From 8fa8612e71a97048e0c51845f00837ed0f9d1e1e Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 10:17:36 -0400
Subject: [PATCH 01/27] add wrapper clearsky_filter

---
 rdtools/filtering.py | 37 +++++++++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)

diff --git a/rdtools/filtering.py b/rdtools/filtering.py
index 08b9139d..ae358f44 100644
--- a/rdtools/filtering.py
+++ b/rdtools/filtering.py
@@ -103,6 +103,43 @@ def tcell_filter(temperature_cell, temperature_cell_low=-50, temperature_cell_hi
     )
 
 
+def clearsky_filter(poa_global_measured, poa_global_clearsky, filter='pvlib', **kwargs):
+    """
+    Wrapper function for running either the CSI or pvlib clearsky filter.
+
+    Parameters
+    ----------
+    poa_global_measured : pandas.Series
+        Plane of array irradiance based on measurments
+    poa_global_clearsky : pandas.Series
+        Plane of array irradiance based on a clear sky model
+    filter : str, default 'pvlib'
+        Clearsky filter to be applied. Can be 'pvlib' or 'csi'.
+    kwargs :
+        Additional clearsky filter args, specific to the filter being
+        used. Keyword must be passed with value.
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series of whether or not the given time is clear
+        based on the selected filter.
+
+    See Also
+    --------
+    csi_filter : Filtering based on clear-sky index (csi).
+    pvlib_clearsky_filter : Filtering based on pvlib's clearsky model.
+    """
+
+    if filter == "pvlib":
+        clearsky_mask = csi_filter(poa_global_measured, poa_global_clearsky, **kwargs)
+    elif filter == "csi":
+        clearsky_mask = pvlib_clearsky_filter(poa_global_measured, poa_global_clearsky, **kwargs)
+    else:
+        raise ValueError("Clearsky filter must be 'pvlib' or 'csi'.")
+    return clearsky_mask
+
+
 def csi_filter(poa_global_measured, poa_global_clearsky, threshold=0.15):
     """
     Filtering based on clear-sky index (csi)

From c0e0429ec616da5270c24df7b57e0ffcdb3483cf Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 10:22:58 -0400
Subject: [PATCH 02/27] rename filter to model

---
 rdtools/filtering.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/rdtools/filtering.py b/rdtools/filtering.py
index ae358f44..2fd7c131 100644
--- a/rdtools/filtering.py
+++ b/rdtools/filtering.py
@@ -103,7 +103,7 @@ def tcell_filter(temperature_cell, temperature_cell_low=-50, temperature_cell_hi
     )
 
 
-def clearsky_filter(poa_global_measured, poa_global_clearsky, filter='pvlib', **kwargs):
+def clearsky_filter(poa_global_measured, poa_global_clearsky, model='pvlib', **kwargs):
     """
     Wrapper function for running either the CSI or pvlib clearsky filter.
 
@@ -113,8 +113,8 @@ def clearsky_filter(poa_global_measured, poa_global_clearsky, filter='pvlib', **
         Plane of array irradiance based on measurments
     poa_global_clearsky : pandas.Series
         Plane of array irradiance based on a clear sky model
-    filter : str, default 'pvlib'
-        Clearsky filter to be applied. Can be 'pvlib' or 'csi'.
+    model : str, default 'pvlib'
+        Clearsky filter model to be applied. Can be 'pvlib' or 'csi'.
     kwargs :
         Additional clearsky filter args, specific to the filter being
         used. Keyword must be passed with value.
@@ -131,9 +131,9 @@ def clearsky_filter(poa_global_measured, poa_global_clearsky, filter='pvlib', **
     pvlib_clearsky_filter : Filtering based on pvlib's clearsky model.
     """
 
-    if filter == "pvlib":
+    if model == "pvlib":
         clearsky_mask = csi_filter(poa_global_measured, poa_global_clearsky, **kwargs)
-    elif filter == "csi":
+    elif model == "csi":
         clearsky_mask = pvlib_clearsky_filter(poa_global_measured, poa_global_clearsky, **kwargs)
     else:
         raise ValueError("Clearsky filter must be 'pvlib' or 'csi'.")

From 5aedbe579a22e108c52664aac8372bfddc8ee98d Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 10:32:06 -0400
Subject: [PATCH 03/27] update analysis_chains with  clearsky filter wrapper

---
 rdtools/analysis_chains.py | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/rdtools/analysis_chains.py b/rdtools/analysis_chains.py
index 7c613149..f9fe784b 100644
--- a/rdtools/analysis_chains.py
+++ b/rdtools/analysis_chains.py
@@ -153,7 +153,7 @@ def __init__(
             "poa_filter": {},
             "tcell_filter": {},
             "clip_filter": {},
-            "pvlib_clearsky_filter": {},
+            "clearsky_filter": {'model': 'pvlib'},
             "ad_hoc_filter": None,  # use this to include an explict filter
         }
         self.filter_params_aggregated = {"ad_hoc_filter": None}
@@ -461,7 +461,7 @@ def _call_clearsky_filter(filter_string):
                     "Both poa_global and poa_global_clearsky must be available to "
                     f"do clearsky filtering with {filter_string}"
                 )
-            f = filtering.pvlib_clearsky_filter(
+            f = filtering.clearsky_filter(
                 self.poa_global,
                 self.poa_global_clearsky,
                 **self.filter_params[filter_string],
@@ -529,12 +529,12 @@ def _call_clearsky_filter(filter_string):
             filter_components["hour_angle_filter"] = f
 
         if case == "clearsky":
-            filter_components["pvlib_clearsky_filter"] = _call_clearsky_filter(
-                "pvlib_clearsky_filter"
+            filter_components["clearsky_filter"] = _call_clearsky_filter(
+                "clearsky_filter"
             )
-        if "sensor_pvlib_clearsky_filter" in self.filter_params:
-            filter_components["sensor_pvlib_clearsky_filter"] = _call_clearsky_filter(
-                "sensor_pvlib_clearsky_filter"
+        if "sensor_clearsky_filter" in self.filter_params:
+            filter_components["sensor_clearsky_filter"] = _call_clearsky_filter(
+                "sensor_clearsky_filter"
             )
 
         # note: the previous implementation using the & operator treated NaN
@@ -803,14 +803,14 @@ def _sensor_preprocess(self):
                 "poa_global must be available to perform _sensor_preprocess"
             )
 
-        if "sensor_pvlib_clearsky_filter" in self.filter_params:
+        if "sensor_clearsky_filter" in self.filter_params:
             try:
                 if self.poa_global_clearsky is None:
                     self._calc_clearsky_poa(model="isotropic")
             except AttributeError:
                 raise AttributeError(
                     "No poa_global_clearsky. 'set_clearsky' must be run "
-                    + "to allow filter_params['sensor_pvlib_clearsky_filter']. "
+                    + "to allow filter_params['sensor_clearsky_filter']. "
                 )
         if self.power_expected is None:
             # Thermal details required if power_expected is not manually set.

From 05e5b83089e2125c8ad139b288ab4db2cda66049 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 10:48:00 -0400
Subject: [PATCH 04/27] update clearsky tests

---
 rdtools/filtering.py                 | 4 ++--
 rdtools/test/analysis_chains_test.py | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/rdtools/filtering.py b/rdtools/filtering.py
index 2fd7c131..4678ff1d 100644
--- a/rdtools/filtering.py
+++ b/rdtools/filtering.py
@@ -131,9 +131,9 @@ def clearsky_filter(poa_global_measured, poa_global_clearsky, model='pvlib', **k
     pvlib_clearsky_filter : Filtering based on pvlib's clearsky model.
     """
 
-    if model == "pvlib":
+    if model == "csi":
         clearsky_mask = csi_filter(poa_global_measured, poa_global_clearsky, **kwargs)
-    elif model == "csi":
+    elif model == "pvlib":
         clearsky_mask = pvlib_clearsky_filter(poa_global_measured, poa_global_clearsky, **kwargs)
     else:
         raise ValueError("Clearsky filter must be 'pvlib' or 'csi'.")
diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py
index 3cc3efd7..cb635754 100644
--- a/rdtools/test/analysis_chains_test.py
+++ b/rdtools/test/analysis_chains_test.py
@@ -277,7 +277,7 @@ def test_aggregated_filter_ad_hoc_warnings(workflow, sensor_parameters):
     rd_analysis.set_clearsky(pvlib_location=pvlib.location.Location(40, -80),
                              poa_global_clearsky=rd_analysis.poa_global)
     # disable all filters outside of CSI
-    rd_analysis.filter_params = {'csi_filter': {}}
+    rd_analysis.filter_params = {"clearsky_filter": {'model': 'csi'}}
     # warning for incomplete index
     daily_ad_hoc_filter = pd.Series(True,
                                     index=sensor_parameters['pv'].index[:-5])
@@ -300,7 +300,7 @@ def test_aggregated_filter_ad_hoc_warnings(workflow, sensor_parameters):
     rd_analysis_2.set_clearsky(pvlib_location=pvlib.location.Location(40, -80),
                                poa_global_clearsky=rd_analysis_2.poa_global)
     # disable all filters outside of CSI
-    rd_analysis_2.filter_params = {'csi_filter': {}}
+    rd_analysis_2.filter_params = {"clearsky_filter": {'model': 'csi'}}
     daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index)
     daily_ad_hoc_filter = daily_ad_hoc_filter.resample(
         '1D').first().dropna(how='all')

From cc912182751ff5b524a987e11dc98952339dc6de Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 11:13:52 -0400
Subject: [PATCH 05/27] update default filter params

---
 rdtools/analysis_chains.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/rdtools/analysis_chains.py b/rdtools/analysis_chains.py
index f9fe784b..7793436d 100644
--- a/rdtools/analysis_chains.py
+++ b/rdtools/analysis_chains.py
@@ -153,7 +153,7 @@ def __init__(
             "poa_filter": {},
             "tcell_filter": {},
             "clip_filter": {},
-            "clearsky_filter": {'model': 'pvlib'},
+            "clearsky_filter": {},
             "ad_hoc_filter": None,  # use this to include an explict filter
         }
         self.filter_params_aggregated = {"ad_hoc_filter": None}

From c562e17fe79f317e6302d186644317a653d6118c Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 11:27:03 -0400
Subject: [PATCH 06/27] add pending changelog

---
 docs/sphinx/source/changelog.rst         |  1 +
 docs/sphinx/source/changelog/pending.rst | 20 ++++++++++++++++++++
 2 files changed, 21 insertions(+)
 create mode 100644 docs/sphinx/source/changelog/pending.rst

diff --git a/docs/sphinx/source/changelog.rst b/docs/sphinx/source/changelog.rst
index 304e6b44..44078cb1 100644
--- a/docs/sphinx/source/changelog.rst
+++ b/docs/sphinx/source/changelog.rst
@@ -1,5 +1,6 @@
 RdTools Change Log
 ==================
+.. include:: changelog/pending.rst
 .. include:: changelog/v2.2.0-beta.2.rst
 .. include:: changelog/v2.2.0-beta.1.rst
 .. include:: changelog/v2.1.8.rst
diff --git a/docs/sphinx/source/changelog/pending.rst b/docs/sphinx/source/changelog/pending.rst
new file mode 100644
index 00000000..751054be
--- /dev/null
+++ b/docs/sphinx/source/changelog/pending.rst
@@ -0,0 +1,20 @@
+********************************
+pending
+********************************
+
+Enhancements
+------------
+* added a new wrapper function for clearsky filters
+
+Bug fixes
+---------
+* tbd
+
+Requirements
+------------
+* tbd
+
+Contributors
+------------
+* Martin Springer (:ghuser:`martin-springer`)
+* Michael Deceglie (:ghuser:`mdeceglie`)
\ No newline at end of file

From e143e2b9aa871d23a419682196194672664aae11 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 11:41:41 -0400
Subject: [PATCH 07/27] update init.py

---
 rdtools/__init__.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/rdtools/__init__.py b/rdtools/__init__.py
index ff9ff8cd..26c82995 100644
--- a/rdtools/__init__.py
+++ b/rdtools/__init__.py
@@ -9,7 +9,9 @@
 from rdtools.degradation import degradation_year_on_year
 from rdtools.aggregation import aggregation_insol
 from rdtools.clearsky_temperature import get_clearsky_tamb
+from rdtools.filtering import clearsky_filter
 from rdtools.filtering import csi_filter
+from rdtools.filtering import pvlib_clearsky_filter
 from rdtools.filtering import poa_filter
 from rdtools.filtering import tcell_filter
 from rdtools.filtering import clip_filter

From a9141e127bb9eab38f00895e954844af42fc735a Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 11:42:55 -0400
Subject: [PATCH 08/27] update api.rst

---
 docs/sphinx/source/api.rst | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst
index c976056b..86520dbd 100644
--- a/docs/sphinx/source/api.rst
+++ b/docs/sphinx/source/api.rst
@@ -9,14 +9,14 @@ Submodules
 ==========
 
 RdTools is organized into submodules focused on different parts of the data
-analysis workflow.  
+analysis workflow.
 
 .. autosummary::
    :toctree: generated/
 
    analysis_chains
    degradation
-   soiling   
+   soiling
    availability
    filtering
    normalization
@@ -42,8 +42,8 @@ Object-oriented end-to-end analysis
    analysis_chains.TrendAnalysis.plot_soiling_monte_carlo
    analysis_chains.TrendAnalysis.plot_pv_vs_irradiance
    analysis_chains.TrendAnalysis.plot_degradation_timeseries
-   
-   
+
+
 Degradation
 ===========
 
@@ -86,7 +86,7 @@ System Availability
 
 .. autosummary::
    :toctree: generated/
-   
+
    AvailabilityAnalysis
    AvailabilityAnalysis.run
    AvailabilityAnalysis.plot
@@ -100,12 +100,14 @@ Filtering
 
 .. autosummary::
    :toctree: generated/
-    
+
    clip_filter
    quantile_clip_filter
    logic_clip_filter
    xgboost_clip_filter
+   clearsky_filter
    csi_filter
+   pvlib_clearsky_filter
    poa_filter
    tcell_filter
    normalized_filter

From 30760c4cc920533b0fe96116804134f55746af5b Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 15:31:56 -0400
Subject: [PATCH 09/27] add test for clearsky_filter function

---
 rdtools/test/filtering_test.py | 30 +++++++++++++++++++++++++++++-
 1 file changed, 29 insertions(+), 1 deletion(-)

diff --git a/rdtools/test/filtering_test.py b/rdtools/test/filtering_test.py
index 4f99b85e..95d36872 100644
--- a/rdtools/test/filtering_test.py
+++ b/rdtools/test/filtering_test.py
@@ -3,7 +3,8 @@
 import pytest
 import pandas as pd
 import numpy as np
-from rdtools import (csi_filter,
+from rdtools import (clearsky_filter,
+                     csi_filter,
                      poa_filter,
                      tcell_filter,
                      clip_filter,
@@ -15,6 +16,33 @@
 from conftest import assert_warnings
 
 
+def test_clearsky_filter(mocker):
+    ''' Unit tests for clearsky filter wrapper function.'''
+    measured_poa = pd.Series([1, 1, 0, 1.15, 0.85])
+    clearsky_poa = pd.Series([1, 2, 1, 1.00, 1.00])
+
+    # Check that a ValueError is thrown when a model is passed that
+    # is not in the acceptable list.
+    pytest.raises(ValueError, clearsky_filter,
+                  measured_poa,
+                  clearsky_poa,
+                  model='invalid')
+
+    # Check that the csi_filter function is called
+    mock_csi_filter = mocker.patch('rdtools.filtering.csi_filter')
+    clearsky_filter(measured_poa,
+                    clearsky_poa,
+                    model='csi')
+    mock_csi_filter.assert_called_once()
+
+    # Check that the pvlib_clearsky_filter function is called
+    mock_pvlib_filter = mocker.patch('rdtools.filtering.pvlib_clearsky_filter')
+    clearsky_filter(measured_poa,
+                    clearsky_poa,
+                    model='pvlib')
+    mock_pvlib_filter.assert_called_once()
+
+
 def test_csi_filter():
     ''' Unit tests for clear sky index filter.'''
 

From f3a7e61dade5a9a09254c9d4c8839cc463c88e71 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 15:40:23 -0400
Subject: [PATCH 10/27] remove experimental warning for logic_clip_filter test

---
 rdtools/test/filtering_test.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/rdtools/test/filtering_test.py b/rdtools/test/filtering_test.py
index 95d36872..c5ca1fc9 100644
--- a/rdtools/test/filtering_test.py
+++ b/rdtools/test/filtering_test.py
@@ -188,8 +188,7 @@ def test_logic_clip_filter(generate_power_time_series_no_clipping,
     with warnings.catch_warnings(record=True) as record:
         logic_clip_filter(power_nc_tz_naive)
         # Warning thrown for it being an experimental filter + tz-naive
-        assert_warnings(['The logic-based filter is an experimental',
-                         'Function expects timestamps in local time'],
+        assert_warnings(['Function expects timestamps in local time'],
                         record)
     # Scramble the index and run through the filter. This should throw
     # an IndexError.
@@ -211,8 +210,7 @@ def test_logic_clip_filter(generate_power_time_series_no_clipping,
         logic_clip_filter(power_datetime_index_irregular)
         # Warning thrown for it being an experimental filter + irregular
         # sampling frequency.
-        assert_warnings(['The logic-based filter is an experimental',
-                         'Variable sampling frequency across time series'],
+        assert_warnings(['Variable sampling frequency across time series'],
                         record)
 
     # Check that the returned time series index for the logic filter is

From 751cfaafa2351eb5781bb57dc8c258d0039172f4 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 16:53:33 -0400
Subject: [PATCH 11/27] re-run notebook

---
 ...radation_and_soiling_example_pvdaq_4.ipynb | 8412 ++++++++---------
 1 file changed, 4147 insertions(+), 4265 deletions(-)

diff --git a/docs/degradation_and_soiling_example_pvdaq_4.ipynb b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
index 2c726520..d7e69201 100644
--- a/docs/degradation_and_soiling_example_pvdaq_4.ipynb
+++ b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
@@ -89,7 +89,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -167,7 +167,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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ZxTXq+//upeYC6DD/mOzTL4k3xvIoeYRrKeY2t8yZo8zvRKhVWcuv9BVRr76qzaNTVRUQnU4nNkcVpz9PYayJSm/16tXo378/pk2bhubNmyMwMBAdOnQQr6yqXbvsK0/s7OwwadIk3L9/H2fPni1zuIiICGRlZYmvss7JWCM570bX+qWLxjSb9VWVzWuyO9Dov/8qJajEv6x6UtVVWB4eHrh161ap7hkZGQAAT0/PMsd1dnbGzp07kZqaipSUFDRu3BiNGzdG9+7d4e7uDhcXl3LnrT+a+PPPsm65enryzNIn0KqCnFfHVBUtZraUf/4zGP9UOEOswjsARUVFsLExbf/XEusOr49PmVRAxo4da/aEBUFAdHS0WeN06tQJhw8fRnZ2tsGJ9KSkJLF/RRo1aoRGjRoBgHhEMWzYsArHu3btGgDA3V3B3TojduzYi8GDlfmy8pekfFp5f5TMGT/YFfvSgf5l7/uZrPhyNJv1ldUdxWqRSQXk22+/Nbg81hTmDg8AISEh+OCDD7BmzRrxPpC8vDx8/vnn8Pf3F48SUlNT8fjxY7Ru3brc6UVERKCgoAD/+Mc/xG63b98uVSQePHiAjz76CG5ubujSpYvZuS3prVPA4MFKpzBfk5l7LfoFt/T0q8KTJ0/Ec3RKsuR7GRAQgACLTFldBszciz0aXx+lMKmApKSkWDjGU/7+/ggNDUVERAQyMzPh7e2NdevWISUlxeBoJiwsDEePHgURid0WLlyICxcuwN/fHzVq1MCOHTvw9ddfY968eXj22WfF4T755BPs2LEDAwcORKNGjZCRkYGYmBikpqYiLi4OdnZ2VbKsTDuenblXvLhBTo+fAM4K1A8tHDVpzQWlAyhEVedAAOCLL75AZGQk4uLicO/ePfj4+GDPnj0IDAwsd7wOHTpg+/bt2LVrFwoLC+Hj44MtW7YgNDTUYLgePXrgxIkTWLt2Le7evYtatWrBz88PMTEx6N27tyUXzWRaaRop6XkA31hw+kq9L7ctNN2O732t2FHUpdm90SbqW0XmrQStH62qlaquwgKeXrK7ePFiZGRkIDc3F6dPn0a/fv0Mhjly5IjB0QcABAcHIykpCdnZ2Xj06BFOnjxZqngAT5+B9fXXXyMjIwP5+fm4d+8eDhw4oJrioQS5NsrRVfwltWQxsdQGR6kNWdcSf5d3RSMzDRelShSQr776Cn369IGrqytq1KgBW1vbUi/GmDok8MaOWYCkArJ161YMGDAAf/zxB1555RUUFRVh5MiReOWVV6DT6eDj44N///vfcmdlMtow0EXpCKyKWes9ONZIK03YkgrIggUL4Ofnh+TkZERFRQF4eqnvhg0bcOHCBWRkZKBp06ayBq3OLLEy9ejRQ/ZpVgXe+DG9SSrbyGploy8nSQXk4sWLeOWVV2Bra4saNZ6eh3/y5AkAoEmTJpg4cSIWLVokX0qmCvHx6vuCfP3110pHYArZo3QAmWlx50hSAXF0dBQvd3VxcYG9vb14tzgANGjQANevX5cnIVONmeeUTlDahG+fKB2BKWSA0gFQ+uKE6kZSAWnVqhUuXrwo/t2pUyfExcWhoKAAubm52Lhxo3g3OJOmqvdGLHH4XR0P6c3F75F5UhYGI36wK8L8XDF6sKvScar9xQmSCsiQIUOwc+dO8cGH77zzDo4cOQIXFxe4u7vj+PHjmDlzpqxBmTLUeFitxkwA8NFHXAyqwr50w3+ZciQVkGnTpiE1NVV8sOCAAQNw5MgRjB8/Hq+//jq++eYbhIeHy5mTMdX76HelE1QPHekuUm7dRUe6q3SUUqrbEaVsNxL+9a9/xdKlS/HBBx+gV69eck2W/ZclVkxL7MkrcXSg5JdWyvKq8QhKSxu+f34PHLv19F+mLNXdic6YGv30009KR5BdfaUDMM2TVECICKtXr4afnx/c3NyM3oWuv7yXMUtoWMXzG7ghtYrnaHmnVXgkpEVqPKKsKpK28tOnT8eSJUvQqVMnjB49GnXr1pU7F4N2H6pYFb7j94YxxUkqIOvWrcOwYcOwZcsWufMwBWn5NzYskZ0LuPqpcZ1VYyZLkdSElZOTgxdeeEHuLIwxxv5LCzsvkgrI888/j++/50sgqiMtrNRaU/KnCVj5/uOrdAKmJ6mArFy5EqdOncL777+Pu3fVdy22tdLKpbzFafE3O6rCtuEe4v+bRuxTMIn2DB+uvs9drnVRa+u05EeZXLt2DZGRkahfvz5q1aoFJycng5ezs7PcWRkrl5aOjnx9eTeaaZ+kk+jDhg2DIAhyZ2EqZe7J5IWd1PngRWY9tLanbq0kFZDY2FiZY7CyaPFKoFdeCcbMc1WTWYvvD7NOF+b0Q/s5BwBUnyux+E50xhgAbTUBqpFDNbx3WtIif/HFF+X2FwQBDg4OaNiwIXx9fcWHLjL10/qek9L5lZ4/U051fPqGpCUODw8Xz4GUvASxeHdBEODk5ISIiAhMnz69klEZsy6n3uqCi78DbZ9RLgM3AbLKkNSEde7cOfj4+KBXr17YunUrzp8/j/PnzyMhIQFBQUHo1KkTEhMTsXXrVvj6+iIiIgKrVq2SO3u1pMVLea1FWe+91PfvmWeewdj4swj46CxvxJkmSSogS5cuRYMGDXDo0CEMGTIEHTp0QIcOHTB06FAcOnQI7u7uiI6OxuDBg3Hw4EEEBARg5cqVcmdnDAAXQKZO1WGnQFIB2bFjBwYNGmS0nyAIePnll7Ft27anM7CxwbBhw/Dbb79JT8mYQpopHYAxFZNUQIqKinDlypUy+1++fBlFRUXi3/b29nBwcDBp2nl5eZgxYwY8PT2h0+ng7++PgwcPmjRufHw8fH194eDgAHd3d4wbNw537twxOmx0dDTatGkDBwcHtGjRAsuXLzdpHkpIWRhs8FKauXtWWt4T+1YF7zfTDrm/n+Eq/+5IKiAvv/wyVq5ciRUrViA3N1fsnpubi+XLl+PTTz/FwIEDxe4nT56Et7e3SdMODw/HkiVLMGrUKCxbtgy2trbo378/vvvuu3LHW7VqFUaOHIl69ephyZIlGD9+POLj4/H8888bZASA1atX47XXXkO7du2wfPlydOvWDVOmTMGiRYvMeBeYmqipwDImlyNKB6iApKuwli1bhqtXr2LKlCmYNm0aPDyePtcnIyMD+fn58PPzw7JlywA8LSo6nQ5vv/12hdM9ffo04uPjsXjxYkybNg0AEBYWhvbt22P69Ok4ceKE0fHy8/Mxa9YsBAYG4uDBg+KVYN27d8fAgQPx2WefYfLkyQCePkn4nXfeQXBwMBISEgAA48ePR1FREebOnYsJEyZU+983MXYp6tG/t0fPVRdMnkZHAOdlzsVYdROkdIAKSDoCqVevHhITE5GQkIAxY8agVatWaNWqFcaMGYOEhAScOHEC9erVAwA4ODjgs88+w8iRIyucbkJCAmxtbTFhwgSxm4ODA8aNG4eTJ08iLS3N6HgXLlzA/fv3MWLECINHrAwYMAC1a9dGfHy82O3w4cO4e/cuJk6caDCNN998E48ePcLeveo+ZFRK48aNzRp+Jx8JmOQvJf5l1kVK823xo+lYlX+PJN/5IggChg4diqFDh8oWJjk5GS1btoSTk5NBdz8/PwBPLx/28vIqNV5eXh4AQKfTleqn0+mQnJyMoqIi2NjYIDk5GQDQtWtXg+G6dOki9h89erTRfHl5eeK8ACA7O9uMpVO3PgBMO9PE5JSo8g0EY+VR1aNMMjIyxOaw4vTd0tPTjY7XokULCIKAxMREg+5XrlzB7du3kZOTg3v37onzsLW1Rf369Q2GtbOzg6ura5nzAIAFCxbA2dlZfBkrZlr1GW/IGIDz57nhkZnOpCOQpk2bwsbGBpcvX0bNmjXRtGnTCp/GKwgCrl69alaYnJwco4890V/BlZOTY3Q8Nzc3DB8+HOvWrUObNm0wZMgQ3Lp1C5MnT0bNmjXx5MkTcdycnBzY2dkZnY6Dg0OZ8wCAiIgIg3M52dnZVlVEGBu06SZSOnZUOoamVae7+00qID179oQgCLCxsTH4W246nc6giUhPfxWVsSYqvdWrVyMnJwfTpk0TT8CPHj0azZs3x7Zt21C7dm1xGvn5+UanoT/hXxZ7e3t+rhdjjP2XSQWk5OPbLfU4dw8PD9y6datU94yMDACAp6dnmeM6Oztj586dSE1NRUpKCho3bozGjRuje/fucHd3h4uLiziPwsJCZGZmGjRj5efn4+7du+XOgzFTfPnlXoSGaqdJsDrtMSvhrZl78ZGVNhGr6hxIp06d8Msvv5Q6OZ2UlCT2r0ijRo0QGBiIxo0b4/79+zh79ixeeOEFg3kAwJkzZwzGO3PmDIqKikyaR3VQ0QZl//79Zk3v3XetYwM1a1bFy/Gvs1UQhGnGDqUDWJDkhylu2rTJoNuBAwcQGBgIf39/8R4Qc4WEhKCwsBBr1qwRu+Xl5eHzzz+Hv7+/eL4hNTUVly9frnB6ERERKCgowD/+8Q+xW+/evVGvXr1SD3dctWoVHB0dERxsnXsKcnvjSKFZw68vsFCQKraxyHj3D5+t2hyMqYGky3inT58OR0dH8d6O69evY8iQIXB1dYWnpyfefvtt6HQ6g/s5TOHv74/Q0FBEREQgMzMT3t7eWLduHVJSUhAdHS0OFxYWhqNHjxo8Sn7hwoW4cOEC/P39UaNGDezYsQNff/015s2bh2ef/d+3W6fTYe7cuXjzzTcRGhqKfv364fjx41i/fj3mz58v3r/CmDmGDQvGP7+3jqMsVnnVpVlQUgE5f/48/vWvf4l/f/HFF7C1tUVycjLc3NwwYsQIfPrpp2YXEP20IiMjERcXh3v37sHHxwd79uxBYGBgueN16NAB27dvx65du1BYWAgfHx9s2bIFoaGhpYadOHEiatasiQ8//BC7du2Cl5cXli5diqlTp5qd15pU9BgQc78U1vIlspblYExukgpIVlYWXF1dxb/37duHPn36wM3NDQDQp08ffPXVV5ICOTg4YPHixVi8eHGZwxw5cqRUt+DgYLOan8aPH4/x48dLicgYY2ax1l+qlHQOxMPDA5cuXQLw9Aqps2fPom/fvmL/hw8fipf8MsYYs06SjkAGDRqE5cuXIzc3F0lJSbC3t8eQIUPE/ufPn0ezZvxLCowxZs0kHSbMmzcPQ4cORVxcHDIzMxEbG4sGDRoAeHp3dkJCgsERCWNMO/h8jzysscmqJElHILVr18aGDRvK7Hfz5k04OjpWKhhjjDF1k/w03rLY2NjA2dlZ7skyxhhTGT7TzaqMtTeNLOsG9G789F+tqQ7NLUqzxvVf9iMQVn3Exu5FeDhvePQGDQrGIKVDMFaF+AiESTan4qfJMFat9VE6gIVxAWFm6WHm8NbYNGKNTRHMMqz9h9q4gDCzbLDyLwRjzHSSzoEcO3as3P6CIMDBwQENGzY0+hO1jDFWHVnbI00kFZCgoCCTf5GwRYsWiIqKwogRI6TMilkBa/jC8AMVGStNUgHZv38/ZsyYgby8PIwfPx7e3t4AgF9//RVr166FTqfDu+++ixs3bmD16tV49dVXYWtri5CQEFnDM8YYU47kAuLg4ICkpCTY2dkZ9Js4cSKCgoJw6tQpLFq0CG+88Qa6du2KRYsWcQFhjFU71nz0Kukk+oYNG/Dqq6+WKh7A08exjxo1CuvWrRP/Hj16NC5evFi5pIyxKmOtGzwmL0kF5NGjR/jjjz/K7J+RkYGHDx+Kf7u4uMDW1lbKrBhjzKpMtqLiLKmA9O7dGx999BH27NlTqt/u3buxbNky9O7dW+x27tw5NGnSRHJIxpjlWcPFDlqwW+kAMpJ0DmTFihXo1asXBg0ahL/85S9o3rw5AODq1au4desWGjdujOXLlwMAcnNzkZqaitdee02+1Ew1+szci4O84WGsWpJUQBo1aoSffvoJn376KQ4cOIAbN24AANq0aYO33noLr7/+OmrVqgXg6TmQffv2yZeYqcqvSgdgTAOs9US65IcpOjo64u2338bbb78tZx6mAe/7ALN+VDoFY0xp/CgTZrZXX+UmK8bMtWd0Y0zv3Rh7RjdWOopsJB+BHDhwANHR0bh27Rru3bsHIjLoLwgCrl69WumAjKmRtT2Sglle+/bt0b690inkJamALF68GDNnzkSDBg3g5+eHDh06yJ2LMcaYykkqIPrLdPft24eaNWvKnYkxxpgGSDoHcu/ePYSEhFikeOTl5WHGjBnw9PSETqeDv78/Dh48aNK4hw4dQq9eveDm5gYXFxf4+fkhLi6u1HCCIBh9LVy4UO7FYVaEm6wYMyTpCMTPzw9XrlyROwsAIDw8HAkJCXjrrbfQokULxMbGon///jh8+DCee+65MsfbtWsXBg8ejG7dumHOnDkQBAFbtmxBWFgY7ty5g3/84x8Gw/fp0wdhYWEG3Tp37myRZWJMi/g8D6uIpAKycuVKvPTSS+jatSteffVV2cKcPn0a8fHxWLx4MaZNmwYACAsLQ/v27TF9+nScOHGizHFXrFgBDw8PfPvtt7C3twcAvP7662jdujViY2NLFZCWLVti9OjRsmVnjLHqRlIT1ogRI1BQUID/+7//g7OzM9q1awcfHx+DV8eOHc2ebkJCAmxtbTFhwgSxm4ODA8aNG4eTJ08iLS2tzHGzs7NRt25dsXgAQI0aNeDm5gadTmd0nJycHOTm5pqdkxmyxhukqis+4mDmkFRA6tWrhxYtWiAwMBC+vr6oX78+XF1dDV716tUze7rJyclo2bIlnJycDLr7+fkBePpMrbIEBQXh559/RmRkJH777TdcvXoVc+fOxZkzZzB9+vRSw8fGxqJWrVrQ6XRo27YtNm7cWGG+vLw8ZGdnG7wYY6y6ktSEdeTIEZljPJWRkWH0J3D13dLT08scNzIyEtevX8f8+fMxb948AE/vlt+6dSsGDRpkMGz37t0xfPhwNG3aFOnp6fjkk08watQoZGVl4e9//3uZ81iwYAGioqKkLBpjjFkdVd2JnpOTY9AEpefg4CD2L4u9vT1atmyJkJAQbNq0CevXr0fXrl0xevRonDp1ymDYxMRETJ06FS+//DLeeOMNnD17Fu3bt8esWbPKnUdERASysrLEV3lNataOmzoYYyYdgRw7dgwAEBgYaPB3RfTDm0qn0yEvL69Ud/15irLOZQDApEmTcOrUKfzwww+wsXlaF4cPH4527dph6tSpSEpKKnNcOzs7TJo0SSwmZV3tZW9vb7TAMcZYdWRSAQkKCoIgCMjJyYGdnZ34d1mICIIgoLCw0KwwHh4euHXrVqnuGRkZAABPT0+j4+Xn5yM6OhrTp08XiwcA1KxZEy+99BJWrFiB/Px8o7+gqOfl5QUA+PPPP83KzBhj1ZVJBeTw4cMAIG6A9X/LrVOnTjh8+DCys7MNTqTrjx46depkdLy7d++ioKDAaMF68uQJioqKKixm165dAwC4u7tLTM8YY9WLQCWfgqigpKQkBAQEGNwHkpeXh/bt28PV1VU8l5GamorHjx+jdevWAIDCwkK4ubmhfv36+Omnn8RC9/DhQ7Rp0wa1a9fGpUuXAAC3b98uVSQePHiAzp07IysrC7du3Sr3SKW47OxsODs7Iysrq9SVY9VB8ct3+ZyI9eDPtXozZ7sm+Wm8luDv74/Q0FBEREQgMzMT3t7eWLduHVJSUhAdHS0OFxYWhqNHj4pPALa1tcW0adPw7rvvIiAgAGFhYSgsLER0dDRu3ryJ9evXi+N+8skn2LFjBwYOHIhGjRohIyMDMTExSE1NRVxcnMnFgzHGqjuTCsjYsWPNnrAgCAYbfVN98cUXiIyMRFxcHO7duwcfHx/s2bOnwhPy77zzDpo2bYply5YhKioKeXl58PHxQUJCAoYNGyYO16NHD5w4cQJr167F3bt3UatWLfj5+SEmJsbgd9xZxXjvlLHqzaQmrCZNmpR70tzohAVBPK9grap7ExazTiWfLMA7CtWL7E1YKSkpcuRijDFmRVR1IyFjTHl8xMFMxQWEMcaYJCY1YdnY2MDGxgaPHz+GnZ0dbGxsKjwnIggCCgoKZAnJGGNMfUwqIP/+978hCAJq1Khh8DdjjLHqy6QCMmfOnHL/ZowxVv3wORDGGGOSSC4g2dnZiIqKgp+fHxo0aIAGDRrAz88P7733Hv/QEmOMVQOSCkh6ejo6d+6MqKgoPHz4ED169ECPHj3w6NEjzJkzB76+vuITdBljjFknSc/CmjFjBn7//Xfs2bMH/fv3N+j31VdfITQ0FDNnzsS6detkCckYY0x9JB2B7N+/H2+99Vap4gEAL730EqZMmYJ9+/ZVOhxjTHnnzp1TOgJTKUkF5NGjR2jQoEGZ/Z955hk8evRIcijGmHoMji/9I2+MARILSNu2bbFp0ybk5+eX6vfkyRNs2rQJbdu2rXQ4xpgyPg2yVToC0wDJ50BGjBgBPz8/TJw4ES1btgQAXLlyBZ9++il+/PFHbN68WdagjLGq8+KLLwJH9lY8IKvWJBWQ0NBQPHr0CDNnzsQbb7wh3pVORKhfvz5iYmIQEhIia1DGGGPqIvkXCcPDwzF69GicOXMGN27cAAA0btwYXbt2FR95whhjzHpVaktfo0YNBAQEICAgQK48jDHGNELSSfRz585h06ZNBt0OHDiAwMBA+Pv7Y9myZbKEY4wxpl6SCsj06dMNTpJfv34dQ4YMwfXr1wEAb7/9NtasWSNPQsYYY6okqYCcP38ezz33nPj3F198AVtbWyQnJyMpKQkhISH49NNPZQvJGGNMfSQVkKysLLi6uop/79u3D3369IGbmxsAoE+fPvjtt9/kScgYY0yVJBUQDw8PXLp0CQCQkZGBs2fPom/fvmL/hw8fwsaGnxTPmLW4ffu20hGYCkm6CmvQoEFYvnw5cnNzkZSUBHt7ewwZMkTsf/78eTRr1ky2kIwxZT374WmkLAxWOgZTGUkFZN68ebh9+zbi4uLg4uKC2NhY8dlY2dnZSEhIwJtvvilrUMYYY+oiqZ2pdu3a2LBhA+7du4fr168jNDTUoN/Nmzcxd+5cSYHy8vIwY8YMeHp6QqfTwd/fHwcPHjRp3EOHDqFXr15wc3ODi4sL/Pz8EBcXZ3TY6OhotGnTBg4ODmjRogWWL18uKS9j1oqPOFhFZD9RYWNjA2dnZ9SsWVPS+OHh4ViyZAlGjRqFZcuWwdbWFv3798d3331X7ni7du1C3759kZ+fjzlz5mD+/PnQ6XQICwvD0qVLDYZdvXo1XnvtNbRr1w7Lly9Ht27dMGXKFCxatEhSZsYYq44EIiKlQ+idPn0a/v7+WLx4MaZNmwYAyM3NRfv27VG/fn2cOHGizHH79u2Ln3/+GdeuXYO9vT0AoKCgAK1bt0atWrVw/vx5AEBOTg68vLwQEBCAPXv2iOOPHj0aO3bsQFpaGurWrWtS3uzsbDg7OyMrKwtOTk5SF5sx1Woy838PVOQjkurBnO2aqi6VSkhIgK2tLSZMmCB2c3BwwLhx43Dy5EmkpaWVOW52djbq1q0rFg/g6aNW3NzcoNPpxG6HDx/G3bt3MXHiRIPx33zzTTx69Ah79/ITSBljzBSqKiDJyclo2bJlqarn5+cHoPxfRgsKCsLPP/+MyMhI/Pbbb7h69Srmzp2LM2fOYPr06QbzAICuXbsajN+lSxfY2NiI/Y3Jy8tDdna2wYsxxqorVT02NyMjAx4eHqW667ulp6eXOW5kZCSuX7+O+fPnY968eQAAR0dHbN26FYMGDTKYh62tLerXr28wvp2dHVxdXcudx4IFCxAVFWXWMjHGmLVS1RFITk6OQROUnoODg9i/LPb29mjZsiVCQkKwadMmrF+/Hl27dsXo0aNx6tQpg3nY2dkZnYaDg0O584iIiEBWVpb4Kq9JjTHGrJ2qjkB0Oh3y8vJKdc/NzRX7l2XSpEk4deoUfvjhB/Eu+OHDh6Ndu3aYOnUqkpKSxGkY+yle/XzKm4e9vb3RAscYY9WRqo5APDw8kJGRUaq7vpunp6fR8fLz8xEdHY3g4GCDR6jUrFkTL730Es6cOSMWDQ8PDxQWFiIzM7PUNO7evVvmPBir7j78kC8wYYZUVUA6deqEX375pdTJaf3RQ6dOnYyOd/fuXRQUFKCwsLBUvydPnqCoqEjsp5/GmTNnDIY7c+YMioqKypwHY9Xdcn4cFitBVQUkJCQEhYWFBr8lkpeXh88//xz+/v7w8vICAKSmpuLy5cviMPXr14eLiwu2b99u0Dz18OFD7N69G61btxabpnr37o169eph1apVBvNetWoVHB0dERzM17ozpvc2H5CzcqjqHIi/vz9CQ0MRERGBzMxMeHt7Y926dUhJSUF0dLQ4XFhYGI4ePQr9PZC2traYNm0a3n33XQQEBCAsLAyFhYWIjo7GzZs3sX79enFcnU6HuXPn4s0330RoaCj69euH48ePY/369Zg/fz7q1atX5cvNmFpNmRKMJTO56YoZp6oCAjz9carIyEjExcXh3r178PHxwZ49exAYGFjueO+88w6aNm2KZcuWISoqCnl5efDx8UFCQgKGDRtmMOzEiRNRs2ZNfPjhh9i1axe8vLywdOlSTJ061ZKLxhhjVkVVjzLRGn6UCasO+HEm1YtmH2XCGGNMO7iAMMYYk4QLCGOMMUm4gDDGGJOECwhjjDFJuIAwxhiThAsIY8xkTfimQlYMFxDGGGOScAFhjJUrfrCr0hGYSnEBYYyVKyAgQOkITKW4gDDGGJOECwhjjDFJuIAwxhiThAsIY4wxSbiAMMYYk4QLCGOMMUm4gDDGGJOECwhjjDFJuIAwxszCz8NielxAGGOMScIFhDFWoZSFwUpHYCrEBYQxxpgkXEAYY4xJwgWEMcaYJKorIHl5eZgxYwY8PT2h0+ng7++PgwcPVjhekyZNIAiC0VeLFi0Mhi1ruIULF1pqsRhjzOrUUDpASeHh4UhISMBbb72FFi1aIDY2Fv3798fhw4fx3HPPlTneRx99hIcPHxp0u3HjBt5991307du31PB9+vRBWFiYQbfOnTvLsxCMWaF1L9XGznRgkKfSSZhqkIokJSURAFq8eLHYLScnh5o3b07dunUze3pz584lAJSYmGjQHQC9+eablc6blZVFACgrK6vS02KMMTUwZ7umqiashIQE2NraYsKECWI3BwcHjBs3DidPnkRaWppZ09u4cSOaNm2K7t27G+2fk5OD3NzcSmVmjLHqSlUFJDk5GS1btoSTk5NBdz8/PwDAuXPnzJrWpUuX8OqrrxrtHxsbi1q1akGn06Ft27bYuHGj5NyMMVYdqeocSEZGBjw8PEp113dLT083eVobNmwAAIwaNapUv+7du2P48OFo2rQp0tPT8cknn2DUqFHIysrC3//+9zKnmZeXh7y8PPHv7Oxsk/Mwxpi1UVUBycnJgb29fanuDg4OYn9TFBUVIT4+Hp07d0abNm1K9U9MTDT4e+zYsejSpQtmzZqF8PBw6HQ6o9NdsGABoqKiTMrAGGPWTlVNWDqdzmAPX09/nqKsDXtJR48exa1bt4wefRhjZ2eHSZMm4f79+zh79myZw0VERCArK0t8mXtOhjHGrImqjkA8PDxw69atUt0zMjIAAJ6epl0/uGHDBtjY2GDkyJEmz9vLywsA8Oeff5Y5jL29vdEjJMYYq45UVUA6deqEw4cPIzs72+BEelJSkti/Inl5edi6dSuCgoJMLjgAcO3aNQCAu7u7yeMQEQA+F8IYsx767Zl++1Yui19UbIZTp06Vug8kNzeXvL29yd/fX+x248YNunTpktFpbNu2jQBQdHS00f6ZmZmlumVnZ1Pz5s3Jzc2N8vLyTM6blpZGAPjFL37xy+peaWlpFW4DVXUE4u/vj9DQUERERCAzMxPe3t5Yt24dUlJSEB0dLQ4XFhaGo0ePGq2QGzZsgL29PYYNG2Z0Hp988gl27NiBgQMHolGjRsjIyEBMTAxSU1MRFxcHOzs7k/N6enoiLS0NderUgSAIpfpnZ2fDy8sLaWlppS5NVgstZAS0kVMLGQFt5NRCRkAbOc3NSER48OCBSS04qiogAPDFF18gMjIScXFxuHfvHnx8fLBnzx4EBgZWOG52djb27t2L4OBgODs7Gx2mR48eOHHiBNauXYu7d++iVq1a8PPzQ0xMDHr37m1WVhsbGzRs2LDC4ZycnFS7culpISOgjZxayAhoI6cWMgLayGlOxrK2nyUJZGw3nskiOzsbzs7OyMrKUu3KpYWMgDZyaiEjoI2cWsgIaCOnJTOq6jJexhhj2sEFxILs7e0xe/ZsVV/6q4WMgDZyaiEjoI2cWsgIaCOnJTNyExZjjDFJ+AiEMcaYJFxAGGOMScIFhDHGmCRcQBhjjEnCBYQxxjRMyeuguIAwxfAFgEyNsrKylI5gks2bNwOA0ccoVRUuIGZITk5GamqqwQqmto3g48ePlY5QoWvXruHx48eq/z368+fP49dff8XNmzfFbmr7vHfu3ImJEyeKT5MuKipSOJFxmzZtQp06dUr9mJuabNu2DX379sXSpUuRkpKidJwyxcfHo3nz5hg5ciS+++47RbNwATHBpUuX8Nxzz+H5559Hx44d4efnh61bt6KgoACCIKhio3LlyhV06dIFr732mtJRyvTjjz8iODgYAwcORNOmTREUFITExERVvH/F/fjjj+jTpw8GDBiALl26oGPHjvj444/Fz1stDh48iCFDhiAuLg579uwB8PT5bGqSnJwMf39/jB07FsHBwap83Ed6ejqCg4MRFhYGOzs7ODo6wtHRUelYpejfyzFjxqBOnTpwcHAw+gN8VcrkZ5dXU3/88Qd17tyZunfvTjExMRQTE0MBAQHk4uJCs2fPJiKioqIixfIVFRVRQkICtWzZkgRBIEEQ6MiRI4rlMaagoIA+/vhjcnd3p549e9K///1vmjhxInl5eVHr1q1Vkzc/P5/mz59PLi4u1LNnT1q+fDlt2rSJgoKCyMnJibZt26Z0RCL63/p29uxZcnV1JZ1OR/7+/nTu3DkiIiosLFQyHhERPX78mP72t7+RIAjUs2dP2rlzJ/3xxx9KxzJq9uzZ1KZNG9qwYQOlpqYqHaeUrKwsCgsLI0EQKCgoiHbu3El79+4lBwcH+uCDD4jo6XdMCVxAKhAfH081atSghIQEsdvNmzdpxIgRJAgCHTp0SMF0RFevXqX27duTq6srzZs3j9q2bUsBAQH05MkTRXMVt3//fmrWrBmNHTuWLl++LHZPTEwkQRBoxowZqsi7d+9e8vX1pbfeeot++eUX8Uv566+/kiAI9J///EfRnYWSEhISqG/fvvTpp5+SIAg0a9YsMbOSOQsKCmj+/PkkCAKNHz+ebt++Xebnq/T7mZqaSg0aNKApU6aU6l6cUjkfPXpELVq0oGbNmtGqVavoxo0bRER07do1qlu3Lg0dOlTRHQYuIBVYtGgROTs7ix9Sfn4+ET3d+/Pz86P27dsrumd148YNmjVrlrj3+cknn5AgCLR27VrFMpW0ZMkSatOmjcGPeel/uCsgIID69OlDRMpvTL777jv68MMPS/3o2Pbt26l+/fq0efNmIlI+p37+SUlJ5OzsTEREL7zwAnl4eNDBgwcNhlHKmTNnqEePHtS6dWux286dO2nMmDE0ffp0iomJMevH2yzl2LFj5OjoSL/88gsREX3xxRfUtm1batu2LQ0ePJg2btyoWDb9NufEiRN04cIFcduj9+yzz1JQUBDl5uYq9nlzAfkv/YdV8oNYunQp1alThw4fPkxEZLCHt3nzZrK3t6f333/f6LhVlTE3N1f8/5UrV6hv377UsGFDunPnjkXzGFM8Y/GcV65cMehP9PS9DAoKoueee45ycnIUy1me48ePU/v27cnJyYnmzJlDP/30E927d89gGkplTEhIIG9vbyIiSk5OJkEQaMyYMfTnn3+WO15V5dQfGf3zn/+kvn37kiAI5O3tTXXq1CFBEGjo0KF04cIFg2lUdcYzZ85QjRo1aPv27RQTE0M2NjYUEhJCY8aMofr165MgCPT5559bNJspOYsrKiqiwsJCevPNN8nZ2VlcH5UoItW+gOjbvUvuses/jIMHD5K9vT3NmTNH7Kb/kH///XcaPnw4ubu7W3RvqqyMZdm8eTPpdDqaPn26xTKVZG5GfYHp3LkzjRgxQuxmaabk1H++M2bMIEEQqFevXjRmzBgaN24cubi40CuvvKJoRv37dPr0aapTpw6lp6cTEdG4cePI3t5e3Gt+9OiRIjn1+W7cuEEhISEkCAL17t2b9u/fTzdu3KBbt27R3LlzycbGhkJDQxXJqHfmzBlyc3Oj0aNHU8eOHSkyMpIePHhAREQ//vgj9evXj1xdXcv8Ce2qymlMZGQkCYJAu3btsmCy8lXrAnLs2DFq164dCYJAffv2pYsXLxJR6Q2Zr68vde7cmX766adS/Tds2EA1atSgVatWGR23qjIW75aZmUljx44lBwcHcQ/PkhtnczIWl5aWRrVq1aIFCxYQkeVPBJqaU//39u3bafPmzXTnzh2xW0REBNnY2NDixYuJSP49Z3Peyy1btlDLli3FJtTs7GxydHSkXr160d/+9jf6v//7P7G4yM3UnBs2bKDw8HBKTEws1W/UqFHk7OwsbgCV+u706NGDbGxsyM3NjU6cOGHQ7+uvv6Z69erR1KlTicgyR0rmfn/0GY4fP06CINCWLVvKHd6Sqm0BOXnyJLVu3ZqaNGlCoaGhJAgCLVq0yOBkn36DtnPnThIEgebNmyc2tej7XblyhRo2bEgTJkyQfeUyJWNZvvnmG/rLX/5CQ4YMkTWTnBmPHTtGgiDQgQMHLJrR3JzlfRF//fVX8vb2po4dOxo0HVZlRn2+48ePk6OjI6WlpYn9Ro4cSba2tlSzZk2aPXs2PXz4UNaMpubUZ8zKyip1Tkk/3KlTp0gQBIOj+6rMqP8O79+/X7yCUX+koW9RyMzMpBdffJG8vLxk/7xNzVmWCxcuUN26dWny5MlExAWkSl28eJHs7e3pyy+/JCKiv/71r9SiRQtKTEw0Onz//v3J09OTdu/eTUSGe8vt2rWjsLAwIpL3QzQ3Y/H5P3z4UDzE/eabb4iI6OjRo7Rz505Zc0rJqLdy5UqqUaOG2GRQUFBAV69epTNnzsiasbI5iQz3PLt160YBAQGyb1BKZgwMDCw3Y3x8PLVq1Yru379Phw8fpueee45sbW3JycmJvL296fjx40Qk/4ZF6ntZsgn49u3b5OLiYpGmVnMzjho1igRBoNdff52IyGADHhISQm3btqWsrCzFcxaXmZlJjRs3pueff56ys7Nlz2aKallA9Bv/4ntG+r3hKVOmiCtK8Y3GjRs3qHbt2hQQEEA//PCD2P3UqVPk5OREUVFRimQ0tnHQ5758+TL5+vpShw4dKCoqiry8vMjV1VW2q8Yqk5GIaODAgdS9e3cietqctX79eurcuTP5+vrS3bt3ZclY2ZwljyoPHDhANWvWpLfeeku2fOZm1Of85ptvyM7OjgYMGEC2trbUo0cPOnbsGG3ZskXcGMp9bk7O93LlypUkCAJ99tlnimQsnictLY2cnJxKHRH//PPP1Lx5cxo9erTshViO93Lo0KHUrl07evjwIR+BWEJ8fDy9/vrrtHDhQjp27JjYvfibrf8wxowZQy4uLrRjxw6Daeg/6NjYWGrUqBE1bdqUPv74Y1q7di0NHDiQvLy86Mcff1Q0ozE3btyg8PBw8fB80KBBBs0dSmUsKiqiBw8ekIeHB73yyit06NAhevnll0kQBHrxxRfp5s2bkjLKnbO49PR02r17N/Xs2ZPatm0rng9TMmNiYiL5+PhQmzZtaMWKFZSWliauqz169KDx48dXqoBY6r38/fffafv27eTj40M9e/as1NWCcn6/4+PjycPDg+rVq0fjx4+n999/n1566SWqW7dupZtZLfFeFhUV0bx580gQBPEqx6ouIlZbQH7//Xfq168f1apVi3x9falu3bpkb29Ps2fPFi97K3nT1c2bN6l27do0dOhQcUNbWFho8KEcOXKEevToQc7OzuTq6ko+Pj703XffKZ6xpOPHj9OLL75INjY21LlzZ5Obaqoq42+//UaOjo7k6+tLtWvXplatWolNbWrKeeTIERo/fjyFhIRQnTp1qGPHjvT9998rmlHfvJKfn0/Hjh2jn376SSwU+vEqc1m0Jd/LN954g0aOHEm1a9cmX19f8f4lJTMW/34nJiZSv379yMXFherXr0+dO3c22OArmdOYpUuXkiAIBjc6VyWrLSDr1q2jevXq0YYNGyg9PZ3u3r1L4eHhVKdOHZo4cWKp4fUf3vz588nGxobWrFljsGIV/39OTg798ccfkjcklspY3KFDh8jOzo5WrFihyozffvstCYJA9evXr3RGS+bcvXs3eXt7U1BQEMXExKguoyX2OC31XiYkJFDt2rXJ39+/0s1Wlvx+5+Xl0b179+j8+fOVymiJnHr6gpKRkUGxsbGVzimV1RaQnj17UkBAgEG3R48e0ZgxY0gQBNq7dy8Rla7s+fn51Lx5c/L39xfvTr169apBO6VcV1tZMiORPJfFyp2x+PmX1atXl7q7Vo05r169KstnLmfG3377rdTnLRdLvpfnz59X5Xppie+3pXMq/bQBIissIIWFhZSbm0v9+vWjHj16iN31h/1nz56lLl26ULNmzUp9ACUv250xYwZ9/vnn5OvrS1OmTJHtxqzqnlHOK0YsmVOuS2AtmfHx48eyZLR0Ti28l3LeeKmVnJWl6QJy6dIlmjp1Kk2ePJneeecdsVITEQ0ePJhatWolnuwsXuHXrFlDgiDQ0qVLiaj0nvqTJ0/o2WefJVtbWxIEgTw8PGj//v2cUcGMWsmphYxayamFjFrKaQmaLCB5eXk0bdo00ul01LVrV2rRogUJgkDNmjUTr6dOSEggQRAoJiZG/ND0H1BKSgo9//zz1LRp01InH3/44Qd65513qHbt2lSnTh366KOPOKOCGbWSUwsZtZJTCxm1lNOSNFdAHjx4QLNmzaJmzZrRokWL6MqVK1RYWEiHDh0iT09P+utf/0qPHz+mgoIC6tixIwUGBlJKSkqp6cyZM4dcXFzENkiipx/epEmTxIfS6W9w44zKZNRKTi1k1EpOLWTUUk5L01wBuX79OjVt2pRef/11un//vkG/119/ndzd3cU7mePi4kgQBFqyZInYbqiv9MnJyWRjY0Pbt28nov+1TZ4+fVp8Fg1nVDajVnJqIaNWcmoho5ZyWprmCkhRURGtWbPGoJv+Sp4tW7ZQjRo1xOfZ3L9/n4YOHUrPPPNMqZtyTp8+TYIg0Lp16zijSjNqJacWMmolpxYyaimnpWmugBD9r0qXPOm0ePFisrW1NfjVu7S0NGrQoAG1a9dOPAF169YtmjRpEjVu3Jh+//13zqjijFrJqYWMWsmphYxaymlJmiwgJelPTk2dOpWeeeYZcU9A/8EeOHCAfH19SRAE6tSpE3Xr1o1q1qxJUVFRVFBQUCXXU3PG6pVTCxm1klMLGbWUU04CERGsRNeuXdGkSRMkJCSgsLAQtra2Yr87d+4gOjoaV69eRXZ2NqZOnYpu3bpxRo1m1EpOLWTUSk4tZNRSTlkoXcHkkpmZSTqdTvyhH6KnewT6n/dUA84oHy3k1EJGIm3k1EJGIu3klIuN0gVMLhcuXEBubi6effZZAMDvv/+OjRs3ol+/frh9+7bC6Z7ijPLRQk4tZAS0kVMLGQHt5JSL5gsI/bcF7vvvv4ezszM8PT1x5MgRTJw4EWPHjgURwcbGRhyOM2o3o1ZyaiGjVnJqIaOWcsqu6g52LGvo0KHUvHlzGj9+PNWpU4datGhBX3/9tdKxDHBG+WghpxYyEmkjpxYyEmknp1ysooDk5ORQp06dSBAEcnJyEp8toyacUT5ayKmFjETayKmFjETaySknq7kKa8aMGRAEAVFRUbC3t1c6jlGcUT5ayKmFjIA2cmohI6CdnHKxmgJSVFQEGxt1n9LhjPLRQk4tZAS0kVMLGQHt5JSL1RQQxhhjVav6lErGGGOy4gLCGGNMEi4gjDHGJOECwhhjTBIuIIwxxiThAsIYY0wSLiCMMcYk4QLCGGNMEi4gjDHGJOECwhhjTBIuIIwxxiT5fxoXrDQcgFGUAAAAAElFTkSuQmCC\n",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -202,7 +202,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -251,7 +251,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -266,7 +266,7 @@
     "normalized_mask = rdtools.normalized_filter(df['normalized'])\n",
     "poa_mask = rdtools.poa_filter(df['poa'])\n",
     "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n",
-    "# Note: This clipping mask may be disabled when you are sure the system is not \n",
+    "# Note: This clipping mask may be disabled when you are sure the system is not\n",
     "# experiencing clipping due to high DC/AC ratio\n",
     "clip_mask = rdtools.clip_filter(df['power'], 'quantile')\n",
     "\n",
@@ -300,10 +300,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:416: UserWarning: The logic-based filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The logic-based filter is an experimental clipping filter \"\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\filtering.py:745: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [16:28:13] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0750514818a16474a-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:873: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n",
+      "  warnings.warn(smsg, UserWarning)\n"
      ]
     }
    ],
@@ -323,88 +329,6 @@
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    "metadata": {},
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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return 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-       "/*!\n",
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-       " */\n",
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n=t(\"./compile.js\");e.exports=function(t){var e=[\"'use strict'\",\"var CACHED={}\"],r=[],a=t.funcName+\"_cwise_thunk\";e.push([\"return function \",a,\"(\",t.shimArgs.join(\",\"),\"){\"].join(\"\"));for(var i=[],o=[],s=[[\"array\",t.arrayArgs[0],\".shape.slice(\",Math.max(0,t.arrayBlockIndices[0]),t.arrayBlockIndices[0]<0?\",\"+t.arrayBlockIndices[0]+\")\":\")\"].join(\"\")],l=[],c=[],u=0;u<t.arrayArgs.length;++u){var 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2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var 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3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var At=function t(e){function r(t){return e?new Mt(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function 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h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],257:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function 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Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],263:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return 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this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
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-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ei.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=this.symbolInstances.get(n[r]);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function a(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,a.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(a,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=this._layers[n[r]];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Xe=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ir=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,a,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*a)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var a=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(a)},{originalEvent:t})}}):i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(i)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,a=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},va.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},va.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ya.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wa))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new va({customAttribution:e.customAttribution})),this.addControl(new ya,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):i!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ea.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ca.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var f=h[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pa[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ra=0,Fa=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fa)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ra--,Fa=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qa.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qa.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
-       "/*\n",
-       "object-assign\n",
-       "(c) Sindre Sorhus\n",
-       "@license MIT\n",
-       "*/\n",
-       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use 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Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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{\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"datetime\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"ac_power\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('cd2c712e-aaa1-47e6-a9e4-d3ef5031cdca');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
+      }
      },
      "metadata": {},
      "output_type": "display_data"
@@ -93185,7 +93061,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93225,7 +93101,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93237,7 +93113,7 @@
    "source": [
     "# Calculate the degradation rate using the YoY method\n",
     "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
@@ -93315,11 +93191,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning:\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n",
       "\n",
       "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
       "\n"
@@ -93381,7 +93263,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93389,7 +93271,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93412,7 +93294,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93420,7 +93302,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93580,7 +93462,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93588,7 +93470,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -94048,7 +93930,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -94064,7 +93946,7 @@
     "    confidence_level=68.2\n",
     ")\n",
     "\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
@@ -94107,7 +93989,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -94140,7 +94022,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

From 236014f8536dc9e9001f398ae0566075858ecd03 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 17 Apr 2024 17:11:51 -0400
Subject: [PATCH 12/27] update configparser deprecated arguments python 3.12

---
 versioneer.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/versioneer.py b/versioneer.py
index 64fea1c8..3aa5da37 100644
--- a/versioneer.py
+++ b/versioneer.py
@@ -339,9 +339,9 @@ def get_config_from_root(root):
     # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
     # the top of versioneer.py for instructions on writing your setup.cfg .
     setup_cfg = os.path.join(root, "setup.cfg")
-    parser = configparser.SafeConfigParser()
+    parser = configparser.ConfigParser()
     with open(setup_cfg, "r") as f:
-        parser.readfp(f)
+        parser.read_file(f)
     VCS = parser.get("versioneer", "VCS")  # mandatory
 
     def get(parser, name):

From d5c8cf5a22bb08d60976e0126180d537cafec9e1 Mon Sep 17 00:00:00 2001
From: Michael Deceglie <Michael.Deceglie@nrel.gov>
Date: Thu, 18 Apr 2024 15:22:46 -0600
Subject: [PATCH 13/27] Use csi clearsky filter in a number of tests

---
 rdtools/test/analysis_chains_test.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py
index cb635754..b6a8b23a 100644
--- a/rdtools/test/analysis_chains_test.py
+++ b/rdtools/test/analysis_chains_test.py
@@ -248,6 +248,7 @@ def test_filter_ad_hoc_warnings(workflow, sensor_parameters):
             rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
             components = rd_analysis.sensor_filter_components
         else:
+            rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
             rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
             components = rd_analysis.clearsky_filter_components
 
@@ -345,6 +346,7 @@ def clearsky_parameters(basic_parameters, sensor_parameters,
     # functions to generate the data.
     rd_analysis = TrendAnalysis(**sensor_parameters)
     rd_analysis.set_clearsky(**cs_input)
+    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     rd_analysis._clearsky_preprocess()
     poa = rd_analysis.poa_global_clearsky
     clearsky_parameters = basic_parameters
@@ -357,6 +359,7 @@ def clearsky_parameters(basic_parameters, sensor_parameters,
 def clearsky_analysis(cs_input, clearsky_parameters):
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**cs_input)
+    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
     return rd_analysis
 
@@ -404,6 +407,7 @@ def clearsky_analysis_exp_power(clearsky_parameters, clearsky_optional):
     clearsky_parameters['power_expected'] = power_expected
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**clearsky_optional)
+    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
     return rd_analysis
 
@@ -483,6 +487,7 @@ def soiling_analysis_clearsky(soiling_parameters, cs_input):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     soiling_analysis.set_clearsky(**cs_input)
     np.random.seed(1977)
+    soiling_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     with pytest.warns(UserWarning, match='20% or more of the daily data'):
         soiling_analysis.clearsky_analysis(analyses=['srr_soiling'],
                                            srr_kwargs={'reps': 10})
@@ -548,13 +553,10 @@ def test_errors(sensor_parameters, clearsky_analysis):
         rdtemp._sensor_preprocess()
 
     # clearsky analysis with no tilt/azm
-    clearsky_analysis.pv_tilt = None
-    clearsky_analysis.poa_global_clearsky = None
     with pytest.raises(ValueError, match='pv_tilt and pv_azimuth must be provided'):
         clearsky_analysis._clearsky_preprocess()
 
     # clearsky analysis with no pvlib.loc
-    clearsky_analysis.pvlib_location = None
     with pytest.raises(ValueError, match='pvlib location must be provided'):
         clearsky_analysis._clearsky_preprocess()
 

From c7f34eceda6337dbb6faf2623898555f3dbe8c9d Mon Sep 17 00:00:00 2001
From: Michael Deceglie <Michael.Deceglie@nrel.gov>
Date: Thu, 18 Apr 2024 15:23:48 -0600
Subject: [PATCH 14/27] Adjust how attributes are removed for error testing

---
 rdtools/test/analysis_chains_test.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py
index b6a8b23a..c44acac1 100644
--- a/rdtools/test/analysis_chains_test.py
+++ b/rdtools/test/analysis_chains_test.py
@@ -553,10 +553,13 @@ def test_errors(sensor_parameters, clearsky_analysis):
         rdtemp._sensor_preprocess()
 
     # clearsky analysis with no tilt/azm
+    del clearsky_analysis.pv_tilt
+    clearsky_analysis.poa_global_clearsky = None # just needs to exist to test these errors
     with pytest.raises(ValueError, match='pv_tilt and pv_azimuth must be provided'):
         clearsky_analysis._clearsky_preprocess()
 
     # clearsky analysis with no pvlib.loc
+    del clearsky_analysis.pvlib_location
     with pytest.raises(ValueError, match='pvlib location must be provided'):
         clearsky_analysis._clearsky_preprocess()
 

From 1643bed61bce4e992194a100b067c52c0e4881d3 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 24 Apr 2024 13:57:49 -0400
Subject: [PATCH 15/27] fix linting in analysis_chains_test

---
 rdtools/test/analysis_chains_test.py | 519 +++++++++++++++------------
 1 file changed, 287 insertions(+), 232 deletions(-)

diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py
index c44acac1..5eb6592a 100644
--- a/rdtools/test/analysis_chains_test.py
+++ b/rdtools/test/analysis_chains_test.py
@@ -12,8 +12,7 @@ def basic_parameters():
     # basic parameters (no time series data) for the TrendAnalysis class
 
     parameters = dict(
-        gamma_pdc=-0.005,
-        temperature_model={'a': -3.47, 'b': -0.0594, 'deltaT': 3}
+        gamma_pdc=-0.005, temperature_model={"a": -3.47, "b": -0.0594, "deltaT": 3}
     )
 
     return parameters
@@ -22,13 +21,12 @@ def basic_parameters():
 @pytest.fixture
 def cs_input():
     # basic parameters (no time series data) for the TrendAnalysis class
-    loc = pvlib.location.Location(-23.762028, 133.874886,
-                                  tz='Australia/North')
+    loc = pvlib.location.Location(-23.762028, 133.874886, tz="Australia/North")
     cs_input = dict(
         pvlib_location=loc,
         pv_tilt=20,
         pv_azimuth=0,
-        solar_position_method='ephemeris',  # just to improve test execution speed
+        solar_position_method="ephemeris",  # just to improve test execution speed
     )
 
     return cs_input
@@ -43,9 +41,9 @@ def degradation_trend(basic_parameters, cs_input):
     from degradation_test import DegradationTestCase
 
     rd = -0.05
-    input_freq = 'H'
+    input_freq = "H"
     degradation_trend = DegradationTestCase.get_corr_energy(rd, input_freq)
-    tz = cs_input['pvlib_location'].tz
+    tz = cs_input["pvlib_location"].tz
     return degradation_trend.tz_localize(tz)
 
 
@@ -55,104 +53,117 @@ def sensor_parameters(basic_parameters, degradation_trend):
     power = degradation_trend
     poa_global = power * 1000
     temperature_ambient = power * 0 + 25
-    basic_parameters['pv'] = power
-    basic_parameters['poa_global'] = poa_global
-    basic_parameters['temperature_ambient'] = temperature_ambient
-    basic_parameters['interp_freq'] = 'H'
+    basic_parameters["pv"] = power
+    basic_parameters["poa_global"] = poa_global
+    basic_parameters["temperature_ambient"] = temperature_ambient
+    basic_parameters["interp_freq"] = "H"
     return basic_parameters
 
 
 @pytest.fixture
 def sensor_analysis(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
 @pytest.fixture
 def sensor_analysis_exp_power(sensor_parameters):
-    power_expected = normalization.pvwatts_dc_power(sensor_parameters['poa_global'],
-                                                    power_dc_rated=1)
-    sensor_parameters['power_expected'] = power_expected
+    power_expected = normalization.pvwatts_dc_power(
+        sensor_parameters["poa_global"], power_dc_rated=1
+    )
+    sensor_parameters["power_expected"] = power_expected
     rd_analysis = TrendAnalysis(**sensor_parameters)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
 def test_interpolation(basic_parameters, degradation_trend):
 
     power = degradation_trend
-    shifted_index = power.index + pd.to_timedelta('8 minutes')
+    shifted_index = power.index + pd.to_timedelta("8 minutes")
 
     dummy_series = power * 0 + 25
     dummy_series.index = shifted_index
 
-    basic_parameters['pv'] = power
-    basic_parameters['poa_global'] = dummy_series
-    basic_parameters['temperature_ambient'] = dummy_series
-    basic_parameters['temperature_cell'] = dummy_series
-    basic_parameters['windspeed'] = dummy_series
-    basic_parameters['power_expected'] = dummy_series
-    basic_parameters['interp_freq'] = 'H'
+    basic_parameters["pv"] = power
+    basic_parameters["poa_global"] = dummy_series
+    basic_parameters["temperature_ambient"] = dummy_series
+    basic_parameters["temperature_cell"] = dummy_series
+    basic_parameters["windspeed"] = dummy_series
+    basic_parameters["power_expected"] = dummy_series
+    basic_parameters["interp_freq"] = "H"
 
     rd_analysis = TrendAnalysis(**basic_parameters)
 
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.poa_global.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_ambient.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_cell.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.windspeed.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.power_expected.index[1:])
-
-    rd_analysis.set_clearsky(pv_azimuth=dummy_series,
-                             pv_tilt=dummy_series,
-                             poa_global_clearsky=dummy_series,
-                             temperature_cell_clearsky=dummy_series,
-                             temperature_ambient_clearsky=dummy_series)
-
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.pv_azimuth.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.pv_tilt.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.poa_global_clearsky.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_cell_clearsky.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_ambient_clearsky.index)
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.poa_global.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_ambient.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_cell.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.windspeed.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.power_expected.index[1:]
+    )
+
+    rd_analysis.set_clearsky(
+        pv_azimuth=dummy_series,
+        pv_tilt=dummy_series,
+        poa_global_clearsky=dummy_series,
+        temperature_cell_clearsky=dummy_series,
+        temperature_ambient_clearsky=dummy_series,
+    )
+
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.pv_azimuth.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.pv_tilt.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.poa_global_clearsky.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_cell_clearsky.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_ambient_clearsky.index
+    )
 
 
 def test_sensor_analysis(sensor_analysis):
-    yoy_results = sensor_analysis.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    yoy_results = sensor_analysis.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -1 == pytest.approx(rd, abs=1e-2)
     assert [-1, -1] == pytest.approx(ci, abs=1e-2)
 
 
 def test_sensor_analysis_energy(sensor_parameters, sensor_analysis):
-    sensor_parameters['pv'] = sensor_analysis.pv_energy
-    sensor_parameters['pv_input'] = 'energy'
+    sensor_parameters["pv"] = sensor_analysis.pv_energy
+    sensor_parameters["pv_input"] = "energy"
     sensor_analysis2 = TrendAnalysis(**sensor_parameters)
     sensor_analysis2.pv_power = sensor_analysis.pv_power
-    sensor_analysis2.sensor_analysis(analyses=['yoy_degradation'])
-    yoy_results = sensor_analysis2.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    sensor_analysis2.sensor_analysis(analyses=["yoy_degradation"])
+    yoy_results = sensor_analysis2.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -1 == pytest.approx(rd, abs=1e-2)
     assert [-1, -1] == pytest.approx(ci, abs=1e-2)
 
 
 def test_sensor_analysis_exp_power(sensor_analysis_exp_power):
-    yoy_results = sensor_analysis_exp_power.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    yoy_results = sensor_analysis_exp_power.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert 0 == pytest.approx(rd, abs=1e-2)
     assert [0, 0] == pytest.approx(ci, abs=1e-2)
@@ -160,10 +171,10 @@ def test_sensor_analysis_exp_power(sensor_analysis_exp_power):
 
 def test_sensor_analysis_power_dc_rated(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
-    yoy_results = rd_analysis.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    yoy_results = rd_analysis.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -1 == pytest.approx(rd, abs=1e-2)
     assert [-1, -1] == pytest.approx(ci, abs=1e-2)
@@ -171,53 +182,55 @@ def test_sensor_analysis_power_dc_rated(sensor_parameters):
 
 def test_sensor_analysis_ad_hoc_filter(sensor_parameters):
     # by excluding all but a few points, we should trigger the <2yr error
-    filt = pd.Series(False, index=sensor_parameters['pv'].index)
+    filt = pd.Series(False, index=sensor_parameters["pv"].index)
     filt.iloc[-100:] = True
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.filter_params['ad_hoc_filter'] = filt
-    with pytest.raises(ValueError, match="Less than two years of data left after filtering"):
-        rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["ad_hoc_filter"] = filt
+    with pytest.raises(
+        ValueError, match="Less than two years of data left after filtering"
+    ):
+        rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
 
 
 def test_sensor_analysis_aggregated_ad_hoc_filter(sensor_parameters):
     # by excluding all but a few points, we should trigger the <2yr error
-    filt = pd.Series(False,
-                     index=sensor_parameters['pv'].index)
-    filt = filt.resample('1D').first().dropna(how='all')
+    filt = pd.Series(False, index=sensor_parameters["pv"].index)
+    filt = filt.resample("1D").first().dropna(how="all")
     filt.iloc[-500:] = True
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.filter_params_aggregated['ad_hoc_filter'] = filt
-    with pytest.raises(ValueError, match="Less than two years of data left after filtering"):
-        rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params_aggregated["ad_hoc_filter"] = filt
+    with pytest.raises(
+        ValueError, match="Less than two years of data left after filtering"
+    ):
+        rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
 
 
 def test_filter_components(sensor_parameters):
-    poa = sensor_parameters['poa_global']
+    poa = sensor_parameters["poa_global"]
     poa_filter = (poa > 200) & (poa < 1200)
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
-    assert (poa_filter ==
-            rd_analysis.sensor_filter_components['poa_filter']).all()
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    assert (poa_filter == rd_analysis.sensor_filter_components["poa_filter"]).all()
 
 
 def test_aggregated_filter_components(sensor_parameters):
-    daily_ad_hoc_filter = pd.Series(True,
-                                    index=sensor_parameters['pv'].index)
+    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index)
     daily_ad_hoc_filter[:600] = False
-    daily_ad_hoc_filter = daily_ad_hoc_filter.resample(
-        '1D').first().dropna(how='all')
+    daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all")
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
     rd_analysis.filter_params = {}  # disable all index-based filters
-    rd_analysis.filter_params_aggregated['ad_hoc_filter'] = daily_ad_hoc_filter
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
-    assert (daily_ad_hoc_filter ==
-            rd_analysis.sensor_filter_components_aggregated['ad_hoc_filter']).all()
+    rd_analysis.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    assert (
+        daily_ad_hoc_filter
+        == rd_analysis.sensor_filter_components_aggregated["ad_hoc_filter"]
+    ).all()
 
 
 def test_filter_components_no_filters(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
     rd_analysis.filter_params = {}  # disable all filters
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     expected = pd.Series(True, index=rd_analysis.pv_energy.index)
     pd.testing.assert_series_equal(rd_analysis.sensor_filter, expected)
     assert rd_analysis.sensor_filter_components.empty
@@ -227,110 +240,117 @@ def test_aggregated_filter_components_no_filters(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
     rd_analysis.filter_params = {}  # disable all index-based filters
     rd_analysis.filter_params_aggregated = {}  # disable all daily filters
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     expected = pd.Series(True, index=rd_analysis.pv_energy.index)
-    daily_expected = expected.resample('1D').first().dropna(how='all')
-    pd.testing.assert_series_equal(rd_analysis.sensor_filter_aggregated,
-                                   daily_expected)
+    daily_expected = expected.resample("1D").first().dropna(how="all")
+    pd.testing.assert_series_equal(rd_analysis.sensor_filter_aggregated, daily_expected)
     assert rd_analysis.sensor_filter_components.empty
 
 
-@pytest.mark.parametrize('workflow', ['sensor', 'clearsky'])
+@pytest.mark.parametrize("workflow", ["sensor", "clearsky"])
 def test_filter_ad_hoc_warnings(workflow, sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.set_clearsky(pvlib_location=pvlib.location.Location(40, -80),
-                             poa_global_clearsky=rd_analysis.poa_global)
+    rd_analysis.set_clearsky(
+        pvlib_location=pvlib.location.Location(40, -80),
+        poa_global_clearsky=rd_analysis.poa_global,
+    )
     # warning for incomplete index
-    ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index[:-5])
-    rd_analysis.filter_params['ad_hoc_filter'] = ad_hoc_filter
-    with pytest.warns(UserWarning, match='ad_hoc_filter index does not match index'):
-        if workflow == 'sensor':
-            rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index[:-5])
+    rd_analysis.filter_params["ad_hoc_filter"] = ad_hoc_filter
+    with pytest.warns(UserWarning, match="ad_hoc_filter index does not match index"):
+        if workflow == "sensor":
+            rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.sensor_filter_components
         else:
-            rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
-            rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+            rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+            rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.clearsky_filter_components
 
     # missing values set to True
-    assert components['ad_hoc_filter'].all()
+    assert components["ad_hoc_filter"].all()
 
     # warning about NaNs
-    ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index)
+    ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index)
     ad_hoc_filter.iloc[10] = np.nan
-    rd_analysis.filter_params['ad_hoc_filter'] = ad_hoc_filter
-    with pytest.warns(UserWarning, match='ad_hoc_filter contains NaN values; setting to False'):
-        if workflow == 'sensor':
-            rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["ad_hoc_filter"] = ad_hoc_filter
+    with pytest.warns(
+        UserWarning, match="ad_hoc_filter contains NaN values; setting to False"
+    ):
+        if workflow == "sensor":
+            rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.sensor_filter_components
         else:
-            rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+            rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.clearsky_filter_components
 
     # NaN values set to False
-    assert not components['ad_hoc_filter'].iloc[10]
-    assert components.drop(components.index[10])['ad_hoc_filter'].all()
+    assert not components["ad_hoc_filter"].iloc[10]
+    assert components.drop(components.index[10])["ad_hoc_filter"].all()
 
 
-@pytest.mark.parametrize('workflow', ['sensor', 'clearsky'])
+@pytest.mark.parametrize("workflow", ["sensor", "clearsky"])
 def test_aggregated_filter_ad_hoc_warnings(workflow, sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.set_clearsky(pvlib_location=pvlib.location.Location(40, -80),
-                             poa_global_clearsky=rd_analysis.poa_global)
+    rd_analysis.set_clearsky(
+        pvlib_location=pvlib.location.Location(40, -80),
+        poa_global_clearsky=rd_analysis.poa_global,
+    )
     # disable all filters outside of CSI
-    rd_analysis.filter_params = {"clearsky_filter": {'model': 'csi'}}
+    rd_analysis.filter_params = {"clearsky_filter": {"model": "csi"}}
     # warning for incomplete index
-    daily_ad_hoc_filter = pd.Series(True,
-                                    index=sensor_parameters['pv'].index[:-5])
-    daily_ad_hoc_filter = daily_ad_hoc_filter.resample(
-        '1D').first().dropna(how='all')
-    rd_analysis.filter_params_aggregated['ad_hoc_filter'] = daily_ad_hoc_filter
-    with pytest.warns(UserWarning, match='ad_hoc_filter index does not match index'):
-        if workflow == 'sensor':
-            rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index[:-5])
+    daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all")
+    rd_analysis.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter
+    with pytest.warns(UserWarning, match="ad_hoc_filter index does not match index"):
+        if workflow == "sensor":
+            rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.sensor_filter_components_aggregated
         else:
-            rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+            rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.clearsky_filter_components_aggregated
 
     # missing values set to True
-    assert components['ad_hoc_filter'].all()
+    assert components["ad_hoc_filter"].all()
 
     # warning about NaNs
     rd_analysis_2 = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis_2.set_clearsky(pvlib_location=pvlib.location.Location(40, -80),
-                               poa_global_clearsky=rd_analysis_2.poa_global)
+    rd_analysis_2.set_clearsky(
+        pvlib_location=pvlib.location.Location(40, -80),
+        poa_global_clearsky=rd_analysis_2.poa_global,
+    )
     # disable all filters outside of CSI
-    rd_analysis_2.filter_params = {"clearsky_filter": {'model': 'csi'}}
-    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index)
-    daily_ad_hoc_filter = daily_ad_hoc_filter.resample(
-        '1D').first().dropna(how='all')
+    rd_analysis_2.filter_params = {"clearsky_filter": {"model": "csi"}}
+    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index)
+    daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all")
     daily_ad_hoc_filter.iloc[10] = np.nan
-    rd_analysis_2.filter_params_aggregated['ad_hoc_filter'] = daily_ad_hoc_filter
-    with pytest.warns(UserWarning, match='ad_hoc_filter contains NaN values; setting to False'):
-        if workflow == 'sensor':
-            rd_analysis_2.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis_2.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter
+    with pytest.warns(
+        UserWarning, match="ad_hoc_filter contains NaN values; setting to False"
+    ):
+        if workflow == "sensor":
+            rd_analysis_2.sensor_analysis(analyses=["yoy_degradation"])
             components = rd_analysis_2.sensor_filter_components_aggregated
         else:
-            rd_analysis_2.clearsky_analysis(analyses=['yoy_degradation'])
+            rd_analysis_2.clearsky_analysis(analyses=["yoy_degradation"])
             components = rd_analysis_2.clearsky_filter_components_aggregated
 
     # NaN values set to False
-    assert not components['ad_hoc_filter'].iloc[10]
-    assert components.drop(components.index[10])['ad_hoc_filter'].all()
+    assert not components["ad_hoc_filter"].iloc[10]
+    assert components.drop(components.index[10])["ad_hoc_filter"].all()
 
 
 def test_cell_temperature_model_invalid(sensor_parameters):
-    wind = pd.Series(0, index=sensor_parameters['pv'].index)
-    sensor_parameters.pop('temperature_model')
-    rd_analysis = TrendAnalysis(**sensor_parameters, windspeed=wind,
-                                temperature_model={'bad': True})
-    with pytest.raises(ValueError, match='pvlib temperature_model entry is neither'):
+    wind = pd.Series(0, index=sensor_parameters["pv"].index)
+    sensor_parameters.pop("temperature_model")
+    rd_analysis = TrendAnalysis(
+        **sensor_parameters, windspeed=wind, temperature_model={"bad": True}
+    )
+    with pytest.raises(ValueError, match="pvlib temperature_model entry is neither"):
         rd_analysis.sensor_analysis()
 
 
 def test_no_gamma_pdc(sensor_parameters):
-    sensor_parameters.pop('gamma_pdc')
+    sensor_parameters.pop("gamma_pdc")
     rd_analysis = TrendAnalysis(**sensor_parameters)
 
     with pytest.warns(UserWarning) as record:
@@ -340,18 +360,19 @@ def test_no_gamma_pdc(sensor_parameters):
 
 
 @pytest.fixture
-def clearsky_parameters(basic_parameters, sensor_parameters,
-                        cs_input, degradation_trend):
+def clearsky_parameters(
+    basic_parameters, sensor_parameters, cs_input, degradation_trend
+):
     # clear-sky weather data.  Uses TrendAnalysis's internal clear-sky
     # functions to generate the data.
     rd_analysis = TrendAnalysis(**sensor_parameters)
     rd_analysis.set_clearsky(**cs_input)
-    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
     rd_analysis._clearsky_preprocess()
     poa = rd_analysis.poa_global_clearsky
     clearsky_parameters = basic_parameters
-    clearsky_parameters['poa_global'] = poa
-    clearsky_parameters['pv'] = poa * degradation_trend
+    clearsky_parameters["poa_global"] = poa
+    clearsky_parameters["pv"] = poa * degradation_trend
     return clearsky_parameters
 
 
@@ -359,8 +380,8 @@ def clearsky_parameters(basic_parameters, sensor_parameters,
 def clearsky_analysis(cs_input, clearsky_parameters):
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**cs_input)
-    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
-    rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
@@ -372,50 +393,53 @@ def clearsky_optional(cs_input, clearsky_analysis):
         poa_global_clearsky=clearsky_analysis.poa_global_clearsky,
         temperature_cell_clearsky=clearsky_analysis.temperature_cell_clearsky,
         temperature_ambient_clearsky=clearsky_analysis.temperature_ambient_clearsky,
-        pv_tilt=pd.Series(cs_input['pv_tilt'], index=times),
-        pv_azimuth=pd.Series(cs_input['pv_azimuth'], index=times),
-        solar_position_method='ephemeris',  # just to improve test execution speed
+        pv_tilt=pd.Series(cs_input["pv_tilt"], index=times),
+        pv_azimuth=pd.Series(cs_input["pv_azimuth"], index=times),
+        solar_position_method="ephemeris",  # just to improve test execution speed
     )
     return extras
 
 
 def test_clearsky_analysis(clearsky_analysis):
-    yoy_results = clearsky_analysis.results['clearsky']['yoy_degradation']
-    ci = yoy_results['rd_confidence_interval']
-    rd = yoy_results['p50_rd']
+    yoy_results = clearsky_analysis.results["clearsky"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
     print(ci)
     assert -4.70 == pytest.approx(rd, abs=1e-2)
     assert [-4.71, -4.69] == pytest.approx(ci, abs=1e-2)
 
 
-def test_clearsky_analysis_optional(clearsky_analysis, clearsky_parameters, clearsky_optional):
+def test_clearsky_analysis_optional(
+    clearsky_analysis, clearsky_parameters, clearsky_optional
+):
 
     clearsky_analysis.set_clearsky(**clearsky_optional)
     clearsky_analysis.clearsky_analysis()
-    yoy_results = clearsky_analysis.results['clearsky']['yoy_degradation']
-    ci = yoy_results['rd_confidence_interval']
-    rd = yoy_results['p50_rd']
-    print(f'ci:{ci}')
+    yoy_results = clearsky_analysis.results["clearsky"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
+    print(f"ci:{ci}")
     assert -4.70 == pytest.approx(rd, abs=1e-2)
     assert [-4.71, -4.69] == pytest.approx(ci, abs=1e-2)
 
 
 @pytest.fixture
 def clearsky_analysis_exp_power(clearsky_parameters, clearsky_optional):
-    power_expected = normalization.pvwatts_dc_power(clearsky_parameters['poa_global'],
-                                                    power_dc_rated=1)
-    clearsky_parameters['power_expected'] = power_expected
+    power_expected = normalization.pvwatts_dc_power(
+        clearsky_parameters["poa_global"], power_dc_rated=1
+    )
+    clearsky_parameters["power_expected"] = power_expected
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**clearsky_optional)
-    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
-    rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
 def test_clearsky_analysis_exp_power(clearsky_analysis_exp_power):
-    yoy_results = clearsky_analysis_exp_power.results['clearsky']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    yoy_results = clearsky_analysis_exp_power.results["clearsky"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -5.128 == pytest.approx(rd, abs=1e-2)
     assert [-5.128, -5.127] == pytest.approx(ci, abs=1e-2)
@@ -423,36 +447,52 @@ def test_clearsky_analysis_exp_power(clearsky_analysis_exp_power):
 
 def test_no_set_clearsky(clearsky_parameters):
     rd_analysis = TrendAnalysis(**clearsky_parameters)
-    with pytest.raises(AttributeError, match="No poa_global_clearsky. 'set_clearsky' must be run"):
+    with pytest.raises(
+        AttributeError, match="No poa_global_clearsky. 'set_clearsky' must be run"
+    ):
         rd_analysis.clearsky_analysis()
 
 
 def test_solar_position_method_passthrough(sensor_analysis, mocker):
     # verify that the solar_position_method kwarg is passed through to pvlib correctly
-    spy = mocker.spy(pvlib.solarposition, 'get_solarposition')
-    for method in ['nrel_numpy', 'ephemeris']:
-        sensor_analysis.set_clearsky(pvlib.location.Location(40, -80), pv_tilt=20, pv_azimuth=180,
-                                     solar_position_method=method)
+    spy = mocker.spy(pvlib.solarposition, "get_solarposition")
+    for method in ["nrel_numpy", "ephemeris"]:
+        sensor_analysis.set_clearsky(
+            pvlib.location.Location(40, -80),
+            pv_tilt=20,
+            pv_azimuth=180,
+            solar_position_method=method,
+        )
         sensor_analysis._calc_clearsky_poa()
-        assert spy.call_args[1]['method'] == method
+        assert spy.call_args[1]["method"] == method
 
 
 def test_index_mismatch():
     # GH #277
-    times = pd.date_range('2019-01-01', '2022-01-01', freq='15min')
+    times = pd.date_range("2019-01-01", "2022-01-01", freq="15min")
     pv = pd.Series(1.0, index=times)
     # low-frequency weather inputs
     dummy_series = pd.Series(1.0, index=times[::4])
-    keys = ['poa_global', 'temperature_cell',
-            'temperature_ambient', 'power_expected', 'windspeed']
+    keys = [
+        "poa_global",
+        "temperature_cell",
+        "temperature_ambient",
+        "power_expected",
+        "windspeed",
+    ]
     kwargs = {key: dummy_series.copy() for key in keys}
     rd_analysis = TrendAnalysis(pv, **kwargs)
     for key in keys:
         interpolated_series = getattr(rd_analysis, key)
         assert interpolated_series.index.equals(times)
 
-    cs_keys = ['poa_global_clearsky', 'temperature_cell_clearsky', 'temperature_ambient_clearsky',
-               'pv_azimuth', 'pv_tilt']
+    cs_keys = [
+        "poa_global_clearsky",
+        "temperature_cell_clearsky",
+        "temperature_ambient_clearsky",
+        "pv_azimuth",
+        "pv_tilt",
+    ]
     cs_kwargs = {key: dummy_series.copy() for key in cs_keys}
     rd_analysis.set_clearsky(**cs_kwargs)
     for key in cs_keys:
@@ -463,13 +503,13 @@ def test_index_mismatch():
 @pytest.fixture
 def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input):
     # parameters for soiling analysis with TrendAnalysis
-    power = soiling_normalized_daily.resample('1h').interpolate()
+    power = soiling_normalized_daily.resample("1h").interpolate()
     return dict(
         pv=power,
         poa_global=power * 0 + 1000,
         temperature_cell=power * 0 + 25,
         gamma_pdc=0,
-        interp_freq='D',
+        interp_freq="D",
     )
 
 
@@ -477,8 +517,7 @@ def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input):
 def soiling_analysis_sensor(soiling_parameters):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     np.random.seed(1977)
-    soiling_analysis.sensor_analysis(analyses=['srr_soiling'],
-                                     srr_kwargs={'reps': 10})
+    soiling_analysis.sensor_analysis(analyses=["srr_soiling"], srr_kwargs={"reps": 10})
     return soiling_analysis
 
 
@@ -487,96 +526,112 @@ def soiling_analysis_clearsky(soiling_parameters, cs_input):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     soiling_analysis.set_clearsky(**cs_input)
     np.random.seed(1977)
-    soiling_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
-    with pytest.warns(UserWarning, match='20% or more of the daily data'):
-        soiling_analysis.clearsky_analysis(analyses=['srr_soiling'],
-                                           srr_kwargs={'reps': 10})
+    soiling_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    with pytest.warns(UserWarning, match="20% or more of the daily data"):
+        soiling_analysis.clearsky_analysis(
+            analyses=["srr_soiling"], srr_kwargs={"reps": 10}
+        )
     return soiling_analysis
 
 
 def test_srr_soiling(soiling_analysis_sensor):
-    srr_results = soiling_analysis_sensor.results['sensor']['srr_soiling']
-    sratio = srr_results['p50_sratio']
-    ci = srr_results['sratio_confidence_interval']
-    renorm_factor = srr_results['calc_info']['renormalizing_factor']
-    print(f'soiling ci:{ci}')
-    assert 0.965 == pytest.approx(sratio, abs=1e-3), \
-        'Soiling ratio different from expected value in TrendAnalysis.srr_soiling'
-    assert [0.96, 0.97] == pytest.approx(ci, abs=1e-2), \
-        'Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling'
-    assert 0.974 == pytest.approx(renorm_factor, abs=1e-3), \
-        'Renormalization factor different from expected value in TrendAnalysis.srr_soiling'
+    srr_results = soiling_analysis_sensor.results["sensor"]["srr_soiling"]
+    sratio = srr_results["p50_sratio"]
+    ci = srr_results["sratio_confidence_interval"]
+    renorm_factor = srr_results["calc_info"]["renormalizing_factor"]
+    print(f"soiling ci:{ci}")
+    assert 0.965 == pytest.approx(
+        sratio, abs=1e-3
+    ), "Soiling ratio different from expected value in TrendAnalysis.srr_soiling"
+    assert [0.96, 0.97] == pytest.approx(
+        ci, abs=1e-2
+    ), "Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling"
+    assert 0.974 == pytest.approx(
+        renorm_factor, abs=1e-3
+    ), "Renormalization factor different from expected value in TrendAnalysis.srr_soiling"
 
 
 def test_plot_degradation(sensor_analysis):
-    assert_isinstance(
-        sensor_analysis.plot_degradation_summary('sensor'), plt.Figure)
-    assert_isinstance(
-        sensor_analysis.plot_pv_vs_irradiance('sensor'), plt.Figure)
+    assert_isinstance(sensor_analysis.plot_degradation_summary("sensor"), plt.Figure)
+    assert_isinstance(sensor_analysis.plot_pv_vs_irradiance("sensor"), plt.Figure)
 
 
 def test_plot_cs(clearsky_analysis):
     assert_isinstance(
-        clearsky_analysis.plot_degradation_summary('clearsky'), plt.Figure)
-    assert_isinstance(
-        clearsky_analysis.plot_pv_vs_irradiance('clearsky'), plt.Figure)
+        clearsky_analysis.plot_degradation_summary("clearsky"), plt.Figure
+    )
+    assert_isinstance(clearsky_analysis.plot_pv_vs_irradiance("clearsky"), plt.Figure)
 
 
 def test_plot_soiling(soiling_analysis_sensor):
     assert_isinstance(
-        soiling_analysis_sensor.plot_soiling_monte_carlo('sensor'), plt.Figure)
+        soiling_analysis_sensor.plot_soiling_monte_carlo("sensor"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_sensor.plot_soiling_interval('sensor'), plt.Figure)
+        soiling_analysis_sensor.plot_soiling_interval("sensor"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_sensor.plot_soiling_rate_histogram('sensor'), plt.Figure)
+        soiling_analysis_sensor.plot_soiling_rate_histogram("sensor"), plt.Figure
+    )
 
 
 def test_plot_soiling_cs(soiling_analysis_clearsky):
     assert_isinstance(
-        soiling_analysis_clearsky.plot_soiling_monte_carlo('clearsky'), plt.Figure)
+        soiling_analysis_clearsky.plot_soiling_monte_carlo("clearsky"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_clearsky.plot_soiling_interval('clearsky'), plt.Figure)
+        soiling_analysis_clearsky.plot_soiling_interval("clearsky"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_clearsky.plot_soiling_rate_histogram('clearsky'), plt.Figure)
+        soiling_analysis_clearsky.plot_soiling_rate_histogram("clearsky"), plt.Figure
+    )
 
 
 def test_errors(sensor_parameters, clearsky_analysis):
 
-    rdtemp = TrendAnalysis(sensor_parameters['pv'])
-    with pytest.raises(ValueError, match='poa_global must be available'):
+    rdtemp = TrendAnalysis(sensor_parameters["pv"])
+    with pytest.raises(ValueError, match="poa_global must be available"):
         rdtemp._sensor_preprocess()
 
     # no temperature
-    rdtemp = TrendAnalysis(sensor_parameters['pv'],
-                           poa_global=sensor_parameters['poa_global'])
-    with pytest.raises(ValueError, match='either cell or ambient temperature'):
+    rdtemp = TrendAnalysis(
+        sensor_parameters["pv"], poa_global=sensor_parameters["poa_global"]
+    )
+    with pytest.raises(ValueError, match="either cell or ambient temperature"):
         rdtemp._sensor_preprocess()
 
     # clearsky analysis with no tilt/azm
     del clearsky_analysis.pv_tilt
-    clearsky_analysis.poa_global_clearsky = None # just needs to exist to test these errors
-    with pytest.raises(ValueError, match='pv_tilt and pv_azimuth must be provided'):
+    clearsky_analysis.poa_global_clearsky = (
+        None  # just needs to exist to test these errors
+    )
+    with pytest.raises(ValueError, match="pv_tilt and pv_azimuth must be provided"):
         clearsky_analysis._clearsky_preprocess()
 
     # clearsky analysis with no pvlib.loc
     del clearsky_analysis.pvlib_location
-    with pytest.raises(ValueError, match='pvlib location must be provided'):
+    with pytest.raises(ValueError, match="pvlib location must be provided"):
         clearsky_analysis._clearsky_preprocess()
 
 
-@pytest.mark.parametrize('method_name', ['plot_degradation_summary',
-                                         'plot_soiling_monte_carlo',
-                                         'plot_soiling_interval',
-                                         'plot_soiling_rate_histogram',
-                                         'plot_pv_vs_irradiance'])
+@pytest.mark.parametrize(
+    "method_name",
+    [
+        "plot_degradation_summary",
+        "plot_soiling_monte_carlo",
+        "plot_soiling_interval",
+        "plot_soiling_rate_histogram",
+        "plot_pv_vs_irradiance",
+    ],
+)
 def test_plot_errors(method_name, sensor_analysis):
     func = getattr(sensor_analysis, method_name)
     with pytest.raises(ValueError, match="case must be either 'sensor' or 'clearsky'"):
-        func(case='bad')
+        func(case="bad")
 
 
 def test_plot_degradation_timeseries(sensor_analysis, clearsky_analysis):
+    assert_isinstance(sensor_analysis.plot_degradation_timeseries("sensor"), plt.Figure)
     assert_isinstance(
-        sensor_analysis.plot_degradation_timeseries('sensor'), plt.Figure)
-    assert_isinstance(
-        clearsky_analysis.plot_degradation_timeseries('clearsky'), plt.Figure)
+        clearsky_analysis.plot_degradation_timeseries("clearsky"), plt.Figure
+    )

From cfaa00a48ff8d6cf0c64e25e7fcf7426b89f22f8 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 24 Apr 2024 16:10:59 -0400
Subject: [PATCH 16/27] update numexpr to 2.10

---
 docs/notebook_requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/notebook_requirements.txt b/docs/notebook_requirements.txt
index 8afe0f87..78bb9963 100644
--- a/docs/notebook_requirements.txt
+++ b/docs/notebook_requirements.txt
@@ -30,7 +30,7 @@ nbconvert==7.0.0
 nbformat==5.1.0
 nest-asyncio==1.5.5
 notebook==6.4.12
-numexpr==2.8.0
+numexpr==2.10.0
 pandocfilters==1.4.2
 parso==0.5.2
 pexpect==4.6.0

From 7f3eea7852db62aed5d70c81256b90c676a11740 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Wed, 24 Apr 2024 16:31:15 -0400
Subject: [PATCH 17/27] update h5py requirements to 3.11

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 643713e3..885f81a3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,7 +3,7 @@ certifi==2023.7.22
 chardet==4.0.0
 cycler==0.10.0
 fonttools==4.37.1
-h5py==3.6.0
+h5py==3.11.0
 idna==2.10
 joblib==1.2.0
 kiwisolver==1.3.2

From cc8ab470ce86c9d89b6263cacdc0ef8ffa6d1f2c Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Thu, 25 Apr 2024 14:39:01 -0400
Subject: [PATCH 18/27] Revert "re-run notebook"

This reverts commit 751cfaafa2351eb5781bb57dc8c258d0039172f4.
---
 ...radation_and_soiling_example_pvdaq_4.ipynb | 8412 +++++++++--------
 1 file changed, 4265 insertions(+), 4147 deletions(-)

diff --git a/docs/degradation_and_soiling_example_pvdaq_4.ipynb b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
index d7e69201..2c726520 100644
--- a/docs/degradation_and_soiling_example_pvdaq_4.ipynb
+++ b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
@@ -89,7 +89,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -167,7 +167,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -202,7 +202,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -251,7 +251,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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OEuzr6+NlL3sZ559/Pueffz6ed7R9WAjBl770pVUd13EchoeH1zKko2i1Wvi+f1pzL+K5qKR5TWo+GzzJ1IIT2JIGhiHYUXOJMk1htSgoWF/m+84V1WPODtYksH7wgx8ghGD37t1kWcYTTzxx3HtWWhx3vXnxi19Mu93Gtm1e9rKX8ad/+qdcfPHFmzoG3zaxzYQoVUcJLKWPmAfnowN7Sw6WFBiGMVfzrChmWlCwnhRRgmcPaxJYG+G/OlV83+dNb3oTL37xi6lWq9xzzz187GMf4yd+4ie499572bVr17KfjaKIKIoWHjebzVMaS17FQqL00c8lmcJZFIjRjVOaQYJny4UgjKKYaUHB+lH4sM4uzpoaQNdddx3XXXfdwuPXvOY1vOxlL+MFL3gBH/rQh/jUpz617Gc/8pGP8IEPfGBdx5NHCeb/X1yBfV6Dyp/PsE1Juqi6RVHMtKBg/SgsFWcXa76SWZbx+c9/nre97W383M/9HD/84Q8BaDQa3H777SesNbhZPP/5z+fqq6/mm9/85gnfd8MNN9BoNBb+Dh48eMrnni+7tLgv1nyF9ul2RJQqBJpulNCN1YL5sChmWlBQULA0a9Kw6vU6L3/5y7nrrrsol8t0Oh3e+c53AlAul/mt3/otfumXfokPf/jD6zrYtbBr166T5ow5joPjOOt63sUaVTdOqQcx3VhhSgPXMmiHuSnQsQStIGK2cySisKCgoOBMYcu3F3nve9/Lgw8+yD/+4z+yZ88eFhfLmG/UuFXKMe3Zs4fBwcFNP283TplqhwsXsh0pUpVrVYYAaRikmaLRCZlsR3TjpCh8W1BQcMax5duLfPGLX+Sd73wnP/MzP7NkNOAll1yyoYEZo6OjPPLIIyRJsvDc5OTkce/76le/yj333MPLX/7yDRvLcjSDmHaY0QxiLGlQdo50Pc3/1SSZJkOglaYV5gEYhdAqWA1Flf+C081mthdZk0mw0WgcV01iMUmSkKbpsq+fiE984hPU63VGRkaAvF3JoUOHAHjnO99JrVbjhhtu4JZbbmHv3r0LbUt+4id+gh//8R/nyiuvpFarce+99/LXf/3X7Nq1i/e9731rGsupYEoDkaaYMi9mW/FslBa0ghgQVH0Lz5agNZlyMIUgXtSBuKBgJRRRpQWnm80MbFmTwLrwwgu59957l339n/7pn7jsssvWNKA/+ZM/Waj+DnD77bdz++23A3D99ddTq9WW/NzrX/96/uEf/oF/+qd/otvtsn37dn7t136N97///QwNDa1pLKdCvusQpJliqh0SxBlhnDLdjih7FmDN9cbKO6JOd5KiY0/BqimiSgueSqxJYP3qr/4q73nPe3jRi17ET//0TwN5onAURdx44418/etf56abblrTgFZiSrz55puPK4r7wQ9+kA9+8INrOudG0I0zMqVphikDZYd0Lger5lnouc7DMFd3sJsSJxm2AUlm0ZgzI0IRlltwYor5UfBUYk0C613vehcPPvggv/ALv7BQWPYNb3gD09PTpGnK2972Nn7lV35lPcd5xiHQRImiZAm0Vni2xJQGhnCRhsCzTRpBTKMbM9HokCKRUqA0xHMh7q5lFrvngoKCLc1mRgmuSWAJIfjv//2/88u//MvcdtttPP744yiluPDCC7nuuuvO2j5Zq8GzTZSGTGk0AjnXV6S/7Cw4yFtBQpRqlDTwTYklwDGPaFaL/y0oWIqilNeJObYvXcH6s5n1Gk/pCj7/+c/n+c9//nqN5axivmljnGrCKGGyFeG5FttrLr5tEqWKNFNopRCZIkFRrrlFwEXBqiiCLk5MN07JFMd1/i5YXzarXmNxBTeQfAFRtENIdR7q7kgDynlouzQEU50Yy5a45pFGj8XCU7BSiqCLEzPf2bsQVhvHZtZrXNMZtNZ8+tOf5qqrrmJgYAAp5XF/pvnUniDzO18A3zaQaKIkQ2mN1nkn1FRBxZbEmcYwJI4lF0wYRV5NwUooSnmdGN82GSi7hcDaQDZzDq7pKv7e7/0eH/vYx3j2s5/N9ddfT29v73qP66ygHSaYhiCIM6QpGXRNtFLMduK5Cu0GibI4r5S38LbmtKxoUT5WsRAVFKydwoe18Wz5oItbbrmF173udfzd3/3deo/nrCHJVC6sEoVtmVS0xjJNLCmIEsVMO6K3ZNNfsjAXXeggTkkyTdm1ClNPwVnB6RQahQ9r49lMP+qajh4EAS95yUvWeyxnFa0gZrwZYaDo8S2Ge3yGay6eLYnTDNMwCBOFYx1RpafbMakCSwoc86kV9VWUGDp7WSw0NhvfNpEGhbDaYMJkc67tmlbEn/7pn+b73//+eo/lrGKmEzPTjmiGuWlvPvrPtUx6yw7bai5VzyRKUiYaAXsn20w2Oow3w9M88tNDN05pR+lpWdQKNhZLGsRpdlo2YIUPa+NJMoXeysVvP/nJT3LnnXfy4Q9/mOnp6fUe01lBminCJCOds+9OtUPGGwGznQiBph3mfbDiVDPTjhlpBky0QmyZRxBuVvXjrUTRyvzsxJIGvSXnKWUxeKqxWWXlhF7cG2SFVCoVlFKEYa4NuK6LlPLoAwtBo9FYn1FuMs1mk1qtRqPRoFqtrukYeydb1IOYHs+mr+ywb7JNPUwYrrhYpiRKMqIkRWmYbHU5OBPRX7bY3V9mqOogpaTmWU+ZnWGRAHv2Ulzbs5tTvb6rWW/XtBq+7nWvW7KtSMERhmoeFc/CkgYjMx2emGrjSoO2bWInKZ1EYwhNX8nhiYkMIaATZXi2xDAkprG5v+/pXlSKxezspbi2Zzfz/ufNCG1fk8A6tvBswfHM5yYkmaITK8qOSZxkaK2Z6qb0eBZlx6Ibp7iWINUmQxWHsmNiCI1tyk29yYuKCQUFBWuhESSESUaS6Q23CD017E2ngW6c0olSMqUZKFsIQyDRNLoJiNxHlSrFTDem7NkMVAzKtkU7TOktO5ueDFpUTDhzOd3accFTG0sKkvRIB4qNZM2z+8CBA7z97W/n0ksvpbe3lzvuuAOAqakpfuu3fov77rtv3QZ5JhLEKRPNkDjNKHs2QxUbwxBooREIqq5JJ8xohSndMMG3LRpRwnQnotmNNz3goqiYcOaymS3KId+MTbXDMyKi80wa65lKzbMZqDibUgd1TRrWQw89xE/+5E+ilOLqq6/miSeeWOgwPDAwwL/8y7/Q6XT4q7/6q3Ud7JlCN045MNWmHqYYwsV3LFIliNOMMFXYpkEQZwRxQjpXv+nJ8RaZyugte0RptpCTVAiRgpOx2dpxI0iINskEdKoUicNnF2suzdTT08Odd96JEIJt27Yd9forX/lK/vZv/3ZdBngm0ggS2lFGqiCIM+rtkG6iMAyDmmPSiBSdJCMFSo5kZKaLJQwM02Cw4mBKg+lWhCkNBiqseedSmIqeGmz29RVowkThWis75+meh41uTF+56IKwUWz5Shd33HEHv/7rv87g4OCS0YK7d+/m8OHDpzy4MxVLCgZKNiU7L2jbjjKUVkRRzEgzYrLRYaoZIAR4lknVN4kzRdUW+LZJmmTsm24x2QpPyczTCGImWxGNIF7Hb1fwVMezTfrLNt4KNZbTnRRe8wthtZFY0sAQm9O7b00allIK3/eXfX1ychLHcdY8qDMd3zbxHBNDGjimQWIaBFHKbJDR7CZ0o5SS65ApqHkmSergmiaOlLiWQTsC1zYXzIVrZbIRMN6KGKo4DJTddfp2BU91kiwv4LwareV0JcEU7UU2ns3UnNd0liuuuIJ/+Id/WPK1NE35/Oc/zzXXXHNKAzvTUVrQjVM0gvMGygzVXEq2BAFlz8KRGq00U+2Isi2pehYpir1THWyhMYVBr2+d0kR4YrLNvQdmeWKyvY7frOCpTjNISZWiGaxMY7KkgdikHfixFKWZNp7NrAO6phl0ww038PWvf51f//Vf50c/+hEA4+PjfPOb3+SlL30pDz/8MO9973vXdaBnEpY0UCpjoh0x1QpoBjEaQbXksK1sU/NtFBCkGa0gphFnuWlVgdIw0opwTAMhxCndaBPNkNlOxMRTtD5hwcZgS4hTjS1P/l7Y/CjGY89dFFXeWDbz+q5pNXzFK17BzTffzLve9S5uuukmAK6//nq01lSrVf7mb/6GF7zgBes60DMJSxq4tknVtegkGSP1gLJt0g1jRuohQmh6SxY1zyZNNc1uTGqbOKag7Jq0uymNMCFe5KxeC64pUJnGNYuqJAXrR5JpwiQlyVa+fJyuGVgkxG88mxmluubt+xvf+EZe+9rX8o1vfIPHH38cpRQXXnghL3vZy6hUKus5xjOOJFNEcR4paBmaLFU80WwzVg+ZakdkWcZQJTdT2JbJVDMgVYo0EgzVTMhM9s0EbK96p2R/TxUkSpEWm8uCdWS2E9GOMuxOxPmDJ7/XN7OF+rEUCfEbz2b6sE7JsFsqlXjNa16zTkM5e0gyRZgJ+nyTKFGEStGOYlpBSr0VIQ3FeDNCGOBYFj2+RaObMtGOSdIMyxSUPRvFqeW5dOMMA0E3zlY05tMZeny6z1+wcgR5N+1+f2Vz83Re02I+nV0UV3KDqLe7PHCwgaEVZUtSdm2qvqTiWQjTpNmNGW3E7J9s0QgV482Yw1NtHhmp0w5SVKbYUTs1Z3HFNUHM/XsSTqefYSuc/3Rxqj6W0+GjSTIFWj/lrlXB6acIndkgZoOUNM3YNxNw5XkeQyWHsikpOyaTjQjPFLSivKJFM0gwLYt2kmFbBkoLBisOkRKnZBLs8W3OH6zSs4I8lNNtOjnd5z9dnKqP5bT4aITANCUUHRsKNpmn1uqwSVjSwLMMuolCCE0zyrDNPMeqv2Sza1sZx7UQaII0QWuN0JqhqktfxaPqmSRKkylF8xSSfvt9C8826PetFY35dJaBOt3nP12catLlZiZtztPnW1Qck74VzKvTTREluHq28m9WaFgbQJIpfMdke49Dj2NStg2m2xGhUkzUA/ZOdajakqlmQiuNSFPN04ZdenyLmm+yo8dFIIhShT6F+CrXlgyWXNyVxh8XbDpnoo9FI7BN45Tm5mZRRAmunq38m22t0ZwldOMUlYElJb5n4zsWiVLsn+jw+FiTMExpRhnS0qAFQRQz1Y5JswxTGtSDlJkwQaBPqWR/kkGUJiQnj7koOENpBDFTm1x+a7YTM9YMmO1s/ZJfzSDmyYnWKVkqnmqcDq19pRQa1gaQh6sLDAEoTZqpvMFZqkkSTa1ks7PXxRAGe6a6kKXUOwmNICGIU4Z6faRh0OOdWqULgUYLgeDUSjwVbF2STJNpTZJt4jUWYEt5+pKrVsF0JyHJMqY7CcO10z2aM4OtrPWvSGCdf/75Sxa5PRFCCJ588sk1DepMx5IGlmHQCjKyLKLsWQyUHMZaMZfurDHVjunEiuGKxUsu28ZkK+TgTMR4vUOQKKYbMb4naXZPbT9hSoErTcxNaKxWcHqoeRaWPLWKKKulz7foxuqM8GEF3YBHJ7tcOugDhcQ601nRLH/hC194nMC6++67efDBB7nsssu49NJLAXj00Ud56KGHuPzyy3nOc56z/qM9Q2gEMXumu+yfblFxbQZqDpYw2NHrMtOKiZOMvc2AyVZIpWQzULKY6eYRgpaURGnGzEyMUIrmcHXN7UW0FsRZitZnRrXqIhdr9Uw0uuyfCTi3z+O8weqmnNOxLYaqAucMqM/XTDSOJWkmhZXhbGBFM+7mm28+6vEXv/hFvvjFL/KNb3yDn/7pnz7qtW984xtcd911/NEf/dG6DfJMoxUkzHYi0kyDzitbayVoBinT7ZB6OyBMNd044VsPTVBzJUKadGNFzYcoyQBF91RLVBiCsmOT2ya3NkmmaAQx0sgFVSGwVsZde6Y5NBNwcMrBtU1MaVDz7A3//eI040zwKHhSEMQZXnXr3wObzZm4QVzTKP/gD/6Ad77znccJK4Cf+Zmf4R3veAe///u/f8qDO1NphzFRpBFC01OyMIXAMmG82aUbJaQatvf4oKERhDxweIYHDkxwqN6mFSWYUqJUbnqpems3u/T5FiX3zAk/loZBprZeZNJWZrQR8uRki4OzXcJE04k2PhzZlAZV38Y8A66TFuCYBrqQV8dxJibrr2mL9Pjjj9Pf37/s6/39/U9Z/xVAkCjiTKGVIMs0nmsiEAxWXR4bbWCZAt+R9LoOhzoBSmvakaJWhlY3QTmgtSYTpzaZyp7NdsOg5Gz9nfC8kLLkUy8X61TIlCbRmiRRxGlG5RQDdVbCZvrNkkwx3ujSCDOGqqvv69YIE2aDhIpXpHYcy5mYrL+mkV544YX8j//xP2i3j++z1Gq1+Ou//msuuOCCUx7cmUqvb4OEIE7oRhlBlBDGKeP1kDRTaAzKroXrSvptE9Mw6S9JumFGFCdMNQIa3Zjx2YCZ9trDcdNMEcSK9AzYQW3lZMWtjGkIUArLNOgt2XPC5MxZgE5GkinGmjGznZDxZnTU8yuZL9FcN4QoPXt9WN04ZaodnraOzpvJmrZIH/zgB7n22mt52tOexpve9CYuuugiINe8brnlFsbHx7n11lvXdaBnEr1lB9swsEyRF7ztpIzXuxyYbDPZCegtW+zq9QgTRSfNcE1FNwVDCCINJVOgDUEnSumE0clPuARJljfYi7OMJNv6u8vpdkQrTKm4GX7f1tcI18JyPoNunC6U4Fqp1jJ/rJpvsrPm0+vbp9yheqV045RMsSmdfC1pULYgTAxK1hG73kqTW2faEZOtkP5VdEdeDVvBDzTTDmmFioqb4veVV/y5Y02Cp/t7rIQ1jew1r3kNX/3qVxkcHOTDH/4wb3nLW3jLW97CRz7yEbZt28ZXvvKVNVVxb7fbvP/97+flL385fX19CCGOC/g4EfV6nbe+9a0MDg5SKpV48YtfzL333rvqcZwqQZwRpRkjjYCRVptHD80yVg+Y6nZpd0MOzSZMNnNty5KSVqQJM0UrCIlShetYlGwTxzQx5NoWhNwnJFBKnxG+BjgjYkNOieV8Bnc+OcGtdx3kzicnVn2sWsnBtixKnglaH6V1HKuFrJcW69sm0mBVwvVk551/TyOIF7SF+cdSSiqORMojG6+VJre2uylRmtHuboz2sRX8QEGcUe9GBCvoyrCYxb/hVvgeK2HN26OXvvSlvPSlL2VsbIz9+/cDcO655zI8PLzmwUxNTXHjjTeye/dunvWsZ/Htb397xZ9VSvHKV76SBx54gHe/+90MDAzwyU9+khe96EXcc889XHzxxWse12ppBzEznZhGENONTbqepmpLwiShEYARhjw81uKcqsVUlBDplChMiaOMJMloRwmeNElcjWOsbddsSQPHFODap1QtA9amAayW/rKDZ8uzupV5rvUmxwXS3LV3hgMzXRphxE89fceKjxcmKd0oI1aKZpgw003Y0eMt7JSTTBGluSCoefZpK7lzovPOayjzQTfNIME2Jd04ZbIRcKgeMt0MKHkWSil29ZWAlSe3njvok+n8341gK/iBTGngWvKUNqaLv8dW0BqX45RXh+Hh4VMSUovZvn07o6OjDA8Pc/fdd/Pc5z53xZ+97bbb+O53v8utt97KtddeC8B1113HJZdcwvvf/34+97nPrcsYV0KiNJ4h82LWWlOzTbQ28D0btxuSCtAyZU89AQ0IjbQkxAmz3QTfNDHLBrYURGptwma+67HSp16XaTNMQBspDLcKzSChFeY7/cW5dYenWjw82kaqlV+reSEwUu+yZ6JBELmoNCVMMhzzSGpAN05ROs8N9G1zXUrurHY+nGhRXyzMkkzh2XLO52ow2Y5oBjFjzZi+DHq81c+P55zXz3BPiZ09qwvWOBGLF/StQMWzMAyxquCq+WCWKIWabzJQdhe+TyOIiVKFIVgoSL1VvuuaR3HgwAHe/va3c+mll9LX18cdd9wB5FrSb/3Wb3Hfffet+piO46xZ+N12220MDQ3x2te+duG5wcFBrrvuOr70pS8RRWvzBa0FoTVRmpJlmjiNOdTo0k67ZFmGJcEV0O0q4jSmHaSQgZzTpDKlUaYiTjIa3RiVrs2UkWSKIM7WRcVfrQloqbEUARW55j3eCGkfU9duJkhQWjETJCs6Tv57ZoRxyoHJFiP1Dk9OtHlisk2jGx9lAkwzRZRkKJ3X1Tsd8+HYSvyL58N8rb/R2Q7TrYgky8tM7ZtsE8UpJddmR69DxTeRwlgwEzbmvstKAg5cc319uN04pRPlVofxRpd7901x3/5pxhrd0xL8UPNsBivuqgoMdOOU6XbMdCc8zpSYZIrZdsjh2WBT0iRWw5pWoIceeoif/MmfRCnF1VdfzRNPPEE6t7AODAzwL//yL3Q6Hf7qr/5qXQd7Iu677z6uuOIKDONoGXzVVVdx00038dhjj/HMZz5zU8Yy3Q7ZM9NkphmTAj2eotFUpCmEGdi2QEpNqgykoYgyheoq2l3QpIzX20QJbKuUOdzo8uNrGEM3ThmZaTPZSXjaUHnV4cDrxUoTgreKGWJ+HPOs53i6iSKME7rJ0bfdzqpHvZOxs+qtaGyNIGFkusVIM2a6GxJGKR0hODjdYbinxPY5s+AT4032z3aRCC7aVsGxJFGaC8t5E+FafvNT1YYXa1XjzYjZbsjobEh/2aG3EzLejjgwHRAkKcM1D98UBFFKx8y7HjiWRACWVCfV9u7fP8Pjk20uHixzzlxAwnrMtSBOaYWwb6rFIyNNbEvQilJ21HxMI6K37BwloDfSgrDW75GmGc0wpc8zmWqHJJmm5lmkmWK0GaK1xreM4/rpnc57dU2/4O/93u/R09PDnXfeiRCCbdu2HfX6K1/5Sv72b/92XQa4UkZHR3nBC15w3PPbt28HYGRkZFmBFUXRURpYs9k8pbFMBSmtIGE6AAmYKBwTghimU6ikmrIL22seE62QZjuh2YWuhlQktDoQJ9AIGsy0t530fMuxf6bDSD3CEIKLhnvWfJzDMx0m2zGDZZuLV1lBdLzRZawRUbINessOjSBZ8Kktvom7cUqUKhzTWHMpquVYzQ027/epdyKCKCHI4Nx+f10EfrMbMVIPcK2jx3D1Jdso+zbPOKfnhJ/vxinNbsyB2S57JztMtQK0UjgyL+klhaAdhCRZmUYQc2imw48O1qm5JmVHsquvhGMdueUbQUwnyig5csnvtxEL02KflSUNVJrS7CbMduPcHG5L9o13ONBskiYw1RdjCuiveswGCf1Vlx29/kJrE982T2ianO7EdIKM0UZ4lI9msU9tLd9zrBGAEByeDTgw1QYUvZ6N0lB1TGbbIRPdFK0U5w2U80W/fMQ8utE+4ZUwE0S0I8VIQyCMXGvuSkGSaZrdiEagGPDtBdNyN07n/p+htabkmOt+r56MNf1ad9xxB3/wB3/A4OAg09PTx72+e/duDh8+fMqDWw1BEOA4znHPu6678PpyfOQjH+EDH/jAuo3FRtPuxkSAB5Rdg0QpOikooJ1Bqx1jyZR2VxFEEGlIgCSFOLcS4iqF66zenDGvIbSjjHoQ0+ic3Bx6opt2shUy3ohAq1ULrMdHGzw23sYyBBcMV6l5FoaRC6V0buc5T5Ypukrj2+vrH8gX5pSSYy4szMf6IebNOJY0CJOMmVbIj0ablC2DThRx8VAPNc86pQVmtBVycCogQ3P1okW217c5d6CS5++dgFYQ8+hYi06cMDIb0gljmmFKqDW2zhhvhQzWXGbaMT0lm9F6SL0V0+om7Owr0ePb9JWdhfMmmUafoNL7E+ONhTqFT9/Ru/BbzrQjXNtkYJEWsVKm2yFTrRjDyKu9uLZJ2bM4/MQ0iVa0OyF7Z9ukqcCxNO0kIc0izDGbHZUSu3tcXMukFUSEGVw6XGG4tnxAxY6aw1gzotc3F4JPIA9YOfI7HB8Ustz88G2TZpDw2FiTg9MBM+0uj820sIVFb7XDj7kms6FifDbk0GyXLMnohikXD1eQhoFt5iXaMqVIMr1uAmup+/dE93QriBmtRxyYbvP07VUGyw5KGJRdk04QsX8qRKmMPVMGAzWfyWbAdDumxzMZ6vHzsnMnOPdGsaZfSymF7y8/SSYnJ5cUHhuJ53lL+qnCMFx4fTluuOEGfud3fmfhcbPZZNeuXWsey0yQkkmwgBRoBYpWCN251zNgOoBuqDAt0CnYQAjMR99m5B3IVxMkOL8LAnAtk17XpFtyqazAWd2NU+JUYS+h4ViGQBsaaw1x53umu9xzYAZpwFgz4rwBn8Gqy2QrZGfNpTpX9863zYVIsfV2aI/Odjg8GzJUtRfO0wwSXEtScvLHU62IME7xnLwT9P2H6nzr4cPEmeCaCwcZrHgnre5wsht3upNwqNXF8eTCbjXJFFPNgMPTXSr28r9vkikOzHQ4NNulE6boLGWq1eXgVEI7g0Y74fxtIRPNmE4QUe+E/Gikzv6ZNp5jUBu1aUcpGsF5AyVqXp5k3D3Bd7prb509k03GB6sLAmu8ETLVDvFtc01JyhONkMcnmmiVJ7aPzrS5a3+d+w+M0ElMLKGJVUazC44GZaZEIZQrAUIbjLciDLPFgamAmm9RdswFgbXU7z9c87ksFVTdozd+7iJNc16DCOc+Pz9HlJ6/pzJGZtoEqea8fp8wznhirM1kJ+TgTJvDEyFYIT2+ZHdfiW6YMNaI2D/bpmxJZoOYVhBTciwMAZ0oBSHoLa2fdjJ//4pFgRInEsSTzZD7D8ww1gpJM41jGVR9D6E1PxxpsG+iwVQQkyjFUNVnrJlbSgYrNrsGypQc44QCf6NYk8C64oor+Id/+Ad+4zd+47jX0jTl85//PNdcc80pD241zEcYHsv8czt2LB8u7DjOugrYmU6ESx4A6ALdEDrHvCcEUg0yBp8j0S/z7lpBrmm1VtF9cbod0Q5TXCufTDv7SghpsqPnxL6ReZaTjT0lh1QLek5wgy23WP/zwwf57t4AB7jqggRtCLqJxjLzuTJQ9RaE5LxfZb0n/WQnYqYbk+qMnf0V6p28Yv6kUuzuLzHZDHh8os2+8Q7jjQDD0Ey1I/ZOdUgzKLsmF24rM9NJSAfVsjv6Y8PIj/0eaZIhtEZlGZY0mGpHaK0ZrUc0o5jpzvK/bzdOeWKiw737pjANzWg94MnxLo256REpaHQTtEo51AhpRQkPHZpg33R+k0/PhvTWXCYbIVdf1MdlO/sATlgo98B4nUcnWugkJcnOxZIGAk2q9IqjDY8NuBmZafPEeIeyLeivenx/f517D03x4CTYpJQA24EogVlYuCG6LXDNCGnARDPi4GSHwybs7nWOEv7HLpxjrZDHRhuct620qPyXcdwivme8wUgjZrjmcNFQXvW+ORcE041SfnCoQRAr4iRhsOLSDTMmml2m6iHTGZgZHJ7s8kNvmkRnjNS7NIMYwzTpsS1sw6Dk2fiWSdm10VodN45TIYhTploRSZpR8Z28e7lnzwWn5Hf2YkE82Y0YbQRMNALCOKHZCTEtk+ec30+zm3Co3aUT5LmkB6fbjLdiRhtdTCPP+7I84yhf72KNdSNZ0xluuOEGXvWqV/Hrv/7r/PzP/zwA4+PjfPOb3+TDH/4wDz/8MJ/4xCfWdaAn49nPfjbf+c53UEodFXjxve99D9/3ueSSSzZtLJaRF9tMgeOLVx0hnfuzgGMLMGlgNoR6a2XRjUmmqHdC6oFieE6TqLgWtVjhWSc3K57o5ql4FpkWy2pqSaYWFt9j7dp3781NsRHwyGiL7TWPeivAc2yCOGO4p7tgalvK/HKqN/NUO+TwdMBEK8YSLjPtiNl2wKFGhGcZoDV7pjp89+Fx7jowSacLQuX+xHDuGKXJOo+N1dCAZbCkwJoX2O0wQRriKPPT/OudMKUbq4WdQZJmBLHCcyWlyKRsL/9dJxoBd+2Z5JHRWSzDYP9ksqCxzxNnikP1kE6seXKyzqNz1voIeHQ6pb/Tpmy7DNZcdvZWMKU4oRknTDK64Vzz0bm5ce++ab63Z5qrL+jnoqHqQrj8covVvPY62QpxLcneqS4HplsImWs5Pzo8w/7RfI7Ec392dPz9kABPzqZ8+f7DnNPrMdmO2Vb1ONyM2dUKF+bdsXN4z1iL/TNt2mHMFef2c05f6Tiz2XgjYM9Ul4lWxGw3Yttc8Es7SgmjhDhVzLQToixhqm1T7yTsb9aZbUVMzHkaUmC6FXPfwUlcSzLVjgkjsKyEfSWHUtni0dEmT99exbMlQaxpdHOBeKp+oPmI4DjT7J/poKY6XNDvYw3XGJnpEmaatpdvYCFP0J+cCRidbTHdgk4nZWw2YLCnzHDVx5TQ7oY02xkHTMnuXp8DMwET7RChNZOtkGaYLmyENzPpeE0C6xWveAU333wz73rXu7jpppsAuP7669FaU61W+Zu/+ZslAyDWi9HRURqNBhdeeCGWlSdhXnvttdx2223cfvvtC3lYU1NT3Hrrrbz61a/eVBNllCk64cnfN89yQk0DD47NrugYSaaY6cQcnAkwhc+2mkeQKDzHPKpCwLEcmmlzuB7S51ts7y0tc2xNmKQsV+IpyRRaa9pBQpioBRMfHL3wTAbwo8MNIEFqi8m2T8WxOKfPoxNENGJFxTHp8Y9cq5PdzI0gXkjGnV+w5nf0ljR4crzFIyMtDs62mW2VaceKTphQ78b0+iZppnlg3wz/99FJppeJRt4zC99+6CDj9X5eeNn2Jd8z1Y6YqOeLw/ba8RptkilG6h1G6h0qtmC2HTLdSbAtycXbygxVPHb3Hu9f68YpzSDhnn0z/HDfFPvbYJBx7NIQA/snOrimwWQrZM9k46jXNTAVwlQzZKYZEcQpQuS5O425MPtjNwhhpoizlEjphef//oGDHJ4NGWl1eeHThwkTfZwv8lgO19tMNWPQmkfHmjwyMoNhSHzDYGSqw8wx0fwnqp557+Eu9x7ORXXNbBHFMc1Ownn9LlddNHTUounbJpZtEaSKVqQ4XO9SWeSHnN+kPTwyy/eemCQj5cd3DdIOYkxpUO/E1Lshs+2Ug5MtMkOzu8fjzv2z3LcvOG6c4zEksxnlsqLbgWmVfxlnpI5rGSgt8G1JmCgylRfIri3TSeGRwzM8Ptnh4sEST5vThpcjyRQHp1vcvb9BGsds6y0x2Y6xpzv8yxNThEnKeX0+jmVim7nZ+cGxJhON3E3RisGMIUjbjA54SGkyNpExoyHOOvyoZFHvBISxwbQtme7E7KgK6p2IimfRChKaQUJf2dnwIIw163BvfOMbee1rX8s3vvENHn/8cZRSXHjhhbzsZS+jUqmseUCf+MQnqNfrjIyMAPDlL3+ZQ4cOAfDOd76TWq3GDTfcwC233MLevXs577zzgFxgXXPNNbz5zW/moYceWqh0kWXZugZUrIR6O2Z8FQLrRNz5SOPkbyKftO+4+V5a5ObFj7/+chxLsmcq4DnnVIClm/vdd6DOyGzAUM1lZ19pyd32bCdithNjCBYqDRxLsxPywEgDSxg8bXuNy3b2LPm+hybmNcaIhycjwlhx9YUDfO1H+3n8cMrOHnjNlRcyVHN51q7ek94A+6faTLZiBis2P7arj6l2xIHJFlPdGBDsGW9y/6EJOmHKVLNDO0yYDSMSYqLY4LKhkO89ObqssJrnwUlFJ5mlYlm8+lnH+zfvePAw//fJKXZVPf79c89l+xJm2HoQo5Rishsz3oyI05RuIklSlVcrmFtIG0FMN8rwHck3Hhzlvv0zjNW77J/b2Sy3jx0PwBxpMdhnc7i+9HsOzLb5wWGTnYMlelyTTGVkKq+WsL3HW/i984jEiDjJ6GZHzNJ797UZ1xDV22gEQijME2yIAJJE8aNDTTphzA8PTrK3AYqUVneSsVO4TxopfP2ROpk2GKn7+K6Db0viTNNXskkyzY/tKPPYwTqtOGbvZJtn7OylG6e4Vm4ee+jAFP/jX/fQbEdIU2AJi5IjcRyT0dmQbjdi/0zAI2NTuK5P1Wryvb2TywrVmQzqDX3UNdrbBuPQDK0goRvEnLetim0anCeXT0L+wj0jPDHZ5KLBKv/vSQSWJQ0eGWtTb0bUg4iS72BZgj2TbR4bq1PvpliG4BlxSpgImt2IR8brR2noKTAbwf99eBJDw/ScFWA8hKFmBEqTqJQgyTAEpFrk/uZU8chonZlOwgX9/rLrw3pxSkbHUqm0ppqBJ+JP/uRPFko9Adx+++3cfvvtQK7F1WpLR6lJKfnqV7/Ku9/9bj7+8Y8TBAHPfe5zufnmmxc6Im8WT07NLusPWi0nMikuJohTWnP/V8A7/vZHvOaZg1yyvcqhRsSzlvExddKEeiehXJI0g5hurOgv20cJijBOaXRjSsuYrLpxykOjDe55fApMAwPNxcPVk5rzUuBbTzT4/hONhe/5eB1uu2sPV100TN+iMPrlfGTffWKKew/McMXuPn5sVx97xxt85b7DfPtHY8wmUDGhlebmvSop3XSCdh2myAX7dL3DvhYrYl895fsHJ497PskU7/nfjy48vmC4StU1cedMZfO+g6prsl9rTKEZb4TMBhFZBkmSsXPAX6iCkWSabC5674a/f2hlg5vjcADZZMxyKcjTAXzjsTr376vz8h/fyTN31nAsiQGUHblw3fdPtmjFCoXAVEdMnI25iT1DPi8WRx0uxUw75P88Msmdjx8mTuHgogl9KsJqMXc+OcOOah0UtKKIy8/p5cLhGudbBucMVPA8SUcbHJwOaIe5Nj7vg/udz9zDgblxVAwoO21cW5IpQZKlxEnKSDNgbEZjOB1s0+DwSW7KpTYUTzag0Wkx0QiYbocM9fqUbYltNEkxOLffP8rU/M0f7mdfC/aNzfL//j+Xn/B8eRk2g5F2hyBNGZm2EIZAa3hkZIosM9lWthFCINA8Nt5iZHLpqOmJJSTx3vGAkp3nkHpmxKMjLerVkPMHK/SUXKZaMZOtmPImtDFa0xkuuOAChoaGlhUGX/rSl/iP//E/smfPnlUfe9++fSd9z80337xkUdze3l7+8i//kr/8y79c9XnXk33jy4fQbxT/9WvHL2xf/OEkrzXg6cOVZSN5+jybMTskDDP++aEx4kzxjB01rrpgcOE9qcqTm1O19N7+4UMz/MMPDvHE4Sa+Y9PrWjzr3A7nrHC3dez9v7epkXsm6PVtLtvRw3DNZ7zRZaodM1C2FxJAAf754RH2THQYme3wC9ecx19861G+s/fIEYNFmlMDaNSPPFawYmE1z6GJ40XBW//6O0c9fvhwg6pn8vQdvQuhy3vH6ozUu8SRYmymyz89dIiZVoJrm/R4JkoaZGnGwRmfLMuYaEYLGtdqmV1BR5rJGP7n9w7z5qvFXB1Hg5lOTMXLK0j8/754D3cfjHCA5+yWNINkzi8KYQhlE5TWJw1lPlwP+dHhaZ6sr+mrrIhWCo/OKB69K7fEfPmBST71pufQjRVVz6DHdzlYz4MLnpxoc+n2KttruWA+sEhothTcdbBNGMeYFtjSoeIajDc61AEi2Hd4lRNmEVMpTE2nPDo9g80MV5zX5LLhCpfu6CGMU4Zr/sLGbLqTm3Fnjo3WWoZOmDHZDqi3IzpdTTtOmWq12TelkST4bp179k0zXLMZmw1XtVloKWjNvf/+sZBdfTOM1W1GGxHP3FVjsh0z0eyyo2fjc7LWdEfs27ePw4cPc9VVV3HLLbccp2W12+2jtKSnGqObL6/4/P3jSz4/1uzy4OEWPb7NBUM1nGMWwSxTRHFGsxsRJZqyZ7Kjxz9Ko8mURmlNNte+4lht51sPT3L3Y00agNGJkY9PcU6fxxUXrD3p+Yl6xhP/sp/+qsOvveBiJpoR050YpTRDcze2JQ1anZBuDM1uyHgjPEpYbQR1fSQoBPLd7beePPqcX/rBYbZVHLb3lBko5ya+6z/9/SOCOYLJH83QJY8Q3dUnqPo2sy2Dbga+bZCmml5/bX7X1RQhu/PJQziOQ5/v0192cExJkGTcfTBaOFY3Ucy0Q6qexfYei+54wlBNYJtyWZPWPPfvm+bxkXVSpVZIBPzNvz7Jv3/WDqbbCf/40F5GxhUp8OBog9c+dzcve8YObr9r6TXqB+MxNcCyYnR6xDwGMHHqpTmB3E93574md+5r8nPPSvjxnTV42vDCxvKi7R6Pjwdcsn1lRXvveGKUBw7n12y61SFKYx6ePLK5emg04gv3HOTZu3rphCsrAbYc/+ehaXo8uGC4wngjohNGhApmg5PY1deBNetwH/vYx/j617/O6173Ot73vvfxR3/0R+s5roJ14v69HUxjClMKaiUPq5YLmflghYcO1rn38DT7D3fopnD+oM/zL+xnqh0Rpxklx0QKgRAgRe6wvXvPOA+Pd3n6kM/zLt7OI+N15j1tCvjRZEDlR+MM9Zy6PftDX32MN/27C7EMmGnlEX6NTkAmTM7t87h4Wy8zrSnKjsd0c4Xb0VPkocN1qp7NYHXp6hezIXzx/j3s7C+hM48k08dpkd1F/+6f0QxNthibbfIvj7kM9zic11thsLrxgUIPTwFESCK2VVwsS3Ks7PnXh6d59q5elNa4to3nJVQ9F1MaJ82b+8y3nzgumnEz+NbjdQZKNrfef3TLlnsOdajZo1xz/gAf/qcnlv18A1jWrrrO/P0DE9zx4AQ/86xdC1VgXvfjuzjUjLiwf2UC6859R+Z+W3GUsIL8q9xzsEWz1aZUWjrQY6V0gE4Ah/e2+M7eXOOsSCibG9+Pbc0Cq7e3ly9/+cvceOON3Hjjjdx777187nOfW9bHVHB66AJ3PNng4FiDR0ca/PTl23nVs3cx3Y4JkpTv7D3M/YeObBsfGO8y1UnpHp7FFga7el1KnsO2VFPy8gX0rX+VB3dUgB/+/1/JI/uO12oePdjgqz84uC7f4Uv37ueeJ2f49mNjDFU9DBOy1ODq83s5p8/nvgOgtOLRyc0RWH///b08e/cAOwdKXDK8dDDLY9Pwg0NNOknK805S1ikE7niyufDoocmQ/+dyk5lw7d2mV0sGfPXeUaa7AbtqR280msD/+JcniJOUNM2QAjKh2DPRpKfkck7v8nl+BzfvKxzHfQeWjrD9P3vqvGr/8RV6TifTKdz6vf1cMlzCtyXfP1DHBq44r3fdzqGBx+oau77+F6WVwd89MMUf/8K6H/ooTtlL9gd/8AdcddVVXH/99Tz3uc/l7//+79djXAXrzN4O7P3RJA+PzXDl+f1MNzrMBulRwmqebz08ggB29pWRF/Zz/rYqWueRV8BCcEeLuXD6Jc43k8F3H59al7H/py8c8c+Ndo/YWx8Y6/Dyp/cx0gHRifj2o0ubRdebz947wff3zvBzz9lNzwmiGH9wcAYTeNq21XcKGGuGOCeJvltvmsA3Hqkz7NWPH08XHhprkaaKNIMwTBlrhLSClJorN72m3Ep44th4+UX8zhdWF8yyGXzs/zxJL3DezjKPHG7TXxM849x+fnhgmliLhRYpxwZGrTb/6TTuIU6ZdQnrePnLX873v/99Xvva13LNNdfwile8Yj0OW7ABPDKV8dhok0P1LqONpX0L//vBaYZduBLBhdvKXHaOpLeUN1g8lkaw/PSf2ARf3t6J2YWorAcP1jf+hHM8NpvytR9N8LRzahgsHRn2/YMtSpbm099dvT9372iH/trpqbA/tsx1C6OMTM2VLIoyJpsRqZ/SDEubUpbnqcAs0DzcJgNmW5p9k02yTAGaZreEIQyiVNMKXS7bcSQN4qnCusUhnn/++fzbv/0bb3vb2/if//N/IsRZ3u/8DOZ7T05yaLbLSHP5nf9YCP/25BQmmp6SQ8kxOW/geJ/UZOM0RJgs4tFFHvHWJg/lB2Nt/vXRKS4fNvjB2NK73G/vWVsQyGQCk1ObG6xwMr61p77wf1eCQuO69kI9xkJgrQ/zNo9eT9DohMSxpr9qMdG2mGknpElKj9u3EPASRJvbf+t0siaB9a1vfYunP/3pxz3vui633HIL1113HVNT62MOKlh//tt3DlAGTra+T4fwxQenMYVgW18ZySDVY0w/s92ts7s7Hcv7Pz1wkMt21/jB2MoSvM8WWl2YqIdUHTlXCT/dEi0zziYkmjsfmyaOodZjcm6fT9lx8ByLXc2QC+KUyUbAo2On1g7pTGJNM+uFL3zhCV9/5StfuabBFGweq9n3f+FHU1zc1+CynTXOOaYr7p6pzQl02Koc6MKV5tbz32w0beD+Q9M0o5jtPT7ffmiM+w7Vufq8Pn71RZtXt/NsZv+iW2tqNuXJ2SYecE7NoOKZbKt6dMKEVrhOsfbrwKGZ9lF5kuvNigTW3/zN3wB5OSYhxMLjEyGE4I1vfOOpja5gS6CBx2YSDkx32HGMX+Xzdz12ega1lVhND5iziIdHAqZbIRcOVPjWY2M0gpRulBQCawMJgMcbCvnYJJ4j2VZ1+OHBpcKeTg8f/NIDfOrN/27Djr8igfWmN70JIQQ///M/j23bvOlNbzrpZwqBtT5sJU/gjw7X6S8fnRv0o9Gts7s7Xdz+g6em+TsCDrY0s0GCZxlMtzVDpdMTKPJU4/GpgOrjk1yyvcKe2dPrR17Mdx6tb+jxVySw9u7dC4Bt20c9Lth4+raQten/PDhFO9o6PquCrcFsO2BHtcRQ1eMFlwye/AMFp0wG3HWozb7xNskWirnYaD/yigTWueeee8LHBRtH79oL3687IXDHE08dB2/Byvi3xyf5iacNYUvJQHVlzUIL1oclSlueVp6+9mpsK6KIQ93iSDY3ebSgYLWMBHDbfePc9cQE2Vw/ssVdhgueOlw2vLEa9oo0rJ/6qZ9a9YGFEPzzP//zqj9XcAxbyYlVUHACnqhnPDne4py+MiXXwjGL/fBTDdc6tTqFJ2NFAksptepEYK2fmpFT603J3UJOrIKCk3D3/ll29JXoLbv0uoV14CmHsbE77BUJrG9/+9sbOoiC5QnirVXtoKDgRPzfR6dwBVxyTg+7+1ZWabzg7KF/mQ4G60WRkr7FCYJCUy04c2ilcMcjUzw52+XpQ0tXsi84e7lgaOOShmEdBFar1aLRaKCW6Ea7e/fuUz38U56tbhF0WF3DwIKzn4kUJg532Tt+OjphFZxOzuvZ2CjRNQusv/iLv+BjH/sYe/bsWfY9WVYklZ4qWz3OaqgEB57a1ZkKlqG+hfKDCjYHx97YoIs1hfF86lOf4jd/8ze56KKL+OAHP4jWmt/+7d/mve99L8PDwzzrWc/ir/7qr9Z7rE9Juit0YfWepmjCy3atX4O5goKCMxcP8O2NjQxd09H//M//nJe97GV87Wtf461vfSuQF7z90Ic+xEMPPUSr1WJ6emt19DxTqXgru0TVjTUdL8sLnz68bscqIvgL1sqx26aBY0zpRTrzxvP0nS6VDW7kuSaB9eSTT/LqV78aAGsu7j6O85I9tVqNX/3VX+WTn/zkOg3xqc3OnpU5rmvVjVXFl+NZ5/St27GWiikTwIAFl/RDGTi+I9fWYqd3Ym23CPRef2zAcfPftizh/CoM9Rx9ESp28dtvJFUL+ryN3xasyYdVq9VI09xAXa1W8X2fgwcPLrxeqVQYGxtbnxE+xXFW2BTPlRaQ12kxgXn3gUu+6G9Uecxt69gV1yIf72Ir6IALNdegt1QC2sSRJmof+X5bjV3bXFRmctehpRu4uMCZ4vKTwDklmOzAVg6f8A0Y6LEYQFF2fGxL0uiEOIRE5PdDb8VCdhNGt06d2LMCSR54ZRugBRte3WRNGtbll1/OAw88sPD4mmuu4S/+4i84fPgwBw8e5NOf/jSXXFK0GFgPkhXaySqOvbD7KJlQBXos2OZDtZTvQjeC2jqaAAx59A5KAqaRC1zPUSAEliXpOz3K5IqwpU21ZLJcCUhH5EJrq7K4Fn/NgFLJYvv6KdHrjgNUnDzB3rYsEq0Ik5iZZrgQvSoBnSWEW7hu8xae0iekIqFsQ9WVeKa54V2n16RhXX/99XzqU58iiiIcx+EDH/gAL3nJSxbC2C3L4gtf+MK6DvSpiACq7sou0XkDFfZO1pmogy1AWlDywTAkDhlEMJmuf9Thek1QCRgGpHOBpQ75wm4KkKYkTASVkkOSKEq+REzENJLT02X4RHRVQpZYVPy8K++xSAuSRQtnGXANmNoC4aD9JpRdkAZ0InAsEEpjG8drvqcbi1z4b69Jhvp9BAatTgIoHEtycJEaawCBEtQ8zeyc4is50or+dHDs+RPgHC+f/814a2u0ixEKPAe21Txe+LT+rSmw3vzmN/PmN7954fG/+3f/jgcffJAvf/nLSCl56UtfWmhY64AG4nRlxq9n7KzyyFgFQ7foJmAo6KZQ8jQyM6hWIJxVbNVG7j5Q9SFu5DevQR5I4tgCiaYVxNi2oL9kU7NtXDMiTDMePBywlQpWC51Xp1muQo1tgRvnZkETGCiB58PU5AaPi3w+HYsk38TYQK1i0V+1iJKMJI1IUugmGt+26avEjLQ2dowrxQBKBgxUBK5rYKARKFwPOp0U0zx6WRsoQ8k2sW1NTzulDtQsmFlm4hgc2dhtlGDrMSBRsLj3QU9N0gkzDAP8DKa20sReAgNwfbBkruH2+M7WFFhLccEFF/Cud71rvQ5XMMdYc2V2DM822Vkr0egGaCMliMDWYGQGlZpFEMTYFvRl0FIsucj3CZhZRWGN9Sy841hQ8m3SNMaKQGdziz8CYRoolRHHBtox6HEdWnFGCuzqgz1bp+EqNdcjI8OSuVk25ohm4gA9ZUnQyeiQC5BuyqZkXlvkfr/FilwJ6C2BY0Kcgm+b2NIgjFOkBTIDrTIMy6Cq2TICywV6fLBsE9MyMQwD2zSoODWyUorGYLGOct5wBQkIDOKBJqW2xrKgneTXZzHzYQMaKJugFMysk/Yr5o7f60K1ZBCniuaiHaRt2nR1gMjAkVBNoblFC930Sqh4UPIErZZmvB7ww4N1XnTZjg097ykLLKUUjUZjyWK3fX1b2Pi9SUhOzdFetlfmxHIlSGlQ9W0sy8Z3Y7QyGKp6OJakI0yarRaRhB4F0/Hx5kHfyfO+Vmr6qTgnf89KMIGyA55voVGkzZRGJ99Fb+vx6XEdGmHCVCsgiFLG2iECQdk2iW2TKulRO9XTSaoS4lTQW/MwjQQpNOOzGU3Ak2BaFl45g0WmKU0uPDYyGMOc+1tsaoqBasnCtCRemqKzlEY3wzQMfFsSJhlSGhjaQEoLi2TLaLOGFJQ8iS0lpgGmkNQcgyRz8I9xCJ3TUyYME1I0nmOBzojS7Kj5P69VKeb8eDLXhlPNuthCBfkGr2RDyTMZ7vGZaoeIRowmD8O3TIHSgA0Vx6RcTvE7IASMbiEbYQkYrJm4vkXJlrTCNpPdkCcm23TjdF392seyJoGVJAkf/ehH+eu//msOHjy4ZFkmKCpdQD75t9Vg7xpscSbQX16ZHiOEwJaCqmMRq5Ag0lRLkqpj0+dbjGhByZfYSQYaTAlhDLOLLlEqoWqzYud0f3V91H/fyG9iRwsiDXGcLyBRBLFW1BxJqhQdxyDTglgpMpERJYos1ZQcaC7SUnxyM87pKBkVp3mngqpt4fYaKC3oxG2CDmiVD6xs5je9AColAVLju2CEuRa0EYFsGbmWtTiC1ASyFEoe1IOMJAUzA9M0sE2LHtskSgWGFKAVtQ32ta3U/GYaIAzQ2qDsSKqeQ49nY1kmNcckiI8+ymQrwDEMKq5Dr++RERK3j37PvMAyyOeNyoAA3HXalM3fKUrCYK+LZRkIIdjlQixguN+j2QkJYxApZI5CKPBNMC0TnaSMbYHdggN4FviuxLUMMq3oBiAtTbIJ6/2aBNbb3vY2brnlFq655hpe85rXUKvV1ntcZw0WYK5Rj7WB3vLKYsqmgpQwyWjFiiSSqCyh29VEbkqYSmIVEyUZYQwlz2K4x0RomD14ZHm0Rb5Y2hxvKlmKnb09QJ53NLtK08Xixck0YKBaomJLxpsdVJK/lgmIIxjv5E45LQwqJYOKNLCEjXAVD7aj4xY5x4DwNAQxmECqM3odC4RB1XLoxBFBnJtgbQMqnolhWPSrBBOoVn2SOEWXYgKhkSbUW6y7r1HMnV+rXGCZ5NFdpZJBlCgcy0QIhWub2Jak17exhMCzJN00Y7zVRgE95Av7Rmi0K00ctwyoNzVB2EXoEj2OQxgpfDsP0PGOaYVU8yzSBKTQtMIYQ4Hn2jiNeOG3kOS/i0E+9zOgJKHs5wEop6r9zod+12xJmGhKFmihiBWYLqgkY/+kojs3ll5D0o4VmQYLsSU0WwvwBWQa4iTFsg3iSCONuQ2RkFvTh3Xrrbfyxje+kZtvvnmdh3P2kQKNNd7dhgFlZ2XpjhYaDWidkeqITGlME6aDhFBn7J/skCYQhFBxUoS2GC47mAQLN6pnGTi2Rjc0UyvYLA3NtRIoezC7SpOFwxHzlDRhqOwgDYOS7dDyQnQIOoapZoBjg9ACQ4BrmPT6HlorxpspSmU4FkepU5USyACCdUrWWqkAL5mwzXMZqHhMtQLaYYLSBn0VyJrQ68OA59LqJug01xKyLKbVTXAMk1pZ4LgW0KWxzv4ik9wkaQjoZlBzYLAiMYTEsw3CJMTFpORJBIIgziiXHCzLZJtn0QozHCsh1NDnQnMDJJbB8sWUS+SbKY/cyd+KIA6hHcS0Iid/PbHoMQTmMQJrW8UnSVJmOjGmYZAIg4GSwagZ00mPmAFj8o2FnhuLIcAyBDVf0zlFk5xpQMkB17Hp822CNKPbTUgBEUNkHfErZ0AryB+lMYRSE28BieUDUoJpgTRMDAy0EedBO6ZAbkJm9prEoe/7XHPNNes9lrOSsgeet7bcm0xBlq1MddlWdak4DhoDy7TwXRPbNqk5kiw1sFAkCnrK0Fsrs73kMNWNsMl3tiUDMq0II41Y4aww52aotcptj8PRVQd8S1DyLGplh4pnM9jj0FcDwwSBxjZMhiseu2o+FdchTBWpFkwHIXGqj7IjSXJfnLFOGz3jmLGeiG0Vk5pvY1sSQwjKjknZMaj4Lr0l6Kn4OKZBGMcEGUQamu2EmTo0opSKJ/EsA2Gs8cZcxLF5PUKC4UCW5ddbAEpolFK4FqAltmWilIFtmLSjjJFmRDdKCWNN1ZJkQMUVlDx7XQNu5lnuO9tz30eTX1th5kJGA6YwMA1BN0nROkMikIaxkE9WAp6xo0pf2UdoSJQiyyIinZvbvLljuyJPMbDJF2Z77lyWtKisQ+KcLaHsG+zocen1LFzDwLRMyjaUyxbnbyuzvZL/BhZzkaYyN0n6tlwywnOz8WwY6JH0VSWpipmud9FK4sjcDB5lG5/Ov6b74hd+4Rf4yle+st5jOSvxDejvsel3V18axrbBP9aDvAwDFY/essWQ72AYAkualC0Dz7G5ZKjKYG+Fbb0OfT02Oyo2Jduk17Fx5vyjSkEjgGYnj55aCd5cR1lrlQUvLY4smh4w2OtjSkGaaoZ8l929JQarJWwJUQKtMMGRBp5lYqDQaMIkPZJZbMKglR+3ZMBkIxf264Ekj6Jb6ju4HLmmPRJ6Kg5SGGghGCg5DFZ8BiouZcdGGBLbMoi0xnVNpM6HHkW5YLZNE8t2sIREZcffmKu9UY+9hJ6THyMT+dgrnqRa8hkoe6AkWmd0wpSqJ7HNXOtSJHTjlKprUnMdqj44pkXNt3A2wPJjSSgbR5t9jLnvUicXUGGcp2xsq0J/WVDxTVzToN9z6fNtDEOT6SMBQf5c2F9PxaLiWbiWidaCOFGUSrlZtGLn1yAkF4QZR67rQI+LbVmciivLIF/s+2seVdei7Nn0l1w8V+D7Fjv7fGqewwsv2c4V5/oMutBJQGT5xsvU4G9iXanlCixJA2zHouJ5mIaNNgwMIdACtIY41Rte6WJNJsE//uM/5i1veQuvetWreMtb3sKuXbuQS+iDV1xxxSkP8ExH24JnDA1g6DrTB7srzukwgB7PYMcqOniWXJNYaWxpYLkGZdtid69P2bEYKnk4piTTmt5SiSxL0QiyOF8IAvL8oNUEK8yXZfLtY2xyJ8HzIAnyG6PsQp9vEYUK3xVUSjYi1PS4NofM3J+VpgrDNHFticg0nSiht2wjjDL1Rpfx1pGgAjTESW5uWxxgMM9q82qGPejvczk8HjK56GA2ecJvNnfO/qrFYNlBCWh3IlxT0uebRImg3g2I4oygm9HTb6IyTSbAlpK+XoMsEQxWPGxD0lWKVB3vz1mcGwRLfzeWeV2S79ijFAyd/05V32ZH2cYyTTo6omlYeGXJjmqJHTWfyXZEuxvhOnkUYZDFeI6F0CZ9vkPJ7ywk4a4Xjg2OziNVF499sfDVQNmTVMsWmTIYqHoM9ZTINLiWJE0VM52Y/jIoDTurPkGUYZsG0pSUHUknEiA0ljToLUMUKYIk34DMxVrkUZXSYNB1aLaiBQ3n2PlzMnOxID9uyTGxpSRWCq0UUhoIZeLagm0lh909HiONkH7Pol02CaMMlebh90Ia1KoQzua+w41OenaZ2xwses4nF/qeI9FKoXWMJSR9vk2jE9AMIU62qMCKogilFF/72tf42te+dtzrWmuEEEWUIOBLk5rnYBliVdUCyuQ5PTVvZZeomyhsUxBl4JomWmh8yyJIMpQQlB2bIMvIkoyJVpf+koUWuamILF8MS14uRNwYwnQh8npZBsr5vrPk2qxGYGUJlMt5GH7NNXGkxLAENd8hzjRJmhGLBMfMb07LNCg7Bn0lh0xpdvT5SEMgDUlnLkBDkTvJpZX7vjChvcRKcjLTymLB4AHbB8pcdUE/30pHmBw/UqvRs/NcGd8VZErTW7GoWCauYdBQKYkw6CQZaaJJM5CGoOSZeL5DnGqyFIIk49JKH32+Rao17SChbIDvgts9eqF2yR9HzGmS5FrHUpTJq0BMz33ZjFxTLZtQ6TNQqaLk2SgMDAWNJEMYmpIp2V52EIbBxdvKhJnPbCuhHcUMVl2mug62ZWIbkqE+l0Pt9a194Zl5UMixypvPkRyynf0Og1ULIQRxllFzTAZKFmGWC6hOnNGOM4ZqFSwZsb3PIUZDpJhpB6Roqp5HxbYYyRRJmqJRaJULnnlBqchTdppRRpwlC0Jp8YpmsbzAWjyPTAGWZRImmh7PwMAgShNSlWHO2d8zrfFsCye0qfkRhmEQRzEqA2lJHGnTm8WIZi4E66f4W58I04aSgmTOv+cCwyXwfRNbG/iuxDFM+ubM3/vGGigN7SzZmkEXb3nLW/j7v/97fv7nf56rr766iBI8Ab5nobSi4tpkq4g1skyo+CadcGV24ZIlaAcpJUszE+RaViNMSLVih21hmjDo2RxKQiSKLBNUHJuKBY25uzBJoL/PotNNiFfg9J83C4lVbqr6yiY7BxyqvkdZmti2hRQKQwpsBJkCoTIsS+I5Fk8bqjBQ8XAdSaObMlTN7VsjjRCp8kWk7OSVD1RqEFsZmWbJlWQ+dHm5Ic87/uePWXElaSYwpcQlQQM1G3rKFtJWpFFGnEAQgWWaDPR4uIGkGyboTNMOIlxHkinBQMWh6pm4jsSWGdIAIVIs08USEMUZjpSc01ehHbXodo4skBJwTRgwIcnmSlgt8yU0YFlQjo9oDGGc15YslyzSNM/bC7KUdgRRkhKEGWVb0Eo0vbagGyvKrkHdEGgNmcro8xziVIEW7KiUGfFDmt2VR9AdKc98PDbgSoNYKMxF18iTuUmsWhaYWnPxUBlbCMY6+a6kr+oiHZNeQ5KkKRkCVwo825yrlGIhNdTjlHac0ok1/SWLAd8hzlKCpEU3zgN05Nx558VwmEKkUsJML6nVuORm3aWuQ5+EKK+Ilm8MBSSkxFlGybcIEkXZs4hTQcm2cC1JkIJnG3i2hZSKxJMoBX2exVQ3JsvAdvKE3Xp9hT/6Kpm3sltmbqINo9yXpm2LmpPfdxXXod8VjAVd+k2XTpinc8RxjG+vWy2KJVnT0f/xH/+Rd77znfyX//Jf1ns8Zx22NEEL2kmaR4u1VlYnLNWQKk26REL2UmgEJdfMPdJGwkw7ouTY9Pg+O/s8FB6Pj7YwhCbVgmrFYqhWoveAxaG5BI9mArVEISyDiqOOym06Fh9wrNwMLK2Vd7IqARXf4Zk7+rlgqEaQpHRjjaE1rmMw3ogxhUGcGvSXSwyVbXYP1hioujwx0SaKUvYBlw6XsIVB2RcMGZq+so1tW6AUQRaThJoBSzGVHL+e2OQ76aW2AilHfBimAQqByrI8+IP8hd6KwXCPS5QquiKlFealOdpBhCOrCNdmuNcnShStKMWSJj0e9FdddvZ5XNLfQxLX0Tqjmwg8O6/DoJwM37VIU8XuwRQVB7SSfEfdV5M4dkazk+/Y42z5+n4KqFUEqqkJk7lUBQMMR9LnutSDlLJl4VmSjoiZ7eS+EiE0aaZohDEq0zRCg3oroh3HuFLSjlOEEBiWRoUaQ0NfGdL2yvRrh+UFVgpYtoUtEpJEYSd5FRAhoepApeSQZZo+3yGIMmKV4BomPa7NYMUhDFOqjoVlKSSwf6rDVKMLmSBD40gDRxjEMsMzJNt7PGa6IaZpYcoMMTeweeO2JNf4MqUpOyYmyXECyzDm8rSOSZyT5OHwbgozwdzGTgv6HBdpGGSZwrVMao6LWxaUXIvesoUhDUZnFEkClinp9xwcS7KtVmLisQ6JBpnmgTMbhQl4jsDzLJSCbhATKah5kjhTbPdclNKYrqSc2HTilIm5G+mxyY3PJVmT/latVrnooovWeyxAbm58z3vew44dO/A8j6uvvppvfOMbJ/3cH/7hHyKEOO7PdU9vbeyqJ9nZ73Ppth48F1xrZcEXpgTHMNhWWVmPGY2g5JhorYlTTTS3uFgY1IOUiUaA50j6HIsdZQ/PlDTaEWF8ZNlWQJplZIlCmnNCaZnz9VWgMtcOO0lOLlRdchNbf9VgR6/HOb1lhmoelw1VuHibz45eF8cw8jyYNMW1wTY1fRWXHb0uZddkuGyTaYUUitkgo7ds01Mu0VfJ8548Ewwp6XFdBvrKDPZZ7JyL0Jyf6II8ImypvlqCo6+NYUDVNjGliVJ59GTZgWrZo9/zqLkmlgE1V+CaJq5n040TaiWLmm+DITAVBHEMEmqWmUdkejbb+zz6aj7byjZCCAarLtsHygz3legreXiWxfZtNsNlGK4KBns9TMPFltAN8qCSxcKqSi6IbaDXAS00hjEXSUceilx2BCP1DnGcC2DPtaiHGUooTCkZLjucO1Ci5Fg4loE0BK5rYRn5HLItA8cy6HVcEqXJyIVKeQXbXgfwTnAruuQ+0bLrUfEk0oSSBRVHUPKNuWuTMdGJiLIM0zBxLZOyJ6lYBrPdlIOzAa1ugiEF092QbpyRpIokBccxKHkOrm1SjxIOz3YIojR3W+hce7VFLoB6RT5Xlch/g3SJIBjIQ7zlEhGdCpAi99VaRi50h3ocbEvgGIKpVkSQJKQqxpEGQxUHDTSDlFAptEzopgrblvR4HqYkdz4C2gLX2ZhWpzbgCQCN0BkGGZmCqANTzRDT0nnemoQkVSilUYs21IqNby+yJg3r137t1/hf/+t/8fa3v33JYItT4U1vehO33XYbv/3bv83FF1/MzTffzM/+7M/yrW99i+c///kn/fxf/MVfUC4fab+73uNbLRXHZFvNphm4VDyfqZk88OJE/iwbKLuC/pJFf2llUYK+nd9cQ1WfRpSQ2LlPpZtltMOYbpTmqnytxDl9LrHSPD7eRoojEy4EYgw8yyBRJzZF1lyHROWfbSYn31+HzNUezFRevNQx6C/ZSAFCSgbL8PB4rgEaEvrc3J/lWZJGmBEmmsGaQ2/FYboV0Q1j6kFMj2shDUnVNZjuxAjDIEpTfE/gSEFvzSJWCUkKnQwskZtU2vMhYYtwyW/Y1txPYkqTHteir2wxUPZptGMsy2Sw5FIrOzixQTvKyHwD3zepuDZJmmEL6PEspjsx+xpdwigFbaLmzH5awKBv41k2lZJFj5tvNLI0IxGCZhDlIdipxrIFhjAZ9C06lkYLl5SQoAtulmsmvgG9Xu570Ap816EZRExHuUYjyRcZw7BwbU2cGZQdlyxVdKKELBHsGvAZ7ilRcXPfZktrPCkoWZIkSdBK04hT+j2XHQMeQazyhdzII8TKnNjn2evmZrHFzPumNHkOm22a9NkWnTTFijJSDa5l4tk2tZJFvR1RcUw6QYLSimaUMtGIkHODSFJBTylvcWGauX8u0Zqaa1CruIz3eMwejjg4W2eyFZCoBMt08L0EIXKzqW3mJs44ApSimyoMQ5IuoRtmWR7McqyS5RtgORa+Jek4IWXXoOLYVG2LepQs5BaYwqYVZRya7bKt6hMlGb4JceriWRqVgial5lXIMoM0L0aPZUryWXA8Vdae1J2S+4BNKUHI3Jc8Z9a0MohiwNb5tdcpfb5LfEyVoy3pw7rsssv40pe+xBVXXMEv//IvLxsl+NrXvnZVx73rrrv4/Oc/z3/+z/+Z//Sf/hMAv/RLv8Tll1/O7/3e7/Hd7373pMe49tprGRgYWNV5N5LpTsZsJ2WyHRElGcIAb06lX6qCtgtsL8OO3jLnDJQx5MouUTNM8WyJNA2Gyx6WFPS4FrZpECQawxAkOt8RKSBNNSrRpNmRUWig17fwHYswTekEIbPLyKIMRTo3WSv2fNrl8pjMVf2wTHzbJFLQitK8KKmAepjhCogyjcBAiQzfEggMZpohu3pdXNuiZFl5RY8gJU41UkoGyxJLGOAbpBq6QpGlgDQwTYFvJYQSdJgvMEHMcWF485XTa1WHsemIKIWqa7NjW5ln7Kgx0YzIUGgMhqouwzWX0VlFJ45pdPKb15Uw3FfCnSslNdkMGZ2uc7AOw5X8+rfCFKE0hiGplSz6Ky7dOMM2BLZtEqeadpLSiBKyLJvLi0uYaMbsrnmocoQUGVNZQr07V7HChZ6aTZZlKG1iyjw9YT4hXJAHXYRhyEBPFVtCT8lkuhmSqQwhBZ40qfkmvmMQppKaJzClgWcLRloRwlR4mDiORCjordrUShCkAtPS2CnEwfKzQACpOhLhNr+szW/HbDufVfUkJelmqDT3nfiWRY9n0uM6eELmYemZoqJsYqWItcYyJcLI2FmzwDIJo5SSKSl5Dp4laCUKP1MMVBwqnsX4XoVhhFRN6O0RlD0TgUQQkalcCFdK4LgWZdPA9CQ2x5szJUcCE8y572iSmxIrnoUw8o2Z77oMVl2EYeAqRTuMsGU+xyUGYaSoBzE7e3yE0LhmTD2KcW2JSgWz3RjTyDVmaYAwTDyZEi5hGvRtsBS00pUluy9GkfutbAfCICZMc1Ny2YLaXG6HKQ2CVFG2LKJ0vtDwEbakwHr961+/8P95wXIsa4kSvO2225BS8ta3vnXhOdd1+ZVf+RXe9773cfDgQXbt2nXCY2itaTabVCoVxLFbutNAM46Jk5R6J0QhqPpgZ/lkr7eP3g1ZwDm9Jtt6XHbUSvR5Jv3lFRaSnMuDcAyBZYIvJZ5rMVB22Nbr0QoSptsJ7TjBNErEKqWTJjiuyeJOxa5l8/QdPaANhJwgORgsWa3akHmUEMCOqotLi5DlQ27zUGqolWzKvsVg2cY0IIwSGpEiTlNCBZ4lMaoO3SgjjFImWgEXDZao+A7D1dwv5Nl5iHCzm2BLQSfOuHDAw4vBNDStQNJNFUpnxGlGKnJ/lC0hk7kjP4uhnh3ZMNhA1XfocU1aboQIoORbbC/bnNNf4sfPq6FQhHHKrv4yu/pc2lGKEBJ0ikBz7lCFsiNJktwHaei8t1ECdFRG2bUYKFuMtSwcTDAMgiSP3EwsSRxnREpjGwI0qEyjZR7M4bsmmYCKZdNxFGUvI84UUsBAxWawWqIZRISJJslSbJnviud7ivkO1CplnnfBEM0gYveAz0gjwLEsUqVxTEG9FdPr20hpULItLAn7Z0I8IQg0iEwgtEEnyhN0PUviSotUhYScOAIzUbkZc35h9+bmSpO5CMgMuqGiEaZoCYnOIx0lMFjyuHC4QjfMKPsWB6fatOIM35HUHJNMK0qOpFrKmzgGVkJP2WMqiAnSjAOTbdAwUHPIMrXQUgUTLhgs0QkdDAl7JlLSOFsI/e/xLQY8j+kowpa5hj6PQ27qk2Z+fdXcHHcMqJUstpU9DjfaCKERhsrzqYRAaY1pSgwM+myJtAyGe336ShbSMOjxLGwpqWW5qVgYBmXToKdUYqYVk2lwTAPPWbq6jGXmJm+t8vJkwUmuy7FoBTqTGGYeWVktWdTKJr7j0OPa9JY9qm6KZVkcnm0hheaCGmhh8WM7qqs409pYk8D61re+td7jAOC+++7jkksuoVo9+otfddVVANx///0nFVgXXHAB7XabUqnEa17zGv70T/+UoaGhDRnvShhw88TABw7UKXsSKWx6LEEUCVwnIpnWC3kfAy5s7yvRa0vKrklf1Vlx1E3VMxFoeioO462AqiOpuBY7+jxM00RozXg9xBYGQZxScUxaUYItDIbcfPdbdmF7zUYC5w/5zDTLzPYEzBzTvsMBSqaBObeb6vXdBYVlqS1CrwnnDDjUfJPBks9Q2abiWlRdhyBKCZOEZiel4lqcO1CiFeUaRSuMKVsmsRIMVfPUgFBrdvX6ZEqjVMbeySagmGhH9PsupinZVnEIlcCfbHCg0UVnuRB1PPBsQRxoEhPsJDd3lIGBKvRWHUzywp6GhB1VhxhBN0oxpGRXf5kszbh8R5WyaxMmmvsPTKOVwrNM+l0TIQ3QGZ40uGCbz0DZJghiyga0wwzHtbFlwOF6k76ST3/ZoZ4opCHwHZMhz2L/RJswTtGpxjHANSU7Ky5SmDw6XUelGaYJtoLMAt+zOadSYhRomRlCm6RpihlrXAMqvkXNL/ETF/Sze8AnTEwaQUafl/sEoySjEab0lDVhpqnZubbVjlI8UzKlFL5n56YoO7/usdYMVMvEqaYbaZSK52Iol6bi5IEi8Vw03vw8ma9YUXPAtSX1MCUJ0zygwRJYjqTimfiORW/ZxrUsxma7uFJgGZJn7+5j/1Sb0XpInKTs6ivRiTKqrkXJsUlThRZQsiRRojCEoMcHbdj82I4q5/Tl13SkHuJYZh6p6RqUHIuBiovnmqh2MO9CwmA+ohEGyoJEaEyOlHVCHLk/Bks+E0rQ4zsYhkGaaiqejRB6LrUhY3vNY1e/R1/JYryZh7N3k5QkyegvmRiWSckz2VYymfRsolRRtiU1H6a7SwS7aAj0XAklldd+DFhZOo1F/ptXS5LpeozjSAZrPkNVF8eQoDXDFQfH8Rmrh3TTDMcwsIx8HKZYjWhcG6sWWGEY8sADD/DsZz+bF7zgBes6mNHRUbZv337c8/PPjYyMLPvZ3t5e3vGOd/C85z0Px3H4zne+w3/7b/+Nu+66i7vvvvs4IbiYKIqIoiOXvrmOhdLKnkOf7/K0HTUmuwGmm3tp+zyDqWaGJxKCuR1df9lmoGRiS4uyI3EtSZKpFanZSaYZKDk8Pt6i4toEccq2qkPJMREIGqnGd0ymo5RmkORhv5ZFx0mpeBFhIqg6EiEkQ1WHOFFI20Dq43NNDPIgj+Z8yL0QuCK/UXzyKMjFHjDPJg+QcG16yw6+Y9Jbcqh4Jp3IohFm9JYMbFPkBW4xsfsMTCDKMnZWHaSUKA0lR5IpaEQh9TAjISNONbZlYdkmrm2we9Cnz3P4N6WY7EYIkWsZPWWb4WoJpTVPjtXzCC5gsCrYPVRhqOyglGaqE+HaGXGq8AR04pRex0TUHLSCimvh2pJGmDBQcfBsk2fs7kFaBgIDIRRKK+IMrr5wGGmNI5UkiBMMNN04JU1hstHFNARVx8xzukp2rkFaAs+1UJnGcSxKriRBo9KURGfUGyG2LdEWlK3cpNRXsSn7NvVOCEqRJCkGGa5r8bRtFQZrHs/YWcO1TfbP5JnVniO5tNbLTCtEZxrXNhmqOUgM0jSj1Y2Y7cbUSha2KYlThdZ5XpydpTgyDwePVYowBDZ6WTPU+dt7GG91USomjHPTlta5edyRoAxBxTVBVahbCZ0gwNAGNd9EIfBsA9eU7B4o8/ChWZQQ9JZdKp6dVw4xBCkCYQgcU2BZEoGi5Em2lR2Ge31G6h0w4LyhHnb2ljhvsMz2qosUEKV1prp54ree89/aUmJoiNE4NpTCI9qKZ4Pl2KTRkeLLHnlVlFLJZfdAlcFU4ZoGtmVQtiQ4BvVOTNW1qJRtwijDMyX9ZQfHlAyUNZPNhJl2F0MIUq05f8DGkrl51rAMpFZYpkmfX2bSbud+pUWEKr/5Yp374zCglOX95ZbzNM+XSssDimx6bJfA13SCmExpBssOicoDSbpxQqJgrNHFmmudGcUwHSY87m18w7RVCyzXdXnPe97Dxz/+8XUXWEEQ4DjHx6XNR/oFwfKNF45tHvm6172Oq666il/8xV/kk5/8JO9973uX/exHPvIRPvCBD6xx1CcmjOLcHGUKBkseo402aappp4owzbAtqGUwWJP093iULJuq7+BZJtvK7optwmmmmO3GeFbuYyjbkqrvMNNJSVNFvRPRTTIypTAMQStI8vpy5Hb4OMt3132uTZhqhnyJoQWubVEmoUsuVOfdP0ILfCsfm23mDRjNuZvH5WgHvGUa9DgOhoZkruqAKQ1cy6SvZFNyLAyR++Hq3Zg0y3AtiZR5FQDfs7ClQZopunFGO0poRwmHpjqMN0M808K3JQMlG41ie3kuuGS2y75JF99ro7Wkr+Rz8WCN8WYX1xK4aDCgVnZ5+lCNXX0lZrophxpdmh0FhsCQeaO94ZrL9r4S7TBFGoI41YzOBiglqLkGwyU7j5o0DCxDMN2J8yhD3+KcWplmmCBE/r1tKeZ65IJvGSilqfoujik4t9fhyYk2pWaHLDOQhkKlkjTN6KQCR5gImfvtlYIoU+yYK+/TChKsuZqQ2+OUqp8x4OeL9SXbSkjTwJSSqm/RDiNMI0/cHu6pMduO6fNteh2LREE7SXFMk21VwWwnxpWCOM3nVZgqhDQIU5BaE8cZWliUUMc1iZyfD0O+SzuMaZoxZpqb0tI0FwBKg2eZuFKyc8jnUKPLvjRGIxDCoNezKDs2A75J1TW5aEdtzkwqsaTAEuQ9vKSBZUiEoUjSDLTAMyXDVZcez+bJ8SZDNZ+qZbGt6tHjWfRXPeIkpVa28GYlmbLoxAIDA9eSOG4evOQ4ubbSzgM+iWKIo5hkrhVORr7w91Utzu13qfiSbY5LJ8zvyZ19PkJA1bWwTUFv2SbLFGGqchOrAKUFGCDmNoM9SvPERIvBisN0EBNFGZZhUDElqavoLcHUMQLLII8kdLK5Gp8iF2K+yGtXHktNQNXNg5BME2plj5rnUo9TlBb0lx1cx6JqytwakgnQCY6QRDLlvMEy33lwii4wPrvxFXrXZBK8/PLL2bdv3zoPBTzPO0rTmScMw4XXV8Mb3vAGfvd3f5dvfvObJxRYN9xwA7/zO7+z8LjZbJ7U9LhS9k51+OFInShVkCpqjoMmz6+KEkXgBlgxCK2pOCaDNY/BmkvFlgz3llYssDSCmm8zmKYYQoLO5oITEhpBSiOMGPBNhoaqVHwLU8BoM6Dfd3hirE0nBFNndLOMS8u5BnHeYIWpToeZRgJJ7pA1YjAsqPkm7py5ssd3KZWhMzPfOTiv1NCYq0JhCkmiMkquTag1vaV8A2IIqHg2BDFJpnEMjSkFfb7FdCfBtQ2iWNEMU7pRQpRp0AqFJkwUjSAmjGKUkjiWgSEFhpAoIal6FhXPZLDqMdnyiZVGqZTxVhetNP3VMlONFkJApxsTJxk1z6TqWuyplEhVgGsJ4kwxXPNzU4ln49l5C4XZdshQzWO6GWJbkmaYYRiCoZrLRDOkGacYqUQaBonS9JVsdvf7eGb+uzmWQdWxUDovdhvECSXHRos8OlRikMbg+nJOuzDpL9kolTAp8gaG21yLWtnn/IES5w+UCJKMyVZEM0hoBxlWGHLhUJltNR/TNun1bHzXxrUEOoOyK/Fsk+GqS6+bV90ebUV4pkE7UpRdyWgzIk5SYsum7FlMNiNsISi7Jr2uTTNJkVJiaL1QHuvYO7jigjcXHp+q3Cw4b+l25nyLQkocU3LucIVE67xhZ7uT5yy5JhcMVqj5JjXP5mmDJdIsN3e244wwVVQ8k5Jv0V+2Kbsm3w0SplshEoFjS0yZm1zTLCRB4VgGrSBlphXRiWJmmwlhkhFkKfVWbjqfcG0uGiwz4znUfJtpFVPSuR+01zOxHRMlQqzOXM1JF7b3ePSUHLaVHfbNhFimxLPznCbbkfSWJJ4tqLkOrTAmSDRBnNDnm0gDLEMzUPEYrgmiNGGmEzHS0ASRmsuzFJiW5DzPZqYdMtCJFoSWQZ42k2ZgeWCb+SYvSfL7MonzDWfMXAi7Adt7jTzXUOR6osoUPWUbx6lR7wQMVhyUUjimhaEN+ioO9U7CYA/sMDwMKRDM3eebUNhoTQLrQx/6EG94wxt48YtfzEte8pJ1G8z27ds5fPjwcc+Pjo4CsGPH6tsv79q1i5ljnTDH4DjOkprdWlmc/K4FHJzqYknJYG+JbhDj2iaWFJxTKfHI9CzNTkJPyWGg4nLxUIWhmkd5LipnpSZB3zZoBgI3DyOi0Y5ItCCMUnp8Scn2cG3Juf0e5w1UGJ9ts6O3TCOIkXo6r4iQgak1o82Y821Jxbboc12qpW7ucVZzhWBNsCy50Civv2xRcm16vBjDhJJt4ZgJdjd3nvfWHCqOhW9ZVH0Lz5Z4tsS3TabaIVPtBI0iirN896oEgyWLdpgRk2IagvFmyLaqQxBrbMNgsGRRsi3QEs8UubNc5ELQswx828Qzc1+gbQmyBNqRwrNTUHrBca0Ng3IpL3AaZhrPMqi6Dn1JQsXN6wOW3Xys83/zPHtnDcs0GJsNiFLNgZkuYapphBFCG7gi47HROvsnGmzvLXNOn48pDcI0I0pTYmmgUQTJ/9fen4dbdlXl/vhnztWv3Z62zqm+KpUe0tEkCJooV4KiV+UBkasSRBEfrope/cEDyEWuHYiIj9erV5BORANGEZX7pVMgIUhrIATSVlJ91Wl3v/q15u+Pufeuc6pJqjknVUf3+zx5kuyzm7HXnmuOOcZ4xzsKjjUipioOnmXgOxaGIbEciSkNttfLjJccEAKrbVEpu9imyZaax2TZZ+ekp6NdBbM1j4prcrgRUZUuvaRACh0JjZV1+rIoCuqe1p30LIlrCnpSMzVLtqQRZriWnpOVFQXz7RhpSMqeTdU1saSmjW+bLBNnGVLlzHUSpMgo1MlKIkppvciUnLRPQnEBJcG39GTfWskiyFKSKMWQBqnKkYYeEuhZBrN1nW1I8wLL0u0ecZqTJOkw7T3l21pxXmVESuHYBolSWrIp0geevCjIC8V8K6LsWpimZLmXEPbDPRMTyxLEqdAtFwgmqz7fPryIyrXNUyUTyzGZKbu0LEmrE5CihXRrrsOOiRK1koPdTvBtg2rJRBqCNM0xpYFvWTimJJS63mlaFlFeIBSUPZvLXAfDgCQtePBoS5PXyg62I/ANk5mqz3w7QlLg9GtmvqkZgp6rU7e2aWBagjwqcG0oJIw7mj0q++SXqqMPCr4pSPOCsuuwueqya7pElBS0Sw7TdQfbEFrGyzMp2QZCCEqpqSNG32Z8HEQAk+Nn1oJzPjgnh/Unf/InjI+Pc+utt7Jr1y527dp1UvQjhOBjH/vYWb3vddddx2c/+1na7faqmtOXv/zl4d/PBkop9u3bx/XXX39WrztfuBxXs5isOIz5FiXPJs0L0pKeXHXJdIVenICUPCCXdGpD6h6oHZO6rdWQ8owdlmvrPqAjjR69VCtve67N1kmP2ZpPK0pwLQuKnMVOzIFmxOaaS8mSGKbuO6lIELZJlhV8fV8LUxSkuSIjR8l+z02qmURBkpL1mwQ9y2BrtYIpQ10gN02OtDtkWca4Y7O55mrF+LrPTNVh81hpOEY7THJQBUlWECYpc72MmmeSGZKZmkMzktimyVTFpuTYFEXCcpTqBmBXMlV3QUkmKw5l22TrhM9UzcMyJLWSS83r4VsOYRqR5TlCSHZMeix0EmYmYopcsnPMZbrmUHN1rabq2+TKZ1PFZXasxOQphmhahsRzTHaPe7pdQQgWuzGFgsONkImSTZblHGz0aEc5lTCj4krGSzY1x2TJ1LJbJSdHKYVb0alHx5JcNuVzeGmMIy0DWWjatWMZ+J5FeiRHCknVtrlp1yQVz2bLmEcuDOplmywvqPs2XxcNlqOM6YrDWMmm4ph4tu5RciwDhCQrcrLcYP9y0J8BJfAdC9eQhLk+7ed5gWEIhCHxTANDKFSqBa7SogAhGfddUqWYb0Sk8XH23wCm0DUq33SwjJA40ymrqg+eaSFFTpYrKo6D6Rp05zNsQ+tHVlyLumOsOijYprbFNAxcR3/n5W6ix94XmkU6XXE51o7YXHXxbItcCCZKJguuiW0Kto1pwdwky7VySFYQqYK6L4gSUzNKBbTDhCgpMCwDw8gwCjAti61Vn631Eo8udym7AUEK1YrP7qkyV8xUMQ2BaxpUxz0213Xr+rF2REFOlOV4tqGZhaZB3bOpeRadMMGSOtU+VnKIsxxpamX5hVbE0WZIWmTMt3ooIYjznKLf5OxYUCsJkjSnSAFDYUoTw8gIC4UtwDIEk1XFYlOTMNohlErgOTbbxkp4hsXlMxWmKrqGXfMdPMdgqmTx2HJAGOf04hzPNDEEjJcdHNtgZ71CVoTsnqicxS55bjgnh3XvvfcihGD79u3kec4jjzxy0nPOhVL+ohe9iD/4gz/gXe9615AuH8cx73vf+7jxxhuHaboDBw4QBAFXXHHF8LULCwtMTU2ter8/+7M/Y2Fhgec///lnbcv5wDG1AgDAjnqF2fESniUxJHzhoSUWOj2aQaYZW1lKRVpYfTaQaRp0wrQv1wPWGfZhWYbUqSPHwpA5vuVi2xYzZYttkxWOLveY6yW0ezGWmdEMMpTq3/w2lCO9gUyXHA4sd/EsgzDT/VuGkKSJdk5p1k83GObQxrJrMlX2KMiZ8Bwsw2S5FxOIFNOQXDJV4bqdE0yUHcbLmvk4cMKWIXBtE0NkzLcK0jQnN3XK6bHlkF6YMl0VVFzNEkvzAjfJ6KU5aarwLItx19YO2zOZKDlDZ7ip6jBdtRkvOyALJgqTmYrDTNUjzQXNyKXqmEzWy0xVbHZOlgnjjLJnkiuHTVWXinf6U2PJtQiSQlPCgwxHQC/OsKUeK1/3bGYrLp1QFzoenuthWxZTVYeDyyEqT0EIPEtiGwaFUkgh2DpZ4ertKRxSHGp0iOKc2brJtvESjdk65VZA1TZwbIPd05V+hKFIcp1em2/F+I7JDkeyaczjkqkKCIFvm6R5QVEU5EVBlikOd3taSdzSNZvJkq1ZgFlBEKfUPIv5VkyzHdELUhxTEGWKsZKgF+YYQtDu0/sdG4JYE25W9hgaNqCE7vFxoRT3lVwQjFVslDTZ7JuUXBNTCSQKlMQSehyItWLgmmVIZmq6zzDJFELAkeWMKFM0o5ydhkABezaVdapSKGqeyXTVwUBRzAjSokAp0R+d4tCJUqQA3zIpCsHWeo3lKMKW+vdUSuDaBj1D4pf1ferZBrlUjHsOjmsjZIYhJZ5tMjvm0w4zZsZdhNI9lQCmFPSynDFfX2NTaqcWZBmlwkBIQb1s04kyFroJEyWL7TWHw+2EasniQKNLJ8op2wa+bVDzfdrdLv2WQ7Jc6mslMwzT1CoUhcSxcjAkJd/GMiWpClAdnZb1TJOd9RKXzNYoOQYlx6ZsmVSqFkGmmCrbxGmOjaCnNEFGWvp9DVMzIKuuw6aawBAXaYS1HvUrgBtvvJEXv/jFvP71r2d+fp49e/bwgQ98gH379vGe97xn+LyXvexlfP7zn0etkAXZsWMHL3nJS3jqU5+K67p84Qtf4Pbbb+e6667jVa961brYezqIFRQ5YRR99h0s9GIW2iGNOIemdgr1kkOa5tTKLq7UVPQ0V/hisKGfWQ3LMiRCCHaOl1Bo9WffNkmygnaQcqQV0opzrXIuJL4liXKFJWGyUiUremypl9k55eNYJnPtkB3jNkEKh9tdmr0QdCkLU0GcFYj+luQ7NtM1l04cI0yDyarDlshnoRMipMQyDDbVvP5Gs/r7eLZJoeCRTshCoKfvbqo4RLlOx3SiDMdOSPqR5kTZJisUMtKkhV6cMmEbmJaBUprMMPiMqmdTK7lcvb3O/QcgTDOmai5FX4x0e9XH9Symqy6epRmMpiHZPuHR8U12TpWHzu9U19s2JVVPnzbt/v/vmS7TCPXG7psGW8fKHO1E2JZOfx5ejojTgqmax9FlrbAghNAp2f7vYxqSLTWPh4/1SFMIzJRx1+SSaZ2CcywD3xLM1Dxqvo1v61qZFHCsFZEBs2MetoRLp8vUfBvLkMOUmm2ZTJZdglSnUU2pU7Q7xkuUPc1KKxT9qdWGrikGET6KRpAzXfFIswwhFPO9SIvO9pX/LVOvDyuHVv9aFSnEWUbNsqn5DmkYU/FNNk96jHsuZcNgrObzlK01ChQl10bKHmOOxXTZwbUkQZINv8MAjSAZps7DJKNsCwxDs2tLrkEjiKm7Fq0wYftkGdfSwsOLywll26BkS0wp2T7usdhLcVqCZk8TVyq2xYRnI6VOjYLCtQ197U1JxdeTg6UwqFck3Z6JZ0qsPqFmvGxjSM18nap6dKOEsZKNmRRUXItGJ2I5SFFFhm0ZtMKMumto1p3IQArmuylxmpIXgk6QQQY5CQiXLeMlBLDc6bLU06Njpusmnitp9wQGBWmqNL1dGDiOQcVzKVuCIE6IggzHgZkJlz2zVZ65c7yfuRB4jkGt5FAuFKahmYAVzyAX+hiSFTmu2ZcrUwrftfHCjLEz7Rk9D6yvtO454C//8i9505vexAc/+EEajQbXXHMN//zP//yEjMSf/Mmf5Itf/CJ/93d/RxRF7Nixg9e+9rW88Y1vxPfXYz7q6bGy56HiOcg+wy1JtRJ1N0wYsy2yXOeat09V8GyD7eMeVc+m2h8pcjbKx2mue3k8R5/+mt2IpV5C1enfBFlBEGVUHIOSLznWVriWHsC2e6JMWii2113iXPchPbVaY3PdI0ozjrVDgnSBMEwxY0UuwTMFrVhHXVVXq2bff6SBkWQ4lmTnpioHmh2iJGe5F5OdkNpM82KY7rRNiSslotD9ZAqYLFk0uyGeY2oCQr8oYhqS2brH4cWMMNLq0KZjUXFMzR6MklVp1G1jPlGaE8+UWeykpAo8KfrsRI+rZysEhW5+rnk2vm3S6MXUPZu675z2wDDYPB1LT+oN2yFjnqHbC/oN1WGWc7QV0AtiKBS2YWIZCt8xqKQFXccmLxQIgd2XE+pGGZtqLuNll91THs1OhGFApWRT9Sz2TFfZVNXp94prYRk6k5EXBY6tU1mqUBhS4TkOjm2dtI6CKCErFFtqHgKI0gLfknSTnIqnsPqqNZ5tUHdNFi2DrVWfZpwz5hr4tiTKYbET0E1zbEMy49kcE23yTPcAraxhiT6Lr5MmZFlBqaTXx9a6R833mKo5XLelRr3scmy5i6JgpuQiDZ3ynah4FOp4PTfNC1pBxtFmF4RBlKT4toVtaYchBexfCvncdw7RiuDRY2PM1ksopUfX5Eqx0I45uhzQyTOevmOcWy6d5EAz5OBij2aQMKkKPNum5JocbUVYwiQvMopCHwZNQzBWdlAqZbNfYVnGTJZczL7Tqno6irIMfZCoejbtMMMyFGGSs9BLOLQcgNJ7wFQ5p+ZVqLsGjy6kNLoJ02WbXl4w344Iw4S40Eomvmsx5lu0QptCCUz0mqr5LjNlj8MqpBmEJJmuB9bLLtNll3J/zxnzbcI4x7cdfKH7zaRpsmvCoRGklF2TLFdoKpfCEAohBUWRU7Ik0rbJld6flBBcOVPCtSVXb1//qR3n5bA+//nP8/GPf5z9+/cDOsp5wQtewM0333zO7+m6Lm9/+9t5+9vfftrnfO5znzvpsXe/+93n/JlrjZUsKds08Ew9adaSJoYl2Vr3qdgG9ZINCpZ7mvoa5lo66cTi/pkgTHR/Vd23sAzJ4UZIO87JKzabx3ykEFQ8ExNoBgmGEDimZKJkcb9lMF6R5KZuDpTAfCeh6ulZXjsnS3SCmIUw4vBSlyyGXpRT6ps4VnbYPu6xf6JCL00ZL7tsrtkcWOrSizNc8+RNP80LXaAXUPN0D9GmcZcwypipuYxXPLZnOYWKsIyCMd+iHaY4lkFRFKQFeJbNfC+m6mj2XlZIgiSnFSZM9lsCJisuNd9mU8nigfkeEyWbKM2ZrsB0zWOs5GAGMYZhDJ3Q9skyvTin5Dy+DmWaFyz3YhrdBIGiHefM9FPhpmlQJDntJCZJc1xLsHXMZcdEhYVuiGcbRFlOmOQIpXBNqdXh+1mDqqdHTpR8i01li8mKh2+b1PwCu78pmoYkTHISWVBydJq14tnM1BXtRI8vGRBjViJXAikFUki2jZU40g4I4pySowkJlqEjGqU0m3XHmIdlSibilKSATpDS6ET9yNFituqwc6rCgUaHMA6xLYNM5XT6hSxD6mgtzQpMaaAsydaaj2fpwv2YLdg8rhmx86bJJdMlvnkw1S0Npm59kOJ4tkE7AUWSQVGkHG1GLPVScnzCJCck598fW+BAvy3oCw81+Lnvy5Cir4yfK7I859tzbcI0J44zbtw9Sd3P6ZVSekmBb+rrlOcFptLzzKRQJHGB8nS9eXPNpeKYLHQjEIp62dZOq3/9enFGyTGHUbptQC8G2yxI8wyVK3IU0yWbkmdjSkk3LfAsSeZY2I5FHCaMuTaNdowtJa0i1iN1VP/mUYoUfWCp2hZVz+Zwp4sqhGZ8oSNOz9IMZN+U5MBiM0AgMW2DLFfEcUrVNZkoO5hSZz6CJMexDJa7AYudmCApyHNFxTeo2JKyY2mCjRBUPGs422s9cU4OK0kSXvrSl/IP//APKKWo1+sANJtN3vGOd/BjP/Zj/M3f/A2Wtf45zYsRPjBooas6WpY/zgsyCsqOTZAESEPi2AZHGgE1zyLOFdt9C0OceRpwJRQCp8/c64QpRxoB3VSftDfVS3iWoCgEtilohimdOGOqP0c8z7S4rMgLwiQjSgsqjkEvztg2Xmbcs6j4LlGWIZRO+9imoOTp19c8m0umyxxuBjR6KVMVm0tnx3jeU3IePNbjimn/pFrQkPHV/64V16JkSGxPS9L4toFhGJQ8SZZLDjZC6q5WKwjzgk6U4liSTb6D60omfJteklNyTNJcDT9j8P617ZPsnqkTJBndvk5a3TfphCkFWkZsEPUNDgxP9DtESUYzSCnyHMPQqn2tMKXkSLaXbbLc5LKpOoeWOvSSlPuPdLl8c52So2szOyeh0U0oCkVSKFRSkPUFhYNEq0+UbB3BTVe1A/ZtrVIu+yXiIM7ohLq3bfCdkzTDMwW2KYdToVde9wHdOet/306olf0Vuu8GdG/UsXaEY0tUIdgx5nG0E7LYTpDoVKw0tHK+heDQUghC06otSyL7smwGmhCQq4KqZ9PJC2pSMFFyEELrW873Upa6CdNVV7P/xkoYQhClBXXfwjvhAKcnBetUYVFIGr2UMM1odhIMKYmSjP1LreHzewo82yLLc1QOhikxMoNMRUSJQBWw2NXHzLlOgpDQSTImKj6NXoJtm5Qdm56X4Vl6yu5szaPu2czUfBpBylLJouaYbJnQhKks13WyATEJNDHKyxSGgNmqj5AmVVdScx0MU7NdoyTT5BjTYqpsYUvFEoLpqscDc01KlomSEkNKao6B57h4RORKEWYpJc9itlTCkAHHGgmWKam4NpMVDxBM11yUlLSjDGkoZmoOEyVdq50oOwRJtmL9ZwRJRpxqzUBDKkqOoZXobZOJiqtnpeUF7Sghji7SPqy3vOUtfPSjH+XXf/3X+bVf+7Wh9NH8/DzveMc7ePvb387/+l//i9/6rd9aU2M3CgZbswS6cUaUaRaUa2r2j2saWJbgyHKAb5lkCnaOuxRKDPt8zhY1T6eHwkSPBEiAKElJc32jWqZBzbKwhCJMdNFcSkkvysky3ZBoWjqtoKKYIFVUPUkvyamXHcZLNotdnd4wDIOJqruCGCKZqflcMVNlsZNQ921qns2Vm8e4bKaOIcVJtaCVzqQVJphSkCut2NEMErYpzT60DUmcJJjSohVmZErRiVJ829AkjELLw/iORdWz6MT5ME12IgY3Yq3P2NREFRM3TKl61qqo70wi3CApsAyYqHmUbIs4zXTxOy3Ile4nu2HHGP/vGwdZCFM+8539/PiN28lMSZLmmqxScljohhxsxGypOth9p9QOU0yhRVT3TFeG9pzo6PNCkRbF0EkDSGlQ9WymKu5JDMcBaaEVJhQKFjsRdU/3f01V3CExQwpwpGA+zKn5JoZhUHUc3HET3xYEWcFyL6RQguU4A5WS5HpwpisFjf6JTQJCGniWwWTNY6LqEccZJU/XQLKkQCCIkxQpXDbVfCqeTc23CdOcifLJ8mRpXhAmObN1LdEVpxmPLfXw+lGQZUqUOk6ur1ngOwadqCApCtpBRpxlXDo2RjIB120fxzMlQZBqxfxC4RuSCd/CpOBoK6ZsG7hVTyvXlLV93SilUFrFZXO9hGsqTKmdlE4JZqts12LC/eGewFTZZttEmcmyQ5oX3H+khZCC2ZpHzXeIkozlIKbsmTS6UDJNlpOEXhhzcDlkomRy2WSVuUaEYwiiTLcQuJbBOD55KnAcg5mKTlXqqAyumq3QCRNqrsk12+tsGS/jO8YpMzuuZVIvOVwqJLkq6EaZVnNX+sBmGhLHNinZFkKu/2SMc3JYf/3Xf81tt93G7//+7696fHp6mre97W3Mzc3xwQ9+8D+twxqcMwqg1Ut18dVSJEVBtWSS5Rm+JZHCoBOlbPJsDCGo+9aqjedsMFhsQZLRDhOmSzZlx+qPc7eoew65EpiyoGxbHOnGGBQkUqeAypbBWMnFMQRlU5CbBoahWwNyFGMlG1dKJqs+nmty3dbaSU6o6uo0QtU1+wSJ4ye2J3LCaV4Q5QWdKKHqeuRFgWubmFKgpKQVZkyWtORUmilKZZPLZyuM+TaF0qK0mVJ4tjG8hivrZCs/f1Xk5dnD77Hy+WcC2wCUZKZk4boOYSzopfoUapuSNFdcOlvjcF+g5dGmHuFedS3mE93j1EgLFjoZy90IR8IzPLNvn+CKmTpBkjJVPXXDvNXfAIWQQwKMZUhKjsQ0nOGB4lSvGzjtotB6e65tDqOrwXPioiDJtSBtJUyI05RMSa6YqTFecjiyHHC000Xm4FiCOCkwDZ2e1rpa+vBW83WP4aaaS9m2WeyETFd9lFBc6pggdFp5sFn6tslM3Rv+94m/x1I3Yq4ZUADbJsrM9SLmGgGepaPEsmuyfazCdxYaAOyc8TD6dctmL6YoCrpByljZYctkieu31amXXUzLZNOYSzfOGS9ZXLqpykI3RAlJ2TEpVMFUzUcqxXTNI05TemlO1TGZ7v9GtmkM7T7VoUcgUEIgDZ3aDuKUlqGJQrqZP2ZLzcEQijjV0k2WhJJt4jkmdaG01FovYrJSZazsMlE1iBMdcaV5znjFpVqAb0iEVFy7vU5SKJbbCbbU0enTLpnAEoJLZ+uPe39GacZ42WFTzevXDhMagd7hVF8RclPNpR1lVPz1p0Sc0yccPXqUG2+88bR/v/HGG7n99tvP2aj/SFBSy86gFGNS0ugljFUcXClxXYOipVBSy/VUXF1YPx8MoobZqsNjjYipik1eFFQ8iyQr8B39GWXfIU5z5loBhm1g5AZSQJTnPHAsYKpsMeGX8SwTW2httm0TFQwDPNdk+4R/0iI3DIOaZw9HzZxpLW4QUXimJLctPMei5tkcXFziwbkuUil2TpXxHa0sPlYSmqziawZYXhjMdWLqvkWRM0x1pXmhySZJRs2zn9ARnejYHg9pXhCkBXGecawVYfdSHEMwWfYouSYz/Rt8ubtadrTuWxSFwjUFexdiLEOwd65NmOTUfRuvf72qnu4vklLgWsaqzx0QEAYolMLrD9O0DMmmmv+4jjddcX2Wu4ke9GkcZ1cOPiNOMsJER+BibDDeUjHfjkgBKQqEMCiZJlduHiPPBI8uNJF5gWtBBfB92D6m+5Nmqg5lz6YbJrSinImSpZVO4KSU3+nYmaDrcgUCQ4Jva5WRTpyy3NOq+XlRcPnmcfYvtpCmx3OvnCXLFTXfYrbu04rmOdjqMl31ma15OLZOh3m2weWbqjqta5uMlW18R0f57TAnzVMMaTJZttg2XiJOUppBRtE/0A06eU635i1D6ibeQk8iMISWnjKkvu5LvYjFbowjFZvGSrhWrg+dhiRIUnpJTp47tMKUnALXhGrFpuw5WmrMsSi7FmOeRckxaNUcKq7J9skKUhUs+CmzVYfN4yUtEWYawzTz6TBIPw8je9Ngtm4SRFoZpepZxHFOnOXE8fpLXZyTw9q6dSuf+9zn+IVf+IVT/v3zn/88W7duPS/DNjI8GzqJPl2OOwaNIGHSt0jRowHyOMcwhRYcNQwsKZio+GwbP9kJnCkGG1A7TGgFGd1MsbnuopCaHZVrpeggitnXS3CkQiEplKLTS2mFCe2yriX0ooQ0z9g87mObgl5WECcphhSUXIfZmotzivqkZ2uB2tOd7E8Hy5CaZGAKMmUw1qdhN8IMQ0iyIuurb5uooiDKEp2ysi0myzb7lyIqbkHds3RPl5TDyC5IsrNqwD5TpHmBIXQv0EIrRhqivyGWsKQY/h5BslpZL0oKclX0GWSC5SDF6KtrGyvaNHzbpGUYFEXGfCdml3P8Vo3S7HhPldIb94nX8/G+68AhtcOUME451I7YOe7TCq2hYw+SjPGyRzvSozt8S9JLEpJM0YhSDFNSIKm6FlMlm90zZQoK2lHKcqdHFBa4BtiG0KocY/6wreFUjdhng/GyQ6MX00tzDjcCwjAiiiFP02G9y7MFu2bHqTsGT9s5jm0KwiTjaDPgaCukHWa4VkKYZuRFPrQrSjKklHoGV38dVjyL+WbI0Y5Om05XnP6BxKHs6dSq6JOHHu+660hGE1vGKwZCKEqOSS/SuonNXkoQ5zTCjCTNyApFxbVACEq2oVsysoJ6xSHLtP5kmkfUHYeuTEEpXbesumyqenSiBM+x2DmpCS2zK+pToFtTngiDtRYkGXFWDNPtvmtT9OfhNcKEJC3oxBdpDeu2227jzW9+M/V6nV/91V9lz549CCF4+OGH+aM/+iP+9m//dt3EZDcCBsN6TfTI9rlmiCcVi4Ge9iaFDvEXu3G/MVH2lZCzxz1ZPh4GC+poI6Cb6IFwnmUy4es0iSk1k+iNH/0a9x+JuXzG5k9++rvZv9ghoyAVum9otu5ypBFQsiVZUWBIiaUUJUdHaJssj06UIU+SOKVPC39ix3Bi6m0QLYyXPdzkeA1qqmTTChLqvstYWdfMstzET3LSXLHQDkky2FS1qbraWXm2wWDfX5n6WuvBcpYhmag45EpxpNljuZfhSYHZn3HVDFK6UUpeFGwrw3wXttX0BuBaklacYRsGM2VJnGR04pSKb6+KnCxDgJCU7dW2u9bxelZR5FpGR6RnlHodvC5IdDTS7DPZWmFCOdBR3SDKcww9RBEh6MQZeQ5hUmAYkijJmal6LPUixmoum0oO7pYaBxd6tIIYw0ooIvoq+2szdkIfAPTNNVX1yJshnTgjyXM8Bwqhr10rTIgy1Vfod9lU8zANPcerFWWkSUKWKXzbYqrqIsXxA41C4Jia8DPY2GueTSdMmVYuUkqq/Xt0cDBo92ugZ7LudT+ZIM/1IVLPqUsoUCghcC1JxZbYlsmYlESpZuqZfWZkIRSbxzwMIShZJkdaIa7dHwZa1jVIx5JsnfABf9WaWBlJDZznE9k8OPyBbgYfRGRL3YheXFCojHrJIcwUE9XzO4icCc7JYb3hDW9g7969vOtd7+Ld7343sh/SFkWBUorbbruNN7zhDWtq6EZC3k8NhGiB2VrJYiHIsCR0csVkxQYhiTNdHzJMQzNtQn1COdON50QItOq6lPqHHSvZOKZB3bcIEq1k8OX9mg311YMJSZbrCcSFQooc15FcvbnOppLNsV7KTFkrS09UXColxRXTPg8u9NhUcxGnUOA405TaylSdZRxPidimJOk3K4LWVds5VSHtS+7MtfWIdMswWA4igkirUmSFpBPnLDR7ICSOY7F1zDsrm84WgxN5zbM51gpwrRTXkZiGICsEaa4dr2tZjJcdOnGM7Vh4ljHcZC1LIJRgsmwDAtMUw9TLYAMtO3JYKxhcu8EG6dtaSLcXJxRKnbFjHlwT2zKZKtkshwlpMdhQBYXKSfOcpSBDCkkvzhjzTFpBTK50inLnRJm5VkiWFbR6KXFeUPUcZsd8FqKY+ZYiS1PSTFOhz8a+UyHNtdhxkiksQ5OT6r5FruDyTXUK1eOK6TJprtXPS5bEty0EgmaQUvdtSg6UbEnZ1fXcCd/G6jdcD+wSKOIsp8LxLMEgyjKkHJITVtplm8aqg8bKv62soS51YzpRRsU1mSi7LHZi5tshrSDBsgzGyhab6z51z8QxJalAC/ImutaVZFpAq9zvrcsyfXCbrvhM1my21EsIFL4ph5/5RH2ET4RulOJaRr/B/fjrPNtEKR0FjnkG3dhiyr9IG4cNw+D9738//+N//A/+3//7f6v6sH7wB3+Qa665Zk2N3GgYq0Cj2Rf4LBSuZbJrzCUuBNMVPdbdlAKpCtpRTt03sUyDINYzmCYrnHWkNTgxVT2Tw82ITCkavQS/T2sWKKJ0dY45yXKCOMcxDVqxQBSKLC/YNlWhVkqx+mNAZsd8EILJsq5BHGpG1NxzZwQNTvgDR5X3UwumIZEqI0j0jZ7lBVGaYaAHTLqmZoH5tuRwI6OXKrpJhGdJ0gy6IcyOlRBpdsoNZD1gGbLfi5OAEGS5Ftat96OlRjemEAWuA65r6LteKcJUC/1O1TwagU4rWebqGtJAlWIl5/HEDVKnU7WK99k4A8uQOKbu20oKgSp0hD5ZcQiTnCjJaYcxCx3NJoszHVmJAj2vyzHpRjkLQYyUEGUZJdtismpzgzHFXtPgW+EyGZJMFSx2E5wV1PuzdVzDulqaYZvWsMk7SDJuumya8WqPnRN6rasiZ7LmEGeKsmsMFXEsQ1L3HU0MyQuWgni4zlqhbkIfRFiK1UzT02UPBjacqg608ne0DDlcz5aEINGlAs2OLTAKA09qEs1gCkKaa+HeLM+xLBPHUpjoA50hYClICKOcqmdyzeY69ZJDq98UvtCJKDnmeaVf07zQrMdCDdVUBrAMOazZRbmeZZau//zG82scvuaaa/7TO6dToVSyEM0U09BRw5Yxj10zdWqeTStMCOKMRi9hpupRLym2jWt6bitM0ETgs8dgE3AtPRwxSTNKtklS6Fy1PpnCd+/0+M58yJ4Jl6Veqk+rlsGWiocQgjDNMQ3NcEvzlE6YUnYtar6O+sqezU7TwrXOXitypa0rU3VBkvXFb3UxPUzS/rWAsmNDkRNECUoIxkrOsC+pudDDloLDjVjXuFx9ECg51rDGcyqW4FqjEaV0gpRunOGaJptqOvJa7EZkhWDXeAVVROyqVXAtPbjTNAxSoYdPtnsJzTCh2pHDPrCB3Z1Q1zdKznEG3coNchCNny1hZPg5nj69N0MYK/cjexuCOKdQAlHo/+5GKVmu++/G+pGJZUDJNnQtVI+f4qmb67SjHM8WLIc5vTTVmoyOSTvMKLvnlqLVzcJQLzk45nGZKdcyKXs2Y74eH//oXAfHMthcdRBofU3b1FO240wRxindJCdMMrqR/s0MKfCijDTX0Zvsk1BO/PxT2fx4xKKTeg09C9mP6AoFvilYDhV+f722ejEkuieu5FqglK5lIajZevyKbeiew6xQZMB0zcEwJFNV9zg7VqmTesDOFUb/YDNYk6BTrsvdmF6S41mSmqO/39jFGmGN8PgoogKFvrgVV/cPLbQC2mFK1B+MZhkCx7Ix+426vi0Z7zdTnq3KxUqMlwfNwA5xoWdMFUWhp/kiuPWpO9i90GNT1UWisG2TmZpPL0nYMuZiG5KDSx16mT7Nzda0tNGk4QwX7EpW2rli5Qagm1dTBDo6MaVgvhXRCWOiXI8LidKCONOD7vL+wL+KLVloxxRZQS/JGfNNPY/IP376XnnCXWsMNv481bTwbqDV2qMkoxUmHF3u0U5yrt42ybaJmK0TJb2pSChbJs1eRqsXc2gpYH87JE8zoiQbqnQESXZShHXiBnk+0Uqa63aAxU5CqtRwg9MpMBMpFVGW4wqDTEGsCmwMglThOUoPtAwLLEsPkgRNTy97ClPCYiemHcVcOlMbjpRZmX47G5yqHjm4RmVT9+EVWcZCR+sU9sIU3zGG8mdprrANQa4ENVerppQcizDJKdtaL9C15LBXylyD9XLibzOI0qBP2jFNai4s9XIcy8SxM4I0x+k757zfzJ3nBYXQB1+zrzWplGLMMYg9i4ojqZccjjb0jIiKbQ5H4pwPVta5Bv8MauXtMNVq8ljUSy6uqx5XKHqtcMbf6GwjKSEE3/zmN8/aoP8IaIQ69Rbl0AhTFtshUZazpe7Ti1LGy46WSrIlYOqZP+dwUl6JldHEppqu33TjjLhA3wz9dEy9YrMlKaiVTAxDq3LHha4zKAStKCNMCsI0xzYNcgQTJX1y0pGQ1iBcSwegi916xINW+df/H2Z6bLtQBYoCvz+SwTYE3b7kUC8paEUxfqHIC7tP0T5eBwJwzvPGPR0GG/+2MQ/DSNhas/Ecg7GSw50PzfHv+xpsHfcI4oy5dkTVNelGKZZh4FsmR+KCdprzwHyLhU6CqVjFKhxEFefam3c6rDz5B0n/9y/0QWTwu9qmpObaVL0MiaLm2TimFli2JOS5YsyzME1BnGQcXA65ZLqKYRjYlmAamK66IPWAym3jpTWxe+UhZ/D7bqr5tJOCIreol0zKroMB7F8O8SxJM0jYOubh2SZjvsWWsZJWJXcMbNOgnRSMnbd1Z2f/4P8PLQfUXIso0dMTrL7DTHOte9js1w3LlsCUok88KnTq0rHYapuUbXMYgUdJTs21z5uJeSp7BygKfS+WXRspFAutkGac4xqCmXWWEzzjO3l8fPyMRoYcO3aMBx988JzGi/yHQX9/KYA0zWnFWsk4znRjZVaAZ+m6km3qlMW5Ei0GGBAZmr0YxzLJck2f9SxJXhRYhg7p665NVtWnTpTAkYoo0dOJG2HKFbbB0STjkYWAXRMONbc6zFUP8v1CrJ3DGmw6tinpRookz6m4FjXPJAgFjSBh3DOYKLl9vTzBoeWQXpIw145p9GIW2gGbaoIYnWsfvK9xQkF9PdCNEmzb5qotPmGc4lh63tJX9i6yd7HLQivEcwyWw4T9SwHPvdrCzjIMQ1KgaAcJzU5AK4D5ToBtMCSj6O+h+m0Jp07vBEm2Sk7nTDB47yDJyPMc39appqnK8U3OtUw9et4QWEJStnX7hSEFSZaxHCZQ5HSCjMPtHp5jEWd6nlQnTJFS4JsCz5R6qOgaYkDAGPy+timZKNl4lmSi7GIZ2olWPYs0y6Ff97EMie/aXLKprEVws4I4TfFNPShyoPTv2qw69Kwnccc24DtHuphSIASUHJu0UCx3IpbDlCLLsS1NbU/62pP1ko0ptBJMN9YpfN82SQt9L4fp+vRDDViOjnW8xgaCoq9LemLdbz1wxg7rVIKzK3Hs2DHe9ra38ed//ucYhsFP//RPn69tGxa1suBoqPQEUt9hx5jPZMnuj4vXFPNenJEWUHHPTLfuiTAI16WUpH0dN6EYqioP3n+ipKeyyiLDNqBacpmqxnQjSanfSBgkOVXHIs76es0r0mplzxrWEM4Hg40W9OZY9ax+8TvFMXXz63w7RoqC+V7GLs9DoHvHsqKgUFKP4uhTyZUSuGI1DXeluvd6OS0ppS6ixxkC+tJYgihImWsElCYlEyWX0CjYPO5TL1mARZLp9Kem41u4eYrvWijEqsZgpVRfOfv01zEvOG3h/3QYHHAcy2RzzSQvCjpR1hfWlURpxpFmwANHOox7JlsnS5Qck6yARhBTKEUmDBxbMFW2QehBjWGiiUNJodgy4TNZg5nq2kzzXtnwbEg5VKjP+j1xA3HbQkHZMftzr8xhGwDo6GBTxaUQgmYv0vR2z6LsHnf4K9fNWqaUT3SAQZLRCnOUUDSDVEdQlkXcTwUbApQUmKZkqRtwYDlgotKXhvJsoiSjt6INpJckzPdSSt7aSiSd6rqnuSIvFIYUzFQdloJsOGViPXHenzA3N8db3/pW3vWud5GmKT/1Uz/FG9/4Ri655JK1sG9Dosj6Z40Cdox71Eo2WQG2LYkSxYRrkXQLsixnsZMPlbbXwmkZIiPJIUxzemlOzRSr/r5jqkKQZGT9m7GXZCz3Ug4t6Y3JMiRjFZswDSlb2p7BdnmmvRtngsFGq1SBtHXaLrSzIW05zQvyXG9+lqF0DwoGthRYUpCZgq11D7ffozJespmuejr3z/FpzefSNHymJ+sB0y53LOqWwdFmQDdKcC0DZQjKnoMpDa7bNUY3SrliuoxlSOZbIQrNunQdk8tn6zjLIZdMVfr9NsejINuUCKFOa8fjsdQe77uBbmIvHIPlbkInyqj6ijTX71Mo+MaBDg8vddhcdbkJQZzleuinJXEti1Y3Z+dUlcVOyNWzZRQMx8iYBkxNV4en//PFiVGVPjT1dQ+lVoKQUveRmYbENA3GPJuFXkw3SmkYgtTTG2wv0YLHzU5MgqDqW8MUWpBkq/rc1vKwMyAX2ebxehyqwBSSzWM+aZoj+oeuJM0YnFOyrKDR01F5o5cM3+9ERmNagCV1Kv1U88POFWle0I0zelFKpd9vthCGxLlipuZiGhYT4iKLsE7EIKJa6ah+4zd+g927d6+lfRsSYa7TgXGmhzZumSxjGQJDCGqOJIwzTWs3DFzJqgjmXHF8c1YIIYiSHNsQw9TsiVHHYONc7iV84mv7WAjh0cUlbr12GzvHy/imni+kG0mPj95Yq5v3+EZrDze05W7CXDui5ulCbr3kYFkmqtBK6lKAtCX0UxA126DkmHj9uV6Dm2mw0awUjD3ba/lEJ+uVTDvLkP1R6hndOEdKbYthgO9Kaq5B2bEo+zbtUI/oMIWil6Q8Oh+S54pq2aTimMP+quOfoWsZrfDUNYWzHUUz+G6DsS5aYiqjUDmF0p891wo51Aw53Oqy1OyRpzl5niGlHmBY9bRc0L6FDsvdkMmKzeaJcv9a6/Wm0DOh1sJZDexeGVUNYBmSkmPgmVrHMkxyNtVsihLsW+gQxBlhnONZBmVX0Y0z5nsJS60YU8DMmIdnrpa+WtnnttaR+cpY2TIkY2WtlJ4XuonYMAwsUxBEGVmW0YsSDKmwLF33rPu6MX5w6MyVnlkVJBnjjknq24w75ppGhpYh6UUpUVqQ5tphduIc0SeARElGK0jpL4F1xVmvpmPHjvHWt76Vd7/73aRpyk//9E/zG7/xG+zatWs97NuQ8G09mVMBC52YvADXNbEtkyTTGmJSCkq2LrDaa5BiO34aFPRirSIupexPMC70jZsWhEnKcpBSsgwMqZNsrVxHJUsd+qMEdMd9ITQ1Ns0KWnm6pg7LMk6u27WCiIVeTJZn5EVl2Ky52M0JoxTHkMOJsu0opRFnmKZOB1qmHN6kg/ddGU2c27V8YnmjwftLKXFNA9vMcS0DQ5j4toUSksVuQhDnCJVz3U6PKMkwDINv7G+xb7HHI3MtXNeh5cSrPiNIMsJYM8fGS2tz2h98t8H7d8IUA4EwTTb1U3dHWiEL7ZCs0ClYyxIcbIRsqjq0opRxz0JIrRyRFtAKM5Z7CZvr5nDMzXqctfPi+CFk5W/t2SZxkRGlim6Y4NkGC+2Qo62IMM6ol/VUZt/R87cOLPR4bLHLjrrPdbsm2Vw/Xrt7vEbglTiX+tbKDMXg9UKA7+jrZlsmoMePdEM9SDEtdC+USgQl18C1reEomaI/2mPQr3WkGfDAXI+rt1TWvHZrGpI8yRGa5IoU9Jv4JSECKRn2T65nzfiMHdbRo0eHjirLMl72spfxxje+ceSoToHpWomDi10sC9J+/5NpyuH8HtvUN3uu9EI4VzmmU8EwDFwbWoGiyHOifvE5yTXV+K6HF7j/cIut4yVuuWKakmXwtJ01vn24xdO2TtCOMgwU3TRna91HCh35GIaeUXUmtp7JzXzihq9P0FqZ2jbNIcGjE2WkWUaUKQzHJMsyWqEefyJQNDoxB5cCKp6JY+uxGpRZobV39ifNM9mE0rxguRvj2iZxknK4FVGkGaZtYRsGqJx2kFC1hJaykgZBpodzZl7BoaWAbx9pcLSdaOagZXOqUpVrG1imHKaNz+Van+q7DSj/gKaEFzm9OO/TvA2ahsFU2acRRbiGPtUfbMZItChuxbcYK9l045wJT8svpYX+TZL+oafkrG1N43SpunaYkqTFUOfQNE0ONUKSrKAb50xW5ZB0kRqSTi+hKCApFJfPVIezxQbvHSY6wno8Qsu5rK2V0f9AtcO1DPK+QlCS6oOMbRvsnK7Qi1JcQxAV0Ali5lsxWaHY0/+8OM31nL1+9uHB+YClXsy9B+Hpu6bWLEIMEp0RGowwSnM94Xggcp3166G+bVw8DuuSSy4hjmOuu+463vCGN7Br1y4ajQaNRuO0r7nhhhvWxMiNhi21Cg86XUqexWRJRwlVVw8WFCiibLAZJxiCNaGgDm4ggcKzTUxDU8AVYrh5h0nOv3z7IHvnIzZVLL77silcy+AF123jOXtm2DrhU+QZUa4ZXnmhsG2DrEiH0j1nY8vjLd6Vm87g+WMlGyn14EFDSo40AhY6KXmeMVnztaiukPTigqVuwlTVoZfkLHVjjrUCqp7J7snKqprOQLxzLZHmBfOtkIVugm8bLPd0FN0KU3b7Lnmu+2rGSjaOY7Ol7hKmBbMVp58+zJjvRPSSgixTSANc53hrw+AzAJbbAXO9jEsmffzx8km1iVaYDKcjn+06ilI9z8iQ0I31pokQbKp5eLbFI8faLIWe1hoMEpaDlKVOxGWzNaarHo6p2a8HlwOE0A3FaV/LseD0zMZzwcr1ciK9vRNqJfMwyRn3DIJYsxTDJMM2IYhS2v1G9CDJqXgOnTRhquwSpav1Oy1Dz6yT4tSElpVR+7lGMYPIOUy1Ms0g7duOcyZKBnmeEydaBWfgDDphTkKOaQm6cTZsU+lFKeW+Q52puSx1I3zbYKEdU3Zz/PG1WfuGIbFMzQw0JAihszdR2m/6T3OqxRPrKZ4vzvjbRJEek3DPPffw4z/+44/7XKV0HSXP119u/mJEnKZIIIhTokxpJXLbpIhzemmBbwuiLMdbw4nMgxu62q9L2FIx18uou/rUc7TR49GlgLl2RJxAM0iZ74SUHRNDSVzboOLq2kSS5RRC6hN0lJLmhT7pn8VJ8olOWitPm4PUVLMXkyGZcDUTsRUmtEM9GbXqmtimoW/woqAoCsI4pWRJ5loBUkq6gRYKXemgVjLE1gppXhDnil6c4ZgCgWKxo0eFFEqn0XZM+iwHMbuny4yXXSquTdk9PuvKtiW9JKTZH9RYdrTm4InsyUeXI+I0Iy8Kpmv+SQeB47T3M+/VGlxzLbWjN0WhdFrJ7Q8BdSxtZ0FBEOf4jsXdjyzQ6KYkacY1W8fI8oKHD7dohylZmjNW8fAtAym1JuRaO6yV62klc82UehMXQIqgbpuU0pyqb3KslVB2FbnSadtOGLKp7pAVOb4tmW9HJ2UNBoecLNf6lZtWsBxX1gDP9SCU5gW9/vBP7QAEy339wyQrKJdtjrViunHM0WZEyTIpULo9oFC0w5S6r1m1BYqov2a2jrnkRZ2yK1nLnOwglZnmBUmWkeUK35HDa3AkC7CN483c64kzvuLve9/71tOO/1A41ok4GmstwSOdEEv2B7QZBSVLUiAY82ykNLAMsSaMnhMdQC8F15S04oIZBQ/NdVjuptR8B0nOuGcSJgVREtPoZbiGprynuSKnn4ZLtbimIQR5cWaL8WxTVIMNoB2m3HO4RauX8LSdY2wdL9HLCo62Q7aOe+QKnL4SQdkxOLKcUeQ50jL0zB5DUS5ZzNaODztcL0q7ZejxE0J5WKZW1LYMgWNIPFOrtU/XXJ62awLfMmgFCe0oY8e4P4x0fcuk3U3pBOAasHO8RM13aIdaPT3NdFFdqpxGL2W2ap/y+/j9RtJB/9mZYMBWE0JH/J0owzB0i0WU5sR9VRGEwJcWjm1SdU2WwoC5bgpkoAqWeinHugFxUlDyDHxb/z6ubWKeweiK88Fg3QD04pQo0Yeqqm1SL9lkWc7hpsLpO2BLQJJmSCFI0pxGkFGIgE1Nn7GSw2TZGaZKe3HWv05F//5c3cx9vmvKMiQ1z+ynu3MWghRDQKIEY2V9iE2ThF6Y0+4l7O32qHkmW8f1fCu7f29leUE3zPAMTeUPM62zaZoGRp/ivxZYubekeUFe5MOZc5Yh8SyDJNefvd44Y4d12223racd/6HQDHTxPALavZRjrYCdUxUsQysFBHFKK9Bq3Xau+25WOq1zvRnSvGCxG5NmOZbsj7L39QC2smfRCFK+/8qtKHQKIi2g0U00uypOsfYtsWeqTKEkttREjaIoiPOCcefMFv/Z5vYH1HDLkDQ6Mc1eysNzPa7cHLOwHNLoJliG4MrZKnFa4JgFh5dDHpprs7XmoQwDzzRwPZNLx089mXetYRm6T8y1E5Ks4N5DIYcbAXXXxLFNxkoWnqnHwqd5oUWIbZtlN2U6yVhoBxxuJSy1IQDsDK7dMca2MQ/bAEOCYWuml5Q6+pWGccq1YRmScp9Yc7b1FNuULHf1uHiz0CKnnm0QJRmOZbCp7hIkOXXf4rKZKo8eSugA3U5MrnR0kKcZYQqtXsydDy1w064xNtU85jopO8a9NUl3nw5Rqu+ZMMupOBYFBWMlmyTNWOzFFEAzTNk27rMcZkybJkme0woz0jyj21MUmU6FDu6/MMmHOny+LUkyuWojXgvi0aC2FKU58+2IZphg9xusq75NO8zwXYcx4BsHGsRZwXw3Z8d0hV5a0AgSLFPSSTOKQpGidHpSQjPI2GRCbR10/QZEqUJpUkicaYJKybWxLWM4jHM9MdISXAfIPnnVBEquQS867oy+fXCZB+e6eKZk90wFMIa9Q+dLRQ2SjCDWenRlzx42GFqG5PLpCtNlH1SGkAb75jt0E32C+9axRdLUwLIkU1WPPVNlfeMC3VinBMPszGctne3G6dsm42WbumNxrB0h0SrnhxsRjzW6ZFlOM0wpWVrt+puHGhxp9/RNKgQPLwdcNlViolY6IV22to2fp7K9HWZIBIZh0E5ypgpFkisOLna584F5Jko2jmUhzIhcFkxXHPY1QuYaIQKduTE92FLz8B2biqd/syDJaIcJeaFwLD1+5nQ2nO2QypVstWViLMPAkGD2MwEVz6IZpExXbGzDoO7r9Fin//ouMFP3OdroERWStMh5aL7BUpgTRgmzdZ/7j3a4fmuVS9dBq2dlSjPNCxypndbWukuS9wkxUUo70FOgO2HGbFWhUAihCVAocG1JnBfD1o9CDWj5alhPXKs+slMhTHQUGyYZruWSqoIo1ZOEkzSlKKDiW7QbAY5S7J/vMl6yKGouSZaTZDnduGBCaTKPYUjqvok0TZIsP+/p5SdicCiS/VEjUZJT9A85g+nF642Rw1oH2LaJRYYJmELCigm0jy71WGhHuLbB5UYdzzZOUhY/r882BItJjo+iHR5nII6VXRQxpmH3BUElQS9lsRfS6uaYMqcTpYx7JqYhEWR04pxjyz2WE5gup1y6qfKE9p3LCXTQ/FktWWzNyph9wkJU5KCgGyd0o4wiL3BNgyQvKHKJjeQbh5aY76YUmY52BmMiVqYx1uNGGqTVfFsyXbE41opphxkL7ZDZqs17v3A/exdhvAQ/cNVWirxgvpmQzBY0uwnznQjXgTwG14THlntcMWOscraGlEyWLea7GfXTnF4H37Mdpsgz3KBW/kaWoSWBLCmGPUK6LgaFklQ9g1wpllY0rAKUHIPZsRJTvsWxXDEXKJI8pORIDra77FuICLOYn+OKc7vAj4PBtYn7pJG8b087TInTlHaY0u1lOs1WCCqOiWlqhf/FbqhnaZUcfFtHwZZxnJg0IKEMsF410MFkbkMKROGhhMRAk6aSXJDkijgvkFJQdkziOMN3DX2AMbSDyHItTtxNtAP3pG7Y9sTx+WNriYHwrRSaGTjfjdlUtql41rpcp1Nh5LDWAUmaIwED8F2T5SBlrhXQjbU6dloophwD3+qLXJ5lP8fpMLjpyrbB0XbEVFkRJPbQaUmp5Yy6YcZjjYBOLyHIUgyjwJAWuyZ8MiWGYq1SSuaClHaoqflnK/9zNiiKgvGqg2UZbKna1HybTRWXuXZEydLpSMcysKSkbtukpYJOnHF0KaVTQMVN6EYJ/ho3TZ4OjW7EsXbCTNXGd2xMQ7MbS46JYRg8tKift9ADiaARJkxXXGxTstAM2bvQwQBqZai5Ds1uogf5rbBZAQebEQcWIwwKnrp94pS2HF3ucrSdMlu1qG0Zf1y7V1K1Bykw2R8VMmC9CRS9OKUoCh5eCDi63GNLXQvK5oCHdmqWBNe2qfo5VddAmAZjrsWhVkaaFUTnOSDpVPXQQXQVJrqOYkhtazvI8GxJo89mjNKcXpIx7jvEeY4todGNmW/GHF0OaXZDeqbBobLFU/L6Csef9Ac+WlievaYs08G1z/q9UwMF+1wpLMOg0Y0I03zoEOI0J4ozLGkibYEpBFXHoOxaWv/RMig5BqAJM2Nlh4rv0o0igjhHrpGe60qCy0B+7EgzoBFk2IZkU12uCxv3VBg5rHWAIXRznc4uFNgGLPVSsiLHlgZb6h6OIwnSnEpfhmgtNlddzLU5uNBhoZPQDWLG+2OzgyRHoMgL+PyD83zm24epuBZl28bsjwO3DNnvx9HjOxAw7tskSUxWrF8RfXDirFqSPDfxLIOlbkzNs9hS93EMQdrvYXItE98zUVHOweWYRt+sLFMg9GZ7pBEwXraH+fb1cF6tKCfOMg63ClpBQgG4jslU1WO8tDoaMi2Bl2n2XMWzaEQJQVJQAJMlh7JjIfs1jYGtg7TdAweb7G0EBHHCD12/45S2PNoIObQYEOY+V2x5fLsHVO12mGAautm6KAoKzKHiykA/shmmfOHBeeY7EZfNlLlqs8XRZsquyRJBnHLPoRZffOgI811NMJqYKLClyWXTVbIcLpuuntc1PlVKd/CYUhAmGe0ooxNq5lqQ5HRj7cwONwPKjkEnSphyfXpJwYGlJl/eu0gnScmyAttULHRTlnrpUGU8THLCNMNJJJ5dDK/JWuD4tdfEGj0fzEIUBctRxnI3pJ0oNlctHNPElDrya4U5E3WXiZrLcjvm0HIX36mxo+5hItlUsZACpmueZvRaYihxthZI+9R6rXpjkhWKMCvI8hzRH445irA2MgTE6JuqE+WoXDFRsujGBlsmPIJYYRv6rpNnOSn2dFh5Gj3UDrln/xL1ssXu6SoTZQe3n/oAuGf/IvPNkNDPMccM0lShrIJulHOoETJZMhkveZiWidMJWezGuI5mW6019IlZ99C0El1juO9Il/FuRiNIcC2pFS6koBnElO2Ch461uO9wE7VCGMIwGPa6mf3IwbfNdTv5+ZbkaFIw5ktNS7clSklsUzdW2sAgidbtBQjDolrSfSoTvsNhKyCzwTFMEnLu2bdEkuiajz9+PKWpEBSFQBWnj1YW2jEPL3RxzoAVNpDEAt3rtvdYk8caETvHXK7YMo4Uep5XM0451oqZW24RKejGHjtqJZI4ZKbkAoKjyz32d/X7hsAVZQfHMbl2awXftbli2j+va3yqlK5lyGENBQQl2+yPj88xEHTinAPLIWGYkGWC1HZARAhRcGAhYL4X0ctSZsoeWZpjqII4Tld/sDq+0a/lYJfBtR8v23TCFJSi2Ys51opAGOxbDJDSAKXYOa4dg5b50pGrZ0jKrkncvw2naj7VkjtsfF4ZNbfDGD9fO5ZgO0wolD5cN7sRjTAlTXX7w2DvGUVYGxQKA0FKCvSinLBQbKr5jOcFjilY7sZ69IdtDnX6zheD/HJRFHogX5Ky0MhphvGKeoW+YWxDj4moOw7LrR4HFhNmxwoqrkmYFuxdjFDCpOYpvvTIIt863GK5W+J5V28+bztPhK5HCIqiIEtTDixHCKWwnf7QPUtgIfvTfC26KuXeA00WVzgrD7hik06FebYBiS44p/nanpBXQis5SEAM1Si6QcbeYx0oCmbLsL+r08J7mz12jlfo9jQj86nb6ySq4OtxyMFmD9uAuuOwbyk4qXdxz6YyQV6wZ9PphdoEMF12zqj1ZqDaMEitPbwQ0AgSOmHG9ukaltT1E9cQLLQjkAU2Fk/dUueBIy32LcU8vBQj1LfZvWU1ocK2JJdMeWyZqGCZJtP9FoNzkTGCU9dDB9Gna+lRM8vdhDRXLIcJngElS6LygiDPyHNoRhlhnjNZsSmKgpJtIYWg7jpIB6br/ir6t2cbJJka1pbXSuwZVl/7TpiyHCSkRcFSLyYuBGGmMA19DzciHQUWCsI4w6g4bK65dJMCvz/tO80Lmj0tReVa5pDpON+OaAUJCLFmc8g82yTJdCqzHWX0gpyi0HuOZch+T9/6Y+Sw1gF13yRHbyRBmjNdtoeb5mIn5EgzZrxkDsVa1wp5XrAcpMzWXO4VgqojaQXZqs3Ct00qtoNt6Brad/pUZauZMjPmcmQ5wrMN4ixlsVMwF4TY/TTA+DpQlAcn5pJr04tzjjRDZKHYPukzVrFZaEXEWUI5sjFFoU902fHXVyRMVeCmSyZpdEP9WF+4dKkbDesRayF/tVLlYLET0gxSJkq6thAlBQcWuuQGxIXiu/ZsZvkbR3B9SGLoJgXH2hFBnGJZEkdaHF3SUZgBiFmYrvmUvePDMtthgucYXL6pylTt9NHKM3fUeXihx6VTZ745Ddadbxo83ImYLrs8cKTJrnGPkqvTxIdbHcJEC/hO1xyWWjaDc8L/98ASr9+9uqZ25Wxt2LPVjiyq7nF1iLUWYx0QJNI852Ar5uByh4rjUPVsHMskjHNaaUqRFnpWk4Bn7h6n6tm0ezFBChnZcBMeYOXE4bWoK58KQZKx0Ao53IqQKBpRxnw7xDYMap5JpuBIIyLPc5qhvn/nmgGebWEJPRJmQLQZiM9G/aGPptSpO8c2Weu2qCjN8WwDVWQcaQW4piDvC1PPtaJhGn49MXJY6wDbMnDRReyxskXdc5lraW2z++c6BHEByqZ8Gn24c4FlSLJC4ZsCyzC4fHaMXpJhC51/DpLjEjSNOCTOMuZ7Pdr91/dy2DFRoezYOi2UFZhScuX0OI8tdnj2nskzWoznom03oHHvX+jxzQPL1H2L65mgZhkcUQV5pqn6lEykNNg6BeExvdl7DkxXywjD4IG5LldKk6JP8x2ovxeFYuZxNvwzxWDjjdKMJNcKEDWvGPayHepEKKVwpeCHr5+lUIpmHLHYiWl0E6Z9C9s0aPW0HmI/m4YEPMPAl2p4jVthSrOXkuaCJCvwzNNf2yu2jHPFE5AtToeZMY9YwYH5FvsWeniW4Oqqj5lkNKOYIAHbzkAKZsePX8MUTWteiTDNsC2DTpSumpS8VmzNld/ft03aYcKjSz32LzY4tBCyfVIgDIlKcwxTomKQppYpG/NMLp2pM1ly+cqBZY41IrJIR/eI4+8dJrnOQpjicdfyuUaNg9e24xxUge9a/OtXHmPfUo8p3+YnnrWH+XbEsVaIlII0zzCQzC9lHG4mlGzBf7lGR66ebRB2NVFHKfokFIMtY15fLX/taO1pXlAUivlWpOvxWcFSmNOJC9phRlrof0+us2L7yGGtA5a7MRlgKajYBq0golAFc52IVpDimBbWGguDApRdi24EkyWbA7bEty2maz55cXwuFIBv6EF8hTLQW4+uuVlS4FlaPb5cKBphipC6FyQ9w6xamuvZOXGaM1F2ntDJDVJToDv9pcxZ7gnipKAR6hk8jkLrIyrIi5zpWoV2t8NCV88A6kYBDxxusanusG0ixe6zChd6ke7rWqN5doONd1ArsC1JlikypZhrR6RFgmU4SNNk21SFp24p881jisUgASkxhGSi7NCNc+Z7IRb66rtorbZcHlcJtwyhazUopqr6PdcqUhmw1SxDMlOxOdQM+5JKAtu0CJOcpU6MVJribZomMyWbYwu9Ve+zFKyu/dRcC9cUHFnu8sB8wHVbq1y1pb5mkUor1Kr3tinwbJMjjYDvHO6wf6FNlKHV5fOcffNNjjZbtDsK1zFgokzJNumGCQtB0p9uneIZuql+uuoO2xTCJB8SCE6cX7US5/JbHGfbKcZ8E9OEqmvzpf36uh7rJnxPs0enqxmvAoNeGtMNCgpV4PgmIh/YplmSQZIh+zO0bFNT4C3fXvPI0LdN5lsRcVaQ94fQSkvQiRJavXDYKL7eGDmsdcBAS1CgN54k1zTow80QsoJN4xZj/cmoa5kmAchtg7luRCdIKTu6oXXl+6d5gWdZ+I4c6n8NECY5hjTI0pSlbgKGyYG5Np20wD7DXd8yJHGaa0WPM6DBp3lBL87phDGgSAvJ1jEbxxTc8dVHeLQJExb8wuZxLMugKBSmNBmreMx1Q8IYjrYKrt0paAYpYZRhlfXJfnG5x4NzXWy1NmSRlRtv1TFZ7MQ4lqS7rH9vW0pKtsGmqsNYyaFc9rhys8H+RgeUGhbwDaVIVd7vu4HpMoz5FpdOeiscliRXiumqQ6Ykm2vemkUqc62QVphSsg1KvkPNt1homUyULK7aXOXAYpf5vmKKZ0vKlkknyvnq4cVV7+OcULc4vBwwU7ZpJ1plf/9yeF52nogw0VT1KBXEmeJYO2Su3aUbKJQUTJVswqSgEWccayraMThRzrZeRJBm3Heko797NyTOUrJcovrTc81+dDVQGvFsk3aYstyNGS87Jzmsc/ktBnXmKMkou7buDausnsa80InphCFRLvFMQaMXEmYGjsyYKnl4tmCxHVF1DOa6CUcaIaYhuGarhe9Yq+qTa5nS1Ic0weFWTC/K6MU5qtCSZJ0kp+waJOurxgWMHNa6wLYsbJkjClgIUrpRQq3sYkuTUOZ9VexzV3t+PDS6MXvnenzj0AIgsU2TbZNlHLM/kjtIeLTV5XCjwLWDVa8tipxuqlBFQSYEWZqydapKO065etOZ1UcsQ0cRZ9qzZRmSXpTw2FJAnmdcMV1BGpLNVY+9Tf2cxRTuenie6zdXuGrHGJOuizMu2H80JEJv+jM1n7xIKaSg079zHlvSM5HK5hqFWCsQpgVZrtsETKlHUiQ5lIA00700V2wqcaBhcNVYlWaaMVHVJ9BektLsJpQkmA5sm6rzjF3jXL5lfBV9WyLwLJOxssumvsNai7Ta0WbAfEenl7bUfVq9lPGSzXjJoeLZHG2HzLdjTBNc28Q2JfsXA77+6OoIa9vk6jRrXkBYQK3scLQd4bs6JfV4YzrOBl5fCV4KLQBrSYkrDaplE5EbjJccelHK4aUWzVj3jOUFLPe0uPKRVsyRxS7tNCNOU4IMtgY+nTAdEi86YUqBbgEJEz0g8VTs2HP9LQbEmDDV2YMoyVb9vRtlzDVjuknBpqpLteTg5wZTrs9zr57hcKOLkJJWlBNlOc0goexbq4hFK2u3a5UKT/OC+U5MkKR89ttHefhYA992uXb7OJdNVWhGBTV37e+zEzFyWOuAKc9jwYuIYwDBkVbMjskSS45EUZArgRJiTQuUS92IxU7C0UaXpV7C3vk2FJK6Y3HzlTOUa14/hVDQCWMiQK0WL2A5zCg5Fjla9LMo4Psun8D3XMbLZ05aOJuNyTIkaaEVp3thxsMLTcbLPo8udnDReoyg8/PHOik3CEmtZDFVc/kUyySAlcDOSY9ebHOsEVKxDYIk40izy965DiVjLcnJGkt9OrLvGIyXLC7ZVGGhHRNmOWGm04bbp6psnazSjBIeOtJhqubQClMOL/dI4oxuAVakU8iNMKcTZ/h9zUbLkHTCmHaSU1drZ3+aFySFZpflmWSsrJitOcx3Usr9z+4GGfPtAITAtLTW5WOLLVYmALdVJY1OtOq9O0lG1bcouyZjvkvdP16Pi/tCyuez5rXMWEaQ5JgyoxWn7J6ustyLCbIM0zII05wkO76xSeBIs8f9hztsmSzhOAa2ylnuKYI44GuPSa7bWme8rOuoh5d75MIkzjIqjslCO8IbX8soRQ9tbIcpxzoxnTBnmwcHQ6gBXj9dOdfIWe4l/PDVm9k+W8U3YN9ih06UYho5ddfA7CuUeAZUveNpwPsOLvPQfI/Lpktr5rDirKAVxix3U440e8y3wfUiGlHG7HiZiX7qdL0xcljrgJKrdfmQBQKBoRRlx2bXpKTZjZioeEyehQM4E7TDjLmu7j4vshxbCQKlSLLjAxI926Ts5Gyvl3joaBMbWDnj1jYESinqJRcnzuiZObWyx66pypraeiI8y8A1JUhJGKZ8Z7mFygXPubTMo4sxjkyxJcyOeTSjhCxTmNaKPidgvGzTjQPGyhZJpsdt5AhqJZd8HebfKgSmKWhFGVdM+cQF+DYc6WjVBTg+br3smGwb95AKFtohc52QINXXPlZwcDlkuRsjUKsK10mhSLOCXpytaSTeDBOWgwQKg26c0ItTXEuA6Nc5paDqu4wHGVkek6Ew5epreLBd8H/+5VF2VeGxtt5IwjSj2U04tBjwraMtVJHzA0+BQwttHloIuGzKX6Wmf7YYRDWGLFjoJiR9NXUpBEUuaAQJWZLR7Gh7XPTaUApavYTnXT1NmuTEcYZBzn3HCqDFFx77Bne99hYdvVkmlhS4psFyf87Wcpg+vmFnab9WPC84sBQw1wzohmADpgm1kkMc5LQAL4K5MOFHt4/xyHyLbpyzb75HvWQzXbbIEWS5wjZNrczRXyP7liMWOhH2GmUWLEPSClNMBLYhma35HJrXd9/RZR112+b6aS6uxMhhrQPm2hHtqEDEEMY5htAbapgVTJYs4rxYsy70AaqeiVqEbpJjWSYT4x4TymT3dBWvXy+zDMnW8RJP27WJfUsdjjZyVh6bHzjU5LrdU1RdU4+rbyeUbWNdHNZKltWmmkc3TFgOYw609KKMs5ytUzV2TRnMtQKmqj6WAd/c3+KhhRa7J6tcOQmPLsLOMZhvJfiWHmI4VXapeRa7JyocbS2xe2Lt7a/YgnaQUXMNHprrMddJ2LfcIUwER9s6RbPcjWmFKZ2+kO/2SVez0Ipi1byiXq5HZARJPqSCz7dCHlnokecFY565pmodjW7Kcjehlwgemg94YH6ZbTUfmGT7ZJnf/ucHh8vi+i0eUZzhTJTYbMKRFRmsHnDZzBhR1qAX6BHt882QhxbbHFiOkP3a4dcOtNg736Edpjxjz6bzsn3QBlF2DIJEs/wOLXaY62WkRca2iTKTFVjoaCX8QVrwss1VwlyTW7ppQXxCI/bA8W2vu0hDizF/81CDbphSK629iKxvW3xj3yIPHWszGIG7lEHFM1EmEPdvTaVohQlCSHpxRCsK6aYZ4yUboRT7ljsYqFU1qzzNmGuFTJWcc1o3JzIgNSvToObbBHnBtokSX3+kSRjB3vkOhWI4cWG9MXJY64D5VpdupE/QY92QR5YNXNtk52SZLzx4lE5ckKQpO6fOT7pmJSbKLjsmSxxqhURRwnTJZedklaftGsMyJI1ePGxSvmFbldv/raB5wsHx3iMtnnbJFIZhsNRNONYMcUx46llSeM+E8ruSZeXbJvWyy9GFgAQdOTmWntLcjXLiTLG/0SPOHQ4v9zi40CVMwDZcqn6EaVm0o5SJss3lM9XhSAvDlFwyXcFYh1TFcpCQq4KFTkycKQ41Aw4vZwhDT4Ed1Ir2N0K+tn+ZVpTR6gVcMVOn0QhZWMFHKIBjzR5ZXxYJYL4To5QiTgsQglaYrskJ1jIkh5ZC9i91qfsWc92Io/Mhh4+FWincMlal/tJMM9LmewnjEwZH5lbXc450IpYDvdbHgTgvaAQBjV7Gkq+dQpjpNGS4BjOyjstWGczUbLpRzuHljB5w9FjIi56+k2OtkH2d7vA1yzHMjvk8NNfl8FJAM0jodlenMwf9V704Hw7EnFvscu/hFiZryybQxIgeDx9pc3SFGRX0fVwpA73BwS1h70KPhWZIM0roJgVlF9JC8cjRNvcdbdPqply3awLbMtkxUeLoco+lXsrRRu+cHdaJhDDfNtk8XmKuG7NvqUNb6XRrN03JiwLLGEkzbVgYQmAKRaLAQLDcS2l2Iwoky72E+VaMs8YRlmVItoyXmDrW5J4oIc4Urmlw9ZYx0lzPrQmTnMKCiaoPhaRg9ebzyfsW+f/94FOoeRbLnZgjrR4VR55yAT8ezuT5J7KsPNugQB/fTcCzLe470ODhhQ5pqqndqJTFTsSBdkEvbdML9WafBCnHWhGmubou2GxHPHysQ2kdDn6HFwMeW+yxuWQhHYuDy12CRDvbhU6XNC843Oixd77LI3NNklwiag5CqaGc0QAK+MdvL3PL1RGtKGG5l/DQ0SYPHOswXXZoxin3H2kiOP9+Mr3hCyYqDhVDENoGQQqqgKUg40gzXvX8I8shyylkRYNtUyV0XHUcYRwO08phlrGpViJ7LEflkPUd1JRv8mheMOWv3XYzWXV5aK7FnfcfpdV/rJfDcy7bxGzd40vv//dVz//X7xzmm/uW6IQ6ddtdzTcaUsQXOhGG1Kroe5dCgihn79Lash1926TZiwlWRKt7xm1u2jFGXoDjeIAmFN3zSIcttQ537T2MhY3nFlw6Y2MKWApDojTnQLPJ1/c32DHpsWuyRDPNCeOcZpyfU9RzOkmsmZpHXigQBgrd8D5RcoYjjJ4MPDmfchaI45jXve51bN68Gc/zuPHGG/n0pz99Rq89fPgwP/7jP069XqdarfIjP/IjPProo+ts8ckYq3oYpt6IHlyMOLTU5ttHWtimQbOTcKARcLgVDvuP1gq+bXL5TA0pDdpxRlQoJvvit4aEqqdFMpeDlC2bXE6M72Jg23gJ3zZ5ZK7LfYfaPDLXHaZhnmhRruypeqLnHz8pHz/BOb7+bwM9cuML+9rM9RTLCTSjlGaQ8a05LTS7EOqUT4R2EnXfpupaqxyWYVtsm3Ax7LVN6QAsdhOCNKcdZfiWHvcQolNQx5Z07SorJJ5pcnQx4bH5iIPLHTzHOq0+3V0PHuOjXz7IX979KB//xlEOtULuO7bMHf+2n3fd9TAf+9qBNbH95ksn2VL3uWSmwtWzdabGBDlaAujS6dU1pizXm0QYwg1bp056r50T9eF/Nzqwddyh2VaEGaSpPhC1o5ySbdKO1q69oOyYKARfeawxfFz0L6x3itrNXQ8usa+j024HA2is+NueChxc6vLNQ02OtSM9jRmFCSz2knU51X/ym/M0V9z+SZbx0EKbv/vaAR4+dNxBLiu4b36JxxrwUCPh8GJGN85p9BKqlklRKDpBxpcfXeL+A81+w7yW/GoF4Tk7rJX35srHn7q5yu6pCtuqUC/DmO88ac4KLsII6+Uvfzl33HEHv/Irv8Kll17K+9//fn7wB3+Qz372szznOc857eu63S7f+73fS6vV4g1veAOWZfHOd76Tm2++mW984xtMTJx6NMN6oBfFqH4WQQHHmrDcTRFCcaDZ4+BygKSg3Z/dtJbYPF7Gd03MniTsO4+VrL0gyfizz3yHzz7Uw4NVIq0r0YhipCFpRPFZpQILpZ3VOX2v3MAnxffhmZdM8rH7jvf9jHs2s3Vf7zZ9DBpvQ8A0xEm02umyxcPzGU+ZXXuHNVH1aCcZM1Wfy2YrHFrqQX/EYaf/2z91c5mSY7CUake2b6lgrOyc9j0/c988vRzGXC3ntHXcIs5hvpUSKmi2Il713POfL7V1qoq7v8mxTsxUyWG6UsYkwpQZX32sseq51+ws8eVHexgOtLvxSe/VXUFISIBH57sc6S+opWX97+V2wAPzPcrW2qm6WIZkx7hPuGLxNtGRknkK5fDlUy3yPr7r0lm+8sgiD8z3mHQNtl1f0kr2Qh/yirXn7PDQcmvV/x9oFxxonzqSq7seA77sYgqPzndwDUXJNLEMxUIbzMUOY7b22HPNkCLX/z4XnG6sS5oX7Jiq8nPfcwn3HWmw2I5Rcu0ZuI+HiyrC+spXvsLtt9/O7/3e7/H2t7+dn//5n+df//Vf2bFjB6997Wsf97V/+qd/ysMPP8w///M/89rXvpZf/dVf5VOf+hRHjx7lHe94x5P0DTQW2zmdFYfJHFhohUxVXFxLkoQhexcCvnFgac0/27dNLpuusGuizNb6yemjF7z1k3ziwSagN/r6aeQBr906zpaaw7Vbz1zy50wjsdO9VlgJQsBkCZ6xa/VpfqLscMkJ5ImVtZb7jzTYN9c5/re8YK4V6DHwvZM32vNBmhdcvbnM7ukqz9kzxnOvnOW27zo++iPv23v5lnH+y9WzDNylAPzHUVTv5DrFuRRBR8H9SymPNlO6Sr/nI0trw1Y73Iw4uhTwwFyPAnjJTTu5bsckBZIH5o6n/C6pwbN3bSIFFgL4q3uOnvRe35lbnSL84qMLw/9u9/eyhTChyAoWwsfxGueAKzbXT0hQwnjZYdxffUB5Iq7ci5+1g8PLPY60Ag63e7R6KWGS87lvHeQzDy7xuW8dXFO7Aa44i9Er33vF9Kr/n2/G7J1vc9cDc3xnIaGZwXwr5ltHl/jfn3mQOMjJMrCcc4toV6b0T/XYTM3HNyFIUzpBzFv/8Vu84A8/y1v/8Vvn9Hlng4vKYd1xxx0YhsHP//zPDx9zXZef/dmf5d/+7d84ePD0C+eOO+7gGc94Bs94xjOGj11xxRU897nP5SMf+ci62n0i8n6oL9GNpAX6RvZtkx3jZSL0oL+H54LHeZdzx82XT/Hcq2e5+fKTUziPnfCROza5TAF1C37k6snh47des4VX3nwpt17zBAOWVmDgqFphctbpTsuQZKGBbYGFxWUzVZ6xzaPW322+8FiLj3z9sVWvWXnwve9Qmy/vO34ASPOCxW7E/vkeC62zO2kGScZiNzrtd5hrBTzWiEDlpOhDwnW7pocbo8HxUQ++bfKSp23m0gmHH3/a5vOKqNcqgTzhm3zym0f53ENLfPDuh7nl8hl+9nsuYft4ZdV33tuCv7zz8VPq7RU+9JJxwdFjx13IYEte6gYcafdYOrFwdA4YpJ1PN86i5tlnzWq9ZFONA50u+xa7HGx2CJOMTpLxcP/883Dn8V9/LnjZs3ed8XP/6/XbV/1/O4NWM+XAimVd8Q0WA3jwWIvFCJ3pOMfxIqc6eJ742Jce7nCkrfjSwx0+9MUDfHs+4ENfXJuU9ePhokoJ3nPPPVx22WVUq6tPH8985jMB+MY3vsG2bdtOel1RFNx777284hWvOOlvz3zmM/nUpz5Fp9OhUlnffqIBZqcc8lbMhCPodhXdHMJIr65a2eWGbeN0kpynbl4fpcidU9XTMhBPLJu/9BmXsHRlRpyl3HLZcQc3U/OYKJ99fnowpO5cphP7JYtymuP3acQ/9vRdHGmG/MlntaM6csLGsdWB+VjX3nzHxFnBVLIMSdXz2T4lqJbPjqjwRN+hFeUEUUoQa8WLAb73shrfPNTi2q2rx278xguvPWeh1PXAlvEyy/3D96GO3uRrns3NV8zw2GKXe48cZ4WcyCRdiZWN3QC7p8c5bCzDgg6t9uzW9TDLsJgseVjG+admH4/Qs+M0t9OYgEhA9zRkP982iTJdB1Uqp1pyqJ7BbLHzwZ6ZOturcKD9+M+bcvXvs8mGxURH2mMeVKrA3PHnXTlbJykibENgGeC7kJ1jtu5U6/TEx4IT/g2DhPj64qJyWEePHmV2dvakxwePHTly5JSvW15eJo7jJ3zt5ZdffsrXx3FMHB9PG7VaOr/cbj/BajoNfuqGWb5+oMlTN1d5dL7Hvx9s8t17Jmm321xaE2RbfXaNezx1tnTOn3Gu+PP/dgX/7X3HGVTftbO6alM+0Z4MnTo8U2RJRphkWoutOLsU0IueMs3XDzR52vY67XabK8cNPGVwRTXg0QV4ylaLYwsph2LtrF7yzEu4+9ElZn2LmckS124pr7L/ll0e35kvuGraOavr/ETfwSdmd00SZYptJTF871/7vt0cbcXM1k79eYNr6ccBXaAM1B041F96JqujqC0uxBEMKnmXj537mjwR10+l3Hco5SlbreF7PnXaYtLx+T/x8W3oOZfV+ORDrVO+x2uet4fPPnCQLx2ImS7Bj151CfMdj498/RF8o8QLr9pEu93m+3ZX+fJjS9y4q3re9q+sr2SRpFhh61tect3w/Vc+/t9u2cUXH13iK6fwDhJ9TZ+3u84XH13m+q3jzHqKiqN47naTrx1o8/Tt52/3qfD8yya54+4Dw9/XAp6+y+fQkYBeDOWawY9cu412u81/e8YMX3x0Cd8scGybG3dPUHzlIe6fh8sm4FduuYEgimnHiqrIuH+uw3ftnli3/eXGmYJ7D0Rcs91lS6XCvx1Y4lnbz+3zBq9RZ6Looi4i7N69W/3AD/zASY/v3btXAeqd73znKV934MABBai3ve1tJ/3tPe95jwLUPffcc9rPffOb36zQ/IjRP6N/Rv+M/hn9cwH+OXjw4BP6iIsqwvI8b1WkM0AURcO/n+51wDm9FuD1r389/+N//I/h/xdFwfLyMhMTEwhxMkWo3W6zbds2Dh48eFL68mLHyPYnHxvVbhjZfiGwUe2Gc7NdKUWn02Hz5ieeaH5ROazZ2VkOHz580uNHj2p20um+0Pj4OI7jDJ93Nq8FcBwHx1lNN67X609ob7Va3XALaoCR7U8+NqrdMLL9QmCj2g1nb3utVjuj5134CvAKXHfddTz00EMn5UG//OUvD/9+KkgpeepTn8rXvva1k/725S9/md27dz9phIsRRhhhhBHWBxeVw3rRi15Enue8613vGj4WxzHve9/7uPHGG4cMwQMHDvDAAw+c9NqvfvWrq5zWgw8+yL/+67/y4he/+Mn5AiOMMMIII6wbLqqU4I033siLX/xiXv/61zM/P8+ePXv4wAc+wL59+3jPe94zfN7LXvYyPv/5z69ilbz61a/m3e9+Ny94wQv49V//dSzL4g//8A/ZtGkTv/Zrv7amdjqOw5vf/OaT0ogbASPbn3xsVLthZPuFwEa1G9bfdqHUGk6HWwNEUcSb3vQm/uqv/opGo8E111zDb/3Wb3HrrbcOn3PLLbec5LAADh06NFS4KIqCW265hXe+853s2bPnyf4aI4wwwggjrDEuOoc1wggjjDDCCKfCRVXDGmGEEUYYYYTTYeSwRhhhhBFG2BAYOawRRhhhhBE2BEYOa4QRRhhhhDPChaY8jBzWCBcUF/oGGGGEJwsDUe2NiA9/+MMAp5SqezIxcljosSYHDhxYtaA2ykYaBOszU2u98eijjxIEwVDrcSPhm9/8Jg8//DCHDh0aPrZR1svHPvYxXv3qV/Poo3rOVVGcZubGRYa/+Zu/oVKpcPfdd19oU84af//3f8/znvc83vnOd7Jv374Lbc5Z4fbbb+eSSy7hpS99KV/4whcutDn/uR3W/fffz3Oe8xye+9zncu211/LMZz6Tv/u7vyPLMoQQF/Um9OCDD/K0pz2Nn/u5n7vQppwV7r33Xl7wghfwwz/8w+zatYtbbrmFu++++6K+1gPce++9fP/3fz8/9EM/xNOe9jSuvfZa/viP/3i4Xi52fPrTn+bHfuzH+OAHP8g///M/A1rW7GLGPffcw4033sgrXvEKXvCCF2wobb0jR47wghe8gJe97GXYto3v+/j+2c1mu1AYXPfbbruNSqWC67qnFBd/0vGEeu7/QTE3N6euv/569V3f9V3qve99r3rve9+rbrrpJlWv19Wb3/xmpZRSRVFcWCNPgaIo1B133KEuu+wyJYRQQgj1uc997kKb9YTIskz98R//sZqamlI333yz+p//83+qV7/61Wrbtm3qiiuuuKi/Q5Ik6nd+53dUvV5XN998s/rf//t/q7/5m79Rt9xyi6pWq+rv//7vL7SJj4vBOv7617+uJiYmlOd56sYbb1Tf+MY3lFJK5Xl+Ic07JYIgUD/zMz+jhBDq5ptvVh/72MfU3NzchTbrrPDmN79ZXXnllepDH/qQOnDgwIU254zQarXUy172MiWEULfccov62Mc+pj7+8Y8r13XVH/zBHyil9L18ofCf1mHdfvvtyjRNdccddwwfO3TokHrJS16ihBDqM5/5zAW07vTYu3evespTnqImJibUb//2b6urrrpK3XTTTSpN0wtt2uPiE5/4hNq9e7d6xSteoR544IHh43fffbcSQqjXve51F+13+PjHP65uuOEG9Su/8ivqoYceGt6wDz/8sBJCqN///d+/KA83J+KOO+5Qz3ve89T//b//Vwkh1Bve8Ibhd7mY7M+yTP3O7/yOEkKoV77ylWphYeG0a+NisnslDhw4oDZt2qR++Zd/+aTHV+Jisr/X66lLL71U7d69W/3Zn/2Z2r9/v1JKqUcffVSNjY2pF77whRf8cPOf1mG97W1vU7VabfgDJEmilNKn0Gc+85nqKU95ykV5otu/f796wxveMDwd/5//83+UEEL9xV/8xQW27PHxh3/4h+rKK69U8/Pzw8fiOFZKKXXTTTep7//+71dKXVw38ABf+MIX1Dve8Y5Vtiul1Ec/+lE1PT2tPvzhDyulLk7blTpu15e//GVVq9WUUkr9l//yX9Ts7Kz69Kc/veo5Fwu+9rWvqWc/+9nqiiuuGD72sY99TN12223qta99rXrve987XD8XI+68807l+7566KGHlFJK/eVf/qW66qqr1FVXXaV+9Ed/VP31X//1BbZwNQb74Be/+EV13333DffDAZ7xjGeoW265RUVRdEHXyn94hzX4IU68yO985ztVpVJRn/3sZ5VSatVJ88Mf/rByHEf97u/+7ilf+2ThdLZHUTT87wcffFA973nPU1u3blWLi4tPqn2nw0q7V9r+4IMPrvq7Uvq633LLLeo5z3mOCsPwyTX0FDjdNT8Rd911l3rKU56iqtWq+s3f/E31rW99SzUajVXv8WTjiWy/44471J49e5RSSt1zzz1KCKFuu+02tby8/LivW2+czu5BJPhrv/Zr6nnPe54SQqg9e/aoSqWihBDqhS98obrvvvtWvceTjdPZ/rWvfU2Zpqk++tGPqve+971KSqle9KIXqdtuu01NT08rIYR63/vedwEsPo4zWetFUag8z9V//+//XdVqteEav1Br5T+swxrUHU6MPAYX+tOf/rRyHEf95m/+5vCxwQ947Ngx9eM//uNqamrqgpziTmf76fDhD39YeZ6nXvva166zZY+Ps7V74NCuv/569ZKXvGT42IXAmdg+WB+ve93rlBBCfe/3fq+67bbb1M/+7M+qer2ufuInfuLJMncVnsj2wTX9yle+oiqVijpy5IhSSqmf/dmfVY7jDE/7vV7vyTG4jye6R/fv369e9KIXKSGE+r7v+z71iU98Qu3fv18dPnxY/dZv/ZaSUqoXv/jFT6rNAzzRNf/a176mJicn1U/91E+pa6+9Vr3pTW9SnU5HKaXUvffeq2699VY1MTGh7r///ifTbKXU2d+nSin1pje9SQkh1D/+4z+uo2VPjP+QDuvOO+9UV199tRJCqOc973nqO9/5jlLq5M3whhtuUNdff7361re+ddLfP/ShDynTNNWf/dmfnfK1F9r2lY/Nz8+rV7ziFcp13eGJ88ne+M/G7pU4ePCgKpVK6vd+7/eUUhemoHumtg/+/6Mf/aj68Ic/rBYXF4ePvf71r1dSSvX2t79dKfXknfjP5rp/5CMfUZdddtkw1d1ut5Xv++p7v/d71c/8zM+on/7pnx46s4vF7g996EPq5S9/ubr77rtP+ttP/uRPqlqtNtxEL7Z79NnPfraSUqrJyUn1xS9+cdXfPvWpT6nx8XH1mte8Ril1ca6XlXbdddddSgihPvKRjzzu89cb/+Ec1r/927+pK664Qu3cuVO9+MUvVkII9ba3vW1V0XawKX7sYx9TQgj127/928N01OBvDz74oNq6dav6+Z//+SdtMZ2J7afDv/zLv6gtW7aoH/uxH3sSLF2N87H7zjvvVEII9clPfvJJsPRknI3tj3eTPvzww2rPnj3q2muvXZWyXU+cqe0Du++66y7l+746ePDg8G8vfelLlWEYyrIs9eY3v1l1u92Lwu6Bza1W66Ta4eB5X/rSl5QQYlWW5GKwfbCHfOITnxgyeQeR1CBjMz8/r57//Oerbdu2XXTr5VS477771NjYmPqlX/olpdTIYa0ZvvOd7yjHcdTf/u3fKqWU+u7v/m516aWXqrvvvvuUz//BH/xBtXnzZvVP//RPSqnVJ/yrr75avexlL1NKPTk/0NnavtKubrc7DNv/5V/+RSml1Oc//3n1sY99bNXzLha7B/jTP/1TZZrmMF2SZZnau3ev+trXvrbudit1frYrtfpk/KxnPUvddNNNT9oGdKLt3/M93/O4tt9+++3q8ssvV81mU332s59Vz3nOc5RhGKparao9e/aou+66Syl18V7zE1P3CwsLql6vP6mp8LO1/Sd/8ieVEEK96lWvUkqpVc7hRS96kbrqqqtUq9Vaf8PV+a31+fl5tWPHDvXc5z5Xtdvt9Tb1tPgP5bAGzmbliWxwgv/lX/7l4cJYucns379flctlddNNN6l///d/Hz7+pS99SVWrVfWWt7zlorL9VJvJ4Ps88MAD6oYbblBPfepT1Vve8ha1bds2NTExsa5sx/OxWymlfviHf1h913d9l1JKpwf/6q/+Sl1//fXqhhtuUEtLS+tm9/nafmLU/clPflJZlqV+5Vd+ZR0tPo6zsX1g/7/8y78o27bVD/3QDynDMNSzn/1sdeedd6qPfOQjw011vWu2a3nN//RP/1QJIdS73/3udbT4OM5lfzl48KCqVqsnZRG+/e1vq0suuUT91E/91JNyGF6L6/7CF75QXX311arb7Y4irLPF7bffrl71qlept771rerOO+8cPr7yQg4u9G233abq9br6h3/4h1XvMfgR3//+96vt27erXbt2qT/+4z9Wf/EXf6F++Id/WG3btk3de++9F6Xtp8L+/fvVy1/+8mEa4kd+5EdWpX8uJruLolCdTkfNzs6qn/iJn1Cf+cxn1H/9r/9VCSHU85//fHXo0KE1s3utbV+JI0eOqH/6p39SN998s7rqqquG9dCL0fa7775bXXPNNerKK69Uf/Inf6IOHjw4vAee/exnq1e+8pVr6rDW65ofO3ZMffSjH1XXXHONuvnmm9eFHbuW+8vtt9+uZmdn1fj4uHrlK1+pfvd3f1f9wA/8gBobG1uXVPh6XPeiKNRv//ZvKyHEkO17IZzWhnNYx44dU7feeqsqlUrqhhtuUGNjY8pxHPXmN795SLk8sRny0KFDqlwuqxe+8IXDDTzP81UX/HOf+5x69rOfrWq1mpqYmFDXXHON+sIXvnDR2n4i7rrrLvX85z9fSSnV9ddff8YprQtp9yOPPKJ831c33HCDKpfL6vLLLx+mMy922z/3uc+pV77ylepFL3qRqlQq6tprr1Vf/epXL0rbB2moJEnUnXfeqb71rW8NHdPgdWvZUrCe1/wXfuEX1Etf+lJVLpfVDTfcMOxHvBhtX7m/3H333erWW29V9XpdTU9Pq+uvv36VM7nYbD8V3vnOdyohxCqxhScbG85hfeADH1Dj4+PqQx/6kDpy5IhaWlpSL3/5y1WlUlGvfvWrT3r+4If5nd/5HSWlVO9617tWLaSV/x2GoZqbm1vzjWe9bF+Jz3zmM8q2bfUnf/InG8buf/3Xf1VCCDU9Pb0udq+n7f/0T/+k9uzZo2655Rb13ve+d8PY/mScitfrmt9xxx2qXC6rG2+8cd3SgOu5v8RxrBqNhvrmN7+5IWwfYODAjh49qt7//vevi+1nig3nsG6++WZ10003rXqs1+up2267TQkh1Mc//nGl1MmnhCRJ1CWXXKJuvPHGYff53r17V+V015sNuJ62K7V+lPC1tntlTe3P//zPT+qq3yi27927d13XzFra/sgjj5y0XjaC3Sde829+85vr2vow2l9ObfvFooSyYRxWnucqiiJ16623qmc/+9nDxwfpjq9//evqaU97mtq9e/dJF/dEGvvrXvc69b73vU/dcMMN6pd/+ZfXvWFyo9q+nnavN9NoPW1fb+r3etoeBMGGtHsjX/PR/rJ2uCgd1v33369e85rXqF/6pV9Sb3zjG4deXymlfvRHf1Rdfvnlw+L2ytPCu971LiWEUO985zuVUidHHGmaqmc84xnKMAwlhFCzs7PqE5/4xMj2DWz3yPYLY/tGtXtk+4WzfS1wUTmsOI7Vr//6ryvP89TTn/50demllyohhNq9e/ewd+COO+5QQgj13ve+d/iDDC7+vn371HOf+1y1a9euk4rK//7v/67e+MY3qnK5rCqVivqjP/qjke0b2O6R7aP1MrJ9Y9i+lrhoHFan01FveMMb1O7du9Xb3vY29eCDD6o8z9VnPvMZtXnzZvXd3/3dKggClWWZuvbaa9X3fM/3qH379p30Pr/5m7+p6vX6MF+rlP5hfvEXf3Eo9jloUv3PbvtGtXtk+4WxfaPaPbL9wtm+1rhoHNZjjz2mdu3apV71qlepZrO56m+vetWr1NTU1FD94IMf/KASQqg//MM/HOZYB6eGe+65R0kp1Uc/+lGl1PE87le+8pWhbtbI9o1t98j20XoZ2b4xbF9rXDQOqygK9a53vWvVYwP22Ec+8hFlmuZQj6vZbKoXvvCFamZm5qSGt6985StKCKE+8IEPPDmGq41r+0a1W6mR7UqN1svZYGT7hbF9rXHROCyljnv8EwuCb3/725VhGKsm1R48eFBt2rRJXX311cPi4OHDh9Uv/uIvqh07dqhjx449eYarjWv7RrVbqZHto/VydhjZfmFsX0tcVA7rRAwKh695zWvUzMzM8FQx+NE++clPqhtuuEEJIdR1112nnvWsZynLstRb3vIWlWXZBe0d2Ki2b1S7R7aP1svI9o1h+/lAKKUUFzme/vSns3PnTu644w7yPMcwjOHfFhcXec973sPevXtpt9u85jWv4VnPetYFtHY1NqrtG9VuGNl+IbBR7YaR7RsKF9pjPhHm5+eV53nDwXhK6dPFYKz3xYyNavtGtVupke0XAhvVbqVGtm80yAvtMJ8I9913H1EU8YxnPAOAY8eO8dd//dfceuutLCwsXGDrHh8b1faNajeMbL8Q2Kh2w8j2jYaL1mGpfqbyq1/9KrVajc2bN/O5z32OV7/61bziFa9AKYWUcvi8iwkb1faNajeMbL8Q2Kh2w8j2DYsnL5g7N7zwhS9Ul1xyiXrlK1+pKpWKuvTSS9WnPvWpC23WGWGj2r5R7VZqZPuFwEa1W6mR7RsNF7XDCsNQXXfddUoIoarV6lAHayNgo9q+Ue1WamT7hcBGtVupke0bERc9S/B1r3sdQgje8pa34DjOhTbnrLBRbd+odsPI9guBjWo3jGzfaLjoHVZRFEh50ZbaHhcb1faNajeMbL8Q2Kh2w8j2jYaL3mGNMMIII4wwAlzELMERRhhhhBFGWImRwxphhBFGGGFDYOSwRhhhhBFG2BAYOawRRhhhhBE2BEYOa4QRRhhhhA2BkcMaYYQRRhhhQ2DksEYYYYQRRtgQGDmsEUYYYYQRNgRGDmuEEUYYYYQNgZHDGmGEEUYYYUNg5LBGGGGEEUbYEPj/AzQi50elHojXAAAAAElFTkSuQmCC",
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\n",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -266,7 +266,7 @@
     "normalized_mask = rdtools.normalized_filter(df['normalized'])\n",
     "poa_mask = rdtools.poa_filter(df['poa'])\n",
     "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n",
-    "# Note: This clipping mask may be disabled when you are sure the system is not\n",
+    "# Note: This clipping mask may be disabled when you are sure the system is not \n",
     "# experiencing clipping due to high DC/AC ratio\n",
     "clip_mask = rdtools.clip_filter(df['power'], 'quantile')\n",
     "\n",
@@ -300,16 +300,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\filtering.py:745: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [16:28:13] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0750514818a16474a-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:873: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n",
-      "  warnings.warn(smsg, UserWarning)\n"
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n",
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:416: UserWarning: The logic-based filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\"The logic-based filter is an experimental clipping filter \"\n"
      ]
     }
    ],
@@ -329,6 +323,88 @@
    "execution_count": 9,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v1.55.2\n",
+       "* Copyright 2012-2020, Plotly, Inc.\n",
+       "* All rights reserved.\n",
+       "* Licensed under the MIT license\n",
+       "*/\n",
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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return 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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
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n=t(\"./compile.js\");e.exports=function(t){var e=[\"'use strict'\",\"var CACHED={}\"],r=[],a=t.funcName+\"_cwise_thunk\";e.push([\"return function \",a,\"(\",t.shimArgs.join(\",\"),\"){\"].join(\"\"));for(var i=[],o=[],s=[[\"array\",t.arrayArgs[0],\".shape.slice(\",Math.max(0,t.arrayBlockIndices[0]),t.arrayBlockIndices[0]<0?\",\"+t.arrayBlockIndices[0]+\")\":\")\"].join(\"\")],l=[],c=[],u=0;u<t.arrayArgs.length;++u){var 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2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var 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3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var At=function t(e){function r(t){return e?new Mt(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function 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+       "/*!\n",
+       " * @overview es6-promise - a tiny implementation of Promises/A+.\n",
+       " * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)\n",
+       " * @license   Licensed under MIT license\n",
+       " *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n",
+       " * @version   v4.2.8+1e68dce6\n",
+       " */\n",
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h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],257:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function 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Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],263:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return t.push.apply(t,this.leftPoints),this.left&&this.left.intervals(t),this.right&&this.right.intervals(t),t},i.insert=function(t){var e=this.count-this.leftPoints.length;if(this.count+=1,t[1]<this.mid)this.left?4*(this.left.count+1)>3*(e+1)?l(this,t):this.left.insert(t):this.left=m([t]);else if(t[0]>this.mid)this.right?4*(this.right.count+1)>3*(e+1)?l(this,t):this.right.insert(t):this.right=m([t]);else{var r=n.ge(this.leftPoints,t,d),a=n.ge(this.rightPoints,t,g);this.leftPoints.splice(r,0,t),this.rightPoints.splice(a,0,t)}},i.remove=function(t){var e=this.count-this.leftPoints;if(t[1]<this.mid)return this.left?4*(this.right?this.right.count:0)>3*(e-1)?c(this,t):2===(s=this.left.remove(t))?(this.left=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(t[0]>this.mid)return this.right?4*(this.left?this.left.count:0)>3*(e-1)?c(this,t):2===(s=this.right.remove(t))?(this.right=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(1===this.count)return this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],440:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],441:[function(t,e,r){\"use strict\";e.exports=i,e.exports.isMobile=i,e.exports.default=i;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,a=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function i(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?a.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],442:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],443:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],444:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],445:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],446:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],447:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,a){if(t)if(e){var i=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=a(o)).workerUrl=window.URL.createObjectURL(new Blob([i],{type:\"text/javascript\"}))}else e=a;else t=a}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return i.solve(t)}}i.prototype={clone:function(){return new i(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=e.x+r*(this.x-e.x)-n*(this.y-e.y),this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},i.convert=function(t){return t instanceof i?t:Array.isArray(t)?new i(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,a=((t-e)%n+n)%n+e;return a===e?r:a}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,a=e;n<a.length;n+=1){var i=a[n];for(var o in i)t[o]=i[o]}return t}var h=1;function f(){return h++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function g(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function m(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var a in t)n[a]=e.call(r||this,t[a],a,t);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ei.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=this.symbolInstances.get(n[r]);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function a(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,a.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(a,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=this._layers[n[r]];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Xe=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ir=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,a,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*a)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var a=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(a)},{originalEvent:t})}}):i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(i)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,a=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},va.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},va.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ya.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wa))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new va({customAttribution:e.customAttribution})),this.addControl(new ya,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):i!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ea.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ca.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var f=h[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pa[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ra=0,Fa=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fa)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ra--,Fa=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qa.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qa.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
+       "/*\n",
+       "object-assign\n",
+       "(c) Sindre Sorhus\n",
+       "@license MIT\n",
+       "*/\n",
+       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a,i,o,s,l,c){var u=e+i+c;if(h>0){var h=Math.sqrt(u+1);t[0]=.5*(o-l)/h,t[1]=.5*(s-n)/h,t[2]=.5*(r-i)/h,t[3]=.5*h}else{var f=Math.max(e,i,c);h=Math.sqrt(2*f-u+1);e>=f?(t[0]=.5*h,t[1]=.5*(a+r)/h,t[2]=.5*(s+n)/h,t[3]=.5*(o-l)/h):i>=f?(t[0]=.5*(r+a)/h,t[1]=.5*h,t[2]=.5*(l+o)/h,t[3]=.5*(s-n)/h):(t[0]=.5*(n+s)/h,t[1]=.5*(o+l)/h,t[2]=.5*h,t[3]=.5*(r-a)/h)}return t}},{}],475:[function(t,e,r){\"use strict\";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),u(r=[].slice.call(r,0,4),r);var a=new h(r,e,Math.log(n));a.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&a.lookAt(0,t.eye,t.center,t.up);return a};var n=t(\"filtered-vector\"),a=t(\"gl-mat4/lookAt\"),i=t(\"gl-mat4/fromQuat\"),o=t(\"gl-mat4/invert\"),s=t(\"./lib/quatFromFrame\");function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function c(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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+       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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\"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"datetime\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"ac_power\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('cd2c712e-aaa1-47e6-a9e4-d3ef5031cdca');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -93061,7 +93185,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93101,7 +93225,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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bcXlygqyqamrZX//6V4YNG8YTTzzBnXfeyZ133onZbOa0007jnnvuSU0MfT4fQL+OacnlXq+3z2clJSVpP69bt67POQ0ZMqSPsBo0aFDGYyX3lxwTwH333cdVV11FXl4eJ598MoMHD8bpdCJJEosXL2b9+vVpJgO/+c1vKCws5KGHHuJvf/sb9957L5IkMXPmTO666y6OOuooQBcHAO+88w7vvPNOxvEABIPBtDHtbewDxefzpXqeDWRfyfHW1NTs8blJjndvYzaZTKn6wEz0dz5er5cpU6ZQW1vL1KlTufjii8nPz8dsNuP1ernvvvvS7sf+XDdFUTjhhBNYtWoV48eP54ILLqCoqCh1rW6++eY9GnwMlIE8+zt37sTr9aYJq335Hg6EPd3v5557bo/bJu+3yWTi/fff55ZbbuH555/nd7/7HQDZ2dlccskl3HHHHamXLl8VZ599Nq+++ir33HMP//jHP3j00UcBOPLII7njjjs4+eSTv9LxGBgYHHwMYWVgYPCVYDKZOP/889m4cSO33nor77//PgsWLEhN0A4//PDUG/Mv6/hXXXUVV111FW1tbXz00Uf8+9//5rnnnuPzzz/n888/x2azpcbT0tKScT9JV8BMjoc9XddAd17r6QjWH62trRmXJ8eQPFYikeCmm26ipKSEzz77rM8EOPlWvzcXX3wxF198MV6vlxUrVvDiiy/yj3/8g1NPPZUtW7ZQVFSUOsZ9993HlVdeudcxJ9ff29gHitvtxuPxZDSQyLSv5PHPOussXnjhhQEdIxndbG1tZdiwYWmfqapKZ2dnv32det/bJH//+9+pra3lxhtv7BNJWblyJffdd1/Gce/LdXvppZdYtWoVl156aR/Hy+bm5oPmKNfz2c8UhdzTs38wyXStk8d86aWXBtwDLy8vj7/+9a/89a9/Zdu2bXzwwQc8+uijPPDAA3i93pSpSDJa3Dvym8Tr9fYrHveVefPmMW/ePEKhEJ988gmvvvoqDz/8MKeffjpr165l7NixB+U4BgYGhwbDbt3AwOArJTs7GyCVxuRyuRg3bhyff/45Ho/nKxlDcXExZ599Nv/5z3844YQT2L59O5s2bQJ0gQe6fXJvEokEH374IQBHHHHEQRvPRx99lNGWOzmG5Jg6Ojrwer0ce+yxfURVMBjcqzDNzc3ltNNO4/HHH+fSSy/F4/GwbNkyQE+FA1Lntzeys7MZMWIETU1NbN++vd+xD5QjjjgCTdP46KOPBrSvww47LOUcqSjKgI6RvI6ZjvHxxx/3O7HeE9u2bQN0J7veZErp6zmGTJGcTOeaPMbZZ589oGMAqTTDfYkW7enZ37ZtG42NjVRVVR00kbEv7Ovz2ZsRI0bwwx/+kA8++ACXy8VLL72U+iwvLw+AhoaGPttt27YtLWK8N0wm04CueVZWFieccAJ/+ctfuOGGG4jH47zxxhsDPo6BgcHXE0NYGRgYHFQWLVrEO++8k1EotLS08PjjjwMwY8aM1PLf/OY3xONxLr/88owpdl1dXQcUzYrFYixfvrzPckVRUmLO6XQCsGDBAvLz81m0aBEff/xx2vr33nsvtbW1nHTSSX3qqw6EmpqaPj2lXnrpJT744ANGjBiRslsvLi7G6XSyZs2atBQ3RVH41a9+RUdHR599L1myJGMvoba2NmD3eR911FFMnz6dF154gX/84x8Zx7lx48bUdgCXXXYZmqbxu9/9Lu1+19bW8re//W2gp5/aF+i2+D37Mnk8now1VGazmV/+8pc0Nzdz5ZVXEolE+qzT3Nyc1tvr4osvBuC2225LmyzH43FuuOGGfRpvkqSVeW8xsnbtWu64444+61dUVHDyySdTW1vLAw88kPZZ8p4P9Bg7duxIpbj1JpnWuHPnzgGchc7ll18OwK233pqqqQNdnF1zzTVomsYPf/jDAe/vYHLmmWcyfPhwHnzwQV5//fWM66xcuZJwOAzoz+COHTv6rNPV1UUsFsPhcKSWHXbYYeTk5PDSSy+lPd+RSGRA0dueFBQU0N7envF5XLZsWUbxnoxeJr+LBgYG31yMVEADA4ODyieffMJ9991HSUkJxx9/fKrfU21tLa+99hqRSIQzzzyTc889N7XN5Zdfzpo1a3jooYcYPnw4p556KoMHD8bj8VBbW8uyZcu47LLLeOSRR/ZrTJFIhOOPP54RI0Zw5JFHMmTIEKLRKO+88w6bN2/mjDPOYMyYMYAeQfvHP/7Beeedx8yZMznvvPMYPHgwa9as4e2336akpCRVG3GwmDNnDldffTVvvPEGkyZNSvWxstvt/OMf/0ilKsmyzJVXXsmdd97JhAkTOPPMM4nH4yxZsgSPx8Ps2bNZsmRJ2r7POussXC4X06ZNY+jQoQgh+PDDD1m9ejVHHnkkJ510UmrdZ555hhNOOIEf/vCH/O1vf+Poo48mNzeXxsZGNmzYwKZNm1i5cmWqr9DVV1/N4sWL+e9//8sRRxzBqaeeitfrTTWYffnllwd8Db7//e/z7LPP8vLLLzN+/HjOPPNMFEXh+eefZ8qUKRmjYn/84x9Zv349jzzyCK+88gonnHAC5eXltLW1UVNTw/Lly7nttttS6VUzZ87kxz/+MY899hjjxo3jnHPOwWKx8Morr+B2uykrK8toIrInLr74Yu666y6uuuoqlixZwsiRI6mpqeHVV1/l7LPPzth8+sEHH+SYY47hqquu4u23307d8xdffJH58+fzyiuvpK0/f/58RowYwV/+8hc2btzI4Ycfzs6dO3n11VeZN29eRvE0e/ZsZFnm+uuvZ9OmTamozB/+8Id+z+XYY4/lt7/9Lf/f//f/MX78eM4991yysrJ444032LRpE8cffzzXXnvtPl2fg4XFYuGFF17g1FNPZd68eRx77LFMnjwZp9NJQ0MDq1evZseOHTQ3N+N0Olm/fj1nn302U6ZMYcyYMZSVldHe3s5LL72EoihpgtRisfCrX/2KP/3pTxx++OGcddZZJBIJ3nnnHcrKyigrKxvwOJN93ebMmcOMGTOw2WxMmjSJ+fPnc+WVV9LU1MRxxx3H0KFDsVqtrFmzhvfff58hQ4bwve9978u4dAYGBl8lh9ST0MDA4FvHzp07xQMPPCAWLFggRo0aJbKzs4XFYhElJSVi7ty54qmnnspoLS6EEK+88oqYN2+eKCoqEhaLRQwaNEhMmTJF/P73vxebN29OW5cMfY2S9LaSjsfj4s9//rOYM2eOqKysFDabTRQWFoqjjz5aPPzwwyIWi/XZx6pVq8SCBQtEYWGhsFgsorKyUvz0pz8VTU1Nez3eQOlp87xixQpx4okniuzsbOFyucTJJ58sVq1a1WcbRVHEPffcI8aMGSPsdrsYNGiQuOiii0RdXV3GcTz88MNiwYIFoqqqSjgcDpGXlycmT54s/vznP2fsh+X3+8Vtt90mjjjiCJGVlSXsdrsYOnSoOO2008Sjjz4qgsFg2vo+n0/8+te/FmVlZcJms4nRo0eLu+++W2zfvn2f7NaF0PtJ3XzzzaKqqkpYrVYxZMgQccMNN4hoNNrv/dY0TfzrX/8SJ5xwgsjLyxMWi0WUlZWJ4447Ttx2221i586daeurqir+8pe/iNGjRwur1SpKS0vFz372M+H1eoXL5RKTJk1KW78/W+2efP7552L+/PmiqKhIOJ1OccQRR4jHH39c1NbW9nsNampqxDnnnCPcbrdwOp1i2rRp4tVXX+33eDt37hQXXnihKCsrE3a7XYwdO1b8+c9/Foqi9HttnnrqqVT/MbrbHiTZ0zO7aNEicdxxxwmXyyVsNpsYO3asuPXWW9P6iyXZk7343izfe5O0W98Tra2t4ne/+50YN26ccDgcIisrS4wYMUKcc8454qmnnkpZ7zc0NIjrr79eHHvssWLQoEHCarWK8vJyMWfOHPH666/32a+maeKOO+4Qw4YNS33fr732WhEKhfbJbj0YDIqf/vSnory8XJhMprT7/+yzz4rvfe97YsSIESIrK0tkZ2eLcePGiRtuuEG0tbUN6BoZGBh8vZGEyJAjYmBgYGBg8B2ipqaGUaNG8b3vfY9FixYd6uEYGBgYGHwDMWqsDAwMDAy+M7S0tPSp/wuHwykL/LPOOusQjMrAwMDA4NuAUWNlYGBgYPCd4d5772XRokXMmjWL0tJSWlpaeO+992hsbGTu3Lmcd955h3qIBgYGBgbfUAxhZWBgYGDwneHkk09m/fr1vP3223g8HsxmM6NGjeLKK6/kqquu6rdflYGBgYGBwd4waqwMDAwMDAwMDAwMDAwOEKPGysDAwMDAwMDAwMDA4AAxhJWBgYGBgYGBgYGBgcEBYggrAwMDAwMDAwMDAwODA8QQVgYGBgYGBgYGBgYGBgeIIawMDAwMDAwMDAwMDAwOEENYGRgYGBgYGBgYGBgYHCCGsDIwMDAwMDAwMDAwMDhADGFlYGBgYGBgYGBgYGBwgBjCysDAwMDAwMDAwMDA4AAxH+oBfB3RNI1du3aRnZ2NJEmHejgGBgYG3xmEEAQCAcrKypBl491fEuPvkoGBgcGhY6B/mwxhlYFdu3ZRWVl5qIdhYGBg8J2loaGBioqKQz2Mrw3G3yUDAwODQ8/e/jYZwioD2dnZgH7xcnJy9msfOzqC/HN5HZ5wnHynlUuOG8qwQteXtv2HNe08vGQ7nnCMUDRBVVEWhS4biib26/hfNTs6gjzwXg2t/hiDcmz84sSRh3S8Pa+/RZY4ZnghRw7N+9pdwx0dQZq6IpTnOfY6tgN9Jr9s+htfcvmmXT7qOkLYLSaEgDGl2dS0BrBbzWhC8NOZwzn3SGPi+U3H7/dTWVmZ+j1soHMw/i4ZfLvp6Ohg+PDhacu2b99OYWHhIRqRgcG3h4H+bTKEVQaSaRY5OTn7/Qdsck4O2dk5NHZFqMhzMLxo4BPY7e1BvIqZM6eOQJKkAW2f5YrSEZfxxEw4rFZkWxYnTa6k1O3Y5+MfbJZWt7Gh0cfECjezRhdnXMfbHMWnmkmYJayOLLKzc8jJ+erHvLS6jaXV7fgiCq1RmcLsHJZv72BXuJOaLpUfzcjZ47Xc3h6kwROmMt/5pV/z7e1B/r22g85QnIKsUMaxbW8Psqq2E5AAgdvtZli5ldMmlB7SZyIT3uYoQWFlUlUBm1sC+BIWcnJyUssLct1s69IIaCBLsCsENmc2DquJuKrhdGUbE85vEUa6WzoH4++SwbebWCzWZ1l2tvF70cDgYLK3v02GsPqSEUIMeN3kJPjDmg4UVVCQZeVHM4YNeAJc6nYgSRCIJjDJMGVo/iGfPC+tbuMPizfhjyrk2C3cumB8SlwlBVdRtpU3N7VQ1xGhKNuKN6LQ2BX5yse+tLqNP7y4ifZgDEkCl9XEekUlqgisphg7PeE9jmt7e5DHl+3oFjr7du/2R5A1eMLs9IQpdFkzjm17e5B73qpmXaOXqKISjqvIgNNmptBlPeTPRm8q850UZFnZ3BKgIMtKRZ4jbfn29mBqXU1ASNHItVuIJlQq8hxMGZp/qIZuYGBgYGBgYGAIqy+LfZ1kJyfBG5t8BKIKM0YV0RmKD1hgVOY7KXXbafJGMMsyUUWjwRM+5JPnpdVttPmjmGWJNn+UZVvbqcx38tqGXTzxUR3huIrNIlOR56A420pbIE5Rti01qf4q2dDoIxBNYDVJxBStW4xoCKDFH6cwW9njuBo8YTpDccaUZLO5JTDge7e/gqzZF2FHe5AtzRq5TmsfEd/gCdPsj2I3y3hCcaKKhgxEEnEeXboDkJhadejFd5LhRS5+NGNYxijvpEo38YRGqzdCSNEACEYUIrEEFrNMsy92wM/7lxlt/CojmQYGBgYGBgaHBkNYfUns6yR7VW0nn9Z7CEQUognBkuo2po8sGrDAGF7kYvqoIuo6Q8QTGi2+GE8sr/0aTOQkVE2Q0AQS4A0rPL5sB+9ubqUrogAQUzV8EYUhBVkUZtu47LiqQzLmiRVu7BaZtoCCAFRFkJQqAjDL0h7H1eyL0OyN0BmMMWpQ9oDv3b48K8kJOsCbm1qIJzRcNhO5Tkuf8HRlvpPSHDv1nSGi3WJE6z6Z1kCUp1bWsb7Bu0+RtS+b4UWuPlG3pOhs9oZRNP2OSIDFLKOogiFuO13hBJuafMwaXbxfIuZAoo0D2fc9b1XT7I9SmmPn6lNHf22u90AwRKGBwTcDt9vNkiVL+iwzMDD46jCE1ZdEf2lN/SMRT2jEVX0yH46pKAltnyYyU6vyeXNTM1/sClCUbUVRxSFJqevJ6BJXqgZGliSQoLolQExR09YrzrZxxuQy2vwxmn1RtrcHv/JxzxpdzLEjCnh53S40AWqvLM62QKzfcS2tbuPxZbV0hePYzDLnHVUx4PEP9FnpOfmPJ1T8kQSlbjttgTjZdnOf7YYXubj61NH84pk1eEJK2meKKghElQGlNx7KSXVSdDrMMl80B9B63BMZsJplOoJxcp1Wxpe791sgrar1sLU1wLiyHFr8sYP6vXltQzOf1HbisJpp9UdZXef5xgiUL1NwGhgYHFysViuzZs061MMwMPhOYwirL4nhRS7mjC9hY5OPCeXuvU5GplblU5RtwxtJAPqkfml1G397bytXnjhqwMc9ckgeu7wRPKE4siTtU43Xl0VCE8QTAkkSfLy9g45QnHhi97hkYGhhFv9d00B9ZwSLSWJSZS5Xn/LVvtnf3h5kU5Ovj6AC3Swhqqj9ToqTaYTluXYaPFFqWoN9d9IPe0qB6zm21zY0s9MT5qgheXxa30WOw4w/AiVuG3PGl2TcrsETptETSVsmARaTRFsgTkm3uUkmvg6T6qTofPeLljRRZZZhzoRShhQ4qe8Mc9TQPGaNLmZpdRudoTgl2TY2NfsHJGK2twf5cGs7Lf4orf4okypzBxxt3JsxS3LfgWiCQFTBZjbTHoilPvu6R4J6CtvVdR7K8xz88oSRh3pYBgYGBgYGX0sMYfUlsb09yJubWugMxWnqiuzX5EnR4IXPmpg3sWxAk8PHl+2guiVAQ1eEhKrhDSuHPB2wPRBHBkwyqBq0+GJ6Olo3WRaZQbkOtrUF2dkZQRUaboeFFl90v6MG+zthbfCE6eoV2QE9BdDtMGO3mPrddmKFG5tZpqYthEmW2N4e3KeoW+8UuJ4k7+1OT5gWX5RP67sYnO9kUqWbNze14I8kWPhJPe9tbmNiRS7zJu52/Fta3UY4nh4dNMkSTqt+LjNGFfV73L2ZY3xZ9L5/c8aX8P6W1rR1inPszJ9Uxn9WN9DsjxKJq0ytKqAy34lFlnivug0JWLa1fa8mLg0ePcXwxNHFbGr27/Ga9GRpdRu3vPIFgWiCbLv+q7S3uGrwhEloAossEVIEqpbglXVNFLqsrG/wfS0jQT3TTTc0eqnrCFLfGUYIePrjeiaU9+/uaWBgYGBg8F3GEFZfEvtaY6VHIyJ9lptkaUAT2mQqkyYESkLDbNKjVU1dkUOaDjixwo3TaiIc6lHj04O4phGL62mPTptMZzBBVNFw2c3s8kb2OSWwZ5TFIktMH1W0TwYNsUTvEerOjnFVY3y5u1/nuVmjizl/SiUvr2tibFkOEUXLeN0P1P2vKxSn1G1nzvgSmn1R2gMx2v1R2kMKnzcF+KimgzX1Hv5v/jiGF7nwRRJ9InASkGUzM77czWkTSvd47J2eMJt2+cixW76S6OfS6jaeWF6LogpyHRamjyqiPRAj224hENWfjSybiQumVPLSuiaWb+8g225Jpdh9b8pgDivNobo7ra+/+9CTZFSsJRBj9KDsAbsLJqOUQwsc1HVGUjVevfdtNkkoQq8x1ARs7whx/3s1uJ1WjhqSd9BTDw+EniJ+Z2eYuKrhj8ZRVIHTasIbVli2td0QVgYGBgYGBhkwhNWXRHKy9ml9FxbT3lPyPKE4mhCpyA6AzSyTn2XZa1pSz1Qmf0RBFaAm9Imc3WI6JA57SWaNLmb6qCJeWrsLDTBL+uRSN4MAIaA9GEXV9PN1Wk2MLnEhAe9vadtnc4WkCLGbZdY3+GnxR/dpH0U5NsIdfcWIpgmO2kvkY97EUnZ5I6koRO/r3lM0DM537tN5tfiibG72k1A1HFYT/1ndQDCeoMkbwdedPiqAhKalxDRATWsgbT8WGWwWGbtZ5rCSPfc2afZFURIaDrOMktBo8UcHNNb9ZXt7kAeXbGNrawCHRSaiaFS3BogpGvHu867Md3L6xFI+re9ida2HqKIRU1SybGaqWwIsrW5jS7OfQDTB8m2djC/PoSLPsUdBO5BUzExMrHCTbTdT1xkh264L1UxElASqttsIJRm59UUSeIJxjhyad0i/oz1Jfn80TcMbieOymbGZTcSUBIqqYjaZEOjP8tc5hdHA4LvA0OteG9B6dXfO+5JHYmBgkMQQVl8SyRSmJ5bX4o8keGJ5LdA3VSjJrNFFvLGpma5wDAlwWExYzSac1r3fomQq01GD83hv8+6UKSn1f4eOpdVtLNnSnopUJQTYzGCSZADiqobVJBNUNTQhUDVBbUcITYNTxg3ar7f5Lb4oncE4sYSKpdDJTk+Y1XWejBPrnr20ACryHHjDcXwhhWQCnRC62cOGRi+LVu3cYwSsLNeOw2piZq90su3tQZ5YXsu6nV6sZglvOJ4SPwOJYJW47RRnW/miOYCqamxs8pFtNzOmJJvVdV0psSpLEuV5et1UgydMRzCGqVvMSoAsy+Q5LXSG4jzzST2vrt/FZccP5ftTh2Q4qsBkkrCbTUQzRPIOlN5iZ1Wth/rOEEpCS4nFmKJiNsmMK8uhIxhn/qQyCl021jd4iSm6FX48IXBYdVOUHe1B/JEEdrNMRyhGZyhOgyecSsvtL+0umYq5vT04YNGQ/C5vavJR4LKmzqnndq9taGZbWyj1siSJBmhCI5pQGZRjT6XefR2ESosvSlc4TkIVBCIKoKeO5jgsVOTZafVHWfjJzq9dCqOBwXcdITS0SPrLNNmRfYhGY2Dw3cQQVl8S29uDbGj04Y8kiCdUvtgV2WO9U2W+k9El2dS1yyQ0DYfVzLHDCwYkLJLRsfWNXjR0M4jkPC4SVw9pmtGGRh9RRUWC1Bt7h9nU3YtIoGkQjmtI6BPkmKrLGUUVrKnvYmLFwI0EkpS47Zhl2N4eYl2DF5fNzNMrFXIcFsyyxLAiF6NLXFS3BHh1QzNKQiOW0MhzWqnItzNrVDFLqtsIRhUSGtgsEvGE4KOaDjY0+DhyaF4fY42ezXgloNUfTbvXDZ4wbf4YYUXFHxUEYyrrG7p4Y2PzXutsKvOdDM53Ut0SIK5qfN7sR5YkIooZf9RMls0MCCRJYlxZTsqu/rUNu2gPxFLRN7MJrCYJTyhOTNHQ0J0O73l7K6VuRx/RP7WqgMkVHTT7oxyWYz+oDXiT0Tt/JEGOw8xlx1UBArNJxiTvfhsQTQhIqGxpCeCymdnc7N8daet+qMwmiWy73vS4wRMhFFNoDcSwyNDuj/HB1vYBpeXuj1lHZb6TZl+ENze1EIgmKHHb054NTyiOqoq072SSuAqqpvJpnYfGrsjXRqiUuO0MLXCyqs5DLKEiBLhseuR8+sgiPt7R+ZXX3RkYGOwdLRKg8f4fpC2r+OXCQzQaA4PvJoaw+hLoWafQ7IsQT2iUuO17tD9v8IRJqIJsu5ldviiaSLC9PcTgfOdehUUyOrZplxdVCDT0OafJJJE/IKv3L4+JFW7cDgut3U5oAN6oLp4cFgmhCSxmGSFEt1jQiCc0kGBMac4+TzQr852YZYnajlAqJVJJKCnh1OqP8nFtZ3dqpkRC7a59QRdDXZE4FpMJVRN6ZCeoEFcFqoCooqFpcaozTM6TzXhldFFY1xFKWydZayMEOC0yAj3SIZD2OuFPpqo9/XE929oCCE0CSRCJqURiKnFVSznmran38NvnQ1w0bTC1HWFkScJulggpGkJImGSJYERNiVwZ3e0wU31Q0q59X1Pk9kYyereh0Ze6708sr+Wy46qYXJHLyh2dwG7DDRlwWs2ccFgxLf4YxTk2Rha7WN/gxSSBRZboDMX5YGs7BVk2JlW6dSc7qxlNCPKzrETiKptbAlhkqd/avX2ti0yK6VV1HrrCCrmOvnbqs0YX8cr6JjozmKIk0wNbfFEmV+Z+LWqtKvOd5DosbGzyEevufaYLcz2aLEn6eGtag2TbzV8L11EDAwMDA4OvC/L+bNTc3Hywx/GtoqfZgFmWMZv0ifSeRFJlvjNlgZ2fZcVpM3NYSfaAhUWzL0KbP5a6oVazxOiSbH4+e8QhnajNGl3Mn8+dyNjSbCwmCZt5dzQioggSAmKKhqLtFoRWs4zdYmJoYdY+j314kYthvbbRAJMELf4IcVWQUAWKqgsgwe5IgoYunrqCMcLxBO1BJRUBBD3iFlcFvojSZ0JZme8k22amMxSnKxxnly/Kki2tbG8PpsZ18thBOK16Wl0sobGpyU88oQ6o19nwIhejBuk9wUyyhKLqaZQJTZDQ9MmvKiCW0KNQDy7ZBgjs3bVK+gkIvJEEPUeuAXazrJsqtPe1iB9e5OqT1nigNHjCKKog22YmHFdx2Uwoqh5xO39KJTn29Pc9Av15Tl6vkhw7M0YVU5rrYFhhFnFVEO02QJEkyHVaGVfupijbxuSKXE6bUMqPZgzjxDHFIOm1e48v29HnfPe199yq2k4+ru2kMxhH1QSekII/oqTs1EF//i85tooilxVzhrRcDfBGFN7+vBWLSTokL0G2twdZtKqeRat20uAJE4onCMYS3Y299VTYcFztjgracDsslLntSPCl190ZGBgYGBh8k9iviFVlZSUnnHAC//M//8PZZ59NVlbWwR7XN54WX5S1O7uIKho2i4wswaTK/vtZDS9ycdlxVTy4pCbVy2nfJi16upoQYDVBjt3CqeNKmDW6+JD3y0lGQq75z3q6wrr9umB3aqDW/X8lOVZCsQRKQkPTYNGqnexoDzK1qmCfnP1mjS7iuU8bUHrYjMdVPTICIq0fUm8kwG4zYbeYsJokgnEViyQh0EhoYJX1ZsaSlD5LHl7kYu6EUpq8ETyhGIGowuK1TbQFYlx9ymgAdnmjOK0m/FG9fqjZF0WS4JcnjtyrJXhSBAwucFLdHEBCt+OHzCejdJ/vj2YM458r6vSapQzRBatZIj/LxsYmH7u8kYxCfm+9mvaVZFSkxSyTY7dQmG1ncL6TXd4w/1ndmKo9S2KSIa5oNPsixBJWHlxSA+j90Xb5ogghcFhMRBQVTyjOup1egjGFomw700cVps5nVa2HFl90j02AJ1W6kSRpr/cD9FYCodju6J8AYgmVtz5vQQhStvfzJpaybGsb7cF4n31IQI7dTLbdPGCb94EykO/99vYgN7/yOWvru9CEoDDbhi+sEIolUi8cXFYT2XYzw4pctAei7PSE8EcSmGSJNzY2p67Vof49Y2BgYGBgcKjZL2F1yy238Mwzz3DJJZfwv//7vyxYsICLLrqIU045BVneryDYtw6bWSbRHRFREhoRRaUzw8SqJ7NGF9Psi/Lcpw17nPxlotRtx2aRCcZ04aAJ2NzsZ2l1214L95N82ROjLJuJQEzGLIHJJBOKpbvvBWMJirNt7OqKEFFUQl6VF9fu4t3NrUwfWZQSKHsbY2W+k7JcOzVtodQykyThspno7I5CSez29UiKPBnIcZipKnCxrTVIMKZikSXcTgvNPj0KEdf0uplMKVClbjsmCfyRBJqAUCyRShsUQtAZijMo20aLP5Y6bos/RnsgtldRlaz9kYREntOKyZTAF1b6kVV6A+CjhuZR6nYwuiSHNn+UnZ4wve0OJaAzFOfoYfkZn7eB9GraH0LxBBKQl2XBbjZR3xnilfVNhOJ9TTJkSWJIgZPq1iDBWIKmrihmk8SkCjcbGr3EEhqxhIpJlnDZzHQGYzR6I9R2hNja7YpY6naw8JN66jpC7GgPMbHSnRYd6pm+azFJlOTY93pPPq3zoPZypYirsKXZT21biLe/aOGaU0Yza3QxlflZbGjyoSYEPbuKCfSUwFEl2Qgh+Nt7NQdFwA60XmxVrYfP6rsIxvRRhTojafWQAKG4iqJp/Gf1TkyyTCieQO4e99bWAKvrPACHvJm0gYGBgYHBoWa/hNUNN9zADTfcwNq1a1m4cCH//ve/eeaZZyguLub73/8+P/jBDzjqqKMO9li/MVTmO7vTaHb3rpElCW0AE6epVfmsb/CyvT00IJv2JM2+KAVZVvIcFhq9ESZVuvGGFV5ev4sWX5SjhuQd9ML9gbC9Pciq2k4WfrKTFn8MkySQZRMlOTZ8URNt/lhqEmc16VE3jfRC/0BUpbpFn8Ct2+nd6xgbPGFcdgtZFrnbJAOCcZVgXEUGJEl/C2+SJaxmWa+dEoI8pxW304JAv4duuwVvRMEfiSNJu1MCVU30iSYmG0JHFC2lXZQeIiyZZtYRiKUZGcgS1LWH9uhE19NCvjMc1wW0bw+iSobTJpTy/alD2N4eZHC+EwC7VabNH8cb1seU0MBmkgnFFD7Y2s74cncGi/h22gL6s+UNxzPWYu0rq2o9bGsLoqgaHYE4O9pDfeztk9jMEkPys5BlGZtZJhhNUJhtpSscZ32jV1/HIpNjN6NquptmY1ckpQy8YYUnPqrFajFR3RJA0wSSpNEVSn/J8dqGZpZv60CSIBLX+hjN9H7p0OAJE4glyHZY6Aqn108lNN2UorolwN1vV7Oh0UdNmx9JL+tDFvoziADZBFVFWRxWks3jy2oPioDd3h7s7osX3uv3Xo/gil5Leq8BsYQg1iNxNikO2wNx/rumgU92eFjf6KXIZaWxK5xWZ2ZgYGBgYPBd4YDCS4cffjh33303DQ0NvPPOO8ybN48nnniCo48+mrFjx3L77bezc+fOgzXWbxQ5TjNWk4RJgmy7mSOH5PGvFXU8tmw7v3t+A397r6bfmpY540uwmCQUVfDmppaM6/Uk2cfKG1F0AwVJoq4zTIsvSm17iBZflE/ru/ZYN5JsMFySY6MzFO+TjrU/JMXafz5tpNETRpL0SacmNMwmmaOH5mM369fIJOn1TZ3BGJnS21RNT3NMmgvsaYyV+U5MMrtri3qgoWfE2Sx6P55QTEUTAptZRtM0attDLNnShj+aINrdaNluNeMwy6jdkUBNwLKt7Wn3JWl8MLLYhVnWz8fabR4iSVLKgOKEMcWUuG3I6CluOXYzHaEYCz/ZmbHuJ8nOzjDLt3fS0t1byiTr6aW9kQCL2YQnFE8ZNPxoxjCOGV6Aw2KmIMtKjt2M1SzrIkJRUVSBL6zQFugrFj+t6yQcU9npiRBNaClb8QOjO5Kr6iK6v/Modds48bBB3DBvDD+ZOZxfnTSSCRVucuwWsu1mZEmiIMtKTNFo9cfoCsURCMrz7JhkCQ39HgRiCToDMczdyyQE4W63TNCjcv9aUUtjV4SdnggxJUFjVyQViUmaVNz3Xg33vFXN9vZgqqYuGOtrSqGfIQhNUNseYtGqera1hbCaZUwmyM2y6IYt3f0QdnVF+e9nTbQFopTkWAlEE2xq8u3XlU1+5z7e0Zn2vRdCsLS6rc/zNbWqgLGlOfv1h0BC7++2qcnPu1+0UNceYnVtF7XtId7Y2LzX31sGBgYGBgbfNg5K3p4kSUyfPp3TTjuNadOmIYSgpqaGm266iWHDhnHeeed9pwwvGjxh8pw2Th1XQmmug6OH5bOtNUhnSCGqqLQFYjy/pqHPRDrZQ6fZF8VqNnHUkLwBiZxkH6vDirMJx1Ui8QQt3giSBNNHFlLitnPs8IJ+Izw9Gwy/v6XtoBXRJ8XG+NKc7n5DukmFSZbIspn4aHsHCQ1kWZ+IBmJ6ypEsyeTazcjdgssiw+zDiplalT9gc4Fot4V7f4RjCWKKnqIpoQuLJl+MUFzFH1FIqBoJTcMsy8QUDYtZxirr5huTKnJSDo9JkhGprrCCy2bGaTWR57QyuiQ7Nc4GT5i3P28hqmiU5zkoy3Uwc3QxVrNpr2Ix26HX4Zgk3ZwioWqpkqlkWmNSoKiqRltAT+tLRgyXbW2nrkMXtw6rGZMsY5YllG7ji6ii8kWTn9c37v6erqrtZJcvitms/6IwyxIde0lnHQi6jXsueVlWrGaJDPoXs0lP6zusNIfKbtOXUreDOeNLUDSVdr/eo2p7e0g3IRGgCUF7IM6E8lzmTypjcJ4Th1V3eNQFdfd6QCyhpaLBL63bRUdodwTQH1Np6oqkxMGq2k7WNXrxheOsa/SmojFzJ5RSmuPA0s9vUd1MRMUXjhNVNCJxlXgC/BFFd74U+nUNxxPs8oaJxFW2tgaxWeR+mw3vjeR37qgheanv/ZzxJby5qSWjeB9e5GLGqKJ+o5+Z0J8FUvGriKIhSbrjpCxL2C1ymjA1MDAwMDD4rnDAdutLlixh4cKF/Pe//8Xv9zNhwgTuvvtufvCDH2A2m3niiSe4/fbb+Z//+R/efffdgzHmrz3JSbZer6FPMjpCMeTuiI0EqSatyRSdnql4FlnCYpIG7E6WPN7ybR0kVIFJhrCi0R6I8Wl9F4PzncydUNpvak7PBsOfN/sZU5qz1zSegdRjJce1vSOE1h1xEugugLlOKyU5KiaitPewolZUgd0sUZbnIDeWwBdNUOiykue0sqrWw5zxJUiSniLZX1NVXRBEkGVQtd1vD3rO38M9ZvOBWPrMXgMUVUPVBFlWCUnSzUBy7Lpt/PpGP0cPy0+7L8lIY7MvQqnbgappHDeykIumDU3d3wff38aOjhAy+uR6cIGTKUPzWN/gS1mBr2/wsssbSTPrqMx3UuSysa01kCZCetaIgR6Jk9An9F2hOLu8Yd7Y2Mz6Ri/N3ig5DjONXRFUTRBPqCgaPepp9NTA9BQ5CbMsISMR747yPLu6gQnlB1YD1NPG/amVdSypbktroJsUijs7wzz3aQOvrm/C7bSS67TiDcdo8ERRu0VS8vxVoZ9/JJ5gS4ufiRW5nH1kBUur2xhXlsOndV0EIgoyAotJTx1MGpC0+PqKWYtJIhBNdAtdSb9OIr3f9tSqfN7YmEWTN7MYNknofdq63VIS3eNN9lqWgZi6u3ebRQazSebksYP2+/r2dDZMfu97upRm6j21odHXr7Ayd9+M5Jj1iKiE1sMBRkL/voCe+hxVNILRBMu2tg/IBMTAwMDAwODbwn4Jq/Xr17Nw4UIWLVrErl27KCkp4YorruDiiy9mwoQJaetec8012O12rrnmmoMy4G8CyfSr1zc2s3J7J8MLs+gMxlA1QUzRkGVo8cUoz3OmRTN69tA5cUwxpW7HgPoHJY/XGYqxyxdBE/qkzu2wcOzwgj2KKui2epclPt3ZhYRuepGpz0+SgdZj9bwOO9qDhLtd+hJCIAmYWJHLe1+0pG1jNUlElAQNnWEkWZ8wN3RF+OeKWuwWE5Mqczn/qMo9GnK0B+KEY4nUZNAk6xGQiDLw9/Juu4UGT5hYQsMiS5TnOWnx665+TqupXwc3fySh21VHE+xo322esaq2k3qPLqoiiorTasZiklnf4GNSpZutrUFW13WyfHsHEjCpMpf/mz+O4UUuhhe5OGpoPh/v6KRnmmSms5GAomwrDouZV9Y34w3HU+Ypet8kvfYP0htJK5puuz5y0O5zmlqVz1FD81ld6yERVqgqdOINJw5KnRXALm+YnZ0htN4RK0k/j4QmaPZGUAXIcoijhuTR4osRTyR0oY5eq2SRQVX1f1stMiOKXVS3BijPczBqUDYt/hhmk4TFJKdcGU3y7qhsibvvi4tQXCWuqlTk6d/BSZW5tPiilLh3N0pORq22tgboCMRSwimJJvo2BU77nHRxnNDA3K0W91RztyeS37mevccaPOF+e09tbw9S3xnKuC89XVXisNIcqlv8JNTu9gi9TlQADqsJl1V3yzSbpAE3NzcwMDAwMPg2sV/C6vDDD8fhcLBgwQIuvvhiTj755D26AY4bN45jjjlmvwf5TWR4kYvTJpTS1BWhJRDjsJIc6j1hOoMx8hwWXA5L2uS8dw+d/XnTa5FlXDYzoZjeG6iqKIsCl40GT3iP0aXhRS598tQaYFxZDhFF2+OEaG9vwDNdhw+q2+gIxFAFWGWJrkic8RW5FGbb0iNW3a5p8e63+PlOM96Yqjc8liWqWwJ8sLV9j41ci7Jt2C1mVE1B1br7T/We9e7xOkJJroOOUJxCl5VgTKXIZaWhK0w4punpnBms8Jt9Eeo6QwQiCmaTRG17qEcRvz6xtzjk1BiPH1HIp/Vdeg+yQIxtrQHdxEHA+gZvXwOAPeQ2Suhi2mSSiMRVOgJxGjz6hNlmMVGR5yAUTxCKJjBJuruh1H2uiqYLzxyHOc1GfniRi6tPGc3TH9ez+LMmmn1Rcp3W/U5TS5IU5qtrPdR3hvoIRKtJwizpNYZJkwRVg8/quzDLEnFVd760msBlsxCI6ml8JkmPLb2/pQ2zLPOW2szI4hwmVrg54bAiHl9WS1dY7xN38thBqYjnmZPL+HBrGx09nkMhoKkryqraTkrdDs4/qhJJkvq86Ch123FazchyvI/jYsqgBD1N02YxAYJYQnTXUOprJF8ACPS0ulfW76K6O+K0PyYySTHekxK3nQnlVtqDcVr80ZRwa/CE0QRYTJBQ9TFYZAkBlOfaaemuXXPZLHhCfdNATehGFv5IApfVhNNqxmySBtzc3MDAwMDA4NvEfgmrf/zjH5x77rm4XAP7gz979mxmz569P4f6RtPz7fEub4RX1u/CIku0B+KU5O5+89173YFEqXqTTOc7Y2IZn+7sYmxJDh2hGE+trKMzFCfLZqbAaeXnJ4zoE23Y3h5kS7OfQDTB8m2djC/P2eOEqNkXYUd7kC3NekrfQJwLi3PsFOXY8EcTjC/LpqFLn9yZZLnb/VCvgbGYZTRFS022PWG951NE0YgqcUKxBEs2t+KyWwjFEhknb1Or8plY6WZtfRfxhEaOw0xHMLPJQG9MEowuyWHasHzW7fTSFohjNck4bGZMsoQwScQSGq+ub2bexLI017g3N7XoPbi63+q3+qOpPj9Tq/IZUexiR3uIgiwrDouJT+u7UiYlpTl2aloCkHSM64UnFMckSciIPlEQt8OM0l2/pmp6E+CeWDSB22EhP8tCfWcEq0nCG1GwmWV83Y528YSgIxDj/vdq+GRHJ1WFLoqybYBgdV0nsYSKJEmUuG1UdrsM7i9JYe6PxPtEecyyxOTKXDqCcZq6wkR7raCK3fb4igpyt7OjQ5aQJYmIourpsCaVz5sUtreFKHDZuHXBeP5v/lg2NfkocFlZ3+BjY9POVMTz6lNH88B7NTT5dlvhB6IKT3xUx5DCrNR6AItW1QMSU6v072+J244QgtrOcMbzFUBBlpWrThlFRzDOW5+3sMsbQYsKlG7n0G7DQCRJb8Zb5LKmpQrvD8l0XdCbk3eG4uQ6LCzb2o6iCgqyrMwZX0Ke08LOzt0RULtFRlEF3ohCrsPC6NJs6jpCGYVVUvgmNMHOrig5doXhRXoz8DnjS4xolYGBgYHBd4r9ElaXXnrpQR7Gt5fk2+OkQcS2tiBStwNegyecNvHI9KZ5oFTmO7GYJD5v9lNVmMWQwiw+ru0kFEvgjSSwmuI0dUV4cMm2PpGrVbUetrQGEEIjltAIxxP9HicpIOIJDZfNRK7T0qdZbm8aPGEUVXDSYYN4r7qNjqCCBIwry2F7e4jRJdlE4yq5WRba/THqPbtrVmwmCQ2B0v02PRLXqPdEsFtijCh2ZZy8DS9ycflxVbycZWNTkxdftJfQ6E4xzLaZCMRUhNAjCqrQo2IOqwxI2K0yNqG754VjCcIxNSVqmv2RtIhS8hzzs6yElQgWWcJlN6eK+KcMzUcIfbIeVTQsoTg5Dgsnjx1EVNHY6QlTkG0jGFFAgpGDXCnhvbS6jTc2NhPtITh7novbbgF0EwRPuK+AzLKaOeGwYsaXu/nP6gaa/VEmVuRSnGPnv2saiCp6vVVCQJM3yotrd2Ez6eNXBQQiekTIYpIIx9QDTu+qzHeiqFqqUXJPZAkC0QSyBEL06qgkSd3L9fROTYOCLAvtQhCK6r3DBAKrWSae0K+VELpgXLa1nR9MGwLoNUVbu6OzyXS1UreDHKeVVv/ulD5NQDShMqYkmw9rOrjzjc14w3GavNFUuub5R1UyON9JJK7i8EWIZIiMCqAjHKc9EOPKE0dR6LLx3KcNWEwSa+q70sSlWZbIsZtpD8YPKOKztLqNJ5bX4o8kyHHorqTleQ6EgI1NvlS0t8UfpTjHjsu+2zY+FFcZnOfgyCH5dIRidATjeEJx8rIseEMKKnqEK9tmwRtW0oS+ogrGl+vXdW+/FwwMDAwMDL5t7Jew+te//rXHzyVJwm63U1FRwRFHHIHNZtuvwX2T6fm2uNmnF8AfVppDXWeIeEKjxRfr0yvngOl+m5+ciyqqRjiW6P63wGGRCMUSaRPj7e1B3tjYTKMnTEITOK0mVI1+J89JAVHqttMWiJNtNw/YXKMlEGNyRS5jynJYXedh0y4/pTl2fjxjGC3+KELoIq/Zvwutu55DQ09RSpKcxMUUjbqOMBsz1PskxV+LP0pY0dA0gdkkkecw0xlSkGWJRELgj6opowStW1yV5NiwmEx0heM4LCasJhlfVGFdgzdtAhntNgfpeY7JCXY4niCW0IVDXNV4Y2OzLqpiCcyyRELViCf0KNybm1r41UkjmTuhlPUNXby6fheagCKXPbXvDY0+ooqG3SylTdxNEuQ4rAwtygL09EGt77yesJJgfLfhRGW+MxUVBdjU5OXzJh9Krw0T3dGvsKKmnPTiCZFWm7Sv6P2VdrGh0UdTVzhV69UTgaAjGCOWEKi9iq+sZpkyt532YJxoPIGQQJZlhhe68ITjFLmsbG0L6sYKQnf+A918RECqAfD29iCBiEJ1S4AxZbtdGxOqliZyLCYJTcA7X7TS2BWmpk3/HiXdGes6QkiSHpkpz3MwqdLN6xuaaQ/G+whgVYNnVzcwb2JZqlfd+kYvsqSLqYQmcFlNTKhwM6okh8NKs/fb+GHRqnoeWbqDzpBuMS8EVLcEGFbkItdhSTPGEUI/p+JsW0pYJfvuNfv1dg1jSrNpkiXiCQ2LWcIuSVgtJl3c9jq2LOlicWJFrpEGaGBgsM+89dZbzJkzJ/Wz2WxmyJAhXHTRRdxwww1YrQej5ceXTywW4//+7/946qmn6OrqYuLEidx6662cfPLJ+7yv2267jT/84Q+MGzeOTZs2pZYvXbq032ywlStXMm3atNTPTU1N/PjHP+bDDz+koqKCP//5z8yfPz9tmxdeeIGf/vSn1NTU4HZnTvnXNI1BgwZx7bXX8tvf/nafz+W7wH5HrJJvI3ungfVcLkkSOTk5XH/99d+pG5CsIdnpCbOzM0y82zGrOMdOQhW0B2MUuqwpy+6DIaxW1Xpo8UcZ3/0WvjjHhtthoSOgp+/oxfECp82UNuFJNjrNc1rwdaeQ7UksJQXETqAw28Zlx1UN2FyjsSvCki2tvL6hGV9EIddpSdUNrdvp1dPDonHsJpmAqmLqnnSCQFXTJ3EaumB46/MWTutlzpE0Ail0WalpDTKsKIv1DV6CcY1sh6W7/1AiNZGU0BvRlrjtlOXq5zdzVBGt/igtvigapFLmkph7NV9KT/sM88gH22n0RIgpGpua/Bw1NJ9sm5lALJGavDtMujvgki1tXHj0ENbUd9EVTlCUbcUbUVLPxsQKN9l2M80+fQwOM6hIjCt1c8HUylRk6843NvNRTQcxRUu7VrGElhKgyeu0qraT9oCeIlqUbafZH0HpKWCFfmWcVjMhkcCMwGY2c8q4/Uvv2t4e5OaXP2fljo7UcTJVZSqqbj7idlowd6eFyrI+npzusR4/sohP6zyomqAo28ac8SV8WNNBiy/KsKIsBufpQnNjk5dALEFhlg0hBFtbA1hNUreRjP6d2Nqy293SZjbpva66jTEKXTaKXDacVhOt/ihluXa2tATwhuOYZRkkiSVb2mgLRPXUuVAcm8WEy2YiGFP7iCut+4XFzFFF/GjGMJ7+uJ5GT5hwXBf4kYTKF81+6j1h2gLRtFThgbK0uo373q2hMxhDE/rv4zynmXhCo8hl1fuRKQmQJCaU5/RoSJ7ec2pHZ5gd3amNnlCMiZVuKvOz2NLsJ8duZkOjj6Da15pDExqybKQBGhgY7B/r168H4C9/+QtFRUWEw2Gee+45br75ZmKxGHfcccchHuHAuPTSS3n++ee56qqrGDlyJE8++SSnnXYaS5Ys4fjjjx/wfhobG7n99tvJysrqd50rr7ySKVOmpC0bMWJE2s+XXHIJTU1N/PnPf2b58uWcd955bNmyhaFDhwIQjUa55ppruPXWW/sVVQCrVq2io6ODefPmDfgcvmvsl7Bat24dl1xyCQUFBfz85z9P3cCamhoefPBBvF4vDzzwAK2trdx///1cf/31ZGdn87//+78HdfBfV3pO7D9v8mMxQTShUdcRSk3Ig1GV0SWWfgXMQOzMe66b7EPV6o8yqTIXIQRxVSDLEqZuK21JkmjxxdJSECvznZTm2Gn163bcQwqy9iiWkgJidZ0HIfTtBzLW4UUuXtuwi6dW1qdq/OMJlVynlY1NPnZ6wvjCcdoCcVwOM4omsJtlNMCkSYQ1FUmkJYZhliTa/LE+Jg897e6z7WbiCYHbaUWWwGUzIwEdQTWttkWWJY4cnM8Zh5en1bhtbPKxoz1Iqy+ClhCp48sSrK7zpLknJlM5k7VjekNkQTCqC6K5E0rpCOo9qHZ0hIgmdJe+lTs6afZFMcsyxdlW2gJxirJtqWdj1uhibj1rPM98XM/HtR6iiqpH3TSNkhx7KtXUIstk2y3IJPRIU/dYJUlK2agnm92ua/QSU1RAojzXjiccRxJqt5EF2C1mxpXlcPSwfD6s6cAT0k0fJhxAf6XajhBqhuhjT5JOhTFFxWnVI4aaEJhlvbbNYpIYNSibxq5IKp1N6g5JRRSVQDSBqoIvol/zmKIRVlTe/aKNuKqnuSZFFUAoptuCzxhVRI7DQpHLSrNfj0Q2+6KomuDCowfT7IvS6o+T67DisJooz7WzoyPMhzXtRBWVI4fksd4TIhJXM4oqkwQV+Y7UPR1e5OKiaUNYXeehuiWAjEDtNhSxmmRafNH9eumyodFHMJpAliWUhMDefS8FsLU1SE1rICXs6zpCFGXb+NGMYUwenMvf3t2qOyjKEO92WZQEqEIQiiXIsVsozLaxqclHJENaKoDFJLPLG2HhJ/UAB8U90sDAYGDIVieFZ17XZ9k3iQ0bNmC327nyyisxmUyALlKGDBnCs88++40QVqtWreLf//43d911V8oR++KLL2b8+PH89re/ZcWKFQPe1zXXXMO0adNQVZWOjo6M60yfPp1zzz23331EIhHef/99li5dyowZM/jpT3/KihUreOutt/jJT34CwN13343b7eaKK67Y43hef/11hgwZwrhx4wZ8DpkIhUJ7FIvfZParQfBf//pXBg0axLvvvstZZ53FhAkTmDBhAmeffTbvvvsuRUVF/L//9/9YsGAB77zzDtOmTeOhhx7a636DwSA33ngjc+bMIT8/H0mSePLJJwc8Lq/Xy49//GOKiorIyspi9uzZfPbZZ/tzigdEcmLfEdRT5RQNEt0pRLIkceTgPMryHIwpzaGhOzWpJ8mIV6aGnplIGlecOLqY4hw7Y0pzeGFNEx3BGDaTBN3NO0cVZ3VHUHypbYcXuTh/SiWnjivhf44Zyp3nTBzQZGjdTi/vb2njnrequeft6gGN9eMdHt06u/tnXySBxSQxodyNxSR1CworbrsVm1kmlhBISBTn2CnIsqTtSwJcdjMWU986jqT4+8nM4fzf/LFUFWWlDCGavTGavJFu6/HuNED0NLedXeGUqEqmE25o9BFTNCZUuPU0QbnbClwVbGkOZGyCWpnvpMBpRZIkrN21SkXZNt1UoyKXIYUuDivJIcdhwWaWSSQEDZ4IZpOE22llbFl2H3E7a3QxvzttDCeOKabAZaU425ZKJ00KW0UTnDp2ECW5dgbl2LCZpe5o3G4b9QZPmGZ/FLtZxiRL+MJxPt/lJ6aomEz6nVFUCEYTbGkJsKUlwNlH6GLTYpL5z+oGFq3auddnMhNyhtSxPki6ecLc8SX8ds5hXH/aYRw5JI+qQhcTKtxcdlxVn0bRQoCiCUYWu/BHFNoDUVp8ETqDMYLRBIFInHA8QVWhE7Ms6b2ZukkaYSQjsWaTjEnWI5gyusCr6wyz4PAyLjl2CFefOooJ5W6avFHiCZUh+U4E8PkuPxaTzLiyHMwmCZOkP+cS4LabOWJIHj+fPaJPTeU1p4xmdIkrFS2LKBrhuEqJ276fqXSCiKKmLNFN3bV+wwqzQBJpqY4RRWPJljaGF7n43pTB/PLEkRRn27CaTPp3tDsFVNOgpi3Efz5toMUbwWU147Rm/tOhJDS8YYWV2zu55ZUvWFrdth/nYGBgsD9IZgtZhx2f9j/JbNn7hl8j1q9fz7hx41KiCsBqtVJWVobP59vDll8fnn/+eUwmEz/+8Y9Ty+x2Oz/84Q9ZuXIlDQ0NA9rPsmXLeP7557n33nv3um4gECCRyFwfH41GEUKQl5cH6C9bc3NzCYf1rISmpibuvPNO7rvvvj06fAO89tprzJs3jyVLliBJEi+++GKfdZ555hkkSWLlypUA3HTTTUiSxBdffMGFF15IXl7ePkXtvmnsV8Rq8eLF3H777Rk/kySJM844gz/84Q/8/e9/R5ZlzjnnHH7/+9/vdb8dHR3ccsstDB48mEmTJrF06dIBj0nTNObNm8f69eu59tprKSws5KGHHmLWrFmsWbOGkSNHDnhfB0qyWezGJh/zJ5XSEYyzbGs7CVXgiyhEExqlOXY2N/vZ0Ojr04upd0+rvb257lnDNHpQNkKQ6pkU1fT6CVUT1HsimGQJrVcfmzc3tXQ3M9ZFzt7ekvcc34fb9L5Lx48oZHOLLjT6i15NG5bPJzs6UxGrslwHlx1XlRJyDy7ZRjCWIKHpzXmtFpmEKtBUkRYFkNEn6Vk2M+PL3RlTpnpGj5bXdNAeiKGhmz0kNN38QALMMmhIuB1m6jtDPP1xPRdNG9LnHpxzZCWraj28vK5Jb3KsCiJK5l9iw4tcnH1kOU3eCFFFZViRK1Uvk0wXFELw4JIaNjT6sZh0Z7vx5e5UVChT3dg9b1VT2xlCUQUxJUGJ255KJ+39DATjCdY3eFE1FbMs8WFNB1OrCtIilPGEhiTpdTGg1+Qlr7EAokqCuo4QY0pzsJpNDM6z8V51Gy3+KOsbvAO2Ak8+Y06LXpuUvP89rSnMMtjMJkaXuDjvqEq+P3VIavupVQV93DJ7OmiCXl+2vsFLuLuHmAZIipYSKy6bGX80QZZNj8pubPJhkvS6rfwsa+relOc5eHJ5LZ6QbtjRFUnw+sZmXFYTp08qY3y5m/ZglI5AFEWD9Y0+xpXnMGVoPpub/TR7o1hliYgqUn2qNHSjlt5uiklxesrYUpZWt1GR56CmLcgxwwr4wbQh+5lKJ2Ez61G+eELvWaabYcSo7+jrWljbEUpFXZPX/NO6LrLtZgKRBJtb/NR1hrCaZGKKRiCawGbWXQN3HxGs3Wo1KdxK3faD2vPMwMDg2088Hqe6upr/+Z//SVu+a9cuvvjiC2bOnHnAx1AUZcACLT8/f69CIxNr165l1KhR5OTkpC2fOnUqoGd9VVZW7nEfqqryy1/+kiuuuKJPf9jeXHbZZQSDQUwmE9OnT+euu+7iqKOOSn2el5fH8OHDuf3227n99ttZsWIF69at4/777wfgt7/9LXPnzmXGjBl7PE5LSwtr167llltuYdasWVRWVrJw4ULOOuustPUWLlzI8OHD+7RZOu+88xg5ciS33377gNykv6nsl7DSNI3q6up+P9+yZQtaj8Jzm82G3W7vd/0kpaWlNDc3U1JSwqefftonZ3RPPP/886xYsYLnnnsuFRI9//zzGTVqFDfeeCPPPPPMgPd1oCQnkj0b2J42oTRVf9MRjKe5c31a38XrG5tTtUK9e1rt7c11b6v2VbUeLCYZums8j64qwB9VWLGtA01ILF67i4kVucwaXZyyvk6m4Q3EUKPn+Epz7CDB5pYAzd4wf3m7GpvFxIRyN1efMjptP1eeOAqAJdXtVBU4+fkJI9NSEotcNoKxhG5OoKiIuIokQWtAI6rsfp40IMti4qQxg1JOb/01VF1a3Y43omAxScR6TAZlScJi6U6TEgKHxURnKM4nOzqJxFXmjC9JnaNFTtrB6y8OTJJI9ZvK9MtBNwRpoTMUQ9NgZ3cfsaTY6znGB5fU0BlScFpM7GgP0thloqlbKKU7N3ayrtGrp0cKQY7dggByHZaU4Oj9DDR1RXBYEgghqOsIpep7rj51NKvrPKyq9fBBdRuxhEZMUVP9lJKE4xqe7pTWgiwrm5r9qKog12HZa/+yniRFaqnbzra2QMoMw2qWsFvMxBMqI4qyaPHHOeGwQWmiCjK7ZfZe9qMZw7jzjc1s7wgiIdC03X29dAE/FEmSWLa1ndr2ECZJr9tSNfi0R0rnL08YSWcwxsKP60k+clFFf/6e+WQny7d10NgVTpmI+CNxCl02TptQyoRyNy+v34U/qtDsjRBWNCT06N/7W9qIKlpKjPZssh1TVEyyRIMngstmQus2cUme574wscJNfpaN1oDeZ03VBJ/t9KYEZm9afNFUKu329iDrG3z4owksJpmfnTCCBk+YP7y4ifZgLGUCYpJlbGaZLJtMTFHJy7IwpMCFN6xH6Nc3+GgLxCjIsh1wzzMDA4PvDl988QWKolBVVUVHRweKorBhwwZ+97vfYTKZuPXWWw/4GMuXLx9w+5/a2tpUDdK+0NzcTGlpaZ/lyWW7du3a6z4eeeQR6uvreffdd/tdx2q1cs4553DaaadRWFjIF198wd1338306dNZsWIFhx9+eGrdxx57jHPPPZd///vfAFx11VUcd9xxrFixghdffJHNmzfvdUyvv/46drudE044AUmSuOiii/jLX/6Cz+dL1WW1t7fz9ttvZwymTJo06Sudix8q9ktYnXHGGTz00EOMGDGCK664IiWaotEojz/+OI888ggXXHBBav2VK1f2KaTLhM1mo6SkZH+GxPPPP8+gQYM4++yzU8uKioo4//zzefrpp4nFYl+ZO2FNUwf1O3cypryA7R0h6toDnDhW/0K9sbE5ZdKAkGj0hGkP6LVRm3f5ufrU0fvV06r3RHN4sYvPm3xYzTLLt3fgj+g23y6bjDccT71JTtq0twXi5DjMtAVivL6xmQnl7j02FO45vgZPmD+/vpnNrbvTwzzBeFoD5CRXnjgqJbCS6G5xzXgjCiOLXbT4ojitutFDttWEogpM8u5GqhJQ6nakRFVygto78geQn2XFJEuoqtBrrOwW4gkNTQicVjPjyvU3Sk1dEXLsFo4ckpeyik7Wki3b2s77W9qIKSo5djNd3Y1kI4rGg0u2U+p2pL2Vb/CEafLq0UG7WSKqqBnf3M8aXUyzL8ITH9XS4o/S2BXmiMF5VLcGMtwDPa1PCN04I9th1sVzj7S2nhHPUredvCwLjd3OlBaziV3ecEqAfm/KYEpy7GxtDdAZiFHgstEViqdZoFvk3WLyRzOG8frGZhZ+XM8ndR4cFn1/AyH5jG1pDu6+gUKvxznr8DKWbe2gxa9PyntPxLe3B1lV20myb1RPN8vekdGuUJxEYnefL4HeNLvEbafUrb+cmD6ykAZPGItJRgA5djOBaKKXSJT6iEyAuCqoaQulLVM0eO+LVjoCMVx2M96wQiiWSDkeJqNWZW57Wl+q5AsNu1nudgeUUDX9Gf28yU+23cKRQ/P6vJzYG6l6vE/q2djkIxBVCMc1MmTMAhCMqVS3+IHMkfLk/pZt1V9QtPiiDC/M4rVNzaiaoDTXQSCawBuOE1U0cp1yqmfbjFFFRrTKwMBgwGzYsAGAP/7xj/zxj39MLZ81axYfffQRkydP3uP2p59+OhdeeCEXXnhhv+tMmjSJd955Z0Dj2d/5aCQSyTjfTM6VI5FIn8960tnZyf/93//xxz/+kaKion7XO/bYYzn22GNTP59xxhmce+65TJw4keuvv54333wz9dkJJ5zAzp07+fzzzykrK6OyshJN07jyyiu5+uqrGTJkCA8//DD33XcfQgh+/etf89Of/jTteK+//jqzZ8/G4dD/nl588cXccccdPP/88/zwhz8E4NlnnyWRSHDRRRf1GW/v/X1b2S9hdd9997F9+3auvPJKrrnmmpQKb25uJh6PM3XqVO677z5AF1sOh4Pf/OY3B2/UGVi7di1HHHFEn7Dt1KlTeeyxx9i6detew6kHi6bNa/j3b3YXEv4LMJlMmCw2hMmCZLam/iuZLEhmGyaLlc9sdtb9q4DFT/+d4cXFfSZUbW1tvPTSSzgcDux2O3a7PfXvnv912u2MLTCzsw0G5WaxscmP0t3XJxjTKHDtnsAOL3Jx2XFVPLikhu3tIWJxlUc+2M7gfCeTKnL7Tffq2Z/rgfdr0kQV6L1wqlsCe71WyTf31S0Bmn0RvGErWVYzgZiCRZaQJJlsh0wwopDojoJazTKnTyqlwRPmpXW7qO8MpVIRe0dR5k0sZU29Hr2xd/enavZGUDUoy7Vz+XFVVOY7UwKqxR9LRQmTE2BFFanJ5szRxbz9eQvhuIosiTSRmqQy30l5roPGrjBKQpDvsmZ8c79oVT33v7eNtoBuNa8K+HBbBzl2M8+ubmDl9k4G5zv50YxhlLrtlOU6CMUSFGbbsJhkjhqSl3bOPaMgFlkiqmiYzTI5NjPZNjNvbmrBajalGsP+Z3UDbf4YqiYoyDZhNdmIxBMpUZHvsiF3m60ML3IhhG72kFA1/AmNFz5rYmpVwcAm/injEV1V5dpNyLJMocuWatw7vlcK5Pb2IDe/8jkbGryAxMRKNzfO1wtme4vpBk8YVUB+liXVt8xukZk9uogGT4R73q4m265bjZu7j9vsjxJLaBnrmWR2N7/dG4FYgvWNPspz7Zw0ZhBdoTjhuIqmJbrFmwVZlvtEn1t8ei1YRNEwyXr0LMuqC75YQmXtTj2S/csT9i2NOXkNr/nPOoIxPWqmdL9YyGTH7+9uwt1fpHzW6GJmjS5maXUbDy6p4dOdXQwrzEKSJIIxvU7yyCF5bGryU+q2M39SmSGoDAwM9pmkI+Brr72G1WqltbWVO+64gzVr1uzRqS7J5s2bGT9+/B7XycvL46STTjrgscbjcTye9BrroqIiTCYTDoeDWCzWZ5toVM8kSAqT/vjDH/5Afn4+v/zlL/d5XCNGjODMM8/khRdeQFXVtFo1l8vF0Ucfnfr5iSeeoKWlheuuu453332Xa6+9lqeffhpJkrjwwgsZPXp0KrqnKArvvPNOmnnIYYcdxpQpU1i4cGFKWC1cuJBp06ZlDKZUVVXt8/l8E9kvYZWfn8/y5ct58cUXeeutt6iv1x2gTjnlFE499VQWLFiQEjh2u53HH3/84I24H5qbmzPmh/YMvfYnrGKxWNqXwO/3H9BY8mx9Xw+rqoqq7v0N/8rN9FuAuG3btrRiyIGSFHAlF95BTvkI5k8qozLfmYpeHObW2LboVmo9MVTZgmSx0WyxUpuXjWdFOWMqCvqIOU9U4ItDICFT3yLI9CgNpD1o8s19PKESS2iYZImTxhazodGXqjmpyHUQiqvUtocoztFt6jc2+vjXynqU7ugTwKhB2X0myEnhuLHJhxCwpLoNt8PS3QhZpcUfTU0Cky0CevYP6j3ZLMu1oyRUNJF0TtMocFn7HPPy46voCsfxRRSqCrPS6mu2twd5amUdL3zWlKoHAlL28hV5TnZ5oxS5rHSG4qyu87BupxeLSU7Zi69v8PWZAPeufdM0wdB8J22BOGaThKIKJlXoAnFjk49mfxSXzUQsodHsjTIox87QwixcdguKqte5uaxmSnLsKefJqKJfb5tZ7tMTbU/3uNkXJRhVUqYhUVWQa5UpcFlTE/ferKr1sKHBS6BbKG1o8LK6zkNJjr1PZKVn7VienDQ80Q1kmn0R4gmNErfQBaymEYwnsJtl3E4r00cWpp3D6BIXdotMKEPqXCY0AfFEApOs94cqzrFht5jIc1po9keZNqwgVTvX8zglbrueptmpR9ASmkZM1dA0PRoaiCb454o6Cl3WPumRA8FhNWONJtA0gcNqZkRRFjXtQV30dQsskyyl+qD1rA1Nuj8mf0cA/OOjWra2BlPNkZPfq2Vb21m+rZOucJxoQsVikg9uf76vkNWrV/PPf/6TJUuWUFdXR0FBAdOmTePWW29l1Kj0SPvmzZv59a9/zUcffYTVamXevHkpi+ieaJrG3XffzcMPP0xzczOjRo3i+uuv5/vf//5XeWoGBl97NmzYwJAhQzjttNNSy4444gjGjh3LQw89xF133dXvttFolMbGRg477LA9HiOTIOqPpFDKxIoVK/qkFCZTB0tLS2lqauqzTXNzMwBlZWX9HrOmpobHHnuMe++9Ny1lMBqNoigKdXV15OTkkJ/ffzuOyspK4vE4oVCoT51XEr/fz+9//3vuvvtusrKyWLRoEeeeey4LFiwA4Nxzz2XhwoWpc/zoo4/w+/1p9wb0qNWvfvUrGhsbicVifPzxxzzwwAMZj7k3QfltYZ+FVSQS4fe//z2zZ8/m7LPPTku9O5QcSOj1jjvu4Oabbz6oYzkQ+qtH29/9ikQckYhjt1oYX57DzFFFaW/8ZxbHWLfszT7bdQHVb+x9/0f85G7ITf9lZpGh1KGSnZ2dFlHrHV1TJTPbOmMEEjJOh52Iw4GpspDOiEZszHQCtkGsD/oAgdVsQpZk/JEYX6z7EAUTTocdIVtwFpRx/sTBlGebUwIJ0uvdLLJEtt1MU1eYYDRBtt3Csq3tlOTY02riepph9E57fG1DMxazCVXoNUlOq4my3Mx2tiVuB7NHF/eJKt3zVjXLatoJxVTkHg4OsgRuh56qKNDYtMvP6BLdjKQzFE9FqMpynRkNHXrXvgXjCdoDMYYWODn7yPI0MTah3M3mXX5a/VFiiopZlhlR7OLT+i6y7RbsZhl/JIEqBG9uamFSZS4Ws0yp284uXwRJ0vuYDcS5rjLfSULTum3A9ZROVRNk2fR6nKlVwX4m4bvt7XVBJKhuCVDSLZp6CsvhRa5U7RiQuoevb2wmEleJJ1R2+aJ6bZDVjKZBXpaVcEzlzU0tqcjb9vYg7YE4g3IddAZi+KMJ3Y5fIs1RrzeyJJOXZeXEMcVpz1NVQRatft06vWftXNKFsCsUx2qWEOjtBVw2E57unmmq0NMbn/lk58Ajg900+yJE4onuVE5wWGTqOsNomkASpM4p12lJiaie35XNu/wg6ZEu/YWCg027fCiqHgFr7IrwwdZ2Wv1RgtEEjV1hNAGaFsFhMR20/nxfNT17vEycOJGWlhYeeOABjjjiCD7++OPU2/DGxkZmzJiB2+3m9ttvJxgMcvfdd7Nx40ZWrVqV1sT097//PXfeeSc/+tGPmDJlCi+99BIXXnghkiTxve9971CdqsG3EDXso/H+H6Qtq/jlwkM0mn1nw4YNKYOHJGPGjOGoo47iv//9b5qwSiQS/PGPf+SRRx6hoKCAG264geHDh++1gXAmQdQfe6qxypRSmEwdnDx5MkuWLMHv96cJm08++ST1eX80NTWlUvSuvPLKPp9XVVXxq1/9ao9OgTt27MBut+Ny9f87+JZbbqGqqoof/EB/Xnbt2pVWk1VWVsa6detSP7/22muMHTu2z/X43ve+x29+8xsWLVpEJBLBYrGklQJ9F9lnYeVwOHj00UcZO3bslzGe/eZAQq/XX399Wqqi3+/fq2PLnkgec3/pb6wHul+b3cH0kfrb1OQb/0/ru3h6644D2u+IsgKCcSll8SxLMLggi3ybRDAYJBgcmDV3Z/d/k7Yol984Fs1RTkxREULvNSVJgkg8Tv2TV6dtux1Y+KvdP1ttNpwOB7LFSlyYyXI6SEhmCtwuDj/9YvzFk1P1VBubfKnr8e+/30/ncndalC7534jdTkedj0hjMxFhQjLbCIRtbKlt4IhSfT2zWf9K9ZdWlbQ7z7KaiCoqqqannQ0pcGK3mpg2rIBNTV5aA+ANxwnGEpS6MwuJTIYOPV0H//NpA8FogqIcG1OrCvqIsWQKZHsgxuZmPzVtQWKKRq7DwrpGL6omMJsc7PSEmTw4l1ynhVa/jNNqJsuW+S1eJoYXuTh57CCqWwLEuw1EdIfM+B5NMKZWFTCpIpf1jV60biFW3RJImYtIkpQmLDNdk9MmlNLUFWGnJ4wsS7olemkOr23Sm1SX5zpSzopAqrG3P6wQjCZSduxZFhMWi0RXKLG795neyQAhYEJ5DjaziVK3g5mj9O9YMkqaNKlJCuzkczCp0k2zT/85oqg4rCbcdjOra7tS49eE3gttX4RKUiCpAnKdZsIxFW9EIa4K3ZWxe/x5WRYq85yplxB7cvt0WHU7eFmSiCc0fBGFj3d04o8oFLr0BsxOq4lwPIEnFP/GOj795je/4ZlnnkmbnF1wwQVMmDCBO++8k6effhqA22+/nVAoxJo1axg8eDCgp52ffPLJPPnkk6nMgqamJu655x5+/vOfp97iXnHFFcycOZNrr72W8847r9834gYG3yVaWlpoa2vLmMp36qmnctttt7F582bGjBkDwO9+9zs2b95MbW0tgUCAY489to8LXSYOVo3VnlIKzz33XO6++24ee+yxVB+rWCzGE088wdFHH52aX4bDYXbu3ElhYSGFhYUAjB8/PqOF+R/+8AcCgQD33Xcfw4cPB3SjiN4R8vXr1/Pyyy8zd+7cfh0Nt27dygMPPMCyZctSv/8HDRrEli1bUuts3rw57fxff/11Tj/99D77KiwsZO7cuTz99NNEo1HmzJmTOpfvKvuVCnjkkUeyadOmgz2WAyLpKNibgYRebTbbQTW2uOSSSzjvvPOIRCJEo1EikQgfbdnFg+9+TqcvhFNW8YfCKPE4mhIHNU62WcNp0nCYNBr9CiMziKvs7GymTZuW2mc0GiUajRIMhYlEo2gJZc8DM1l454tWirJtWGSJdza34gnF6dzeekDnO7g4l5p2M6qmkNDAYTExuiSb/L0bQe6RY0eXskbNYl2jl4SqIUkSHcEYXn9or9vGYzHiPYR2Utp1Apdedhm+ily2t4ewmKSU693mlgDrX32S1ZG9778nP70ffgrceuut/P73v08ZK/Sc/F/3s8tobW1FmKw0+hUCCRlVMiNkC2arjRq7ndKCHD773M3mtgiKZEE2Wdi4w0lt8Wx+NOOIjGYmgUAAs9mMzWZDluU0m3lvWKEiz0FHMJ5yBOzdRyn586JV9WxrDQCCNTu70DRBXpaVZl8UkywhhGBnZ4hmb4S4quGwmtjU5BtwDdDEilxGFLvY0R7sbowMnUGFgFvpN+o1vMjFjWeMSzXRrW4JpKJ2kiSlBMzemFTpZvLg3FQkqSUQY3yZm65wnIQmyHVaUiYsycjg1hZ/Wo1VIK4iK7qbpN0qoXY/5xFFxWExpdVQ9Y6SWkxSj55bIhUtjidUFFVw8thBfFrfhcUk4Y8ksFp0a3MAu9WEy2ZilzeSsmffWzPuBk8YfyRBtt1MRyCGKkQq9qd2R6tsZj01NMdhTl3//tw+C7KszBxVRKs/Sl1HiIQqcNnNjCvN4b3qNoKxBHaLiYSqR4pNssSbm1q+kemAPQvBk4wcOZJx48aluWb997//5fTTT0+JKoCTTjqJUaNG8Z///CclrF566SUUReFnP/tZaj1Jkvjf//1fLrzwQlauXPmt7udiYDBQkvVVmUo2TjnlFG677TZee+01xowZw65du3j88cfZtm0bubm55Obmcuyxxw6oae3BqrHaE0cffTTnnXce119/PW1tbYwYMYJ//vOf1NXV8f/+3/9Lrbdq1Spmz57NjTfeyE033QToQiWZjteTZISq52cXXHABDoeDY489luLiYr744gsee+wxnE4nd955Z7/j+/Wvf80FF1yQFh0899xzOfPMM7nhhhsAeOWVV3j11VcBPXK3efNmHn744Yz7u/jii1Nu3H/605/2en2+7eyXsLr33ns57bTTGD9+PJdeemnqLf2hZPLkyXz44Ydompam0j/55BOcTmef/PgvE7PZTE5OTloIeK3fgaVUxV2gElZUkv2mFU3v4WOSJPKydXG3ZqeXkYP65sXOmDEj1XCtJ0nTgvZAhFwrzBjm5v53vqBmlwdZjZNQFCQtDnYXOz1hFn5SD0IiFE0QUzRc+UXkT7+QRDwOiRhaQkHW4tgklZEFNpwmLSXikoIuKeaUeIxxlQUsaY8CEnYz5DjM2M0m3t4wsCZ4/WGz2ZleUciYshw8oTgf7+ik3R+FRPyA9ju4KJfy8SU8sbwWRRWsb/ClRNCTSt+o50Cx2+1pBhJJk4gGT5jlKz+mualxj9v3zcjW+a+yi8tOn5FxknriiSeyevVqYHdbA4fDASYLfkUGky7ctvwjj9L8nLQo3PTp07n44otTQqArnMBpNeu1Mjs3EYoGMFltePOy+eu2jTQFVDDbkMwWWkNWrFY7SzfvbhOwN7JsJtRe7gmlbvset+0pFHe0B/m0vovB+c40MZYUspno2aPtsuOq0iN6qxto9kdTqZhJYfFpfRfxDHl/EiBJgmhcIAH+hIbVLFOeZ+eMyWWp2ryl1W1pNWAnjimm1O1IE2/JaHFSdA3Od6aewfUNXbzzRSvhuNrt5ifx/pY2Ptzanpaet6c+Yr6IgjesoAqBJIGq6r9nVE039ci2mynOsXPkkP7TXoHUtQI4/6hKJEkX2UmBOrkilxmji2jzR3nhsya6wnFsZnmf7Pi/7gghaG1tTU3ampqaaGtrS+sTk2Tq1Km8/vrrqZ/Xrl1LVlZW6i17z/WSnxvCyuDLZuh1rw1ovbo7533JI+mfpCNgpojVMcccQ3Z2Nq+//jrXXHMN7733HlOmTKG4eHdtbnt7+16NK75K/vWvf/HHP/6Rp556iq6uLiZOnMirr766115R+8KCBQtYuHAhf/nLX/D7/RQVFXH22Wdz44039uvE/frrr7Ns2TK2bt2atvz000/ntttu4/7770cIwR133MHcuXNT27jdbo477riM+5w/fz55eXlomsYZZ5xx0M7vm8p+KaJLL70UWZb5yU9+wpVXXkl5eXmf9DVJklJvIA42zc3N+Hw+hg8fjsWidxU/99xzef7553nhhRdSyrmjo4PnnnuO+fPnf2VW6/2jpyFZHDKaJlJua0pMRRKgaIJY90RtX8k0IbKvascatWMx6ek7miaIJzQS8QQ1rXqkZlCOHVkGKaeY0tn/Q0zRi9pVATYTSLLMtPGl3HPB5D0ef9Gqndit27ArKuG4Sps/xgtrmzCpUcb+5D6uOKaCw4odaVG2nW1e2roCOEwaDlntE4Xr8AZY2qAgBdspyLIyqdLN6rpO/NEEqppAsjoRahzUzEYfeyL5rFrNppSZgyRJHDcsr1/jkIFgt9v7TJyfWF6L1WzCF9i3KFhPtntiqT5LvemZHpo0YcnU/HBtPazNsO+LL7445XxYnG2lsSuKzWzCv+Z5Gjbq+eDb9jC2GmDxr0w4eqRMzp07l8cee2z3+LuFmyeo4Fv3JtHm7UhmK7LFwqYdhfxu25tUFOX2qcFL/rsjovHKpg58cRPuwkHMGV+SZrueTN9r8UVxOyz4IgolbnsqAhRPqKkebf83fxwzRxWxtLoNRRNM7+EmOXNUUcpWvisUR+0MpQwsTN09nBB6CqDNLBOMa2iaoM2vC/3+DE96mqEAqc96iqmekciZo4qYWJHLE8traQvE2NkZRpag3hPGapKZOaqIFn9sj8KlxG2nONvK1tagbgLTGgBJwu0wUZrrYMrQfLa3B1lS3caW5t1tHnq6fSbFas/6wznj9dSQ3uNeWt3Gxzs8ZFlNtAXiFA2w/u6bwMKFC2lqauKWW24BdmdB9NenxuPxpNp7NDc3M2jQoFS6Tc/1YM/9bA62qZKBwdeZa6+9lmuvvTbjZxaLJe357+joSEs3a2lpYcWKFTzyyCNf+jgHit1u56677tqj4casWbMGnDa9dOnSPsv6q8PaE6eddhqBQGbH5uuuu47rrruuz/LXXnuNU045pd8giizLmM1m5s+fn9Ej4KabbkpF5L4L7LcrYEFBAaNHjz7Y4+GBBx7A6/Wm/uC88sorNDbqb/p/+ctf4na7uf766/nnP/+ZVlh47rnnMm3aNC677DK++OILCgsLeeihh1BV9aAaU+wvU6vymVSZS11HiLwsKyDY3qan9iS6rahVTTCiyJVmnjBQeqZ1La1uI8dhYUi+Uy/Ez7GS0LoL2hUN0BBCoj0QY3SJixmjivGE4ry/uY1WfwSREMRUQNV4Z3MLi1bV93El6znxemNjM63+CEoyd6r794RqshPKHU6jvZxfz52ctu3jy3aghOLkZFm5LMOb96XVbSz8ZGdKoDT7dIt0p9VE1bBK3L99nriqoSRUbJJKllkwe2QuH29tpqHdh6bEsZs0zp9czDFD3WnC7fDDD0dz9a2BUlWV888/P03g9UznjEajBEIRQuEwajy2+0S7cTgcaZNqi0mioSuCRZYy1v8NlKAip5q49uZA6u6SAjNppLATcNpMOK1m3o4NPCqoqSqhUIhQSBePXV1daZ8nnR8lCcK16wht+Sj12cru/w2EqnFHcuJvH0mbpCb3vX7xo2xb8QY2ux1VspDjciJMFoRsIY4Zp8OBx2HnmveLGFGaT0ST2docYSMmiosHUTH3F4D+PUrWZdktJro62qjKkTDZbFS3RSnKc7GtUyGmCczdL0d6R+H21IduID3qlla38dK6XQSiCUYWuXirvYU19XqzaYtJ4u3PWzlyaF6/wiV1Pz1hnFYzLf4Ypu6+XZMq3EQTgsauMJ83+bCYZJq6ImnPV8+oazJd8agheWkvCnpHzHo/Qz0jYd9ktmzZws9//nOOOeYYLrnkEmC3idDezJJsNtvXylTJwODbwujRo7nzzjtpaGjAbrdzySWXIEnSgPqlGuw7s2bNYvr06f1+vnjxYtrb27n44ou/wlF9fdkvYZVJOR8s7r777pR9O8ALL7zACy+8AMBFF13Uby8Dk8nE66+/zrXXXsvf/vY3IpEIU6ZM4cknn/xSBOBA6N3E9PyjKlPpZ0pCI9dhRaCgKBoaoHWn7RwoyUkOQHmegznjS3hzUwuNXbvTpeKqwGISjCtzM6HczZubWsjPshKKK4RjKmFFQ5YgEFN54qO6NFey3hOvRm8EWZKBzPbUOzrSzSsyNSLtPcHsmZYViCp636bBebwXUciyW5g5OhtF01hd6yHLZkZRNXZG7aiuQchaLpbuIv1PFRc/nHZkxglspgnus88+u8dru7S6jceW7eCLJi9doRgiEUdKxDn78EGce+5UcnJ2T5yXbGll+bYOVA3yT/oJM4dlM21ITkq0rd3RyubGThLxGF2BEA5ZJRyJQCKOqsRJKHFIxDG7cvsdz4E4UCYnd5kinp/8VdBygPtNkmwQ3BmKI2t7qQPcAzFMfXpBgd4PqrW1jbi3laQc7J0Y6O3+746P6EPVyMMYfu/ut3Q9r8c/7nuRJ2+6p+9GkoxssSKZrdhsdq57Ipvbshxp0bZBgwbx1FNP9dm0wRPm9SUriTRsYsKQorRttnZEWfhpCyFVRpPMNGRnIRQJs9lKQjJhsdqxWeSMzbczjX99g5c3NzUTjMq0BmJ8ttOHy25GAjwhBanb4r89EEsbX6Z0RUsvy/6e39vkMZP94DY2+djljewxXfHrTktLC/PmzcPtdvP888+nTCaSLyQGYpb0dTJVMjD4tjBnzhzmzp3LuHHjqKio4IQTTqC9vb1fswaDA+O3v/1txuWffPIJGzZs4E9/+hOHH344M2fO/IpH9vXk0BdH9aKurm6v6zz55JM8+eSTfZbn5eXx97//nb///e8Hf2D7SO9amx/NGAbsTj/7sKYDWdJ76iQDPf5IgvXdvXoOZDKSaaL83uY2FDX9zbqiaqyq9VDbEUJRBePLcmjyhrFZTN2RLZAEBGJK2ph6T7zMki4KTWRuqvpFcyAt6tWfY17vc5jTXQdllmW8YYXtHaFUTceUofk0eMJ4wwqhWIIsm5mEKnBY9MmP1p2ypYr+HdUyucjtjaRobfCE8UZVTGYzZlMWw4YOSdXUJfe7eG0TIJHrMGGaeBKDJ5dx9fmTU/taWt2mp3v5YzR26b2MLCaZiJIgGFN1kwGLzLiynH6jmKtXryYUCqVF2D6paeatDQ2UZpmob/NyVKWLwW5Ln+hbsraj9wsAgLEjq0hEAnqULhgmHImQUGK6Bd5e6C2skr3E7nm7mu3q/gurIcWZG1aXuO00O6SUq+S+EtFMfVItk//eUNeWeSOhocWjEI8SDvup7+q7Xnl5eZ9lS6vbuOWVL6h57w0a33x0v8YrW2wc+dRKhNAj4T3H/f7773P33XenxJoimdnRHMYbk3A47MRkCzGHHUwWApHuHndmK6/FtpHv38YFp5+c9v1MpiuCXmv01uet/X5vMzXU/qbWWfl8PubOnYvX6+XDDz9MMz9KpvH1Z5aUn5+filKVlpayZMmStBYQPbf9Kk2VDAy+Lciy3O880OCr4+GHH+bpp59m8uTJxr3owX4LK7/fz0MPPcSSJUtoa2vj0UcfZerUqXg8Hp588knOOOOM73RYNlNUpmcUZpc3gjccJ9FDiQggGEukvT3eX3rWStzzVjUf7+ik95RY1QSBqEI0oVGQZWVTsx+LSWbasDw+2NpOVFFBgKbBsq3tqVqRynwnFlniw20dlObYmT+plBc+a6LFFyUUT+AJpU+eYwmNRz/YkYp6DSQdKonVbGL6yFw+re/i2OEFzO02StjeHuQ/nzakRFVFnoP3vmgjrOg1UrIE2XYzo0v6Ng0+0Ov6oxnDcFhNvPhZI5IkIUlQlJ0+AdreHsTtMGM1ywRjCSwmmSEFztRnq2o7+bCmQ69tyrExd0IJsiTREYzz4tpGTJKEqgmKs+38fPbI/mtpMtjBlo4O0p6ji/pph+/Z5KDnC4CYojKsyMWs0UWpKHHPdeo7Q3ze0Ek4GsWGyhEVWVw8tYwih5wm7DJNFpMNgNs+OYGuyirsskqxU0aJx5BUBVlTMqZeJv8dj8epKHT3OY+k0P34AFItMVkzCoAGTxh/aP8jgpmiERsafQSiCdxWwZ6tTPpHSDKvbmhmxbZOjhyax9WnjE6Nvb6+njfeGEDzuV68Bbx1D0zY0czEqpI+38833niD008/HZvdjsVqx+Gw898sZ5+6OM1koTkEXHFzvy9Nvu5Eo1Hmz5/P1q1beffdd/u0FikvL6eoqIhPP/20z7arVq1K61EzefJk/v73v7N58+a0/Qykn42BgYHB1xlD3GZmv4RVY2MjM2fOpKGhgZEjR7Jly5ZUr6L8/HweffRR6uvrue+++w7qYL9JZIrKJCflr29spsETxmSSsEmCaLdfgoRu4dx7kn4g9OybFI6pacl6WTYzbYE4rm5hMmVoPpub/XQE44wa5CLXaaWpK5Lq95Q2+ZT08SLp/YZK3Q6eWF7LjvYQ3pDSJymwMxRLi3oNJFrU+8353B7uc6tqPaxv8GI1ybT4o2xu9hOK6So1yyLjtJmYMaqYn80ecdDfmA8vcjFzVBHvfNGKP6qQY7NQkrM7SpOMRCmqYFihk66wgs1iYk19F4tW1bO+wUd1a4A2f5QTDiumxR9jUqVeM/PA+zVE4iqqJtAAJZEpBrj38Q1UuCZfADjMMh/VtLO+0cuyre3AbjGU3N/TH9ezuTmAxW5CkqCTLKwFlUweoO35rNHFPPPXGwc0rt5omkZ1s5el1W1pkbXk2EaYr0cL/IhdnX7e3dhIPBYlxyI4ssKVcrXsKdbavQG2NnmIRKOUVY1M2aT3jNxV5jvREgfmEtmbiRVuvUm1b//NTCSThYQqCMcT1HWE0r6XB9rrrj2iv37p/f2MRqNomkYkHCYSDuP3Qn9NGhxZ2fxxTHEf045vAqqqcsEFF7By5UpeeumlfvvinHPOOfzzn/+koaEhlZ733nvvsXXrVn7961+n1jvzzDP59a9/zUMPPZTqYyWE4JFHHqG8vDyjvbuBgYGBwTeX/RJW1157LYFAgHXr1lFcXJxmeQm6BWTS//67Sn+T22Rx/Adb22jpNmQwAUhgMcu4nda0SfqBUpnvJNtmJqEJsmwmYgmVePdcPRRL4LSZOG5EARFFY2JFLhPK3Ty4pIbOkG7XbDOb2N4eSrO4Tqb7HN/DUQ306NLIIhdNXelv+SXAajpwt8P0SZremUeSIKqoRONaKiIXUnTL/fbggUf+9sTgfCdFLivtwXgqzWd7e5Anltfyxa4ARdlWBOB2WJCAL3YF8ITiZNstjC/N4T1/lM93+Rk1KDvV32hLSwBN7G607IsmeGJ5bcaeQJlS+JIMNM0xKV5X13kQAgbnOWjxx9nU5KOyO+Uxuf9Rg1xYzRKqJhFXdWfLZH+lgU6g9yf9EqC2M8w/P25MS61NE+lnnsD29iC3vPI5saFDKcq2kuu0ctrM4f32u9reHqSxK8Iub5inVtZT2xFMM2YAGHv+NcjH/VCvDVMVJE1hWK6FhnY/c8cWcPq4wj5GJ8l/5+bm9jlmUqw+3jKWzdHjsMvpos8XDBEIhlGVOKKftEnJrD9XEUXDH02kuUodSM0dsqnfZrX7sl9hsrBup3e/THgONVdffTUvv/wy8+fPx+PxpBoCJ7nooosAuOGGG3juueeYPXs2v/rVrwgGg9x1111MmDCByy67LLV+RUUFV111FXfddReKojBlyhQWL17Mhx9+yMKFC43mwAYGBgbfMvZLWL399tv8+te/ZuzYsXR29q1sGDZsGA0NB9bD6NvAniaRxS47Bdk2ApEEI4qzaPBEGDXIhSzLfax5DxSX3cygHDsJVdAWjJEI6xM2ARRk2egIxrGY9P40zb4I9Z1hAhGFaELgtMqMLXOnWVz3VyNVkGWlujWQcj3sDCnIgEkmZfG8r/R3DadWFTC5ooNmv97Atq4jjNBESlyZZdjWFmR1nQfYe1PVfSWZgtYZimcUncXZVtoCcYYWOgB9fEXZVsyyjMUkpfUAStaLdYbijCxysb0tiIZACHBYZPyRRJ9UtUw1fPtzbknxWp7n4NnVDbT442TbzRS4rH32P7WqgKOG5FPbGcIkSRRkWXl/SxvrG7wDOv6ehODetnttQzM7PeGUO93rG/v2z+p97TNZfvceQ4MnzOPLaukMxlE0jZPGFNMZiqf6N2kCnHYbCdWaEryNQmZQVSmnnzQ2JZT2hVmji5l19w3ADX0+S5qjqJrGmrpOEnEFNaGbmGiJuG6WgkAGKvMd5Dqsab8vpk+fzm//eAsrtjYTCIaJxWJ0BYIk4jFMmsKIAhsus6DLH2Rnuw+PP4hIxBFKHIvF3O/vnn2JhNls9tQ1/KZFrNatWwfobrSvvPJKn8+TwqqyspIPPviA3/zmN1x33XVYrVbmzZvHPffc06cu6s477yQvL49HH32UJ598kpEjR/L0009z4YUXfunnY2BgYGDw1bJfwioSiVBU1H/6T38e+QY6DZ4wiiY4+bBBvFetm0pYTDJN3ihVhVkHtS4hOdk8acwgvabHG06l6ZmEnnoYiCpk2y28uamFslwHkbhGNKGLlFhCwxOKp024+oskJV3BXt/YzPoGLxIgy2A2yQctLainzfv0UYV0BOOs2NZBgyeMJnYboOs9wQTtgdhBESC96emC1tPPoaftdGG2jTnjS6huCeALK9gtJkYNys7Yuwh6CFOnFYdFpt4TwRtOIEuRPr0uBuKsuC/n8ssTRjKh3M2mJh/jy3Xnzfe3tKftf+aoIq4+dXR3lCfC+1vaBnz8/RWCvftUfVjTgS+isHJ7J01dkX4tvwuzbVx2XNVexWiy5qk4x0pdR5h1DV6OHV6Y+g5WFWTRGYwTiiaIqxoIEGjMGFW4X6JqbyTPYX2jF7PJjMVpJqLYMEt6WwYAuxmEkPTvJVLaszFlyhRCOUPwdLcq2NwSoCLPgT+icNTQvLS2CTe9vImnVtSjokeVx5fn9Pu756yzzuLII4/M2Iog2Zfu7Q07aejwY7LqPcS+ifVV++J4O27cON566629rifLMtdffz3XX3/9AYzMwMDAwOCbwH4Jq7H/P3v3Hd5U9cYB/HuTtEnTPemglNJC2bvsjUJZgshSkCECiggoCAIyVUDBCT9QHIBQGVYQEFS2IBvZAgVa6C7du0mb5Pz+qLk2TdqmadIk7ft5Hh7tvTc3b25ukvvec857mjfHmTNnMGPGDJ3rf/nlF7Rr165agdVm6hYfdatFPWcJfrudhBxZMaLT8hGXUWDUlhV165KTnQj1nOyQkFUAuYJBCeBRah6EHIcBLeohPb8Ifq52EAo5PkFRqID0/CKtC3tdLUnqZSk5cjxIzkVBkeLfua0YolPzqtRlTBddk8E+TstDVuF/k/qKOMDRzgbFShUauEvh4SDGrfhsk1UpO/MgFU/S8rHvWjze6BuMPiFefNLJGMPeK3G4EZ8FhVIFZ6kNwlp667wgL52oHbmdhGsxmWAAFCqGrIIi3E7I1nicPpUV9VG6BadPiBf/HFGpeTr3rz52iVkFfBlufZ7f0ERQ/Th1S5WPswRJ2TJ0DHAtt+R36YS/9OvTFUPr+s4QiwSIzSiEUMjB2c4Gbfyd+cfMGxiCK08ysOdKLO7E58DD0Qbp+cXIlSkqidwwpcezpeTIkCsraV1WlPr4FSkAsQ2HZt6OOlu4SxfJKVYqkVVQBKWKobBYyReQiUrNw+n7KSg99ZyPk6Tc98TV1RWurq7lxn06MgXxPrHo5yjGnaScCsvBE0KIuezYsQMffvghoqKiYG9vj6ysLPTp0wdA5TdWTp8+jb59++LUqVP8Y6xRbXkd+lixYgVWrlyp90TMxmBQYjV37lxMmjQJrVu3xujRowGUDC5/9OgRVq5ciQsXLuDnn382aqC1SdkLwMO3kqBUAU28HPAkvRB3ylxEG+u5GGPYeu4x0vPkUCoVUDBAqWRQgPF36j0cxAh0t0eUKg85MgVEAg5CDkjO0ewKVF63rqjUPNxPykFhsRLFypI74SIBkJorr3ZSo74w9nCwxcOnefBytOULVqgpGFBQpICjxAYj2/uhU6AbbsZlVTsB0eXy4wxcfZKBgiIlFEqG9UcjkZQtQ6dAN/Ru4onTkSlIypFBIhKACQVQqliF3TzViSljwL3EHBQUlVRlVDCGJ6n5WtvqW6CiPBW1IpW3/9KPsRFw6K9nkQJDE0Fdpb9/v5NcYclvXbG629sirKU3n3Cou776u0kRGuiKv2My0dbfBWl5Rfj9TrLGWKtxoQ3AGMOjp/eQnl8MsUiAjg3LTzIMUfbzNKFLAP56mKpVYVNNJCiZfLqNv4vOY6CequBpdjGScmRwldogPrMAOy/GYEKXgJLiOQIBhBygZICtkEMrfxeD4y99syiknqNVjq8ihNRu9+/fx+TJkxEWFoZ3330XUqnU3CFZncTERGzZsgUjRoygqqblMCixmjBhAmJiYvDee+9hyZIlAEombGOMQSAQYPXq1RgxYoQx47Q6lY0nKX0BqK4U9ig1H2KRAO4OtkaNpWzr0if5kXj4NA9KRcnExAIA/q5SfsD+zbgspOXJUVCkhLOdCEIBh8jkXL7FqaILcnU3x2bejrjyJBMcVzL1kbokenWoL95iMwrgKBEhu1ABWyGHYpXmnQiRgIOAAziOM0oCUj4GhYr9O7EzQ3xGAX66GsePOfJ3k8LHSYKnOTJwKJlvSZ9j0CnQDc18nHAhKg3FDLDlOKTly3XOtWSMRLW8ViRd+1c/xvvflonI5Fyk5MjRur5zhTcDDH0fdD3O301apYqH6ljbNnDhE45iZUlrIjggq6AYIoGAH2uoaxJcdRe6q08ytbrUVVd5n6cAd3s8SvkvoRb++1mysxWib1MvxGUWopmPE981tuyxsBUJEeAuRXxWIfLlChQUKXHmQSoKi5QIa+mNEG9HpOXLUaRQ8UV1DGXazxkhRB+cjQRuz76mtYyUOH36NFQqFb744guN6YCOHj1qxqhqXq9evVBYWAhb26pfayYmJmLlypVo2LAhJVblMHgeqyVLluDll1/Gzz//jEePHkGlUiEoKAgjR45Eo0aNjBmj1anqeJI+IV5Iyi7Ej5diYSMU4GZcNjoFVq/bXEXPBQDrj97Hg6d5KFIwcNx/iWCfEC+EtfTGncRsZBUUQVakhK2NEDfjslBYpMS0Xo0qvCBXJz9puXKIbYRQqVT/zkXlUe3XU/riLTGrAL/fSYbERoiEzHyk5xdDPf+xSgX8Wwyef5yxj2VUasn0Ao087XE/KRdFShWKlQz1Xe34gfv1Xe3Qs4kHmvk6wdNRrPc4syBPB7zSIxAxGfl4miOHp4MtipXlT3RsqPJakdTzbAGc1gS06jnMTkSmQFasRGRyLiQiAVykJV/QlSVXhhbYMDShzCqQ42ZcFmyEHM48SEXPxp7/TdL9KA0cgB7BHvw8aS39nMttEXuxU4BREyq1shNuqwtztK7vjL8epkGhVEHBAIGAg71YhMZeDigsVsFRLMKZB6m4EJWOBm5SrfFm6psQDmIh8uTKf7v3spKutDkyNPVxxMOUXOTKFXwc1Tm/TPE5I4ToT2AjhmP7oeYOw2KlpJRM5F62YqshCYY1EwgEOqcDMaf8/HzY29ubOwyjqHoN7FIaNGiAt956C//73/+wefNmzJ8/v84nVYDmhZL6IjsqNQ+nI1P4C/KyfJzt4O1shx7BHvxjTKVkgLw97G1F4ACIRRyyCopx5kEqH2dqjhx2tkLIlCoUFCmRXViE2IwCjYmOdV18qpOffs28EOAmhZeTBCIBh79jMst97VUR5Fkyh5SPsx2fsPm52cPPxQ4e9jaQiDhwAiDA3bAqhPo4HZmCVYf+waGbSQADBBwHpQooLFbi3KN0vpvZJ39EYu/VeFx5/F+Bi8rOg9L8XKQI8rCHrJiZpBiA+r2a0CWAvyiPSs3DwoibWH34Htb/EYlPjkZqxBrk6YCeTTzh7SSBl4MYcoUKjhIRcmUK3EnINmp81RGVmoff7yQjT14yJ1iHAFcUK0tuIqjPXR8nCbydJRrzpKnHyJU+JqZWekxUcrYMF6LS8c2ZaLSu74JOgW7wcbGDo1gIZzsbBHva442+wWhd3xkxGQX4JzEHj1Pz8OBprsZ3hvq9fa6tL3xc7CAScpCIBMjML0axsqTl6rc7ySWTIBcq8DAlD/879Uiv87Iq5zAhhOiSkJCAqVOnwtfXF2KxGIGBgXj99ddRVFTEbxMdHY3Ro0fDzc0NUqkUXbp0weHDhzX2c/r0aXAch7179+LDDz9E/fr1IZFI0L9/fzx69IjfrmHDhli+fDkAwNPTExzHYcWKFQCAPn36aI01io+Px4gRI2Bvbw8vLy+89dZbkJczEf2lS5cQFhYGZ2dnSKVS9O7dG+fOndPYZsWKFeA4Do8ePcLkyZPh4uICZ2dnTJkyBQUFBVr73LlzJzp16gSpVApXV1f06tVLq2Xtt99+Q8+ePWFvbw9HR0cMGTIE//zzT8UHvtQxKz2mrE+fPmjZsiXu3r2Lvn37QiqVws/PDx9//LHG40JDQwEAU6ZMAcdx4DhOY5LgqhyLu3fv4qWXXoKrqyt69OiB9evXg+M4xMTEaMW8aNEi2NraIjMzEwBw9uxZjB49Gg0aNIBYLIa/vz/eeustvaYGSUtLw/3793Ued2MwuMVKLS8vD5mZmToHhjVo0KC6u7dKZRMP9RxFFbVgGasYgT7UlQL9Xe2QVVAMhaqkJDoD8M2ZaNyMz0KurBi2NsKS1h+OISFTBjd7scZEx+V1+1F3K7r6JAN3E4vg7SwxeotL6YtRkQCo5yxGTLoSEhsh6rtJ8Ubfxia5KFbPU3UrPhuOYhEKipWQK1SQiAQoUqgg4IBeTTyRlF2IG/FZEAC4myfHk7R8/HbbHg4SEYqVrNKWTHV1uMgiJVylIgR6mOZOTtlWhsO3EnErPhsKFUO+XInrsZkaEzsDJV0Vf7uThMikHKhUDInZMtRzkvDVBGtKRd1t+aIXDVxxIjIF8ZmFaPLv2J/Qhm78uQtA51xzNdnyov48HbmdhAtR6XxhDo7jsPy5FvjfyUc4cf8pJDZCJGbL8OeDVJy6l1JSCRNAYZESMoVKZ4GZuIwCOEls0NBNisRsGfxc7dCzsRduJ2TDx0mCR0/zoFQpIRSUVBk0VXVHQkjVNHz3cOUbWanExER06tQJWVlZmD59Opo2bYqEhARERESgoKAAtra2ePr0Kbp164aCggLMnj0b7u7u2L59O5577jlERETg+eef19jn2rVrIRAIMH/+fGRnZ+Pjjz/G+PHjcenSJQDA559/jh9++AH79+/H5s2b4eDggNatW+uMr7CwEP3790dsbCxmz54NX19f7NixAydPntTa9uTJkxg0aBA6dOiA5cuXQyAQYOvWrejXrx/Onj2LTp06aWw/ZswYBAYGYs2aNbh27Rq+/fZbeHl54aOPPuK3WblyJVasWIFu3bph1apVsLW1xaVLl3Dy5EkMGDAAQEkRjkmTJmHgwIH46KOPUFBQgM2bN6NHjx64fv06GjZsWOX3JTMzE2FhYRg5ciTGjBmDiIgILFy4EK1atcKgQYPQrFkzrFq1CsuWLcP06dPRs2dPAOAnOq/qsRg9ejQaN26M1atXgzGGoUOHYsGCBdi7dy/eeecdjW337t2LAQMG8EWUfvrpJxQUFOD111+Hu7s7Ll++jA0bNiA+Ph4//fRTha9z48aNWLlypcmKdxiUWMlkMqxcuRLfffedznms1JRKZbnrarOyiYc+FdFqcoyCujtXco4MNkLARihAM19HNKnniJP3U9CxgSvS8+SQFZckCiIhB5FQqFHpq7KLzyBPB0zpHoj/nXqEPLkCLlIboyaLpQfoA0KIBBxc7GwgK1bBzd4W/m6mGZSqvsOvnvMLHMBUgJyVdD5kALydSirXcShpxSpSMKTnFyElTw5HsQit/Jz51r/yjqH69UWl5iKrUIFjd58iJVeOeQNCTHpuqIslCAAoAOQUKnDmQapWN8aMvCIUqRhsRIBIIMCzzeuZpPx4eSq7wC9beVM9X1jp81fN0MIfxpwbTX0zIiGzUOvmSlxGAQqLlJAXKyGxEeHk/RTEZ/43bQIDoFCqtArMAJoJen1XO7zUuQE6BbojMasQsRkFcLIT/TvJcMkUBZVVTjJmmX9CSN20aNEiJCcn49KlS+jYsSO/fNWqVfx30Nq1a/H06VOcPXsWPXr0AABMmzYNrVu3xttvv43hw4dDIPiv05VMJsONGzf4bn2urq6YM2cO7ty5g5YtW2LEiBG4ceMG9u/fj1GjRsHDw6Pc+LZs2YIHDx5g7969fIG2adOmoU2bNhrbMcbw2muvoW/fvvjtt9/44lQzZsxAixYt8N5772m1MrVr1w7fffcd/3d6ejq+++47PrF69OgRVq1aheeffx4REREar1F9bPLy8jB79my8+uqr2LJlC79+0qRJCAkJwerVqzWW6ysxMRE//PADXn75ZQDA1KlTERAQgO+++w6DBg1CvXr1MGjQICxbtgxdu3bl5/Uz9Fi0adMGP/74o8ayLl26YM+ePRqJ1ZUrVxAdHc23MALARx99BDu7/64pp0+fjuDgYCxevBixsbFmbdgxKLGaOXMmtm/fjhEjRqBnz54VluGtq8omHvq0Rpn6Tnnpi8GeTTzxJD0fgR72yJEpMKqDP0IbllTQS86Vl1yMPc2DkgH5RSo4iTl4VLGohr+bFJ4OYihKTzBlZOrxMr/eTkJqjgzOUlt+YmBTHEt/Nymc7EQQcBxcpDYoUjK4SUvGskhsBBByJQlrp0A3tPF3wfWYkmbrgqKSMS7y4iKce5QGTyeJXuU/FSrAQSwEY0BytszkF7J9Qjxx/N5TpOXJIVAxdA501WptjMsogJIxvpVOyHFws6/ZPur6FN4ofaNC/Rj1OjVDEiRTtdrourlyOjIFChWDWCRAQbEKtoxBXqx5w0rIlfSZT83V7qaiTtCTsgtRrGT/jt9055/nZlwWfr+TBG9nCWTFqkonJ6+sZd3YCSchpHZRqVT45ZdfMGzYMI2kSk39HXTkyBF06tSJT6oAwMHBAdOnT8eiRYtw9+5dtGzZkl83ZcoUjbFS6taU6Ohoje30ceTIEfj4+GDUqFH8MqlUiunTp2PBggX8shs3buDhw4d47733tBoZ+vfvjx07dkClUmkkR6+9pllcpGfPnti/fz9ycnLg5OSEX375BSqVCsuWLdN4XOljc+zYMWRlZeHFF19EWloav14oFKJz5844depUlV6vmoODg0ayZGtri06dOiE6OrrSxxrjWADA2LFjMXfuXERFRSEoKAgAsGfPHojFYgwfPpzfrnRSlZ+fj8LCQnTr1g2MMVy/fr3CxGrFihUaSZqxGZRY7du3D6+++iq+/vprY8dTK1lCxayyF4Nt/J0hK1YhNbekwp73v3PYqOM8dT8FD5/mQywE5EqgoFiJfdfi+Xlw9KGuENgz2MMkd7fVF3lnH6YhLUcGmUIFZZ4MtiKRzotMY1C3xG099xg5hQpkFxYDHCAWCeBqL4bq32QpyNMB8waEYOfFGERcjYesWMF3ubSzFcJJItLrItZRLMLj1DwAHPzdpSafdLVPiBc+GNGSH28nFAq1LqD93aQIdLfH0xwZihQq2IoEuJeUU+15yqpCn66z6hsVpyNT+EqApYs8GJogmbLVpuzNFXUiLxIK4CURQcQJIBCWVL0EA5QAhAIOIgGn8z2ISs3DrfhsFCuZxtxfvf9tfa7vaofErEKk5xehgVvlVSsr+i6jboKEkMqkpqYiJyen0mQnJiYGnTt31lrerFkzfn3pfZS9kFbf8FePyamKmJgYBAcHa/1Gh4SEaPz98OFDACUtReXJzs7WaHyoKE4nJydERUVBIBCgefPm5e5T/bz9+vXTud7Jyancx1akfv36Wq/Z1dUVt27dqvSxhhyLwMBArW1Gjx6Nt99+G3v27MHixYvBGMNPP/2EQYMGabyu2NhYLFu2DAcPHtR6j7OzzTve26DEiuM4tG/f3tix1GrmrphV9mIwLa9k7FMrP1uk5hXxHyZ1nIwx/HI9HuppohQq4MHTqrUEmXrcmPpu/D+J2eA4DrYCDnKlCrYiZtIL/T4hXvB3k+LKkwyk5MjBccCVJxnIlSng4yThi2YEeZbMRxSVmodbcVkoKFJCwHEQi4Ro6GFf6d3+uIwCZPw7uatQULrOoWmpJwqOSs3TeQEd5OmAeQNLksZL0ekI9nJAXGahyVoJddH3ZoV6TNzdxFx4OpbczVQnQoYmSDUxHrL0uVDSpfYhYtILIRAyOEtEcJDYIF9eDPbv51MAhsjkXI33oOyE2ldjMtHATaqz2ExVbvqU911G3QQJMS9lQTYSv31dY5nvq5shlNbs+FdzEAqFOpebcmJYVUkJYqxbt67c0uMODprfgcaIU/28O3bsgLe3t9Z6kciw8gnVic2QY1G61UnN19cXPXv2xN69e7F48WJcvHgRsbGxGmPQlEolnn32WWRkZGDhwoVo2rQp7O3tkZCQgMmTJ/OxmItBR3/48OE4fvw4ZsyYYex4iJGpL9AAze6IrfyckZCpvlOt3RLi7yaFi9QWWYUKfplCWbUvqJpqqXOUlIzfiskogN2/Y8EKi1Umv7C7EZuF2IwCFCuVqO9qz1csLJuEvNI9EAdvJCJXVoz6blKEeDtqjVnSNZnt1nOPEZdeCIaSecByZYoavVit6GaAOml8+u8FOwfoHItlrvjU1IVavBxtkZJbBE9HMX+uG5ogmfq81tXyM7K9P366GocWvk64GpMJIQcAHFRgKFIypOUXI0emwG+3k/j3gC/gEeDKl5Mf1MpH5/hOY7yGmizAQwjRTVWYY+4QKuTp6QknJyfcuXOnwu0CAgIQGRmptfz+/fv8elMJCAjAnTt3wBjTaMEpG4+6q5qTkxOeeeYZozx3UFAQVCoV7t69W26Con5eLy8voz2vvsrraWPMYzF27FjMnDkTkZGR2LNnD6RSKYYNG8avv337Nh48eIDt27dj4sSJ/PJjx45V63mNxaBy60uXLkV0dDSmT5+Ov//+G6mpqcjIyND6R0qYqzyx+gIt/FIsfr+TjLCW3nwZaXVZ6f7NvNDG30XrsXEZBbCzEUIs+u9DJBQYdvfHGHeMyjuG6sH5zlJbNPNxRPsGrigsVtVIZcXYjAKk5MhwIy4bR24l4sitJOy9GqcRY1RqHvZeicNfj1JxLbak5Lyu5KNsif7bCSXdt5ztRJArVMiXK/SeYLi69D1fgzwd4OUkBlMBIfUc+LFYlqT0+dHc1xFTugdqFLAwtLS6riTaWHRN19Ap0A1N6jkiKjUfGflFyJUrUKQsackESj6bLlIbPvlWv3Z1oqMuJ2/KpLc6x5MQUjcIBAKMGDEChw4dwtWrV7XWq68XBg8ejMuXL+PChQv8uvz8fGzZsgUNGzassKtcdQ0ePBiJiYmIiIjglxUUFGgVhOjQoQOCgoKwfv165OVp/16mpqZW+blHjBgBgUCAVatWabW8qI/NwIED4eTkhNWrV6O4uNgoz6sv9VxTWVlZGsuNeSxeeOEFCIVC7Nq1Cz/99BOGDh2qMceVumWt9LUlYwxffPGFXvu3yHLrjRs3BgBcv35do7pJWXW1KmBp5hx3ULZrDsdx6N3EU2ObG7FZSM8vws24LK3Y5P8WJhCAQWorhIqhSuOsjPXaK9pP6dYDdaU+juNM3nLi7yaFjZBDam4RBABUABQqlVaBibiMAjxOz0e+TIFiFcOtuCy+u1bp7l5l7/a38nPGvcQcPFIoYW9bUkJ+TEd/k587uo61+nWULUhwOjIFx++mIKOgCBcfZyK0oavFtVJU1rpk7i66uuhq+VG/jp0XYxCZnAtboQByhRJQASJBSYumSCjQSL7NMbbTEo8nIcSyrF69GkePHkXv3r0xffp0NGvWDElJSfjpp5/w119/wcXFBe+++y527dqFQYMGYfbs2XBzc8P27dvx+PFj/Pzzz1qFHYxp2rRp2LhxIyZOnIi///4bPj4+2LFjB6RSzWrDAoEA3377LQYNGoQWLVpgypQp8PPzQ0JCAk6dOgUnJyccOnSoSs8dHByMJUuW4P3330fPnj0xcuRIiMViXLlyBb6+vlizZg2cnJywefNmvPzyy2jfvj3GjRsHT09PxMbG4vDhw+jevTs2btxozEPCCwoKgouLC7766is4OjrC3t4enTt3RmBgoNGOhZeXF/r27YtPP/0Uubm5GDt2rMb6pk2bIigoCPPnz0dCQgKcnJzw888/6z2eziLLrS9btqzSgfekhDnHHVTWNUfd6uLhYKuz/Le3swQN3aW4/CQTcoUSNgIOD57m48jtJLzZr3Glz2+s165PBbi4jAKNAgWmmhy49HNO6R6I9fn38SA5D8p/531ylIi0Cj0IOQ6FChU44N+CIXKdCUzZi+CkbBmSc2Ro4euE5By53p+56lRmK3usrzzJ4JPvsknt6chU5MqLEeBmh8QsOcQi0/3QVUd5F/uWWsGuvIQoyNMBrlJb5MsVUChL7mQKBBzsxUKEBrqhvqsUTeo5au3Lkl4bIYT4+fnh0qVLWLp0KcLDw5GTkwM/Pz8MGjSIT17q1auH8+fPY+HChdiwYQNkMhlat26NQ4cOYciQISaNTyqV4sSJE3jzzTexYcMGSKVSjB8/HoMGDUJYWJjGtn369MGFCxfw/vvvY+PGjcjLy4O3tzc6d+5s8HCZVatWITAwEBs2bMCSJUsglUrRunVrvgw6ALz00kvw9fXF2rVrsW7dOsjlcvj5+aFnz56YMmVKtV5/RWxsbLB9+3YsWrQIr732GhQKBbZu3YrAwECjHouxY8fi+PHjcHR0xODBg7ViOHToEGbPno01a9ZAIpHg+eefx6xZs7RK4psDx0w5ss9K5eTkwNnZGdnZ2QZXV1GrSguAKZRXgAAoaXFYdegucmUKOEpEWDasOT8XUem4k7IKEZOeD6WKQcWAVvWdsfaF1pXGXhMtVur1qw79wxcocJHaYkbvIK3WOVPYdTkW356NhkgAKFXAq70aYVyoZtWfL088xDdnowBWUh7+nbAQeDtJEH4plk9gJnQJ0IrXkONX3WOuXT3SBSfvp2jFGZWah4U/38TtuGyoGIONSIiG7lJ4OooxpXtgjc5pVRldCZS1VrD78sRDbDr1EEXKks+il4MNsmVK1HMU8y1WpSsfWiNjfv/WJnRc6hZDJghWFmQjfsN4jWX13wzXu3jFk7WmTVgIsWb6fgcbVjqkjOzsbDg4OJRbUaQuK3v3uWzLiqkvgCq7Y62rMmDpuNWV747dTeZbt2yEAr1an4zVFamy/VRUoMDUfJwlYAzIyFfwZevLal3fGc52tsiRFcPOVghvJ4ne5cKrevyq20pY9jkB4GZcllaclx9nIClLBnuJCHkyBexthOAA3E3MxdZzjy2mFai8BMpaKtiVTQo9HW3hZGeDIoUKOTIFMguKoQIHuUKJjIIieDraIvJpbo1WaCSEEEJICYMTq6tXr+K9997DmTNnUFRUhKNHj6Jfv35IS0vD1KlT8dZbb5mk76I1Uic3FZV+Ngf1wP7yKgMC/43BEosEqOcogYNEVO62uhirK5Ku/ZSueNjATYpYAB7/tpjUxDFVF3kAB7Su74TCCiZY9XQQo76LBHJFSZUhfZOmqh4/Y1RmK/ucuuNkKFaqIC9SQqViKFQokZQtg7ezRGtCYXMqnUBdjcnEkdtJGNzKxyoq2OlKCjsFuqNjgBuScmTIkxUjPrMQhcUqPM0tAgfgWkwm7MU2OFKqOiAhhBBCaoZBidX58+fRr18/+Pn5YcKECfj222/5dR4eHsjOzsbXX39NiVUZ5mxZ0UWflqD0/CJ4O4pxMy4TYpEQznY2CGvpbfYLNl3lyTmOq7FB+lGpefjkj0hcjclAnkyBfJkCIT6OSMwq1Dl/VnZhMd/lkpWaRFjfIiD6dh01RcECXXF2CnSHl6MEkQW5EIk4qFSAk4MNXKS2VUq8TU2dQF2NyURytgwXotKRkFmoc0ybpdHVqta7iSfmDQzhJ/GO+DsOtkIOxUoGkQBQMUAk5PAopWpzzhFCCCGk+gxKrBYvXoxmzZrh4sWLyM3N1UisAKBv377Yvn27UQKsTdQtRDXdslKRii7u+YvS2EzkFBZDYsuQk5KL2wnZNTaGprykQp+Kh6YUl1GApBwZHMQi2AgFJQUqipQ4eT9FZ4XF8rpcVsaQsUA1UbAgyNMBA1p4Iz6zELJiBYpUShQrVega5I7BJi7rXRXqRPPI7SRciEpHxwBXjSTFUuLUpbxWtdKthgpVyTxWACASCsAYLLaICCGEEFLbGfQLfOXKFUyZMgVisVjnRaKfnx+Sk5OrHVxto77Ie66tL8JalnRHMqfK5itSx9vM2wlKFUNOQUmry6EbCdh1Odbk83KVnofrmzPRGs9n7q5c/m5S+DhJIFOUVGer5yyBjVCgMfdQ6W0buEmRmlcEGyFXpXm9dM1pZCmGtPZBfTc7FCsZlCogJVeOMw9MN3+GoYI8HTC4lQ8auEktvutf6c9jefNCqT8XN+OzIbUVomk9B3g7itG+gQuCvRwgsREi2MvB5JUxCSGEEKLJoBYrGxsbrYnLSktISICDg+XeCTa3iuaOqin6toQEeTqgoYc9AA4qMIABcZmF+PZsNM4+TMW8ASEmi7+icvDmmKOntCBPB8wbGIIrT0omwvZ2kuD3O8laF+7qFrc2/s5Iyi5EsZLh9zvJehd3MHcCWZEgTwd0DHBDZFIOGACViiHj3+TP0lqCdBXlOB2ZYvFFNnS1PqqT7ZY+TniaI4NAwEEqFqGgSIWsgmLY2ghQIFciLqPAIl4bIYQQUlcYlFh16dIFERERmDt3rta6/Px8bN26Fb17965ubLWSpVQjq0ocno62kNgIoJArwQAUFquQkiNDnkxh8nEcydkyPHyapzE2Sc3cc/SUfX5/N6lGolf6YrlIoUSxkml0RdMn9ppKIA2d0ynE2wGOdjYoLFJCqWJws7Dkr7TSRWQsrdR6VT6P6mQ7OVeOtvVdUKxS4U58DmyEHHJlxZAyIR7kFmH90ftIypahUyAVsSCEEEJqgkFdAVeuXImrV69iyJAh+O233wAAN2/exLfffosOHTogNTUVS5cuNWqgtYWltEBUFkfZbkkqxlA6rcmTK5FVUITUXLlJ4/R2lqBbkBu8nSUWPyl1kKeDxrid0hfLxUoGGyFn0Ptedr/GVlGXy8p0CnRHl0B3NPSwR5v6Lnijb7DFX8RbYvfKqnwvlO4i2LOJB27FZeNprgwPnuahoEiB1Fw5ChUKPEjOw44LT6r8nhJCiLlkZWVh+vTp8PT0hL29Pfr27Ytr167p/XiVSoXNmzejbdu2sLOzg7u7O/r164ebN29qbffxxx8jMDAQEokErVu3xq5du/R6jiNHjmDFihVVeVnVdu/ePYSFhcHBwQFubm54+eWXkZpaedf79PR0rFu3Dr169YKnpydcXFzQpUsX7NmzR2vb06dPg+M4nf8uXrxY6XOdO3cO7du3h6OjI/r06YP79+9rbTN79mwMHDiwwv3MmzcPzZs3r/T5LJVBLVadO3fGkSNH8Prrr2PixIkASg4EAAQFBeHIkSNo3bq18aKsRczdhQ34r3WivEp6pe/o2wg4pObJoVRpthYxlCRbpqRPOXhLVvpiuYGbtMYrF+qrOq2oQZ4OGBPqj9sJ2Wjl52xREwNXpEihxNWYTIs5r/T5Xijbqhjk6YAvTzxEfpECYpEACqUKYqEAMqUKTAUoGYOTRMQnj5Z0zhFCLI++kxKbaiJhlUqFIUOG4ObNm3jnnXfg4eGBTZs2oU+fPvj777/RuHHjSvfxyiuvIDw8HBMnTsSsWbOQn5+P69evIyUlRWO7JUuWYO3atZg2bRpCQ0Nx4MABvPTSS+A4DuPGjavwOY4cOYL//e9/NZZcxcfHo1evXnB2dsbq1auRl5eH9evX4/bt27h8+TJsbW3LfeyFCxewZMkSDB48GO+99x5EIhF+/vlnjBs3Dnfv3sXKlSu1HjN79myEhoZqLAsODq4wxuzsbAwfPhxdunTB9OnTsW3bNrzwwgu4desWP8ftP//8g2+++QZ///13hfs6fPgwhg0bVuE2lszgeaz69euHyMhI3LhxAw8fPoRKpUJQUBA6dOhg8S0LNaW87lXm7MKmTzeo0hfaZx+lQV6shKvUFkk5/7VOCTnAyc4Gno5ik8VqCUloZaJS83D5cToATqvLlTXED1SvFTUqNQ+/30lGen4REsoU7LDE16uOV92CaAlTB6iV/V4o/f0BoJzPLYNcoUSxsqT7gVRqA5FSCaGAQ75ciRyZAg09HCwieSSEmBYnEsO5+4tay6xFREQEzp8/j59++gmjRo0CAIwZMwZNmjTB8uXL8eOPP1b4+L1792L79u3Yt28fnn/++XK3S0hIwCeffII33ngDGzduBAC8+uqr6N27N9555x2MHj2aTwYswerVq5Gfn4+///4bDRo0AAB06tQJzz77LLZt24bp06eX+9gWLVrg4cOHCAgI4JfNnDkTzzzzDD766CMsWLAA9vb2Go/p2bMnf/z1deHCBRQWFiIiIgISiQRhYWEIDAzEo0ePEBISAgCYO3cupk2bVmFrVHR0NCIjI/HVV19V6fl1yc/P13ptNaHadXnbtm2L0aNHY+zYsejYsSMlVf9SJzBbzkRj1aF/SiaStQDldYMq3fWv9IW2j5MEDT3s4SK1hU2ps8VWJEBLP2eTVx4zdTe46lDPZbXh5CNsPPkQnxyN1OpyZcnxq5VXfU4f6gIjdjYC3IzLwidHI7HlTLTFdj9Tn/8dA1xhKxJa7PdV2e6Zlx9naH1uo1LzcPZhKsA4iDiA4wCxjQAOEhvUc5KgUyM3TOzW0CLGkBFCTE9gK4FLj/Ea/wS2EnOHpbeIiAjUq1cPI0eO5Jd5enpizJgxOHDgAOTyiocefPrpp+jUqROef/55qFQq5Ofn69zuwIEDKC4uxsyZM/llHMfh9ddfR3x8PC5cuFDuc0yePBn/+9//+Meo/6nl5+dj3rx58Pf3h1gsRkhICNavX1+lasBl/fzzzxg6dCifVAHAM888gyZNmmDv3r0VPjYwMFAjqVLHPWLECMjlckRHR+t8XG5uLhQKhd4xFhYWQiKRQCIpOd/c3EquDQsKCgAAv/zyC65fv66zhay0w4cPw9nZGT169MCpU6fAcRz279+vtd2PP/4IjuP492ry5MlwcHBAVFQUBg8eDEdHR4wfP17v+I2JJjwxEfUFZ3ZBEe4m5mLruccWcaGpq3Wi7EUcAP5Ce97AEIzp6I9mvk5wdxDDzkYAWyEHkYBDx4Z1e1C8ei4riUgAW6EAT9LyceR2kkW8z1VVnQQwOVuGsw/TEJWSi8jkXDxIzsGDp7kWMXaprPLO/4qmHTCHy48z8OBpLrydxEjPLwLHQSvuuIwC5MmVkNgIoP5dFwk42IoE6NLIHcuHtcC40AZ1+jNKCLEe169fR/v27SEQaF6adurUCQUFBXjw4EG5j83JycHly5cRGhqKxYsXw9nZGQ4ODmjUqJFW8nH9+nXY29ujWbNmWs+jXl+eGTNm4NlnnwUA7Nixg/8HAIwxPPfcc/jss88QFhaGTz/9FCEhIXjnnXfw9ttv638gSklISEBKSgo6duyota5Tp04VxloR9ZRIHh4eWuumTJkCJycnSCQS9O3bF1evXq10f+3atUN2djY++eQTxMTEYPny5XB2dkZISAjkcjnmzZuHlStXwtXVtcL9HDlyBM8++yxEIhH69OkDf39/hIeHa20XHh6OoKAgdO3alV+mUCgwcOBAeHl5Yf369XjhhRcqjdsUDO4KSCrm7yaFjZBDSm4RPB1tUaxkFjHOQVf3tNORKVpjbNQX2equU8nZMiiUDEoVg62Qg9RWZNJugNZAPZfV0xwZFEoVilUMF6LSkZBZyLcSGFptz1okZcsgthHAxc4GmQXFABjS8ouhZPnVukNnKrrKrltahcCo1DycfZCK5BwZnubI0MbfBaEN3RDa0E2rW2mguz2e5shQWKSEigFP0gsgEnC4nZAFIKDC5yGEEEuSlJSEXr16aS338fEBACQmJqJVq1Y6HxsVFQXGGHbv3g2RSISPP/4Yzs7O+OKLLzBu3Dg4OTkhLCyMf5569epp9Vgo/Tzl6dq1K5o0aYJjx45hwoQJGusOHjyIkydP4oMPPsCSJUsAAG+88QZGjx6NL774ArNmzUJQUJCeRwN8rKVjKxtvRkYG5HI5xGL9r8cyMjLw7bffomfPnhr7tbW1xQsvvIDBgwfDw8MDd+/exfr169GzZ0+cP38e7dq1K3efDRs2xNq1a7Fw4ULMnz8fdnZ2+O677yCVSrF69WpIpVK89tprFcZVUFCA06dPY/PmzQBKWtYmTJiATz/9FNnZ2XB2dgYApKam4ujRo/wxVpPL5Rg9ejTWrFmj97EwBWqxMpEgTwdM6R6I5r6OcJHaWswgeUC7daKiMTalu075u0nR0N0e9Zzt0MBdCm8n6+liYArquaxm92+MHo094SgRIcjTXqOrlqHV9qyBOgHILizG01wZOJR8oXDAv60oltnNrvT5b4kVAuMyClCsYugf4gUvJwl6/Rtr2c+t+vwb3tYPvi52cJCU3CdTgeHh0zx+jjVSNXl5eVi+fDnCwsLg5uYGjuOwbds2re0mT56ss3pW06ZNtbatTgUyQuqKwsJCnQmCuntZYWH53895eSW/r+np6Thw4ABef/11vPTSSzhx4gTc3d3xwQcfGOV5KnLkyBEIhULMnj1bY/m8efPAGOOraFeFOhZjxatSqTB+/HhkZWVhw4YNGuu6deuGiIgIvPLKK3juuefw7rvv4uLFi+A4DosWLap03/Pnz0dCQgIuXLiAhIQEvPjii0hMTMSaNWvw+eefQ6FQ4M0330SDBg3QqVMnnDt3TuPxJ0+ehFwux6BBg/hlEydOhFwuR0REBL9sz549UCgUWoktALz++ut6HwtToRYrE+oT4qU1t5ElqqjIQumkK8TbEb4uEvx6MxEZ+UXYeyWu1rbE6Ev92s9EliQYJ++noI2/C99VyxLmLDOV0gnAueh0pOXKUVCkAIeSyoeWciOhIpYy/YGumJJz5Qip51jhOMYgTwdM6BKAp9kynHmYCgaAMUBWrDL5VAi1VVpaGlatWoUGDRqgTZs2OH36dLnbisVifPvttxrL1HdVS6tOBTJCapOioiJkZGje9PH09IRQKISdnZ3OcVQymQwAYGdX/vezel1gYCA6d+7ML3dwcMCwYcOwc+dOKBQKiESiaj1PRWJiYuDr6wtHR0eN5eouhzExMeU+Ni8vj08OAUAoFMLT05OPxVjxvvnmm/j999/xww8/oE2bNpVuHxwcjOHDh2Pfvn1QKpWVFvWoV68e6tWrx/+9cOFC9O/fH/3798d7772HEydOYM+ePTh16hSGDBmCJ0+ewMXFBUDJ+KqOHTtqPL5p06YIDQ1FeHg4pk6dCqCkG2CXLl20KhWKRCLUr19f30NhMpRYmZi5J7HVV3lxlk66ErMKsPWvx3iSXgBbkQC5NTBBsDUonWDcScrhWxgA7XExtUnpBKBTQ7d/k+4kFBYrAXCIyyiw+HPDEis3VjUmdctVsUqFvx6mQSwSQCwS1vmuuoby8fFBUlISvL29cfXqVa2yw6WJRCKdd01Ls7YKZISY0vnz59G3b1+NZY8fP0bDhg35z15Z6mW+vr7l7le9rvRFuZqXlxeKi4uRn58PZ2dn+Pj44NSpU2CMafSs0Od5TGX9+vUahR0CAgLw5MkTvqteecfFzc1N726AK1euxKZNm7B27Vq8/PLLesfm7++PoqIi5Ofnw8nJSe/HXbx4EREREbhz5w4AYNeuXVi6dCm6du2Krl274uuvv8avv/7Kf4ceOXIEU6ZM0drPxIkTMWfOHMTHx0Mul+PixYv8d2lpYrFYa3yeOVBiRSqlvrD7/q9oJGbLoGJAsUIFpcjyxtCYQ3ktDJZ40W5MZV9fXEYBLkZnILugCE/SCrD13GOraNG0xJsfhsRkIxDAUWIDpYqhqU/FLV2kfGKxGN7e3npvr1QqK7zgqKgC2UsvvYQLFy6gR48e1Y6bEGVhLp6GL9RYVm/8RxDaOZbziJrXpk0bHDt2TGOZ+vPWtm1bnD17FiqVSuMC+dKlS5BKpWjSpEm5+/X19YW3tzcSEhK01iUmJkIikfAtSW3btsW3336Le/fuaZT+vnTpEr++IuV1cw8ICMDx48eRm5ur0Wqlnii3bHW+0iZOnKjxPaBuhfLz84Onp6fOAhKXL1+uNFY19bxbc+fOxcKFCyt/QCnR0dGQSCRwcND/N4kxhtmzZ2POnDn8uLLExESNpNXX15d/v+7cuYPY2FgMGaI9R9q4cePw9ttvY9euXSgsLISNjQ3Gjh1bpddQk/RK7QQCAYRCYZX/kdohKjUPh28lISVHDjsbARhjEIkEaOnnRBdvqLhcuTWUW6+O0q/P302KYqUK8VmFcLIT8gVbiOmpW027BLrBRWqDRv+OH6tt4/osTUFBAZycnODs7Aw3Nze88cYbGt15AMMrkMnlcuTk5Gj8I6RCTIXi9FiNf2Aqc0elwdXVFc8884zGP/VYoVGjRuHp06fYt28fv31aWhp++uknDBs2TKNlJioqClFRURr7Hjt2LOLi4jQSt7S0NBw4cAD9+vXjk7Xhw4fDxsYGmzZt4rdjjOGrr76Cn58funXrVuFrUM+NlJWVpbF88ODBUCqVWq0pn332GTiO0xg7VFajRo00jkn37t35dS+88AJ+/fVXxMXF8ctOnDiBBw8eYPTo0fyy4uJi3L9/X6t1a8+ePZg9ezbGjx+PTz/9tNwYUlNTtZbdvHkTBw8exIABA6rUGrRt2zbExcVpFJioV68en2QWFxfj0aNHfFJ95MgR1KtXT2f1Qw8PDwwaNAg7d+5EeHg4wsLCdFYztBR6tVgtW7ZMK0Pfv38//vnnHwwcOJCf/Ov+/fs4evQoWrZsiREjRhg92NrA2qrEqedquv80F4lZhVAqVRAIOPi5SDCle6BVvIaaYImtHuZgZyOESMAhT6ZEiLdNrev+aKn83aSwEXC4GpsJhVKFY3efIjI5Fw3cpBZR6bA28vHxwYIFC9C+fXuoVCr8/vvv2LRpE27evInTp09DJCr5eTW0AtmaNWsqnfOFkNpk1KhR6NKlC6ZMmYK7d+/Cw8MDmzZtglKp1Pos9O/fHwDw5MkTftmiRYuwd+9evPDCC3j77bfh7OyMr776CsXFxVi9ejW/Xf369TF37lysW7cOxcXFCA0NxS+//IKzZ88iPDy80oaBDh06AABmz56NgQMHQigUYty4cRg2bBj69u2LJUuW4MmTJ2jTpg2OHj2KAwcOYO7cuVWuCKi2ePFi/PTTT+jbty/mzJmDvLw8rFu3Dq1atdLoOpeQkIBmzZph0qRJfMGdy5cvY+LEiXB3d0f//v21Spd369YNjRo1AlCSmNrZ2aFbt27w8vLC3bt3sWXLFkilUqxdu1bveHNzc7F48WKsXr1ao+Vu1KhRWLVqFVQqFc6dOweZTIbBgwcDKBlfNWjQoHJbAydOnMhPWvz+++/rHYs56JVYrVixQuPvLVu2ICUlBXfu3OGTKrV79+6hX79+ZumjaunUVeIsqbRzZS4/TseN+CyoVAwKpQpSWyEcJTZwENtYbNU3UrOiUvNw+XE6IpPzoFAxdA/ywD9JOWjm42Tx53dtEeTpgJ5NPJGcI4OL1Aa343Pg6WDLVzqk98H4ypb0HTduHJo0aYIlS5YgIiKCL0phaAWyRYsWacx9k5OTA39/f2OFT4jFEQqFOHLkCN555x18+eWXKCwsRGhoKLZt26Z1ralLvXr18Ndff2H+/Pn47LPPUFxcjK5du2Lnzp1ahRrWrl0LV1dXfP3119i2bRsaN26MnTt34qWXXqr0eUaOHIk333wTu3fvxs6dO8EYw7hx4yAQCHDw4EEsW7YMe/bswdatW9GwYUOsW7cO8+bNM/i4+Pv7488//8Tbb7+Nd999F7a2thgyZAg++eSTSsdX3b17F0VFRUhNTcUrr7yitX7r1q18YjVixAiEh4fj008/RU5ODjw9PTFy5EgsX75cq1BERd5//33Ur18fkydP1li+cuVKpKamYuXKlfD29kZERAQ8PT2RnZ2N8+fPY9asWeXuc9iwYXB1dYVKpcJzzz2ndyzmwDEDJptp3LgxpkyZgsWLF+tc/+GHH2Lbtm14+PBhtQM0h5ycHDg7OyM7O7tKA/UqczoyBeGXYvkqcRO6BKB3E0+j7d8Udl2OxcaTJe9jep4cEhshbEUCBLjb442+wegT4mXmCC2TtbVMGkrdonkjPgsKpQocx6FYqQIHoIWfM5YPa1GrX78lUd+4ic0oQHK2DN7OEqtssTLV968h1MUrtm7dqnWRoEthYSEcHBwwZcoUvlrg0KFDce/ePa1uSwUFBbC3t8e7776r17wrlnRciOk1fPdwlR+jLMhG/IbxGsvqvxkOoVS7UmV1PFmrPQ6GEEPt3bsX48ePR1pams6qqkDJ5L++vr4YNmwYvvvuuxqOsIS+38EGFa+Ij4+HjY1NuettbGwQHx9vyK5rNUss7VyZToFuaOPvgidp+XC1t4WPkwQx6QVQqhh+v5Nc6xMHQ1hjy2RFKkoS4zIKkJQjg0QkABMKICtWorBICRshh38SsqlqZA1r4++Mtg1c4O0kAcdxtbJoiiWzs7ODu7u7RjlpS6xARgghlsLFxQVffvlluUkVAPzyyy9ITU3FxIkTazAywxiUWLVs2RKbNm3CSy+9BD8/P4118fHx2LRpU7mzY9dl1lglLsjTAWM6+mPrucfIKVTgemwWZAol6qnEiM0ooG5G/yqdfNSm+asqSxL93aTwcZLgaY4MCqUKYIBcoYKsGACU2HMlFt5OEmrZNLHalsxbq9zcXKSlpcHT87+eCNWtQEYIIbXZgAEDyl136dIl3Lp1C++//z7atWuH3r1712BkhjGo4Ptnn32GlJQUNGnSBBMmTMCKFSuwYsUKjB8/HiEhIUhJSamw8khdZq1V4mxFQrhKbZAtK4ZSxRCfJUOxUmUVrW6mpr6oDb8Ui2/ORAOoPfNXlU4S1eN1SlPPofRipwYIcLeHQMCBMUDIAQzA/aRcrDp0F6cjU8zzAuqIyt4nYlwymQy5ublay99//30wxhAWFsYvq24FMkIIqas2b96M119/HV5eXvjhhx/MHY5eDGqx6tGjBy5duoSlS5di//79/OBbOzs7DBw4ECtXrqQWKytWtuuXugvjzfgs2AgFcBALoVQxjYlw67KyLVQcx1ldy2R59Om+GuTpgFZ+zrgVnw1HWxGe5qRC8e/ITS9HW+TKFLiTkE2tViZkjd2MLdnGjRuRlZXFV+w7dOgQ3739zTffRGZmJtq1a4cXX3wRTZs2BQD88ccfOHLkCMLCwjB8+HB+X9WtQEYIIXXVtm3b+AqH1sLgCYJbtmyJ/fv3Q6VS8bXvPT09LWLWY2K48roUTevVCFeeZOC320nIlSng7SzB4FY+5g7XIui6qK0t5df16b4alZqHpOxC2Ag5xGfKYCvkIBAAsmKGlNwiuDuI0dLPuIOniSZr7GZsydavX4+YmBj+73379vFz60yYMAEuLi4YOnQojh07hu3bt0OpVCI4OBirV6/G/PnztX4Hq1OBjBBCiPUwOLFSEwgE/IzMlFRZv/LGB6n/hTZ0o4u3Mmr7RW1FSWLpRNxGwKGZjxMy8oogEnJ4mi0DB8DFTgR/N2nNBl0H1ZZk3hKUnhunPDt27NB7fwKBAIsWLcKiRYuqERUhhBBLZ3AmdPXqVYSFhUEqlcLd3R1//vkngJJZrocPH47Tp08bK0ZiRFGpeTgdmYKo1Dyd6yvrUmStY8RMRX08AdTJ41I6ES9WMQR62MPTUYysgmIoGaBUMUSl5uPI7aTKd0YIIYQQYsUMarE6f/48+vXrBz8/P0yYMIGfrwMAPDw8kJ2dja+//hp9+vQxVpzECPSpHFbbW1+MiSqxaSbiNgIOZx6kICY9HwVFSjAAChWDCEBmfpG5QyWEEEIIMSmDWqwWL16MZs2a4e7du1i9erXW+r59+/KlZInl0LdyGLVK6ae6ldjKth5W1ppoidSJ+IQuAWjq44To1HzIFSoAAAdAxQCxjRCN69G5RAghhJDazaAWqytXrmDNmjUQi8XIy9O+CPTz80NycnK1gyPGVVsqh1U0YW1Nqs7xLNvaFdbSG7/fSbbK1i/12J7ErAIIBRxsBBwUKgYbQUnJdaGAw293ktEp0N1qXpO1sZTPBCGEEFKXGZRY2djYQKVSlbs+ISEBDg70425pakM3P0vqfled41m2SMjthGyrn1S4U6A7Oga44XF6PgrkCmQXFiO7UIGcwmJcjs7AkdtJeLNfY3OHWetY0meCEGI+nNAGDu2GaC0jhNQcgxKrLl26ICIiAnPnztVal5+fj61bt1rF7Mh1kbVXDiuvaqG5GHo8y7Z2tfJzRkJmoVW3JqonC77yJAPhF2OQmF0IhpLugMVKFW7HZyEqNc+qzz9LZGmfCUKIeQjEUrgPeN3cYRBSpxmUWK1cuRK9e/fGkCFD8OKLLwIAbt68iejoaKxfvx6pqalYunSpUQO1NtQ1xzRqS3dGXa1d/m5Sq25NBEpe1+XHGXiaU1JqHSjpDggAcZmF+OZMNLWoGFlt+UwQQggh1s6g4hWdO3fGkSNH8OjRI0ycOBEAMG/ePEyfPh1KpRJHjhxB69atDQpILpdj4cKF8PX1hZ2dHTp37oxjx47p9djjx4+jb9++8PDwgIuLCzp16lSluUaMRd01J/xSLL45E21VxQgsnToh6d/MC238XcwdTrWULRJSG4qGRKXmITI5F3KFCiKBABwAOxsBxDZCNPFyMKjIB6lY6QIilLQSQggh5mPwBMH9+vVDZGQkbty4gYcPH0KlUiEoKAgdOnQAx3GV76AckydP5rsZNm7cGNu2bcPgwYNx6tQp9OjRo9zHHTx4ECNGjEDXrl2xYsUKcByHvXv3YuLEiUhLS8Nbb71lcExVRV1zTO9GbBbS84twMy6LLiYthPqGws24LOTJFFD+21RVWKyCAMCdxByENnSjFhUTsPYuvoTUFQ3fPWzuEAghJmRwYqXWtm1btG3b1gihAJcvX8bu3buxbt06zJ8/HwAwceJEtGzZEgsWLMD58+fLfezGjRvh4+ODkydPQiwWAwBmzJiBpk2bYtu2bTWaWFHXHNOixNUyqd8XZzsROABiEQe5gpWUXQcgK1IirKU3vVeEEEIIqZUM6gooEAjg4+ODM2fO6FwfHh4OoVBY5f1GRERAKBRi+vTp/DKJRIKpU6fiwoULiIuLK/exOTk5cHV15ZMqABCJRPDw8ICdXc0mNtQ1x7TKJq6MMaub/6k2Ur8v2YUKgAOKFSVNVuoxVkVKFZJzZOYLkBBCCCHEhAxusZLJZHjmmWewbt06zJkzxyjBXL9+HU2aNIGTk5PG8k6dOgEAbty4AX9/f52P7dOnDz766CMsXboUkyZNAsdx+PHHH3H16lXs3bvXKPFVFWOs8o1IlZUu/MAYs9r5n/RlLYVQ1O/LkdtJOHIbUClVeJiSD/XEDDmFxfjtdhJCG7pZ9OsghBBrpJLlIWXfBxrLvEa+B4GEvm8JqSkGJ1aff/45Ll++jLfeegtXr17FN998A4lEUq1gkpKS4OPjo7VcvSwxMbHcxy5duhSPHz/Ghx9+iA8+KPlikUql+PnnnzF8+PAKn1cul0Mul/N/5+TkGBI+j+aVMT31mJLTkSm1ulugtZ1LQZ4OGNzKBwmZhYh8mgtHOxGKFSrIFSrY2QqRK1PUuveIEEIsAVMpIY+7o7WMEFJzDOoKCJRMEvy///0P27Ztw759+9C9e3fExsZWK5jCwkKNrnxq6oStsLD8amJisRhNmjTBqFGjsGvXLuzcuRMdO3bEhAkTcPHixQqfd82aNXB2dub/ldcqpq/SY4CoCpppWft4tqjUvAq7MVrjuaRuuRob6o/G9RygZAwqBuTKlShSqCz+ParsPSGEEEII0aXaxSsmTpyI1q1b44UXXkCHDh2we/dug/dlZ2en0XKkJpPJ+PXlmTVrFi5evIhr165BICjJF8eMGYMWLVpgzpw5uHTpUrmPXbRoEd5++23+75ycnGolV9Z+sW9NdM0HZS30aY2ylHOpqt0R1S2KjAFPs+VIyZVBoWRIzi5EXEZBjb9P+sZvbS2EhBBCCLEc1U6sgJLKgH///TdeeuklhIWFoWfPngbtx8fHBwkJCVrLk5KSAAC+vr46H1dUVITvvvsOCxYs4JMqoKRVbdCgQdi4cSOKiopga2ur8/FisVhnS5mhrPli3xpZa6npuIwCxGYUwMPBFrEZBTq7yFnCuVSdZKNToBu2/iWEQgU4ioVQMeBOQjb6hHiZOOr/VCV+qjhJCDEElVEnhADV6ApYlouLCw4fPozFixfjzz//NGgfbdu2xYMHD7TGOKlbm8or656eng6FQgGlUrsvcXFxMVQqlc51plQbJnslppecLcOFqAwkZ8vKLXZi7nOput0RnaQiiLiS+aykYhFa+jmbKFJtUal5OHwrCbEZBXrFbykthIQQQgixPgYlVo8fP8aIESO0lnMch5UrV+LmzZs4efJklfc7atQoKJVKbNmyhV8ml8uxdetWdO7cme+eFxsbi/v37/PbeHl5wcXFBfv370dRURG/PC8vD4cOHULTpk1rvOQ6IfrwdpagW5AbvJ0l1ZpY25Sqk2zEZRTAVihE2wYu8HKWYGyof421Vqlbqi5GpyM5W4arMZmVxk9TJRBCCCHEUAZ1BQwICKhwfcuWLQ0KpnPnzhg9ejQWLVqElJQUBAcHY/v27Xjy5Am+++47fruJEyfizz//5O/wC4VCzJ8/H++99x66dOmCiRMnQqlU4rvvvkN8fDx27txpUDyEmJK/mxQN3KRIzy9CAzepxbaOlC1vH5dRwC/XR3K2DLkyBRwlIrSqwdYqdUtbxwBXXI3JRLcgdwxq5VNp3NbatZQQQggh5qVXYrVq1SpwHIclS5ZAIBBg1apVlT6G4zgsXbq0ygH98MMPWLp0KXbs2IHMzEy0bt0av/76K3r16lXh45YsWYLAwEB88cUXWLlyJeRyOVq3bo2IiAi88MILVY6DEFOzhPFT+lLHZshYK29nCVr52SI1r6hGW+VKt7Q1cJPqlVQRQgghhBiKY3rMYisQCMBxHAoLC2Fra6tRIKLcHXNcjY9rMpacnBw4OzsjOztba7JifZyOTMGt+Gy0ru9co4P0ifmoq86pWfpkvmpVqfZ3OjIF4Zdi+cIOE7oEoHcTz0r3b84qe1GpeVaRuJL/VPf7t7ai42LZLKF4hbIgG/Ebxmssq/9mOIRS4/YUeLJ2iFH3R4g10Pc7WK8WK5VKVeHf5D+nI1Ow6tBdvusTAEquajl18hCbUYDkbBm8nSVo4CY1WhJR1VLnVdlvVZIeQ8ZaBXk6IKylN24nZKOVn3ONJzfUrY8QQoxL3ySSEjBSFxml3Dr5z634bOTKFGjobocn6YU1Xlqa1Dz1WB4PB1s8fJqHVn62fPW56l7Um7LFp6qlxQ3puhiVmoff7yQjPb8ICZmFVtOSRwghhBBSVUYrt05KtK7vDEeJCE/SC+EoqdnS0sQ81C05aXlFcJSIkJpXZLRS3dUtdV4RQ1ugqlL63ZTxE0IIIYRYEr1arAIDA6s86JzjOERFRRkUlDVTt07dSchGSz8aY1UXlK2ax3Gc0cb0mHJepZoonkHzQhFCCCGkrtArserdu7fFzrFjifqEeFFCVceYaiyPqZMfU49BsqbKh4QQQggh1aFXYrVt2zYTh0EIKU9tKMCgR/FRQggh1cAJRZCGdNdaRgipOTTGihBiMlGpefjkaCS+PPEQnxyNRFRqnrlDIqRCeXl5WL58OcLCwuDm5gaO48q9uXjv3j2EhYXBwcEBbm5uePnll5Gamqq1nUqlwscff4zAwEBIJBK0bt0au3btMvErIXWNQGwPzxGLNP4JxPbmDouQOqVatzKKi4tx//59ZGdn6yzBXtmkvrWVqcpjG5u1xEmsg67z6fLjDNyMy4KtUICnOTJceZJhUecafQZIWWlpaVi1ahUaNGiANm3a4PTp0zq3i4+PR69eveDs7IzVq1cjLy8P69evx+3bt3H58mXY2try2y5ZsgRr167FtGnTEBoaigMHDuCll14Cx3EYN25cDb0yQgghpmZQYqVSqbBo0SJs2rQJBQUF5W5nrRMEV4e5J0TVl7XESaxD+ecTAwPAcYCldQa05M8AJXzm4+Pjg6SkJHh7e+Pq1asIDQ3Vud3q1auRn5+Pv//+Gw0aNAAAdOrUCc8++yy2bduG6dOnAwASEhLwySef4I033sDGjRsBAK+++ip69+6Nd955B6NHj4ZQKKyZF0cIIcSkDOoKuHr1aqxbtw4TJkzADz/8AMYY1q5di6+++gqtW7dGmzZt8Mcffxg7VqsQl1GA2IwC2NkIEJtRYLHlpWtLGeyo1DycjkyhLmZmVt751CnQHW3ru8BZaou29V0Q2tDNzJH+x1I/A+qEL/xSLL45E03ndg0Ti8Xw9vaudLuff/4ZQ4cO5ZMqAHjmmWfQpEkT7N27l1924MABFBcXY+bMmfwyjuPw+uuvIz4+HhcuXDDuCyCEEGI2BiVW27Ztw5gxY7B582aEhYUBADp06IBp06bh0qVL4DgOJ0+eNGqg1iQ5W4YLURlIzpZZ7KD92lAGmy5ALUd551OQpwPmDQzB3GeaYN7AEItqfbHUz4ClJnzkPwkJCUhJSUHHjh211nXq1AnXr1/n/75+/Trs7e3RrFkzre3U6wkhhNQOBnUFjI+Px4IFCwCU3N0DAJlMBgCwtbXFhAkT8Omnn2L16tVGCtO6eDtL0MrPFql5RRZbpr42lMEufQF6LzkX8ZmFVvk6aoOKzidLrWpoqZ8BS034yH+SkpIAlHQbLMvHxwcZGRmQy+UQi8VISkpCvXr1tH4L1I9NTEzU+RxyuRxyuZz/Oycnx1jhE0IIMRGDEit3d3fk5ZW0Djg4OMDJyQnR0dEa22RmZlY/Oivk7yaFi50NYjML4eMkseiLIku94NUXXYBaFks9nyoar2SJMVtqwkf+U1hY0oqovrFYmkQi4bcRi8X8fyvaTpc1a9Zg5cqVxgqZ1AEqeT7Sf/tSY5n7oNlUGZCQGmRQYtWuXTtcuXKF/7tv3774/PPP0a5dO6hUKnz55Zdo06aN0YK0OhzA/ftfYjp0AWo5LLXYgrq7aGxGAWyEHKZ0D7SKybstMeEj/7GzK7mJU7pFSU3de0O9jZ2dnV7blbVo0SK8/fbb/N85OTnw9/evXuCkVmNKBQoiz2kscxsws5ytCSGmYNAYq+nTp2t0U/jwww+RlZWFXr16oXfv3sjJycEnn3xi1ECtRVxGAYqVDD2CPVCsZDQ+wsSCPB3Qu4knXYSakSWPdVMXk8kuKMLdxFxsPffYouIj1kndjU/dJbC0pKQkuLm58a1UPj4+SE5O1hpvq36sr6+vzucQi8VwcnLS+EcIIcSyGZRYPffcc9i3bx//w9G8eXNERUVh3759OHjwIB4+fIguXboYNVBrQd3TSF2hrsh4+XGGxRZb8HeTwkbIISW3CJ6OtnSzgxiFn58fPD09cfXqVa11ly9fRtu2bfm/27Zti4KCAty7d09ju0uXLvHrCSGE1A4GJVa6ODs7Y/jw4Rg6dCjc3CynpHJNU3dPm9AlwKLmxSHEmEq3Up19kAobIWeRNxOCPB0wpXsgmvs6wkVqiwZuUouKj1ivF154Ab/++ivi4uL4ZSdOnMCDBw8wevRoftnw4cNhY2ODTZs28csYY/jqq6/g5+eHbt261WjchBBCTMegMVZqxcXFSEhIQGZmps6y4u3bt6/O7q0WjY8gtV3Zioz9m5WMW7LE2QX6hHjB301KY/GI3jZu3IisrCy+Yt+hQ4cQHx8PAHjzzTfh7OyMxYsX46effkLfvn0xZ84c5OXlYd26dWjVqhWmTJnC76t+/fqYO3cu1q1bh+LiYoSGhuKXX37B2bNnER4eTpMDE0JILWJQYpWVlYX58+cjPDwcRUVFWusZY+A4DkqlstoBEkIsT9kur95OEvx+Jxnp+UW4GZdlca21lnqzw9RFPyy1qIilW79+PWJiYvi/9+3bh3379gEAJkyYAGdnZ/j7++PPP//E22+/jXfffRe2trYYMmQIPvnkE60qgGvXroWrqyu+/vprbNu2DY0bN8bOnTvx0ksv1ejrIoQQYloGJVaTJ0/GoUOHMG7cOHTu3BnOzs7GjosQYsHKVmSkOcWqTt2dMj2/CO72tkZPRk29/9rsyZMnem3XokUL/PHHH5VuJxAIsGjRIixatKiakRFCCLFkBiVWR48exezZs/HZZ58ZOx5CiJUo2wpERVuqxtTJKCW7hBBCSM0yeILg4OBgY8dCCLFSNKdY1Zm6gihVKCWEEEJqlkGJ1fTp07F79268/vrrEAiMVliQEGLFLHUck6UydTJKyS4hhBBSswxKrJYuXQq5XI6OHTvi5ZdfRv369XVWNho5cmS1AySEkNrK1MkoJbuEEEJIzTEosUpISMDJkydx48YN3LhxQ+c2VBWQEEIIIYQQUlcYlFi98soruHbtGhYtWkRVAQkhpJqoLDohhBBi/QxKrP766y8sXLgQK1euNHY8hBBiEGtNTqgsOiGEEFI7GJRYeXt7w83NzdixEEIqYK2JQ02w5uSEyqITQoyBEwgh9m+ptYwQUnMMSqzmzZuHzZs3Y+rUqXBwoAsAQkzN0hMHcyd91pycUFl0QogxCCQO8H5prbnDIKROMyixkslksLGxQXBwMMaMGQN/f3+tqoAcx+Gtt94ySpCE1HWWnDhYQtJnzcmJscqimzu5JYQQQuo6gxKr+fPn8/+/ceNGndtQYkWI8Vhy4mAJSZ+1z9lU3bLolpDcEkIIIXWdQYnV48ePjR1HrUJ3jklVnI5Mwa34bLSu74w+IV46t7HkxMFSkr66PGeTJSS3hNRGDd89bO4QCCFWpMqJVWFhIb744gv07dsXw4YNM0VMVo3uHFsWS09yT0emYNWhu8iVKeAoKfk4VpRcWeJrsOSkrzbQ5xy2lOSWEEIIqcuqnFjZ2dnh66+/RvPmzU0Rj9WjO8eWwxqS3Fvx2ciVKdDQ3Q5P0gtxJyG73MTKkllq0mft9D2HKbklhBBCzM+groAdOnTAnTt3jB1LrUB3ji2HNSS5res7w1EiwpP0QjhKRGjpZ72TbVt66yBgHTGWVpVzmJJbQuo2lbwAmX9u11jm2nsSBGKpmSIipO4xKLH6/PPPMXjwYLRs2RKTJ0+GSGTQbmolunNsOawhyVW3Tt1JyEZLP91jrCwtGdAVjzW0DlpDjGVZwzlMCLEMTFmMvOuaY8JcerxkpmgIqZsMyogmT54MgUCAGTNmYPbs2fDz84OdneYPPsdxuHnzplGCtDZ059gyWEuS2yfEq9zuf5aWDJQXjzW0DlpDjGVZyzlMCCGEEAMTKzc3N7i7uyMkJMTY8RBiVNae5FpaMlBePNbQsmINMepi7ecwIYQQUlcYlFidPn3ayGEQQnSxtGSgvHisoWXFGmIkhJDaQt9S9U/WDjFxJITUHBocRayOpY05MiVLSwYqiscaWlasIUZCCCGEWCeDEyulUomdO3fi8OHDiImJAQAEBARg6NChGD9+PIRCodGCJETN0sYc6UOfRLCibSwtGbC0eAghhBBCLIHAkAdlZ2eje/fueOWVV3D06FEUFxejuLgYx44dw5QpU9CjRw/k5OQYO1ZCNMb4pOcXIT6z0NwhVUidCIZfisU3Z6IRlZpn0DaEEEIIIcSyGZRYLVmyBH///Tc2bNiA1NRUXLt2DdeuXUNKSgo2btyIq1evYsmSJcaOlRCLG3NUGX0SQWtLFgkhhBBCiDaDugLu378fM2fOxMyZMzWW29jY4PXXX8e9e/cQERGBDRs2GCVIQtQsbcxRZfRJBK0tWSSWoS6NNSSEEEKsgUGJVXp6eoWl1ps2bYqMjAyDgyKkItY0xkefRNDakkViftY41pAQQgip7QzqChgcHIyDBw+Wu/7gwYMICgoyOChCapMgTwf0buJZ4YWvPtsQokbdRwkhhBDLY1CL1cyZMzFr1iwMHjwYc+fORZMmTQAAkZGR+PLLL3Hs2DFs3LjRqIESQggpQd1HCakefedYIoSQqjA4sUpJScHatWvxxx9/aKyzsbHBsmXL8PrrrxslQGtH4yBIVdD5UjdV9X2n7qPmd/r0afTt21fnugsXLqBLly783+fPn8eCBQtw7do1ODk5YcyYMVi9ejUcHOh9I0SfJJcmESbWwuB5rFasWIFZs2bh+PHjGvNYPfPMM/Dw8DBagNaMxkFUX11KNOh8sVymPA8Nfd+taaxhbTZ79myEhoZqLAsODub//8aNG+jfvz+aNWuGTz/9FPHx8Vi/fj0ePnyI3377rabDJYQQYkIGJ1YA4OHhgXHjxhkrllqn9DiIe8m5iM8spAuhKqhriQadL5bJ1Ochve/WrWfPnhg1alS56xcvXgxXV1ecPn0aTk5OAICGDRti2rRpOHr0KAYMGFBToZLajhPAxr2B1jJCSM2pVmKVm5uLmJgYZGZmgjGmtb5Xr17V2b3Vo3EQ1VPXLjjpfLFMpj4P6X23frm5ubCzs4NIpPmTmpOTg2PHjuGtt97ikyoAmDhxIt566y3s3buXEitiNEI7R/i+usncYRBSpxlcbn3WrFn4+eefoVQqAQCMMXAcp/H/6nV1laWNg7C2bnV17YLT0s4XUsLU5yG979ZtypQpyMvLg1AoRM+ePbFu3Tp07NgRAHD79m0oFAr+bzVbW1u0bdsW169fN0fIhBBCTMSgxGratGk4dOgQZs+ejZ49e8LV1dXYcdUaljIOwhq71VnjBWd1k1dLOV/If2riPKT33frY2trihRdewODBg+Hh4YG7d+9i/fr16NmzJ86fP4927dohKSkJAODj46P1eB8fH5w9e7bc/cvlcsjlcv7vnJwc478IQgghRmVQYnX06FG89dZb+Pjjj40dDzERa+1WZ00XnNaYvBrC2lo+jcGazkNSM7p164Zu3brxfz/33HMYNWoUWrdujUWLFuH3339HYWHJ/GJisVjr8RKJhF+vy5o1a7By5UrjB04IIcRkDBrVKJVK0bBhQyOHUkIul2PhwoXw9fWFnZ0dOnfujGPHjun9+D179qBr166wt7eHi4sLunXrhpMnT5okVmtS17rVmUNdmLRVnTyGX4rFN2eiEZWaZ+6QiAWISs3D6ciUOn8+BAcHY/jw4Th16hSUSiXs7Eq+Z0u3PKnJZDJ+vS6LFi1CdnY2/y8uLs5kcRNCCDEOg1qsJkyYgP3792PmzJnGjgeTJ09GREQE5s6di8aNG2Pbtm0YPHgwTp06hR49elT42BUrVmDVqlUYNWoUJk+ejOLiYty5cwcJCQlGj9PaWGO3OmtTF5JXa235JKZTV1pq9eXv74+ioiLk5+fzXQDVXQJLS0pKgq+vb7n7EYvFOlu6CCGEWC6DEqtRo0bhzz//RFhYGKZPnw5/f38IhUKt7dq3b1+l/V6+fBm7d+/GunXrMH/+fAAl1ZNatmyJBQsW4Pz58+U+9uLFi1i1ahU++eQTvPXWW1V7QXUEdWcyrbqQvNaF5JFUDSXbmqKjoyGRSODg4ICWLVtCJBLh6tWrGDNmDL9NUVERbty4obGMkOpSFcmQc/lnjWVOnV6AwFZipogIqXsMSqxKtxzp6qZnaFXAiIgICIVCTJ8+nV8mkUgwdepULF68GHFxcfD399f52M8//xze3t6YM2cOGGPIz8+nWe1JjavtyWtdSB5J1dTVZDs1NRWenp4ay27evImDBw9i0KBBEAgEcHZ2xjPPPIOdO3di6dKlcHR0BADs2LEDeXl5GD16tDlCJ7UUU8iRfW6XxjLH9kMBSqwIqTEGJVZbt241dhwAgOvXr6NJkyYa830AQKdOnQCUzGBfXmJ14sQJdOvWDV9++SU++OADpKenw9vbG0uWLMGsWbNMEi8hxmJNBSFqe/JIqqauJttjx46FnZ0dunXrBi8vL9y9exdbtmyBVCrF2rVr+e0+/PBDdOvWDb1798b06dMRHx+PTz75BAMGDEBYWJgZXwEhhBBjMyixmjRpkrHjAFDS57y8srQAkJiYqPNxmZmZSEtLw7lz53Dy5EksX74cDRo0wNatW/Hmm2/CxsYGM2bMKPd5jV3W1hIuki0hBqIfaxmjUtVzis7BuqMuJtsjRoxAeHg4Pv30U+Tk5MDT0xMjR47E8uXLERwczG/Xvn17HD9+HAsXLsRbb70FR0dHTJ06FWvWrDFj9IQQQkzBoMSqtKSkJKSkpCA4OBj29vbV2ldhYWG5ZWnV63XJyyupRJWeno7du3dj7NixAErGgrVq1QoffPBBhYmVMcvaWsJFsiXEQPRnDWNUqnpO0TlIarvZs2dj9uzZem3bo0cPnDt3zsQREUIIMTeDyq0DwIEDB9C0aVPUr18f7du3x6VLlwAAaWlpaNeuHfbv31/lfdrZ2ZVblla9vrzHAYCNjQ1GjRrFLxcIBBg7dizi4+MRGxtb7vMas6ytJZTctoQYiP6sYYxKVc8pOgfrJiq7TgghpC4zKLE6dOgQRo4cCQ8PDyxfvhyMMX6dh4cH/Pz8sG3btirv18fHp9yytADKLU3r5uYGiUQCd3d3reqEXl5eAEq6C5ZHLBbDyclJ45+hLOEi2RJiIPpTj1GZ0CWgRlt2qnIRXNVzis7BuofmOCOEEFLXGdQVcNWqVejVqxdOnTqF9PR0rFixQmN9165d8fXXX1d5v23btsWpU6eQk5OjkdyoW8Patm2r83ECgQBt27bFlStXUFRUBFtbW36delxW2epNpmIJA7ktIQZSNTU9RqWqXfWqek7ROVj3WEOXVlL7NXz3sLlDICag7/v6ZO0QE0dCSMUMarG6c+dOhfNv1KtXDykpKVXe76hRo6BUKrFlyxZ+mVwux9atW9G5c2e+ImBsbCzu37+v8dixY8dCqVRi+/bt/DKZTIbw8HA0b968wokYjS3I0wG9m3ia9aLCEmIglsuQrnpVPafoHKxbqJWSEEJIXWdQi5VUKkV+fn6566Ojo+Hu7l7l/Xbu3BmjR4/GokWL+IIY27dvx5MnT/Ddd9/x202cOBF//vmnRhfEGTNm4Ntvv8Ubb7yBBw8eoEGDBtixYwdiYmJw6NChKsdCSG1GF8HE2KiVkhBCSF1nUGLVt29fbN++HXPnztVal5ycjG+++QZDhw41KKAffvgBS5cuxY4dO5CZmYnWrVvj119/Ra9evSp8nJ2dHU6ePIkFCxbg+++/R35+Ptq2bYvDhw9j4MCBBsVCSG1l6otgKrVeN9XFsuuEEEKImkGJ1YcffoguXbogNDQUo0ePBsdx+OOPP3Dy5El8/fXXYIxh+fLlBgUkkUiwbt06rFu3rtxtTp8+rXO5l5eXQUUzSO1AF/NVY6qLYCq1TgghhJC6yKDEKiQkBH/99RfmzJmDpUuXgjHGJ0J9+vTB//73PzRs2NCYcRJSIbqYtwxRqXk4fCsJsRkF6BjgSkUMCCFGQ4UpiLFQMQxiKgZPENyiRQscP34cmZmZePToEVQqFRo1asRX32OMgeM4owVKSEWoIpn5qZPb2IwCJGfLcDUmEw3cpDR+ixBCCCF1gsETBKu5uroiNDQUnTt3hqenJ4qKirBlyxaEhIQYIz5C9ELFGMxPndx2DHCFt7ME3YLcqeWQEEIIIXVGlVqsioqKcPDgQURFRcHV1RVDhw7ly5gXFBRg48aN+Pzzz5GcnIygoCCTBEyILlSRzPxKJ7cN3KQY1MqH3gdCCKlBAjunyjcihJiM3olVYmIi+vTpg6ioKL7MuZ2dHQ4ePAhbW1u89NJLSEhIQKdOnbBhwwaMHDnSZEETokttqkhmjYU4KLklhBDzEUqd4T/7R3OHQUidpnditWTJEjx+/BgLFixAz5498fjxY6xatQrTp09HWloaWrRogZ07d6J3796mjJeQWs+aC3HUpuSWEEKIdaECJ8Tc9E6sjh07hilTpmDNmjX8Mm9vb4wePRpDhgzBgQMHIBBUe8gWIXUeFeIghBBCCLE+emdCT58+RZcuXTSWqf9+5ZVXKKkixEioEAchhBBCiPXRu8VKqVRCIpFoLFP/7ezsbNyoCKnDaKwSIYQQQoj1qVJVwCdPnuDatWv839nZ2QCAhw8fwsXFRWv79u3bVy86QuooSx+rZI3FNQghhJCqoImESVVVKbFaunQpli5dqrV85syZGn+rJwdWKpXVi44QYnGsubgGIYTUVqpiOfJvH9NYZt/qWQhsxGaKiJC6R+/EauvWraaMgxBiJai4huWhFkRCCCuWIePYVxrLpE17ApRYEVJj9E6sJk2aZMo4CCFWgoprWBZqQSSEEPMyZpl36lZo3arUFZAQQqytuEZtb82hFkRCCCHEMlBiRUgNqU0X+JZeXEOtLrTmUAsiIYQQYhkosSKkBtSFC3xLVBdac6ytBZEQQgiprSixIqQG6HuBX5tatSxBXWnNsZYWREJ0Meb4FEIIMSdKrAipAfpc4FOrlvHVtdYcSswJIYQQ86HEipAaoM8Ffl3otmYOdaU1hxJzQgghxLwosSKkhlR2gV9Xuq0R06DEnFSXvl3yqBw0IaZDn0PrRokVIRairnVbI8ZFibnlksvlWLZsGXbs2IHMzEy0bt0aH3zwAZ599llzh2ZSNHaKEFLXUGJFiAWpK93WiPFRYm65Jk+ejIiICMydOxeNGzfGtm3bMHjwYJw6dQo9evSo0r5aLv8DArG0So8x9p1tSpgIsR7UAlazKLEihJBaghJzy3P58mXs3r0b69atw/z58wEAEydORMuWLbFgwQKcP3/ezBESQgglYMZCiRUhhFgoqvJn/SIiIiAUCjF9+nR+mUQiwdSpU7F48WLExcXB39/fpDFQCxMhtY+lf64tOT5TJoeUWBFSA+gCmVQVVfmrHa5fv44mTZrAyclJY3mnTp0AADdu3DB5YkUIIcZiyQmTvkzZOkeJlQ6MMQBATk6OmSMhtUF0Wh62n3uCjIIiuEltMal7QzTyoAtkUrH7salISstAiJcjIlMyEBnnAE+xytxhmZz6e1f9PWztkpKS4OPjo7VcvSwxMVHn4+RyOeRyOf93dnY2AEAlLzBBlKQ2UBVpnxuqogJwQhszREOI9Wvw1k/8/6u/eyv7baLESofc3FwAoLuIxCQ+N3cAxCr9YO4Aalhubi6cnZ3NHUa1FRYWQiwWay2XSCT8el3WrFmDlStXai1P2DzZqPGR2i3x62nmDoGQWqWy3yZKrHTw9fVFXFwcHB0dwXGczm1ycnLg7++PuLg4rS4elo5iNw+K3TwodvMwNHbGGHJzc+Hr62vC6GqOnZ2dRsuTmkwm49frsmjRIrz99tv83yqVChkZGXB3dy/3d8lSWfN5bM3ouJsHHXfzMPVx1/e3iRIrHQQCAerXr6/Xtk5OTlb7waHYzYNiNw+K3TwMib02tFSp+fj4ICEhQWt5UlISAJT7Iy0Wi7VaulxcXIweX02y5vPYmtFxNw867uZhyuOuz2+TwCTPTAghhBC0bdsWDx480Bqze+nSJX49IYSQ2oESK0IIIcRERo0aBaVSiS1btvDL5HI5tm7dis6dO9NYXkIIqUWoK6CBxGIxli9frnNQsqWj2M2DYjcPit08rDl2Y+rcuTNGjx6NRYsWISUlBcHBwdi+fTuePHmC7777ztzh1Qg6F8yDjrt50HE3D0s57hyrLTVtCSGEEAskk8mwdOlS7Ny5E5mZmWjdujXef/99DBw40NyhEUIIMSJKrAghhBBCCCGkmmiMFSGEEEIIIYRUEyVWhBBCCCGEEFJNlFgRQgghhBBCSDVRYkUIIaTKaHguIYSQmqBSqcwdgt4osSJmRxdopK7Jzs42dwgG27NnDwCA4zgzR0IsCX2P1wyZTKbxNx13Ups9fPgQSqUSAoH1pCvWE6kJXb9+HbGxsRoXO9byZVVQUGDuEAwWHR2NgoICrR8Ka3Dz5k08fPgQ8fHx/DJrOWcA4MCBA5g5cyaio6MBWNfdoF27dsHR0RHnzp0zdyhVtm/fPgwYMACfffYZnjx5Yu5wqmT37t0ICgrCiy++iL/++svc4RAzOnbsGN59911s3rwZ58+fB0CJtqnduXMHo0ePxrhx4/Daa6/h8uXLAOi4m9qePXvw2muv4aOPPtL43rOm33trtGPHDjRp0gQDBgxA8+bNsWrVKqu5IVmnE6t79+6hR48e6N+/P9q0aYNOnTrh559/hkKhAMdxFv3BiYyMRIcOHfDqq6+aO5Qqu3XrFoYMGYJhw4YhMDAQffr0wblz5yz6eKvdunULzz77LIYOHYoOHTqgTZs2+PLLL/lzxhocO3YMzz//PHbs2IFff/0VAKzibtD169fRuXNnvPLKKxgyZAicnJzMHZLeEhMTMWTIEEycOBG2traQSqWQSqXmDksv6uM+adIkODo6QiKRQC6XmzssYgbZ2dkYO3Yshg0bhsOHD2PevHkYOHAgvvzyS2RkZACgC05jUh/LHTt2oGvXrkhISEBxcTF27dqFZ599FuvXrzdzhLXX06dPERYWhqlTp+LKlSv46KOP8Mwzz2DFihXIysqy+GtEa/bNN9/g9ddfR79+/fDqq6+iffv2WLFiBWbOnImoqCgAFn4zmNVRT58+Ze3atWPdunVj33//Pfv+++9Zly5dmIuLC1u+fDljjDGVSmXeIHVQqVQsIiKCNWnShHEcxziOY6dPnzZ3WHpRKBTsyy+/ZJ6enqx3795s2bJlbObMmczf3581bdrUol9HUVER+/DDD5mLiwvr3bs327BhA9u1axfr06cPc3JyYvv27TN3iJVSn89///03c3d3Z3Z2dqxz587sxo0bjDHGlEqlOcMrV0FBAZsyZQrjOI717t2bHThwgD19+tTcYVXJ8uXLWbNmzVh4eDiLjY01dzh6yc7OZhMnTmQcx7E+ffqwAwcOsMOHDzOJRMLWr1/PGCv5TJO6Y+/evczV1ZVt2bKFxcbGsnv37rGJEycysVjM5s2bZ+7waq1evXqxsLAw9uTJE8YYY48fP2bjx49nHMexXbt2MblcbuYIa5/t27czNzc3Fh4ezhITE1l6ejqbPHkyc3R0ZDNnzjR3eLVWXl4e69atG3vmmWdYUlISv/yjjz5iTk5ObNy4cWaMTj91NrHavXs3E4lELCIigl8WHx/Pxo4dyziOY8ePHzdjdOWLiopiLVu2ZO7u7uyDDz5gzZs3Z126dGHFxcXmDq1Sv//+O2vUqBF75ZVX2P379/nl586dYxzHsYULF1rs6zh8+DBr3749mzt3Lnvw4AF/Qfnw4UPGcRz7+OOPLTIR1yUiIoINGDCAffXVV4zjOLZ48WL+9Vjaa1AoFOzDDz9kHMexadOmsdTU1HLPEUuLXS02NpbVq1ePzZ49W2t5aZYUf35+PmvcuDFr1KgR27x5M4uJiWGMMRYdHc1cXV3ZyJEjLTYRJ6bz3HPPsebNm2stHzFiBHNxcWG7d+9mjFHCbUzXrl1jDg4O7NNPP9VYHhMTw/r378+Cg4PZX3/9Zaboaq/evXuzLl26aCzLz89nkydPZhzHscOHDzPGLOt7uzbIyMhgHh4e7IMPPmCMaX6XvPbaa0wikbDvvvuOMWa5N4Mtv/+PicTExMDe3h7PP/88AKC4uBh+fn5YsGABQkNDMXfuXKSkpJg5Sm0ikQjPPfccTpw4gSVLluCNN97ApUuXsH37dnOHVqm7d+9CLBZj7dq1CAkJAQAUFRWhW7du6Ny5M65duwaRSGSRzevOzs4YP348Fi9ejMaNG0MoFAIo6ffu6emJgIAAi+8aoI7N398fly5dwowZM9C/f39s3boVp06dMnN0ugmFQgwcOBDdunXD2bNn4eHhAZFIhIMHD2Ly5MlYuHAhtm7diqKiIovtivnkyRPk5uZi1qxZAEq69bRo0QJhYWF4/vnnsWvXLgCWM1ZCpVJBKpVi+/btOHjwIKZOnYoGDRoAAAIDAxEcHIyMjAwUFxdb9PlOjEsul6OoqAguLi78sqKiIgDAkiVLEBgYiEWLFkGhUPDfj6T6vL29UVRUBHt7ewDgu+E2aNAA69evR0JCArZt24a0tDRzhllrqFQqyOVySCQSiEQifrlCoYBUKsWbb76J9u3bY/bs2WCMWcz3tjU6fPgw2rdvrzF2LScnBxzHISkpCXK5HEKhEEqlEgAwa9YstG3bFitWrIBMJrPcIQxmTetqgDqjLXtX4bPPPmOOjo7s1KlTjDGmccd+z549TCwWs9WrV+t8bE0pL3aZTMb/f2RkJBswYACrX78+S0tLq9H4KlI69tLxR0ZGaqxnrOTY9+nTh/Xo0YMVFhbWbKA6lHfcyzp79ixr2bIlc3JyYitWrGC3b99mmZmZGvswh8rij4iIYMHBwYwxxq5fv844jmOTJk1iGRkZFT6uJpQXu7p1bd68eWzAgAGM4zgWHBzMHB0dGcdxbOTIkezOnTsa+6hp5cV+9epVJhKJ2P79+9n333/PBAIBGzVqFJs0aRLz8vJiHMexrVu3miHi/+hzzqtUKqZUKtkbb7zBnJ2d+XOd7tjWLhkZGezBgwf890Fpo0ePZk2aNOG/x0v77LPPmEQiYR9++CFjzHLvJlubnJwc1qZNG9a3b19+WenP3DvvvMMcHR3ZiRMnzBGeVbt37x6bM2cOe/PNN9mSJUvYgwcP+HUjRoxgISEh7Pbt24wxzfN5y5YtjOM49tlnn2mtI/p5/PgxCwgIYBzHseeff15jXZ8+fVinTp1YfHy81uO++OIL5ujoyNauXcsYs8zfn1qbWKnHxHz77bcay9VvwrFjx5hYLGYrVqzgl6k/HMnJyWzMmDHM09PTLH2Xy4u9PHv27GF2dnZswYIFJo6sclWNXZ14tWvXjo0dO5ZfZg76xK4+RxYuXMg4jmN9+/ZlkyZNYlOnTmUuLi5m7f9bWfzq43r58mXm6OjIEhMTGWOMTZ06lYnFYvbjjz8yxkq6O9S0yj6vMTExbNSoUYzjONavXz/2+++/s5iYGJaQkMDef/99JhAI2OjRo2s8bsYqP+5Xr15lHh4ebMKECaxNmzZs6dKlLDc3lzHG2K1bt9jAgQOZu7s7u3fvXk2GzRir+ueVMcaWLl3KOI5jBw8eNGFkxBwWL17MQkJCmI+PD7O1tWXvvvuuRhJ1+PBhflyPmvqmZFxcHOvRowdr06YNS01NrfHYa7N33nmHeXt7s6NHjzLGNLtHPXr0iHl4eLD58+czxizzQtPSyOVyNn/+fGZnZ8c6duzIGjduzDiOY40aNWI//fQTY6zkBiTHcez777/nf/fVx/3Jkyesf//+LDAwkMa3GSg7O5u5uLiwFi1asPr167MffviBX7djxw4mFAo1huqoj31sbCxr06YN69OnD39zz9LUysTqzJkzrEWLFozjODZgwAB29+5dxpj2F0779u1Zu3bt+DsSpdeHh4czkUjENm/erPOx5o699LKUlBT2yiuvMIlEwt+1N8eXa1ViLy0uLo7Z29uzNWvWMMbM0z9f39jVf+/fv5/t2bOHpaWl8csWLVrEBAIBW7duHWOsZu9iVeXY7927lzVp0oQvAJGTk8OkUinr27cvmzJlCnv55Zf5pMuSYg8PD2eTJ09m586d01o3fvx45uzszF/sW9rntXv37kwgEDAPDw92/vx5jXVHjx5lbm5ubM6cOYyxmjtvqvp5Vcd19uxZxnEc27t3b4XbE+tx69Yt1rt3b1a/fn22ePFitnr1avbKK68wjuPY1KlT+XGNcXFxLDQ0lHXv3l3jokZ9DqxYsYI5OjryCQAxjqdPnzI3Nzf20ksv8b+P6s9jbm4uGz9+PPP39zdniFYjNzeXLV68mDVq1Ih99NFHLDIykimVSnbixAnm6+vLevbsyQoKCphCoWBt2rRhPXv25IuGlLZy5Urm4uLCj7Ui+lOpVCwuLo716dOHffjhhywkJISFhoayvLw8xljJ2PXQ0FDWuXNnjZs06nN+1qxZzMfHh0VHR5sl/srUusTqwoULrGnTpqxhw4Zs9OjRjOM49tFHH2kMeFd/MR04cIBxHMc++OADvguael1kZCSrX78+mz59eo1d6OgTe3lOnDjB/Pz8tJpUa0p1Yj9z5gzjOI798ccfNRCptqrEXtFF5MOHD1lwcDBr06aNRndNU9M3fnXsZ8+eZVKplMXFxfHrXnzxRSYUCpmNjQ1bvnw5/wVnCbGr487OzmYpKSkaj1dvd/HiRcZxnEYLtCXErv4++f333/kqnuqWKfWdzpSUFBYWFsb8/f1r7Lypzuf1zp07zNXVlb355puMMUqsrF1mZiabPHkyCw4OZvv27dNosR4+fDjz9PRkZ8+eZYyVfN6++eYbJhAI2P/+9z/+/C4qKmKMlfxuchzHV0mlLlLGs2rVKubp6ckP3C99A3LhwoXMy8uLRUVFmSs8q/H48WMWGBjIZsyYwbKysjTWzZgxg3l6erKrV68yxkpaTjiOY59++in/uVB/b1+/fp0JBAK2f/9+xhh9D1ZVSkoKk0gk7N69e2zt2rXMwcGBL1ghk8nY9u3bmVAoZGvWrOGPvfr38aeffmI2NjY6uyRbglqXWN29e5eJxWK+Obdnz56scePG7Ny5czq3Hzx4MPP19WWHDh1ijGl+WbVo0YJNnDiRMVYzH5qqxl46rry8PL6Ljrqv9Z9//skOHDigsZ0lxa62adMmJhKJ+O5RCoWCRUVF8V9ulhw7Y5oXD127dmVdunSp0cSqbPy9evWqMP7du3ezkJAQlpWVxU6dOsV69OjBhEIhc3JyYsHBwfxFlKWe86VjUx/71NRU5uLiUqPdYasau7o88owZMxhjTCOJGTVqFGvevDnLzs42feCseud8SkoKCwgIYP3792c5OTmmDpWYWEZGBgsNDeUv2Bn7L1E6deqUxm8KYyXVc0eOHMl8fX3ZqVOnNL4nLly4wMRiMfvqq69q7gXUETKZjLVs2ZIFBwdr3amfOXMm8/LystiuUZZEpVKxLVu2aCxTn+979+5lIpGIv/mVlZXFRo4cyby9vdkvv/yi8ZjLly8zjuPY9u3baybwWkSpVLKEhAQWEhLCzpw5w5KTk1mXLl1YYGAgnywlJyezqVOnMgcHB7Zjxw7+sSqVir366qvM29ubxcXFWWRCW6sSK3VSVPqutro1ZPbs2fxFS+kL4ZiYGObg4MC6dOnCrl27xi+/ePEic3JyYitXrrSo2HWdROrXc//+fda+fXvWqlUrtnLlSubv78/c3d1NPudPdWJnjLFhw4axbt26McZKuprs3LmTtWvXjrVv356lp6dbbOxl78b+8ccfzMbGhs2dO9eEEWuqSvzq13DixAlma2vLhg4dyoRCIevevTs7c+YM27t3L3/hXxP9xo157Ddt2sQ4jmPffPONCSP+jyHfNXFxcczJyUmrdfaff/5hQUFBbMKECTXyI2GM4z5y5EjWokULlpeXZ5E/bEQ/6vfz3r17OguYHD16lIlEIrZnzx6Nx92+fZv5+fmxDh068Ofy06dP2YIFC5ivr6/OrlOk+i5cuMD8/PxYq1at2NmzZ1lsbCz77bffWGBgIHvrrbfos6gn9U2tssMO1q1bx4RCocZ0MHFxcaxevXqsRYsW7Pfff2eMMZaQkMBmzZrFAgICWHJycs0FXotkZGQwqVTK38z7+uuvmZubG5s6dSpjjLG0tDSWnJzMOnfuzJydndl7773Hjh49yr799lvWsGFDi55LzGoTq927d7MZM2awtWvXsjNnzvDLS3+xqH8oJk2axFxcXLTuOKg/VNu2bWMNGjRggYGB7Msvv2TffvstGzZsGPP392e3bt2yyNh1iYmJ4edY4DiODR8+XKO7l6XFrlKpWG5uLvPx8WHjxo1jx48fZ8899xzjOI6FhYXprAhjKbGXlpiYyA4dOsR69+7Nmjdvzo/ZMzZjxX/u3DnWunVr1qxZM7Zx40YWFxfHfxa6d+/Opk2bZvTEylTHPjk5me3fv5+1bt2a9e7d2ySVMY35XbN7927m4+PD3Nzc2LRp09jq1avZoEGDmKurq0m6wpriuKtUKvbBBx8wjuP4u4t0QVe7qN/PgwcPMo7j+AvN0u/z6dOnWaNGjRjHcax79+6sf//+TCwWs3feeYfJ5XI6J0zk5MmTrFGjRszGxoYFBQUxJycn1r59e7MUv6kt1N+Bc+bMYd7e3nwLlvp7+48//mDt27dnHMextm3bsq5duzIbGxu2cuVKplAo6Fw3QHR0NGvSpAn/eyOXy9nzzz/PPDw82NixY1n79u3Z33//zaKjo9mMGTMYx3HMxcWFSSQS9uKLL9ZY7w5DWF1ilZyczAYOHMjs7e1Z+/btmaurKxOLxWz58uV8M3jZyU7j4+OZg4MDGzlyJJ9oKJVKrR+J7t27M2dnZ+bu7s5at25t9En3jBl7WWfPnmVhYWFMIBCwdu3a6d2NzdyxP3r0iEmlUta+fXvm4ODAQkJCjF421lSxnz59mk2bNo2NGjWKOTo6sjZt2rArV64YNXZjxq++S1dUVMTOnDnDbt++zSdQ6scZu9y9KY/9a6+9xl588UXm4ODA2rdvz27cuGGxsZf+rjl37hwbOHAgc3FxYV5eXqxdu3YaSY+lxa7LZ599xjiO06jaRGqfd999l7m6urLMzEyd4x4fPXrEVqxYwcaOHcvCwsLYr7/+aq5Q65RHjx6x8PBwtmzZMo1uUqR6OnTowF544QXGmHZrVmpqKlu7di2bNm0aGzt2rFYRIlI16enpTCwWa1xnv/POO8zW1pYJhUK2ZMkSjd5W9+7dY6dOneILtFkyq0ustm/fztzc3Fh4eDhLTExk6enpbPLkyczR0VFn06D6B+DDDz9kAoGAbdmyReMip/T/FxYWsqdPn5rk4tgUsZd2/PhxZmtryzZu3GhVsZ88eZJxHMe8vLysLvZDhw6x4OBg1qdPH/b999+bJHZTxV9Td9hMdewjIiKYg4MD69y5s8m6/5nyu0Yul7PMzEx28+ZNq4hdTZ1oJSUlsW3btpkkdmJ+6vd54MCBrGvXrnpvT4i1SklJYXZ2dnxVX8ZKzmtd87mR6ouKimJNmjRhR48eZefPn2c9e/ZkQqGQNW7cmDk5OfHjNM1RJbq6rC6x6t27N+vSpYvGsvz8fDZp0iTGcRxf+rLsF31RURELCgpinTt35ieBi4qK0hhnYOofB1PGzphpT0Bjx176TsTXX3/NN71bW+xRUVFWdd48evRI67wxJVMe+5s3b1rVOV9bvmuo20vtUdF5qFAomIuLC1u6dCm/Z4cn3QAAGONJREFULD09nZ08eZIVFBQwxuhcILWH+ibv6dOnGWMlN4927NjBQkNDa/Q3s66Ij49nYrGYtW3blolEIta1a1d29OhRdu7cOdaiRQvm5+dntUmt1SRWSqWSyWQyNnDgQNa9e3d+ubp7wt9//806dOjAGjVqpPVlX7a8+sKFC9nWrVtZ+/bt2ezZs00+ISrFrjt2U1cUM2XsNVGO3JTxqy+MrDF2Ux97+ryaJ3ZSc1QqlUZStX//fnb58mWNba5du8ZXBCwsLGTnz5/n57ZSz+9IiLVTfw9+9NFHzMXFhT148ICdOnWKPf/888zGxoZ17NhRY75KYhwKhYK9/PLLLDg4mG3YsIHFxsbyv0FLly5lEydOZNnZ2VZ53C0ysbp37x6bM2cOe/PNN9mSJUv4O6eMMTZixAgWEhLCFwgo/eOwZcsWxnEc++yzzxhj2i04xcXFLDQ0lAmFQsZxHPPx8eGrvFDsFLu5Yrf2+Cl2ip1Yj9Lv9507d1j//v0Zx3Fs9erVGhcxX3zxBRMKhSwiIoJ98MEHzN3dnXl7e7Mff/zRHGETYlIjR45kQUFBbNq0aczR0ZE1btyYJro2sfj4eHbnzh2t6Wn0mU/RkllUYiWXy9n8+fOZnZ0d69ixI2vcuDHjOI41atSIn28lIiKCcRzHvv/+e/5iQf1D8eTJE9a/f38WGBioNSj/2rVrbMmSJczBwYE5Ojqyzz//nGKn2M0au7XHT7FT7MR6lE6ocnNz2fTp0xnHcaxTp078WDzG/kvCX3/9dWZvb88aNWrERCIRW7JkiVniJsTUCgsLWdu2bRnHcczJyYm/6USIISwmscrNzWWLFy9mjRo1Yh999BGLjIxkSqWSHT9+nPn6+rKePXuygoICplAoWJs2bVivXr10zpWxYsUK5uLiwo8hYKzkomHWrFmM4zg2adIkfiJaip1iN1fs1h4/xU6xE+tQeg47xkoqOjo6OjI/Pz/28ccfs4cPH+oca9W9e3fGcRybMGECjTEhtd6CBQvYwoULtVpPCKkqi0msHj9+zAIDA9mMGTNYVlaWxroZM2YwT09PdvXqVcYYYzt27GAcx7FPP/2U7/evvvN6/fp1JhAI2P79+xlj/zUpXr58md29e5dip9gtInZrj59ip9iJdfn9999Z06ZNmUQiYTNnzmSXL1/WOb2CumXr0qVL/LlESG1HlS2JsVhMYqVSqdiWLVs0lqkrxe3du5eJRCJ+ArysrCw2cuRI5u3trTWZ5eXLlxnHcWz79u01Ezij2Bmj2A1hzfFT7BQ7sQ5KpZK99957jOM4NmzYMPbbb7/xc5kRQggxLotJrBj7765p2cHU69atY0KhkJ/9nTHG4uLiWL169ViLFi34gdUJCQls1qxZLCAggCUnJ9dc4Ixip9gNY83xU+wUO7EOp06dYtu3b2fx8fHmDoUQQmo1i0qsylI3zc6ZM4d5e3vzd2bVFxR//PEHa9++PeM4jrVt25Z17dqV2djYsJUrVzKFQmHWMo0UO8VuCGuOn2Kn2IllKjvOit5zQggxDY4xxmDhOnbsiIYNGyIiIgJKpRJCoZBfl5aWhu+++w5RUVHIycnBnDlz0LVrVzNGq4liNw9rjh2w7vgpdvOw5tgJIYSQWsHcmV1lUlJSmJ2dHVu3bh2/TKlUWsWMzBS7eVhz7IxZd/wUu3lYc+yEEEJIbSEwd2JXmTt37kAmkyE0NBQAkJycjB9//BEDBw5EamqqmaOrGMVuHtYcO2Dd8VPs5mHNsRNCCCG1hcUmVuzfHopXrlyBs7MzfH19cfr0acycOROvvPIKGGMQCAT8dpaEYjcPa44dsO74KXbzsObYCSGEkNpGZO4AysNxHADg0qVLcHd3x7p167B79254e3vj8OHDePbZZ80cYfkodvOw5tgB646fYjcPa46dEEIIqXVqrtdh1RUWFrK2bdsyjuOYk5MT++yzz8wdkt4odvOw5tgZs+74KXbzsObYCSGEkNrE4qsCLly4EBzHYeXKlRCLxeYOp0oodvOw5tgB646fYjcPa46dEEIIqS0sPrFSqVQQCCx2KFiFKHbzsObYAeuOn2I3D2uOnRBCCKktLD6xIoQQQgghhBBLR7c4CSGEEEIIIaSaKLEihBBCCCGEkGqixIoQQgghhBBCqokSK0IIIYQQK7Nt2zZwHIcnT54Y9PjJkyejYcOGRo2pJlX39evy5MkTcByHbdu2GW2fVTV48GBMmzbNaPsbN24cxowZY7T9kYpRYkUIIYSQOmPTpk3gOA6dO3c2dyjETH788Ud8/vnn5g5Dy7lz53D06FEsXLiQX5aVlYXx48fD1dUVjRo1wnfffaf1uKtXr0IqleLx48da6xYuXIiff/4ZN2/eNGnspAQlVoQQQgipM8LDw9GwYUNcvnwZjx49Mnc4xAzKS6wCAgJQWFiIl19+ueaDArBu3Tr0798fwcHB/LL58+fj9OnTWLlyJYYOHYpp06bh/Pnz/HrGGGbPno25c+ciMDBQa5/t2rVDx44d8cknn9TIa6jrKLEihBBCSJ3w+PFjnD9/Hp9++ik8PT0RHh5u7pDqnPz8fHOHUC6O4yCRSCAUCmv8uVNSUnD48GGtbnu//vor1qxZg9mzZ+PLL79Er169cOjQIX59eHg4YmJisHjx4nL3PWbMGOzbtw95eXkmi5+UoMSKEEIIIXVCeHg4XF1dMWTIEIwaNUpnYqUeZ7N+/Xps2bIFQUFBEIvFCA0NxZUrVzS2nTx5MhwcHJCQkIARI0bAwcEBnp6emD9/PpRKJb/d6dOnwXEcTp8+rfO5So/puXXrFiZPnoxGjRpBIpHA29sbr7zyCtLT0w1+3b/88gtatmwJiUSCli1bYv/+/Tq3U6lU+Pzzz9GiRQtIJBLUq1cPM2bMQGZmptZ2K1asgK+vL6RSKfr27Yu7d++iYcOGmDx5Mr+dehzUn3/+iZkzZ8LLywv169cHAMTExGDmzJkICQmBnZ0d3N3dMXr0aJ1jpv755x/069cPdnZ2qF+/Pj744AOoVCqt7Q4cOIAhQ4bA19cXYrEYQUFBeP/99zXeiz59+uDw4cOIiYkBx3HgOI4fa1beGKuTJ0+iZ8+esLe3h4uLC4YPH4579+5pbLNixQpwHIdHjx5h8uTJcHFxgbOzM6ZMmYKCgoLy3hre4cOHoVAo8Mwzz2gsLywshKurK/+3m5sbv7/8/Hy8++67WLNmDRwcHMrd97PPPov8/HwcO3as0jhI9YjMHQAh5D/btm3DlClT+L/FYjHc3NzQqlUrDBkyBFOmTIGjo2OV93v+/HkcPXoUc+fOhYuLixEjJoQQ6xEeHo6RI0fC1tYWL774IjZv3owrV64gNDRUa9sff/wRubm5mDFjBjiOw8cff4yRI0ciOjoaNjY2/HZKpRIDBw5E586dsX79ehw/fhyffPIJgoKC8Prrr1c5xmPHjiE6OhpTpkyBt7c3/vnnH2zZsgX//PMPLl68CI7jqrS/o0eP4oUXXkDz5s2xZs0apKenY8qUKXyCU9qMGTP436HZs2fj8ePH2LhxI65fv45z587xr3vRokX4+OOPMWzYMAwcOBA3b97EwIEDIZPJdMYwc+ZMeHp6YtmyZXyL1ZUrV3D+/HmMGzcO9evXx5MnT7B582b06dMHd+/ehVQqBQAkJyejb9++UCgUePfdd2Fvb48tW7bAzs5O63m2bdsGBwcHvP3223BwcMDJkyexbNky5OTkYN26dQCAJUuWIDs7G/Hx8fjss88AoMKk5Pjx4xg0aBAaNWqEFStWoLCwEBs2bED37t1x7do1rQIgY8aMQWBgINasWYNr167h22+/hZeXFz766KMK36fz58/D3d0dAQEBGstDQ0Px6aefomnTpoiOjsbvv/+Ob775BgCwevVq+Pn5Vdp1sXnz5rCzs8O5c+fw/PPPV7gtqSZGCLEYW7duZQDYqlWr2I4dO9j333/PVq9ezQYMGMA4jmMBAQHs5s2bVd7vunXrGAD2+PFj4wdNCCFW4OrVqwwAO3bsGGOMMZVKxerXr8/mzJmjsd3jx48ZAObu7s4yMjL45QcOHGAA2KFDh/hlkyZN4r+zS2vXrh3r0KED//epU6cYAHbq1Cmdz7V161Z+WUFBgVbsu3btYgDYmTNn+GXq34vKvtfbtm3LfHx8WFZWFr/s6NGjDAALCAjgl509e5YBYOHh4RqP//333zWWJycnM5FIxEaMGKGx3YoVKxgANmnSJK0Ye/TowRQKhcb2ul7nhQsXGAD2ww8/8Mvmzp3LALBLly7xy1JSUpizs7PW69e1zxkzZjCpVMpkMhm/bMiQIRqvXU3X+9G2bVvm5eXF0tPT+WU3b95kAoGATZw4kV+2fPlyBoC98sorGvt8/vnnmbu7u9ZzldWjRw+Nc0bt1q1brH79+gwAA8BeeOEFplQqWXR0NLOzs2MXLlyodN+MMdakSRM2aNAgvbYlhqOugIRYoEGDBmHChAmYMmUKFi1ahD/++APHjx9HSkoKnnvuORQWFpo7REIIsSrh4eGoV68e+vbtC6BkPM3YsWOxe/duja5iamPHjtXogtWzZ08AQHR0tNa2r732msbfPXv21LmdPkq3xMhkMqSlpaFLly4AgGvXrlVpX0lJSbhx4wYmTZoEZ2dnfvmzzz6L5s2ba2z7008/wdnZGc8++yzS0tL4fx06dICDgwNOnToFADhx4gQUCgVmzpyp8fg333yz3DimTZumNW6p9OssLi5Geno6goOD4eLiovE6jxw5gi5duqBTp078Mk9PT4wfP17reUrvMzc3F2lpaejZsycKCgpw//79cuMrj/r4TZ48GW5ubvzy1q1b49lnn8WRI0e0HqPrXEhPT0dOTk6Fz5Wenq5xvqm1atUKDx8+xJUrV/Dw4UNERERAIBBg3rx5eOGFF9ClSxfs27cPbdq0QWBgIFatWgXGmNZ+XF1dkZaWpu9LJwaixIoQK9GvXz8sXboUMTEx2LlzJwD9+uKvWLEC77zzDgAgMDCQ71Neuh/7zp070aFDB9jZ2cHNzQ3jxo1DXFxcjb4+QggxFaVSid27d6Nv3754/PgxHj16hEePHqFz5854+vQpTpw4ofWYBg0aaPytvugtO95IIpHA09NTa9uy2+krIyMDc+bMQb169WBnZwdPT0++2lt2dnaV9hUTEwMAaNy4sda6kJAQjb8fPnyI7OxseHl5wdPTU+NfXl4eUlJSNPZZunIdUDL2R1diAEBntbrCwkIsW7YM/v7+EIvF8PDwgKenJ7KysjReZ0xMjF7xAyVjsZ5//nk4OzvDyckJnp6emDBhAoCqHzv1c5f3XM2aNUNaWppWMQ59zxtddCVEQMk51rFjR/6Ynzx5EkePHsXatWsRGRmJcePGYe7cufj++++xadMmnfNwMcaq3I2UVB2NsSLEirz88stYvHgxjh49imnTpunVF3/kyJF48OABdu3ahc8++wweHh4AwF8IfPjhh1i6dCnGjBmDV199FampqdiwYQN69eqF69ev05gsQojVO3nyJJKSkrB7927s3r1ba314eDgGDBigsay8ynBlL371qSBX3gWtrpayMWPG4Pz583jnnXfQtm1bODg4QKVSISwsTGfBBmNRqVTw8vIqt1Ji2eSxKnSNh3rzzTexdetWzJ07F127doWzszM4jsO4ceMMep1ZWVno3bs3nJycsGrVKgQFBUEikeDatWtYuHChSY9dafqeN2W5u7vrlXwplUrMmTMH7777Lvz8/PD++++jW7du/PjsGTNmIDw8XGO8NlCS2OlKUIlxUWJFiBWpX78+nJ2dERUVBaBkQPC8efM0tunSpQtefPFF/PXXX+jZsydat26N9u3bY9euXRgxYoTGQNuYmBgsX74cH3zwgUap1pEjR6Jdu3bYtGlThSVcCSHEGoSHh8PLywv/+9//tNbt27cP+/fvx1dffaUzATAGdatFVlaWxnJ1i4haZmYmTpw4gZUrV2LZsmX88ocPHxr0vOpCCLoeHxkZqfF3UFAQjh8/ju7du1d4HNT7fPTokUZLVHp6epVa6SIiIjBp0iSN+ZVkMpnWMQoICNAr/tOnTyM9PR379u1Dr169+OW6Js3Vt+VG/VrLPhcA3L9/Hx4eHrC3t9drX5Vp2rQpfv7550q327x5M3JzczF//nwAQGJiInx9ffn1vr6+SEhI0HiMQqFAXFwcnnvuOaPESspHXQEJsTIODg7Izc0FUP2++Pv27YNKpcKYMWM0+tR7e3ujcePGfJ96QgixVoWFhdi3bx+GDh2KUaNGaf2bNWsWcnNzcfDgQZPFEBAQAKFQiDNnzmgs37Rpk8bf6taOsq0buiaz1YePjw/atm2L7du3a3SFO3bsGO7evaux7ZgxY6BUKvH+++9r7UehUPAJT//+/SESibB582aNbTZu3Fil2IRCodbr3LBhg1Yr3uDBg3Hx4kVcvnyZX5aamqrVsqbr2BUVFWkdYwCwt7fXq2tg6eNXOuG7c+cOjh49isGDB1e6D3117doVmZmZFY7Ny8jIwPLly7Fu3TpIJBIAQL169TTGj927dw/e3t4aj7t79y5kMhm6detmtHiJbtRiRYiVycvLg5eXF4CSL9mVK1di9+7dfP93NX1+NB4+fAjGWLndA0qXFCaEEGt08OBB5Obmlnu3vkuXLvxkwWPHjjVJDM7Ozhg9ejQ2bNgAjuMQFBSEX3/9Vet728nJCb169cLHH3+M4uJi+Pn54ejRozpbXfS1Zs0aDBkyBD169MArr7yCjIwMbNiwAS1atNCYMLZ3796YMWMG1qxZgxs3bmDAgAGwsbHBw4cP8dNPP+GLL77AqFGjUK9ePcyZMweffPIJnnvuOYSFheHmzZv47bff4OHhoXdr0NChQ7Fjxw44OzujefPmuHDhAo4fPw53d3eN7RYsWIAdO3YgLCwMc+bM4cutBwQE4NatW/x23bp1g6urKyZNmoT/t3c/IU3/cRzHX9NZQ41ID2IQMwRPLYThQTQM0lWKEFoS6EUEMUEPevFf6XSETlEjgonCgpiiHiIRJjkUxIt0MPBiXvTQxUtSXgLFbycHy/lL+66f+fs9H8fvPt8Pn+/pu9f2/nzejY2NslgsevPmTdQSPKfTqcnJSTU1NSknJ0fJyckqLS2Nus7+/n7dv39fubm5qqmpCR+3fvnyZXV1dZ3oWU+ipKREVqtVoVBItbW1Ucc8ffpUDodDjx49Cl8rLy9Xd3e3njx5IrvdrpGREQ0ODkbcNz8/r8TERBUVFcVsvYiOYAWcI58/f9bXr1/DG1jN1uIfHBzIYrEoGAxGrQv/p94eAHAeBAIB2Wy2Y79UxsXFqaSkRIFAwFQT3l95+fKl9vb25PP5dPHiRVVUVKi/v183btyIGDc+Pq6Ghga9evVKhmHI5XIpGAxGlHudxr179zQ9Pa2Ojg61trYqMzNTfr9f7969O9Kw2Ofzyel0amRkRG1tbbJarcrIyFBVVZXy8vLC4/r6+pSYmKjR0VGFQiHl5ubq/fv3ys/PD/+T8isvXrxQfHy8AoGAvn//rry8PIVCId29ezdiXHp6uhYXF9XQ0KDe3l6lpqaqrq5OV69eVU1NTXhcamqqZmdn1dzcrI6ODl25ckVVVVW6c+fOkTnr6+v18eNH+f1+DQ0NyW63HxusCgsLNTc3p87OTj179kwJCQkqKChQX19f1EM5fldaWpqKi4s1NTUVNVitra1pbGxMKysrEdcdDof8fr+6urq0u7ur+vr6I/dPT0+rrKzst/pg4pTO6Jh3AFEc9vz48OFD1M+fP39uSDLGxsaML1++GJIMt9sdMWZjY8OQZHR2doavDQwMRO134vV6DUnGp0+fYv0oAID/kZ2dHUOS4fF4znop59bS0pIRFxdnbGxsxGzO1dVVw2KxGKurqzGbE8djjxVwTiwsLKinp0fXr19XZWXlqWrxDzfX/rwpuKysTPHx8XK73UfmMQzjj/56CwA4n6L1Ujx899y+ffvfXcx/yK1bt+RyueT1emM2Z29vrx4+fKjs7OyYzYnjUQoI/IWCwaDW19e1v7+v7e1tLSwsaH5+Xna7XTMzM7LZbLLZbCeuxXc6nZKk9vZ2PX78WAkJCSotLVVmZqY8Ho9aW1u1tbWlBw8e6NKlS9rc3NTbt29VW1sbPnkIAABJmpyc1OvXr1VcXKzk5GQtLy9rYmJCLpcromQQpxcMBmM6X7T2AvhzCFbAX+jwmN0LFy4oJSVFDodDw8PDqq6ujqiRPmktfk5Ojnp6euTz+TQ3N6eDgwNtbm4qKSlJLS0tysrK0tDQkNxutyTp2rVrcrlcHM0KADji5s2bslqt8nq9+vbtW/hAC4/Hc9ZLA86Uxfi5/gcAAAAAcCrssQIAAAAAkwhWAAAAAGASwQoAAAAATCJYAQAAAIBJBCsAAAAAMIlgBQAAAAAmEawAAAAAwCSCFQAAAACYRLACAAAAAJMIVgAAAABgEsEKAAAAAEwiWAEAAACASQQrAAAAADDpB6uKoeA8cHKiAAAAAElFTkSuQmCC",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93113,7 +93237,7 @@
    "source": [
     "# Calculate the degradation rate using the YoY method\n",
     "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
@@ -93191,17 +93315,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning:\n",
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n",
+      "\n",
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning:\n",
       "\n",
       "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
       "\n"
@@ -93263,7 +93381,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n",
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93271,7 +93389,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93294,7 +93412,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n",
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93302,7 +93420,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93462,7 +93580,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\pvfleets100\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n",
+      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93470,7 +93588,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93930,7 +94048,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93946,7 +94064,7 @@
     "    confidence_level=68.2\n",
     ")\n",
     "\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
@@ -93989,7 +94107,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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TZEmS4sv+9re/0adPH+bPn8+DDz7Igw8+iF6vZ9q0aTz66KPxiaHb7Qbo1DEtttzlciV9lpeXl/Dzhg0bks6pV69eScKqe/fuKY8V219sTABPPPEE119/PZmZmZx++un07NkTq9WKIAgsXryYjRs3JpgM/OlPf6Jbt248/fTT/P3vf+fxxx9HEAQmTJjAww8/zAknnACo4gDg888/5/PPP085HoDW1taEMR1o7F3F7XbHe551ZV+x8e7atWu/z01svAcas06ni9cHpqKz83G5XIwaNYrS0lJGjx7NnDlzyMrKQq/X43K5eOKJJxLux6Fct0gkwuTJk1mzZg1Dhw7lwgsvJCcnJ36t7rnnnv0afHSVrjz7FRUVuFyuBGF1MN/DrrC/+/3mm2/ud9vY/dbpdHz55Zfce++9LFq0iFtuuQWA9PR0Lr30UubNmxd/6fJDcd555/HBBx/w6KOP8sILL/DPf/4TgOOPP5558+Zx+umn/6Dj0dDQOPJowkpDQ+MHQafTccEFF7B582buu+8+vvzyS2bOnBmfoB177LHxN+bf1/Gvv/56rr/+ehoaGvjmm2/4z3/+w5tvvsnWrVvZunUrJpMpPp66urqU+4m5AqZyPGzvugaq81p7R7DOqK+vT7k8NobYsaLRKHfffTd5eXl89913SRPg2Fv9jsyZM4c5c+bgcrlYsWIF77zzDi+88AJnnnkmO3bsICcnJ36MJ554grlz5x5wzLH1DzT2ruJwOHA6nSkNJFLtK3b8c889l7fffrtLx4hFN+vr6+nTp0/CZ5Ik0dzc3Glfp473Nsa//vUvSktLueuuu5IiKStXruSJJ55IOe6DuW7vvvsua9as4bLLLktyvKytrT1ijnLtn/1UUcj9PftHklTXOnbMd999t8s98DIzM/nb3/7G3/72N3bv3s1XX33FP//5T5566ilcLlfcVCQWLe4Y+Y3hcrk6FY8Hy/Tp05k+fTo+n4/Vq1fzwQcf8Mwzz3DWWWexfv16Bg8efESOo6GhcXTQ7NY1NDR+UNLT0wHiaUw2m40hQ4awdetWnE7nDzKG3NxczjvvPN544w0mT57Mnj172LJlC6AKPFDtkzsSjUb5+uuvATjuuOOO2Hi++eablLbcsTHExtTU1ITL5WLs2LFJoqq1tfWAwjQjI4Np06bx/PPPc9lll+F0Olm2bBmgpsIB8fM7EOnp6fTr14/q6mr27NnT6di7ynHHHYcsy3zzzTdd2tcxxxwTd46MRCJdOkbsOqY6xqpVqzqdWO+P3bt3A6qTXUdSpfS1H0OqSE6qc40d47zzzuvSMYB4muHBRIv29+zv3r2bqqoqiouLj5jIOBgO9vnsSL9+/bjyyiv56quvsNlsvPvuu/HPMjMzAaisrEzabvfu3QkR4wOh0+m6dM3T0tKYPHkyjz32GLfffjvhcJiPP/64y8fR0ND4caIJKw0NjSPKwoUL+fzzz1MKhbq6Op5//nkAxo8fH1/+pz/9iXA4zBVXXJEyxa6lpeWwolmhUIjly5cnLY9EInExZ7VaAZg5cyZZWVksXLiQVatWJaz/+OOPU1paymmnnZZUX3U47Nq1K6mn1LvvvstXX31Fv3794nbrubm5WK1W1q1bl5DiFolE+MMf/kBTU1PSvpcsWZKyl1BDQwOw77xPOOEExo0bx9tvv80LL7yQcpybN2+Obwdw+eWXI8syt9xyS8L9Li0t5e9//3tXTz++L1Bt8dv3ZXI6nSlrqPR6Pddddx21tbXMnTuXQCCQtE5tbW1Cb685c+YAcP/99ydMlsPhMLfffvtBjTdGzMq8oxhZv3498+bNS1q/R48enH766ZSWlvLUU08lfBa75109xt69e+Mpbh2JpTVWVFR04SxUrrjiCgDuu+++eE0dqOLsxhtvRJZlrrzyyi7v70hyzjnn0LdvX/7xj3/w0UcfpVxn5cqV+P1+QH0G9+7dm7ROS0sLoVAIi8USX3bMMcdgt9t59913E57vQCDQpehte7Kzs2lsbEz5PC5btiyleI9FL2PfRQ0NjZ8uWiqghobGEWX16tU88cQT5OXlccopp8T7PZWWlvLhhx8SCAQ455xzmDVrVnybK664gnXr1vH000/Tt29fzjzzTHr27InT6aS0tJRly5Zx+eWX8+yzzx7SmAKBAKeccgr9+vXj+OOPp1evXgSDQT7//HO2b9/O2WefzaBBgwA1gvbCCy8we/ZsJkyYwOzZs+nZsyfr1q3js88+Iy8vL14bcaSYMmUKN9xwAx9//DEjRoyI97Eym8288MIL8VQlURSZO3cuDz74IMOGDeOcc84hHA6zZMkSnE4nkyZNYsmSJQn7Pvfcc7HZbIwZM4bevXujKApff/01a9eu5fjjj+e0006Lr/vaa68xefJkrrzySv7+979z4oknkpGRQVVVFZs2bWLLli2sXLky3lfohhtuYPHixbz11lscd9xxnHnmmbhcrniD2ffee6/L1+CXv/wlr7/+Ou+99x5Dhw7lnHPOIRKJsGjRIkaNGpUyKvbnP/+ZjRs38uyzz/L+++8zefJkCgsLaWhoYNeuXSxfvpz7778/nl41YcIErrnmGp577jmGDBnC+eefj8Fg4P3338fhcFBQUJDSRGR/zJkzh4cffpjrr7+eJUuW0L9/f3bt2sUHH3zAeeedl7L59D/+8Q9OOukkrr/+ej777LP4PX/nnXeYMWMG77//fsL6M2bMoF+/fjz22GNs3ryZY489loqKCj744AOmT5+eUjxNmjQJURS57bbb2LJlSzwqc+edd3Z6LmPHjuXmm2/m//7v/xg6dCizZs0iLS2Njz/+mC1btnDKKadw0003HdT1OVIYDAbefvttzjzzTKZPn87YsWMZOXIkVquVyspK1q5dy969e6mtrcVqtbJx40bOO+88Ro0axaBBgygoKKCxsZF3332XSCSSIEgNBgN/+MMf+Otf/8qxxx7LueeeSzQa5fPPP6egoICCgoIujzPW123KlCmMHz8ek8nEiBEjmDFjBnPnzqW6upqTTz6Z3r17YzQaWbduHV9++SW9evXiF7/4xfdx6TQ0NH5IjqonoYaGxs+OiooK5amnnlJmzpypDBgwQElPT1cMBoOSl5enTJ06VXnllVdSWosriqK8//77yvTp05WcnBzFYDAo3bt3V0aNGqXccccdyvbt2xPWJUVfoxgdraTD4bDy0EMPKVOmTFGKiooUk8mkdOvWTTnxxBOVZ555RgmFQkn7WLNmjTJz5kylW7duisFgUIqKipRrr71Wqa6uPuDxukp7m+cVK1Yop556qpKenq7YbDbl9NNPV9asWZO0TSQSUR599FFl0KBBitlsVrp3765ccsklSllZWcpxPPPMM8rMmTOV4uJixWKxKJmZmcrIkSOVhx56KGU/LI/Ho9x///3Kcccdp6SlpSlms1np3bu3Mm3aNOWf//yn0tramrC+2+1W/vjHPyoFBQWKyWRSBg4cqDzyyCPKnj17DspuXVHUflL33HOPUlxcrBiNRqVXr17K7bffrgSDwU7vtyzLyssvv6xMnjxZyczMVAwGg1JQUKCcfPLJyv33369UVFQkrC9JkvLYY48pAwcOVIxGo5Kfn6/89re/VVwul2Kz2ZQRI0YkrN+ZrXZ7tm7dqsyYMUPJyclRrFarctxxxynPP/+8Ulpa2uk12LVrl3L++ecrDodDsVqtypgxY5QPPvig0+NVVFQoF110kVJQUKCYzWZl8ODBykMPPaREIpFOr80rr7wS7z9GW9uDGPt7ZhcuXKicfPLJis1mU0wmkzJ48GDlvvvuS+gvFmN/9uIHsnzvSMxufX/U19crt9xyizJkyBDFYrEoaWlpSr9+/ZTzzz9feeWVV+LW+5WVlcptt92mjB07VunevbtiNBqVwsJCZcqUKcpHH32UtF9ZlpV58+Ypffr0iX/fb7rpJsXn8x2U3Xpra6ty7bXXKoWFhYpOp0u4/6+//rryi1/8QunXr5+SlpampKenK0OGDFFuv/12paGhoUvXSEND48eNoCgpckQ0NDQ0NDT+h9i1axcDBgzgF7/4BQsXLjzaw9HQ0NDQ+Ami1VhpaGhoaPzPUFdXl1T/5/f74xb455577lEYlYaGhobGzwGtxkpDQ0ND43+Gxx9/nIULFzJx4kTy8/Opq6vjiy++oKqqiqlTpzJ79uyjPUQNDQ0NjZ8omrDS0NDQ0Pif4fTTT2fjxo189tlnOJ1O9Ho9AwYMYO7cuVx//fWd9qvS0NDQ0NA4EFqNlYaGhoaGhoaGhoaGxmGi1VhpaGhoaGhoaGhoaGgcJpqw0tDQ0NDQ0NDQ0NDQOEw0YaWhoaGhoaGhoaGhoXGYaMJKQ0NDQ0NDQ0NDQ0PjMNGElYaGhoaGhoaGhoaGxmGiCSsNDQ0NDQ0NDQ0NDY3DRBNWGhoaGhoaGhoaGhoah4kmrDQ0NDQ0NDQ0NDQ0NA4TTVhpaGhoaGhoaGhoaGgcJvqjPYAfI7IsU1NTQ3p6OoIgHO3haGhoaPzPoCgKXq+XgoICRFF79xdD+7ukoaGhcfTo6t8mTViloKamhqKioqM9DA0NDY3/WSorK+nRo8fRHsaPBu3vkoaGhsbR50B/mzRhlYL09HRAvXh2u/2Q9rG3qZWXlpfh9IfJshq59OTe9Olm+962/3pXI88s2YPTH8IXjFKck0Y3m4mIrBzS8X9o9ja18tQXu6j3hOhuN/H7U/sf1fG2v/4GUeCkvt04vnfmj+4a7m1qpbolQGGm5YBjO9xn8vums/HFlm+pcVPW5MNs0KEoMCg/nV31XsxGPbKicO2Evsw6Xpt4/tTxeDwUFRXFfw9rqByJv0saP2+ampro27dvwrI9e/bQrVu3ozQiDY2fD13926QJqxTE0izsdvsh/wEbabeTnm6nqiVAj0wLfXO6PoHd09iKK6LnnNH9EAShS9un2YI0hUWcIR0WoxHRlMZpI4vId1gO+vhHmqUlDWyqcjO8h4OJA3NTruOqDeKW9ET1AkZLGunpduz2H37MS0saWFrSiDsQoT4o0i3dzvI9TdT4m9nVInH1ePt+r+WexlYqnX6Ksqzf+zXf09jKf9Y30ewLk53mSzm2PY2trCltBgRAweFw0KfQyLRh+Uf1mUiFqzZIq2JkRHE22+u8uKMG7HZ7fHl2hoPdLTJeGUQBanxgsqZjMeoISzJWW7o24fwZoaW7JXIk/i5p/LwJhUJJy9LTtd+LGhpHkgP9bdKE1feMoihdXjc2Cf56VxMRSSE7zcjV4/t0eQKc77AgCOANRtGJMKp31lGfPC8taeDOxVvwBCPYzQbumzk0Lq5igisn3cgnW+ooawqQk27EFYhQ1RL4wce+tKSBO9/ZQmNrCEEAm1HHxohEMKJg1IWocPr3O649ja08v2xvm9A5uHt3KIKs0umnwumnm82Ycmx7Glt59NMSNlS5CEYk/GEJEbCa9HSzGY/6s9GRoiwr2WlGttd5yU4z0iPTkrB8T2NrfF1ZAV9EJsNsIBiV6JFpYVTvrKM1dA0NDQ0NDQ0NTVh9XxzsJDs2Cd5c7cYbjDB+QA7NvnCXBUZRlpV8h5lqVwC9KBKMyFQ6/Ud98ry0pIEGTxC9KNDgCbJsZyNFWVY+3FTD/G/K8IclTAaRHpkWctONNHjD5KSb4pPqH5JNVW68wShGnUAoIreJERkFqPOE6ZYe2e+4Kp1+mn1hBuWls73O2+V7d6iCrNYdYG9jKztqZTKsxiQRX+n0U+sJYtaLOH1hghEZEQhEw/xz6V5AYHTx0RffMfrm2Lh6fJ+UUd4RRQ7CUZl6VwBfRAagNRAhEIpi0IvUukOH/bx/n9HGHzKSqaGhoaGhoXF00CyXvifaT7JjAml/rClt5ttyJ03eIO5AlCUlDRh0QpcFRt8cG+MG5NDNZqSbzUidO8T85aUJb/mPDgKSrBCMykiygssf4flle3l5ZTktgQghScYTjOIORHBYjQwuSOfyk4uPyuRzeA8HZoNIa0giLCsEIqqoAlAAvSjsd1y17gC1rgDf7G5KiLgciIN5VvY0tralKzbwyZY6wlEZm0lHhtWQFJ4uyrKSbzfjCkQItokRGVAUqPcGeWVlGc8v2/sjeEb20TfHxoQBOfHrHBOdX+5oZGe9h4is3hEBMOhFJAUKHGZCEZkt1e74NktLGg7qvGLHWbC64ohfk9hLkye+2MWjn5b8qK53VziU66mhofHD43A4WLJkScI/h8NxtId1UHz66acIghD/ZzAY6NevH3fffTfhcPhoD6/LhEIhbrnlFgoKCrBYLJx44ol8/vnnh7Sv+++/H0EQGDp0aMLypUuXJlyr9v9WrVqVsG51dTXTp0/HbrczePBg3n///aTjvP322+Tm5uJ2uzsdiyzL5OTk8H//93+HdC7/C2gRq++JztKaOkcgHJUJSwoK4A9JRKLyQQmM0cVZfLKllm01XnLSjUQk5aik1LVnYJ4tXgMjCgIIUFLnJRSREtbLTTdx9sgCGjwhat1B9jS2/uDjnjgwl7H9snlvQw2yAlKHLM4Gb6jTcS0taeD5ZaW0+MOY9CKzT+jR5fF39VlpH9kKRyU8gSj5DjMN3jDpZn3Sdn1zbNxw5kB+/9o6nL5IwmcRScEbjHQpvfFoRlpiotOiF9lW60Vud09EwKgXaWoNk2E1MrTQccjRvzWlTnbWexlSYKfOEzqi35sPN9WyurQZi1FPvSfI2jLnTyZqdTjprRoaGj8sRqORiRMnHu1hHBYbN24E4LHHHiMnJwe/38+bb77JPffcQygUYt68eUd5hF3jsssuY9GiRVx//fX079+fF198kWnTprFkyRJOOeWULu+nqqqKBx54gLS0tE7XmTt3LqNGjUpY1q9fv4SfL730Uqqrq3nooYdYvnw5s2fPZseOHfTu3RuAYDDIjTfeyH333bdfMb5mzRqampqYPn16l8/hfw1NWH1P9M2xMWVoHpur3QwrdBxwMjK6OIucdBOuQBRQJ/VLSxr4+xc7mXvqgC4f9/hemdS4Ajh9YURBOKgar++LqKwQjioIgsKqPU00+cKEo/vGJQK9u6Xx1rpKypsDGHQCI4oyuOGMgT/oJG5PYytbqt1JggpUs4RgROp0UhxLIyzMMFPpDLKrvutv9/eXAtd+bB9uqqXC6eeEXpl8W96C3aLHE4A8h4kpQ/NSblfp9FPlTIyACYBBJ9DgDZPXZm6Sih/DpDomOv+7rS5BVOlFmDIsn17ZVsqb/ZzQO5OJA3NZWtJAsy9MXrqJLbWeLomYPY2tfL2zkTpPkHpPkBFFGV2ONh7ImCW2b28wijcYwaTX0+gNxT/7sacHthe2a8ucFGZauG5y/6M9LA0NjZ8pmzZtwmw2M3fuXHQ6HaCKlF69evH666//JITVmjVr+M9//sPDDz/MjTfeCMCcOXMYOnQoN998MytWrOjyvm688UbGjBmDJEk0NTWlXGfcuHHMmjWr030EAgG+/PJLli5dyvjx47n22mtZsWIFn376Kb/+9a8BeOSRR3A4HFx11VX7Hc9HH31Er169GDJkSJfPIRU+n2+/YvGnjJYK+D2xp7GVT7bUsanKzSdb6g4pjSYiw9vfVXdp29gkeMmORipbAjS1htjd0HrU0wEbvWFEQCeqKWh17lCCqEoziPTOSWN3Qys763z4w6qwrHMHD5g+2RmHmrpU6fTT0iGyA2oKYKbVgNmg63Tb4T0cmPQiuxp8RGSZPY2tB3X8jilw7Ynd21V7m6lzB/m2vIWeWVamDM3DbtGjF0UWrC7nqpfW8vcvdiUcd2lJA/5wYnRQJwpYjTpsJh3jOzkm7DPHsBjEeGTrh6D9/Yu9oBDFxDTHXLuZGSMK2FHrZW+Tj693NrGnsZWiLCsGUeCLttq+ZTsbD3gfKp1+IrLCqQNzybWb93tN2rO0pIF739/GKyvLuff9bSwtaUi576isYBAFwhL4w1He31DNwjXl31vq4eHSPt10U5WLsqZWPtlaR0Wzn1dXlac8Tw0NDY0jwcaNGxkyZEhcVIEaiSsoKNhvitqPiUWLFqHT6bjmmmviy8xmM1deeSUrV66ksrKyS/tZtmwZixYt4vHHHz/gul6vl2g0mvKzYDCIoihkZmYCqqtdRkYGfr8fUNMEH3zwQZ544okDNmX/8MMPmT59OkuWLEEQBN55552kdV577TUEQWDlypUA3H333QiCwLZt27jooovIzMw8qKjdTw1NWH1PHGyNlRqNSF5HJwpdmtDGUplkRSESldGJarSquiXwg02IUzG8hwOrUYeklvggd/g8LMuEwhIufwSrSSQclQlGZGxmPTWuwEFPONvXyjz6aQkL11Qc1D5C0Y4jVJ0dw5JMv1xbp85zEwfmcsGoIooyLZw2KBejXpfyuh+K6Gvv/mfSi+Q7zEwZmgcINHpDVDl9bKn28sX2Bp5espt7398a3787EE2KwAlAmknPiX2ymTYsf7/HrnD6WbqzkQqn/weJfqpiZSvPLdsbv3+bqtykmw1YDCICYDPpuHBUEe9uqGb5niYavSE2VLni0alj8u1YDDqO75UZT4fdH7GoWJ03xMDu6V12F4xFKXtnW/AGo/Ear4771usEIoqCgOpmuKfJx5Nf7GJjlYs8u6lLvx9+KGLfn+eW7eXOd7bw6qoKKlv8RCQFo17E5Y+wbGfj0R6mhobGz5BwOExJSQkjRoxIWF5TU8O2bduS0t0OhUgkQlNTU5f+yXLyfKArrF+/ngEDBiTZ3I8ePRqADRs2HHAfkiRx3XXXcdVVVzFs2LD9rnv55Zdjt9sxm81MmjSJb7/9NuHzzMxM+vbtywMPPEBpaSkLFixgw4YN8fHcfPPNTJ06lfHjx+/3OHV1daxfv55p06YxceJEioqKWLBgQdJ6CxYsoG/fvpx00kkJy2fPno3f7+eBBx7g6quvPuA1+KmipQJ+T8Qma9+Wt2DQHTglz+kLIysKOpG4CDHpRbLSDAdMS2qfyuQJRJAUkKLqRM5s0B0Vh70YEwfmMm5ADu+ur0EG9II6uVTNINQoVmNrEElWz9dq1DEwz4YAfLmjgY2VroNKQYuJELNeZGOlhzpP8KD2kWM34W9KFiOyrHDCAezrpw/Pp8YViKfOdbzuS0samL+8lIik0DPLelDnVecOsr3WQ1SSsRh1vLG2ktZwlGpXAHdb+qgCRGU5QUzvqvcm7McggskgYtaLHJO3/94mte4gkaiMRS8SicrUeYJdGuuhsqexlX8s2c3Oei8Wg0ggIlNS7yUUkQm3nXdRlpWzhufzbXkLa0udBCMyoYhEmklPSZ2XpSUN7Kj14A1GWb67maGFdnpkWvabdteVVMxUDO/hIN2sp6w5QLpZz9DC1HnpgUgUSVbiRiiSrEZu3YEoztYwx/fOPKrf0fbEvj+yLOMKhLGZ9Jj0OkKRKBFJQq/ToaA+yz/mFEYNjf8Fet/6YZfWK3vwp1EPs23bNiKRCMXFxTQ1NRGJRNi0aRO33HILOp2O++6777CPsXz5ciZNmtSldUtLS+M1SAdDbW0t+fnJLy1jy2pqag64j2effZby8nL++9//drqO0Wjk/PPPZ9q0aXTr1o1t27bxyCOPMG7cOFasWMGxxx4bX/e5555j1qxZ/Oc//wHg+uuv5+STT2bFihW88847bN++/YBj+uijjzCbzUyePBlBELjkkkt47LHHcLvd8bqsxsZGPvvsM+64446k7UeMGMFrr712wOP81NGE1fdELIVp/vJSPIEo85eXAnTaIHfiwBw+3lJLiz+EAFgMOox6HVbjgW9RLJXphJ6ZfLG9Pr5ciP/P0WNpSQNLdjTGI1VRBUx60AlqsDQsyRh1Iq2SjKwoSLJCaZMPWYYzhnQ/JCOBOneQ5tYwoaiEoZuVCqeftWXOlBPr9r20AHpkWnD5w7h9EWIJdIqimj1sqnKxcE3Ffi3KCzLMWIy6pLS+PY1qWuaGChdGvYDLvy9K0ZU6mzyHmdx0I9tqvUiSzOZqN+lmPYPy0llb1hIXq6IgUJip1k1VOv00tYbQtYlZARBFkUyrgWZfmNdWl/PBxhouP6U3vxzdK8VRFXQ6AbNeRzBFJO9w6Sh21pQ6KW/2EYnKcbEYikjodSJDCuw0tYaZMaKAbjYTGytdhNpcG8NRBYtRNUXZ29iKJxDFrBdp8oVo9oWpdPr5ZEvdfmvF+ubY6Jtji0cUuyIaYt/lLdVusm3G+Dm13+7DTbXsbvDFX5bEkAFZkQlGJbrbzVQ6/fFxHG3q3EFa/GGikoI3EAHU1FG7xUCPTDP1niALVldoZhYaGj8yFEVGDiS+TBMt6UdpNAfPpk2bAPjzn//Mn//85/jyiRMn8s033zBy5Mj9bn/WWWdx0UUXcdFFF3W6zogRI7rszpeXl9el9ToSCAQwmUxJy81mc/zz/dHc3Mxf/vIX/vznP5OTk9PpemPHjmXs2LHxn88++2xmzZrF8OHDue222/jkk0/in02ePJmKigq2bt1KQUEBRUVFyLLM3LlzueGGG+jVqxfPPPMMTzzxBIqi8Mc//pFrr7024XgfffQRkyZNwmJRXwTOmTOHefPmsWjRIq688koAXn/9daLRKJdccknSeDvu7+eKJqy+J/Y0trKpyo0nECUcldhWE2D+8tJOJ2xFWVYG5qVT1igSlWUsRj1j+2Z3SVjEomMbq1zIqPmdsXlcICwdVWfATVVughEJAeJv7C16XVsvIgVZBn9YRkCdIIckVc5EJIV15S0M79F1I4EYeQ4zehH2NPrYUOnCZtLz6soIdosBvSjQJ8fGwDwbJXVePthUSyQqE4rKZFqN9MgyM3FALktKGmgNRojKYDIIhKMK3+xqYlOlm+N7ZyYZa7RvxisA9Z5gwr2udPpp8ITwRyQ8QYXWkMTGyhY+3lx7QHOIoiwrPbOslNR5CUsyW2s9iIJAIKLHE9STZtIDCoIgMKTAHrer/3BTDY3eUDz6pteBUSfg9IUJRWRkVKfDRz/bSb7DkiT6RxdnM7JHE7WeIMfYzUe0AW8seucJRLFb9Fx+cjGgoNeJ6NrVUwWjCkQldtR5sZn0bK/17Iu0tT1Uep1AulltelzpDOALRaj3hjCI0OgJ8dXOxi71FzsUs46iLCu17gCfbKnDG4yS5zAnPBtOXxhJUhK+kzHCEkiyxLdlTqpaAj8aoZLnMNM728qaMiehqISigM2kRs7H9c9h1d7mTptSa2hoHD3kgJeqJy9OWNbjuuRUrR8rMUfADz/8EKPRSH19PfPmzWPdunVdso3fvn17kiV5RzIzMznttNMOe6zhcBin05mwLCcnB51Oh8ViIRQKJW0TDKpZHzFh0hl33nknWVlZXHfddQc9rn79+nHOOefw9ttvI0lSQq2azWbjxBNPjP88f/586urquPXWW/nvf//LTTfdxKuvvoogCFx00UUMHDgwHt2LRCJ8/vnnCeYhxxxzDKNGjWLBggVxYbVgwQLGjBmT5EoIUFxcfNDn81NEE1bfA7EJWoXTT607QDgqk+cw79f+vNLpJyoppJv11LiDyEqUPY0+emZZDygsYtGxLTUuJEVBRp1z6nQCWQfRT+n7YHgPBw6LgXrvvl8yrqAqniwGAUVWMOhFFEVpEwsy4agMAgzKtx/0RLMoy4peFCht8sVTIiPRSFw41XuCrCptbkvNFIhKbbUvqGKoJRDGoNMhyYoa2WmNEJYUJAWCERlZDlOSYnIea8YroorCsiZfwjqxWhtFAatBREGNdCgIB5zwx1LVXl1Vzu4GL4osgKAQCEkEQhJhSY475q0rd3LzIh+XjOlJaZMfURAw6wV8ERlFEdCJAq0BKS5yRVS3wy3V7iRhFbNrP9gUuQMRi95tqnLH7/v85aVcfnIxI3tksHJvM7DPcEMErEY9k4/Jpc4TItduon+ujY2VLnQCGESBZl+Yr3Y2kp1mYkSRQ3WyM+qRFYWsNCOBsMT2Oi8GUYjX7nU8n4Nt8BwT02vKnLT4I2RYku3UJw7M4f2N1TSnMEWJpQfWuYOMLMo44jbvh0JRlpUMi4HN1W5Cbb3PVGGuRpMFQR3vrvpW0s36H4XrqIaGxs+DTZs20atXL6ZNmxZfdtxxxzF48GCefvppHn744U63DQaDVFVVccwxx+z3GKkEUWfEhFIqVqxYkZRSGEsdzM/Pp7q6Ommb2tpaAAoKCjo95q5du3juued4/PHHE1IGg8EgkUiEsrIy7HY7WVmdv+gsKioiHA7j8/mS6rxieDwe7rjjDh555BHS0tJYuHAhs2bNYubMmQDMmjWLBQsWxM/xm2++wePxJNwbUKNWf/jDH6iqqiIUCrFq1SqeeuqplMc8kKD8uXBI5hWxh0MjNe3NBvSiiF6nTqT3J5KKsqxxC+ysNCNWk55j8tK7LCxq3QEaPKH4DTXqBQbmpfO7Sf2O6kRt4sBcHpo1nMH56Rh0Aib9vmhEIKIQVSAUkYnI+wShUS9iNujo3S3toMfeN8dGnw7byIBOgDpPgLCkEJUUIpIqgBT2RRJkVPHU0hrCH47S2BqJRwBBjbiFJQV3IJI0oSzKspJu0tPsC9PiD1PjDrJkR33cRKJvjo3TB3fHalTT6kJRmS3VHsJRqUu9zvrm2BjQXe0JphMFIpKaRhmVFaKyOvmVFAhF1SjUP5bsBhTMbbVK6gkouAJR2o9cBsx6UTVVSGGosT+3wkOl0qmaIaSb9PjDEjaTjoikRtwuGFWE3Zz4vkdBfZ5j1yvPbmb8gFzyMyz06ZZGWFIIhtW+b4IAGVYjQwod5KSbGNkjg2nD8rl6fB9OHZQLglq7l8qJ72B7z60pbWZVaTPNrWEkWcHpi+AJROJ26qA+/5eOLSbHZkSfIi1XBlyBCJ9trT+ohuBHkj2NrSxcU87CNRVUOv34wlFaQ2pdWFRWU2H9YaktKmjCYTFQ4DAjwPded6ehofG/w6ZNm5KMGgYNGsQJJ5zAW2+9lbA8Go1y2223kZmZSb9+/Xjttdfo27cvRqNxv8dYsWIF+fn5Xfq3P/e+WEph+3+x1MGRI0eyc+dOPB5PwjarV6+Of94Z1dXV8RS94uLi+L/Vq1ezc+dOiouLuffee/d7jnv37sVsNmOzdf53+95776W4uJiLL1YjnDU1NQmCr6CgIEEcfvjhhwwePDip5uwXv/gFOp2OhQsXsmDBAgwGAxdeeOF+x/dz55AiVkVFRUyePJlf/epXnHfeeT9bL/rDoc4dZH1FC8GIjMkgIgowoqjzflZ9c2xcfnIx/1iyK97L6eAmLWq6mqKAUQd2s4Ezh+QxcWDuUe+XE4uE3PjGRlr8qv26wr7UQLntf/LsRnyhKJGojCzDwjUV7G1sZXRx9n7rmpKPl8Ob31YSaWczHpbUyAgoCf2QOiIAZpMOs0GHUSfQGpYwCAIKMlEZjKLazFgQEmfJfXNsTB2WT7UrgNMXwhuMsHh9NQ3eEDecMRCAGlcQq1GHJ6jWD9W6gwgCXHdqf0YdwBgjJgJ6ZlspqfUioNrxQ+qTibSd79Xj+/DSijK1ZilFdMGoF8hKM7G52k2NK5BSyB+oV9PBEouK1OlF7GYD3dLN9MyyUuPy88baqiSHPJ0I4YhMrTtAKGrkH0t2AWp/tBq3aiNrMegIRCScvjAbKly0hiLkpJsZN6Bb/HzWlDqpcwf32wR4RJEDQRAOeD9AbSXgC+2L/ilAKCrx6dY6FEU1M+mbY2P68HyW7WygsTWctA8BsJv1pJv1XbZ57ypd+d7vaWzlnve3sr68BVlR6JZuwu2P4AtF4y8cbEYd6WY9fXJsNHqDVDh9eAJRdKLAx5tr49fqaP+e0dDQ+OlSV1dHQ0NDylS+M888k/vvv5/t27czaNAgAG655Ra2b99OaWkpXq+XsWPHJrnQpeJI1VjtL6Vw1qxZPPLIIzz33HPxPlahUIj58+dz4oknUlRUBIDf76eiooJu3brRrVs3AIYOHZrSwvzOO+/E6/XyxBNP0LdvX0A1iuhYg7Vx40bee+89pk6d2ql1+s6dO3nqqadYtmxZfC7TvXt3duzYEV9n+/btCef/0UcfcdZZZyXtq1u3bkydOpVXX32VYDDIlClT4ufyv8ohCat7772X1157jUsvvZTf/OY3zJw5k0suuYQzzjjjgB74/yuY9CLRtohIJCoTiEg0p5hYtWfiwFxq3UHe/LZyv5O/VOQ7zJgMIq0hVTjICmyv9bC0pOGAhfsxvu+JUZpJhzckohdApxPxhRLd91pDUXLTTdS0BAhEJHwuiXfW1/Df7fWM658TFygHGmNRlpWCDDO7GnzxZTpBwGbS0dwWhRLY5+sRE3kiYLfoKc62sbu+ldaQhEEUcFgN1LrVKERYVutmUqVA5TvM6ATwBKLICvhC0XjaoKIoNPvCdE83UecJxY9b5wnR6A0dUFTFan8ERSDTakSni+L2RzqRVWoD4BN6Z5LvsDAwz06DJ0iF009Hu0MBaPaFObFPVsrnLdaryRuMkt4WSToS4soXjiIAmWkGzHod5c0+3t9YjS+cbJIhCgK9sq2U1LfSGopS3RJErxMY0cPBpioXoahMKCqhEwVsJj3NrSGqXAFKm3zsbHNFzHdYWLC6nLImH3sbfQwvciREh9qn7xp0Anl28wHvybdlTqQOrhRhCXbUeiht8PHZtjpuPGMgEwfmUpSVxqZqN1JUoX1XMQU1JXBAXjqKovD3L3YdEQHb1XqxNaVOvitvoTWkjsrXHEiohwTwhSUisswbayvQiSK+cBSxbdw7672sLVPTao52M2kNDY2fLrH6qlTW4meccQb3338/H374IYMGDaKmpobnn3+e3bt3k5GRQUZGBmPHju1S09ojVWO1P0488URmz57NbbfdRkNDA/369eOll16irKyMf//73/H11qxZw6RJk7jrrru4++67AVWoxNLx2hPrZdX+swsvvBCLxcLYsWPJzc1l27ZtPPfcc1itVh588MFOx/fHP/6RCy+8MG63DqoYPOecc7j99tsBeP/99/nggw8ANcVx+/btPPPMMyn3N2fOnHiD4r/+9a8HvD4/dw5JWN1+++3cfvvtrF+/ngULFvCf//yH1157jdzcXH75y19y8cUXc8IJJxzpsf5kKMqytqXR7OtdIwoCchcmTqOLs9hY6WJPo69LNu0xat1BstOMZFoMVLkCjChy4PJHeG9jDXXuICf0yjzihftdYU9jK2tKm1mwuoI6TwidoCCKOvLsJtxBHQ2eUHwSZ9SpUTeZxEJ/b1CipE6dwG2ocB1wjJVOPzazgTSD2GaSAa1hidawhAgIgvoWXicKGPWiWjulKGRajTisBhTUe+gwG3AFIngCYQRhX0qgJCtJ0cRYQ+hARI5rl0g7ERZLM2vyhhKMDEQByhp9+3Wia28h3+wPqwLavR9RJcK0Yfn8cnQv9jS20jPLCoDZKNLgCePyq2OKymDSifhCEb7a2cjQQkcKi/hGGrzqs+Xyh1PWYh0sa0qd7G5oJSLJNHnD7G30JdnbxzDpBXplpSGKIia9SGswSrd0Iy3+MBurXOo6BhG7WY8kq26aVS2BuDJw+SPM/6YUo0FHSZ0XWVYQBJkWX+JLjg831bJ8dxOCAIGwnGQ00/GlQ6XTjzcUJd1ioMWfWD8VlVVTipI6L498VsKmKje7GjwIalkfoqI+gygg6qA4J41j8tJ5flnpERGwexpb2/ri+Q/4vVcjuEqHJR3XgFBUIdQucTYmDhu9Yd5aV8nqvU42VrnIsRmpavEn1JlpaGhoHIiYI2CqiNVJJ51Eeno6H330ETfeeCNffPEFo0aNIjd33+/IxsbGAxpX/JC8/PLL/PnPf+aVV16hpaWF4cOH88EHHxywV9TBMHPmTBYsWMBjjz2Gx+MhJyeH8847j7vuuiuleQSokadly5axc+fOhOVnnXUW999/P08++SSKojBv3jymTp0a38bhcHDyySen3OeMGTPIzMxElmXOPvvsI3Z+P1UOy7zi2GOP5dhjj+Xhhx/myy+/5LXXXmP+/Pn8/e9/Z+DAgVxyySVccskl9OzZ80iN9yeD3arHqBOQZAWrSc/xvTJ5eUUZwahMmlHPxWN6xVOF2tPepj0iKXyype6AEaRYHytXQE3hEQWBsmY/KKoroDsQ4dvylv3WeMUaDB9spGx/xMRaSb2XKqcfQVAnnYIgo9eJnNg7i8+31RFum1UHIzKBcIhU6W2SrKY5dsVcoCjLik5kX21RO2LZcyaDjogk4wtJCIIaYZRlmdJGH1XOADaz2r9HrxMwG/VY9BF8ETkulJftbExIF4sZH/TPtVHrDqAoanPnrDQjgiDEDSg+2lxLvSdAnTuEIKppYE2+0AHtqyua/TS2htCJArk2IzpRRFbkpLRGATDodTh94bhBQ+y4y3Y2kp0GsqxGUKWI+v+yAm5/hAZvslj8tqwZf0jCFwpgMerituKHR1skV1JFtEFICqQhAHkOE8cWZXLBqCIEQaDGpdqmewJRorKMPySRaTVQ1uynPhxCJ6jugIWZZsqa/EiKglkn4A1FIRhFLwoEZQU9Cv52bplLSxp4eUUpzT5VrNpNqjiLiYOYSUWtJ0i+3cwNZw6M19S1hpJNKdQzBEVWKG30sXBNOS3+CEa9iCJJ2EwG/GFJNWlBoKYlyFvfVdPcGqI420qd59AFbPvIW507GP/eK4qSUryPLs5mcL6d78pdSa6FB0JA7e+2pdrDjlovvpBEWaMPo15MSBHU0NDQOBA33XQTN910U8rPDAZDQr1SU1NTQrpZXV0dK1as4Nlnn/3ex9lVzGYzDz/88H4NNyZOnNjll+dLly5NWjZ37lzmzp17UOOaNm0aXq835We33nort956a9LyDz/8kDPOOAO9PrVkEEURvV7PjBkz4pby7bn77rvjEbn/BY5I3p4gCIwbN45p06YxZswYFEVh165d3H333fTp04fZs2f/TxleVDr9ZFpNnDkkj/wMCyf2yWJ3fSvNvgjBiESDN8SidZVJBfSxHjq17iBGvY4TemXS7Asn1ZykOl5EVjgmNx1/WCIQjlLnCiAIMK5/N/IcZsb2ze500t6+wfCXOxqOWBF9TGwMzbe39RtSTSp0okCaScc3e5qIyiCK6kTUG1JTjkRBJMOsRxRoc32DScfkMro4q8vmAsE2C/fO8IeihNqEhYCC2x+h2h3CF5bwBCJEJZmoLKMXRUIRGYNexCiq5hsjetjjDo8xYhGpFn8Em0mP1agj02pkYF56fJyVTj+fba0jGJEpzLRQkGFhwsBcjHodg/LS93uv0y1qHY5OUM0popIcL5mKpTXGXMolSabBq4rjWMRw2c5GyppUcWsx6tGJInpRINJmfBGMSGyr9vDR5n3f0zWlzdS4g+j16i8KvSjQdIB01q6g2rhnkJlmxKgXSKF/0evUtL5j8u0Utb0QyHdYmDI0j4gs0ehRe1TtafSpJiQKyIpCozfMsMIMZowooGemFYtRdXiUAUVpWw8IReX4H7R3N9TQ5NsXAfSEJKpbAny8uTZ+/TZUuXD7w2yocsUF19Rh+eTbLRg6+S2qmolIuP3htpcGEuEoeAIRVVQp6nX1h6PUuPwEwhI761sxGcROmw0fiNh37oRemfHv/ZSheXyypY4FqyuSfuf0zbExfkBOp9HPVKjPAvH4VSAiIwiq46QoCpgNYlyYamhoaBxpBg4cyNKlS6msrKSxsZFLL70UQRA6jdJoHB4TJ07kj3/8Y6efL168mMbGRubMmfMDjurHy2HbrS9ZsoQFCxbw1ltv4fF4GDZsGI888ggXX3wxer2e+fPn88ADD/CrX/1qvx2kf07EJtlqvYY6yWjyhRBjERuIN2mNvTVvn4pnEAUMOqHL7mSx4y3f3URUUtCJ4I/INHpD8TfWU4clR8ditG8wvLXWw6B8+wHfNHelHis2rj1NPuS2iJOC6gKYYTWSZ5fQEaSxnRV1RFIw6wUKMi1khKK4g1G62YxkWo2sKXUyZWgegqCmSHbWVFUVBAFEESR539uD9vN3f7vZvDeUOLOXgYgkI8kKaUYBQVDNQOxm1TZ+Y5WHE/tkJdyXWKSx1h0g32FBkmVO7t+NS8b0jt/ff3y5m71NPkTUyXXPbCujemeysdIdtwLfWOmixhVIMOsoyrKSYzOxu96bIELa14iB6k0hoE7oW3xhalx+Pt5cy8YqF7WuIHaLnqqWAJKsEI5KRGTa1dOoqYGJKXICelFARCDcFuV5fW0lwwoPrwaovY37KyvLWFLSkNBANyYUK5r9vPltJR9srMZhNZJhNeLyh6h0BpHaRFLs/CVFPf9AOMqOOg/De2Rw3vE9WFrSwJACO9+WteANRBBRMOjU1MFY0W6dO1nMGnQC3mC0TegK6nVSEvttjy7O4uPNaVS7UothnYDap60trBhtG2+s17IIhKR9vdsMIuh1IqcP7n7I17e9s2Hse9/epTRV76lNVe5OhZW+7WbExqxGRAXkdqFSAfX7AmrqczAi0xqMJkV1NTQ0NI4EU6ZMYerUqQwZMoQePXowefJkGhsbtRr/74mbb7455fLVq1ezadMm/vrXv3LssccyYcKEH3hkP04OSVht3LiRBQsWsHDhQmpqasjLy+Oqq65izpw5SYWHN954I2azOe6M8r9A+/SrlXua6dstjebWEJKsEIrIiCLUuUMUZloTohnt09xOHZRLvsPSpf5BseM1+0LUuAPIijqpc1gMjO2bvV9RBW1W76LAtxUtCKimF6n6/MToaj1W++uwt7EVf5tLX1RREBQY3iODL7bVJWxj1AkEIlEqm/0IojphrmwJ8NKKUswGHSOKMrjghKL9GnI0esP4Q9H4ZFAnqhGQQKTr7+UdZgOVTj+hqIxBFCjMtFLnUV39rEZdpw5unkBUtasORtnbuM88Y01pM+VOVVQFIhJWox6DTmRjpZsRRQ521reytqyZ5XuaEIARRRn8ZcYQ+ubY6Jtj44TeWaza20z7NMlUZyMAOelGLAY972+sxeUPx81T1L5Jau0fJDaSjsiq7Xr/7u3TxLI4oXcWa0udRP0RirtZcfmjR6TOCqDG5aei2YfcMWIlqOcRlRVqXQEkBUTRxwm9MqlzhwhHo6pQR61VMoggSep/Gw0i/XJtlNR7Kcy0MKB7OnWeEHqdgEEnxl0ZdeK+qGyeI/nFhS8sEZYkemSq38ERRRnUuYPkOfY1So5FrXbWe2nyhuLCKYasJDcFTvicRHEclUHfphb3V3O3P2Lfufa9xyrb0gJT9Z7a09hKebMv5b5E1HTWY/LtlNR5iEpt7RE6nKgCWIw6bEbVLVOvE7rc3FxDQ0PjYBFFkRdffJEXX3zxaA/lf5pnnnmGV199lZEjR2r3oh2HJKyOPfZYLBYLM2fOZM6cOZx++un7fVMwZMiQLtlg/pzom2Nj2rB8qlsC1HlDHJNnp9zpp7k1RKbFgM1iSJicd+yhcyhveg2iiM2kxxdSewMV56SRbTNR6fTvN7rUN8emTp7aaqwCEXm/E6IDvQFPdR2+KmmgyRtCUsAoCrQEwgztkUG3dFNixKrNNS3c9hY/y6rHFZLUhseiQEmdl692Nu631ion3YTZoEeSI0hyW/+pjrPe/V5HyMuw0OQL081mpDUkkWMzUtnixx+S1XTOFFb4te4AZc0+vIEIep1AaaOvXRG/OrE3WMT4GE/p141vy1vUHmTeELvrvWqtkQIbK13JBgD7yW0UUMW0TicQCEs0ecNUOtUJs8mgo0emBV84ii8YRSeo7oZC27lGZFV42i36BBv5vjk2bjhjIK+uKmfxd9XUuoNkWI2HnKYWIybM15Y6KW/2JQlEo05ALwhEpH0OepIM35W3oBcFwpLqfGnUgc1kwBtU0/h0ghpb+nJHA3pR5FOplv65dob3cDD5mByeX1ZKi1/tE3f64O7xiOc5Iwv4emcDTe2eQ0WB6pYga0qbyXdYuOAEtc6r44uOfIcZq1GPKIaTCsXiBiWoaZomgw5QCEUVDDqhLcqzLxqkoKbVvb+xhpK2iNOhmMjExHh78hxmhhUaaWwNU+cJxoVbpdOPrIBBB1FJHYNBFFCAwgwzdZ4QLb4wNpMBpy85DVSHamThCUSxGXVYjXr0OqHLzc01NDQ0NH6aaOI2NYckrF544QVmzZq13+Zj7Zk0aVJSh+r/Bdq/Pa5xBXh/Yw0GUaDRGyYvY9+b747rdiVK1ZFYOt/Zwwv4tqKFwXl2mnwhXllZRrMvTJpJT7bVyO8m90uKNuxpbGVHrQdvMMry3c0MLbTvd0JU6w6wt7GVHbVqSl9Xii9z7WZy7CY8wShDC9KpbFEndzpRbHM/VGtgDHoROSLHJ9tOv9rzKRCRCUbC+EJRlmyvx2Y24AtFU07eRhdnMbzIwfryFsJRGbtFT1NrapOBjugEGJhnZ0yfLDZUuGjwhjHqRCwmPTpRQNEJhKIyH2ysZfrwggTXuE+21Kk9uNre6td7gvEi/tHFWfTLtbG30Ud2mhGLQce35S1tE2yFfLuZXXVeiDnGdcDpC6MTBESUpCiIw6In0la/JslqE+D2GGQFh8VAVpqB8uYARp2AKxDBpBdxtznahaMKTd4QT36xi9V7mynuZiMn3QQorC1rJhSVEASBPIeJojaXwUMlJsw9gXBSlEcvCowsyqCpNUx1i59ghxUkZZ89fkQCsc3Z0SIKiIJAICKp6bA6ia3VEfY0+Mi2mbhv5lD+MmMwW6rdZNuMbKx0s7l6n2HIDWcO5KkvdlHt3meF7w1GmP9NGb26pcXXA1i4phwQGF2sfn/zHGYURaG02Z/yfBUgO83I9WcMoKk1zKdb66hxBZCDCpE259A2w0AEQW3Gm2MzJqQKHwqxdF1Qm5M3+8JkWAws29lIRFLITjMyZWgemVYDFc37IqBmg0hEUnAFImRYDAzMT6esyZdSWMWEb1RWqGgJYjdH6JujNgOfMjRPi1ZpaGhoaPxPcUjC6rLLLjvCw/j5Ent7HDOI2N3QiiCodQiVTn/CxCPVm+auUpRlxaAT2FrrobhbGr26pbGqtBlfKIorEMWoC1PdEuAfS3YnRa7WlDrZUe9FUWRCURl/ONrpcWICIhyVsZl0ZFgNSc1yO1Lp9BORFE47pjtflDTQ1BpBAIYU2NnT6GNgXjrBsERGmoFGT4hy576aFZNOQEYh0vY2PRCWKXcGMBtC9Mu1pZy89c2xccXJxbyXZmJLtQt3sIPQaEsxTDfp8IYkFEWNKEhtTn4WowgImI0iJkVUJ7uhKP6QFBc1tZ5AQkQpdo5ZaUb8kQAGUcBm1seL+Ef1zkJR1Ml6MCJj8IWxWwycPrg7wYhMhdNPdrqJ1kAEBOjf3RYX3ktLGvh4cy3BdoKz/bk4zAZANUFw+pMFZJpRz+Rjchla6OCNtZXUeoIM75FBrt3MW+sqCUbUequoAtWuIO+sr8GkU8cvKeANqBEhg07AH5IOO72rKMtKRJLjjZLbIwrgDUYRBVCUDh2VBKFtuZreKcuQnWagUVHwBdXeYQoKRr1IOKpeK0VRBeOynY1cPKYXoNYUdXTAzHdYsFuN1Hv2pfTJCgSjEoPy0vl6VxMPfrwdlz9MtSsYT9e84IQiemZZCYQlLO4AgRSRUQVo8odp9IaYe+oAutlMvPltJQadwLrylgRxqRcF7GY9ja3hw4r4LC1pYP7yUjyBKHaL6kpamGlBUWBztTse7a3zBMm1m7GZ99nG+8ISPTMtHN8riyZfiKbWME5fmMw0Ay5fBAk1wpVuMuDyRxKEfkRSGFqoXtcD/V7Q0NDQ0ND4uXFIwurll1/e7+eCIGA2m+nRowfHHXccJpPpkAb3U6b92+Jat1oAf0y+nbJmH+GoTJ07lNQr57Bpe5sfm4tGJBl/KNr23woWg4AvFE2YGO9pbOXjzbVUOf1EZQWrUYck0+nkOSYg8h1mGrxh0s36Lptr1HlDjOyRwaACO2vLnGyp8ZBvN3PN+D7UeYIoiiryaj01yG31HDJqilKM2CQuFJEpa/KzOUW9T0z81XmC+CMysqyg1wlkWvQ0+yKIokA0quAJSnGjBLlNXOXZTRh0Olr8YSwGHUadiDsYYUNloh11sM0cpP05xibY/nCUUFQVDmFJ5uPNtaqoCqmW31FJJhxVo3CfbKnjD6f1Z+qwfDZWtvDBxhpkBXJs+yxLN1W5CUZkzHohYeKuE8BuMdI7Jw1Q0wc72q8D+CNRhrYZThRlWeNRUYAt1S62VruJdNgw2hb98kekuJNeOKok1CYdLGp/pRo2VbmpbvHHa73ao6DQ1BoiFFWQOhRfGfUiBQ4zja1hguEoiqDm2vftZsPpD5NjM7KzoVU1VlBU5z9QzUcUiNuQ72lsxRuIUFLnZVDBPtfGqCQniByDTkBW4PNt9VS1+NnVoH6PYu6MZU0+BEGNzBRmWhhR5OCjTbU0toaTBLAkw+trK5k+vCDeq25jlQtRUMVUVFawGXUM6+FgQJ6dY/LTD9n4YeGacp5dupdmXwi9qEaDS+q89MmxkWExJBjjKIp6TrnppriwivXdq/UEKW30MSg/nWpRIByVMegFzIKA0aBTxW2HY4uCKhaH98jQ0gA1NDQ0NP7nOOSIVextZMc0sPbLBUHAbrdz2223deoq8nOkfS+ZimY/4TbHrFy7maik0NgaopvNGLfsPhLCak2pkzpPkKFtb+Fz7SYcFgNNXjV9Ry2OV7CadAkTnlij00yrAXdbCtn+xFJMQFQA3dJNXH5ycZfNNapaAizZUc9Hm2pxByJkWA3xuqENFS41PSwYxqwT8UoSurZJJyhIUuIkTkYVDJ9urWNaB3OOmBFIN5uRXfWt9MlJY2Oli9awTLrF0NZ/KBqfSAqojWjzHGYKMtTzmzAgh3pPkDp3EBniKXMx9GLi2/jEtE8/z361hypngFBEZku1hxN6Z5Fu0uMNReOTd4tOdQdcsqOBi07sxbryFlr8UXLSjbgCkfizMbyHg3Sznlq3OgaLHiQEhuQ7uHB0UTyy9eDH2/lmVxOhiJxwrUJROS5AY9dpTWkzjV41RTQn3UytJ0CkvYBV1CtjNerxKVH0KJj0es4YcmjpXXsaW7nnva2s3NsUP06qqsyIpJqPOKwG9G1poaKojsfeNtZT+ufwbZkTSVbISTcxZWgeX+9qos4dpE9OGj0zVaG5udqFNxSlW5oJRVHYWe/FqBPajGTU78TOun3ulia9Dr0oxI0xutlM5NhMWI066j1BCjLM7Kjz4vKH0YsiCAJLdjTQ4A2qqXO+MCaDDptJR2tIShJXctsLiwkDcrh6fB9eXVVOldOPP6wK/EBUYluth3KnnwZvMCFVuKssLWngif/uork1hKyov48zrXrCUZkcm5EKZ4BgJAqCwLBCe7uG5K0J+9nb7GdvW2qj0xdieJGDoqw0dtR6sJv1bKpy0yolW3PIiowoammAGhoaP05eeeUV7r//fvbs2UNaWhoul4uJEycCqXtFtWfp0qVMmjSJJUuWxLf5KfJzOY+ucPfdd3PPPfd0uV/YkeCQhNWGDRu49NJLyc7O5ne/+128d8CuXbv4xz/+gcvl4qmnnqK+vp4nn3yS2267jfT0dH7zm98c0cH/WGk/sd9a7cGgg2BUpqzJF5+QtwYlBuYZOhUwXbEzb79urA9VvSfIiKIMFEUhLCmIooCuzUpbEATq3KGEFMSiLCv5djP1HtWOu1d22n7FUkxArC1zoijq9l0Za98cGx9uquGVleXxGv9wVCLDamRztZsKpx+3P0yDN4zNoiciK5j1IjKgkwX8soSgJCSGoRcEGjyhJJOH9nb36WY94aiCw2pEFMBm0iMATa1SQm2LKAoc3zOLs48tTKhx21ztZm9jK/XuAHJUiR9fFGBtmTPBPTGWyhmrHVMbIiu0BlVBNHVYPk2tag+qvU0+glHVpW/l3mZq3UH0okhuupEGb5icdFP82Zg4MJf7zh3Ka6vKWVXqJBiR1KibLJNnN8dTTQ2iSLrZgEhUjTS1jVUQhLiNeqzZ7YYqF6GIBAgUZphx+sMIitRmZAFmg54hBXZO7JPF17uacPpU04dhh9FfqbTJh5Qi+tiemFNhKCJhNaoRQ1lR0ItqbZtBJzCgezpVLYF4OpvQFpIKRCS8wSiSBO6Aes1DERl/ROK/2xoIS2qaa0xUAfhCqi34+AE52C0GcmxGaj1qJLLWHUSSFS46sSe17iD1njAZFiMWo47CDDN7m/x8vauRYETi+F6ZbHT6CISllKJKJ0CPLEv8nvbNsXHJmF6sLXNSUudFREFqMxQx6kTq3MFDeumyqcpNazCKKApEogrmtnupADvrW9lV740L+7ImHznpJq4e34eRPTP4+393qg6KIoTbXBYFBSRFwReKYjcb6JZuYku1m0CKtFQAg06kxhVgwepygCPiHqmhodE1RKOVbufcmrRMQ2XHjh1cdtllTJkyhVtvvRWrVbs2B0tNTQ3PPfccM2fOZOTIkUd7OD9KDklY/e1vf6N79+588sknCcuHDRvGueeey9SpU/n3v//Nv/71L84++2zGjRvH008/fUBh1draysMPP8zq1atZs2YNLS0tzJ8/v8s1XS6Xi5tvvpl33nkHv9/P6NGjefTRRznuuOMO5TQPmY4Te28oSlRSyEwzEIrIjCzKoCUQYVC+PWUvpq7amceIGVecOjCXLW19qN5eV01TawiTTiAsqzUpA3LTqPOEE+yy++bYuGBUEd0dZrLSjEnRn87YUOGi2Rfm652NIBAvht/fWFftdarW2aiTZ3cgikEnMKzQwbdlzjZBoaYn+UMSoahaL5NrN+ENhBMMKATAZtZj0CXXcbSPHimKwnsba6j1qHVbta4QCnKb9XhbGiBqmltFiz8uqmLphLG+YsN6OKhyBlRhJENUUthR60127ovdf6uRSqcfo0hbVMjEqN5qdKDZF8ao11HtChCMSESjCpXOAP2727AYjSkjgbE0vqe+3MWqvc0YdGJCOmnsGThzcHdW7FVr61r8YcJRBVM7G/VKp59aTxCzXiQqyThbw7j8YTUlTScSkWUiEkSlKDvqvDisBs47rlA15pAUtUbLHUzos9VVxBSpY0kIqu371KF5jO6TjaIofLKlLl4rdPnJxRRlWdlY6UpMZ5MV+ufaWFrSCIqC0xfGoBPxhyX0bf3M+ne3UVLnRS9AzHk/ZoQRi8RWOv2qPb8oIEkKoYhEWbOfmccWIAoC2TYjX+9sYnO1m3BUoleWnR31XrbWeDDoRPoUpLGuwpXQt81u1jMgL53fTeqXVFN54xkDeeSzHZQ1+QlHZQIRGWNYYlCB+RBT6RTVWr/t/HRttX45NhONrcGEVMdARGbJjgZ+OboXfXNsKIrCE//dRWswSlTalwKKDLsafJQ1B+iRYcZm1BOKSPjCyXczEpVpDUms3NPMngbVlVITVxoaPwyC3kDaMacc7WH8aFm6dCmyLPPEE08kNBP+7LPPjuKofnjGjx9PIBDAaDQe9LY1NTXcc8899O7dWxNWnXBIwmrx4sU88MADKT8TBIGzzz6bO++8k3/961+Iosj555/PHXfcccD9NjU1ce+999KzZ09GjBhxwLBse2RZZvr06WzcuJGbbrqJbt268fTTTzNx4kTWrVtH//79u7yvwyXWLHZztZsZI/Jpag2zbGcjUUnBHYgQjMrk281sr/WwqcqdJEg69rQ60Jvr9jVMA7unoyjEeyYFZbV+QpIVyp0BdKKA3KGPzSdb6tqaGasi50AT5vbj+3q32nfplH7d2F6nCo3Ooldj+mSxem9zfNJXkGHh8pOL4xOvfyzZTWsoSlRWhY/RIBKVFGRJSYgCiKiT9DSTnqGFjpQpU+2jR8t3NdHoDSGjmj1E24SmAOhFkBFwWPSUN/t4dVU5l4zplXQPzj++iDWlTt7bUK02OZYUApHUJh99c2ycd3xhXDj1ybHF62XaC75/LNnFpioPBp3qbDe00BGPCqWqG3v00xJKm31EJIVQJEqewxxPJ+34DLSGo2ysdCHJEnpR4OtdTYwuzk6IUIajMoKg1sWAWpMXu8YKEIxEKWvyMSjfjlGvo2emiS9KGqjzBNlY6eqyFXjsGbMa1Nqk2P1vb02hF8Gk1zEwz8bsE4r45ehe8e1HF2cnuWW2d9AEtb5sY6ULf1sPMRkQIjJ6USAQkbGZ9HiCUdJMalR2c7UbnaDWbWWlGeP3pjDTwovLS3H6VMOOlkCUjzbXYjPqOGtEAUMLHTS2BmnyBonIsLHKzZBCO6N6Z7G91kOtK4hRFAhISrxPlYxq1NLRTTGWfnfG4HyWljTQI9PCroZWTuqTzcVjeh1iKp2ASa9G+cJRtWeZaoYRorwp2bWwtMkXj7rGrvm3ZS3qC6FAlO11HsqafRh1IqGIjDcYxaRXXQP3HRGMevUZigm3fIf5iPY809DQ0DhcGhoaAMjIyEhYfigC46eMKIqYzeYDr/gD4vP5SEtLO9rDOCIcUptqWZYpKSnp9PMdO3Ygtys8N5lMXbqJ+fn51NbWUl5ezsMPP3xQY1q0aBErVqzgxRdf5K677uJ3v/sdS5cuRafTcddddx3Uvg6X2ERyU5WbjZVupg3L58Hzh3P96QO4enwxJ/XN5ph8OxFJYVBeOhVOPx9tro1PtDr2tDrQm+vYpPCSMb24enwfctJNGHQiFqMOs17kxOJshhY6iEoyEUlm8foalpaov2Bi1tduf5htNV7mLy9NqrfoSPvx5dvN5DnMbK/zUuvy89hnJfz53S08+llJ0n7mnjqAP5zWn2N7ZnDesQW8cPmo+KSrKMtKjk01OWlsDROMSLQGIoQiUeq9QYKRfc+TDFgMOk4b1J0bzhgIqLUlqca9tKQRVyCSFNkSBQGzQcBmNpBu0mEx6PAGo6ze28zzy/YCxM/RIMbs4NUXB/FdKck1hhAzBKmj2RfCG4xS0dZHLHavJgzIYeLAXH43qT/De9jJtZvJTText7GVTVVuPtlSl3Qua0qb4+l7sqJgNxtQgAyLIS44Ys/ADWcOZOrQfLrZTHSzGTHpRcqafHGBfsOZA5l7an8mD+qO3WLAqBdRFCXeTymGPyzjbEtpzU4zsqXWgyQpZFgM8f5lXSEmUvMdZkRh3y8do17AYTFgMYgMykvHatQz+ZjuCaKq/TXrGO2JLYude48si5r62naAWF+vggwLfzitP5eO7c2IogzCURmdoNZtSTJ82y6l87rJ/ZkxogB9u9+MwYhMky/Ca6sruP/DbWoqXJto8QTCdLOZmDYsnwtOKKI4J428DAtmg7oDAWgNRvlyRwPPL9sbv6+xqPSC1RV8W+ZEJwpUOgPYTDrkNhOXA30PUzG8h4OsNFNcvEqywncVLsqafPgjyRGmOneQtWXO+Jg2VrrxBKMEIzK/ndyPm6ccQ5bVpKb+tZmA6EQRk14k02rAahApyDBxfC/1xcFxPTMw6kQavCHSzfrD7nmmoaHx86S6uporr7ySgoICTCYTxcXF/OY3vyEc3tfWYe/evcyePZusrCysVitjxozhww8/TNjP0qVLEQSBN954g/vvv58ePXpgNps59dRT2b17d3y93r17x+eCOTk5CILA3XffDcDEiROTao2qqqqYOXMmaWlp5Obm8sc//pFQKEQqVq9ezZQpU3A4HFitViZMmMDy5csT1rn77rsRBIHdu3dz2WWXkZGRgcPh4PLLL8fvT37p9eqrrzJ69GisViuZmZmMHz8+KbL28ccfM27cONLS0khPT2f69Ols3bp1/xe+3TVrH7yYOHEiQ4cOZdu2bUyaNAmr1UphYSH/93//l7DdqFGjALj88ssRBAFBEBJ6WR3Mtdi2bRsXXXQRmZmZnHLKKTzyyCMIgkB5eXnSmG+77TaMRiMtLS0AfP3118yePZuePXtiMpkoKirij3/8I4HAgeclTU1N7NixI+V1PxIcUsTq7LPP5umnn6Zfv35cddVVcdEUDAZ5/vnnefbZZ7nwwgvj669cuTIh7NoZJpOJvLy8QxkSixYtonv37px33nnxZTk5OVxwwQW8+uqrhEKhH8ydcFd1E+UVFQwqzGZPk4+yRi+nDs4H4OPNtXGTBhSBKqefRq9aG7W9xsMNZw48pJ5WHa3a++ba2FrtxqgXWb6nCU9Atfm2mURc/n3pgDGb9gZvGLtFT4M3xEebaxlW6NhvQ+H246t0+nnoo+1sr983EXS2hhMaIMeYe+oA5p46IGGZ6hZXiysQoX+ujTp3EKtRTaFMN+qISAo6cV8jVQHId1ji9tn7S5vMSjOia0vrEgWwmQ2EozKyomA16hlSaAeguiWA3Wzg+F6ZcavoWC3Zsp2NfLmjgVBEwm7W09LWSDYQkfnHkj3kOywJb+UrnX6qXWp00KwXCEaklG/uJw7MpdYdYP43pdR5glS1+DmuZyYl9d4U90BQIzyKmqaWbtFjiIXd2t2X2PHzHWYy0wxUtQk6g15Hjcsfbwz7i1E9ybOb2VnvpdkbIttmosUXTrBAN4j7xOTV4/vw0eZaFqwqZ3WZE4tB3V9XiD1jO2pb991ARa3HOffYApbtbKLOE045Ed/T2Mqa0mZifaPau1l2jIy2+MJEo/v6fKnNbkXyHGbyHerLiXH9u1Hp9GPQifE0PW8w2iEqLCSJTICwpLCrLb0tRkSGL7bV0+QNYTPrcfkj+ELRuONhLGpV4DAn9KWKvdAw68U2d0ABSVaf0a3VHtLNBo7vnckNZww8qMhVvB5vdTmbq914gxH8YZkUGbMAtIYkSuo8QOpIeWx/y3aqLyjq3EH6dkvjwy21SLJCfoYFbzCKyx8mGJHJsIrxnm3j214gaGhoaLSnpqaG0aNH43K5uOaaazjmmGOorq5m0aJF+P1+jEYj9fX1jB07Fr/fz9y5c8nOzuall17i7LPPZtGiRZx77rkJ+3zwwQcRRZEbb7wRt9vN//3f/3HxxRezevVqAB5//HFefvll3nnnHZ555hlsNhvDhw9POb5AIMCpp55KRUUFc+fOpaCggFdeeYUvv/wyad0vv/ySqVOncvzxx3PXXXchiiLz589n8uTJfP3114wePTph/QsuuIDi4mLmzZvHd999x7/+9S9yc3N56KGH4uvcc8893H333YwdO5Z7770Xo9HI6tWr+fLLLznjjDMA1YTj0ksv5cwzz+Shhx7C7/fzzDPPcMopp7B+/Xp69+590PelpaWFKVOmcN5553HBBRewaNEibrnlFoYNG8bUqVMZNGgQ9957L3/5y1+45pprGDduHABjx449pGsxe/Zs+vfvzwMPPICiKJx11lncfPPNvPHGG9x0000J677xxhucccYZZGZmAvDmm2/i9/v5zW9+Q3Z2NmvWrOHJJ5+kqqqKN998c7/n+dRTT3HPPfd8b+YdhySsnnjiCfbs2cPcuXO58cYbyc9XRUNtbS3hcJjRo0fzxBNPAKrYslgs/OlPfzpyo07B+vXrOe644xDFxCDc6NGjee6559i5cyfDhg37XscQo3r7Ov7zp1nxn18GdDodOoMJRWdA0Bvj/y/oDAh6EzqDke9MZja8nM3iV/9F39zcpAlVQ0MD7777LhaLBbPZjNlsjv93+/+3ms0MztZT0QDdM9LYXO0h0tbXpzUkk23bN4Htm2Pj8pOL+ceSXexp9BEKSzz71R56ZlkZ0SOj03Sv9v25nvpyV4KoArUXTkmd94DXKvbmvqTOS607gMtvJM2oxxuKYBAFBEEk3SLSGogQbYuCGvUiZ43Ip9Lp590NNZQ3++KpiB3TJqcPz2dduZPqlgDmtv5Uta4AkgwFGWauaKvZiQmoOk8oHiWMTYBjkcXtdV4mDMzls611+MMSoqAkiNQYRVlWCjMsVLX4iUQVsmzGlG/uF64p58kvdtPgVa3mJQW+3t2E3azn9bWVrNzTTM8sK1eP70O+w0xBhgVfKEq3tojkCb0yE865fW2eQRQIRmT0ehG7SU+6Sc8nW+ow6nXxxrBvrK2kwRNCkhWy03UYdSYC4WhcVGTZTIhtZitqDY5q9hCVZDxRmbe/q2Z0cXbXJv5x4xFVVWWYdYiiSDebKd64d2iHFMg9ja3c8/5WNlW6AIHhRQ7umjEESBbTlU4/kgJZaYZ43zKzQWTSwBwqnQEe/ayEdLNqNa5vO26tJ0goKpPnSK5nEtnX/PZAeENRNla5Kcwwc9qg7rT4wvjDErIcbRNvBkRRTIo+17mD1LkDBCIyurY6sDSjKvhCUYn1FS18tLmW6yYfXBpz7Bre+MYGWkMyAmoNpCiQ0o7f09aEu7NI+cSBuUwcmMvSkgb+sWQX31a00KdbGoIg0BpS6ySP75XJlmoP+Q4zM0YUaIJKQ0OjU2677Tbq6upYvXo1J5xwQnz5vffeG88CefDBB6mvr+frr7/mlFPUurGrr76a4cOH86c//YlzzjknYb4XDAbZsGFDPK0vMzOTP/zhD2zZsoWhQ4cyc+ZMNmzYwDvvvMOsWbPo1q1bp+OLzRnfeOMNZs+eHT/2iBEjEtZTFIVrr72WSZMm8fHHH8ddsX/9618zZMgQ7rzzzqQo07HHHsu///3v+M/Nzc38+9//jgur3bt3c++993LuueeyaNGihHOMXZvW1lbmzp3LVVddxXPPPRf//NJLL2XgwIE88MADCcu7Sk1NDS+//DK/+tWvALjyyivp1asX//73v5k6dSrdu3dn6tSp/OUvf+Gkk07ikksuOaxrMWLECF577bWEZWPGjOH1119PEFZr165l79698QgjwEMPPYTFsu/v6TXXXEO/fv24/fbbqaiooGfPngd9/keKQxJWWVlZLF++nHfeeYdPP/00HrY744wzOPPMM5k5c2b8YTCbzTz//PNHbsSdUFtby/jx45OWx0RfTU1Np8IqFAolhHg9Hs9hjSXTlPx6WJIkJOnAb/hXbodoNHXtzu7du7nmmmsOejwxAZd30Tzshf2YMaKAoixrPHpxjENm98L7KHWGkEQDgsFErcFIaWY6zhWFDOqRnSTmnEEFdxi8UZHyOoVUj1JX2oPG3tyHoxKhqIxOFDhtcC6bqtzxmpMeGRZ8YYnSRh+5dtWmfnOVm5dXlhNpiz4BDOienjRBjgnHzdVuFAWWlDTgsBjaGiFL1HmC8UlgrEVA+/5BHSebBRlmIlEJWYk5p8lk24xJx7zilGJa/GHcgQjF3dIS6mv2NLbyysoy3v6uOl4PBMTt5XtkWqlxBcmxGWn2hVlb5mRDhQuDTozbi2+sdCdNgDvWvsmyQu8sKw3eMHqdQERSGNFDFYibq93UeoLYTDpCUZlaV5DudjO9u6VhMxuISGqdm82oJ89ujjtPBiPq9TbpxaSeaPu7x7XuIK3BSNw0JCgpZBhFsm3G+MS9I2tKnWyqdOFtE0qbKl2sLXOSZzcnRVba145ligK5djPZaUaaWsPUugOEozJ5DtVQQpJlWsNRzHoRh9XIuP7dEs5hYJ4Ns0HElyJ1LhWyAuFoFJ2o9ofKtZswG3RkWg3UeoKM6ZMdr51rf5w8hxlFUShrViNoUVkmJMnIshoN9QajvLSijG42Y1J6ZFewGPUYg1FkWcFi1NMvJ41dja2q6GtnbhHrg9a+NjTm/hj7HQHwwjel7KxvjTdHjn2vlu1sZPnuZlr8YYJRCYNOPLL9+X5A1q5dy0svvcSSJUsoKysjOzubMWPGcN999zFgQGKkffv27fzxj3/km2++wWg0Mn36dB577DFycnIS1pNlmUceeYRnnnmG2tpaBgwYwG233cYvf/nLH/LUNDR+FMiyzOLFi5kxY0aCqIoRm5B/9NFHjB49Oi6qAGw2G9dccw233XYb27ZtY+jQofHPLr/88oRaqVg0Ze/evQnrdYWPPvqI/Px8Zs3a94LcarVyzTXXJLQO2rBhA7t27eLOO++kubk5YR+nnnoqr7zyCrIsJ4ija6+9NmG9cePG8c477+DxeLDb7SxevBhZlvnLX/6SFCiIXZvPP/8cl8vFL3/5S5qamuKf63Q6TjzxRJYsWXJQ5xvDZrMliCWj0cjo0aPZu3fvAbc9EtcC4MILL+T6669nz5499O3bF4DXX38dk8nEOeecE1+vvajy+XwEAgHGjh2LoiisX79+v8Lq7rvvThBpR5qDFlaBQIA77riDSZMmcd555yWk3h1NAoFAylS/WJri/vIu582bxz333HNEx3I4dFaPdqj7VaJhlGgYs9HA0EI7EwbkJLzxn5AbYsOyT5K2awFKPj7w/o/79SOQcUzCMoMI+RaJ9PT0hIhax+iaJOjZ3RzCGxWxWswELBZ0Rd1oDsiEBo3Da+rOxlY3oGDU6xAFEU8gxLYNXxNBh9ViRhENWLMLuGB4TwrT9XGBBCS5+6Wb9VS3+GkNRkk3G1i2s5E8uzm+TnaaMcEMo2Pa44ebajHodUiKRFQGq1FHQUZqy9Y8h4VJA3OTokqPflrCsl2N+EISYjsHB1EAh0VNVVSQ2VLjYWCeakbS7AvHI1QFGdaUhg4da99aw1EavSF6Z1s57/jCBDE2rNDB9hoP9Z4goYiEXhTpl2vj2/IW0s0GzHoRTyCK1ObKN6IoA4NeJN9hpsYdQBDUPmZdca4ryrISleU2G3A1pVOSFdJMejZWuhld3NrJJHyfvb0qiBRK6rzktYmm9sIyVjsWqxeK3cOPNtcSCEuEoxI17iAmvUiaUY8sQ2aaEX9I4pMtdfHI257GVhq9YbpnWGj2hvAEo6odv0CCo15HREEkM83IqYNyE56n4uw06j2qdXp1mwDsm2OLuxC2+MIY9QIKansBm0mHs61nmqSo6Y2vra7oemSwjVp3gEA42pbKCRaDSFmzH1lWEBTi55RhNcRFVPvvyvYaT4LbZ0GGhS01biKSGgGragnw1c5G6j1BWoNRqlr8yArIcgCLQXfE+vP90Dz00EMsX76c2bNnM3z4cOrq6njqqac47rjjWLVqVXyCVlVVxfjx43E4HDzwwAO0trbyyCOPsHnzZtasWZMwwbvjjjt48MEHufrqqxk1ahTvvvsuF110EYIg8Itf/OJonarGzxDJ76bqyYsTlvW4bsFRGk1qGhsb8Xg8BxQ75eXlnHjiiUnLBw0aFP+8/T46TqRjKWOxmpyDoby8nH79+sXnETEGDhyY8POuXbsANVLUGW63Oz6WA43TbrezZ88eRFFk8ODBne4zdtzJkyen/Nxut3e67f7o0aNH0jlnZmayadOmA257KNeiuLg4aZ3Zs2fzpz/9iddff53bb78dRVF48803mTp1asJ5VVRU8Je//IX33nsv6R673e4Djvf75KCFlcVi4Z///Od+b/rRwGKxpCwsDAaD8c8747bbbktIVfR4PBQVFR3yWGLHPFQ6G+vh7tdktjCuv/o2NfbG/9vyFl7deeC3EfujX0E2rWGBUNvMUxSgZ3YaWSaB1tZWWlu7VoQfe8cRs0W54q7ByJZCQhHV+lkUBQRBIRAOU/7iDQnb7gEW/GHfz0aTCavFgmgwElb0pFktRAU92Q4bx541B0/uyHg91eZqd/x6/OdfT9K83JEQpYv9f8BspqnMTaCqloCiQ9Cb8PpN7Cit5Lh8dT29Xv1KdZZWFbM7TzPqCEYkJFlNO+uVbcVs1DGmTzZbql3Ue8HlD9MaipLvSC0kOk5cO7oOvvFtJa3BKDl2E6OLs5PEWCwFstEbYnuth10NrYQiMhkWAxuqXEiygl5nocLpZ2TPDDKsBuo9IlajnjSTrsvPR98cG6cP7k5JnZdwm6uC6pAZjptgpJqEjy7OZkSPDDZWqfblaSY9JXVeAmGJKUPzEAQhQVimuibThuVT3RKgwulHFAUMOpEh+XY+3KI2qS7MsMSdFYF4Y2+PP0JrMBq3Y08z6DAYBFp80X29zwRVtCgKDCu0Y9LryHdYmDBA/Y7FoqSbq90J0bXYczCiyEGtW/05EJGwGHU4zHrWlu77IyErai+0gxEqMYEkKZBh1eMPSbgCEcKSoroyto0/M81AUaY1/od0f26fFqPaPFkUBMJRGXcgwqq9zXgCEbrZ1AbMVqMOfziK0xf+QZsxHkn+9Kc/8dprryUIowsvvJBhw4bx4IMP8uqrrwLwwAMP4PP5WLduXXyiNHr0aE4//XRefPHFeGZBdXU1jz76KL/73e946qmnALjqqquYMGECN910E7Nnz0an6/p3SUNDIzWdfY++z99FMZO2hx9+uFPrcZst8ff2kRhn7LivvPJKSl+C2DzkYDmcsR3KtUg11y0oKGDcuHG88cYb3H777axatYqKioqEGjRJkjj99NNxOp3ccsstHHPMMaSlpVFdXc1ll12WYJ53NDikq3/88cezZcuWIz2WwyLmKNiR2LKCgoJOtzWZTEfU2OLSSy9l9uzZBAIBgsEggUCAb3bU8I//bqXZ7cMqSnh8fiLhMHIkDFKYdL2MVSdj0clUeSL0T/HApaenM2bMmPg+g8EgwWCQVp+fQDCIHI2kGE07dAY+31avugaKAp9vr8fpC9O8p/6wzrdnbga7GvVIcoSorDr2DcxLJ+sw3TzHDsxnnZTGhioXUUlGEASaWkO4PL4DbhsOhQi3E9oxadcMXHb55bh7ZLCn0YdBJ8Rd77bXedn4wYusDRx4/+259km4Frjvvvu444474sYK7Sf/t/72curr61F0Rqo8EbxREUnQo4gG9EYTu8xm8rPtfLfVwfaGABHBgKgzsHmvldLcSVw9/riUZiZerxe9Xo/JZEIUxQSbeZc/Qo9MC02tqmlCKme92M8L15Szu94LKKyraEGWFTLTjNS6g+hEAUVRqGj2UesKEJZkLEYdW6rdXa4BGt4jg365NvY2trY1Robm1gheR6TTqFffHBt3nT0k3kS3pM4bj9oJghAXMAdiRJGDkT0z4pGkOm+IoQUOWvxhorJChtUQN2GJRQZ31nkSaqy8YQkx0uYmaRSQ2p7zQETCYtAl1FB1jJIadEK7nltKPFocjkpEJIXTB3fn2/IWDDoBTyCK0aBamwOYjTpsJh01rkDcJfBAzbgrnX48gSjpZj1N3hCSosRjf1JbtMqkV1ND7RZ9/Pp3jHgiEB/3hAE51HuClDX5iEoKNrOeIfl2vihpoDUUxWzQEZXUSLFOFPhkS91PMh0wVoTdnv79+zNkyBC2b98eX/bWW29x1llnJbx9Pu200xgwYABvvPFGXFi9++67RCIRfvvb38bXEwSB3/zmN1x00UWsXLkyIdVJQ+PnTk5ODna7/YBzyF69eqV0n96xY0f88++LXr16sWXLloTsFyBpPLFUNbvdzmmnnXZEjt23b19kWWbbtm2dCpTYcXNzc4/YcbtKx4hWjCN5LS688EJ++9vfUlJSwuuvv47VamXGjBnxzzdv3szOnTt56aWXmDNnTnz5559/fljHPVIckrB6/PHHmTZtGkOHDuWyyy47ZHV8JBk5ciRff/11Ug7n6tWrsVqtSfnx3yd6vR673Z4QtlzvsWDIl3BkS/gjEjG3/ois9vDRCQKZ6aq4W1fhon/35FDu+PHjWblyZdLymGlBozdAhhHG93Hw5Ofb2FXjRJTCRCMRBDkMZhsVTj8LVpeDIuALRglFZGxZOWSNu4hoOAzREHI0giiHMQkS/bNNWHVyXMTFBF1MzEXCIYYUZbOkMQgImPVgt+gx63V8tqnysK6jyWRmXI9uDCqw4/SFWbW3mUZPEKLhA2+8H3rmZFA4NI/5y0uJSAobK91xEfRiJLWdalcwm81JzZ2nDM2j0uln+cpV1FZX7Xf76k6WvxWp4fKzxqecpJ566qmsXbsW2NfWwGKxgM6AJyKCThVuO17IJD/LnhCFGzduHHPmzIkLgRZ/FKtRr9bKVGzBF/SiM5pwZabzt92bqfZKoDch6A3U+4wYjWaWbq/tclPpNJMOqYN7Qr7DvN9t2wvFvY2tfFveQs8sa4IYiwnZVLTv0Xb5ycWJEb21ldR6gvFUzJiw+La8hXCKvD8BEASFYFhBADxRGaNepDDTzNkjC+K1eUtLGhJqwE4dlEu+w5Ig3mLR4pjo6plljT+DGytb+HxbPf6w1ObmJ/DljoaDasbtDkRw+SNIioIggCQRb5RsNoikm/Xk2s0c36vztFcgfq0ALjihCEEQ4k2b67whRvbIYPzAHBo8Qd7+rpoWfxiTXtxvJPKnhqIo1NfXM2SIapxSXV1NQ0NDyvqQ0aNH89FHH8V/Xr9+PWlpafH0pfbrxT7XhJXG903vWz888EpA2YPTv+eRqD2UZs6cyauvvsq3336b9D2KiZlp06bx+OOPs3LlSk466SRAraV57rnn6N279/eaNTVt2jQ+++wzFi1aFDev8Pv9SYYQxx9/PH379uWRRx7hoosuSorINDY2JtVcHoiZM2dyyy23cO+996Y0rxAEgTPPPBO73c4DDzzApEmTMBgMh33crhLrNeVyuRKWH8lrcf7553PdddexcOFC3nzzTc4666yEHlexyFr7SJqiKHHTvAPR1NREU1MTPXv2xGpNXcpxOBySIrrssssQRZFf//rXzJ07l8LCwqSQniAIbNy48YgMsiO1tbW43W769u0bf6BmzZrFokWLePvtt+MFh01NTbz55pvMmDHjB7Na7xw1DclgEZFlJe62FglJCApEZIVQ20TtYEk1ITKvacQYNGPQqek7sqwQjspEw1F21auRmu52M6IIgj2X/Em/auuRpL7VNulAEEXGDM3n0QtH7vf4C9dUYDbuxhyR8IclGjwh3l5fjU4KMvjXT3DVST04JteSEGWraHDR0OLFopOxiFJSFK7J5WVpZQShtZHsNCMjihysLWvGE4wiSVEEoxVFCoOU2uhjf8SeVaNeFzdzEASBk/tkdmoc0hXMZnPSxHn+8lKMeh1u78FFwdqzxxmK91nqSPv00JgJS6r84vXlsD7FvufMmRN3PsxNN1LVEsSk1+FZt4jKzapN7e4U28XYBSz+gw5Lu5TJqVOnJvwBigk3Z2sE94ZPCNbuQdAbEQ0Gtuztxi27P6FHTkZSDV7sv5sCMu9vacId1uHo1p0pQ/MSbNdj6Xt17iAOiwF3IEKewxyPAIWjEg3eMPOXl/KXGUOYMCCHpSUNRGSFce3cJCcMyInbyrf4wkjNvriBha6thxOKmgJo0ou0hmVkWaHBowr9zgxP2puhwL7+aO3FVPtI5IQBOQzvkcH85aU0eENUNPsRBSh3+jHqRCYMyKHOE9qvcMlzmMlNN7KzvlU1gan3giDgsOjIz7AwqncWexpbWVLSwI7afW0e2rt9xsRq+/rDKUPVtJOO415a0sCqvU7SjDoavGFyulh/91NgwYIFVFdXc++99wL7siBixkjtyc/Px+l0xtt71NbW0r1796S3vO1NlTrjSJsqaWj8WHjggQf47LPPmDBhAtdccw2DBg2itraWN998k2+++YaMjAxuvfVWFi5cyNSpU5k7dy5ZWVm89NJLlJaW8tZbbyUZOxxJrr76ap566inmzJnDunXryM/P55VXXkmahIuiyL/+9S+mTp3KkCFDuPzyyyksLKS6upolS5Zgt9t5//33D+rY/fr144477uCvf/0r48aN47zzzsNkMrF27VoKCgqYN28edrudZ555hl/96lccd9xx/OIXvyAnJ4eKigo+/PBDTj755Hjq8ZGmb9++ZGRk8Oyzz5Kenk5aWhonnngixcXFR+xa5ObmMmnSJB577DG8Xm9C+yaAY445hr59+3LjjTdSXV2N3W7nrbfe6nI93Y/Sbj0rK4vs7OykQr4jwVNPPYXL5Yr/wXn//fepqlLf9F933XU4HA5uu+22+Bcs5tU/a9YsxowZw+WXX862bdvo1q0bTz/9NJIkHVFjikNldHEWI4oyKGvykZlmBBT2NKipPdE2K2pJVuiXY0swT+gq7dO6lpY0YLcY6JVlVQvx7UaicltBe0QGZBRFoNEbYmCejfEDcnH6wny5vYF6TwAlqhCSAEnm8+11LFxTnuRK1n7i9fHmWuo9ASKx3KlYc1KdGV9GX6rMhfxx6siEbZ9ftpeIL4w9zcjlKd68Ly1pYMHqirhAqXWrFulWo47iPkU4bl5EWJKJRCVMgkSaXmFS/wxW7aylstGNHAlj1slcMDKXk3o7EoTbsccei2xLroGSJIkLLrggQeC1T+cMBoN4fQF8fj9SOLTvRNuwWCwJk2qDTqCyJYBBFDptLNgVWiMia8ucBxRWB0tMYMaMFCoAq0mH1ajns1DXo4KyJOHz+fD5VPHY8ZdbzPlREMBfugHfjm/in61s+9cVioccz6k3P5swSY3te+Pif7J7xceYzGYkwYDdZkXRGVBEA2H0WC0WnBYzN36ZQ7/8LAKyyM7aAJvRkZvbnR5Tfw+o36NYXZbZoKOlqYFiu4DOZKKkIUhOpo3dzRFCsoK+7eVIxyjc/vrQdaVH3dKSBt7dUIM3GKV/jo1PG+tYVx5ClsGgE/hsaz3H987sVLjE76fTj9Wop84TQtfWt2tEDwfBqEJVi5+t1W4MOpHqlkDC89U+6hpLVzyhV2bCi4KOEbOOz1D7SNhPmR07dvC73/2Ok046KV6UHTMROpBZkslk+lGZKmlo/FgoLCxk9erV/PnPf2bBggV4PB4KCwuZOnVqXLx0796dFStWcMstt/Dkk08SDAYZPnw477//PtOnf7+RNavVyhdffMF1113Hk08+idVq5eKLL2bq1KlMmTIlYd2JEyeycuVK/vrXv/LUU0/R2tpKXl4eJ554Ir/+9a8P6fj33nsvxcXFPPnkk9xxxx1YrVaGDx8et0EHuOiiiygoKODBBx/k4YcfJhQKUVhYyLhx47j88ssP6/z3h8Fg4KWXXuK2227j2muvJRqNMn/+fIqLi4/otbjwwgv573//S3p6OtOmTUsaw/vvv8/cuXOZN28eZrOZc889l9///vdJlvhHA0H5kVUZ9+7dO2XXZSAupC677LIkYQXqhO6mm25i8eLFBAIBRo0axSOPPJIyZWN/eDweHA4Hbrf7kN1VILmJ6dKShnj6WSQqU9XipyUQIRKRkVFT6EYWZfCXGUMOK4Wm/Vt8g05gytA8PtlSx8o9zXHzAIA0o47ZJ/Rg4sBcPtlSR0mdl8oWH/6QhD8iI7a9pe+fY+OZXx3f6cSrss3xLJSqqypwbJGDd363L92lvWjaXuflkjG9kupl2p+DNxiJmw58UdJAnt1Mnt1MRJZZW+okzaQnIsn0yk6j0ulXJ5KC2py149g7HuNgmjDHxv7csr1sq3bR4guhRMMI0TDnHdude2aNVl192va7ZEc9r64qR5LBt+ULJvRJZ0wve1y0rd9bz/aqZqLhEC1eHxZRwh8IQDSMFAkTjYQhGqZw/Gzm3X49vxiVbB9aVFQUf/FwsNx0003xrurtrwXA9MnjKNmy4ZD2e8kll/DKK6/Ef97T2Mq9729lU5WbPQv+gnfn6kPab8GQ0fzqnucTJvRLSxq49/1tbPrPwzSv++gAe0hNcf9j2Ltze8Ky2PV44YmHePnpR5M3EkREgxFBb8RkMpOTkU56miUh2ta9e/eE6xBjaUkDHy1ZSaByC8N65SRss7MpyIJv6/BJIrKgJyM9DXdEQNQbiQo6zGYzWTYzv53UL+Xz0HH8GytdfLKlltZglHpvCItBh82sjzv7CW0W/9ed2j9eK9fxpYZBJ2DU6xJEVqrv7Z7G1ng/uK6kK3bGkfr9e7jU1dVx8sknE4lEWLVqVbxO99tvv2XUqFEJ/V5i3HzzzTz88MMEg0FMJhNnnXUW27dvZ8+ePQnr+f1+0tLSuPXWW5k3b17K46eKWBUVFR3166Lx46Fjil9nroA6a3IfxVT8EKmAGho/Vbr6t+noF0d1oKys7IDrvPjii7z44otJyzMzM/nXv/7Fv/71ryM/sIOkY63N1eP7APvSz77e1YQoqD11YoEeTyDKxrZePYcjrFKlBn6xvYGIlKihI5LMmlInpU0+IpLC0AI71S4/JoOuLbIFggLeUCRhTB3T3fQCyIqCjtRNVbfVehOiXp055nU8hyltdVB6UcTlj7CnyRev6RjVO4tKpx+XP4IvFCXNpCcqKVgMau6t3JayJSmdO6qlcpE7ELE385VOP66ghE6vR69Lo0/vXvEvWmy/i9dXAwIZFh264afRc2QBN1wwMr6vmNBu8ISoalF7GRl0IoFIlNaQpJoMGESGFNg7jWKuXbsWn8+XEGFbvauWTzdVkp+mo7zBxQlFNno6DEnRt1htR8cXAACD+xcTDXjVKF2rH38gQDQSUi3wDkDHdgGxXmKPflbCHukABiv7oVdu6obVeQ4ztRaB5k62OxABWZeUahn7701lDak3UmTkcBDCQfx+D+UtyesVFhYmLYsJwV1ffEzVJ/88pPGKBtP/s3ff4U2V7R/AvyejSbo3LW2BUqBsyih7igKCCCJLRYYI/ERkCIrAiwwVUFB8HSg4gBcqiAiCgsgWBGTIFihQaGlLS/fOzvP7I+bYNGmbpkmTtPfnuri0Z+VOcpKc+zzPcz/ouOUMGNO3hJeO++jRo1izZg2frKk5Ee6llSBPyUEmk0IpEEMpkwJCMQrl/8xxJ3LDPuVd+BfcxZinnjD6fBq6KwL6Puy//f2o3M+tuQm1XXWcVX5+Pp588knk5eXh5MmTRsWPDN34yiuW5O/vz7dShYaG4tixYyaD4B1RVIkQQoj9WZ1YFRQUYN26dTh27BgyMjKwfv16dO7cGTk5Odi0aROefvppNGnSxJaxupTSyUfpSUwNg+Mf5smRV6KCplQmwgAUKfVzD1VX6bESH/4Wjz/vZaPsJbFWx1CoUEOh0SHAww3X0wogFgrQtbEffr+dCYVaCzBApwNO3M7kx4pE+LtDLOBw8m4WQr2lGNouFLsupiI9X4FilQY5xcYXz0qNDut/v8fPxWNJdygDN5EQvZr64kJSLrpHBeDJfwolJGQWYceFZD6pCveT4ciNDJSo9WOkBBzgJRUhOsR00uDqvq5TejeGzE2I3RdTwHEcOA4I8jK+AErILIKPTAQ3kQBFSg3EQgEaBrjz687dz8bJO1n6sU3eEjzZJgQCjkNWkQq7L6VAyHHQ6hiCvaR4tV/T8sfSmCm1GhpdhExvfVLftX3FrQalbwAo1Vo0DvJE3+gg7Nq1y2SbpOxi/J2cjRKFAhJo0SHcA+M710eQTGCU2Jm7WDRMAJxx9jHkRkRCKtAi2F0AtUoJTquGQKc22/XS8P8qlQrhgT4mz8OQ6P5Zja6WELqZTQCSc0pQUGz9nHTmSsleTclHoUIDHzcG69oZAcYJ8MvVNJy+m42Ojfwwd0A0H3tSUhJ+/dWCyefK+A3Abx8Cbe6loW1kiMnn89dff8VTTz0FiVQKsZsUMpkUP3q4m4yL0wnFSCsG8PKycm+aODuFQoGhQ4fi9u3bOHz4sMkg+bCwMAQFBeHChQsm+547d86okldMTAy+/vpr3Lx50+g4Z8+e5dcTQgipPaxKrFJSUtCnTx8kJyejadOmuHXrFj9Xkb+/P9avX4+kpCSLK3TURuZaZQwX5fuvpSE5pwRCIQcJx6D4p14CB30J57IX6dVRet6kEqUWpTvreUhEyChUwfOfxCS2kT9uphUgq0iFZvU84evuhtRcOT/fk9HFJ6ePF5x+vqFQHxk2nrqPe5nFyCtWo2ynwOxipVGrlyWtRWXvnD9Zqvrcufs5uJKcBzehAOkFCtxMK0CxUp+leogFcJcI0btZMKb3a2LzO+ZRQZ7o0ywIh248QoFCDW+JGCHe/7bSlO7y2TjQHbklakjEQvyVlItt55JwJTkf8Y8KkVGgwGPNg5FeoES7CP2Ymc+O3oFcpYVWx6ADoNaYawOsPD5LE1fDDQCZSIA/7mTiSkoeTtzOBPBvMmQ43tY/k3AzrRBiqRAcB2TDA24BEYixsOx53+hgfLd2SZW7XwL6OTLi0/JwPD7DqGXNEFsT0QLoCqfgYXYBDl9LgUqpgLeYoWO4J1/VsnSylplXiNupOZArFKgf2ZQvk1665S7C3x06TfWqRJbVNtxHP0l1vvXFTDihGBotQ4lKg8SsYqPPZXXnusuU62+/lP18KhQK6HQ6yEtKIC8pQUEeUN4kDTIPLyxuEWxStMMVaLVajBkzBmfOnMGePXv4amRlPfvss9i8eTOSk5P5OQ+PHDmC27dvY86cOfx2w4YNw5w5c7Bu3Tp+MDljDF9++SXCwsLMlncnhBDiuqxKrN544w0UFhbi8uXLCA4ORnBwsNH64cOH45dffrFJgK6qvItbw+D4329nIP2fggxCAOAAsUgAH3c3o4v06orwd4eXRASNjsFDIoRSo4Xqn2v1YqUG7hIhejQJgFytQ9twX7QJ88Hnx+4gu1hfrlkiEiIhs9ioxLWhu0/PUhXVAH3rUtMgT6TmGt/l5wC4Catf7dD4Ik0/Mw/HAQq1FgqVjm+RK1brS+5nFlW/5a8iDfzdEeTphswiFd/NJyGzCBtP3ceNh4UI8nIDA+AjE4MDcONhIXKKVfCSitE61BtHChT4+2EBmtXz4uc3upVeCB37d6LlfIUGG0/dNzsnkLkufAaWdnM0JK/nE3PAGNDAT4b0AhWup+Yj4p8uj4bjN6vnCTcRB62Og0qrr2xpmF/J0gtoa7pfAsD97BJs/jPFqGutUZI+7DF+LJeyUSMEebnB190Ng/tElTvflWEc0sO8Emw5k4T7WUVGhRkAoOXoeRD0mAyBTg1o1eB0ajT2FSM5swBPtgzAU60CTQqdGP7f19fX5DENyepX6S1xU9EDUoFx0pdfVIzCohJo1SqwcrpNciL9eSVX61Cg0BiVnK2oGEKlBMJyJ4isynGZUIzLD/KsKsLjaHPnzsXevXsxdOhQ5OTk8BMCG4wbNw4AsHDhQvzwww/o168fZs2ahaKiIqxevRpt2rQxGjgeHh6O2bNnY/Xq1VCr1YiNjcVPP/2EkydPIi4ujiYHJoSQWsaqxOrgwYOYM2cOWrZsiexs05ENjRs3RnJy9eYwqg0quogM9pQiwEuCQrkGTYI9kJwjR7N6nhAIBOVOwGYtT6kI9byl0GgZMoqU0JToL9gYgAAPCbKKVBAL9fPTpOXLkZRdgkK5GgoNg7ubAC3r+xiVuC5vjFSAhxviHxXyVQ+zi9UQABAKwJd4rqryXsPOkQGICc9CWoF+AtvErBIwHeOTK5EAuJuhH0wPVD6palUZuqBlF6vMJp3BXm7IKFShUaAMgD6+IC83iAQCiIWc0RxAhvFi2cUqNA3yREJGEXRgYAyQiQUokGtMuqqZG8NnzXMzJK9hfjJ8fz4Z6QUqeElFCPB0Mzl+58gAdGroj/vZxRByHAI83HD0VgauJOdZ9PgVJYKV7bfvahoe5JTw1en2XzOdP6vsa2+u5HfZGJJzSvDVifvILlJBrdPh8RbByC5W8fM36RjgLpVAo3XjE94UJkC9yFA89XhLPlGqir7Rwei7ZiGAhSbrDMVRtDod/krMhkalhlajL2Ki06j0xVLAIAAQ4S+Dr8zN6PuiV69eeHPxcpy+nYbCohIolUrkFhZBo1JCqFOjSYAEniKG3IIiPMjMR05BEZhGBaZWQSwWlfvdU5WWMIlEyr+GrtZidfnyZQD6arTmSgMbEquIiAj8/vvveP311/HWW2/Bzc0NQ4YMwYcffmgyLmrVqlXw8/PD+vXrsWnTJjRt2hRbt27F888/b/fnQwghpGZZlVjJ5fIKJ/oqLCy0OqC6IDmnBGodwxPN6+FIvL6ohFgoQGqeApGBHjYdl2C42Hy8RT39mJ68Er6bnpDpux4WKtTwkopx4Ho66vvKIFfpoNDokxSlRoecYpXRBVd5LUlTejfG+cQc7L+WhivJeeAACASASCiwWbeg0mXeezULRFaRCqfvZiE5pwQ69m8BdP2cYAyZhUqbJCBlGV4DQ0uPQemy04FeEgxqHYL49ELkl6ghFQvRrJ6X2bmLgFKJqbsbZGIBknLkyCvRQMDJUbZ4p7kxfNY+r6ggT7z2WFO0CfPB9dR8tA7TV5A6eivT6Ph9mgVh7sDof1p55Dh6K8Pix7c2ESw7T9XJO1nIl6txJiEbqbnyckt+B3pJMKlHZKXJqGHMU7C3GxKzSnA5OQ/dowL5z2BkgAeyi1QoVmig0uoABjDo0LtZoFVJVWUMz+FKSh5EQhHE7iLI1RKIOP20DAAgFQGMcfrPJTijcyM2NhbF3g2RU6rqZrifDAVyNTo18jOaNmHp3uvYcjoJWuhblVuHeZf73fPMM8+gY8eOZqciMMxLd/DqAyRnFUDopp9DzBXHVx0/ftzibVu1aoXffvut0u0EAgEWLFiABQsWVCMyQgghrsCqxKply5Y4ceJEuXXpf/rpJ7Rv375agdVmhhYfQ6tFPR8pfr2WhgKFGveyipGcU2LTlhVD65K3TIR63jKk5pVAqWHQAribWQQhx2FAq3rILlYhzE8GoZDjExSNDsguVplc2JtrSTIsyyhQ4nZ6IUpUmn/mtmK4l1lUpS5j5pibDPZ+VhHy5P9O6iviAC+ZGGqtDg0C3BHoKcHVlHy7VSk7cTsTiVnF2HUxBa/2a4K+0cF80skYw47zybickgeNVgcfdzEGtQ4xe0FeOlHbfy0NF5NywQBodAx5JSpcS8032s+SyoqWKN2C0zc6mH+MhMwis8c3vHYP8/Sl/C19fGsTQcN+hpaqUB8p0vIVfMnv0scxl/CXfn7mYmgb7gOJSIAHOXIIhRx8ZGK0i/Dh95k7MBrnE3Pw/fkHuJ5SgEAvMbKL1ShUaCqJ3Dqlx7NlFChQqNC3LmtKffxUGkAi5tAixMtsC3fpIjlqrRZ5JSpodQxytZYvIJOQWYTjtzJQeuq5UG9pue+Jn58f/Pz8yo37eHwGUkIf4DEvCa6nFaB3syCXa60ihBBCqsuqqatnz56N7du34/3330d+fj4A/eDyu3fv4sUXX8SZM2eMBvASY4aLp3FdG2LuwGj4ubtBqwOaBXtCqdbhemq+XR5rUo9IRPjLIBUJIfrnWkyrZVBqdLicnIcADzcEekoQGeABb6k+5xYJOAg5IL3AuCtQQmYRjsdnICGzyGT5rbQCyNVaqLX6O+EiAZBZqOTHYlnLcGEc6OmGQoUGEhHHF6ww0DCgRKWBVCzEiA5h6Bzpb5MExJxz93NwITEHD3JKcC0lH2sOxmPbuQcAwI/rSStQQCoSwMNNBK2OVdjNMyrIE2NjG+DJ1qGQiYUQ/FMgRMMYEjOLTbY1vK/WtsIZEtW4sw/w1Yl7Ru9lecc37HP0VibAgP4tgi16fGsTwbIFTIa2q48G/u4Vlvzu889FfdnnB4BPOFQaLRhjiPB3R2ykH+p5SzCgZT2+5bb0PmNjG2B0pwhIxQJkF6shEQnQqVH5SYY1Sn+eooI8Ma5rQ/h7uP076XYZIoF+8mlfd7HZ12BQ6xCIhRxyitT4+2EBHhUocCExB1v/TOKTTaFAAOE/p6ObkEObCF+r4y99syi6npdLjq8ihDheXl4epk6diqCgIHh4eKBfv364ePGixfvrdDp88cUXiImJgUwmQ0BAAB577DFcuXLFZLsPPvgAkZGRkEqlaNu2LbZt22bRY+zfvx9Lly6tytOqtps3b2LQoEHw9PSEv78/XnzxRWRmZla6X3Z2NlavXo3evXsjKCgIvr6+6Nq1K77//nuTbY8fP/5PpWPTf3/++Welj3Xq1Cl06NABXl5e6Nu3L27dumWyzcyZMzFw4MAKjzN37lyTaqyuxKoWq3HjxiEpKQn/+c9/sGjRIgDAoEGDwBiDQCDAihUrMHz4cFvG6XIqG09SusXHUCnsbmYxJCIBAjzdbBpL2dalD4vjcedREbQa/cTEAgARfu78gP0ryXnIKlKiRKWFj0wEoYBDfHohf9FXUbcuQzfHFiFeOJ+YC47TT31kKIleHYaLtwc5JfCSipAv18BNyEGtM25NEwk4fVLCcVWqkFd1DBodg44xcBxDSk4JfriQzI85ivB3R6i3FI8KFOCgn2/Jktegc6Q/WoR640xCFtQMcOM4ZBUrzc61VJ3nU1krkrnjG/YJ+adlIj69EBkFSrQN96mwa5y174O5/SL83atU8dAQa0wDX35uNLVW35oIDsgrUUMkEPBjDdVahnbhxq+JoQvdhcRcky511VXe56lhgAfuZvybUAv/+SzJ3ITo1zwYyblytAj15rvGln0t3ERCNAxwR0qeHMVKDUpUWpy4nQm5SotBrUMQHeKFrGIlVBodX1THWvb9nBFCLMGJpfB/4v9MlrkKnU6HIUOG4MqVK3jjjTcQGBiIdevWoW/fvvjrr7/QtGnTSo/x0ksvIS4uDuPHj8eMGTNQXFyMS5cuISPDeK7BRYsWYdWqVZgyZQpiY2OxZ88ePP/88+A4DmPHjq3wMfbv34/PP/+8xpKrlJQU9O7dGz4+PlixYgWKioqwZs0aXLt2DefOnYObW/nXjGfOnMGiRYswePBg/Oc//4FIJMKPP/6IsWPH4saNG1i2bJnJPjNnzkRsbKzRssqmT8rPz8ewYcPQtWtXTJ06FZs2bcKzzz6Lq1ev8kV6/v77b3z11Vf466+/KjzWvn37MHTo0Aq3cWZWz2O1aNEivPjii/jxxx9x9+5d6HQ6REVFYcSIEWjcuLEtY3Q5VR1P0jc6GGn5cnx39gHEQgGuJOejc2T1us1V9FgAsObgLdx+VASVhoHj/k0E+0YHY1DrEFx/mI+8EhUUKi3cxEJcSc6DXKXFlN6NK7wgNyQ/WYVKSMRC6HS6f+aiCqz28yl98fYwrwQHrqdDKhYiNbcY2cVqGOY/1umAf4rB8/vZ+rU0tO40DvLArbRCqLQ6qLUM4X4yfuB+uJ8MvZoFokV9bwR5SSweZxYV5ImXekYiKacYjwqUCPJ0g1pb/kTH1iqvFckwzxbAmUxAa5jD7Eh8BhRqLeLTCyEVCeDrrv9iryy5srbAhrUJZV6JEleS8yAWcjhxOxO9mgb9O0n33SxwAHo2CeTnSWsd5oMD19PNtog917mhTRMqg7ITbhsKc7QN98Efd7Kg0eqgYYBAwMFDIkLTYE/I1Tp4SUQ4cTsTZxKy0cDf3WS8meEmhKdEiCKl9p/uvUzflbZAgeahXriTUYhCpYaPozrnlz0+Z4QQywnEEnh1eMrRYVht586dOH36NH744QeMHDkSADB69Gg0a9YMS5YswXfffVfh/jt27MDmzZuxa9cuPPPMM+Vul5qaig8//BCvvvoqPw3Cyy+/jD59+uCNN97AqFGjnKpi54oVK1BcXIy//voLDRo0AAB07twZTzzxBDZt2oSpU6eWu2+rVq1w584dNGz472/X9OnT8fjjj+P999/Hm2++CQ8PD6N9evXqxb/+ljpz5gzkcjl27twJqVSKQYMGITIyEnfv3kV0dDQAfW+3KVOmVNgade/ePcTHx+PLL7+s0uObU1xcbPLcaoJVXQENGjRogDlz5uDzzz/HF198gXnz5tX5pAowvlAyXGSX13XOINRHhhAfGXo2CeT3sRf9AHkPeLiJwAGQiDjklahx4nYmH2dmgRIyNyEUWh1KVFrky1V4kFNiNNGxuYtPQ/LzWItgNPR3R7C3FCIBh7+Scst97lVh6OoV6iPjE7Ywfw+E+coQ6CGGVMSBEwANA6yrQmiJ4/EZWP7z3/j5ShrAAAHHQasD5GotTt3N5issfvhbPHZcSMH5+/8WuKjsPCgtzNcdUYEeUKiZXYoBmOvul5BZhPk7r2DFvptY81s8PjwYb9JFsFezIIR4SxHsKYFSo4OXVIRChcamXVirKyGzCAeup6NIqZ8TrGNDP6i1+psIhnM31FuKEB+p0TxphjFy1eliWVWlx0Sl5ytwJiEbX524h7bhvugc6Y9QXxm8JEL4yMRoEuSBV/s1QdtwHyTllODvhwW4n1mE248Kjb4zDO/t0zH1Eeorg0jIQSoSILdYDbVW33L16/V0/STIcg3uZBTh82N3LTovq3IOE0KIpXbu3Il69ephxIgR/LKgoCCMHj0ae/bsgbKSieA/+ugjdO7cGc888wx0Oh2Ki83PF7hnzx6o1WpMnz6dX8ZxHF555RWkpKTgzJkz5T7GxIkT8fnnn/P7GP4ZFBcXY+7cuYiIiIBEIkF0dDTWrFljMk69Kn788Uc89dRTfFIFAI8//jiaNWuGHTt2VLhvZGSkUVJliHv48OFQKpW4d++e2f0KCwuh0Vg+llgul/MTxgP6OW0BoKRE36Pip59+wqVLl8y2kJW2b98++Pj4oGfPnjh27Bg4jsPu3btNtvvuu+/AcRz/Xk2cOBGenp5ISEjA4MGD4eXlhRdeeMHi+G3J6hYrg6KiIuTm5po9aUqfBHVJ2cTDMEdRRS1YtipGYAlDpcAIPxnyStTQ6PQl0RmAr07cw5WUPBQq1HATC/WtPxxDaq4C/h4So4mOy+v2Y+hWdCExBzceqhDiI7V5i0vpi1GRAKjnI0FSthZSsRDh/u54tV9Tu1wUG+apupqSDy+JCCVqLZQaHaQiAVQaHQQc0LtZENLy5bickgcBgBtFSiRmFePXax7wlIqg1rJKWzIN1eHiVVr4uYsQGWifuy5lWxn2XX2Iqyn50OgYipVaXHqQazSxM6Dvqvjr9TTEpxVAp2N4mK9APW8pX02wplTU3ZYvetHAD0fiM5CSK0ezf8b+xDby589dAGbnmqvJlhfD52n/tTScScjmC3NwHIclT7fC50fv4sitR5CKhXiYr8DvtzNx7GaGvhImALlKC4VGZ7bATHJOCbylYjTyd8fDfAXC/GTo1TQY11LzEeotxd1HRdDqtBAK9FUG7VXdkRBSNY3e2ufoEGrcpUuX0KFDBwgExvf8O3fujA0bNuD27dto06aN2X0LCgpw7tw5TJ8+HQsXLsSnn36KoqIiREZGYtWqVRg9erTR43h4eKBFixYmj2NY37NnT7OPM23aNDx8+BCHDh3Cli1bjNYxxvD000/j2LFjmDx5MmJiYvDbb7/hjTfeQGpqKtauXVvl1yQ1NRUZGRno1KmTybrOnTtj//79VT4mAKSnpwMAAgMDTdZNmjQJRUVFEAqF6NWrF1avXm328Utr37498vPz8eGHH2LkyJH4+OOP4ePjg+joaCiVSsydOxfLli2rsAgSoO9m+cQTT0AkEqFv376IiIhAXFycSQtkXFwcoqKijCZx12g0GDhwIHr27Ik1a9bA3d3d0pfDpqxKrBQKBZYtW4ZvvvnG7DxWBlptOSOva7myiYclFdFqcoyCoTtXeoECYiEgFgrQor4XmtXzwtFbGejUwA/ZRUoo1PpEQSTkIBIKjSp9VXbxGRXkiUk9IvH5sbsoUmrMDrKvDsMA/Y2n7gMQQiTg4CsTQ6HWwd/DDRH+9vlAGe7wG+b8AgcwHaBk+s6HDECIt75yHQd9K5ZKw5BdrEJGkRJeEhHahPnwrX/lvYaG55eQWYg8uQaHbjxCRqEScwdE2/XcyCnWV6ETANAAKJBrcOJ2pkk3xpwiFVQ6BrEIEAkEeKJlPbuUHy9PZRf4ZStvGuYLK33+Glhb+MOWc6MZbkak5spNbq4k55RArtJCqdZCKhbh6K0MpOT+O20CA6DR6kwKzADGCXq4nwzPd2mAzpEBeJgnx4OcEnjLRP9MMqyfoqCyu6q2LPNPCCGlpaWloXfv3ibLQ0P14z8fPnxYbmKVkJAAxhi2b98OkUiEDz74AD4+Pvjvf/+LsWPHwtvbG4MGDeIfp169eibFpEo/Tnm6deuGZs2a4dChQ/y8dgZ79+7F0aNH8e677/L1B1599VWMGjUK//3vfzFjxgxERUVZ+GqAj7V0bGXjzcnJgVKpNJk/ryI5OTn4+uuv0atXL6Pjurm54dlnn8XgwYMRGBiIGzduYM2aNejVqxdOnz5dYbXvRo0aYdWqVZg/fz7mzZsHmUyGb775Bu7u7lixYgXc3d3xf//3f+XuD+hbt44fP44vvvgCgL5lbdy4cfjoo4+Qn58PHx/9zdvMzEwcPHiQf40NlEolRo0ahZUrV1r8WtiDVYnV9OnTsXnzZgwfPhy9evWqNAOti8omHpa0Rtn7Tnnpi8FezYKQmF2MyEAPFCg0GNkxArGN/HElOQ/phUr9xdijImgZUKzSwVvCIbCKRTUi/N0R5CmBpvQEUzZmGC/zy7U0ZBYo4OPuxk8MbI/XMsLfHd4yEQQcB193MVRaBn93/VgWqVgAIadPWDtH+qNdhC8uJeUCAEpU+jEuSrUKp+5mIchbalHXAI0O8JQIwRiQnq+w+4Vs3+ggHL75CFlFSgh0DF0i/UxaG5NzSqBljG+lE3Ic/D1sW3ClMpYU3ih9o8Kwj2GdgTUJkr1abczdXDkenwGNjkEiEqBErYMbY1CWKRUo5PRzJWUWmnaTMSToaflyqLXsn/GbAfzjXEnOw4HraQjxkUKh1lU6OXllLeu2TjgJIXWHXC43myAYupfJ5eUPkSgq0ndNzs7Oxp9//okuXboAAJ5++mlERkbi3Xff5ROr6jxORfbv3w+hUIiZM2caLZ87dy527tyJX3/9FTNmzKjSMQ2xVBavpYmVTqfDCy+8gLy8PHz66adG67p3747u3bvzfz/99NMYOXIk2rZtiwULFuDAgQMVHnvevHl48cUXcf/+fURHR8PPzw8PHz7EypUr8dNPP0Gj0WD27NnYs2cPQkJCsHbtWvTo0YPf/+jRo1AqlXjyySf5ZePHj8fKlSuxc+dOTJ48GQDw/fffQ6PRmCS2APDKK69Y9DrYk1WJ1a5du/Dyyy9j/fr1to6nVnKGilllLwbbRfhAodYhs1BfYS/knzlsDHEeu5WBO4+KIRECSi1QotZi18UUfh4cSxgqBPZqEmiXu9uGi7yTd7KQVaCAQqODtkgBN5HI7EWmLRha4jaeuo8CuQb5cjXAARKRAH4eEuj+SZaigjwxd0A0tv6ZhJ0XUqBQa/gulzI3IbylIosuYr0kItzPLALAISLA3e6TrvaNDsa7w1vz4+2EQqHJBXSEvzsiAzzwqEABlUYHN5EAN9MKqj1PWVVY0nXWcKPieHwGXwmwdJEHaxMke7balL25YkjkRUIBgqUiiDgBBEJ91UswQAtAKOAgEnBm34OEzCJcTcmHWsuM5v4ylKQP95PhYZ4c2cUqNPCvvGplRd9l1E2QEFIZlUqFnJwco2VBQUEQCoWQyWRmx1EpFPrWeJms/O8nw7rIyEg+qQIAT09PDB06FFu3boVGo4FIJKrW41QkKSkJ9evXh5eXl9FyQ5fDpKSkcvctKirik0MAEAqFCAoK4mOxVbyvvfYaDhw4gP/9739o165dpds3adIEw4YNw65du6DVaist6lGvXj3Uq1eP/3v+/Pno378/+vfvj//85z84cuQIvv/+exw7dgxDhgxBYmIifH19AejHV3Xq1Mlo/+bNmyM2NhZxcXF8YhUXF4euXbuaVCoUiUQIDw+39KWwG6sSK47j0KFDB1vHUqs5umJW2YvBrCL92Kc2YW7ILFLxF/mGOBlj+OlSCgzTRGl0wO1HVWsJsve4McPd+L8f5oPjOLgJOCi1OriJmF0v9PtGByPC3x3nE3OQUaAExwHnE3NQqNAg1FvKF82ICtLPR5SQWYSryXkoUWkh4DhIREI0CvSo9G5/ck4Jcv6Z3FUoKF3n0L4MEwUnZBaZvYCOCvLE3IH6pPHsvWw0CfZEcq7cbq2E5lh6s8IwJu7Gw0IEeelb1QyJkLUJUk2Mhyx9Lui71N5BUrYcAiGDj1QET6kYxUo12D+fTwEY4tMLjd6DshNqX0jKRQN/d7PFZqpy06e87zLqJkiIY2lL8vHwa+M79vVf/gJC95od/1qR06dPo1+/fkbL7t+/j0aNGiE0NJTv+laaYVn9+vXLPa5hXemLcoPg4GCo1WoUFxfDx8cHoaGhOHbsGBgznlvSksexlzVr1hgVdmjYsCESExP5rnrlvS7+/v4Wt1YtW7YM69atw6pVq/Diiy9aHFtERARUKhWKi4vh7e1t8X5//vkndu7cievXrwMAtm3bhsWLF6Nbt27o1q0b1q9fj19++YVvedq/fz8mTZpkcpzx48dj1qxZSElJgVKpxJ9//slXcyxNIpGYjM9zBKsSq2HDhuHw4cOYNm2areMhNma4QAOMuyO2CfNBaq7hTrVpS0iEvzt83d2QJ/+3KoxGW7X+fDXVUucl1Y/fSsopgeyfsWBytc7uF3aXH+ThQU4J1Fotwv08+IqFZZOQl3pEYu/lhyhUqBHu747oEC+TMUtl7/Ybxo8lZ8vBoJ8HrFChqdGL1YpuBhiSxkf/XLBzgNmxWI6Kz8BQqCXYyw0ZhSoEeUn4c93aBMne57W5lp8RHSLww4VktKrvjQtJuf9M7MtBBwaVliGrWI0ChQa/Xkvj3wO+gEdDP76c/JNtQs2O77TFc6jJAjyEEPN08gJHh1Chdu3a4dChQ0bLQkJCAAAxMTE4efIkdDqd0QXy2bNn4e7ujmbNmpV73Pr16yMkJASpqakm6x4+fAipVMq3JMXExODrr7/GzZs3jUp/nz17ll9fkfJ6mzRs2BCHDx9GYWGhUauVYaLcstX5Shs/frxRwQxDK1RYWBiCgoJw4cIFk33OnTtXaawGhnm3Zs+ejfnz51u0j8G9e/cglUrh6Wn57wRjDDNnzsSsWbP4cWUPHz40Slrr16/Pv1/Xr1/HgwcPMGTIEJNjjR07Fq+//jq2bdsGuVwOsViMMWPGVOk51CSrEqvFixdj9OjRmDp1KqZNm4YGDRqYbR40lFus6xw17sDcxTrHcUYTrZ5P/LcUeGnJOSWQiYWQiDgoNfoNhAJYVTK0OmVGDcp7DQ2D8x8AaCERwt1NBLlaVyOVFR/klCCjQIGknBJcTc6Hr7sbHhUojGJMyCzCjvPJuJCUA62OQanVYVzXhuVWsTPc7b+Wqu++5SMTIa1AgWKlxuIJhqvL0vM1KsgTwd4SMB3QPNTTLnNtVVfp8yPQS4JJPSKNClhYmyDZswXaXMtP50j9+MeEzGLkFKtQqNRApdW3ZGr/6WLq6y42Sr5LJzqGcvL2fG+cocszIcS5+fn54fHHHze7buTIkdi5cyd27drFz6OUlZWFH374AUOHDjVqmUlISAAAo2IQY8aMwX//+18cOnQITzzxBL//nj178Nhjj/HJ2rBhwzBnzhysW7eOb/lgjOHLL79EWFiY0TgjcwxzI+Xl5fHd2ABg8ODB2LBhAz777DMsWLCAX7527VpwHGc0dqisxo0blztd0bPPPovNmzcjOTkZERERAIAjR47g9u3bmDNnDr+dWq1GQkIC3ypn8P3332PmzJl44YUX8NFHH5UbQ2ZmJoKCgoyWXblyBXv37sWTTz5ZpdagTZs2ITk52ajARL169XDr1i0MGDAAarUad+/e5ZPq/fv3o169emarDwYGBuLJJ5/E1q1boVAoMGjQILPVDJ2FVYmVYfbrS5cu4Ztvvil3u7paFbA0R447KHuBxnEc+jQz/tBcfpCH7GIVriTnmcSm/KcwgQAM7m5C6BiqNM7KVs+9ouOUvpgzVOrjOM7uLScR/u4QCzlkFqogAKADoNHpTApMJOeU4H52MYoVGqh1DFeT8/juWqUTmLJ3+9uE+eDmwwLc1Wjh4aYvIT+6U4Tdzx1zr7XheZRNtI7HZ+DwjQzklKjw5/1cxDbyc7pWisou9h3dRdcccy0/huex9c8kxKcXwk0ogFKjBXSASKBv0RQJBUbJtyMSHWd8PQkhrmHkyJHo2rUrJk2ahBs3biAwMBDr1q2DVqs1mf+of//+AIDExER+2YIFC7Bjxw48++yzeP311+Hj44Mvv/wSarUaK1as4LcLDw/H7NmzsXr1aqjVasTGxuKnn37CyZMnERcXV+k4oo4dOwIAZs6ciYEDB0IoFGLs2LEYOnQo+vXrh0WLFiExMRHt2rXDwYMHsWfPHsyePbvKFQENFi5ciB9++AH9+vXDrFmzUFRUhNWrV6NNmzZGXedSU1PRokULTJgwAZs2bQKgb9UaP348AgIC0L9/f8TFxRkdu3v37nxCN2bMGMhkMnTv3h3BwcG4ceMGNmzYAHd3d6xatcrieAsLC7Fw4UKsWLHCqOVu5MiRWL58OXQ6HU6dOgWFQoHBgwcD0I+vevLJJ8ttDRw/fjyfbL/zzjsWx+IIViVWb7/9dqUD74meI8cdVNY1x9DqEujpZrb8d4iPFI0C3HEuMRdKjRZiAYfbj4qx/1oaXnusaaWPb6vnbkkFuOScEqMCBfaaHLj0Y07qEYk1xbdwO70I2n/mffKSikwKPQg5DnKNDhzwT8EQpdkEpuxFcFq+AukFCrSq7430AqXFn7nqtJCWfa3PJ+bwyXfZpPZ4fCYKlWo09JfhYZ4SEpHj+zabU97FvrNWsCsvIYoK8oSfuxuKlRpotPpi6wIBBw+JELGR/gj3c0ezel4mx3Km50YIIeURCoXYv38/3njjDXzyySeQy+WIjY3Fpk2bEB0dXen+9erVwx9//IF58+Zh7dq1UKvV6NatG7Zu3WpSqGHVqlXw8/PD+vXrsWnTJjRt2hRbt27F888/X+njjBgxAq+99hq2b9+OrVu3gjGGsWPHQiAQYO/evXj77bfx/fffY+PGjWjUqBFWr16NuXPnWv26RERE4Pfff8frr7+Ot956C25ubhgyZAg+/PDDSsdX3bhxAyqVCpmZmXjppZdM1m/cuJFPrIYPH464uDh89NFHKCgoQFBQEEaMGIElS5aYFIqoyDvvvIPw8HBMnDjRaPmyZcuQmZmJZcuWISQkBDt37kRQUBDy8/Nx+vTpCismDh06FH5+ftDpdHj66actjsUROGaLflq1TEFBAXx8fJCfn1+lgXrmVKUFwB7KK0AA6Fsclv98A4UKDbykIrw9tCU/F1HpuNPy5EjKLoZWx6BjQJtwH6x6tm2lsddEi5Vh/fKf/+YLFPi6u2FanyiT1jl72HbuAb4+eQ+if7pkvdy7McbGGk+M/cmRO/jqZALA9OXh3xgUjRBvKeLOPuATmHFdG5rEa83rV93X3LR6pC+O3sowiTMhswjzf7yCa8n50DEGsUiIRgHuCPqnu11NzmlVGXMJlKtWsPvkyB2sO3YHKq3+sxjsKUa+Qot6XhK+xap05UNXZMvv39qEXpe6xZoJgrUl+Uj59AWjZeGvxVlcvCJxlen4FkLsbceOHXjhhReQlZXFz1VVlkajQf369TF06NAKe8rZk6XfwVa1WJWVn58PT0/PSptP66Kyd5/LtqzY+wKosjvW5ioDlo7bUPnu0I10vnVLLBRY1Ppkq65IlR2nogIF9hbqIwVjQE6xhi9bX1bbcB/4yNxQoFBD5iZEiLfU4nLhVX39qttKWPYxAeBKcp5JnOfu5yAtTwEPqQhFCg08xEJwAG48LMTGU/edphWovATKVSrYlU0Kg7zc4C0TQ6XRoUChQW6JGjpwUGq0yClRIcjLDfGPCmu0QiMhhBBiLV9fX3zyySflJlUA8NNPPyEzMxPjx4+vwcisY3VideHCBfznP//BiRMnoFKpcPDgQTz22GPIysrC5MmTMWfOHPTt29eGobouQ3JTUelnRzAM7C+vMiDw7xgsiUiAel5SeEpF5W5rjq26Ipk7TumKh+UVKLCnhMwiHI/PADigbbg35BVMsBrkKUG4rxRKjb68q6VJU1VfP1tUZiv7mObjZFBrdVCqtNDpGOQaLdLyFQjxkTpVEYvSCdSFpFzsv5aGwW1CXaKCnbmksHNkADo19EdagQJFCjVScuWQq3V4VKgCB+BiUi48JGLsL1UdkBBCCHFWAwYMKHfd2bNncfXqVbzzzjto3749+vTpU4ORWceqxOr06dN47LHHEBYWhnHjxuHrr7/m1wUGBiI/Px/r16+nxKoMR7asmGNJS1B2sQohXhJcSc6FRCSEj0yMQa1DHH7BVlnFw5p4/A9/i8eFpBwUKTQoVmgQHeqFh3lys/Nn5cvVfJdLVmoSYUuLgFjaddQeBQvMxdk5MgDBXlLElxRCJOKg0wHenmL4urtVKfG2N0MCdSEpF+n5CpxJyEZqrtzsmDZnY65VrU+zIMwdGM1P4r3zr2S4CTmotQwiAaBjgEjI4W5G1eacI4QQQpzNF198ga1btyImJoYvyOHsrEqsFi5ciBYtWuDPP/9EYWGhUWIFAP369cPmzZttEmBtUlHpZ0ep6OKevyh9kIsCuRpSN4aCDH0p8JoaQ1NeUmFJxUN7Ss4pQVqBAp4SEcRCgb5AhUqLo7cyzFZYLK/LZWWsGQtUEwULooI8MaBVCFJy5VCoNVDptFBrdegWFYDBdi7rXRWGRHP/tTScSchGp4Z+RkmKs8RpTnmtaqVbDTU6/TxWACASCsAYnLaICCGEEFIVmzZtcpmEysCqX+Dz589j0qRJkEgkZi8Sw8LCkJ6eXu3gahvDRd7TMfUxqLW+O5IjGbqyJWQWmV1viLdFiDe0OoaCEn2ry8+XU7Ht3INy97NlfF+duIe4sw/w1Yl7Ro/n6K5cEf7uCPWWQqHRV2er5yOFWChAixAvZBerkJIrN9q2gb87MotUEAu5Ks3rVTqBLHtcRxvSNhTh/jKotQxaHZBRqMSJ25mODstEVJAnBrcJRQN/d6fv+lf682j4/I3r2tAooTZ8Lq6k5MPdTYjm9TwR4iVBhwa+aBLsCalYiCbBnnavjEkIIYQQY1a1WInFYuh0unLXp6amVmmG5rqmormjaoqlLSFRQZ5oFOgBgIMODGBAcq4cX5+8h5N3MjF3QLRdJ0otrxy8oycjjQryxNyB0TifmAMACPGW4sD1dJMLd0OLW7sIH6Tly6HWMhy4nm5xcQdHJ5AViQryRKeG/ohPKwADoNMx5PyT/DlbS5C5ohzH4zOcvsiGudZHQ7LdOtQbjwoUEAg4uEtEKFHpkFeihptYgBKlFsk5JU7x3AghhJC6wqrEqmvXrti5cydmz55tsq64uBgbN250iQFmjuAs1ciqEkeQlxukYgE0Si0YALlah4wCBYoUGruP40jPV+DOoyKjsUkGjp6jp+zjR/i7GyV6pS+WVRot1Fpm1BXNkthrKoG0dk6n6BBPeMnEkKu00OoY/J0s+SutdBEZZyu1XpXPoyHZTi9UIibcF2qdDtdTCiAWcihUqOHOhLhdqMKag7eQlq9A50gqYkEIIYTUBKsSq2XLlqFPnz4YMmQInnvuOQDAlStXcO/ePaxZswaZmZlYvHixTQOtLZylBaKyOEpfaAOAjjGUTmuKlFqoNPrJbu3J2rFJjlA20SpbkU4s5Kx63+2dQFYn0egcGYCukQG4n10MTzcRXu3XxOkv4p3l5kZpVfleKJ1sP8wrwceH7iCzSIn0AkAkAIpVGggEHG6nF2HLmUSHtowTQgghdYlViVWXLl2wf/9+vPLKK3xNecOs0lFRUdi/fz/atm1ruyhrEUd3YQP+TZrKq6RX+kJbLOCQWaSEVmfcWsSgT7bsyZJy8M6s9MVyA3/3Gq9caKnqJBpRQZ4YHRuBa6n5aBPm41QTA1dEpdHiQlKu05xXlnwvlG1VjAryxCdH7qBYpYFEJIBGq4NEKIBCqwPTAVrG4C0V8WPznOmcI4Q4H0snJaaJhAkpn9XzWD322GOIj4/H5cuXcefOHeh0OkRFRaFjx45O37JQU8rrXuXILmyWtE6UvtA+eTcLSrUWfu5uSCv4t3VKyAHeMjGCvCR2i9UZktDKJGQW4dz9bACcSZcrV4gfqF4rakJmEQ5cT0d2sQqpZQp2OOPzNcSr1jKIhZxTTB1gUPZ7oWyrsfnPLYNSo4Vaq69E5O4uhkirhVDAoVipRYFCg0aBnk6RPBJC7IsTSeDT4zmTZYSQmmN1YmUQExODmJgYG4RSuxgSmAc5JRALOUzqEekUd/PLa50ofRFX+kI71FsKcABjQFaREup/apa4iQRoHeZj98pjjh5HVRHDXFaXU/LAAWgX4WtSzMOZ4zeoTgJYusDIleQ8/P0wH15SMRr4uztl9zPD+W8Y6+asN4HK3gBpF+Fr8rkFgJN3MgHGQcTpu+pKxAK4iQXwlooQ6CXB4DahNFEwIXWEwE0K354vODoMQuq0aidWxDzDBWd+iQoZhSpsPHXfKe7im2udMNeKVfpCOzmnBHuvPERuiQr5cjW0OgaRgEOnOn7BZpjLSirSzx+UmFWM/dfSnGoeJ0tVJwFMz1fgZloBihVqgOPgLRVBodY6Zfez8s5/awp32NO5+zm4/agQrep7I71ACY6DSdzJOSUoUmohFQugUGvBGCAScOAEHLo2DsALXRs6zfMhhBBC6gJKrOwkwt8dYiGHjEIVgrzcoNYyp7jQNNc6cTw+w+RuuGHyVEPXqfR8BTRaBq2OwU3Iwd1NZNdugK7AMJfVowIFNFod1DqGMwnZSM2V8601znjRbktp+QpIxAL4ysTILVEDYMgqVkPLiqs0X1dNMVd23dkqBCZkFuHk7UykFyjwqECBdhG+iG3kj9hG/iatipEBHnhUoIBcpYWOAYnZJRAJOFxLzQPQ0KHPgxBCCKlrrJogmFQuKsgTk3pEomV9L/i6uznNIHlAH5shcQIqHmNTuutUhL87GgV4oJ6PDA0C3BHiLXXUU3AKhrmsZvZvip5Ng+AlFSEqyIMvFlDRBMe1gSEByJer8ahQAQ76LxQOgFQscNpudqXPf2ecgDk5pwRqHUP/6GAEe0vR+59Yy35uDeffsJgw1PeVwVOqv0+mA8OdR0X8HGukaoqKirBkyRIMGjQI/v7+4DgOmzZtMtlu4sSJ4DjO5F/z5s1NttXpdPjggw8QGRkJqVSKtm3bYtu2bTXwbAghhNQkarGyo77RwSZzGzmjisbYlE66okO8UN9Xil+uPEROsQo7zifX2pYYSxme+4l4fYJx9FYG2kX48l21nK2sty2VTgBO3ctGVqESJSoNOOgrHzrLjYSKOMv0B+ZiSi9UIrqeV4XjGKOCPDGua0M8ylfgxJ1MMOjHQyrU9p8KobbKysrC8uXL0aBBA7Rr1w7Hjx8vd1uJRIKvv/7aaJmPj4/JdosWLcKqVaswZcoUxMbGYs+ePXj++efBcRzGjh1r66dACCHEQSixsjNXKF4AlB9n2TlzNv5xH4nZJXATCVBYAxMEu4LSCcb1tAK+hQEwHRdTm5ROADo38v8n6U6DXK0FwCE5p8Tpzw1nrNxY1ZgMLVdqnQ5/3MmCRCSARCSs8111rRUaGoq0tDSEhITgwoULiI2NLXdbkUiEcePGVXi81NRUfPjhh3j11Vfx2WefAQBefvll9OnTB2+88QZGjRoFoVBo0+dACCHEMSixIpUyXNh9+8c9PMxXQMcAtUYHrcj5xtA4QnktDM540W5LZZ9fck4J/ryXg/wSFRKzSpymYEtlnPHmhzUxiQUCeEnF0OoYmodW3NJFyieRSBASEmLx9lqtFsXFxfD29ja7fs+ePVCr1Zg+fTq/jOM4vPLKK3j++edx5swZ9OzZs9pxE6KVF+JR3HyjZfVeeB9CmZeDIiKk7rEosRIIrBsvodVqq7wPcT4JmUXYdzUNGQVKyMQCyFVaiMRCtA7zpos3VJxAOeNFuy2VfX5qrQ4peXIEejpPwZa6wNBq2jXSH3+nFaDxP+PHANDrb0clJSXw9vZGSUkJ/Pz88Nxzz+H999+Hp+e/r/mlS5fg4eGBFi1aGO3buXNnfr25xEqpVEKp/Lc7Z0FBgZ2eBak1mA7q7AcmywghNceixOrtt982Sax2796Nv//+GwMHDkR0dDQA4NatWzh48CBat26N4cOH2zzY2sDVqsQZ5mq69agQD/Pk0Gp1EAg4hPlKMalHpEs8h5pQ2xMoS8nEQogEHIoUWkSHiGtd90dnFeHvDrGAw4UHudBodTh04xHi0wuddj6x2iA0NBRvvvkmOnToAJ1OhwMHDmDdunW4cuUKjh8/DpFI//OalpaGevXqmfyGhoaGAgAePnxo9vgrV67EsmXL7PskCCGE2JRFidXSpUuN/t6wYQMyMjJw/fp1PqkyuHnzJh577DHUr1/fZkHWFubmi3L2C55z97NxOSUPOh2DRquDu5sQXlIxPCVip636RmpWQmYRzt3PRnx6ETQ6hh5Rgfg7rQAtQr2d/vyuLaKCPNGrWRDSCxTwdRfjWkoBgjzd+EqH9D7Y3sqVK43+Hjt2LJo1a4ZFixZh586dfFEKuVwOicR0vJtUKuXXm7NgwQK8/vrr/N8FBQWIiIiwVfiEEELswKpy66tXr8aMGTNMkioAaNGiBWbMmIEPPvig2sHVNs5Y2rlyHDgAQgEHkYCDgOOg1uogFHBOOU+Rs0jILMLx+IxaV2K9LEOL5qdH72L/tYdIyCzCHwlZyCtR4XxiTq1//s6kc6Q/mtXzgkKtg5dUhMwiVa0smuLM5syZA4FAgMOHD/PLZDKZUZc+A4VCwa83RyKRwNvb2+gfIYQQ52ZV8YqUlBSIxeJy14vFYqSkpFgdVG3ljKWdK9M50h/tInyRmFUMPw83hHpLkZRdAq2O4cD1dJfp0liTXLFlsiIVdV9NzilBWoECUpEATCiAQq2FXKWFWMjh79R8qhpZw9pF+CCmgS9CvKXgOK5WFk1xZjKZDAEBAcjJ+XcOsdDQUBw7dgyMMaNW/rS0NACg3h2EEFKLWNVi1bp1a6xbtw6pqakm61JSUrBu3Tq0adOm2sHVNoYiB+O6NnSZi+2oIE+M7hSBIC8JxAIBLj3Iw8N8OfJLVHiQU+IirW72V7qFyjVbJs2rbJLjCH93hHpLodDoUKzSQKtjUGp0KFRokVOsxvfnH+B4fIaDoq87DO/T0VuZuPwgDxH+7kaTCZOaUVhYiKysLAQFBfHLYmJiUFJSgps3bxpte/bsWX49IYSQ2sGqxGrt2rXIyMhAs2bNMG7cOCxduhRLly7FCy+8gOjoaGRkZOCjjz6yday1QlSQp0te8LiJhPBzFyNfoYZWx5CSp4Baq3OJVjd7K5t8ALVn/qrKkkTDHErPdW6AhgEeEAg4MAYIOYABuJVWiOU/36Dkys5qUzLvChQKBQoLC02Wv/POO2CMYdCgQfyyYcOGQSwWY926dfwyxhi+/PJLhIWFoXv37jUSMyGEEPuzqitgz549cfbsWSxevBi7d+/mB9/KZDIMHDgQy5YtoxYrF1a265ehC+OVlDyIhQJ4SoTQ6pjRRLh1WemL2pvpheA4rtbMX2VJ99WoIE+0CfPB1ZR8eLmJ8KggE5p/ht8Fe7mhUKHB9dR89I0OruHo6w5X7GbszD777DPk5eXxFft+/vlnvnv7a6+9htzcXLRv3x7PPfccmjdvDgD47bffsH//fgwaNAjDhg3jjxUeHo7Zs2dj9erVUKvViI2NxU8//YSTJ08iLi6OJgcmhJBaxOoJglu3bo3du3dDp9MhMzMTABAUFASBwKpGMOIkyhsfNKV3Y5xPzMGv19JQqNAgxEeKwW1CHR2uUzB3UVtbyq9bMslxQmYR0vLlEAs5pOQq4CbkIBAACjVDRqEKAZ4StA7zcUD0dUdtn4y6pq1ZswZJSUn837t27cKuXbsAAOPGjYOvry+eeuopHDp0CJs3b4ZWq0WTJk2wYsUKzJs3z+R3cNWqVfDz88P69euxadMmNG3aFFu3bsXzzz9fo8+LEEKIfVmdWBkIBAJIpVJ4enpSUlULlG19MZRqNvyLbeRPF29l1PaL2oqSxNKJuFjAoUWoN3KKVBAJOTzKV4AD4CsTIcLfvWaDroNqSzLvDBITEyvdZsuWLRYfTyAQYMGCBViwYEE1oiKEEOLsrM6ELly4gEGDBsHd3R0BAQH4/fffAQBZWVkYNmwYjh8/bqsYiQ1VVga8si5FrjpGzF4MryeAOvm6lE7E1TqGyEAPBHlJkFeihpYBWh1DQmYx9l9Lc3SohBBCCCF2ZVWL1enTp/HYY48hLCwM48aNw9dff82vCwwMRH5+PtavX4++ffvaKk5iA5aUAa/trS+2VNvKqlujdCIuFnA4cTsDSdnFKFFpwQBodAwiALnFKkeHSgghhBBiV1a1WC1cuBAtWrTAjRs3sGLFCpP1/fr140vJEudhaeUwapWyTHUrsZVtPXTFSYVLTyHQPNQb9zKLodToAAAcAB0DJGIhmtajc4kQQgghtZtVLVbnz5/HypUrIZFIUFRkehEYFhaG9PT0agdHbKu2VA6raMLamlSd17Nsa9eg1iE4cD3dJVu/DGN7HuaVQCjgIBZw0OgYxAJ9yXWhgMOv19PROTLAZZ6Tq3GWzwQhhBBSl1mVWInFYuh0unLXp6amwtOTftydTW3o5udM3e+q83qWLRJyLTXfbNEQV9I5MgCdGvrjfnYxSpQa5MvVyJdrUCBX49y9HOy/lobXHmvq6DBrHWf6TBBCHIcTiuHZfojJMkJIzbEqseratSt27tyJ2bNnm6wrLi7Gxo0b0adPn+rGRuzA1SuHlVe10FGsfT3Ltna1CfNBaq7cpVsTDZMFn0/MQdyfSXiYLweDvjugWqvDtZQ8JGQWufT554yc7TNBCHEMgcQdAQNecXQYhNRpViVWy5YtQ58+fTBkyBA899xzAIArV67g3r17WLNmDTIzM7F48WKbBupqqGuOfdSW7ozmWrsi/N1dujUR0D+vc/dz8KhAX2od0HcHBIDkXDm+OnGPWlRsrLZ8JgghhBBXZ1Xxii5dumD//v24e/cuxo8fDwCYO3cupk6dCq1Wi/3796Nt27ZWBaRUKjF//nzUr18fMpkMXbp0waFDhyza9/Dhw+jXrx8CAwPh6+uLzp07V2muEVsxdM2JO/sAX52451LFCJydISHp3yIY7SJ8HR1OtZQtElIbioYkZBYhPr0QSo0OIoEAHACZWACJWIhmwZ5WFfkgFStdQISSVkIIIcRxrJ4g+LHHHkN8fDwuX76MO3fuQKfTISoqCh07dgTHcZUfoBwTJ07kuxk2bdoUmzZtwuDBg3Hs2DH07Nmz3P327t2L4cOHo1u3bli6dCk4jsOOHTswfvx4ZGVlYc6cOVbHVFXUNcf+Lj/IQ3axCleS8+hi0kkYbihcSc5DkUID7T9NVXK1DgIA1x8WILaRP7Wo2IGrd/ElpK5o9NY+R4dACLEjqxMrg5iYGMTExNggFODcuXPYvn07Vq9ejXnz5gEAxo8fj9atW+PNN9/E6dOny933s88+Q2hoKI4ePQqJRAIAmDZtGpo3b45NmzbVaGJFXXPsixJX52R4X3xkInAAJCIOSg3Tl10HoFBpMah1CL1XhBBCCKmVrOoKKBAIEBoaihMnTphdHxcXB6FQWOXj7ty5E0KhEFOnTuWXSaVSTJ48GWfOnEFycnK5+xYUFMDPz49PqgBAJBIhMDAQMlnNJjbUNce+yiaujDGXm/+pNjK8L/lyDcABao2+ycowxkql1SG9QOG4AAkhhBBC7MjqFiuFQoHHH38cq1evxqxZs2wSzKVLl9CsWTN4e3sbLe/cuTMA4PLly4iIiDC7b9++ffH+++9j8eLFmDBhAjiOw3fffYcLFy5gx44dNomvqhhjlW9Eqqx04QfGmMvO/2QpVymEYnhf9l9Lw/5rgE6rw52MYhgmZiiQq/HrtTTENvJ36udBCCGuSKcoQsaud42WBY/4DwRS+r4lpKZYnVh9/PHHOHfuHObMmYMLFy7gq6++glQqrVYwaWlpCA0NNVluWPbw4cNy9128eDHu37+P9957D+++q/9icXd3x48//ohhw4ZV+LhKpRJKpZL/u6CgwJrweTSvjP0ZxpQcj8+o1d0CXe1cigryxOA2oUjNlSP+USG8ZCKoNTooNTrI3IQoVGhq3XtECCHOgOm0UCZfN1lGCKk5VnUFBPSTBH/++efYtGkTdu3ahR49euDBgwfVCkYulxt15TMwJGxyefnVxCQSCZo1a4aRI0di27Zt2Lp1Kzp16oRx48bhzz//rPBxV65cCR8fH/5fea1ilio9BoiqoNmXq49nS8gsqrAboyueS4aWqzGxEWhazxNaxqBjQKFSC5VG5/TvUWXvCSGEEEKIOdUuXjF+/Hi0bdsWzz77LDp27Ijt27dbfSyZTGbUcmSgUCj49eWZMWMG/vzzT1y8eBECgT5fHD16NFq1aoVZs2bh7Nmz5e67YMECvP766/zfBQUF1UquXP1i35WYmw/KVVjSGuUs51JVuyMaWhQZAx7lK5FRqIBGy5CeL0dyTkmNv0+Wxu9qLYSEEEIIcR7VTqwAfWXAv/76C88//zwGDRqEXr16WXWc0NBQpKammixPS0sDANSvX9/sfiqVCt988w3efPNNPqkC9K1qTz75JD777DOoVCq4ubmZ3V8ikZhtKbOWK1/suyJXLTWdnFOCBzklCPR0w4OcErNd5JzhXKpOstE50h8b/xBCowO8JELoGHA9NR99o4PtHPW/qhI/VZwkhFiDyqgTQoBqdAUsy9fXF/v27cPChQvx+++/W3WMmJgY3L5922SMk6G1qbyy7tnZ2dBoNNBqTfsSq9Vq6HQ6s+vsqTZM9krsLz1fgTMJOUjPV5Rb7MTR51J1uyN6u4sg4vTzWblLRGgd5mOnSE0lZBZh39U0PMgpsSh+Z2khJIQQQojrsSqxun//PoYPH26ynOM4LFu2DFeuXMHRo0erfNyRI0dCq9Viw4YN/DKlUomNGzeiS5cufPe8Bw8e4NatW/w2wcHB8PX1xe7du6FSqfjlRUVF+Pnnn9G8efMaL7lOiCVCfKToHuWPEB9ptSbWtqfqJBvJOSVwEwoR08AXwT5SjImNqLHWKkNL1Z/3spGer8CFpNxK46epEgghhBBiLau6AjZs2LDC9a1bt7YqmC5dumDUqFFYsGABMjIy0KRJE2zevBmJiYn45ptv+O3Gjx+P33//nb/DLxQKMW/ePPznP/9B165dMX78eGi1WnzzzTdISUnB1q1brYqHEHuK8HdHA393ZBer0MDf3WlbR8qWt0/OKeGXWyI9X4FChQZeUhHa1GBrlaGlrVNDP1xIykX3qAA82Sa00rhdtWspIYQQQhzLosRq+fLl4DgOixYtgkAgwPLlyyvdh+M4LF68uMoB/e9//8PixYuxZcsW5Obmom3btvjll1/Qu3fvCvdbtGgRIiMj8d///hfLli2DUqlE27ZtsXPnTjz77LNVjoMQe3OG8VOWMsRmzVirEB8p2oS5IbNIVaOtcqVb2hr4u1uUVBFCCCGEWItjFsxiKxAIwHEc5HI53NzcjApElHtgjqvxcU22UlBQAB8fH+Tn55tMVmyJ4/EZuJqSj7bhPjU6SJ84jqHqnIGzT+ZrUJVqf8fjMxB39gFf2GFc14bo0yyo0uM7sspeQmaRSySu5F/V/f6treh1cW7OULxCW5KPlE9fMFoW/lochO627SmQuGqITY9HiCuw9DvYohYrnU5X4d/kX8fjM7D85xt81ycAlFzVcobk4UFOCdLzFQjxkaKBv7vNkoiqljqvynGrkvRYM9YqKsgTg1qH4FpqPtqE+dR4ckPd+gghxLYsTSIpASN1kU3KrZN/XU3JR6FCg0YBMiRmy2u8tDSpeYaxPIGebrjzqAhtwtz46nPVvai3Z4tPVUuLW9N1MSGzCAeupyO7WIXUXLnLtOQRQgghhFSVzcqtE7224T7wkoqQmC2Hl7RmS0sTxzC05GQVqeAlFSGzSGWzUt3VLXVeEWtboKpS+t2e8RNCCCGEOBOLWqwiIyOrPOic4zgkJCRYFZQrM7ROXU/NR+swGmNVF5StmsdxnM3G9NhzXqWaKJ5B80IRQgghpK6wKLHq06eP086x44z6RgdTQlXH2Gssj72TH3uPQXKlyoeEEEIIIdVhUWK1adMmO4dBCClPbSjAYEHxUUIIIdXACUVwj+5hsowQUnNojBUhxG4SMovw4cF4fHLkDj48GI+EzCJHh0RIhYqKirBkyRIMGjQI/v7+4Diu3JuLN2/exKBBg+Dp6Ql/f3+8+OKLyMzMNNlOp9Phgw8+QGRkJKRSKdq2bYtt27bZ+ZmQukYg8UDQ8AVG/wQSD0eHRUidUq1bGWq1Grdu3UJ+fr7ZEuyVTepbW9mrPLatuUqcxDWYO5/O3c/BleQ8uAkFeFSgwPnEHKc61+gzQMrKysrC8uXL0aBBA7Rr1w7Hjx83u11KSgp69+4NHx8frFixAkVFRVizZg2uXbuGc+fOwc3Njd920aJFWLVqFaZMmYLY2Fjs2bMHzz//PDiOw9ixY2vomRFCCLE3qxIrnU6HBQsWYN26dSgpKSl3O1edILg6HD0hqqVcJU7iGso/nxgYAI4DnK0zoDN/Bijhc5zQ0FCkpaUhJCQEFy5cQGxsrNntVqxYgeLiYvz1119o0KABAKBz58544oknsGnTJkydOhUAkJqaig8//BCvvvoqPvvsMwDAyy+/jD59+uCNN97AqFGjIBQKa+bJEUIIsSurugKuWLECq1evxrhx4/C///0PjDGsWrUKX375Jdq2bYt27drht99+s3WsLiE5pwQPckogEwvwIKfEactL15Yy2AmZRTgen0FdzBysvPOpc2QAYsJ94ePuhphwX8Q28ndwpP9y1s+AIeGLO/sAX524R+d2DZNIJAgJCal0ux9//BFPPfUUn1QBwOOPP45mzZphx44d/LI9e/ZArVZj+vTp/DKO4/DKK68gJSUFZ86cse0TIIQQ4jBWJVabNm3C6NGj8cUXX2DQoEEAgI4dO2LKlCk4e/YsOI7D0aNHbRqoK0nPV+BMQg7S8xVOO2i/NpTBpgtQ51He+RQV5Im5A6Mx+/FmmDsw2qlaX5z1M+CsCR/5V2pqKjIyMtCpUyeTdZ07d8alS5f4vy9dugQPDw+0aNHCZDvDekIIIbWDVV0BU1JS8OabbwLQ390DAIVCAQBwc3PDuHHj8NFHH2HFihU2CtO1hPhI0SbMDZlFKqctU18bymCXvgC9mV6IlFy5Sz6P2qCi88lZqxo662fAWRM+8q+0tDQA+m6DZYWGhiInJwdKpRISiQRpaWmoV6+eyW+BYd+HDx+afQylUgmlUsn/XVBQYKvwCSGE2IlViVVAQACKivStA56envD29sa9e/eMtsnNza1+dC4owt8dvjIxHuTKEeotdeqLIme94LUUXYA6F2c9nyoar+SMMTtrwkf+JZfrWxENNxZLk0ql/DYSiYT/b0XbmbNy5UosW7bMViGTOkCnLEb2r58YLQt4ciZVBiSkBlmVWLVv3x7nz5/n/+7Xrx8+/vhjtG/fHjqdDp988gnatWtnsyBdDgdw//yX2A9dgDoPZy22YOgu+iCnBGIhh0k9Il1i8m5nTPjIv2Qy/U2c0i1KBobeG4ZtZDKZRduVtWDBArz++uv83wUFBYiIiKhe4KRWY1oNSuJPGS3zHzC9nK0JIfZg1RirqVOnGnVTeO+995CXl4fevXujT58+KCgowIcffmjTQF1Fck4J1FqGnk0CodYyGh9hZ1FBnujTLIguQh3Imce6GYrJ5JeocONhITaeuu9U8RHXZOjGZ+gSWFpaWhr8/f35VqrQ0FCkp6ebjLc17Fu/fn2zjyGRSODt7W30jxBCiHOzKrF6+umnsWvXLv6Ho2XLlkhISMCuXbuwd+9e3LlzB127drVpoK6CuqeRusJQkfHc/RynLbYQ4e8OsZBDRqEKQV5udLOD2ERYWBiCgoJw4cIFk3Xnzp1DTEwM/3dMTAxKSkpw8+ZNo+3Onj3LryeEEFI7WJVYmePj44Nhw4bhqaeegr+/85RUrmmG7mnjujZ0qnlxCLGl0q1UJ29nQizknPJmQlSQJyb1iETL+l7wdXdDA393p4qPuK5nn30Wv/zyC5KTk/llR44cwe3btzFq1Ch+2bBhwyAWi7Fu3Tp+GWMMX375JcLCwtC9e/cajZsQQoj9WDXGykCtViM1NRW5ublmy4p36NChOod3WTQ+gtR2ZSsy9m+hH7fkjLML9I0ORoS/O43FIxb77LPPkJeXx1fs+/nnn5GSkgIAeO211+Dj44OFCxfihx9+QL9+/TBr1iwUFRVh9erVaNOmDSZNmsQfKzw8HLNnz8bq1auhVqsRGxuLn376CSdPnkRcXBxNDkwIIbWIVYlVXl4e5s2bh7i4OKhUKpP1jDFwHAetVlvtAAkhzqdsl9cQbykOXE9HdrEKV5LznK611llvdti76IezFhVxdmvWrEFSUhL/965du7Br1y4AwLhx4+Dj44OIiAj8/vvveP311/HWW2/Bzc0NQ4YMwYcffmhSBXDVqlXw8/PD+vXrsWnTJjRt2hRbt27F888/X6PPixBCiH1ZlVhNnDgRP//8M8aOHYsuXbrAx8fH1nERQpxY2YqMNKdY1Rm6U2YXqxDg4WbzZNTex6/NEhMTLdquVatW+O233yrdTiAQYMGCBViwYEE1IyOEEOLMrEqsDh48iJkzZ2Lt2rW2jocQ4iLKtgJR0ZaqsXcySskuIYQQUrOsniC4SZMmto6FEOKiaE6xqrN3BVGqUEoIIYTULKsSq6lTp2L79u145ZVXIBDYrLAgIcSFOes4Jmdl72SUkl1CCCGkZlmVWC1evBhKpRKdOnXCiy++iPDwcLOVjUaMGFHtAAkhpLaydzJKyS4hhBBSc6xKrFJTU3H06FFcvnwZly9fNrsNVQUkhBBCCCGE1BVWJVYvvfQSLl68iAULFlBVQEIIqSYqi04IIYS4PqsSqz/++APz58/HsmXLbB0PIYRYxVWTEyqLTgghhNQOViVWISEh8Pf3t3UshJAKuGriUBNcOTmhsuiEEFvgBEJIIlqbLCOE1ByrEqu5c+fiiy++wOTJk+HpSRcAhNibsycOjk76XDk5obLohBBbEEg9EfL8KkeHQUidZlVipVAoIBaL0aRJE4wePRoREREmVQE5jsOcOXNsEiQhdZ0zJw7OkPS5cnJiq7Lojk5uCSGEkLrOqsRq3rx5/P9/9tlnZrehxIoQ23HmxMEZkj5Xn7OpumXRnSG5JYQQQuo6qxKr+/fv2zqOWoXuHJOqOB6fgasp+Wgb7oO+0cFmt3HmxMFZkr66PGeTMyS3hNRGjd7a5+gQCCEupMqJlVwux3//+1/069cPQ4cOtUdMLo3uHDsXZ09yj8dnYPnPN1Co0MBLqv84VpRcOeNzcOakrzaw5Bx2luSWEEIIqcuqnFjJZDKsX78eLVu2tEc8Lo/uHDsPV0hyr6bko1ChQaMAGRKz5bieml9uYuXMnDXpc3WWnsOU3BJCCCGOZ1VXwI4dO+L69eu2jqVWoDvHzsMVkty24T7wkoqQmC2Hl1SE1mGuO9m2s7cOAq4RY2lVOYcpuSWkbtMpS5D7+2ajZX59JkAgcXdQRITUPVYlVh9//DEGDx6M1q1bY+LEiRCJrDpMrUR3jp2HKyS5htap66n5aB1mfoyVsyUD5uJxhdZBV4ixLFc4hwkhzoFp1Si6ZDwmzLfn8w6KhpC6yaqMaOLEiRAIBJg2bRpmzpyJsLAwyGTGP/gcx+HKlSs2CdLV0J1j5+AqSW7f6OByu/85WzJQXjyu0DroCjGW5SrnMCGEEEKsTKz8/f0REBCA6OhoW8dDiE25epLrbMlAefG4QsuKK8Rojqufw4QQQkhdYVVidfz4cRuHQQgxx9mSgfLicYWWFVeIkRBCagtLS9Unrhpi50gIqTk0OIq4HGcbc2RPzpYMVBSPK7SsuEKMhBBCCHFNVidWWq0WW7duxb59+5CUlAQAaNiwIZ566im88MILEAqFNguSEANnG3NkCUsSwYq2cbZkwNniIYQQQghxBgJrdsrPz0ePHj3w0ksv4eDBg1Cr1VCr1Th06BAmTZqEnj17oqCgwNaxEmI0xie7WIWUXLmjQ6qQIRGMO/sAX524h4TMIqu2IYQQQgghzs2qxGrRokX466+/8OmnnyIzMxMXL17ExYsXkZGRgc8++wwXLlzAokWLbB0rIU435qgyliSCrpYsEkIIIYQQU1Z1Bdy9ezemT5+O6dOnGy0Xi8V45ZVXcPPmTezcuROffvqpTYIkxMDZxhxVxpJE0NWSReIc6tJYQ0IIIcQVWJVYZWdnV1hqvXnz5sjJybE6KEIq4kpjfCxJBF0tWSSO54pjDQkhhJDazqqugE2aNMHevXvLXb93715ERUVZHRQhtUlUkCf6NAuq8MLXkm0IMaDuo4QQQojzsarFavr06ZgxYwYGDx6M2bNno1mzZgCA+Ph4fPLJJzh06BA+++wzmwZKCCFEj7qPElI9ls6xRAghVWF1YpWRkYFVq1bht99+M1onFovx9ttv45VXXrFJgK6OxkGQqqDzpW6q6vtO3Ucd7/jx4+jXr5/ZdWfOnEHXrl35v0+fPo0333wTFy9ehLe3N0aPHo0VK1bA05PeN0IsSXJpEmHiKqyex2rp0qWYMWMGDh8+bDSP1eOPP47AwECbBejKaBxE9dWlRIPOF+dlz/PQ2vfdlcYa1mYzZ85EbGys0bImTZrw/3/58mX0798fLVq0wEcffYSUlBSsWbMGd+7cwa+//lrT4RJCCLEjqxMrAAgMDMTYsWNtFUutU3ocxM30QqTkyulCqArqWqJB54tzsvd5SO+7a+vVqxdGjhxZ7vqFCxfCz88Px48fh7e3NwCgUaNGmDJlCg4ePIgBAwbUVKiktuMEEAc0MFlGCKk51UqsCgsLkZSUhNzcXDDGTNb37t27Ood3eTQOonrq2gUnnS/Oyd7nIb3vrq+wsBAymQwikfFPakFBAQ4dOoQ5c+bwSRUAjB8/HnPmzMGOHTsosSI2I5R5of7L6xwdBiF1mtXl1mfMmIEff/wRWq0WAMAYA8dxRv9vWFdXOds4CFfrVlfXLjid7XwhevY+D+l9d22TJk1CUVERhEIhevXqhdWrV6NTp04AgGvXrkGj0fB/G7i5uSEmJgaXLl1yRMiEEELsxKrEasqUKfj5558xc+ZM9OrVC35+fraOq9ZwlnEQrtitzhUvOKubvDrL+UL+VRPnIb3vrsfNzQ3PPvssBg8ejMDAQNy4cQNr1qxBr169cPr0abRv3x5paWkAgNDQUJP9Q0NDcfLkyXKPr1QqoVQq+b8LCgps/yQIIYTYlFWJ1cGDBzFnzhx88MEHto6H2ImrdqtzpQtOV0xereFqLZ+24ErnIakZ3bt3R/fu3fm/n376aYwcORJt27bFggULcODAAcjl+vnFJBKJyf5SqZRfb87KlSuxbNky2wdOCCHEbqwa1eju7o5GjRrZOBQ9pVKJ+fPno379+pDJZOjSpQsOHTpk8f7ff/89unXrBg8PD/j6+qJ79+44evSoXWJ1JXWtW50j1IVJWw3JY9zZB/jqxD0kZBY5OiTiBBIyi3A8PqPOnw9NmjTBsGHDcOzYMWi1Wshk+u/Z0i1PBgqFgl9vzoIFC5Cfn8//S05OtlvchBBCbMOqFqtx48Zh9+7dmD59uq3jwcSJE7Fz507Mnj0bTZs2xaZNmzB48GAcO3YMPXv2rHDfpUuXYvny5Rg5ciQmTpwItVqN69evIzU11eZxuhpX7FbnaupC8uqqLZ/EfupKS62lIiIioFKpUFxczHcBNHQJLC0tLQ3169cv9zgSicRsSxchhBDnZVViNXLkSPz+++8YNGgQpk6dioiICAiFQpPtOnToUKXjnjt3Dtu3b8fq1asxb948APrqSa1bt8abb76J06dPl7vvn3/+ieXLl+PDDz/EnDlzqvaE6gjqzmRfdSF5rQvJI6kaSraN3bt3D1KpFJ6enmjdujVEIhEuXLiA0aNH89uoVCpcvnzZaBkh1aVTKVBw7kejZd6dn4XATeqgiAipe6xKrEq3HJnrpmdtVcCdO3dCKBRi6tSp/DKpVIrJkydj4cKFSE5ORkREhNl9P/74Y4SEhGDWrFlgjKG4uJhmtSc1rrYnr3UheSRVU1eT7czMTAQFBRktu3LlCvbu3Ysnn3wSAoEAPj4+ePzxx7F161YsXrwYXl5eAIAtW7agqKgIo0aNckTopJZiGiXyT20zWubV4SmAEitCaoxVidXGjRttHQcA4NKlS2jWrJnRfB8A0LlzZwD6GezLS6yOHDmC7t2745NPPsG7776L7OxshISEYNGiRZgxY4Zd4iXEVlypIERtTx5J1dTVZHvMmDGQyWTo3r07goODcePGDWzYsAHu7u5YtWoVv917772H7t27o0+fPpg6dSpSUlLw4YcfYsCAARg0aJADnwEhhBBbsyqxmjBhgq3jAKDvc15eWVoAePjwodn9cnNzkZWVhVOnTuHo0aNYsmQJGjRogI0bN+K1116DWCzGtGnTyn1cW5e1dYaLZGeIgVjGVcaoVPWconOw7qiLyfbw4cMRFxeHjz76CAUFBQgKCsKIESOwZMkSNGnShN+uQ4cOOHz4MObPn485c+bAy8sLkydPxsqVKx0YPSGEEHuwKrEqLS0tDRkZGWjSpAk8PDyqdSy5XF5uWVrDenOKivSVqLKzs7F9+3aMGTMGgH4sWJs2bfDuu+9WmFjZsqytM1wkO0MMxHKuMEalqucUnYOktps5cyZmzpxp0bY9e/bEqVOn7BwRIYQQR7Oq3DoA7NmzB82bN0d4eDg6dOiAs2fPAgCysrLQvn177N69u8rHlMlk5ZalNawvbz8AEIvFGDlyJL9cIBBgzJgxSElJwYMHD8p9XFuWtXWGktvOEAOxnCuMUanqOUXnYN1EZdcJIYTUZVYlVj///DNGjBiBwMBALFmyBIwxfl1gYCDCwsKwadOmKh83NDS03LK0AMotTevv7w+pVIqAgACT6oTBwcEA9N0FyyORSODt7W30z1rOcJHsDDEQyxnGqIzr2rBGW3aqchFc1XOKzsG6h+Y4I4QQUtdZ1RVw+fLl6N27N44dO4bs7GwsXbrUaH23bt2wfv36Kh83JiYGx44dQ0FBgVFyY2gNi4mJMbufQCBATEwMzp8/D5VKBTc3N36dYVxW2epN9uIMA7mdIQZSNTU9RqWqXfWqek7ROVj3uEKXVlL7NXprn6NDIHZg6fuauGqInSMhpGJWtVhdv369wvk36tWrh4yMjCofd+TIkdBqtdiwYQO/TKlUYuPGjejSpQtfEfDBgwe4deuW0b5jxoyBVqvF5s2b+WUKhQJxcXFo2bJlhRMx2lpUkCf6NAty6EWFM8RAnJc1XfWqek7ROVi3UCslIYSQus6qFit3d3cUFxeXu/7evXsICAio8nG7dOmCUaNGYcGCBXxBjM2bNyMxMRHffPMNv9348ePx+++/G3VBnDZtGr7++mu8+uqruH37Nho0aIAtW7YgKSkJP//8c5VjIaQ2o4tgYmvUSkkIIaSusyqx6tevHzZv3ozZs2ebrEtPT8dXX32Fp556yqqA/ve//2Hx4sXYsmULcnNz0bZtW/zyyy/o3bt3hfvJZDIcPXoUb775Jr799lsUFxcjJiYG+/btw8CBA62KhZDayt4XwVRqvW6qi2XXCSGEEAOrEqv33nsPXbt2RWxsLEaNGgWO4/Dbb7/h6NGjWL9+PRhjWLJkiVUBSaVSrF69GqtXry53m+PHj5tdHhwcbFXRDFI70MV81djrIphKrRNCCCGkLrIqsYqOjsYff/yBWbNmYfHixWCM8YlQ37598fnnn6NRo0a2jJOQCtHFvHNIyCzCvqtpeJBTgk4N/aiIASHEZqgwBbEVKoZB7MXqCYJbtWqFw4cPIzc3F3fv3oVOp0Pjxo356nuMMXAcZ7NACakIVSRzPENy+yCnBOn5ClxIykUDf3cav0UIIYSQOsHqCYIN/Pz8EBsbiy5duiAoKAgqlQobNmxAdHS0LeIjxCJUjMHxDMltp4Z+CPGRontUALUcEkIIIaTOqFKLlUqlwt69e5GQkAA/Pz889dRTfBnzkpISfPbZZ/j444+Rnp6OqKgouwRMiDlUkczxSie3Dfzd8WSbUHofCCGkBglk3pVvRAixG4sTq4cPH6Jv375ISEjgy5zLZDLs3bsXbm5ueP7555GamorOnTvj008/xYgRI+wWNCHm1KaKZK5YiIOSW0IIcRyhuw8iZn7n6DAIqdMsTqwWLVqE+/fv480330SvXr1w//59LF++HFOnTkVWVhZatWqFrVu3ok+fPvaMl5Baz5ULcdSm5JYQQohroQInxNEsTqwOHTqESZMmYeXKlfyykJAQjBo1CkOGDMGePXsgEFR7yBYhdR4V4iCEEEIIcT0WZ0KPHj1C165djZYZ/n7ppZcoqSLERqgQByGEEEKI67G4xUqr1UIqlRotM/zt4+Nj26gIqcNorBIhhBBCiOupUlXAxMREXLx4kf87Pz8fAHDnzh34+vqabN+hQ4fqRUdIHeXsY5VcsbgGIYQQUhU0kTCpqiolVosXL8bixYtNlk+fPt3ob8PkwFqttnrREUKcjisX1yCEkNpKp1ai+Noho2UebZ6AQCxxUESE1D0WJ1YbN260ZxyEEBdBxTWcD7UgEkKYWoGcQ18aLXNv3gugxIqQGmNxYjVhwgR7xkEIcRFUXMO5UAsiIYQ4li3LvFO3QtdWpa6AhBDiasU1antrDrUgEkIIIc6BEitCakhtusB39uIaBnWhNYdaEAkhhBDnQIkVITWgLlzgO6O60Jrjai2IhBBCSG1FiRUhNcDSC/za1KrlDOpKa46rtCASYo4tx6cQQogjUWJFSA2w5AKfWrVsr6615lBiTgghhDgOJVaE1ABLLvDrQrc1R6grrTmUmBNCCCGORYkVITWksgv8utJtjdgHJeakuiztkkfloAmxH/ocujZKrAhxEnWt2xqxLUrMnZdSqcTbb7+NLVu2IDc3F23btsW7776LJ554wtGh2RWNnSKE1DWUWBHiROpKtzVie5SYO6+JEydi586dmD17Npo2bYpNmzZh8ODBOHbsGHr27FmlY7Ve8hsEEvcq7WPrO9uUMBHiOqgFrGZRYkUIIbUEJebO59y5c9i+fTtWr16NefPmAQDGjx+P1q1b480338Tp06cdHCEhhFACZiuUWBFCiJOiKn+ub+fOnRAKhZg6dSq/TCqVYvLkyVi4cCGSk5MRERFh1xiohYmQ2sfZP9fOHJ89k0NKrAipAXSBTKqKqvzVDpcuXUKzZs3g7e1ttLxz584AgMuXL9s9sSKEEFtx5oTJUvZsnaPEygzGGACgoKDAwZGQ2uBeVhE2n0pETokK/u5umNCjERoH0gUyqditB5lIy8pBdLAX4jNyEJ/siSCJztFh2Z3he9fwPezq0tLSEBoaarLcsOzhw4dm91MqlVAqlfzf+fn5AACdssQOUZLaQKcyPTd0qhJwQrEDoiHE9TWY8wP//4bv3sp+myixMqOwsBAA6C4isYuPHR0AcUn/c3QANaywsBA+Pj6ODqPa5HI5JBKJyXKpVMqvN2flypVYtmyZyfLULybaND5Suz1cP8XRIRBSq1T220SJlRn169dHcnIyvLy8wHGc2W0KCgoQERGB5ORkky4ezo5idwyK3TEodsewNnbGGAoLC1G/fn07RldzZDKZUcuTgUKh4Nebs2DBArz++uv83zqdDjk5OQgICCj3d8lZufJ57MrodXcMet0dw96vu6W/TZRYmSEQCBAeHm7Rtt7e3i77waHYHYNidwyK3TGsib02tFQZhIaGIjU11WR5WloaAJT7Iy2RSExaunx9fW0eX01y5fPYldHr7hj0ujuGPV93S36bBHZ5ZEIIIYQgJiYGt2/fNhmze/bsWX49IYSQ2oESK0IIIcRORo4cCa1Wiw0bNvDLlEolNm7ciC5dutBYXkIIqUWoK6CVJBIJlixZYnZQsrOj2B2DYncMit0xXDl2W+rSpQtGjRqFBQsWICMjA02aNMHmzZuRmJiIb775xtHh1Qg6FxyDXnfHoNfdMZzldedYbalpSwghhDghhUKBxYsXY+vWrcjNzUXbtm3xzjvvYODAgY4OjRBCiA1RYkUIIYQQQggh1URjrAghhBBCCCGkmiixIoQQQgghhJBqosSKEEIIIYQQQqqJEitCCCFVRsNzCSGE1ASdTufoECxGiRVxOLpAI3VNfn6+o0Ow2vfffw8A4DjOwZEQZ0Lf4zVDoVAY/U2vO6nN7ty5A61WC4HAddIV14nUji5duoQHDx4YXey4ypdVSUmJo0Ow2r1791BSUmLyQ+EKrly5gjt37iAlJYVf5irnDADs2bMH06dPx7179wC41t2gbdu2wcvLC6dOnXJ0KFW2a9cuDBgwAGvXrkViYqKjw6mS7du3IyoqCs899xz++OMPR4dDHOjQoUN466238MUXX+D06dMAKNG2t+vXr2PUqFEYO3Ys/u///g/nzp0DQK+7vX3//ff4v//7P7z//vtG33uu9HvvirZs2YJmzZphwIABaNmyJZYvX+4yNyTrdGJ18+ZN9OzZE/3790e7du3QuXNn/Pjjj9BoNOA4zqk/OPHx8ejYsSNefvllR4dSZVevXsWQIUMwdOhQREZGom/fvjh16pRTv94GV69exRNPPIGnnnoKHTt2RLt27fDJJ5/w54wrOHToEJ555hls2bIFv/zyCwC4xN2gS5cuoUuXLnjppZcwZMgQeHt7Ozokiz18+BBDhgzB+PHj4ebmBnd3d7i7uzs6LIsYXvcJEybAy8sLUqkUSqXS0WERB8jPz8eYMWMwdOhQ7Nu3D3PnzsXAgQPxySefICcnBwBdcNqS4bXcsmULunXrhtTUVKjVamzbtg1PPPEE1qxZ4+AIa69Hjx5h0KBBmDx5Ms6fP4/3338fjz/+OJYuXYq8vDynv0Z0ZV999RVeeeUVPPbYY3j55ZfRoUMHLF26FNOnT0dCQgIAJ78ZzOqoR48esfbt27Pu3buzb7/9ln377besa9euzNfXly1ZsoQxxphOp3NskGbodDq2c+dO1qxZM8ZxHOM4jh0/ftzRYVlEo9GwTz75hAUFBbE+ffqwt99+m02fPp1FRESw5s2bO/XzUKlU7L333mO+vr6sT58+7NNPP2Xbtm1jffv2Zd7e3mzXrl2ODrFShvP5r7/+YgEBAUwmk7EuXbqwy5cvM8YY02q1jgyvXCUlJWzSpEmM4zjWp08ftmfPHvbo0SNHh1UlS5YsYS1atGBxcXHswYMHjg7HIvn5+Wz8+PGM4zjWt29ftmfPHrZv3z4mlUrZmjVrGGP6zzSpO3bs2MH8/PzYhg0b2IMHD9jNmzfZ+PHjmUQiYXPnznV0eLVW79692aBBg1hiYiJjjLH79++zF154gXEcx7Zt28aUSqWDI6x9Nm/ezPz9/VlcXBx7+PAhy87OZhMnTmReXl5s+vTpjg6v1ioqKmLdu3dnjz/+OEtLS+OXv//++8zb25uNHTvWgdFZps4mVtu3b2cikYjt3LmTX5aSksLGjBnDOI5jhw8fdmB05UtISGCtW7dmAQEB7N1332UtW7ZkXbt2ZWq12tGhVerAgQOscePG7KWXXmK3bt3il586dYpxHMfmz5/vtM9j3759rEOHDmz27Nns9u3b/AXlnTt3GMdx7IMPPnDKRNycnTt3sgEDBrAvv/yScRzHFi5cyD8fZ3sOGo2Gvffee4zjODZlyhSWmZlZ7jnibLEbPHjwgNWrV4/NnDnTZHlpzhR/cXExa9q0KWvcuDH74osvWFJSEmOMsXv37jE/Pz82YsQIp03Eif08/fTTrGXLlibLhw8fznx9fdn27dsZY5Rw29LFixeZp6cn++ijj4yWJyUlsf79+7MmTZqwP/74w0HR1V59+vRhXbt2NVpWXFzMJk6cyDiOY/v27WOMOdf3dm2Qk5PDAgMD2bvvvssYM/4u+b//+z8mlUrZN998wxhz3pvBzt//x06SkpLg4eGBZ555BgCgVqsRFhaGN998E7GxsZg9ezYyMjIcHKUpkUiEp59+GkeOHMGiRYvw6quv4uzZs9i8ebOjQ6vUjRs3IJFIsGrVKkRHRwMAVCoVunfvji5duuDixYsQiURO2bzu4+ODF154AQsXLkTTpk0hFAoB6Pu9BwUFoWHDhk7fNcAQW0REBM6ePYtp06ahf//+2LhxI44dO+bg6MwTCoUYOHAgunfvjpMnTyIwMBAikQh79+7FxIkTMX/+fGzcuBEqlcppu2ImJiaisLAQM2bMAKDv1tOqVSsMGjQIzzzzDLZt2wbAecZK6HQ6uLu7Y/Pmzdi7dy8mT56MBg0aAAAiIyPRpEkT5OTkQK1WO/X5TmxLqVRCpVLB19eXX6ZSqQAAixYtQmRkJBYsWACNRsN/P5LqCwkJgUqlgoeHBwDw3XAbNGiANWvWIDU1FZs2bUJWVpYjw6w1dDodlEolpFIpRCIRv1yj0cDd3R2vvfYaOnTogJkzZ4Ix5jTf265o37596NChg9HYtYKCAnAch7S0NCiVSgiFQmi1WgDAjBkzEBMTg6VLl0KhUDjvEAaHpnU1wJDRlr2rsHbtWubl5cWOHTvGGGNGd+y///57JpFI2IoVK8zuW1PKi12hUPD/Hx8fzwYMGMDCw8NZVlZWjcZXkdKxl44/Pj7eaD1j+te+b9++rGfPnkwul9dsoGaU97qXdfLkSda6dWvm7e3Nli5dyq5du8Zyc3ONjuEIlcW/c+dO1qRJE8YYY5cuXWIcx7EJEyawnJycCverCeXFbmhdmzt3LhswYADjOI41adKEeXl5MY7j2IgRI9j169eNjlHTyov9woULTCQSsd27d7Nvv/2WCQQCNnLkSDZhwgQWHBzMOI5jGzdudEDE/7LknNfpdEyr1bJXX32V+fj48Oc63bGtXXJyctjt27f574PSRo0axZo1a8Z/j5e2du1aJpVK2XvvvccYc967ya6moKCAtWvXjvXr149fVvoz98YbbzAvLy925MgRR4Tn0m7evMlmzZrFXnvtNbZo0SJ2+/Ztft3w4cNZdHQ0u3btGmPM+HzesGED4ziOrV271mQdscz9+/dZw4YNGcdx7JlnnjFa17dvX9a5c2eWkpJist9///tf5uXlxVatWsUYc87fn1qbWBnGxHz99ddGyw1vwqFDh5hEImFLly7llxk+HOnp6Wz06NEsKCjIIX2Xy4u9PN9//z2TyWTszTfftHNklatq7IbEq3379mzMmDH8MkewJHbDOTJ//nzGcRzr168fmzBhAps8eTLz9fV1aP/fyuI3vK7nzp1jXl5e7OHDh4wxxiZPnswkEgn77rvvGGP67g41rbLPa1JSEhs5ciTjOI499thj7MCBAywpKYmlpqayd955hwkEAjZq1Kgaj5uxyl/3CxcusMDAQDZu3DjWrl07tnjxYlZYWMgYY+zq1ats4MCBLCAggN28ebMmw2aMVf3zyhhjixcvZhzHsb1799oxMuIICxcuZNHR0Sw0NJS5ubmxt956yyiJ2rdvHz+ux8BwUzI5OZn17NmTtWvXjmVmZtZ47LXZG2+8wUJCQtjBgwcZY8bdo+7evcsCAwPZvHnzGGPOeaHpbJRKJZs3bx6TyWSsU6dOrGnTpozjONa4cWP2ww8/MMb0NyA5jmPffvst/7tveN0TExNZ//79WWRkJI1vs1J+fj7z9fVlrVq1YuHh4ex///sfv27Lli1MKBQaDdUxvPYPHjxg7dq1Y3379uVv7jmbWplYnThxgrVq1YpxHMcGDBjAbty4wRgz/cLp0KEDa9++PX9HovT6uLg4JhKJ2BdffGF2X0fHXnpZRkYGe+mll5hUKuXv2jviy7UqsZeWnJzMPDw82MqVKxljjumfb2nshr93797Nvv/+e5aVlcUvW7BgARMIBGz16tWMsZq9i1WV137Hjh2sWbNmfAGIgoIC5u7uzvr168cmTZrEXnzxRT7pcqbY4+Li2MSJE9mpU6dM1r3wwgvMx8eHv9h3ts9rjx49mEAgYIGBgez06dNG6w4ePMj8/f3ZrFmzGGM1d95U9fNqiOvkyZOM4zi2Y8eOCrcnruPq1ausT58+LDw8nC1cuJCtWLGCvfTSS4zjODZ58mR+XGNycjKLjY1lPXr0MLqoMZwDS5cuZV5eXnwCQGzj0aNHzN/fnz3//PP876Ph81hYWMheeOEFFhER4cgQXUZhYSFbuHAha9y4MXv//fdZfHw802q17MiRI6x+/fqsV69erKSkhGk0GtauXTvWq1cvvmhIacuWLWO+vr78WCtiOZ1Ox5KTk1nfvn3Ze++9x6Kjo1lsbCwrKipijOnHrsfGxrIuXboY3aQxnPMzZsxgoaGh7N69ew6JvzK1LrE6c+YMa968OWvUqBEbNWoU4ziOvf/++0YD3g1fTHv27GEcx7F3332X74JmWBcfH8/Cw8PZ1KlTa+xCx5LYy3PkyBEWFhZm0qRaU6oT+4kTJxjHcey3336rgUhNVSX2ii4i79y5w5o0acLatWtn1F3T3iyN3xD7yZMnmbu7O0tOTubXPffcc0woFDKxWMyWLFnCf8E5Q+yGuPPz81lGRobR/obt/vzzT8ZxnFELtDPEbvg+OXDgAF/F09AyZbjTmZGRwQYNGsQiIiJq7Lypzuf1+vXrzM/Pj7322muMMUqsXF1ubi6bOHEia9KkCdu1a5dRi/WwYcNYUFAQO3nyJGNM/3n76quvmEAgYJ9//jl/fqtUKsaY/neT4zi+Sip1kbKd5cuXs6CgIH7gfukbkPPnz2fBwcEsISHBUeG5jPv377PIyEg2bdo0lpeXZ7Ru2rRpLCgoiF24cIExpm854TiOffTRR/znwvC9fenSJSYQCNju3bsZY/Q9WFUZGRlMKpWymzdvslWrVjFPT0++YIVCoWCbN29mQqGQrVy5kn/tDb+PP/zwAxOLxWa7JDuDWpdY3bhxg0kkEr45t1evXqxp06bs1KlTZrcfPHgwq1+/Pvv5558ZY8ZfVq1atWLjx49njNXMh6aqsZeOq6ioiO+iY+hr/fvvv7M9e/YYbedMsRusW7eOiUQivnuURqNhCQkJ/JebM8fOmPHFQ7du3VjXrl1rNLEqG3/v3r0rjH/79u0sOjqa5eXlsWPHjrGePXsyoVDIvL29WZMmTfiLKGc950vHZnjtMzMzma+vb412h61q7IbyyNOmTWOMMaMkZuTIkaxly5YsPz/f/oGz6p3zGRkZrGHDhqx///6soKDA3qESO8vJyWGxsbH8BTtj/yZKx44dM/pNYUxfPXfEiBGsfv367NixY0bfE2fOnGESiYR9+eWXNfcE6giFQsFat27NmjRpYnKnfvr06Sw4ONhpu0Y5E51OxzZs2GC0zHC+79ixg4lEIv7mV15eHhsxYgQLCQlhP/30k9E+586dYxzHsc2bN9dM4LWIVqtlqampLDo6mp04cYKlp6ezrl27ssjISD5ZSk9PZ5MnT2aenp5sy5Yt/L46nY69/PLLLCQkhCUnJztlQlurEitDUlT6rrahNWTmzJn8RUvpC+GkpCTm6enJunbtyi5evMgv//PPP5m3tzdbtmyZU8Vu7iQyPJ9bt26xDh06sDZt2rBly5axiIgIFhAQYPc5f6oTO2OMDR06lHXv3p0xpu9qsnXrVta+fXvWoUMHlp2d7bSxl70b+9tvvzGxWMxmz55tx4iNVSV+w3M4cuQIc3NzY0899RQTCoWsR48e7MSJE2zHjh38hX9N9Bu35Wu/bt06xnEc++qrr+wY8b+s+a5JTk5m3t7eJq2zf//9N4uKimLjxo2rkR8JW7zuI0aMYK1atWJFRUVO+cNGLGN4P2/evGm2gMnBgweZSCRi33//vdF+165dY2FhYaxjx478ufzo0SP25ptvsvr165vtOkWq78yZMywsLIy1adOGnTx5kj148ID9+uuvLDIyks2ZM4c+ixYy3NQqO+xg9erVTCgUGk0Hk5yczOrVq8datWrFDhw4wBhjLDU1lc2YMYM1bNiQpaen11zgtUhOTg5zd3fnb+atX7+e+fv7s8mTJzPGGMvKymLp6emsS5cuzMfHh/3nP/9hBw8eZF9//TVr1KiRU88l5rKJ1fbt29m0adPYqlWr2IkTJ/jlpb9YDD8UEyZMYL6+viZ3HAwfqk2bNrEGDRqwyMhI9sknn7Cvv/6aDR06lEVERLCrV686ZezmJCUl8XMscBzHhg0bZtTdy9li1+l0rLCwkIWGhrKxY8eyw4cPs6effppxHMcGDRpktiKMs8Re2sOHD9nPP//M+vTpw1q2bMmP2bM1W8V/6tQp1rZtW9aiRQv22WefseTkZP6z0KNHDzZlyhSbJ1b2eu3T09PZ7t27Wdu2bVmfPn3sUhnTlt8127dvZ6Ghoczf359NmTKFrVixgj355JPMz8/PLl1h7fG663Q69u677zKO4/i7i3RBV7sY3s+9e/cyjuP4C83S7/Px48dZ48aNGcdxrEePHqx///5MIpGwN954gymVSjon7OTo0aOscePGTCwWs6ioKObt7c06dOjgkOI3tYXhO3DWrFksJCSEb8EyfG//9ttvrEOHDozjOBYTE8O6devGxGIxW7ZsGdNoNHSuW+HevXusWbNm/O+NUqlkzzzzDAsMDGRjxoxhHTp0YH/99Re7d+8emzZtGuM4jvn6+jKpVMqee+65GuvdYQ2XS6zS09PZwIEDmYeHB+vQoQPz8/NjEomELVmyhG8GLzvZaUpKCvP09GQjRozgEw2tVmvyI9GjRw/m4+PDAgICWNu2bW0+6Z4tYy/r5MmTbNCgQUwgELD27dtb3I3N0bHfvXuXubu7sw4dOjBPT08WHR1t87Kx9or9+PHjbMqUKWzkyJHMy8uLtWvXjp0/f96msdsyfsNdOpVKxU6cOMGuXbvGJ1CG/Wxd7t6er/3//d//seeee455enqyDh06sMuXLztt7KW/a06dOsUGDhzIfH19WXBwMGvfvr1R0uNssZuzdu1axnGcUdUmUvu89dZbjAzZ/AAAGsxJREFUzM/Pj+Xm5pod93j37l22dOlSNmbMGDZo0CD2yy+/OCrUOuXu3bssLi6Ovf3220bdpEj1dOzYkT377LOMMdPWrMzMTLZq1So2ZcoUNmbMGJMiRKRqsrOzmUQiMbrOfuONN5ibmxsTCoVs0aJFRr2tbt68yY4dO8YXaHNmLpdYbd68mfn7+7O4uDj28OFDlp2dzSZOnMi8vLzMNg0afgDee+89JhAI2IYNG4wuckr/v1wuZ48ePbLLxbE9Yi/t8OHDzM3NjX322WcuFfvRo0cZx3EsODjY5WL/+eefWZMmTVjfvn3Zt99+a5fY7RV/Td1hs9drv3PnTubp6cm6dOlit+5/9vyuUSqVLDc3l125csUlYjcwJFppaWls06ZNdomdOJ7hfR44cCDr1q2bxdsT4qoyMjKYTCbjq/oypj+vzc3nRqovISGBNWvWjB08eJCdPn2a9erViwmFQta0aVPm7e3Nj9N0RJXo6nK5xKpPnz6sa9euRsuKi4vZhAkTGMdxfOnLsl/0KpWKRUVFsS5duvCTwCUkJBiNM7D3j4M9Y2fMviegrWMvfSdi/fr1fNO7q8WekJDgUufN3bt3Tc4be7Lna3/lyhWXOudry3cNdXupPSo6DzUaDfP19WWLFy/ml2VnZ7OjR4+ykpISxhidC6T2MNzkPX78OGNMf/Noy5YtLDY2tkZ/M+uKlJQUJpFIWExMDBOJRKxbt27s4MGD7NSpU6xVq1YsLCzMZZNal0mstFotUygUbODAgaxHjx78ckP3hL/++ot17NiRNW7c2OTLvmx59fnz57ONGzeyDh06sJkzZ9p9QlSK3Xzs9q4oZs/Ya6IcuT3jN1wYuWLs9n7t6fPqmNhJzdHpdEZJ1e7du9m5c+eMtrl48SJfEVAul7PTp0/zc1sZ5nckxNUZvgfff/995uvry27fvs2OHTvGnnnmGSYWi1mnTp2M5qsktqHRaNiLL77ImjRpwj799FP24MED/jdo8eLFbPz48Sw/P98lX3enTKxu3rzJZs2axV577TW2aNEi/s4pY4wNHz6cRUdH8wUCSv84bNiwgXEcx9auXcsYM23BUavVLDY2lgmFQsZxHAsNDeWrvFDsFLujYnf1+Cl2ip24jtLv9/Xr11n//v0Zx3FsxYoVRhcx//3vf5lQKGQ7d+5k7777LgsICGAhISHsu+++c0TYhNjViBEjWFRUFJsyZQrz8vJiTZs2pYmu7SwlJYVdv37dZHoaS+ZTdGZOlVgplUo2b948JpPJWKdOnVjTpk0Zx3GscePG/HwrO3fuZBzHsW+//Za/WDD8UCQmJrL+/fuzyMhIk0H5Fy9eZIsWLWKenp7My8uLffzxxxQ7xe7Q2F09foqdYieuo3RCVVhYyKZOnco4jmOdO3fmx+Ix9m8S/sorrzAPDw/WuHFjJhKJ2KJFixwSNyH2JpfLWUxMDOM4jnl7e/M3nQixhtMkVoWFhWzhwoWscePG7P3332fx8fFMq9Wyw4cPs/r167NevXqxkpISptFoWLt27Vjv3r3NzpWxdOlS5uvry48hYEx/0TBjxgzGcRybMGECPxEtxU6xOyp2V4+fYqfYiWsoPYcdY/qKjl5eXiwsLIx98MEH7M6dO2bHWvXo0YNxHMfGjRtHY0xIrffmm2+y+fPnm7SeEFJVTpNY3b9/n0VGRrJp06axvLw8o3XTpk1jQUFB7MKFC4wxxrZs2cI4jmMfffQR3+/fcOf10qVLTCAQsN27dzPG/m1SPHfuHLtx4wbFTrE7ReyuHj/FTrET13LgwAHWvHlzJpVK2fTp09m5c+fMTq9gaNk6e/Ysfy4RUttRZUtiK06TWOl0OrZhwwajZYZKcTt27GAikYifAC8vL4+NGDGChYSEmExmee7cOcZxHNu8eXPNBM4odsYodmu4cvwUO8VOXINWq2X/+c9/GMdxbOjQoezXX3/l5zIjhBBiW06TWDH2713TsoOpV69ezYRCIT/7O2OMJScns3r16rFWrVrxA6tTU1PZjBkzWMOGDVl6enrNBc4odordOq4cP8VOsRPXcOzYMbZ582aWkpLi6FAIIaRWc6rEqixD0+ysWbNYSEgIf2fWcEHx22+/sQ4dOjCO41hMTAzr1q0bE4vFbNmyZUyj0Ti0TCPFTrFbw5Xjp9gpduKcyo6zovecEELsg2OMMTi5Tp06oVGjRti5cye0Wi2EQiG/LisrC9988w0SEhJQUFCAWbNmoVu3bg6M1hjF7hiuHDvg2vFT7I7hyrETQgghtYKjM7vKZGRkMJlMxlavXs0v02q1LjEjM8XuGK4cO2OuHT/F7hiuHDshhBBSWwgcndhV5vr161AoFIiNjQUApKen47vvvsPAgQORmZnp4OgqRrE7hivHDrh2/BS7Y7hy7IQQQkht4bSJFfunh+L58+fh4+OD+vXr4/jx45g+fTpeeuklMMYgEAj47ZwJxe4Yrhw74NrxU+yO4cqxE0IIIbWNyNEBlIfjOADA2bNnERAQgNWrV2P79u0ICQnBvn378MQTTzg4wvJR7I7hyrEDrh0/xe4Yrhw7IYQQUuvUXK/DqpPL5SwmJoZxHMe8vb3Z2rVrHR2SxSh2x3Dl2Blz7fgpdsdw5dgJIYSQ2sTpqwLOnz8fHMdh2bJlkEgkjg6nSih2x3Dl2AHXjp9idwxXjp0QQgipLZw+sdLpdBAInHYoWIUodsdw5dgB146fYncMV46dEEIIqS2cPrEihBBCCCGEEGdHtzgJIYQQQgghpJoosSKEEEIIIYSQaqLEihBCCCGEEEKqiRIrQgghhBAXs2nTJnAch8TERKv2nzhxIho1amTTmGpSdZ+/OYmJieA4Dps2bbLZMatq8ODBmDJlis2ON3bsWIwePdpmxyMVo8SKEEIIIXXGunXrwHEcunTp4uhQiIN89913+Pjjjx0dholTp07h4MGDmD9/Pr8sLy8PL7zwAvz8/NC4cWN88803JvtduHAB7u7uuH//vsm6+fPn48cff8SVK1fsGjvRo8SKEEIIIXVGXFwcGjVqhHPnzuHu3buODoc4QHmJVcOGDSGXy/Hiiy/WfFAAVq9ejf79+6NJkyb8snnz5uH48eNYtmwZnnrqKUyZMgWnT5/m1zPGMHPmTMyePRuRkZEmx2zfvj06deqEDz/8sEaeQ11HiRUhhBBC6oT79+/j9OnT+OijjxAUFIS4uDhHh1TnFBcXOzqEcnEcB6lUCqFQWOOPnZGRgX379pl02/vll1+wcuVKzJw5E5988gl69+6Nn3/+mV8fFxeHpKQkLFy4sNxjjx49Grt27UJRUZHd4id6lFgRQgghpE6Ii4uDn58fhgwZgpEjR5pNrAzjbNasWYMNGzYgKioKEokEsbGxOH/+vNG2EydOhKenJ1JTUzF8+HB4enoiKCgI8+bNg1ar5bc7fvw4OI7D8ePHzT5W6TE9V69excSJE9G4cWNIpVKEhITgpZdeQnZ2ttXP+6effkLr1q0hlUrRunVr7N692+x2Op0OH3/8MVq1agWpVIp69eph2rRpyM3NNdlu6dKlqF+/Ptzd3dGvXz/cuHEDjRo1wsSJE/ntDOOgfv/9d0yfPh3BwcEIDw8HACQlJWH69OmIjo6GTCZDQEAARo0aZXbM1N9//43HHnsMMpkM4eHhePfdd6HT6Uy227NnD4YMGYL69etDIpEgKioK77zzjtF70bdvX+zbtw9JSUngOA4cx/FjzcobY3X06FH06tULHh4e8PX1xbBhw3Dz5k2jbZYuXQqO43D37l1MnDgRvr6+8PHxwaRJk1BSUlLeW8Pbt28fNBoNHn/8caPlcrkcfn5+/N/+/v788YqLi/HWW29h5cqV8PT0LPfYTzzxBIqLi3Ho0KFK4yDVI3J0AISQf23atAmTJk3i/5ZIJPD390ebNm0wZMgQTJo0CV5eXlU+7unTp3Hw4EHMnj0bvr6+NoyYEEJcR1xcHEaMGAE3Nzc899xz+OKLL3D+/HnExsaabPvdd9+hsLAQ06ZNA8dx+OCDDzBixAjcu3cPYrGY306r1WLgwIHo0qUL1qxZg8OHD+PDDz9EVFQUXnnllSrHeOjQIdy7dw+TJk1CSEgI/v77b2zYsAF///03/vzzT3AcV6XjHTx4EM8++yxatmyJlStXIjs7G5MmTeITnNKmTZvG/w7NnDkT9+/fx2effYZLly7h1KlT/PNesGABPvjgAwwdOhQDBw7ElStXMHDgQCgUCrMxTJ8+HUFBQXj77bf5Fqvz58/j9OnTGDt2LMLDw5GYmIgvvvgCffv2xY0bN+Du7g4ASE9PR79+/aDRaPDWW2/Bw8MDGzZsgEwmM3mcTZs2wdPTE6+//jo8PT1x9OhRvP322ygoKMDq1asBAIsWLUJ+fj5SUlKwdu1aAKgwKTl8+DCefPJJNG7cGEuXLoVcLsenn36KHj164OLFiyYFQEaPHo3IyEisXLkSFy9exNdff43g4GC8//77Fb5Pp0+fRkBAABo2bGi0PDY2Fh999BGaN2+Oe/fu4cCBA/jqq68AACtWrEBYWFilXRdbtmwJmUyGU6dO4ZlnnqlwW1JNjBDiNDZu3MgAsOXLl7MtW7awb7/9lq1YsYINGDCAcRzHGjZsyK5cuVLl465evZoBYPfv37d90IQQ4gIuXLjAALBDhw4xxhjT6XQsPDyczZo1y2i7+/fvMwAsICCA5eTk8Mv37NnDALCff/6ZXzZhwgT+O7u09u3bs44dO/J/Hzt2jAFgx44dM/tYGzdu5JeVlJSYxL5t2zYGgJ04cYJfZvi9qOx7PSYmhoWGhrK8vDx+2cGDBxkA1rBhQ37ZyZMnGQAWFxdntP+BAweMlqenpzORSMSGDx9utN3SpUsZADZhwgSTGHv27Mk0Go3R9uae55kzZxgA9r///Y9fNnv2bAaAnT17ll+WkZHBfHx8TJ6/uWNOmzaNubu7M4VCwS8bMmSI0XM3MPd+xMTEsODgYJadnc0vu3LlChMIBGz8+PH8siVLljAA7KWXXjI65jPPPMMCAgJMHqusnj17Gp0zBlevXmXh4eEMAAPAnn32WabVatm9e/eYTCZjZ86cqfTYjDHWrFkz9uSTT1q0LbEedQUkxAk9+eSTGDduHCZNmoQFCxbgt99+w+HDh5GRkYGnn34acrnc0SESQohLiYuLQ7169dCvXz8A+vE0Y8aMwfbt2426ihmMGTPGqAtWr169AAD37t0z2fb//u//jP7u1auX2e0sUbolRqFQICsrC127dgUAXLx4sUrHSktLw+XLlzFhwgT4+Pjwy5944gm0bNnSaNsffvgBPj4+eOKJJ5CVlcX/69ixIzw9PXHs2DEAwJEjR6DRaDB9+nSj/V977bVy45gyZYrJuKXSz1OtViM7OxtNmjSBr6+v0fPcv38/unbtis6dO/PLgoKC8MILL5g8TuljFhYWIisrC7169UJJSQlu3bpVbnzlMbx+EydOhL+/P7+8bdu2eOKJJ7B//36TfcydC9nZ2SgoKKjwsbKzs43ON4M2bdrgzp07OH/+PO7cuYOdO3dCIBBg7ty5ePbZZ9G1a1fs2rUL7dq1Q2RkJJYvXw7GmMlx/Pz8kJWVZelTJ1aixIoQF/HYY49h8eLFSEpKwtatWwFY1hd/6dKleOONNwAAkZGRfJ/y0v3Yt27dio4dO0Imk8Hf3x9jx45FcnJyjT4/QgixF61Wi+3bt6Nfv364f/8+7t69i7t376JLly549OgRjhw5YrJPgwYNjP42XPSWHW8klUoRFBRksm3Z7SyVk5ODWbNmoV69epDJZAgKCuKrveXn51fpWElJSQCApk2bmqyLjo42+vvOnTvIz89HcHAwgoKCjP4VFRUhIyPD6JilK9cB+rE/5hIDAGar1cnlcrz99tuIiIiARCJBYGAggoKCkJeXZ/Q8k5KSLIof0I/FeuaZZ+Dj4wNvb28EBQVh3LhxAKr+2hkeu7zHatGiBbKyskyKcVh63phjLiEC9OdYp06d+Nf86NGjOHjwIFatWoX4+HiMHTsWs2fPxrfffot169aZnYeLMVblbqSk6miMFSEu5MUXX8TChQtx8OBBTJkyxaK++CNGjMDt27exbds2rF27FoGBgQDAXwi89957WLx4MUaPHo2XX34ZmZmZ+PTTT9G7d29cunSJxmQRQlze0aNHkZaWhu3bt2P79u0m6+Pi4jBgwACjZeVVhit78WtJBbnyLmjNtZSNHj0ap0+fxhtvvIGYmBh4enpCp9Nh0KBBZgs22IpOp0NwcHC5lRLLJo9VYW481GuvvYaNGzdi9uzZ6NatG3x8fMBxHMaOHWvV88zLy0OfPn3g7e2N5cuXIyoqClKpFBcvXsT8+fPt+tqVZul5U1ZAQIBFyZdWq8WsWbPw1ltvISwsDO+88w66d+/Oj8+eNm0a4uLijMZrA/rEzlyCSmyLEitCXEh4eDh8fHyQkJAAQD8geO7cuUbbdO3aFc899xz++OMP9OrVC23btkWHDh2wbds2DB8+3GigbVJSEpYsWYJ3333XqFTriBEj0L59e6xbt67CEq6EEOIK4uLiEBwcjM8//9xk3a5du7B79258+eWXZhMAWzC0WuTl5RktN7SIGOTm5uLIkSNYtmwZ3n77bX75nTt3rHpcQyEEc/vHx8cb/R0VFYXDhw+jR48eFb4OhmPevXvXqCUqOzu7Sq10O3fuxIQJE4zmV1IoFCavUcOGDS2K//jx48jOzsauXbvQu3dvfrm5SXMtbbkxPNeyjwUAt27dQmBgIDw8PCw6VmWaN2+OH3/8sdLtvvjiCxQWFmLevHkAgIcPH6J+/fr8+vr16yM1NdVoH41Gg+TkZDz99NM2iZWUj7oCEuJiPD09UVhYCKD6ffF37doFnU6H0aNHG/WpDwkJQdOmTfk+9YQQ4qrkcjl27dqFp556CiNHjjT5N2PGDBQWFmLv3r12i6Fhw4YQCoU4ceKE0fJ169YZ/W1o7SjbumFuMltLhIaG/n97dxfSZBvGAfw/t9VQa9ii9UGsGHRQLYQhNLUMrLW2jDC1ICFKsBJMKIgsa66N1K0yWdEkYcVYZTuIRJhswyCCvg60D6z0wA46iWBSdiBpPu/Bi6O1WbOt13fv+/8dPl7Pzf08B5vX7uu+L+Tm5uLGjRtRpXDBYBADAwNRsRUVFfj27RusVmvMOBMTE5GEp7i4GBKJBFevXo2KuXz58ozmJhaLY57T6XTGrOIZjUY8fvwYT58+jVz7+PFjzMpavHf39evXmHcMAFlZWQmVBn7//r5P+F69eoVAIACj0fjLMRKl0+kwMjLy07154XAYZrMZDocDMpkMAKBUKqP2j71+/RqLFy+Oum9gYABjY2PIz89P2XwpPq5YEaWZL1++YNGiRQD+/pC1WCy4fft2pP59SiJfGkNDQxAEYdrygO+PFCYiSkddXV0YHR2d9tf69evXR5oF7969+4/MQS6Xo7y8HE6nEyKRCGq1Gt3d3TGf2/Pnz8fGjRtht9sxPj6OZcuWIRAIxF11SVRTUxNMJhMKCwtx4MABhMNhOJ1OrFmzJqphbFFREQ4ePIimpib09/dDr9dDKpViaGgIPp8PbW1tKCsrg1KpRF1dHS5cuIAdO3bAYDDg+fPn8Pv9WLhwYcKrQdu3b4fH44FcLsfq1avx6NEjhEIhKBSKqLjjx4/D4/HAYDCgrq4ucty6SqXCixcvInH5+fnIycnBvn37cOTIEYhEIng8nrgleFqtFp2dnTh69Cjy8vKQnZ2NkpKSuPN0OBzYtm0bdDodqqqqIsety+VyNDY2JvSsiTCZTJBIJAiFQqiuro4bc/r0aWg0GpSXl0eu7dq1C2fPnsXhw4ehUqnQ3t6OixcvRt0XDAaRmZmJLVu2pGy+FB8TK6I08v79e3z69CmygTXZWvzJyUmIRCL4/f64deE/6+1BRJQOvF4vZDLZtP9UZmRkwGQywev1JtWE91ecTifGx8fhcrkwd+5cVFRUwOFwYO3atVFxN2/eRG1tLa5cuQJBEKDX6+H3+6PKvWbCYDDA5/OhoaEB9fX1UKvVcLvduHfvXkzDYpfLBa1Wi/b2dpw8eRISiQQrVqxAZWUlCgoKInEtLS3IzMzEtWvXEAqFoNPpEAgEUFhYGFlJ+ZW2tjaIxWJ4vV6MjY2hoKAAoVAIW7dujYpbsmQJ7t+/j9raWjQ3N0OhUODQoUNYunQpqqqqInEKhQLd3d04duwYGhoakJOTg8rKShQXF8eMWVNTg/7+frjdbrS2tkKlUk2bWG3evBk9PT0wm804c+YMpFIpioqK0NLSEvdQjt+lVCphNBpx586duInVy5cv0dHRgSdPnkRd12g0cLvdaGxsxOjoKGpqamLu9/l8KC0t/a0+mDRDs3TMOxHFMdXz49mzZ3H/fu7cOQGA0NHRIYTDYQGAYLFYomIGBwcFAILZbI5cO3/+fNx+J3a7XQAgvH37NtWPQkRE/yMjIyMCAMFms832VNLWgwcPhIyMDGFwcDBlY/b19QkikUjo6+tL2Zg0Pe6xIkoTvb29sFqtWLlyJfbu3TujWvypzbU/bgouLS2FWCyGxWKJGUcQhD/66y0REaWneL0Up757Nm3a9M9O5j9kw4YN0Ov1sNvtKRuzubkZZWVlyM3NTdmYND2WAhL9C/n9frx58wYTExP48OEDent7EQwGoVKp0NXVBZlMBplMlnAtvlarBQCcOnUKe/bsgVQqRUlJCdRqNWw2G+rr6/Hu3Tvs3LkT8+bNw/DwMO7evYvq6urIyUNEREQA0NnZievXr8NoNCI7OxsPHz7ErVu3oNfro0oGaeb8fn9Kx4vXXoD+HCZWRP9CU8fszpkzBwsWLIBGo8GlS5ewf//+qBrpRGvx8/LyYLVa4XK50NPTg8nJSQwPDyMrKwsnTpzAqlWr0NraCovFAgBYvnw59Ho9j2YlIqIY69atg0Qigd1ux+fPnyMHWthsttmeGtGsEgk/1v8QERERERHRjHCPFRERERERUZKYWBERERERESWJiRUREREREVGSmFgREREREREliYkVERERERFRkphYERERERERJYmJFRERERERUZKYWBERERERESWJiRUREREREVGSmFgREREREREliYkVERERERFRkphYERERERERJYmJFRERERERUZL+AlRBBVojoKvPAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -94022,7 +94140,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

From 2e2a58f258778eed10b416d5101635320bc01fe8 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Mon, 29 Apr 2024 10:38:51 -0400
Subject: [PATCH 19/27] update notebook requirements

---
 docs/notebook_requirements.txt | 18 +++++++++---------
 requirements.txt               |  4 ++--
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/notebook_requirements.txt b/docs/notebook_requirements.txt
index 78bb9963..6884cf65 100644
--- a/docs/notebook_requirements.txt
+++ b/docs/notebook_requirements.txt
@@ -10,18 +10,18 @@ decorator==4.3.0
 defusedxml==0.7.1
 entrypoints==0.2.3
 html5lib==1.0.1
-ipykernel==4.8.2
-ipython==8.10.0
+ipykernel==6.29.4
+ipython==8.23.0
 ipython-genutils==0.2.0
 ipywidgets==7.3.0
 jedi==0.16.0
 Jinja2==3.0.0
 jsonschema==2.6.0
 jupyter==1.0.0
-jupyter-client==6.1.7
-jupyter-console==6.4.0
-jupyter-core==4.11.2
-jupyterlab-pygments==0.2.2
+jupyter-client==8.6.1
+jupyter-console==6.6.3
+jupyter-core==5.7.2
+jupyterlab-pygments==0.3.0
 lxml==4.9.1
 MarkupSafe==2.0.0
 mistune==2.0.3
@@ -36,11 +36,11 @@ parso==0.5.2
 pexpect==4.6.0
 pickleshare==0.7.5
 prometheus-client==0.3.0
-prompt-toolkit==3.0.30
+prompt-toolkit==3.0.43
 ptyprocess==0.6.0
 pycparser==2.20
 Pygments==2.15.0
-pyzmq==22.2.1
+pyzmq==26.0.2
 qtconsole==4.3.1
 Send2Trash==1.8.0
 simplegeneric==0.8.1
@@ -49,7 +49,7 @@ terminado==0.8.3
 testpath==0.3.1
 tinycss2==1.1.1
 tornado==6.3.3
-traitlets==5.0.0
+traitlets==5.14.3
 wcwidth==0.1.7
 webencodings==0.5.1
 widgetsnbextension==3.3.0
diff --git a/requirements.txt b/requirements.txt
index 885f81a3..887ee2b8 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -16,7 +16,7 @@ Pillow==10.0.1
 plotly==4.10.0
 pvlib==0.9.0
 pyparsing==2.4.7
-python-dateutil==2.8.1
+python-dateutil==2.8.2
 pytz==2019.3
 arch==5.6.0
 filterpy==1.4.5
@@ -29,7 +29,7 @@ six==1.14.0
 statsmodels==0.13.1
 threadpoolctl==3.1.0
 tomli==2.0.1
-typing_extensions==4.3.0
+typing_extensions==4.11.0
 urllib3==1.26.18
 xgboost==1.5.1
 

From 86fe7dadf5a046161be82c297be290b7424234e3 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Mon, 29 Apr 2024 10:51:00 -0400
Subject: [PATCH 20/27] save degradation notebook without logic filter warning

---
 ...radation_and_soiling_example_pvdaq_4.ipynb | 8315 ++++++++---------
 1 file changed, 4075 insertions(+), 4240 deletions(-)

diff --git a/docs/degradation_and_soiling_example_pvdaq_4.ipynb b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
index 2c726520..f7325ce1 100644
--- a/docs/degradation_and_soiling_example_pvdaq_4.ipynb
+++ b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
@@ -89,7 +89,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -167,7 +167,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -202,7 +202,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -251,7 +251,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -266,7 +266,7 @@
     "normalized_mask = rdtools.normalized_filter(df['normalized'])\n",
     "poa_mask = rdtools.poa_filter(df['poa'])\n",
     "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n",
-    "# Note: This clipping mask may be disabled when you are sure the system is not \n",
+    "# Note: This clipping mask may be disabled when you are sure the system is not\n",
     "# experiencing clipping due to high DC/AC ratio\n",
     "clip_mask = rdtools.clip_filter(df['power'], 'quantile')\n",
     "\n",
@@ -300,10 +300,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:416: UserWarning: The logic-based filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The logic-based filter is an experimental clipping filter \"\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\n"
      ]
     }
    ],
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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return 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-       "/*!\n",
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-       " */\n",
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n=t(\"./compile.js\");e.exports=function(t){var e=[\"'use strict'\",\"var CACHED={}\"],r=[],a=t.funcName+\"_cwise_thunk\";e.push([\"return function \",a,\"(\",t.shimArgs.join(\",\"),\"){\"].join(\"\"));for(var i=[],o=[],s=[[\"array\",t.arrayArgs[0],\".shape.slice(\",Math.max(0,t.arrayBlockIndices[0]),t.arrayBlockIndices[0]<0?\",\"+t.arrayBlockIndices[0]+\")\":\")\"].join(\"\")],l=[],c=[],u=0;u<t.arrayArgs.length;++u){var 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2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var 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3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var At=function t(e){function r(t){return e?new Mt(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function 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h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],257:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function 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Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],263:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return 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this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
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-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ei.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=this.symbolInstances.get(n[r]);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function a(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,a.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(a,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=this._layers[n[r]];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Xe=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ir=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,a,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*a)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var a=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(a)},{originalEvent:t})}}):i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(i)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,a=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},va.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},va.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ya.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wa))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new va({customAttribution:e.customAttribution})),this.addControl(new ya,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):i!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ea.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ca.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var f=h[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pa[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ra=0,Fa=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fa)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ra--,Fa=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qa.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qa.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
-       "/*\n",
-       "object-assign\n",
-       "(c) Sindre Sorhus\n",
-       "@license MIT\n",
-       "*/\n",
-       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use 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Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93225,7 +93060,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93237,7 +93072,7 @@
    "source": [
     "# Calculate the degradation rate using the YoY method\n",
     "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
@@ -93315,11 +93150,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n",
       "\n",
       "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
       "\n"
@@ -93381,7 +93216,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93389,7 +93224,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93412,7 +93247,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93420,7 +93255,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93580,7 +93415,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning:\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93588,7 +93423,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -94048,7 +93883,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -94064,7 +93899,7 @@
     "    confidence_level=68.2\n",
     ")\n",
     "\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
@@ -94107,7 +93942,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -94140,7 +93975,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,

From cd006d45ab51a4662f00544a88705341f5c12b6a Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Mon, 29 Apr 2024 10:54:21 -0400
Subject: [PATCH 21/27] availability notebook avoid double plotting figures

---
 docs/system_availability_example.ipynb | 43 ++++++++++++++------------
 1 file changed, 24 insertions(+), 19 deletions(-)

diff --git a/docs/system_availability_example.ipynb b/docs/system_availability_example.ipynb
index 5a44b3ef..bd860b68 100644
--- a/docs/system_availability_example.ipynb
+++ b/docs/system_availability_example.ipynb
@@ -49,7 +49,7 @@
     "def make_dataset():\n",
     "    \"\"\"\n",
     "    Make an example dataset with several types of data outages for availability analysis.\n",
-    "    \n",
+    "\n",
     "    Returns\n",
     "    -------\n",
     "    df_reported : pd.DataFrame\n",
@@ -61,7 +61,7 @@
     "    expected_power : pd.Series\n",
     "        An \"expected\" power signal for this hypothetical PV system, simulating a\n",
     "        modeled power from satellite weather data or some other method.\n",
-    "    \n",
+    "\n",
     "    (This function creates instantaneous data. SystemAvailability is technically designed\n",
     "    to work with right-labeled averages. However, for the purposes of the example, the\n",
     "    approximation is suitable.)\n",
@@ -100,7 +100,7 @@
     "    full_outage_date = '2019-01-08'\n",
     "    df_secret.loc[full_outage_date, :] = 0\n",
     "\n",
-    "    # calculate the system meter power and cumulative production, \n",
+    "    # calculate the system meter power and cumulative production,\n",
     "    # including the effect of the outages:\n",
     "    df_secret['meter_power'] = df_secret.sum(axis=1)\n",
     "    interval_energy = rdtools.energy_from_power(df_secret['meter_power'])\n",
@@ -112,7 +112,7 @@
     "    # calculate cumulative energy for an inverter as well:\n",
     "    inv2_energy = rdtools.energy_from_power(df_secret['inv2_power'])\n",
     "    df_secret['inv2_energy'] = inv2_energy.cumsum().fillna(0)\n",
-    "                                                         \n",
+    "\n",
     "    # now that the \"true\" data is in place, let's add some communications interruptions:\n",
     "    df_reported = df_secret.copy()\n",
     "    # in full outages, we lose all the data:\n",
@@ -139,7 +139,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 800x600 with 3 Axes>"
       ]
@@ -194,7 +194,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -208,7 +208,7 @@
     "    power_expected=expected_power,\n",
     ")\n",
     "# identify and classify outages, rolling up to daily metrics for this short dataset:\n",
-    "aa.run(rollup_period='D') "
+    "aa.run(rollup_period='D')"
    ]
   },
   {
@@ -231,28 +231,27 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:385: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n",
       "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1600x700 with 4 Axes>"
       ]
      },
-     "execution_count": 12,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
     "fig = aa.plot()\n",
     "fig.set_size_inches(16, 7)\n",
     "fig.axes[1].legend(loc='upper left')\n",
-    "fig"
+    "fig;"
    ]
   },
   {
@@ -614,32 +613,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:385: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 4 Axes>"
       ]
      },
-     "execution_count": 10,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "aa2.plot()"
+    "aa2.plot();"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -658,7 +663,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,

From 3e91adad53e431103e56e764f27d9a1418930e87 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Mon, 29 Apr 2024 13:56:12 -0400
Subject: [PATCH 22/27] re-run TrendAnalysis notebook

---
 docs/TrendAnalysis_example_pvdaq4.ipynb | 160 +++++++++++-------------
 1 file changed, 75 insertions(+), 85 deletions(-)

diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example_pvdaq4.ipynb
index 991b2a9f..3a93751d 100644
--- a/docs/TrendAnalysis_example_pvdaq4.ipynb
+++ b/docs/TrendAnalysis_example_pvdaq4.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -95,7 +95,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -220,17 +220,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n",
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:379: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
-      "  warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n",
+      "\n",
+      "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
+      "\n"
      ]
     }
    ],
@@ -248,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
@@ -278,15 +278,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.509\n",
-      "[-0.761 -0.295]\n"
+      "-1.273\n",
+      "[-1.607 -0.959]\n"
      ]
     }
    ],
@@ -299,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
@@ -327,12 +327,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -350,12 +350,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -373,12 +373,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -396,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 66,
    "metadata": {
     "tags": [
      "nbsphinx-thumbnail"
@@ -405,7 +405,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -423,12 +423,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -451,20 +451,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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0IRms++67jwkTJvDll1/S3NwcZLAA5s6dyyuvvNIvAiOVorIGVu+qQhN6qG5PZfMJK6hHEyjojaRHE7jcgqKyhl4/eE12N41tLpyawOl2suTzw0OesHHJxGG8tqkMDdhxtAmLUcXpDf0JIMFqpKiskWizgYY2NyW1ejJPtNkYUihz5fZy1u2tprS+jViLkXNGp3LTeSODjFi81cieymaqmx1B381JiqahrQnh1WZUFQQCq9HAqp2VxFuNPZanyaDgcGuYDN0nI7302SE2Ha7jjS1mHvvWGQBBBqyn6/Q1qMsKy0iPt3KguoXRabG4PAIBlNXbMTY5qW91MiW34zx7Kpv1i/CiAIlRJlocbtwejTV7jh3Xg69qsuP2aFQ12Xso6dDoqbH3hbO/OFCDEJAUYyY+yoTDpWFQQVFgVGoMFqOB8oZWaludeDTB6l1V/vB3fZuLneWNTMqK99edE4XlLp6YzupdVYzPiOt1qHTl9nLW7DmG26Px6b4abj5/ZJdyXF5YSkVjOy4N0DTe2lbOlwdrsJiMtDvdJEWbKa1r67VhHUgKS+oprtQ7DFaTgfX7a2hzeXB7NOKtJt7fWcWFE9LDIrwZksHatGkTjz/+OBaLhZaWrj3K7OxsKisrT1pcJLNyezmHalopq29DURTqWp1kJUYd92ZPzk7gy4N1IAQGVWHMsJheN9pJ0SY+2VuNQCCE/oC3OYd+WsG4jHhSYs1UtzgRgFvTUFW9AUXoYVOjqtDu0ht7u8vDjqONON0aiwtyQvrNmhYndqdGm9PJx8XHAKhvc1JW347d5cHu8qAJQavDgwJ4hMBqMlCQl8QF41L5bJ/eaLo0QWKUiYY2F/uPtfC3Tw8xNj2u2/thMRqItxopqW3j6he+6DK2dKC6hZpmB8ea7Nzw0kbOyElgam7SCe+vr0Ftd3nYdLiOhnYXZfXttDnduNwCDfC4Ncoa7Pz2/T3srWzi8UVTgA5vEXTvpLrZgeatG5qwBzX2nRuixQU5fs+uPyksqWdvVQvNdqe/wQbd065uduB1CGl2tDMuXSXGYiTabCArMYr0eCtH6lqpb3X6vfMtR+r5/apixqXHUdVkJ8Fq4lBNW5Cn1tDm6tFrX1SQy9j0uD5lHVY3OyhvaNfrrAqPvL2TT/fVBHm4q3dVYVJVoKNzVtnkRFWcqAp4NIixGFm5vXxIDEDnMeRNh+uoaXGiaRotTg8mVSEtzoLRoBJtVrl/xVc43RqrdlZy76UThsxohWSwTCYTmtbzAPnRo0eJjY0NWdSpwN6qZkrr2/F4BGajQk2Lgze2lLG9tCGoYgfy80vyWbm9nC8P1uJ0a6iK0uvxp8O1bSiA2wMGRQ9jRZsNLC8s7VVobKAGiOOtRuKjTDS2O3F5dF0GRcHu1nB7W1SXRxBjUdA0aHa40TTB9tIGtpTU8+qGEh7+xuRe9ZZB77XvrWpm3d4aABrb3by/oxIUcHsEqiLwaKAqCh4h9AYccLg97K1q5nJbFjuONtHqcBNjMeDyaHg0QXWLE7cmeOmzQ92GyGaOTGZPZTMtdjdbjjTQ4nAHGazkGDMCcGnQ0O5ix9FGxqXH0eZ098qLbra7dO/IrdHu9CDQDY9Kh2GyuzRWFlVw9cw8FkzJ4suDtVQ12nG4PTg8AodL071HAe0uDU2IHhvqselxvL29nD+v2U9pXVu/hISKyhrYXtpAWX0bDW0ualuc3PXaNmpaHLQ5PH5jBWBQweEWzBqVwrbSBuKsJjYcqsWgqmQkWKhtdYHbQ22Lk02H67EYDcRZjZQ3tGNQFT7dV8Oiglwa25y8ua2cdqcbs9EQFOL0Ndq+5y05xsV3Zw4P0ttdfatvc2L3he41cDk8vLWtnI/3HGPu+GGcPzYVq8mA0aDQYbJ0fPXN5/7urWrmR//cfNLTV/oaCn/ps0N8vOcYqqpHM8ob7IEOOU6PoK7VidWkUtVkR0XvwB2pa+P+FV9xwzkjeHt7OSW1bZw9KplxGfGD4n2FlHQxa9Ysli1b1u2+1tZWXn75ZWbPnt3n87a0tPDQQw8xf/58kpOTURSFJUuW9Pr7DQ0N3HLLLaSlpRETE8PcuXPZsmVLn3X0B063RrzViNWkkhJrITHaTHlDO/+3o5L7V3zVZTDTV+EWTMli1qgUMhKsTM5O6HUFSI+3YjKqmAyK//+ZCVZW76rq1YB+XwaI+zIg22R3kxBlAhS/ZzUs3kpWghWTAX/4rcXuRlUVDApYTSptLg2HR1BU1sjj7+3msXd3sXJ7ub+3fLzfL6tvRw2IzDncGnaXbiCdHjCoCm5NN1YGRdfk8kBlk4OV28vJS4nCZFCIMhuwmgwB5/H0GCJLiDYTbzXh0gSeQNfGW151rU7MBjXggesIffquZ3lhaZfrWr2ritL6dvZUNNPu9OD2NnhC6I1fp58i1ttrBxidFkt6gpXUOCuJUSZM3vJXAE0TfLK3mi1HGthZ3tilY7RyezmbDtdT3tDOi58d6pekBF/YDnSDdLShnQPVrTS2u3F5w+FGVf+zGFUsRt3jHp8RR7PdhdmgUt/qpL7NxbA4C26PXncMit7wmwwqZqOKqihsK22gqKzB34mobnFS1+oIun8vfXaIf35Rwo6jTeyramFvVQv7qpqD9BZXNvPcx/uD7onTrWExBod+BdBod/PBzkp+/d5uPj9QCygYDYq/zJWAYzUhqGqys+lQHV8dbewxeaYvZdvgHYvzPe/HSyg5UN1Co91NfZubo52MlY92l0Z9mxu7S6PNpeH2CNpdGrvKm3hu7QG2lTZS2Wjn3aIK1hZXnzCRpz8IyWA98sgjbN68mcsuu4z/+7//A2D79u28+OKLFBQUUF1dzQMPPNDn89bU1PDoo4+ye/dupkyZ0qfvaprGZZddxr///W9uv/12fve733Hs2DHmzJnDvn37+qzlZFlckMPU3ETmjk/nm1OzOSM7AZdH81fUzgYkMFNswZQs5uQPY8GUrF7/3k3njWRu/jCSY83EW40kRZsprmrhWLOdjYdqT5jldqKkgUD6YtwK8pL8161p+sooOUlRRJmNTBuepI9PAB4BJoNKu9NDQ5sbVcFrdBR2VTTpmW1F5bxTpPeIiyubuzXChSX11LQ4MKgKBvTGz/cbPjzexV0Ught8IaCp3UVBXjJRZiO1LU5MBpUYiwFV0T0Yh9vTraGMtxqpa3N4x1sEyTFm/3GFJfU0tbtwaYL4KCOJUSbGDIuhutlBcWWT9//N/HnN/i4ZfEnRJvZXNWN3azg9ujH0eI2WqnRcl0EBq1GlrlUfu7zx5U3srmiizekhIcqI1WRgWEIUw5OjMBsUFK8Hc6zZwcGaVlZuL6eorMHfGdlb1YwQwv+bywrLTnivT0RBXhJJ0SbsLg9N7S4CZzEoQHyUkdFpsViMKu1OjX1VrXy6rwaryUB6vJWGNidtTg9tTg+VjXaizHpnQlUUDKpCbYuDNoebhjYnje0uXvrsEBdPTEcTgmiTilFRSI+3+u9LVZMdl0f3OjWgvtXJQ2/v5OnVxRSVNVDe0E5JbSuJ0eagTtLighzSE6JIiTHReciy3aVR1+qiutlBi91FnNWk3/Noo9/jQkCrw0NVkwOHW6Oi0Y4mxEll5fmyLMdnxFFc2US81RiUUNK5k5kcY+72PGaDgtkQ/Lz4Da53oybgSF0r7Q6X/myjRwAGg5BCgjNnzuS9997j1ltv5brrrgPg5z//OQCjR4/mvffew2az9fm8mZmZVFRUkJGRwebNm5kxY0avv7ts2TI+//xzXn/9dRYvXgzAVVddxbhx43jooYf497//3Wc9J8PY9DhvEoSTDYdqMRtV0uKsVDS009juYm9lU9DxgZlixxuEPx5VTXbirSbMRpVYi5G6VifFVboBOtbs6DHxw+cBtLs8PSYNdP4dt0f0akDelpPIrFEpON0eSmrb8GiCHUebGDMslsZ2FzmJViqbnCREGUmPt1DT4tB7ewImZ8dT1WSnvtVJk92NxaBQ1+Ikxmyg2e7udtJoQV4So9NiOFzTRpxVT+RweTQcQtM9KhX/GJ8m9EbftziZQYVvTs1iwZQsVhaVY1QVrCYDigLN3vGuvVUt3Y47NNndZCVEcbi2DVWB3RXNPP7ebu69dAIFeUm88vlhYi0GXG6NhBgTVU0Ov/dmNRnYWd5IdYuDNqc7yNupb3NhNqq4HB3jkQpgNChEm1TcmkBVdI/R4db8Bri21Ynd5ebMEcmMS4/zzsdqw2JU+da0bF7bXEplo17W7U4PSzceYXlhGSNSo4mzmqlrdRJtNuLW9FCo2RjaDJjAlVs2HKrjSF0b1c0OXJ7gPr0CRJkMNNlduufo3d7Q5uTLg7VMzU0ERQU8aAJyk6OwuwV1LQ4cHg23R6PdpRFlNmJ3641nVZOdRQW5lNa1scIbFvxkbzUbDtVy9yX5LC7I4UhdG0cb9HqsAW0ODy+sO8jh2jasJgMtDjclta043B7W7HH7Q4p7KpspLKnD7mrG7tKCwpm+fzo1QV5KFAV5yVQ3O/jqaCPN7S4a7S7cno6Oh8Wo8pV3HmKoE+f3VenzBlscbjIToli9q4qkaBOHvSG7zlmf49Lj2Haknka7NwMTiPbWz2iLiWFxFn1MURO0ON0ogEFRcHn0cVOXtzoaFP16XR6tTx3sUAl54vCFF15IcXEx27ZtY9++fWiaxujRoykoKAh52SaLxUJGRkZI3122bBnp6eksXLjQvy0tLY2rrrqKf/3rXzgcDiwWS0jnDgWfx1Rc2YzZaKCsvo2EKCNVTQoxJiNbSxu7xMh9FTWU8aTCknoc3nGhC0alEGM28Pf1h7A7PaiqQmWTnTV79ASEwHMWlTXw+Hu7aWzX57dYjCee/D1zZDLv76xi5sjkXuldMCWLrMQo/v7ZQaoaHTjdHhrbXUzNTSTOaqS0Tp/UanfpPefqFidGb0wvzmqipsWJEGB362GjNqeHGKvodtKoLSeRBVOyaWhzsfFQLXWtjbR7M82MCmgoKIqemBJjUnF69MYmO8nKXReN868QMmtkClVNdtLjrWw6XOfP3mxxePxTBgLHHArykihvaMd8sJay+nYa2pwcqBas3F7O/ZdN5CcXjuFvnx6i3amnpltMBvZWNZOZEEVStJlmuxurUSXabAx68C+emM6+Yy168g4KTo9+LWdkx/PwNyYDevjunaJy6lqcOAJaTpdHkBRt5v7LJgZNJG51eshMsFLb4sTlEZgMCs0OD+Ch7kgjw+LMTMiMZ3RaLJ/uq8bgvRehTDj2rWCy42gjLXY3Tm92YxcUXW9WopV4q4mSmlbcQmAyqCTHmEmLszA1N4GtJfUkxZi5YJwegfjJf7bS0OqgptlBtMVIu8tDlElFVfQQ7mPv7qK62YFRVWhzevR5ig6FZYVl/OeWs2my62OcW4/o3rrTI3Brgk/3VRNnNWExqphjVA7VttLU5qKysZ07l27l/LGplNa1UdvioqHNicPtwekRQR674r0H9182Eeh4TtYWH2PDwTpUoYHQPctos5Fgv6ZvLPn8MHsrm1FVfbw8MyGKxnYXCVEm/rL2AA6PQAUa2lwUlTX4n8l/fVnC4ZpWVFVB0wRWswHN20GJMhuwuzwkRplJiDJxtKEN/4Pgu0YF3G6NktpW9lU1D/gY1kmvdDF16lSmTp3aD1JOjq1btzJ9+vSghXkBzjrrLF544QX27t3LGWecMfBCHtZXRYgHNgDjx6ykNTaKJGEkrXQzqaPPZdPheoTQuOu1bTjcGiu3H2VYnJWLDyxj0c/uo/BgDQ3tbgp3H8WW2LtbVHBwG+V5+sD4gilZPPfxfswGFbuqYVDA7vRwpK6VNXuOBXlZhSX1OFweopRajJZ00qMMLP/yIE0epaNxqquDxES9dlZUkFBfzbxEDwn11bDfwMP/KuAr138QQmAxquRnxPkTJXg4AdvDjdhyEnljSxmNbcXEKnncfHYuTU59nI+dO6kePoaqJjvThifx2f5qXB5BeYOdPLNbD0UEeEEWk8qwOL3zUVTWQOHhuqCGtGB4IoUl9Syens2eiiZMBnBrgjiLgVan3kOPMumD9E6XRmK0ifR4K00Hj1DkzZrLS4khzfsbY4bFYndpNLQ58Qioa3Xy5KrioIxBW7IZ22UTWV5YyhOrirG7FHB1eKCLVk5m7JVFrPy/zXyZMoyqJjsej+4FHK5pJUpzYVCNXDFVN1Y+47BoahZNKyfzvvE89nIGKcbhpDOMgrgEbAkGMJmwXTyGGFWwYnsFHk0fazjW1oqqfMqB6o4OXGldG8e8K1/sq2pBoZXE6HisJgMVjR0p/vVtLhCCp6+awmPv7mJvVTNlta28+Ml+3ogx89jFI7FN7EhOOB7Vje2UVTfjcDtxejz+MSd9yoD+fwVItJiZMSKR88em0mR3s7eyic8P1pESbaTg2KUs+EYJtpxEfV7ayjWMzxiLLSeROy4cw59X7aGipZW6VgdR5hYSLem0O9wcq2ul0OWirtmBcNdgUFIxqKCqiu4xejwUrH4NLv42Z49K5vXCMv2+CEFdq4vaVhcGBRrbndS1uvxz2t7c9hWf7qnje+d+ndzkaL/3dLSh3Z+MAZBgOcDotPP9n205ieyrasbp1kiMNlLb4iLRXE2UMYcEi4qzvILxU0J8z6DHAzSjaVDfCg1tKskGM81ch8OjR5c09Lr7+1XFvLJ4ArayjcRPHMNzm9to8wiGJ0dRWfcsIxJuwWkx0tTuJjHaQE5SFFVNDuKtJupanf6fTIo2MTI1mj2VRzHRzuqN1gGfRtMvSzOFAxUVFVxwwQVdtmdmZgJQXl7eo8FyOBw4HB0PbFNTU7fH9QUN+BrA/gVcOeI7FJUupRhIOAh2/oc9jZOocejeTF2rk+hjl+lhkD/8hQIuoBhBPuWw3nqcX/H1yHZgA2wHgId1z81qMmA2qoxKjdHng3g8uDVwuDz+sZ/CknriLQZmVK/iav7I245Z5O7/ktIDUDn8HQBsahu8UABMhQlzYPcHxNOMkSaiiYdde7kauNpzNb9gJG7nY+wq18eXbC/m6fIeToCHG7mh9iU05Q1UYNGRuyF3Eq+/u5px/JsRe+CT2P9wpC2WtFgr1S0OYj1fMrv9SbLNs3jXcSsGxYSqKP5w4po9x/hqy1dMTFUxVcdiU/SJmTYFbCMAnOwa1sT6qjpyDBZqPS7qTE5cmiBJNXHTtFGAygeFpdgrXMRW/JzinVDwgxIKS+ppc7qJNhuZkz+Mn1+Sz/0rvmLHUX2eVk2zPsHZlhED1ceg8F8wchZN9uFkJUThcTRwOS8xfufZsOlsvRxetzEOcLTcwQpxDnFKJS6nHTMefiTuxwp8VPIerU6PPg+tuALbi3nEA4v5DPis49YfAH4PkAZkkI2FHxNPMxaOYmKC5W0Adte+BC1HKSypJzHa7J80nBxjYXHbt2nTYvgs6t80trn0xlYBo+KgpLSSov2lLMiP411nMyVlDbR5XHicTRT/9z5so+fA9x474XMw3H6IyvYqnE47CfhCfyoTLPEkRRtJijNz4cRh2IYler+hv5boR2u3kCLszHH8PzIBXsyDc/9My/qf8zWcNK2cAQUfsqggl5aVt3HEWEKiu4REBb5w3Aa04nJ7iKs3sYCXiQWe4xfUmWdgMaiI2mMU/W8yNoDVj1NMAtnMolqZjdOTCuhZzh4BVU3OIK/wCX4CTqhb/xCJLIL4y5iRPQKPJvzjc9cYvsM4QN2jQM1+SE0FOuZL1rW6iDF/xm3iWY6050JrKXkClqycw5LP7+aGc0b0qfG/IbGQjQ0l1GgO3G49XpdmeJ2ZGsB3+QV/BlIQ6Akq/EE/91jgR76T1EE+UNy4Ghr1DncRj1LWNhZjbAzxUSbivdM8Yi0G4qNMxB07zA/V3xJHKwlVM4E5vdYcCqeMwWpvb+825Ge1Wv37e+Lxxx/nkUce6Vc9+UCx9/8c1o0VQLoGC9TfkOUezZfiIioZg8OdyljvGGgRYGMdfR0BLPL93sMJrJzxBVuP1NNqdzMuPQ4Q7K9uxaQojB4WS7zVyOPv7cbh1ohTPIzmjwB8w/mlf/DAeeRyCgo2wws/B9qAz2H354B+iBXQCJ5r9wSH2MZ3edvwmj7RFljk2/lwQse/AXY+CTuHkc8xigEzcFHL1RhGvMie1IlUtzip2vMkWUAWX5JmaWYlt+NWktlb1eJN7W5irPEdjFUGbJYMli99j7KWZnJi41g0Rg9Xjq+tZjwaKCr5w2N550glHoNgGEa0wu3kZ8Wi0UI7r/rvm+3FmdgeLu4S6rzhnBHct+IrnG6BJgTVje3gaIZ178HuJRRt/ojyM37D8ORoLMfWMYH1aG27vfcUfx0Yw59IVCxMdm0hxuTGhIavW5JZdilrGt5kWLyVxZYGf3n78KVJdySZVwPV/vo2A92793EFwJPZFIx8EkbO9adtr3zxp+jB91aqGx6lxHAXuXExtDjcmDzHyKGepcuP8Z3zsij+aj8GRzspQKrhXWAHRQd2YFt3EVwwt0td9NPSwkWplRQf+Qoz+uC8AsSpJs5PyuLKicMABziboVNOxwRxEEGTbqy812Zb/xOmef8dzya/FzqNdUQrgEk/9ms8h0Y04CQwzPYtnmCleJZabRijW7fp5/Tfl0au5AMWax+wFwu7mcleJtOmpNMqMoFob+l7O7MG0GvYcsY1LYemOEZzMaVMJHnMFLK9+UgaAp4ZTZHlFgqnXsv4jDgO17aRkxTF1JZniVVgIqXe+CFc517LxtqtLFvzgj89HTj+EEFrK4vUXWhUckBtw6XoUYkEAO9Y0xP8hP9R7iXKPJVxyVao6ChXH/mdPs8EZvIgbg/salSp5TpmjJlPuSmFNaWt1Le5qOK3XM4RABbxXne1oF85ZQxWVFRUkJfkw263+/f3xL333svPfvYz/+empiZyc0N0bR9uBMD28I+x8S//Zn9l8AAKFBgPMM5zgO1iGhXKZNKEvt33EPWV4oD/K5vOplp7DQWoanIwITOBykYHdpeHTYfqqGxsp9WpgRDU26uZCOAmKIQ+0g1vrvgJ+/gi2NDQ0Wiq6IYycONUYKrj2/zy4OWkWPUeXOfr8RtXjvn3FQPjAdvhH0D27ykaO5+Vezq+M4GdqDzLO65v0irGITAhxF7GaJvJM5jgSBrV1KDh5kCjxj+3RTGFJG+5O8h3W7CVmQEnxTj0C3arFB9Rycfi71zoeirh9dexXXllUAPRZHczZlgcu8ubEAJW7TnC38zl3Lz7DaCcYsqJ2/sFWRdcSuOer7zfqvPfU18diALO5x/km5qwoGAISNadCKypX87WxksxG1axiODOT091w+b9K+pmO4Dt0N3YDp0JGX+CcZOw8SYArwMzKaSZDzkiLiM/L5mEg5tJYT8pjii2f7Qbo7OW4d7MlBS+8t8v25pb4axtYO0hClBbC1VbGUkFpcTq4UADWFBR7SrUd31efcwd7ibjiIt2b3l1vs7XgZLVa9gwegoXd/qubuDbupwzG7iYNRxN/Bbpddv8Rt9XviqgWSDf7iCfdbis6zhKPEddkygTmdjNY2nQSv1pc4GdBxvNvM4bJPIGHIoL7rACxY4XiN3wMsaE/+F3X/8OhbUuClZ33LNiBb01VuEsGsls/TZvrX6UN1KmE2sxkpcSo19/dwZr/344UgJUYiYHTLrlbvWtJmYCDPAbHuc/3E9JRSqvA1dCF50+AuePGQEbGrCE/P1LKCCdVM6giql85TVWAC8DBb1cmSdUThmD5csw7IxvW1ZWzxksFoul/xMyHn6Woof/FdTQFIO/FwgQZ4bzXFupEvtIcwInISGw4uUDbvV/WBPzFNNyE/TMNVXRB+Q9gn1VrSREm7CaVKZSTzZ01AQT4AIETOALKtAbh8DGUgv4v89QrjPCBd7vAfyWd8AOxVbYB0FGL9C42gL+/Kz/BcXrN9I5/SOfHViMrWxhAbVMocS1hTyT7uXtpJRoQHGAqoIwQDFlXEl8x7m1wIbdoRsyLNiwdDUEO38A8+dDXJx/U0FeEhsO1lLtXZXB4Wpn/Y5SbuZz/z3A8Raq+BqvsYXvB5wu0JDojUMP825ccLnnn7wqcig1rIOg8pkAHMXfy++Gzj3mYDbDv8+Bqfd10TSDJYxqzyA961Kmu+xQXkOxRwOiyDO3U2t36ann3p6Kfu4KePV/4fs9hAbLyig+WkE2TVRZUvzp0ZlEoXnMYO25E2nLjMKWmUzRhu4b1Hyggoexq8uDPFB0eYwNKIvAulvEej5vzCKFjikZgfVvOaBZAaE/CiNoYoTpCwBqiENVOxJ9NPRGP1CTrrW5a50GwIW18X+x/Xc9tgW3Bv1+MRBY4XNdsFA8yBvH5rFVfIeisij2VsVR3tDeNdP3wAFw7yKfViAHFRPF1GASBLU3AFc7HuOvwgIqvG4GFStXonfqXw84TiMDOkVQfFqhChtVwId6eXn3NcCAvxki5NXaw42pU6eyZcuWLitwbNiwgejoaMaNGzfomnZ7/x/44EBAoSuAGdJFiz8kECo29IfH96A8yCHWxn3AuIx44qx6rTV5f1gD2px6+msyh7vaSRPeBQ3BtzDP8RtCOKym8oxlQdcdDro0KPmd/t8VjXxeY3SnrSowgkPcyyfMZR0zTev8+wwaGB0Qr0CMpvfK83FRRC2vU0sRtRDwZ6OFK3Fho8W7rRt+H7yihS0nkdvmjuGc0SnEWw1EmZvID3iodS9qAxs+/JjOCffFBBvq4zECuFB5m+kcCPaYZn0Xpn6forgreJ1ZFDEFOpVSYNnqjUty1x/Y9usuOhKATJZyQ8JhKC2k2LOZfMrIp5XxtJNrrSXFVEWC2nENRQClz8Durd1fSG0t+dRi5RgxmBlBHOckZTM8Kp78zHj0XlLPf0W1TgKcbIrQG1VfiHUOTYxv3dWlEdPoeB6uxOr3YvQGuZIUz07gAMXebfo5k4FkFuGd3N1Nwl4qzSQTWMbT0ccQdQKfweOirYG3vtPDPvR2QIMoAde4PmCe+1E010F2VzTzxpajXec/Hj4MtHo/2BmLhzTcpHiNlc+TwntdP/I9lBps5+cw5R6InUc+Zu91XUr+vBch9f/p//Zfb1fGBvy7DQb8zRAR6WFVVFTQ2NjI6NGjMXnd38WLF7Ns2TLeeOMN/zysmpoaXn/9dRYsWDCoKe0+JjCLYr703+jAcEYQFvRwuwqN3Z5p4gl+qRY91qgCxzo2V/6FgiaFDZmLmDEiWV8uqq4Nj9AnjZbWtTGWbd2f0muwfL2+rpV1uHf7EW9DfQOFF1/LO6szuVx7Qb+eHtDLIZruwjaBx0BwKMwXStzHdsZQjuozhXZoQU9iVIAYi+8cibxOg/88NhJ7FuU9Lphq+NuDcPOjHbpyEnn6O9MoKmvg9y+WonGUf+AzkPrv5LC6WxPYJUzkv7Y8Xqek40ATzGInezQoVgMawEkXg+ak2L6Lpvpmip212MYYoeYItNVBVQ02yrEFhGm46FH48BkIavq7hg4BYjgMm5ZT7E3uKOYQV6JiA5bTSpuhIahz4w9fv3Y//HI5dA67V1djo55impliMEO0yqKxHR4r4vg9tOKqmqDf6vy7NsBm2gIEP1MqgVGBGMAe1FlQ2RfUidJjMJlejzsWjTr0GuXTid+A+eqiDeDchdBQBVUlULML2N/1IpKvgrqt/t/sMK6egNB4R91wqWAKiFQAnMchhisPs1K7hmbPRV3nPzbtCCgjjR20EIXV/wj6ykIFNDMQ8PUpl3wTxsaBrQJb6XxsDUcg/1IYbcM2ZSq01UPZ97Ed+BK+WgoEr5oReF+ymBIeae2qqoY0t8rj6fviq8888wwNDQ2Ul+uz/VeuXElZmT4i+5Of/ISEhATuvfdeXnnlFQ4dOsSIESMA3WDNmjWLG2+8kV27dpGamspzzz2Hx+Pp94SK3lBU1kCh+WoKnF926nHlkk8uxWwi3+tSFQPezo3e0MUvgqbl+oaYb8Kokcf/MUc74ISYZNj6IbDdv8vW9hy3NcRQOP0a5k1K59UNJXxV1oTRoOiTS5VD/t8OWvcs4CEFPawXaER0P8CAzZgFCGznnIvt3JEU5N3P4y9GsdD6R/3BUDs8zSAmXg+71gE7AzbGExju6hxW8T0cusZqRoF/UNmJPglYNel9zTgsgJF8YinGRT4mQuqfHf0j7FwIk6Z2Wa9tLyVMcFdSpsFYc6Ax+qingF8P12boGOP09ooVJ0wIiokaYNgI8LjIt0VTdLic/IwYSLNCe6tusJqPQcNRqD8KNRWQPgrGXwBGK7z/d+AL/9kCGxpfWKsIeP3YW/7tgZ2URcTwOh6CWjv0ENoi1sPKZ+Gqu4MvsrwcqNKvTTGTnxQN7t63I/lJcRQ3B2vpEh4sed2/3z8OFXBssbdsA8ddtU6NbjOQzkhU7BTTRD7JFFOHih2NY12MlZ/M8ZCUCxljoOkMqDoARw4CGzuOOesKaJvBok3vQ/tHQb/b2eNW0W9/pQIZBvRxZQAFhpud/JiX+Zg91FXexGPvxLNgarbXQBT79W3V0zyowuH3rfcCrtxnmFx6u36kiv58q7Bo1lgQGiQkQ9pIcLRCQioYTPqAoykdYpIpMuWy05PPJHEU2+6PgbVB5Q5QMKEHr7Ef6dUT/OCDD3YxWCtWrGDnzp3MmzeP/Hy9Cu3Zs4dVq1YxefJkrrjiipAEPfnkk5SUdPQ233jjDd544w0Arr32WhISErr9nsFg4L333uMXv/gFf/rTn2hvb2fGjBksWbLEr28wKSypp2HGORSvD/YO8snFdtbXsFVkQWkhcKir13XRNfBOHThb4OyvQ8wJFhIWGiAgJhOS8mDNo0BH79RW+wS2uhSKpl3NginZXDA2jaWbS6lucpAsOprWoNCdFXB4/0ygBcRd8kmiOHma3mAa6vVBo7zhoGnYchK59wc/4/EXTSy0PAken5IrwDvQD8AZl0NsGmxJAfdOiJoBE2yw5Xc9XGQG+VR2aZTwPtguYUQREKUYiCGWRd6gXPdjCd1RE/DvFILChK9/HbJ2UVjSQEObi1U7K3G4NdqoJMldQnunBq0YCApAByTUQHeJNfFBSRP+DozXGOshsPPAZAGzFVt+DLZxI0Bzg9sFbic4s8HjApcDWuuhvhQSciE2BcacC5cZYFUUuNb4tXZu/LsPVXYs4ZNPHMVU6x+83rf/Pux6Ag5fDiPGd3zV401AAmyTU/RtWu9eZgpgS47CdqTrdp9OvQzbOn6DbqIXZFMcEHXwJUkE1qMFDIepMyjeX0d+igdblB1baz20NkJdI3rcowmopQhXh2eclAuONmhPhOhESM2D3ClQNQH2F0JMGuSOB20URKfCnmw4/DY+b75zVp4+JjaN181QwS4yDQ7daAWMQ831fEGx6xirNn2DL/dewGNXTcfG4YDySKCIRpIw+5NVBDD5/Nns/vf3Ufm7fuHe57movAlbdoK+ikiMEaJidUOlGgADKBoYjGyphca4cbgMI7HdPA/K9sGnb2BreRMbApgJF36j+xvZj/TKYD388MNBn1944QWOHTvGjh07uhiD3bt3c+GFFx43yeF4HD58+ITHLFmypNtFcZOSknjxxRe7vJ9rKPAttZTPWGBfQGOVii01T+/1RsXD3gRgO/kIioGvA6QNh0tv1j2nvOlg7n7dryA0AZZoiE8Fx92w/n+C9xf+D0Vbamg4+yoSY8wssGWxameFP/Qd2IP1o6+Eo8fULR1jB7b4q7B9/ev6Ma01+qTF+HhABBitn/CbF6OYaHyL9FGPwTfOgKff9J74EsiZCHEJYE2AqnGQdyYkZMOhXVD/TtfrS5+GreoLbN6H3d+wo2uzexLRPAIXRmYwjJPKYMm8CCpeC9jQBi/+jIKrn6KwpB6zUWVvVQuJVJBsbfB3hH1GKKgh0jjhAgaBoSEbujergT8cqxu40YDwriuF3sCoZr0nbLKANQZcLhBuiE2E5CwwR4HJCnEKjD4H5htglQKOj3plyPXf7ejG2DB1XJevl6746oUd3ngUbv4rxMV7DzracbLm7oPdfeMMigOzFLs5ItAQFwN7SWYcSeRT3yXTsuPzRMjJwZaWAppLr8/2FnC2w7B6aKuFxhZorKOYTR2/H58GLqde3s50aGsBayzEJEFyOliTIDYB0MB4hr4tOQO2rAD2demk6KHMLPJzMqAsmUalmDhTWfAYnQvyOUCM589sqt/Pk/9p5W5aOrJBEy3sa4jGQIu/cVcB26gMuPJHbHh9OYnGBv/p/EkSiqIfqYqORQNB74wC00cOo7Ckjqm5CTAsDpKyYPhEOHYNRYUb2Bo9nWlt3SQv9TMhjWE98cQT3H777d16LhMmTPAvPnvzzTeftMBIxb/U0u6vU1TWsfhuftIEiE3XDZYlCowWKI7D5vnUe7O/A7FJIMaA0wFxqXqP50QoKqhGvfEaPwfa7oGtvwtuDMWTFG02YPverRTkJbHjaKN/GMlf4b3/L2IuxYaPdYMl9Ih+MdP0/SPH6MYW9J6YEOAfIxSgebDlJLLo8iv5cNf5XDQxAxKTIPdWKF0D834GMYlgtoI5Rg+txA8DazTMuBRW7QBvr1HXAsUteeTTio31gKdTeBKMhlg0A6RjxGZNPHF5dcY+HD1zLx8mnQ0VRwmaqNv6BravZmH7+g8pb2in2e6i8ZgeWur8EAVp83XjA9qAfIKNVLHXG9Qb4dyOkFXAGCLxufo99i186BvkUBQweBWoRtA8Xk8sGoxm7z4FYlUYPQsuMcJHRmj7oEOQ4QLwdCSw+NAbUAf5WLF5Z4r5jbHSETX2G4+md2HD63Dhjd6GLiDLLLpz6k0ITLue/K13d5s16CPQEH8KuEkAsrBR3214WdeeAJYkMEXpHqrm0o29y60bHNcwSGqBtgby97kpZiv5pIAlRi9rlwVMTv1zfDK0N+tlH50KcUngtOslZTTBxHkQlwUb3gT72iDNrwN200SKPSr5I0wUHzbSQDSJHAA8QUlZObjJUVdyoPUYXwVcM9GJaA1gJBpfuP1yANWALX8EtptWwUtn+etflySJHoZ+bLlJ2HKT9PonhF6vLDGQmMm2injqPNEUlrVgy0vr9vv9RUgGq6yszJ/s0B0mk8k/7nTac+Yiisv+1PE5LY8nN1ZjdbdywdgEbDlngNkC25qAehg3C6xx3vduaLrX1BuDBd7GS4WULJh4ETTUUXxI9zaL8WYwOZ+F/SNg9ndIj7dCD28EsJ05m+LN68DsAQ80CTio5JGfqmLLHQfR3hCPNcFrsKzeBtXbMGkemuxu8jPiO14vf+1DUHINjJmkN2jmKEjMgpgU/WEWHhh+JpyxCL76vV/LLqA5eRLFbg82kwla9LGAQG8kmmxAwYQZUrsPGx+XKhVcKZA3ETImw4xK2LQTqO84ZsMDMPZ8/zpsq1bXgIBmDeI63SJfaLAzvvEiX+iqGMhPSKe4MY58oiHVRn5NaVCaswqQne3NKgloUHzGy/v/ovImthypZ/rwJG+Yx3uswQCqFaIVGH2mXtYfAG2rgAI4czZsCDZYV/o1xlKMis0SrV+XQy/zFgFtnjhSjc3+68kHbJ+9DKNnwEgbgZ0OXKGvk+fn/EXYtr6CjZ10zT3tSgIT2cFwJuL0Hr87yJvxhQdJy9E9UY8JTDG6gTG7weMAjxUciWBth9gEbG1ubEdbgDS9DismvTzdZt3YuV16uWdN6HgmrDH6MUajt2M5VY8ufJkINevBG2bNB3YOH4Ma56G4uoL80UZoTKa4Jo0GNpBocAcOxIGA0coGIDDJxEW+1Uix3RngTcZ5fxcYlgsFT2IrfAwb06CvSRK+OiiELsBiZeqE0RSWdn1FzUAQksGaPHkyzz33HN/97nfJzs4O2ldWVsZzzz03OOv2RQJTp5L/ZgrF1JIPbPfEs69NwWD3MKwabOMzdG/L0QAt9TA6Xw/zRMV6ezKGHns93aKoes8nayxMv5z8Q/spZm1Aj7QFPnkQTEbSoifQ44jCiOmom+egqR+BCnYNDpHBqzUOcMRgi/F6WELTdZpM3spsAE1/mgqGJ+oNaJ53+NcSBWMnd1yPoug9VKNJ1615ICld9xD37aDI/gHF6CH86Jwx5I+Kg+Yk2NZOkfZ5kEGwMonoeCP5mXGQHN378vKR1AyeBsg9A1JzoXEy5M6D0qUBBzngX7/AdvsrkJfEWlr1aI9vPIDgMJXfG+kyeSSRfBo6PN+R2dj2naE3aLmTsNW8D3j81zcW/Ev7BBFYjkBhaRMN7RqFRxqx5SYH1xtF0Xv9MYkwchrM/yHsyYes8ZCcB9suIt/xYZD3ousfRr4lBn+OdPlINA5Rq0CNlkkczf7gq+6tfAUfvwTJD+JbZgmAhGHdFnufSE6GqZfAwTRoWtPDQQr6qhQejIwnJ20cZdWNFEWBrX13UOKOfw5VZp7uCbkc3rocpY8Hejzgsevek9uoG55UF9grIXZYR3RBCP2ZVQ1gdOkhfLvdP4EX0MteNep/ilGPLpxthIp82PxbwOtpXTyL/2zeS6vBQ7HTypXjkrGlJfD33YJydTtZFm8M30VHYrCXYsCmKdgSvR5xpRU9SWas18goeuf4wishbxxkjAr9XgQYLltuMra8burnABCSwXrqqaeYN28e48aN41vf+hZjxuivud63bx9vvvkmQgj+9a9/neAspw82kw2bawtggCn5FG2rpMYtMKQmQkycXtmzpkF7I2RlecMppo73YPQFRfH26uIhdwK2y2/G9k4DBKWvV1P04f/DzE1AD+GV5Fy0eJs3ZbYKjxpNgzOFdoPGnasP8WNLGoum53YYrEBU1T+WpcfHA56qztfjM3LQEWbIGA3nXEbxmi+BRorJ5745U6C5FsrMoLko3laFvqCezrQLZ2FLPIm3XDvsoLVB2giwxOoNeXM5lJYQmF0Hn8H//Z7C3Bu9mjtWYuhpXCWYYRA7A1vLux3HGo2QNkzvrWdNgt2zsdnXBIetkruZT9WJwFfUdFtvfPUqOhFG2PRwc0KKfu0F52P7/MMg/TbANia700lyUNFwYqbONJ56TysZBn2syl+PjrwMRWcGf80cx8nhvZ7ZP4ERW+DNSnTfuzNj0e+Im4nJ+Wx3uEmJTqPY7sJGcLagn+zRkJCpj1l57OBw6J0ntwtElDepxaqPDyZ7wDMC4tK8iQl0GC2h6QbJ44IYk16vO48HWWN142XSDVxRm0oxeeRTope9xcKkEbnsMpnJj3eBxQGmGGY0u/iyzAocAfbrvbhueptFRGFL8j4HlROBRkge2fH7mqZrGDddT6k9WTp7/QNMSAbrvPPOY8OGDTzwwAOsWLHCv05fVFQU8+bN45FHHpEeViAzzofPa0AxYRuVwaQGjcaWeNo8mh7zVg16emx8mh4mA72RD7UeqKr+VMYmw/DJcOHNsOYhoCYgWaGKEfwd6NzI5gJRFDWrlMWMJqepACc7OOoazjEtFqvmptwjWPL5ERYVeBe3VehaaX0PR/cvk+gZg1FvSEcW4OQi3OxC4Wv6Qx6XAhn54Gol/0glxXUV5NOGjVQYPbmPhdQJlxOcbZCQoXt9scmQYYOp5bBtK0Hp3Aeeo8CS64+mBoWXAt6/0G3WXdRoyJsEO9/1boiD5BFgMYExFtJGwegJsHNNcCZfYuIJL6FX71Hzvc0gOhGMZooqWtl2uImphuHYmIMvXblDb3zw5+xMFjmiKHIP47cNGZRqlcQbqojGHVyPPno1+Hvu3mcHdo+3B5+UBNaZkHselHZjsFLHQawZnA5s+WMhKo3iA27yo6Ip2mZFo+PdV35iY3RDExUHWrTuUbna9bEst3cQ1+3UDZrTA45MiAvoQPgbbe8Yo2qgy7yQwGONZj0xw2CiqLkSF2dQ7DNY1jhsI83YcnSPr+hgKcUVteRnjGKWIYrikhhUhuHmc7+9DOSDSjfFrRr5mbHYhg0DRxwMD5gWo6p6gpY5unt9YU7IE4cnT57MihUr0DSN6mo9BpuWltbl9R6nM753EFGcyYK0MdjSU8BkZnpeCltK6piSkwDR0Xq2lyL0FFnf5MuT7bWoKmCAxAwYcxa03wFfPNipET3WJQHAljMVjBa2VrRgSBlOQ9VYjmouSkUm7STiQEMT5oCQQEcD3b2GPqIoYDJDSh5nzF1A8Y6RXGY72xt2MetGPX0StjPbsO1wQsUhyBkD0fEnPvdxEeBJ0L0rRdE9vZRsyC2A2m9A6X+Djrbt0kOFxXQeTSkANgNd06fzSYUR4yBvMuzMRZ+EOU7v3ZuteigqLhUyJ8LOAmwUBgymhxDm7AnffbHEUFh+jEaHkR2eeGxnnQsb1wYcGA0pI4K/a04ERy22jImkfiaoIZ9KUUseB3hdCczC+zz4e46GkxSd0vFPgxEmzITSF7oeljde9xw8TkhIwZaRiS0tFppqeH3baHyJCEH1vlnD5nvcVIMe0jMa9aQLo0M3VkaT3sgbLOBp1qcLdEdvPA5foow1Dlv+WL4qmkq+fRtFeHhvtf6EXjouCdswC7uaNGqVZGg2cOXEFGyZCRQdOsw7VS3EOIvIgqCE2AOkkEEyxY0GbNnjwd0GWXmdfj9grDnCOOmVLlRVxWq1EhsbK41VJwpL6tlb1QLWbIqtZ2EbNw7MFmy5Jr0HpXm8CQsKkApWV3Dc+2RRVP3BSMqCMRdA3W3kFz/XJb3XlwCwkxRsI88Cxci0EcPYJjwcy5yA8aiZJrMZj8uKR3NjUE2YDApFZQ3Ysk7WUHSnWwFrDDbb2dhGjoEE3xQJb88wOQvsk2Bsu559mD1WD3OcDEJ4M+y8UwgMRn28J32MnkRQepigCaFs7+JBbQRs2aPg6Oag7WMZo6eHGy+AMV+DYRMgdTLUJEDmaH0+miVWN1pRcbqXMOYMfS6PXiBdV5E4WVQVhELBiFS2lNQyOWUEOFXgfPT8OoBzdIMdiL0F2mspckXRYmrHbB/DEa2UGE8l6UorxaYewqLO1u629oGAaTIGEwzrbjJ9NiTk6J0NzaHXk+hkvaOjmsk3TaLYtdNf9331fkuNG5vR6A0BoofyjEbvGJURHCZQPPq0AZMFopL0unGyGAzYRmVgu2IOfFzI61UN7K52Y9CcZCVGYctNZmLWMHYJQX5KJsS7QLFQvLcFN1kcNZhwaFsY6RJ6r8gAF2Zlo0SbyM+I1dPqPU49KzEQnzc4iKG8/iJkg7V582b+3//7f6xbtw6n08mqVau48MILqamp4fvf/z533XUXc+bM6UepkYfvLbQQS37+QshLCUhM8HQM2ppVfZkGk7ufDZZ3PMts1R9w26XYjpVjq38z6DCfJzCJ8yF1NKhmPY01O56i9Ch27Y8n1h3PhmoDJbUtaKg0trv1ORwDYbBAb1DjU3VD5AuTCo/eM4yK0zO7HC16eCUxT8/y6g8Cs6BMVr9Hxxkl8NXGoEM7T/xsAsjNh6OpQE3AGFQKtlgznHERjDtX90rHFkBiPGRM0FcW8Lj1azFbIDkNho2B/b5fmNG/9SLgWvX7nABuB9QImH4ubNkB1EPeuR1l70M1gNHE1j0tZGUk025yk1A3lUrqSTZsx0TX5BOdvq96E0xAurTBoIeHmUjQOFb8GL3OmOL0cF58CkQn6GVnicF29jnY1nV4yr7SnZ6Xoj+TJqNexzxu/CE91QRWkz4upRj1MHdUojek1g8oCqTnQe4k8qPr2Zuqj/VNzUsDkwXbyCxsmQm64XE7dcM70UlroaC1PZYaojjk/IyRBn3FjrjEYeRnxuvvF3M06t9JHtH970YgIRmszz//nAsvvJDs7GyuvfbaoIm6qampNDY28vzzz5/2Bqu7MYWgdyxlxeuhQE2fTa6nnvazl+obz4qO0VNtz7sKVpYAHQuW+ueuTDtTb5zN3owmTWNfo4cNlQKjWSMuKgpNUYkxGzkjO2Hg01hVg55ZqHh7g56OlHkShuljCpYofUJmv5WbN8SpKB2D5MkZkD0Njn0Tqt7yH9l54udFDIPMSRA9Fdo+7BiDyp0MCS7IytUzzYSApBF6OSeO0Bs/oemeg6LqUwXSxuoTM8sTYeRkvcc/UPjHVbwGNGO23hkYb9MnxQbi8YAWz7R8jfI99bjt8cTFjie/vI1adyOpHO4++UQNtUORATToY3+BWOPAPBqcAQYrM0sfB4xNATRv4oQ9INKQif5iRn2dQP3+jYIRqd4QmdfzMFm9yUSa902+Hv37vrR0j0ufM9hfWGMguwBbtoZtWsC6oZrmrYcGsLfq9dFgwjbKiC0jFRrLWLp6A/vNZ2JnN+0Mp01Nx9FswjYhT08g8Xh0o32KENJTcN999zFhwgS+/PJLmpubu6wsMXfuXF555ZV+EXiqUVhST0Obq2OGuab5wzOoDEzPxzfQGhsHI6bCxTfD6ocJWigXIHcyJKZ2eBmqypriWiqbDTQ622gTDuxONy6nm/PHjPR6V31MqugLgRmE4DWi3sF7zQNJ2Xqjb4qj2xHoUAlMFlG9SSDDxuheUdV+gtc/9GEEsiAuh6LoERS36T34KwHyz9B7/AnJesOnefRQY70VknP0MJP/Gg0QFa2vG5iRr4+dZI/u/Vy8UPCnPMfouvJngL2FIqeVrVuOMS038MWB3tVMEqxsPebmQGUDZQ0GdrhTGUYmwnWYNFPXV9JgjQlRWy6IxK5p/VGxMHkGbFnZsS1llJ4sExWjJ9GYzR31QjVAaib6ollbAk6UrBtr0O+Lonjvv9e7UoyAx2u4hDc5I1b3hPsLsxXS8rrPtlWtoLj0pdKcKtCmT2Y2mUA1YRrbQsu+JsyoqOQQlxSLLStJn8ivGfTn3tiPWoeYkLqlmzZt4sYbb8RisXS7KG52djaVlV3fpSLRw4SJ0aYO70RVOzyIgXTTFVV/aONTYdQMmHFr12NyR4PJQlFlGy+vP0RReQsXTszAKVTGpseSFmvGrYGqCD7cVcmAGqtur0HRGwzwpvwLfdLxcd6rFBI+b813T4wWSM7UJxRPuqDL4XroL4OvSIPoWIrVYUCad/tIfVHi2LSAJbYUSMyGpOEQl67fF1/4VlH0MZeYRP33siZD0riBD+Eoiu6txidD0ihIG8u2JgONLoVtla16o24062VhjgKjiWkjUhmdmYLRGkVSQg4lztHUecbhdAaWixdTVGh/mcMgPh3SOq2gYDTp4ddAolP1zkVMsv7/qDhdq2+JKmMsmDODv5OR7Z1YbdTPCd75V249TCrcgEH/vsG7cojB1LG6SH+gqvoE+sQelrMzmvRrsETrY50G7zyuxAw0UwqZjKeGXM6dYuPa8yZjG5Wtdz7MMbr33l/h8jAgpFI3mUxd3jsVyNGjR4mNPclB8FOUblOPfYOg/n8PAN7QQlFZA1sPOpmWeia20bfAAV+m1Rl6z1FRvRNQPRQeaeDGWSMYOyyeLUfqiYu28Nm+GqqaHFw0MfP486sGCr/X5fHaywEymr5MKl9IxhwFqSMgeyqUX0ZR/budXg0xkjPS88FiJn/yOIrXTCafI5A2CWKzwNUKvmdCUfR0cYNFDy0ZvHN3wJsWreoNU+oIvbFJHT4w1xh0vV4vy+pNrfe4mBqbQGG1g6l5egp2wMHe3r+RrOQYxqWP5dCRMorrcznkPEaMVk6OpyXohYSEslwWQFomRDfDsG4mHidno78PzDsfLy5LD9tZYjruXeD1WeP1ifm73+3YnpDm7SiogHcCsEF4Q59ubxja+zpug0E3FELTjVd/4ctKPV5d9q0M4+vcOI3gaCV/1EjQBPmJGdjyRutGzYfH7S2HUycZLiSDNWvWLJYtW8add97ZZV9raysvv/wys2fPPlltpxeD0eArCoWljTQ6FbZpCdimL4DmGjhWCFN+AKoFVAMFI1I6JqCqBmzDU/wrJyyantvhCQwB/jHA3HhsWXHo2U4D8EAGpuwr3nGN6Hg9TDeugOINHwKOjiWvzpyhr9SNAdvw0dgKzoaKGO9KEhn6PCSTCVAoOtrAlsPVTB+ejC03hqKyBrYcqmZ6bgK23BRvwxjlHXtQdU9hMFAU3YhGJ4DHgy09Ddv4nsNJenhbQLSCRzHjVNNpNORRrtUQ795CvIDXjd6wqBqiRxI9DMypXT0sVdW9a7KBMsDgnVtm8XrI3dTRqBhIy4XdvokG6BOnjcbgY4XQO0XCpBst4dHDhB434O776jO9wWg68TG+lWFUA6gqReWN7KxpY9KYEdhiNEhM6RpWPMUIqRY98sgjzJ49m8suu4yrr74agO3bt3Pw4EGefPJJqqureeCBB/pVaKQRlFwxwC816wsFI1LYcriGqdmp+hJEZ18JtWfC8AJ/JlpXL9A7iTkM5m74xwBLm7BlD1CGog/Vu1yUgt5IWWP1CaM5U8jf+02K6//bsbrDsAmQNFovQ2ucnq5uUWHYKP2z1tHQbTlST32bh62l9diGp1B4uI7Gdrf+OTcJhOr9vTj0d7WHOP7TVxRFbzijYgMMbM/4VtaYlhPLu3WtDItNxNEymjqtkmPOauI1fRHf14F8LQ5bUgj3yxIFKN3PQ7PGQV4+lJQDQh+/Ug0d2bedjYrJDCk56O9yO6hvix3W9bjA8LzBey5N867kfrIToHugLwbQYARLHFuPldDiNLOr1oEtI8O7rmfAM3oKGq+QDNbMmTN57733uPXWW7nuuusA+PnPfw7A6NGjee+997DZTrxIzalMl+SKMMGWk6inMWse/W/4FEgZrq+00VMvz/cwhUH9L8hLYuX2ctqcborKW3QvayBDHoGTLA0mfWwpKRvb9HOxfVwJ2jrgXMiY6H3xnVlvGK0pemZgfLp33KPjUZs+PIktJXVMy4kHISgYnsCWI/VMy03oaBz9BkvRw1CDhaJ4xz1OvCyYv2Ojaew71sTRqnj2trRg9+QRRSMpWilJHmgywPbGOGz5I/qux5mmZ8THd2PsrFbIyYe6vfq9scR0JFB0p11R9XtEJvrCvFrHIs7HQ/GGAw0GMIqOKSlDiaoybUwuWw6UMzEjCqKt3nBlwEOqeP9zuocEAS688EKKi4vZtm0b+/btQ9M0Ro8eTUFBQUhvJz6VKCpr8M6/gq9N6IdFP/sb37gM6B5DVFzvBmZ76rkOIracxI7OwJEGPcw5kJ5s0Goe3pBMTBKk5YNtBlQnQvYEfZDfFKc3EkaDnlrtsetGRzV615nTw1SdPVj/Z996dGiA3kAWVTvYUnaM6SPSdO9roPFdb1+SgFSVJrvG2Lx0Co9W0EYWZqqpUkaT4D5IlSGP/KQU3QPoK6YofTypuyxJ1QA546Fhpz+cfVzNigKWRD1EW5cNeLxjR30g8HUuQ4z/lR9Oh76UlNHU6fq9/z6F2uOTLvmpU6cyderUfpBy6lBYUk+02UhitCmsvKsgfFlpBu+M/t6OS4VB5Q9c5HVQPNnA0KBq1Ae2kzMg16anoKeP9U5QNXtfL2HU5zRpTn21Af/bW31lpxvA5VtK+XDXMS6alMmiglx9l9ulGy6PB1SVrWUNNLR5J2kPhsHyXa+X3oa2C0amsfVQFRfmj2LT3hJcprGUO2owYaKdYRTXaKGltntMHW8D6Iyi6NmXWVMATe90dfImuuiPToT04VC3BxAQldqn6wxLzJZujFUAYfDM9hchGSxVVUlPT+e1117jggu6pvm++uqrXHfddXg8Jzu7PTIJWjU7nPHNz1KIqLBBZw9lcMo6YEKxybuEUlKe7gGk5enGSjXoGWYmM7gMuifmTwIIPJW+ksaHu6qob3OzeldVh8HyGUc0EArTcpPYUtrA9BEnXq19IPB1CFZuLz9ug27LSdTn5WkjKdqfxurNcezZf4wKl4laMphgtIYW2nT7yqMbFEVPvIjLRB/rs4CiBBmfLh0as0V/o3eptzzjk4OuM9xC+L3mNFkWL2QPy263c9FFF/HEE0/w05/+tD81RTz7qprZcLCWeKsx/Ct/GIT5ToZerVDeH6gBDadq0ENJcSlgNFFUr1F48AjxViNN7S4KMq3YUowd7zPrgYsmpuse1sT0jo2Kip6yr88zs+Uk6p6VoRdZZH2g156Tt9Fvc7pP3KB7J8DbRuViS4/mtj9V0GKy4CKeBZPTvZNv+8iJEn2iY/U5bb6VSVRDkPHp0nk0W/Rko8xMfazQuwpExHQyT3NCNlhPP/00Gzdu5K677mLz5s387W9/w2o9dSaonQyrd1VR3+YK7jmHMxFqrAYd/9wsdAMSHa83kPuqadCMbDhYS35GPFuONmFLH+ZdWsdIkHcGXg8LFk3PZdH04cG9Y9/4ouah6EgtW0vrmTY8ud9fPd5bj8LXIQg0cMdFMYAqwBiDbdJwvtzh4fzx2dgyo/X18Pobk0lf3Bn8qfOBxqdLh0ZR9WzC5DH6vfSuMjJoHR/JSRGywTKZTDz77LPMnDmTW2+9lV27drFixQqGDx+ESY5hzsUT01m9q4qLA3vOksinu7lZKBSMNlJ4tI2LJ6bTZHczPTdeN2gm7ytRjhuu6Sb10utlbS3VjcqWI/X9brD66lH0ukFXVT0tPyqaFqESnZRKixpzciFnX5Zet7/nnW4QEDY8rlZV1b2q1BF6h8LU8zwzSfhx0kkX1113HTabjUWLFlFQUMDSpUtP/KVTnLHpcTTZ3YxNH6QJnyES0QPNQ4U/NOh9UZ/Zgi03BtuIgM6JEOCyB2djdiEg87DLLgXQx6+2ltYzLa//x6/606PoUo8MRnA7qWw1U9UkiI8bQMPgy9rzLR7dG6yJFLWrFFe0kZ/ZgG14L1LbJWFBv+RnTp06lcLCQr773e8yf/58zj///P44bcSycns5e6uaKW9oD2tDEOkDzUNmcH2hQd+KCp2NjqJ0rLzek8FS1eOPHaqGDqMS5gkx3dYj1UhKSgJ1DkFcSuLACujryiuWKIrrVVq1aN17DRODJTuQJ6bfnoTExETeffdd7rvvPj755JP+Om1EUt3soKy+nepmx1BLOS5dFuKNMAIbykHF6wEd/xi1Y7rAcc/TAxGU9dVtPVJVLrNlM3tiJgum5QysgG7KsaisQV/Auayh6/EmC/l5w4lKTGT6iNSu+4eIIavPEURIHtahQ4dI67y2F6AoCo888ghXXnkltbW1Jy0uUkmLs5CTFEVaXHjHxyN9oHlIM7sCswa7ozdG7YS/4X0VSZh5WJ0TMHryCmy5KfqqKkOgv7CknuJKPVv3trljgrWpKraxY7GNEV3f9zWEyEzFExOSwcrLyzvu/smTJ4ck5lRhwZQsWfEGgSE3uIHLNnXZ512B/2QyMNUBeKFnPxDoCZQ3tLO3qqX78LeqgtqPq5r3gYK8JDYcrCUx2tw15K2qHUs4DQE9hf76oz6f6mHFXhmsRx99FEVRuP/++1FVlUcfffSE31EU5bRdAHfIG1LJ4HAio3SKThcI9AT0JcjCYJHJTthyErlt7pieO47mqCFbHHYgx44jfVz6RChCnPiuqaqKoii0t7djNptRe9HrUxQlYle6aGpqIiEhgcbGRuK7W3RTIpEAp36PfiAYyDKLxPvRl/a2VwbrdEMaLEk4EYmN0GASqeUTqbr7m760t+EXIJdIJEGEc/bYcbPxBolwLp/j0R+6w6H8BxNpsAaA060ShSvhfh+WF5byo39uZnlh6XGPC+fpB+FgLMK5fI7H8XT3tu6GQ/kPJr1Kuhg5cmSf33GlKAoHDhwISVSkc6oPfEYK4X4ferPmZDiFjbrTEvRCzbKGIdF4oiSncCrDQI6nu7d193RLhe+VwZo9e/Zp/1LGvnC6VaJwJdzvQ2/WnAwno9udlqAXaoaBxu4Id33d0du6e7plJMuki26QSRfhS7j2lnviRHpPdv9g0pOWcNLYHeGu73RHZgmeJNJghS8vrz9EQ5uLxGgTN547cqjlnJAT6Y2065EMLaei8e1Le3tSi9+6XC727NlDY2MjmtZ1xn93byOWSE6GcA/zdeZEeiPteiRDSySGN/uTkDwsTdO49957ee6552hra+vxuNN94vCp2BsaTE6n8judrjVSGOh7Esr5T8V6MuDzsH7961/zxBNPcO211/KPf/wDIQS/+c1v+Otf/4rNZmPKlCl88MEHIYk/lQinlNNwT/HujnAqv95wMmUcadd6OjDQ9ySU89tyErnx3JGnjLHqKyEZrCVLlnDVVVfxl7/8hfnz5wNQUFDAzTffzIYNG1AUhTVr1vSr0EgknOaHRGKDGE7l1xtOpowj4VojsdNzMgz0PYmEe94TQ1UXQhrDKisr45577gHAYtFfoWG32wEwm81ce+21/OEPf+DXv/51P8mMTMIp5TQSx0rCqfx6w8mUcSRc6+k2fjLQ9yQS7nlPDFVdCMlgpaSk0NLSAkBsbCzx8fEcPHgw6Jj6+sjpyfc34RBn7qwhkh+OSCGUMg6HunIifBrjrXpzcSKDHAnXJDk5hqoDHJLBmjZtGps2bfJ/njt3Lk8//TTTpk1D0zT+9Kc/MWXKlH4TGWmEQ080HDRITsxQ3Ke+GhSfRqBXqfey7p36BHbOBrODEtIY1i233ILD4cDh0F8B/9hjj9HQ0MAFF1zA7NmzaWpq4ve//32/Co0kwiE2HQ4aJCdmKO5TX8fa+qKxqKyB8oZ22pxuWfdOEwZzfLzfJg43Njaydu1aDAYD55xzDsnJyf1x2iFBThyOLGQIqm8MRHn5zlne0E602SgnQp9GnGx9GrSJw4EkJCTwzW9+s79OJ5H0GhmC6hsDMZ4ZGDaUnv3pxWCOj5/0ShdHjx6lvr6e7hy16dOnn8zpJZJeEYkZkD0Rqd6i7x58bcKwiNItiSxCMlgNDQ3cfffdvPrqqzidzi77hRAoihKxK11IIotTKQMy3L3FngzqqXQPJOFLSAbrhhtuYOXKlXznO99h5syZJCQk9Jsgh8PBgw8+yD//+U/q6+ux2Wz86le/4uKLLz7u9x5++GEeeeSRLtstFot/jphEEu6Eu7cY7gb1dCJSvfGTISSDtWrVKu644w6eeuqp/tbDDTfcwLJly7jzzjsZO3YsS5Ys4dJLL+Xjjz/mvPPOO+H3//KXvxAbG+v/bDAY+l2jRNIX+tKwhLunEu4GNZBTvUE/HTsPIU8cHjNmTH9rYePGjSxdupQnnniCu+++G4DrrruOyZMnc8899/D555+f8ByLFy8mNTW137VJJKHSm4YlUhrXcDeogZzqDbqv8xBvNfLy+kNhX3f6g5DnYS1durTbV4qcDMuWLcNgMHDLLbf4t1mtVr7//e/zxRdfUFpaesJzCCFoamrqNglEIhkKejOPKRLXegx3TvW5iL6FcJvs7tOm7oTkYT3wwAM4HA7OPPNMvve975GTk9Nt6G3hwoV9Ou/WrVsZN25cl1z8s846C4Bt27aRm5t73HOMGjWKlpYWYmJiuOKKK/j9739PenrPryCXSAaa3nglkRRqixQiyRsMpK/e9ulUd0IyWEePHmXNmjVs27aNbdu2dXtMKFmCFRUVZGZmdtnu21ZeXt7jd5OSkrj99ts5++yzsVgsfPrppzz77LNs3LiRzZs3H3dCWuCqHaBPZJNI+oveNECR2rhK+p++hjJPp7oTksG66aab2LJlC/fee2+/Zgm2t7f7V38PxGq1+vf3xE9/+tOgz4sWLeKss87immuu4bnnnuN//ud/evzu448/3m2GoUTSH5zqYymS/uV08pj6SkhLM8XExHD33Xf3eyM/efJk0tPT+eijj4K279q1i0mTJvHXv/6VH/7wh306Z2ZmJpMmTeLDDz/s8ZjuPKzc3Fy5NJOkX4iUhAqJZCgY8KWZMjIyBmStwMzMTI4ePdple0VFBQBZWVl9Pmdubi51dXXHPcZisXTr2Ukk/cHpFLIZCmSH4PQhpCzBn//857z44ov+d2L1F1OnTmXv3r1dxpA2bNjg398XhBAcPnyYtLS0/pIokUjCjJXby1lbXM3K7T2PcYczp9ubnE+GkDwsu92OyWRizJgxXHXVVeTm5nbJElQUhbvuuqtP5128eDFPPvkkL7zwgn8elsPh4OWXX2bmzJn+DMEjR47Q1tbG+PHj/d+trq7uYpj+8pe/UF1dzfz580O5TIlEEjFE7jQWOcbZe0Iaw1LVEztmoa4leNVVV7FixQruuusuxowZwyuvvMLGjRv56KOPuOCCCwCYM2cOn3zySdBcq+joaL797W9zxhlnYLVa+eyzz1i6dClTpkxh/fr1REdH91qDfL2IRNJ/DHTILtJDgpGu/2QZ8DGsQ4cOhSSsN/zjH//ggQceCFpL8J133vEbq5645ppr+Pzzz1m+fDl2u528vDzuuece7r///j4ZK4lE0r8MtAcR6WOEka5/MOmzh9Xe3s7999/P3LlzWbBgwUDpGlKkhyWR9B+nuwchOT4D6mFFRUXx/PPPM3HixJAFSsIH2ZhIBhrpQUj6i5CyBAsKCtixY0d/a5EMAXINO4lEEimEZLCefvppli5dyosvvojb7e5vTZJB5FRfIFQikZw6hJQlaLPZqKmpoaqqCovFQnZ2NlFRUcEnVhS2b9/eb0IHEzmGJRlMZFg2fJD3YvAZ8CzB5ORkUlJSyM/PD0mgRCLpQM7DCR/kvQhvQjJYa9eu7WcZEsnpi1zsNHyQ9yK8CSkkeKojQ4ISiUQyOAx4SBDA4/Hwr3/9i3fffZeSkhIA8vLyuPzyy7nmmmu6faGjRCKRSCShEpKH1djYyLx589i0aRNxcXGMGjUK0FfAaGpq4qyzzuKDDz6IWO9EelgSiUQyOPSlvQ0prf3++++nsLCQP//5z1RXV7Nlyxa2bNnCsWPHeOaZZ9i8eTP3339/SOIlEolEIumOkDys7OxsFi9ezB//+Mdu999xxx0sW7bsuK+0D2dOdQ9Lpu5KTnfkMxA+DLiHVVtbe9yU9vHjx5/wpYmSoUOubiE53ZHPQGQSksEaM2YMb7/9do/73377bUaPHh2yKMnAEq6rW/T0Ijv5gjtJfxOuz4Dk+ISUJXjbbbdx++23c+mll3LnnXcybtw4AIqLi/nTn/7E6tWreeaZZ/pVqKT/CNfFSHuatCknc0r6m3B9BiTHJ2SDdezYMX7zm9/wwQcfBO0zmUw8+OCD3Hrrrf0iUHL60NOkzdNxMqccY5FIunJSE4dramr48MMPg+ZhXXTRRaSmpvabwKHgVE+6kIQ/L68/REObi8RoEzeeO3Ko5UQc0uBHDoMycRggNTWV73znOydzColE0g2R7FWGg7GQYeRTk5MyWM3NzZSUlFBfX093jtqJXmsvGXzCoTGRnJhIHmMJB2MRyQZf0jMhGaza2lpuv/12li9fjsfjAUAIgaIoQf/27ZOED+HQmPQX0viGJ+FgLCLZ4Et6JiSDdfPNN7Ny5UruuOMOzj//fJKSZC8mUgiHxqS/CGfjezobU2ksJANFSAZr1apV3HXXXfzud7/rbz2SAeZUakzC2fiGszGVSCKVkAxWdHQ0I0aM6GcpEknfCGfjG87GVCKJVEJa6eLaa69lxYoV/a1FIjllsOUkcuO5I8PWoIaCXHFEMtSE5GEtXryYTz75hPnz53PLLbeQm5vb7fuvpk+fftICJRJJeCDDnJKhJiSDdd555/n/vXr16i77ZZagRHLqIcOckqEmJIP18ssv97cOiUQS5oTzmKHk9CAkg3X99df3tw6JRCLpN07naQWnMiElXQRSUVHB9u3baW1t7Q89EolEctLI912dmoRssN566y3Gjx9PTk4O06dPZ8OGDYC+IO60adNkFmEEIrPAJKcK8n1XpyYhGayVK1eycOFCUlNTeeihh4LWEUxNTSU7O5slS5b0l0bJICF7pZJThVNxWoEkRIP16KOPcsEFF/DZZ5/x4x//uMv+s88+m61bt560OMngInulEokknAnJYO3YsYOrrrqqx/3p6ekcO3YsZFGSwcUXCgRkr1RyXGTYWDKUhGSwoqOjj5tkcfDgQVJSUkIWJRlcZChQ0ls615VINGCRqFmiE5LBmjt3Lq+88gput7vLvsrKSv72t79xySWXnLQ4yeAQqaFA2fAMPp3rSiR2diJRs0QnpHlYjz32GLNmzWLGjBlceeWVKIrCBx98wJo1a3j++ecRQvDQQw/1t1bJABGpE0LlUkGDT+e6EomrX4SbZjlnrPcoortXBfeCnTt38tOf/pSPP/44KEtwzpw5PPvss0yYMKHfRA42TU1NJCQk0NjYSHx8/FDLkfSAfNAlpwIvrz9EQ5uLxGgTN547cqjlDDp9aW9DNlg+6uvr2b9/P5qmMWrUKNLS0oDgNxBHGqeTwSoqa2Dl9nIAFkzJkg2/RDLInO4dr760tyGFBANJSkpixowZ/s9Op5MlS5bw5JNPsnfv3pM9vWSAKSypZ29VCyBkaK0PnO6NjKT/iNSQ/FDQJ4PldDp5++23OXDgAElJSVx++eVkZWUB0NbWxjPPPMPTTz9NZWUlo0ePHhDBkv6lIC+J8oZ2/78lvUOOn0kGE9lB0um1wSovL2fOnDkcOHDAP2YVFRXF22+/jdls5rvf/S5Hjx7lrLPO4s9//jMLFy4cMNGS/kP27kIj3AbuJac2soOk02uDdf/993Po0CHuuecezj//fA4dOsSjjz7KLbfcQk1NDZMmTeJf//oXs2fPHki9EklYIA19+NJbbyRcvJbe6OhLB2kwrmuoyq7XBmv16tXceOONPP744/5tGRkZXHnllVx22WW89dZbqOpJL/4ukUgkJ0VvvZFw8Vp6o6MvHaTBuK6hKrteW5iqqipmzZoVtM33+aabbpLGSiI5TQj3Cdu9nQgfLhPm+1vHYFzXUJVdrz0sj8eD1WoN2ub7nJCQ0L+qJBJJ2LJyezl7q5opb2gPy7Bob72RcAnr9reOwbiuoSq7PmUJHj58mC1btvg/NzY2ArBv3z4SExO7HD99+vSTUyeRSMKU8JhjGS7jUJLBodcTh1VV7XYicHcThH3bPB5P/6gcZE6nicPhzKnaGIX7dZ1IXzjpP91XiTgVGJCJwy+//PJJC5NI+kJ3A7vh1FiGSrgM9vfEifSFSygNTt3pBadCPR8Iem2wrr/++oHU4cfhcPDggw/yz3/+k/r6emw2G7/61a+4+OKLT/jdo0ePctddd7Fq1So0TWPu3Lk89dRTjBo1ahCUS/qb7hqjcG/se0O4NrK+RjLeqjcL4aavO8LJePYnp0I9HwhOei3B/ubqq69m2bJl3HnnnYwdO5YlS5awadMmPv74Y84777wev9fS0sL06dNpbGzk5z//OSaTiaeeegohBNu2bevT+7lkSDB8kT3PgUOG14aWwHU9x2fE0WR3nxb1fFDXEuxPNm7cyNKlS3niiSe4++67AbjuuuuYPHky99xzD59//nmP333uuefYt28fGzdu9K9t+PWvf53Jkyfz+9//nl//+teDcg2SgeVU61F3NsBDaZC78/w6L44MhFWHoS/ltbywlNW7qhifEUdCtDlsrsFH4LqeWYlRJ+w0hEvdGczfDavJU8uWLcNgMHDLLbf4t1mtVr7//e/zxRdfUFpaetzvzpgxI2gh3vHjx/O1r32N//73vwOqO9II93k0pxOdXyYY+Nl3n5YXlg7K/bLlJHLjuSNZs7uK+U+v4+nVxf5GdG9VM4Ul9WH38sOe9HRXx1fvqqK+zcWb28pZuf0oj7+3OyyeAZ/WeKuRcemxjEuP61U49nh1ZzAZzN8NK4O1detWxo0b18UtPOusswDYtm1bt9/TNI2ioiLOPPPMLvvOOussDhw4QHNzc7/rjVTCrdE5nek8ATPws+8+rd5VNaj36/2dVTTbXby/s4qCvKSgRjRcJtv66ElPd3X84onpJEWbyEuJprHdjcOthcUz4NPaZHdz/2UTuf+yib3yVI5XdwaTwfzdsAoJVlRUkJmZ2WW7b1t5eXm336urq8PhcJzwu/n5+d1+3+Fw4HA4/J+bmpr6rD2SCNdB/9ORziHOzp8LS+q5eGK6fzxjMJg/KZ33d1Yxf1J6tyHYcAqj9RQi7q6OLyrIZVFBblCYMxyegVCfxxPVncFiMH83rAxWe3s7Fouly3bfihrt7e09fg8I6bsAjz/+OI888kif9UYqp9o40KnKUN2nOy/O586Lu+/cRQrHK7twq//hpiecCauQYFRUVJCn48Nut/v39/Q9IKTvAtx77700Njb6/443ViaRSCSSoSGsPKzMzEyOHj3aZXtFRQWA/2WRnUlOTsZisfiP68t3QffMuvPOJBKJRBI+hJWHNXXqVPbu3dtlDGnDhg3+/d2hqipnnHEGmzdv7rJvw4YNjBo1iri4uH7XK5FIJJLBI6wM1uLFi/F4PLzwwgv+bQ6Hg5dffpmZM2eSm5sLwJEjR9izZ0+X727atCnIaBUXF7NmzRquvPLKwbkAiUQikQwYYbfSxVVXXcWKFSu46667GDNmDK+88gobN27ko48+4oILLgBgzpw5fPLJJwRKb25uZtq0aTQ3N3P33XdjMpn4wx/+gMfjYdu2baSlpfVag1zpQiKRSAaHiF3pAuAf//gHDzzwQNBagu+8847fWPVEXFwca9eu5a677uJXv/oVmqYxZ84cnnrqqT4ZK4lEIpGEJ2HnYYUDjY2NJCYmUlpaKj0siUQiGUCamprIzc2loaHhhC8DDjsPKxzwrYrhGzOTSCQSycDS3Nx8QoMlPaxu0DSN8vJy4uLiun1ppa9HEIkemNQ++ESqbpDah4JI1Q2haRdC0NzcTFZWFqp6/DxA6WF1g6qq5OTknPC4+Pj4iKtQPqT2wSdSdYPUPhREqm7ou/YTeVY+wiqtXSKRSCSSnpAGSyKRSCQRgTRYIWCxWHjooYcicjknqX3wiVTdILUPBZGqGwZeu0y6kEgkEklEID0siUQikUQE0mBJJBKJJCKQBksikUgkEYE0WBKJRCKJCKTBkkgkEkmvGOocPWmwJEPKUD8AEslg0djYONQSQua1114D6HapusFEGixg69atHDlyJKhCRUpD2tbWNtQSQuLgwYO0tbVht9uHWkqf2b59O/v27aOsrMy/LVLqy1tvvcVtt93GwYMHAX3dzEjgP//5D3Fxcaxfv36opfSZN954g0suuYSnnnqKw4cPD7WcPrF06VJGjx7N1VdfzWeffTbUck5vg7V7927OO+88vva1rzFlyhTOOussli9fjtvtRlGUsG6EiouLKSgo4Ac/+MFQS+kTRUVFXHbZZSxYsICRI0cyZ84c1q9fH9Zl7aOoqIiLL76Yyy+/nIKCAqZMmcKf/vQnf30Jd1avXs23vvUt/vnPf/LOO+8AnHCx0aFm69atzJw5k5tuuonLLrssotbWKy8v57LLLuO6667DbDYTHR1NdHT0UMvqFb5yv/7664mLi8NqteJwOIZaFojTlKqqKjFt2jRxzjnniJdeekm89NJLYtasWSIxMVE89NBDQgghNE0bWpHdoGmaWLZsmRg3bpxQFEUoiiLWrl071LJOiNvtFn/6059EWlqamD17tnjwwQfFbbfdJnJzc8X48ePD+hqcTqd47LHHRGJiopg9e7b485//LP7zn/+IOXPmiPj4ePHGG28MtcTj4qvHhYWFIiUlRURFRYmZM2eKbdu2CSGE8Hg8QymvW9ra2sSNN94oFEURs2fPFm+99Zaoqqoaall94qGHHhITJkwQr776qjhy5MhQy+kVjY2N4rrrrhOKoog5c+aIt956S7z77rvCarWKJ598UgihP8tDxWlrsJYuXSqMRqNYtmyZf1tZWZn49re/LRRFER9++OEQquuZAwcOiMmTJ4uUlBTxq1/9SkycOFHMmjVLuFyuoZZ2XN5//30xatQocdNNN4k9e/b4t69fv14oiiJ++ctfhu01vPvuu2L69OnizjvvFHv37vU/sPv27ROKoojf/e53Ydm56cyyZcvEJZdcIv76178KRVHEfffd57+WcNLvdrvFY489JhRFETfffLOorq7usW6Ek+5Ajhw5ItLT08Udd9zRZXsg4aS/tbVVjB07VowaNUr85S9/ESUlJUIIIQ4ePCiSkpLEwoULh7xzc9oarN/+9rciISHBfwOcTqcQQu+FnnXWWWLy5Mlh2aMrKSkR9913n793/OyzzwpFUcSLL744xMqOzx/+8AcxYcIEcezYMf82h8MhhBBi1qxZ4uKLLxZChNcD7OOzzz4Tv//974O0CyHEihUrxLBhw8Rrr70mhAhP7UJ06NqwYYNISEgQQghx0UUXiczMTLF69eqgY8KFzZs3i3PPPVeMHz/ev+2tt94S119/vbjnnnvESy+95K8/4ci6detEdHS02Lt3rxBCiH/84x9i4sSJYuLEieKKK64Q//73v4dYYTC+dvDzzz8XO3bs8LeHPmbMmCHmzJkj7Hb7kNaVU95g+W5E50J+6qmnRFxcnPj444+FECKop/naa68Ji8Uifv3rX3f73cGiJ+12u93/7+LiYnHJJZeInJwcUVNTM6j6eiJQd6D24uLioP1C6OU+Z84ccd5554n29vbBFdoNPZV5Zz799FMxefJkER8fLx5++GHx1Vdfifr6+qBzDDYn0r5s2TIxZswYIYQQW7duFYqiiOuvv17U1dUd93sDTU+6fZ7gz3/+c3HJJZcIRVHEmDFjRFxcnFAURSxcuFDs2LEj6ByDTU/aN2/eLIxGo1ixYoV46aWXhKqqYvHixeL6668Xw4YNE4qiiJdffnkIFHfQm7quaZrweDzixz/+sUhISPDX8aGqK6eswfKNO3T2PHwFvXr1amGxWMTDDz/s3+a7gZWVleKqq64SaWlpQ9KL60l7T7z22msiKipK3HPPPQOs7Pj0VbfPoE2bNk18+9vf9m8bCnqj3Vc/fvnLXwpFUcTcuXPF9ddfL77//e+LxMRE8Z3vfGew5AZxIu2+Mt24caOIi4sT5eXlQgghvv/97wuLxeLv7be2tg6OYC8nekZLSkrE4sWLhaIo4sILLxTvv/++KCkpEUePHhX/+7//K1RVFVdeeeWgavZxojLfvHmzSE1NFddee62YMmWKeOCBB0Rzc7MQQoiioiIxb948kZKSInbv3j2YsoUQfX9OhRDigQceEIqiiLfffnsAlZ2YU9JgrVu3TkyaNEkoiiIuueQSsWvXLiFE18Zw+vTpYtq0aeKrr77qsv/VV18VRqNR/OUvf+n2u0OtPXDbsWPHxE033SSsVqu/xznYDX9fdAdSWloqYmJixOOPPy6EGJoB3d5q931esWKFeO2110RNTY1/27333itUVRVPPPGEEGLwevx9Kff//ve/Yty4cf5Qd1NTk4iOjhZz584VN954o/je977nN2bhovvVV18VN9xwg1i/fn2Xfddcc41ISEjwN6Lh9oyee+65QlVVkZqaKj7//POgfatWrRLJycnipz/9qRAiPOtLoK5PP/1UKIoi/vvf/x73+IHmlDNYX3zxhRg/frwYMWKEuPLKK4WiKOK3v/1t0KCtr1F86623hKIo4le/+pU/HOXbV1xcLHJycsQtt9wyaJWpN9p74qOPPhLZ2dniW9/61iAoDeZkdK9bt04oiiI++OCDQVDalb5oP95Dum/fPjFmzBgxZcqUoJDtQNJb7T7dn376qYiOjhalpaX+fVdffbUwGAzCZDKJhx56SLS0tISFbp/mxsbGLmOHvuO+/PJLoShKUJQkHLT72pD333/fn8nr86R8EZtjx46J+fPni9zc3LCrL92xY8cOkZSUJH7yk58IIaTB6jd27dolLBaLeP3114UQQpx//vli7NixYv369d0ef+mll4qsrCyxcuVKIURwD3/SpEniuuuuE0IMzg3qq/ZAXS0tLX63/aOPPhJCCPHJJ5+It956K+i4cNHt47nnnhNGo9EfLnG73eLAgQNi8+bNA65biJPTLkRwz/jss88Ws2bNGrQGqLP2Cy644Ljaly5dKvLz80VDQ4P4+OOPxXnnnScMBoOIj48XY8aMEZ9++qkQInzLvHPovrq6WiQmJg5qKLyv2q+55hqhKIr44Q9/KIQQQcZh8eLFYuLEiaKxsXHghYuTq+vHjh0TeXl54mtf+5poamoaaKk9ckoZLJ+xCeyR+Xrwd9xxh79iBDYyJSUlIjY2VsyaNUts2bLFv/3LL78U8fHx4pFHHgkr7d01Jr7r2bNnj5g+fbo444wzxCOPPCJyc3NFSkrKgGY7noxuIYRYsGCBOOecc4QQenjwX//6l5g2bZqYPn26qK2tHTDdJ6u9s9f9wQcfCJPJJO68884BVNxBX7T79H/00UfCbDaLyy+/XBgMBnHuueeKdevWif/+97/+RnWgx2z7s8yfe+45oSiK+Nvf/jaAijsIpX0pLS0V8fHxXaIIO3fuFKNHjxbXXnvtoHSG+6PcFy5cKCZNmiRaWlqkh9VXli5dKn74wx+K3/zmN2LdunX+7YEF6Svo66+/XiQmJoo333wz6By+m7hkyRIxfPhwMXLkSPGnP/1JvPjii2LBggUiNzdXFBUVhaX27igpKRE33HCDPwzxzW9+Myj8E066NU0Tzc3NIjMzU3znO98RH374ofjGN74hFEUR8+fPF2VlZf2mu7+1B1JeXi5WrlwpZs+eLSZOnOgfDw1H7evXrxc2m01MmDBBPPPMM6K0tNT/DJx77rni5ptv7leDNVBlXllZKVasWCFsNpuYPXv2gGTH9mf7snTpUpGZmSmSk5PFzTffLH7961+Lr3/96yIpKWlAQuEDUe6apolf/epXQlEUf7bvUBitiDNYlZWVYt68eSImJkZMnz5dJCUlCYvFIh566CF/ymXnyZBlZWUiNjZWLFy40N+AezyeoAJfu3atOPfcc0VCQoJISUkRNptNfPbZZ2GrvTOffvqpmD9/vlBVVUybNq3XIa2h1L1//34RHR0tpk+fLmJjY0V+fr4/nBnu2teuXStuvvlmsXjxYhEXFyemTJkiNm3aFJbafWEop9Mp1q1bJ7766iu/YfJ9rz+nFAxkmf/oRz8SV199tYiNjRXTp0/3z0cMR+2B7cv69evFvHnzRGJiohg2bJiYNm1akDEJN+3d8dRTTwlFUYIWWxhsIs5gvfLKKyI5OVm8+uqrory8XNTW1oobbrhBxMXFidtuu63L8b4b89hjjwlVVcULL7wQVJEC/93e3i6qqqr6veEZKO2BfPjhh8JsNotnnnkmYnSvWbNGKIoihg0bNiC6B1L7ypUrxZgxY8ScOXPESy+9FDHaB6NXPFBlvmzZMhEbGytmzpw5YGHAgWxfHA6HqK+vF9u3b48I7T58BqyiokIsWbJkQLT3logzWLNnzxazZs0K2tba2iquv/56oSiKePfdd4UQXXsJTqdTjB49WsycOdM/+/zAgQNBMd2BzgYcSO1CDFxKeH/rDhxTe/7557vMqo8U7QcOHBjQOtOf2vfv39+lvkSC7s5lvn379gGd+iDbl+61h8tKKBFjsDwej7Db7WLevHni3HPP9W/3hTsKCwtFQUGBGDVqVJfC7ZzG/stf/lK8/PLLYvr06eKOO+4Y8AmTkap9IHUPdKbRQGof6NTvgdTe1tYWkbojucxl+9J/hKXB2r17t/jpT38qfvKTn4j777/fb/WFEOKKK64Q+fn5/sHtwN7CCy+8IBRFEU899ZQQoqvH4XK5xIwZM4TBYBCKoojMzEzx/vvvS+0RrFtqHxrtkapbah867f1BWBksh8Mh7r77bhEVFSXOPPNMMXbsWKEoihg1apR/7sCyZcuEoijipZde8t8QX+EfPnxYfO1rXxMjR47sMqi8ZcsWcf/994vY2FgRFxcnnn76aak9gnVL7bK+SO2Rob0/CRuD1dzcLO677z4xatQo8dvf/lYUFxcLj8cjPvzwQ5GVlSXOP/980dbWJtxut5gyZYq44IILxOHDh7uc5+GHHxaJiYn+eK0Q+o25/fbb/Yt9+iapnu7aI1W31D402iNVt9Q+dNr7m7AxWIcOHRIjR44UP/zhD0VDQ0PQvh/+8IciLS3Nv/rBP//5T6EoivjDH/7gj7H6eg1bt24VqqqKFStWCCE64rgbN270r5sltUe2bqld1hepPTK09zdhY7A0TRMvvPBC0DZf9th///tfYTQa/etxNTQ0iIULF4qMjIwuE942btwoFEURr7zyyuAIF5GrPVJ1CyG1CyHrS1+Q2odGe38TNgZLiA6L33lA8IknnhAGgyHoTbWlpaUiPT1dTJo0yT84ePToUXH77beLvLw8UVlZOXjCReRqj1TdQkjtsr70Dal9aLT3J2FlsDrjGzj86U9/KjIyMvy9Ct9N++CDD8T06dOFoihi6tSp4uyzzxYmk0k88sgjwu12D+ncgUjVHqm6pXZZX6T2yNB+MihCCEGYc+aZZzJixAiWLVuGx+PBYDD499XU1PD3v/+dAwcO0NTUxE9/+lPOPvvsIVQbTKRqj1TdILUPBZGqG6T2iGKoLeaJOHbsmIiKivK/GE8IvXfhe613OBOp2iNVtxBS+1AQqbqFkNojDXWoDeaJ2LFjB3a7nRkzZgBQWVnJv//9b+bNm0d1dfUQqzs+kao9UnWD1D4URKpukNojjbA1WMIbqdy0aRMJCQlkZWWxdu1abrvtNm666SaEEKiq6j8unIhU7ZGqG6T2oSBSdYPUHrEMnjMXGgsXLhSjR48WN998s4iLixNjx44Vq1atGmpZvSJStUeqbiGk9qEgUnULIbVHGmFtsNrb28XUqVOFoigiPj7evw5WJBCp2iNVtxBS+1AQqbqFkNojkbDPEvzlL3+Joig88sgjWCyWoZbTJyJVe6TqBql9KIhU3SC1Rxphb7A0TUNVw3ao7bhEqvZI1Q1S+1AQqbpBao80wt5gSSQSiUQCYZwlKJFIJBJJINJgSSQSiSQikAZLIpFIJBGBNFgSiUQiiQikwZJIJBJJRCANlkQikUgiAmmwJBKJRBIRSIMlkUgkkohAGiyJRCKRRATSYEkkEokkIpAGSyKRSCQRwf8HAAPqzgEGPYIAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -479,20 +481,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -507,20 +511,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -542,7 +548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
@@ -665,7 +671,7 @@
        "16           0.971602      18   True  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -685,22 +691,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[13:58:56] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0fdc6d574b9c0d168-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:888: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning:\n",
+      "\n",
+      "The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "\n"
      ]
     }
    ],
@@ -723,7 +724,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [
     {
@@ -809,7 +810,7 @@
        "2010-02-25 14:20:00-07:00         True  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -821,7 +822,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [
     {
@@ -835,7 +836,7 @@
        "Freq: T, dtype: bool"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -847,7 +848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [
     {
@@ -61398,11 +61399,6 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -61414,11 +61410,6 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -61617,10 +61608,9 @@
           "histogram": [
            {
             "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
              }
             },
             "type": "histogram"
@@ -61756,10 +61746,11 @@
           ],
           "scatter": [
            {
-            "fillpattern": {
-             "fillmode": "overlay",
-             "size": 10,
-             "solidity": 0.2
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
             },
             "type": "scatter"
            }
@@ -61937,7 +61928,6 @@
            "arrowhead": 0,
            "arrowwidth": 1
           },
-          "autotypenumbers": "strict",
           "coloraxis": {
            "colorbar": {
             "outlinewidth": 0,
@@ -62238,12 +62228,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62269,7 +62259,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62288,7 +62278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62303,7 +62293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62322,12 +62312,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]

From 07b3b54da42055d9aed25cc8967bd6cdd7a5ff06 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Mon, 29 Apr 2024 14:27:46 -0400
Subject: [PATCH 23/27] Revert "re-run TrendAnalysis notebook"

This reverts commit 3e91adad53e431103e56e764f27d9a1418930e87.
---
 docs/TrendAnalysis_example_pvdaq4.ipynb | 160 +++++++++++++-----------
 1 file changed, 85 insertions(+), 75 deletions(-)

diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example_pvdaq4.ipynb
index 3a93751d..991b2a9f 100644
--- a/docs/TrendAnalysis_example_pvdaq4.ipynb
+++ b/docs/TrendAnalysis_example_pvdaq4.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -95,7 +95,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,12 +135,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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cAO3mHZV9+sXxylgexfdwLcXc5pbZs5V5ToRalbb8Sp8R9dpr2tw7VVUB0el0YnNUUfrjFMaaqPRWr16Nfv36YerUqWjatCkCAgLQrl078cyqmjVLP/PEzs4OEydOxP3793HmzJlShwsPD0dmZqb4qqynkqmBnFeja/3URWOazPyq0uY1yQ1o8Ne/Sgks9i+rmlR1Fpa7uztu3rxZont6ejoAwMOj9MOQzs7O2LlzJ1JSUpCcnIyGDRuiYcOG6Nq1K9zc3ODi4lLmvPV7E3/+WdolV08Pnln6AFplkPPsmMqixcyW8q9/BeFfCmeIUXgDgIgMTpgpiyW+O/x9fMqkAvL666+bPWFBEBAVFWXWOB06dMChQ4eQlZVlcCA9MTFR7F+eBg0aoEGDBgAg7lEMHTq03PGuXr0KAHBzU3CzzogdO/Zi0CBlfqz8IymbVt4fJXNuHuyKr9KAl2U4Ba3ocjQO32d1e7FaZFIB+e6770yu9nrmDg8AwcHB+PDDD/HZZ5+J14Hk5ubiiy++gJ+fn7iXkJKSgsePH6Nly5ZlTi88PBz5+fn45z//KXa7fft2iSLx4MEDfPzxx3B1dUWnTp3Mzm1Jb58EBg1SOoX5Gs3Ya9EfuKWnXxmePHkiHqNTkiXfSz8/P/hZZMrq0n/GXuzR+PdRCpMKSHJysoVjPOXn54eQkBCEh4cjIyMDXl5eWLt2LZKTkw32ZkJDQ3HkyBEQkdhtwYIFuHDhAvz8/FCtWjXs2LED33zzDebOnYvnnntOHG7FihXYsWMHBgwYgAYNGiA9PR3R0dFISUlBbGws7OzsKmVZmXY8N2OveHKDnB4/AZwVqB9a2GvSmgtKB1CIqo6BAMC6desQERGB2NhY3Lt3D97e3tizZw8CAgLKHK9du3bYvn07du3ahYKCAnh7e2PLli0ICQkxGK5bt244fvw41qxZg7t376JGjRrw9fVFdHQ0evbsaclFM5lWmkaKexHAtxacvlLvy20LTbf9+98othd1cVZPtIr8TpF5K0Hre6tqpaqzsICnp+wuWrQI6enpyMnJwalTp9CnTx+DYQ4fPmyw9wEAQUFBSExMRFZWFh49eoQTJ06UKB7A03tgffPNN0hPT0deXh7u3buH/fv3q6Z4KEGulXJUJf9ILVlMLLXCUWpF1rnY32Wd0chMw0WpAgXkq6++Qq9evVC3bl1Uq1YNtra2JV6MMXWI55UdswBJBWTr1q3o378//vjjD7z66qsoLCzEiBEj8Oqrr0Kn08Hb2xv/+c9/5M7KZLRhgIvSEVgls9ZrcKyRVpqwJRWQ+fPnw9fXF0lJSYiMjATw9FTfDRs24MKFC0hPT0fjxo1lDVqVWeLL1K1bN9mnWRl45cf0JqlsJauVlb6cJBWQX375Ba+++ipsbW1RrdrT4/BPnjwBADRq1AgTJkzAwoUL5UvJVGHzZvX9QEx92BizPruVDiAzLW4cSSogjo6O4umuLi4usLe3F68WB4D69evj2rVr8iRkqjE9SekEJY39Nk/pCEwhanj8m6/SARQmqYC0aNECv/zyi/h3hw4dEBsbi/z8fOTk5GDjxo3i1eBMmsreGrHE7ndV3KU3F79H5kleEIStIc/gzW7PICzkGaXjYIsG9xrkJKmADB48GDt37hRvfPjuu+/i8OHDcHFxgZubG44dO4YZM2bIGpQpQ4271WrMBAAff8zFoDIcSDP8lylHUgGZOnUqUlJSxBsL9u/fH4cPH8bYsWMxfvx4fPvttwgLC5MzJ2Oq9/EtpRNUDa3pFn67eQutSX1veFXbo5TtQsIXXngBS5YswYcffogePXrINVn2F0t8MS2xJa/E3oGSP1opy6vGPSgtrfgmHwe+TX76L1OW6q5EZ0yNfvrpJ6UjyK6e0gGY5kkqIESE1atXw9fXF66urkavQtef3suYJcj/LMiyDdiQUslztLxTKtwT0iI17lFWFklr+WnTpmHx4sXo0KEDRo0ahdq1a8udi0G7N1WsDMf4vWFMcZIKyNq1azF06FBs2bJF7jxMQVp+xoYlsnMBVz81fmfVmMlSJDVhZWdn46WXXpI7C2OMsb9oYeNFUgF58cUX8cMPP8idhWmAFr7UWlP80QSsbP/1UToB05NUQFauXImTJ0/igw8+wN27d+XOxEqhlVN5i9LiMzsqw7Zh7uL/G4fvUzCJ9gwbpr7PXa7vota+05JvZXL16lVERESgXr16qFGjBpycnAxezs7OcmdlrExa2jvy8eHNaKZ9kg6iDx06FIIgyJ2FqZS5B5MXdABmnLVYHMY0t6VurSQVkJiYGJljsNJo8UygV18NwoyzlZNZi+8Ps04XZvdB29n7AVSdM7H4SnTGGABtNQGqkUMVvHZa0iKvW7euzP6CIMDBwQHPPvssfHx8xJsuMvXT+paT0vmVnj9TTlW8+4akJQ4LCxOPgRQ/BbFod0EQ4OTkhPDwcEybNq2CURmzLj/8yxeXbwMt3JTLwE2ArCIkNWGdPXsW3t7e6NGjB7Zu3Ypz587h3LlziI+PR2BgIDp06ICEhARs3boVPj4+CA8Px6pVq+TOXiVp8VRea1Haey/1/XNzc8Oodafw3EeneCXONElSAVmyZAnq16+PgwcPYvDgwWjXrh3atWuHIUOG4ODBg3Bzc0NUVBQGDRqEAwcOwN/fHytXrpQ7O2MAuAAydaoKGwWSCsiOHTswcOBAo/0EQcArr7yCbdu2PZ2BjQ2GDh2K33//XXpKxhTSROkAjKmYpAJSWFiIy5cvl9r/0qVLKCwsFP+2t7eHg4ODSdPOzc3F9OnT4eHhAZ1OBz8/Pxw4cMCkcePi4uDj4wMHBwe4ublhzJgxuHPnjtFho6Ki0KpVKzg4OKBZs2ZYtmyZSfNQQvKCIIOX0szdstLylth3Kni/mXbI/fsMU/lvR1IBeeWVV7By5UosX74cOTk5YvecnBwsW7YMn376KQYMGCB2P3HiBLy8vEyadlhYGBYvXoyRI0di6dKlsLW1Rb9+/fD999+XOd6qVaswYsQI1KlTB4sXL8bYsWMRFxeHF1980SAjAKxevRpvvPEG2rRpg2XLlqFLly6YPHkyFi5caMa7wNRETQWWMbkcVjpAOSSdhbV06VJcuXIFkydPxtSpU+Hu/vS+Punp6cjLy4Ovry+WLl0K4GlR0el0eOedd8qd7qlTpxAXF4dFixZh6tSpAIDQ0FC0bdsW06ZNw/Hjxp9hmZeXh5kzZyIgIAAHDhwQzwTr2rUrBgwYgM8//xyTJk0C8PROwu+++y6CgoIQHx8PABg7diwKCwsxZ84cjBs3rso/38TYqahH/tEW3VddMHkaHQCclTUVY1VPoNIByiFpD6ROnTpISEhAfHw8Ro8ejRYtWqBFixYYPXo04uPjcfz4cdSpUwcA4ODggM8//xwjRowod7rx8fGwtbXFuHHjxG4ODg4YM2YMTpw4gdTUVKPjXbhwAffv38fw4cMNbrHSv39/1KxZE3FxcWK3Q4cO4e7du5gwYYLBNN566y08evQIe/eqe5dRKQ0bNjRr+B28J2CSvxX7l1kXKc23RfemY1T+O5J85YsgCBgyZAiGDBkiW5ikpCQ0b94cTk5OBt19fX0BPD192NOz5MNMc3NzAQA6na5EP51Oh6SkJBQWFsLGxgZJSUkAgM6dOxsM16lTJ7H/qFGjjObLzc0V5wUAWVlZZiyduvUCYNqRJianBJWvIBgri6puZZKeni42hxWl75aWlmZ0vGbNmkEQBCQkJBh0v3z5Mm7fvo3s7Gzcu3dPnIetrS3q1atnMKydnR3q1q1b6jwAYP78+XB2dhZfxoqZVn3OKzIG4Ny5c0pHYBpi0h5I48aNYWNjg0uXLqF69epo3LhxuXfjFQQBV65cMStMdna20due6M/gys7ONjqeq6srhg0bhrVr16JVq1YYPHgwbt68iUmTJqF69ep48uSJOG52djbs7OyMTsfBwaHUeQBAeHi4wbGcrKwsqyoijA3cdAPJ7dsrHUPTqtLV/SYVkO7du0MQBNjY2Bj8LTedTmfQRKSnP4vKWBOV3urVq5GdnY2pU6eKB+BHjRqFpk2bYtu2bahZs6Y4jby8PKPT0B/wL429vT3f14sxxv5iUgEpfvt2S93O3d3dHTdv3izRPT09HQDg4eFR6rjOzs7YuXMnUlJSkJycjIYNG6Jhw4bo2rUr3Nzc4OLiIs6joKAAGRkZBs1YeXl5uHv3bpnzYMwUX365FyEh2mkSrEpbzEp4e8ZefGylTcSqOgbSoUMH/PrrryUOTicmJor9y9OgQQMEBASgYcOGuH//Ps6cOYOXXnrJYB4AcPr0aYPxTp8+jcLCQpPmURWUt0LZv3+/WdOLiLCOFdTMmeUvx7/PVEIQphk7lA5gQZJvprhp0yaDbvv370dAQAD8/PzEa0DMFRwcjIKCAnz22Wdit9zcXHzxxRfw8/MTjzekpKTg0qVL5U4vPDwc+fn5+Oc//yl269mzJ+rUqVPi5o6rVq2Co6MjgoKsc0tBbuMP5Zs1fOwTCwWpZBsLjXf/6LnKzcGYGkg6jXfatGlwdHQUr+24du0aBg8ejLp168LDwwPvvPMOdDqdwfUcpvDz80NISAjCw8ORkZEBLy8vrF27FsnJyYiKihKHCw0NxZEjRwxuJb9gwQJcuHABfn5+qFatGnbs2IFvvvkGc+fOxXPP/e/XrdPpMGfOHLz11lsICQlBnz59cOzYMaxfvx7z5s0Tr19hzBxDhwbhXz9Yx14Wq7iq0iwoqYCcO3cO//73v8W/161bB1tbWyQlJcHV1RXDhw/Hp59+anYB0U8rIiICsbGxuHfvHry9vbFnzx4EBASUOV67du2wfft27Nq1CwUFBfD29saWLVsQEhJSYtgJEyagevXq+Oijj7Br1y54enpiyZIlmDJlitl5rUl5twEx90dhLT8ia1kOxuQmqYBkZmaibt264t/79u1Dr1694OrqCgDo1asXvvrqK0mBHBwcsGjRIixatKjUYQ4fPlyiW1BQkFnNT2PHjsXYsWOlRGSMMbNY65MqJR0DcXd3x8WLFwE8PUPqzJkz6N27t9j/4cOH4im/jDHGrJOkPZCBAwdi2bJlyMnJQWJiIuzt7TF48GCx/7lz59CkCT9JgTHGrJmk3YS5c+diyJAhiI2NRUZGBmJiYlC/fn0AT6/Ojo+PN9gjYYxpBx/vkYc1NlkVJ2kPpGbNmtiwYUOp/W7cuAFHR8cKBWOMMaZuku/GWxobGxs4OzvLPVnGGGMqw0e6WaWx9qaRpV2Ang2f/qs1VaG5RWnW+P2XfQ+EVR0xMXsRFsYrHr2BA4MwUOkQjFUi3gNhks0u/24yjFVp1r55xQWEmeV5M4e3xqYRa2yKYJaxwgq//0VxAWFmWW/lPwjGmOkkHQM5evRomf0FQYCDgwOeffZZo4+oZYyxqsjabmkiqYAEBgaa/ETCZs2aITIyEsOHD5cyK2YFrOEHwzdUZKwkSQXk66+/xvTp05Gbm4uxY8fCy8sLAPDbb79hzZo10Ol0eO+993D9+nWsXr0ar732GmxtbREcHCxreMYYY8qRXEAcHByQmJgIOzs7g34TJkxAYGAgTp48iYULF+LNN99E586dsXDhQi4gjLEqx5r3XiUdRN+wYQNee+21EsUDeHo79pEjR2Lt2rXi36NGjcIvv/xSsaSMsUpjrSs8Ji9JBeTRo0f4448/Su2fnp6Ohw8fin+7uLjA1tZWyqwYY8yqTLKi4iypgPTs2RMff/wx9uzZU6Lf7t27sXTpUvTs2VPsdvbsWTRq1EhySMaY5VnDyQ5asFvpADKSdAxk+fLl6NGjBwYOHIi//e1vaNq0KQDgypUruHnzJho2bIhly5YBAHJycpCSkoI33nhDvtRMNXrN2IsDvOJhrEqSVEAaNGiAn376CZ9++in279+P69evAwBatWqFt99+G+PHj0eNGjUAPD0Gsm/fPvkSM1X5TekAjGmAtR5Il3wzRUdHR7zzzjt455135MzDNOADb2DmeaVTMMaUxrcyYWZ77TVusmLMXHtGNcS0ng2xZ1RDpaPIRvIeyP79+xEVFYWrV6/i3r17ICKD/oIg4MqVKxUOyJgaWdstKZjltW3bFm3bKp1CXpIKyKJFizBjxgzUr18fvr6+aNeundy5GGOMqZykAqI/TXffvn2oXr263JkYY4xpgKRjIPfu3UNwcLBFikdubi6mT58ODw8P6HQ6+Pn54cCBAyaNe/DgQfTo0QOurq5wcXGBr68vYmNjSwwnCILR14IFC+ReHGZFuMmKMUOS9kB8fX1x+fJlubMAAMLCwhAfH4+3334bzZo1Q0xMDPr164dDhw7h+edLf5zRrl27MGjQIHTp0gWzZ8+GIAjYsmULQkNDcefOHfzzn/80GL5Xr14IDQ016NaxY0eLLBNjWsTHeVh5JBWQlStX4uWXX0bnzp3x2muvyRbm1KlTiIuLw6JFizB16lQAQGhoKNq2bYtp06bh+PHjpY67fPlyuLu747vvvoO9vT0AYPz48WjZsiViYmJKFJDmzZtj1KhRsmVnjLGqRlIT1vDhw5Gfn4//+7//g7OzM9q0aQNvb2+DV/v27c2ebnx8PGxtbTFu3Dixm4ODA8aMGYMTJ04gNTW11HGzsrJQu3ZtsXgAQLVq1eDq6gqdTmd0nOzsbOTk5Jidkxmyxgukqire42DmkFRA6tSpg2bNmiEgIAA+Pj6oV68e6tata/CqU6eO2dNNSkpC8+bN4eTkZNDd19cXwNN7apUmMDAQP//8MyIiIvD777/jypUrmDNnDk6fPo1p06aVGD4mJgY1atSATqdD69atsXHjxnLz5ebmIisry+DFGGNVlaQmrMOHD8sc46n09HSjj8DVd0tLSyt13IiICFy7dg3z5s3D3LlzATy9Wn7r1q0YOHCgwbBdu3bFsGHD0LhxY6SlpWHFihUYOXIkMjMz8Y9//KPUecyfPx+RkZFSFo0xxqyOqq5Ez87ONmiC0nNwcBD7l8be3h7NmzdHcHAwNm3ahPXr16Nz584YNWoUTp48aTBsQkICpkyZgldeeQVvvvkmzpw5g7Zt22LmzJllziM8PByZmZniq6wmNWvHTR2MMZP2QI4ePQoACAgIMPi7PPrhTaXT6ZCbm1uiu/44RWnHMgBg4sSJOHnyJH788UfY2Dyti8OGDUObNm0wZcoUJCYmljqunZ0dJk6cKBaT0s72sre3N1rgGGOsKjKpgAQGBkIQBGRnZ8POzk78uzREBEEQUFBQYFYYd3d33Lx5s0T39PR0AICHh4fR8fLy8hAVFYVp06aJxQMAqlevjpdffhnLly9HXl6e0Sco6nl6egIA/vzzT7MyM8ZYVWVSATl06BAAiCtg/d9y69ChAw4dOoSsrCyDA+n6vYcOHToYHe/u3bvIz883WrCePHmCwsLCcovZ1atXAQBubm4S0zPGWNUiUPG7ICooMTER/v7+BteB5Obmom3btqhbt654LCMlJQWPHz9Gy5YtAQAFBQVwdXVFvXr18NNPP4mF7uHDh2jVqhVq1qyJixcvAgBu375dokg8ePAAHTt2RGZmJm7evFnmnkpRWVlZcHZ2RmZmZokzx6qCoqfv8jER68Gfa9VmznpN8t14LcHPzw8hISEIDw9HRkYGvLy8sHbtWiQnJyMqKkocLjQ0FEeOHBHvAGxra4upU6fivffeg7+/P0JDQ1FQUICoqCjcuHED69evF8ddsWIFduzYgQEDBqBBgwZIT09HdHQ0UlJSEBsba3LxYIyxqs6kAvL666+bPWFBEAxW+qZat24dIiIiEBsbi3v37sHb2xt79uwp94D8u+++i8aNG2Pp0qWIjIxEbm4uvL29ER8fj6FDh4rDdevWDcePH8eaNWtw9+5d1KhRA76+voiOjjZ4jjsrH2+dMla1mdSE1ahRozIPmhudsCCIxxWsVVVvwmLWqfidBXhDoWqRvQkrOTlZjlyMMcasiKouJGSMKY/3OJipuIAwxhiTxKQmLBsbG9jY2ODx48ews7ODjY1NucdEBEFAfn6+LCEZY4ypj0kF5D//+Q8EQUC1atUM/maMMVZ1mVRAZs+eXebfjDHGqh4+BsIYY0wSyQUkKysLkZGR8PX1Rf369VG/fn34+vri/fff5wctMcZYFSCpgKSlpaFjx46IjIzEw4cP0a1bN3Tr1g2PHj3C7Nmz4ePjI95BlzHGmHWSdC+s6dOn49atW9izZw/69etn0O+rr75CSEgIZsyYgbVr18oSkjHGmPpI2gP5+uuv8fbbb5coHgDw8ssvY/Lkydi3b1+FwzHGlHf27FmlIzCVklRAHj16hPr165fa/5lnnsGjR48kh2KMqceguJIPeWMMkFhAWrdujU2bNiEvL69EvydPnmDTpk1o3bp1hcMxxpTxaaCt0hGYBkg+BjJ8+HD4+vpiwoQJaN68OQDg8uXL+PTTT3H+/Hls3rxZ1qCMscrTt29f4PDe8gdkVZqkAhISEoJHjx5hxowZePPNN8Wr0okI9erVQ3R0NIKDg2UNyhhjTF0kP5EwLCwMo0aNwunTp3H9+nUAQMOGDdG5c2fxlieMMcasV4XW9NWqVYO/vz/8/f3lysMYY0wjJB1EP3v2LDZt2mTQbf/+/QgICICfnx+WLl0qSzjGGGPqJamATJs2zeAg+bVr1zB48GBcu3YNAPDOO+/gs88+kychY4wxVZJUQM6dO4fnn39e/HvdunWwtbVFUlISEhMTERwcjE8//VS2kIwxxtRHUgHJzMxE3bp1xb/37duHXr16wdXVFQDQq1cv/P777/IkZIwxpkqSCoi7uzsuXrwIAEhPT8eZM2fQu3dvsf/Dhw9hY8N3imfMWty+fVvpCEyFJJ2FNXDgQCxbtgw5OTlITEyEvb09Bg8eLPY/d+4cmjRpIltIxpiynvvoFJIXBCkdg6mMpAIyd+5c3L59G7GxsXBxcUFMTIx4b6ysrCzEx8fjrbfekjUoY4wxdZHUzlSzZk1s2LAB9+7dw7Vr1xASEmLQ78aNG5gzZ46kQLm5uZg+fTo8PDyg0+ng5+eHAwcOmDTuwYMH0aNHD7i6usLFxQW+vr6IjY01OmxUVBRatWoFBwcHNGvWDMuWLZOUlzFrxXscrDyyH6iwsbGBs7MzqlevLmn8sLAwLF68GCNHjsTSpUtha2uLfv364fvvvy9zvF27dqF3797Iy8vD7NmzMW/ePOh0OoSGhmLJkiUGw65evRpvvPEG2rRpg2XLlqFLly6YPHkyFi5cKCkzY4xVRQIRkdIh9E6dOgU/Pz8sWrQIU6dOBQDk5OSgbdu2qFevHo4fP17quL1798bPP/+Mq1evwt7eHgCQn5+Pli1bokaNGjh37hwAIDs7G56envD398eePXvE8UeNGoUdO3YgNTUVtWvXNilvVlYWnJ2dkZmZCScnJ6mLzZhqNZrxvxsq8h5J1WDOek1Vp0rFx8fD1tYW48aNE7s5ODhgzJgxOHHiBFJTU0sdNysrC7Vr1xaLB/D0Viuurq7Q6XRit0OHDuHu3buYMGGCwfhvvfUWHj16hL17+Q6kjDFmClUVkKSkJDRv3rxE1fP19QVQ9pPRAgMD8fPPPyMiIgK///47rly5gjlz5uD06dOYNm2awTwAoHPnzgbjd+rUCTY2NmJ/Y3Jzc5GVlWXwYoyxqkpVt81NT0+Hu7t7ie76bmlpaaWOGxERgWvXrmHevHmYO3cuAMDR0RFbt27FwIEDDeZha2uLevXqGYxvZ2eHunXrljmP+fPnIzIy0qxlYowxa6WqPZDs7GyDJig9BwcHsX9p7O3t0bx5cwQHB2PTpk1Yv349OnfujFGjRuHkyZMG87CzszM6DQcHhzLnER4ejszMTPFVVpMaY4xZO1Xtgeh0OuTm5pbonpOTI/YvzcSJE3Hy5En8+OOP4lXww4YNQ5s2bTBlyhQkJiaK0zD2KF79fMqah729vdECxxhjVZGq9kDc3d2Rnp5eoru+m4eHh9Hx8vLyEBUVhaCgIINbqFSvXh0vv/wyTp8+LRYNd3d3FBQUICMjo8Q07t69W+o8GKvqPvqITzBhhlRVQDp06IBff/21xMFp/d5Dhw4djI539+5d5Ofno6CgoES/J0+eoLCwUOynn8bp06cNhjt9+jQKCwtLnQdjVd0yvh0WK0ZVBSQ4OBgFBQUGzxLJzc3FF198AT8/P3h6egIAUlJScOnSJXGYevXqwcXFBdu3bzdonnr48CF2796Nli1bik1TPXv2RJ06dbBq1SqDea9atQqOjo4ICuJz3RnTe4d3yFkZVHUMxM/PDyEhIQgPD0dGRga8vLywdu1aJCcnIyoqShwuNDQUR44cgf4aSFtbW0ydOhXvvfce/P39ERoaioKCAkRFReHGjRtYv369OK5Op8OcOXPw1ltvISQkBH369MGxY8ewfv16zJs3D3Xq1Kn05WZMrSZPDsLiGdx0xYxTVQEBnj6cKiIiArGxsbh37x68vb2xZ88eBAQElDneu+++i8aNG2Pp0qWIjIxEbm4uvL29ER8fj6FDhxoMO2HCBFSvXh0fffQRdu3aBU9PTyxZsgRTpkyx5KIxxphVUdWtTLSGb2XCqgK+nUnVotlbmTDGGNMOLiCMMcYk4QLCGGNMEi4gjDHGJOECwhhjTBIuIIwxxiThAsIYM1kjvqiQFcEFhDHGmCRcQBhjZdo82FXpCEyluIAwxsrk5+endASmUlxAGGOMScIFhDHGmCRcQBhjjEnCBYQxxpgkXEAYY4xJwgWEMcaYJFxAGGOMScIFhDHGmCRcQBhjZuH7YTE9LiCMMcYk4QLCGCtX8oIgpSMwFeICwhhjTBIuIIwxxiThAsIYY0wS1RWQ3NxcTJ8+HR4eHtDpdPDz88OBAwfKHa9Ro0YQBMHoq1mzZgbDljbcggULLLVYjDFmdaopHaC4sLAwxMfH4+2330azZs0QExODfv364dChQ3j++edLHe/jjz/Gw4cPDbpdv34d7733Hnr37l1i+F69eiE0NNSgW8eOHeVZCMas0NqXa2JnGjDQQ+kkTDVIRRITEwkALVq0SOyWnZ1NTZs2pS5dupg9vTlz5hAASkhIMOgOgN56660K583MzCQAlJmZWeFpMcaYGpizXlNVE1Z8fDxsbW0xbtw4sZuDgwPGjBmDEydOIDU11azpbdy4EY0bN0bXrl2N9s/OzkZOTk6FMjPGWFWlqgKSlJSE5s2bw8nJyaC7r68vAODs2bNmTevixYt47bXXjPaPiYlBjRo1oNPp0Lp1a2zcuFFybsYYq4pUdQwkPT0d7u7uJbrru6WlpZk8rQ0bNgAARo4cWaJf165dMWzYMDRu3BhpaWlYsWIFRo4ciczMTPzjH/8odZq5ubnIzc0V/87KyjI5D2OMWRtVFZDs7GzY29uX6O7g4CD2N0VhYSHi4uLQsWNHtGrVqkT/hIQEg79ff/11dOrUCTNnzkRYWBh0Op3R6c6fPx+RkZEmZWCMMWunqiYsnU5nsIWvpz9OUdqKvbgjR47g5s2bRvc+jLGzs8PEiRNx//59nDlzptThwsPDkZmZKb7MPSbDGGPWRFV7IO7u7rh582aJ7unp6QAADw/Tzh/csGEDbGxsMGLECJPn7enpCQD4888/Sx3G3t7e6B4SY4xVRaoqIB06dMChQ4eQlZVlcCA9MTFR7F+e3NxcbN26FYGBgSYXHAC4evUqAMDNzc3kcYgIAB8LYYxZD/36TL9+K5PFTyo2w8mTJ0tcB5KTk0NeXl7k5+cndrt+/TpdvHjR6DS2bdtGACgqKspo/4yMjBLdsrKyqGnTpuTq6kq5ubkm501NTSUA/OIXv/hlda/U1NRy14Gq2gPx8/NDSEgIwsPDkZGRAS8vL6xduxbJycmIiooShwsNDcWRI0eMVsgNGzbA3t4eQ4cONTqPFStWYMeOHRgwYAAaNGiA9PR0REdHIyUlBbGxsbCzszM5r4eHB1JTU1GrVi0IglCif1ZWFjw9PZGamlri1GS10EJGQBs5tZAR0EZOLWQEtJHT3IxEhAcPHpjUgqOqAgIA69atQ0REBGJjY3Hv3j14e3tjz549CAgIKHfcrKws7N27F0FBQXB2djY6TLdu3XD8+HGsWbMGd+/eRY0aNeDr64vo6Gj07NnTrKw2NjZ49tlnyx3OyclJtV8uPS1kBLSRUwsZAW3k1EJGQBs5zclY2vqzOIGMbcYzWWRlZcHZ2RmZmZmq/XJpISOgjZxayAhoI6cWMgLayGnJjKo6jZcxxph2cAGxIHt7e8yaNUvVp/5qISOgjZxayAhoI6cWMgLayGnJjNyExRhjTBLeA2GMMSYJFxDGGGOScAFhjDEmCRcQxhhjknABYYwxDVPyPCguIEwxfAIgU6PMzEylI5hk8+bNAGD0NkqVhQuIGZKSkpCSkmLwBVPbSvDx48dKRyjX1atX8fjxY9U/j/7cuXP47bffcOPGDbGb2j7vnTt3YsKECeLdpAsLCxVOZNymTZtQq1atEg9zU5Nt27ahd+/eWLJkCZKTk5WOU6q4uDg0bdoUI0aMwPfff69oFi4gJrh48SKef/55vPjii2jfvj18fX2xdetW5OfnQxAEVaxULl++jE6dOuGNN95QOkqpzp8/j6CgIAwYMACNGzdGYGAgEhISVPH+FXX+/Hn06tUL/fv3R6dOndC+fXt88skn4uetFgcOHMDgwYMRGxuLPXv2AHh6fzY1SUpKgp+fH15//XUEBQWp8nYfaWlpCAoKQmhoKOzs7ODo6AhHR0elY5Wgfy9Hjx6NWrVqwcHBwegD+CqVyfcur6L++OMP6tixI3Xt2pWio6MpOjqa/P39ycXFhWbNmkVERIWFhYrlKywspPj4eGrevDkJgkCCINDhw4cVy2NMfn4+ffLJJ+Tm5kbdu3en//znPzRhwgTy9PSkli1bqiZvXl4ezZs3j1xcXKh79+60bNky2rRpEwUGBpKTkxNt27ZN6YhE9L/v25kzZ6hu3bqk0+nIz8+Pzp49S0REBQUFSsYjIqLHjx/T3//+dxIEgbp37047d+6kP/74Q+lYRs2aNYtatWpFGzZsoJSUFKXjlJCZmUmhoaEkCAIFBgbSzp07ae/eveTg4EAffvghET39jSmBC0g54uLiqFq1ahQfHy92u3HjBg0fPpwEQaCDBw8qmI7oypUr1LZtW6pbty7NnTuXWrduTf7+/vTkyRNFcxX19ddfU5MmTej111+nS5cuid0TEhJIEASaPn26KvLu3buXfHx86O2336Zff/1V/FH+9ttvJAgC/fe//1V0Y6G4+Ph46t27N3366ackCALNnDlTzKxkzvz8fJo3bx4JgkBjx46l27dvl/r5Kv1+pqSkUP369Wny5MkluhelVM5Hjx5Rs2bNqEmTJrRq1Sq6fv06ERFdvXqVateuTUOGDFF0g4ELSDkWLlxIzs7O4oeUl5dHRE+3/nx9falt27aKblldv36dZs6cKW59rlixggRBoDVr1iiWqbjFixdTq1atDB7mpX9wl7+/P/Xq1YuIlF+ZfP/99/TRRx+VeOjY9u3bqV69erR582YiUj6nfv6JiYnk7OxMREQvvfQSubu704EDBwyGUcrp06epW7du1LJlS7Hbzp07afTo0TRt2jSKjo426+FtlnL06FFydHSkX3/9lYiI1q1bR61bt6bWrVvToEGDaOPGjYpl069zjh8/ThcuXBDXPXrPPfccBQYGUk5OjmKfNxeQv+g/rOIfxJIlS6hWrVp06NAhIiKDLbzNmzeTvb09ffDBB0bHrayMOTk54v8vX75MvXv3pmeffZbu3Llj0TzGFM1YNOfly5cN+hM9fS8DAwPp+eefp+zsbMVyluXYsWPUtm1bcnJyotmzZ9NPP/1E9+7dM5iGUhnj4+PJy8uLiIiSkpJIEAQaPXo0/fnnn2WOV1k59XtG//rXv6h3794kCAJ5eXlRrVq1SBAEGjJkCF24cMFgGpWd8fTp01StWjXavn07RUdHk42NDQUHB9Po0aOpXr16JAgCffHFFxbNZkrOogoLC6mgoIDeeustcnZ2Fr+PShSRKl9A9O3exbfY9R/GgQMHyN7enmbPni1203/It27domHDhpGbm5tFt6ZKy1iazZs3k06no2nTplksU3HmZtQXmI4dO9Lw4cPFbpZmSk795zt9+nQSBIF69OhBo0ePpjFjxpCLiwu9+uqrimbUv0+nTp2iWrVqUVpaGhERjRkzhuzt7cWt5kePHimSU5/v+vXrFBwcTIIgUM+ePenrr7+m69ev082bN2nOnDlkY2NDISEhimTUO336NLm6utKoUaOoffv2FBERQQ8ePCAiovPnz1OfPn2obt26pT5Cu7JyGhMREUGCINCuXbssmKxsVbqAHD16lNq0aUOCIFDv3r3pl19+IaKSKzIfHx/q2LEj/fTTTyX6b9iwgapVq0arVq0yOm5lZSzaLSMjg15//XVycHAQt/AsuXI2J2NRqampVKNGDZo/fz4RWf5AoKk59X9v376dNm/eTHfu3BG7hYeHk42NDS1atIiI5N9yNue93LJlCzVv3lxsQs3KyiJHR0fq0aMH/f3vf6f/+7//E4uL3EzNuWHDBgoLC6OEhIQS/UaOHEnOzs7iClCp3063bt3IxsaGXF1d6fjx4wb9vvnmG6pTpw5NmTKFiCyzp2Tu70ef4dixYyQIAm3ZsqXM4S2pyhaQEydOUMuWLalRo0YUEhJCgiDQwoULDQ726VdoO3fuJEEQaO7cuWJTi77f5cuX6dlnn6Vx48bJ/uUyJWNpvv32W/rb3/5GgwcPljWTnBmPHj1KgiDQ/v37LZrR3Jxl/RB/++038vLyovbt2xs0HVZmRn2+Y8eOkaOjI6Wmpor9RowYQba2tlS9enWaNWsWPXz4UNaMpubUZ8zMzCxxTEk/3MmTJ0kQBIO9+8rMqP8Nf/311+IZjPo9DX2LQkZGBvXt25c8PT1l/7xNzVmaCxcuUO3atWnSpElExAWkUv3yyy9kb29PX375JRERvfDCC9SsWTNKSEgwOny/fv3Iw8ODdu/eTUSGW8tt2rSh0NBQIpL3QzQ3Y9H5P3z4UNzF/fbbb4mI6MiRI7Rz505Zc0rJqLdy5UqqVq2a2GSQn59PV65codOnT8uasaI5iQy3PLt06UL+/v6yr1CKZwwICCgzY1xcHLVo0YLu379Phw4doueff55sbW3JycmJvLy86NixY0Qk/4pF6ntZvAn49u3b5OLiYpGmVnMzjhw5kgRBoPHjxxMRGazAg4ODqXXr1pSZmal4zqIyMjKoYcOG9OKLL1JWVpbs2UxRJQuIfuVfdMtIvzU8efJk8YtSdKVx/fp1qlmzJvn7+9OPP/4odj958iQ5OTlRZGSkIhmNrRz0uS9dukQ+Pj7Url07ioyMJE9PT6pbt65sZ41VJCMR0YABA6hr165E9LQ5a/369dSxY0fy8fGhu3fvypKxojmL71Xu37+fqlevTm+//bZs+czNqM/57bffkp2dHfXv359sbW2pW7dudPToUdqyZYu4MpT72Jyc7+XKlStJEAT6/PPPFclYNE9qaio5OTmV2CP++eefqWnTpjRq1CjZC7Ec7+WQIUOoTZs29PDhQ94DsYS4uDgaP348LViwgI4ePSp2L/pm6z+M0aNHk4uLC+3YscNgGvoPOiYmhho0aECNGzemTz75hNasWUMDBgwgT09POn/+vKIZjbl+/TqFhYWJu+cDBw40aO5QKmNhYSE9ePCA3N3d6dVXX6WDBw/SK6+8QoIgUN++fenGjRuSMsqds6i0tDTavXs3de/enVq3bi0eD1MyY0JCAnl7e1OrVq1o+fLllJqaKn5Xu3XrRmPHjq1QAbHUe3nr1i3avn07eXt7U/fu3St0tqCcv++4uDhyd3enOnXq0NixY+mDDz6gl19+mWrXrl3hZlZLvJeFhYU0d+5cEgRBPMuxsouI1RaQW7duUZ8+fahGjRrk4+NDtWvXJnt7e5o1a5Z42lvxi65u3LhBNWvWpCFDhogr2oKCAoMP5fDhw9StWzdydnamunXrkre3N33//feKZyzu2LFj1LdvX7KxsaGOHTua3FRTWRl///13cnR0JB8fH6pZsya1aNFCbGpTU87Dhw/T2LFjKTg4mGrVqkXt27enH374QdGM+uaVvLw8Onr0KP30009iodCPV5HToi35Xr755ps0YsQIqlmzJvn4+IjXLymZsejvOyEhgfr06UMuLi5Ur1496tixo8EKX8mcxixZsoQEQTC40LkyWW0BWbt2LdWpU4c2bNhAaWlpdPfuXQoLC6NatWrRhAkTSgyv//DmzZtHNjY29Nlnnxl8sYr+Pzs7m/744w/JKxJLZSzq4MGDZGdnR8uXL1dlxu+++44EQaB69epVOKMlc+7evZu8vLwoMDCQoqOjVZfREluclnov4+PjqWbNmuTn51fhZitL/r5zc3Pp3r17dO7cuQpltEROPX1BSU9Pp5iYmArnlMpqC0j37t3J39/foNujR49o9OjRJAgC7d27l4hKVva8vDxq2rQp+fn5iVenXrlyxaCdUq6zrSyZkUie02Llzlj0+Mvq1atLXF2rxpxXrlyR5TOXM+Pvv/9e4vOWiyXfy3Pnzqnye2mJ37elcyp9twEiKywgBQUFlJOTQ3369KFu3bqJ3fW7/WfOnKFOnTpRkyZNSnwAxU/bnT59On3xxRfk4+NDkydPlu3CrKqeUc4zRiyZU65TYC2Z8fHjx7JktHROLbyXcl54qZWcFaXpAnLx4kWaMmUKTZo0id59912xUhMRDRo0iFq0aCEe7Cxa4T/77DMSBIGWLFlCRCW31J88eULPPfcc2drakiAI5O7uTl9//TVnVDCjVnJqIaNWcmoho5ZyWoImC0hubi5NnTqVdDodde7cmZo1a0aCIFCTJk3E86nj4+NJEASKjo4WPzT9B5ScnEwvvvgiNW7cuMTBxx9//JHeffddqlmzJtWqVYs+/vhjzqhgRq3k1EJGreTUQkYt5bQkzRWQBw8e0MyZM6lJkya0cOFCunz5MhUUFNDBgwfJw8ODXnjhBXr8+DHl5+dT+/btKSAggJKTk0tMZ/bs2eTi4iK2QRI9/fAmTpwo3pROf4EbZ1Qmo1ZyaiGjVnJqIaOWclqa5grItWvXqHHjxjR+/Hi6f/++Qb/x48eTm5ubeCVzbGwsCYJAixcvFtsN9ZU+KSmJbGxsaPv27UT0v7bJU6dOifei4YzKZtRKTi1k1EpOLWTUUk5L01wBKSwspM8++8ygm/5Mni1btlC1atXE+9ncv3+fhgwZQs8880yJi3JOnTpFgiDQ2rVrOaNKM2olpxYyaiWnFjJqKaelaa6AEP2vShc/6LRo0SKytbU1eOpdamoq1a9fn9q0aSMegLp58yZNnDiRGjZsSLdu3eKMKs6olZxayKiVnFrIqKWclqTJAlKc/uDUlClT6JlnnhG3BPQf7P79+8nHx4cEQaAOHTpQly5dqHr16hQZGUn5+fmVcj41Z6xaObWQUSs5tZBRSznlJBARwUp07twZjRo1Qnx8PAoKCmBrayv2u3PnDqKionDlyhVkZWVhypQp6NKlC2fUaEat5NRCRq3k1EJGLeWUhdIVTC4ZGRmk0+nEB/0QPd0i0D/eUw04o3y0kFMLGYm0kVMLGYm0k1MuNkoXMLlcuHABOTk5eO655wAAt27dwsaNG9GnTx/cvn1b4XRPcUb5aCGnFjIC2siphYyAdnLKRfMFhP5qgfvhhx/g7OwMDw8PHD58GBMmTMDrr78OIoKNjY04HGfUbkat5NRCRq3k1EJGLeWUXeXt7FjWkCFDqGnTpjR27FiqVasWNWvWjL755hulYxngjPLRQk4tZCTSRk4tZCTSTk65WEUByc7Opg4dOpAgCOTk5CTeW0ZNOKN8tJBTCxmJtJFTCxmJtJNTTlZzFtb06dMhCAIiIyNhb2+vdByjOKN8tJBTCxkBbeTUQkZAOznlYjUFpLCwEDY26j6kwxnlo4WcWsgIaCOnFjIC2skpF6spIIwxxipX1SmVjDHGZMUFhDHGmCRcQBhjjEnCBYQxxpgkXEAYY4xJwgWEMcaYJFxAGGOMScIFhDHGmCRcQBhjjEnCBYQxxpgkXEAYY4xJ8v+OWqwGhi5FyAAAAABJRU5ErkJggg==",
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GD+Onn37S6/SSXuanGbCGMcT3nYtLJcmLhouLi9a9iaKiyiZ+te2FqMTGxmLu3LlYs2YN3Nzc0K1bNwCV50MAwMPDo855jxs3DgCQk5NT6zA2NjZwcHDQeBlaTwm3DBvzw3jhs5/rnK7Yrbrg4OAGZ2ksfRfAxtL3VvG0BnzHpNgyH2O0OTFd6XT11JEjR0RNtH///joP6+fnh6SkJJSXl2uc1zh79iwAwNfXt9ZxrayssHnzZqxatQq//vorWrdujXbt2mHYsGHo1KkT2rfXrWWnqnskpsDwLeLLkzFv8nvhs59xdb3+zygb6z3Ud2XOfoMn0I/160dgp4keXisqKqpzo9Zc6VQ0VDfG1YeIIAiCqKuWIiMj8emnnyI5ORnR0dHq7vHx8XB3d0dQUFC907C3t4efX2VbGWfOnEFmZiY2bdpU73jx8fEAwJfhNoJcLxtsioz1WX0e2RrpN4Fwd4PPSlI9Nx5vkoesdCoaWVmGa5ggPDwcQ4cOxfTp06FQKNC1a1ckJSVh3759SEhIUN+jMWXKFMTHxyMvLw+enp4AgEOHDiE3Nxf+/v4gIpw8eRIbNmxAWFgYZs6cqZ7H0aNHsXbtWkRGRqJz58549OgR0tPTsW3bNoSGhiIiIsJg709Xxl75mkvTHPpkqM/g5LwAvTa41xDG/LyDgoJQ/6YekyudisaAAQMMGmL37t1YsmQJYmNjUVRUBG9vbyQlJWHMmD+PaFZUVKCiogJEpO5mbW2N5ORkrFmzBmVlZejWrRtWrVqF2bNna9wQ2K5dO1haWmL16tW4c+cOBEFQDzt//nyTOzzF/mQOezKurq5SR2iSDHUyXO7fx8aS/I5woPLw0pYtW7Bly5Zah4mLi0NcXJxGt5CQkDpPYqt07doVe/c27Q8aAIZBPseya8N7SLrjFZy8yOW73aCiUVRUhMTERFy8eLHGzXGCIGD79u16Ccf065+8EmGMNZLoonH9+nUEBASgpKQEJSUlaN26NYqKilBRUYFWrVrB0dHREDmbHFPZ6jCFHIEATkqaQL6k/uz0zRS+j1U1No8c9wZFH8x/55138Mwzz+DWrVsgIqSnp+Phw4fYunUrbG1t+TAQ07v/mtBKghnfYKkDMA2ii8bx48cxffp02NpWtpJERLC2tsaMGTMwZcoULFy4UO8hmXwYY6tJbltm1ck9v7Ft540GkyK6aNy6dQvt2rWDhYUFLC0tNRrwGzBgAL799lu9BmxKjL3bXdvKy5R2/00dF4Cmp6n/PkQXDTc3N3UTHx07dsSpU6fU/a5evVqjtVpm/npIHUAGFneWOkFNUj6znMmX6KLRp08ffPdd5ePlRo0ahVWrVmHNmjXYuHEj3nnnHYSGhuo9JDNtXxqpWQxT0ZAsb7xhOvlVeqzPrn8gE5Ec1RZ/6dsWyVFtpY5SQ1Pb2xRdNBYsWKBuDyo2NhaDBg3C8uXL1SfI67rXgoljiC+jKa18G4PPnTSMXD//uNzf8XP+74jL/V3qKE2e6GNJvXr1Qq9evQAALVq0wFdffQWFQgFBENCyZUu9B2SMsa+v/vnvrZKlYICemkZ3cHDggsEYazLkusemDw06a33//n2kp6fj2rVrWu8IX7ZsmV7CNUVyvNnHWIyxbHj5m75Lly7B29tb6hhNluiiceLECYwYMUJ9BVV1XDTkRZc7Wvfv349hw4YZKZHuTO3uYGYcYXF5uLretIqGvr6LcvhOiz48NXfuXHh4eODkyZN49OgRlEqlxkvMszSYPEzLKpc6gtnhvRlxousfhBmJ6KJx9uxZrFmzBr1794a1tbUhMjGZi+AVItOzDSa+9d0YflIHEEl00WjTpo0hcrBaSHXZbWN2kc82eMz6mfque13knJ3VpK/P82uZfS9EF41Zs2bhk08+0XgYEmOMsaZB9IlwpVKJS5cu4bnnnsOIESPg4uKi0V8QBMydO1dvAZk8SHXVkRxOHDJmTkQXjaqt2P744481+nPRaDy+7FNeuHAZh6kv4/Ly8ibR9p7ow1O//vprna9ffvnFEDkZUzP1lYepe6935d/2AHbt4o2Txqj6Xey6VO4PU9aN6LLo6elpiByMMSP5v/8bgQWn9uI3AAtOAf/3f1InYnKil2ZEmGEdO3bMoNOX+6EwQ+bnZ44wpkn0nkanTp0gCILWfhYWFnByckJAQABmz54NHx+fRgdkwKtf3cXVEP1Ok8+b1K6PE5BzT+oUjJkm0XsaAwYMABEhPz8fHTt2RFBQEDw9PZGfn4+Kigp06NABu3fvRu/evTUe0MTk7a0mVGBiDLitkzs/EAmvBSJ3fqDhZsIko48NsR07TPu3JrpoDBs2DDY2Nrhy5QoOHjyIpKQkZGVl4eeff4aNjQ1GjhyJn376CV5eXli+fLkhMjcJpnb4478ihz9y5IhBcqgYcvm8/LLhpt2mTRuM+38nEbDpJO/pMa2WGPLuWD0QXTTWrl2LFStWoEOHDhrdn3rqKcTGxmL9+vVwdHTE3Llzcfz4cb0FZcb3/4Y3vLn719Lu6zEJY8xUiC4aV65cgaOjo9Z+rVq1wtWrVwFUPj+8pKSkUeGY8Vy+fLlGt/79+0uQhDF50cder6kdWaiL6KLh6emJuLg4rf0+++wzPPXUUwCAwsJCODs76zTNBw8eYM6cOXB3d4etrS169OiBnTt36jTu/v370bdvX9jZ2cHR0RERERE4f/681mEzMjIQHByM5s2bo3Xr1pg4cSJu376t03ykcHX9CPXL0Ib9+0qjpyGnLz5jrGFEXz21YMECTJs2Db/99huioqLg5uaGW7du4b///S9OnDiBbdu2AQCysrLQu3dvnaY5atQo5ObmYv369fDy8kJiYiJiYmKgVCrx6quv1jpeamoqIiMj8fLLLyM5ORnFxcVYuXIlnn/+eeTm5qJLly7qYQ8fPozw8HCMGDECqampuH37Nt5++20MHjwYp06dgo2NjdhFwSTGRUo/9u7dixEjeFnqi7m3ECC6aLz++usgIqxYsQLz5s1Td2/bti0++eQTTJkyBQCwZMkSnVbEaWlpOHDggLpQAMCgQYNw7do1LFy4ENHR0bC0tNQ67ttvvw0/Pz/s3r1bfRlwSEgIvLy8EBsbix07dqiHXbhwIby8vLBr1y71rf6dOnVC37598dlnn2H69OliF4Xs8WW3DABmHAW4Zkjvl7+Fo1wJWJn43XMNivfGG28gPz8fFy5cwNGjR3HhwgXk5+fj9ddfVw/j5uYGJyeneqeVkpICe3t7REVFaXSfNGkSbt68iRMnTmgdr7CwEJcvX0Z4eLjGfSOenp7w9fXFl19+qX4gVH5+PnJzczF+/HiNtmFUBSYlJUXM22esUTyq/WUMqLzPzdrKAhYWpl01GpxOEAR4e3ujb9++8Pb2rvWGv/qcO3cOPj4+NRr68vf3V/fX5vHjxwCgdW/GxsYGJSUlyMvL05iGaprV51PbPACgrKwMCoVC48VYdWL22LL/d54qW8JDGOZ8+EQKTWl56nR46siRI+jZsyfs7e11uv5ezFU3hYWF6Ny5c43uqpPohYWFWsdzc3ODs7MzsrOzNbrfu3dPXQRU46r+ajsx7+zsXOs8AGDdunVYuXKlDu+EMcbMn05FY+DAgcjJyUFgYCAGDhxY614FEUEQBNHPCa9rL6WuJktmzJiB1atXY/Xq1Zg2bRoUCgXmzJmjvtS3+m5ebdOqa/6LFi3SOHejUChq3KPCzNtvv/2G9u3b1+g+DEDTaNeUsT/pdHgqKysLTz/9tPrfBw8e1PpS9RPDxcVF65Z+UVERAO17ByqxsbGYO3cu1qxZAzc3N3Tr1g1A5fkQAPDw8FDPA9C+11JUVFTnPGxsbODg4KDxMlf1HWIRe9LcXE6y9/voB63d/9mEDkkwcczlu6+NTnsaAwYM0PpvffDz80NSUlKNB5icPVt5L72vr2+t41pZWWHz5s1YtWoVfv31V7Ru3Rrt2rXDsGHD0KlTJ/XWoWoaZ8+exfDhwzWmcfbs2TrnwZomvrKMMe30cpr+xo0b2LdvX53nBmoTGRmJBw8eIDk5WaN7fHw83N3dERQUVO807O3t4efnh3bt2uHMmTPIzMzEX//6V3V/Dw8PBAYGIiEhQePQWU5ODi5fvoxRo0aJzm0uhtbTf884cc9PeVO3+zkZMzurnpY6gXGILhpLly7VeJxrRkYGvLy8MGLECHh5edV6N3ZtwsPDMXToUEyfPh2ffvopsrKy8MYbb2Dfvn3YuHGj+h6NKVOmwMrKCteuXVOPe+jQIbz77rvYv38/9u3bh1WrVuH5559HWFgYZs6cqTGfDRs24NKlS4iKikJGRgYSExMxevRo+Pr6qg9nNUWf1nOIRexe2Ftv8SEb1jS99lrT+O6LLhrJycnq8xtAZRHx9/dHSkoKPD09sWbNGtEhdu/ejfHjxyM2NhZhYWE4ceIEkpKSMHbsWPUwFRUVqKioABGpu1lbWyM5ORmjR4/GyJEj8cUXX2DVqlVISUmpcUPgwIEDkZaWhoKCAkRERGDWrFkYNGgQMjMz+W5wxhjTkeg7wvPz89G1a1cAlSeWc3NzkZaWhmHDhuHRo0eYP3++6BD29vbYsmULtmzZUuswcXFxNdq8CgkJQU5Ojs7zGTp0KIYOre+ATNPTlK4xZ8xYzLU5EdF7GkQEpVIJAMjOzoalpaX6vox27drhzp07+k3IGDO4aD7pz3Qkumh06dIFe/bsAQDs3LkTgYGBsLOzAwAUFBSgVatW+k3IGDM47Y31MLHMcc+iOtFFY9q0adiyZQtcXFzw+eefa7Q3lZ2drXG+gzFmuk7OC5A6ApMh0ec0pk+fjlatWuHYsWMIDAzEuHHj1P1KS0sxceJEfeZjMrdjx16MHWv+W19y5OrqKnUEJkOiiwYAjBkzBmPGjKnRXfUsDWa+xJ7cW3IWGFv/YIyZJXM8GW7abfAyxhgzKVw0mN6Z25YVAGzfrv3qoi3BQKhn5V/GmgIuGqxe5lgExFr9s/buL788Ap9NH4GXX+ZlxCqZ+++FiwZjtTD3Hz9jDcFFgzHGmM64aDDGmAGZWxP7oi+5nTx5cq39LCws4OTkhICAAERGRsLa2rpR4Zh88aEdxsyT6KKRlZWF4uJi3Lt3D1ZWVuon75WXl8PJyQlEhM2bN6N79+44dOgQ3NzcDJGbMaZn5nhPgVTM+SFeDWoavWXLlkhKSkJpaSkKCgpQWlqKxMREtGzZEvv378e3336Lu3fvYvHixYbIzBjTk30Tu0gdgcmM6KIxb948LFiwANHR0epnVlhaWmLMmDGYN28e5s2bh5CQELz99tvYt2+f3gMz6ZnrFlRT5O3tLXWEJsGcfjOii0Zubm6tjRL6+vriu+++AwD06NGDm0lnjDEzI7poODg4ICsrS2u/gwcPwsHBAUBl44UtW7ZsXDrGGGMmRXTRePXVV7FhwwYsWbIE33//PQoKCvD9999j0aJFePfdd9Wt3p4+fRo+Pj56D8ykwSdIGRPHXH8zoq+eWrduHQoKCrBu3TqsX79e3Z2IEBMTg7/97W8AgODgYAwbNkx/SRljjElOdNGwtrZGYmIili1bhsOHD6OwsBAuLi7o37+/xrmOIUOG6DUoY1Kb+c5efGSmW4+M6apBz9MAAB8fHz78xJqUPQA+kjoEk5U94zxx5CbQ313qJPrT4KJx+/ZtXLt2DaWlpTX69e/fv1GhGDMV5nyTFjM8X19f+PpKnUK/RBeNgoICjB8/Xn0FFREBAARBABFBEARUVFToNyVjjDGTILpozJw5E9999x02bNgAf39/2NjYGCIXY0wC3JQIq4/oonH48GG89957mDRpkiHyMMYYM2Gi79MQBAEdOnTQa4gHDx5gzpw5cHd3h62tLXr06IGdO3fqNG5WVhaGDh0KV1dX2Nvbw9/fHx9++GGNQ2QDBw6EIAg1XmFhYXp9L00FH+c3H7xnwcQQvacRFRWFPXv26PWS2lGjRiE3Nxfr16+Hl5cXEhMTERMTA6VSiVdffbXW8TIyMjBs2DD0798fn376KVq0aIGvvvoKf/3rX5GXl4ctW7ZoDN+5c2fs2LFDo5uTk5Pe3gdjjJk70UVj9OjReP3116FUKhEREQEXF5caw/Ts2VPn6aWlpeHAgQPqQgEAgwYNwrVr17Bw4UKNhhGri4uLQ7NmzbBnzx60aNECQOX9IZcvX0ZcXFyNomFnZ4c+ffronI1peg7Ad1KHYIxJSnTRCA0NBQB89NFH+Pvf/67RryFXT6WkpMDe3h5RUVEa3SdNmoRXX30VJ06cQEhIiNZxmzVrBmtra9jZ2Wl0d3Jygq2trc4ZmG5S+PJTxpo80UXj3//+t14DnDt3Dj4+PrCy0ozi7++v7l9b0fjLX/6CpKQkzJ49G4sXL0bz5s3x9ddfIyUlBevWrasxfF5eHpydnaFQKODp6YkxY8Zg6dKlNYpOVWVlZSgrK1P/X6FQNORtMsaYWRBdNCZMmKDXAIWFhejcuXON7s7Ozur+tQkKCsLBgwcRFRWl3uuxtLTEunXrMH/+fI1h+/Xrh+joaHh7e6O0tBTp6enYuHEjvv32W2RlZcHCQvs1AevWrcPKlSsb+vYYY8ysNPiOcH0SBKFB/U6fPo3IyEgEBQXhn//8J1q0aIGDBw9i6dKlePToEZYtW6Yeds2aNRrjDh8+HB07dsSCBQuQmpqKyMhIrfNYtGgR5s2bp/6/QqHQ+9VjTD6USmWtGxiMNQU6FY1Vq1Zh6tSpcHd3x6pVq+ocVhAEjZV1fVTPGK+uqKgIwJ97HNrMmDEDbm5uSElJUZ8sHzRoECwsLLBixQqMHTtW616Myrhx47BgwQLk5OTUWjRsbGz4BkamVq4ErLlmsCZMp6KxYsUKhIWFwd3dHStWrKhzWLFFw8/PD0lJSSgvL9c4r3H27FkAlW231Ob7779HTExMjaurAgICoFQqcfHixTqLhgpvOTJdWfFXhTVxOhUNpVKp9d/6EBkZiU8//RTJycmIjo5Wd4+Pj4e7uzuCgoJqHdfd3R2nTp1CRUWFRuE4fvw4AKB9+/Z1zjs+Ph4A+DJcVqemdvPb7du34erqKnUMZqIkP6cRHh6OoUOHYvr06VAoFOjatSuSkpKwb98+JCQkqIvBlClTEB8fj7y8PHh6egIA5s6di9mzZyMiIgLTpk1D8+bNkZmZiU2bNmHIkCF49tlnAQBHjx7F2rVrERkZic6dO+PRo0dIT0/Htm3bEBoaioiICMneP2OmJnBzbpMrlEx3khcNANi9ezeWLFmC2NhYFBUVwdvbG0lJSRgzZox6mIqKClRUVKhb1QWAWbNmwcPDA++//z6mTp2K0tJSdOzYEcuXL8fcuXPVw7Vr1w6WlpZYvXo17ty5A0EQ0K1bN6xatQrz58/nw1Mi8MqEsaZNoKpr4VqobujTaYKCgMzMzEaFMmUKhQKOjo4oLi6Gg4OD1HEY05uqN27yxkHTIma9pvM5jboufa1KhxrEGGNMpnQqGocOHTJwDMYYY3LAB/MZY4zpjIsGY4wxnelUNCwtLXHy5MnKESwsYGlpWeuresODjDHGzIdOa/jY2Fj1jXKxsbE6nxRnjDFmXnQqGsuXL1f/u75mRBhjjJkvPqfBGGNMZw0qGnl5eRg/fjzc3d1hY2MDDw8PTJgwAXl5efrOxxiTAD+hkdVG9FnrS5cuITg4GI8ePUJoaCjc3d1x8+ZN/Pe//8WePXuQnZ0Nb29vQ2RljDEmMdFFY/HixXBxccGhQ4c0WpH97bffEBoaiiVLliA5OVmvIRljjJkG0YenDh8+jJUrV9Zodrx9+/aIjY1FVlaW3sIxxoyH25tiuhBdNEpKSuDi4qK1X+vWrVFaWtroUIwxxkyT6KLRvXt37NixQ2u/pKQkPp/BGGNmTPQ5jdmzZ2Pq1KkoLi7GhAkT0K5dOxQUFCAhIQFfffUV/vWvfxkiJ2OMMRMgumhMnjwZt27dwpo1a7B3b+VleUQEOzs7rF27FpMmTdJ7SMYYY6ahQQ1FLVq0CG+++SaOHz+OwsJCuLi4IDg4GI6OjvrOxxhjzIQ0uHVBR0dHhIWF6TMLY4wxEyf6RPjBgwfxxRdfqP9/69YtDB8+HG3btsVrr72GR48e6TUgY4wx0yG6aMTGxuLChQvq/7/11ls4evQoQkJCsGvXLrz77rt6DcgYkwY3JcK0EV00fvrpJ/Ts2RMAUF5ejpSUFGzYsAG7d+/GqlWrkJSUpPeQjDHj8JE6ADN5oouGQqGAk5MTAOD06dN4+PAhXnrpJQBAYGAgrl+/rteAjDHjSee7wlk9RBcNV1dX/PzzzwCAjIwMeHp6qpsUuX//Ppo1a6bfhIwxxkyG6KunwsLCsHjxYpw/fx5xcXGYMGGCut+lS5fQsWNHfeZjjDFmQkQXjb/97W+4fv06Pv30UwQGBmLp0qXqfomJiQgJCdFrQMYYY6ZD9OGp1q1bY9++fVAoFMjIyICzs7O6X1ZWFt5//33RIR48eIA5c+bA3d0dtra26NGjB3bu3KnTuFlZWRg6dChcXV1hb28Pf39/fPjhh6ioqKgxbEZGBoKDg9G8eXO0bt0aEydOxO3bt0XnZYyxpkqvj3t1cHCAtbW16PFGjRqF+Ph4LF++HOnp6QgICEBMTAwSExPrHC8jIwNDhgxBeXk5Pv30U3z55ZcYOHAg/vrXv2LevHkawx4+fBjh4eFwc3NDamoqtmzZgoyMDAwePBhlZWWiMzPGWJNEEtu7dy8BoMTERI3uQ4cOJXd3dyovL6913LFjx5KNjQ09ePBAo/sLL7xADg4OGt0CAgLo6aefpidPnqi7ZWdnEwD6+OOPdc5bXFxMAKi4uFjncRiTE8+396hfrGkQs17T655GQ6SkpMDe3h5RUVEa3SdNmoSbN2/ixIkTtY7brFkzWFtbw87OTqO7k5MTbG1t1f/Pz89Hbm4uxo8fDyurP0/jhISEwMvLCykpKXp6N4wxZt4kLxrnzp2Dj4+PxsocAPz9/dX9a/OXv/wFjx8/xuzZs3Hz5k3cu3cP//nPf5CSkoK33npLYx5Vp1l9PnXNo6ysDAqFQuPFGGNNleRFo7CwUONkuoqqW2FhYa3jBgUF4eDBg0hJSYGHhwdatWqFSZMmYe3atZg/f77GPKpOs/p86prHunXr4OjoqH516NBB5/fGmNxxUyKsOsmLBgAIgtCgfqdPn0ZkZCR69eqFr7/+GgcPHsSiRYuwdOlSrF69Wudp1TWPRYsWobi4WP26ceNGHe+EMcbMW4ObRtcXFxcXrVv6RUVFALTvHajMmDEDbm5uSElJgaWlJQBg0KBBsLCwwIoVKzB27Fh07txZ/Uzz2uZT1zxsbGxgY2Mj6j0xxpi5knxPw8/PDxcvXkR5eblG97NnzwIAfH19ax33+++/R69evdQFQyUgIABKpRIXL17UmIZqmtXnU9c8GGtqrnL7U6wOkheNyMhIPHjwAMnJyRrd4+Pj4e7ujqCgoFrHdXd3x6lTp2rcyHf8+HEAULeJ5eHhgcDAQCQkJGgMm5OTg8uXL2PUqFH6ejuMMWbWJD88FR4ejqFDh2L69OlQKBTo2rUrkpKSsG/fPiQkJKj3IqZMmYL4+Hjk5eXB09MTADB37lzMnj0bERERmDZtGpo3b47MzExs2rQJQ4YMwbPPPquez4YNGzB06FBERUXhzTffxO3bt/HOO+/A19eXn2vOGGM6krxoAMDu3buxZMkSxMbGoqioCN7e3khKSsKYMWPUw1RUVKCiogJEpO42a9YseHh44P3338fUqVNRWlqKjh07Yvny5Zg7d67GPAYOHIi0tDTExsYiIiICzZs3x4svvoh3332Xz1kwxpiOBKq6Fmb1UigUcHR0RHFxMRwcHKSOw5hBVL3Uls9xmD8x6zXJz2kwxhiTDy4ajDHGdMZFgzHGmM64aDDGGNMZFw3GWJ24/SlWFRcNxhhjOuOiwRirgS+zZbXhosEYY0xnXDQYY4zpjIsGY4wxnXHRYIwxpjMuGowxxnTGRYMxxpjOuGgwxhjTGRcNxhhjOuOiwRirFzclwlS4aDDGGNMZFw3GGGM646LBGNOK259i2nDRYIwxpjMuGowxxnTGRYMxxpjOuGgwxhjTGRcNxhhjOuOiwRhjTGcmUTQePHiAOXPmwN3dHba2tujRowd27txZ73gDBw6EIAi1vn7//fd6hw0LCzPkW2OMMbNiJXUAABg1ahRyc3Oxfv16eHl5ITExETExMVAqlXj11VdrHe/jjz+GQqHQ6FZSUoKwsDD06tULbdu21ejXuXNn7NixQ6Obk5OT3t4HY+YmPtweqTeBl92lTsJMheRFIy0tDQcOHFAXCgAYNGgQrl27hoULFyI6OhqWlpZax3366adrdIuPj8eTJ08wderUGv3s7OzQp08f/b4BxszYgAEDMEDqEMykSH54KiUlBfb29oiKitLoPmnSJNy8eRMnTpwQNb3t27fD3t4e0dHR+ozJGGMMJlA0zp07Bx8fH1hZae70+Pv7q/vr6ueff8bRo0cxZswY2Nvb1+ifl5cHZ2dnWFlZoUuXLliyZAlKS0vrnGZZWRkUCoXGizHGmirJD08VFhaic+fONbo7Ozur++tq+/btAIApU6bU6NevXz9ER0fD29sbpaWlSE9Px8aNG/Htt98iKysLFhba6+e6deuwcuVKnTMwxpg5k7xoAIAgCA3qV1V5eTni4+PxzDPPaD1vsWbNGo3/Dx8+HB07dsSCBQuQmpqKyMhIrdNdtGgR5s2bp/6/QqFAhw4ddMrEGGPmRvLDUy4uLlr3JoqKigD8ucdRn7S0NPz+++9aT4DXZty4cQCAnJycWoexsbGBg4ODxosxxpoqyfc0/Pz8kJSUhPLyco3zGmfPngUA+Pr66jSd7du3w9raGuPHjxedobZDU9oQEQDwuQ3GmNlQrc9U67c6kcTS0tIIAO3cuVOje1hYGLm7u1N5eXm90ygoKCArKysaPXq0qHlv2LCBANCXX36p8zg3btwgAPziF7/4ZXavGzdu1LsOlHxPIzw8HEOHDsX06dOhUCjQtWtXJCUlYd++fUhISFDfozFlyhTEx8cjLy8Pnp6eGtOIj49HeXl5rYemjh49irVr1yIyMhKdO3fGo0ePkJ6ejm3btiE0NBQRERE653V3d8eNGzfQsmVLredbVOc8bty4YdKHsuSQUw4ZAXnk5Iz6I4ecYjMSEe7fvw939/rv4pS8aADA7t27sWTJEsTGxqKoqAje3t5ISkrCmDFj1MNUVFSgoqJC6+7TZ599ho4dO2LIkCFap9+uXTtYWlpi9erVuHPnDgRBQLdu3bBq1SrMnz9f1OEpCwsLtG/fvt7h5HL+Qw455ZARkEdOzqg/csgpJqOjo6NOwwmkbS3MGkyhUMDR0RHFxcUm/YWSQ045ZATkkZMz6o8cchoyo+RXTzHGGJMPLhp6ZmNjg+XLl8PGxkbqKHWSQ045ZATkkZMz6o8cchoyIx+eYowxpjPe02CMMaYzLhqMMcZ0xkWDMcaYzrhoMMYY0xkXDcYYYzrjosGYjBUXFwOobDHBVF27dg0AdGsMT0IXLlzAzZs3AZhu1s8//xxbt24FACiVSkky8CW39Th//jyOHDmC9u3bIyAgAG3btgVQ+aXS9VkfxnDt2jWUl5ejS5cuUkepVV5eHn766Se0adMG3t7eWp+uaAouXbqEI0eOwMnJCd27d4efn5+opmaM4fr16xgzZgwcHBywb98+qeNodebMGURHR8Pe3h4nT55Es2bNpI6k1XfffYd58+bh4cOHiI6Oxty5c03u8z59+jRmzZqFnJwceHp64sqVK+p2+YxOVLOwTcijR4/ojTfeIDs7O/Lx8SFBEKhbt260adMmqaNpKCkpoZkzZ5IgCLRo0SJSKBRSR6rh/v37NGHCBGrfvj117NiRBEGg4OBgSk1NJSIipVIpccJK9+/fp/Hjx1Pr1q2pe/fuJAgCubu708cff0xEppOTiGjhwoUkCAK1bduWPv/8cyIinVqENgaFQkFjxowhQRBo7Nix9MMPP0gdSauKigpat24dtWzZkmJiYig5OZl+/PFHqWNpKC4uVi/LyZMnU3BwMHl7e9PVq1cly8RFoxYffPABde3alb755hv67bff6Mcff6Tw8HASBIF27NhhEj/Q8+fP0yuvvEIdOnSgp556ijp37kxHjhyROpaGo0ePUmBgIIWEhNCePXvo+PHjlJqaSk5OTtSvXz/6/fffpY5IRJVN9Hfv3p2Cg4MpLS2NLl26RKdOnaKuXbtS79696e7du1JHJKI/C9f8+fPJ09OTevToQUFBQVRaWkpElStCKW3btk29UZCRkUEPHz6UNE9dLl68SL169aIPPviA7t27Z1IbBUREq1evpmbNmlGfPn1o3759VFFRQcuXLydra2u6efMmEUmzIcNFoxqlUkn3798nf39/ioqKorKyMnW/y5cv00svvUQeHh6UnZ0tYcpKqh/o2rVr6ejRo+Tk5EQTJ06k27dvSx2NiIj++OMPGj16NI0YMaLG1ubSpUupRYsWdOzYMYnS/amoqIgWLVpEMTEx9NNPP2n0mzp1Kvn4+Jjcym/kyJG0efNmWrVqFTVv3pzWr19PRNIWjfz8fBo+fDhZWFjQd999p7FCKy4ulixXdapcsbGx5Obmpl4BExF9//339MMPP1BRUZFU8YiIaPfu3eTn50f//Oc/NZbde++9R4Ig1Hj+kDFx0dBCqVSSu7s7LV++nIhIo3CcOXOGXFxcaPz48XTnzh2JEla6cOECHTx4UP3/ZcuWka2tLSUnJ5vMVlNMTIxGRtUe2oEDB0gQBDpz5oxU0TQcOnRIXTCqLrtx48bRmjVr6OHDh+oVspQrZtXyGz58OC1btozu3btHAQEB1LVrV8rLyyMiaQ+jpaenU6tWrWjBggVERHTp0iUaPXo09e/fn55//nn6xz/+oX7Qj9R7RRERERQREUFERGfPnqX+/fuTq6srOTs7U9euXSkxMVHSfIWFhep/qz7TY8eOkSAI9Nlnn2l0N6YmXTRq+9L+/vvvFBISQv369asxrFKppJUrV5KdnZ3RDgXp8uOqqKig/Px88vLyosGDB9Mvv/xihGSa869KtXKrWnCr2rp1K7Vs2VLynLUpKSmh1157jQRBIB8fH+rUqRPNnj3bwOkq1ZexrKyMevfurT7X8tFHH1GrVq1o+vTpRFR5bubJkydGzahaeRUVFdHs2bPJ1taWYmJiyMbGhkJDQyk6Opp69uxJgiDQCy+8YNBsdeWsSnWe7fr169S3b1968cUXKSUlhTZt2kTBwcFkZ2dHX375pcGLm5jpX7x4kZydnWnWrFlExEXDqLZv304+Pj7qk4jVP7hJkyZRu3btaN++fTX6X7hwgdq1a0czZ87UOq4xc1YXFxdHgiDQRx99pF5hG/qLJSajqt/UqVPp2Wefpfv37xs0W1W65rxy5Qp5eXmRv78/bdu2jb744guaPHkyCYJA8+fPr3NcQ2dUFeN+/frR2rVriaiywI0cOZLc3NxowoQJFBgYSIcOHTJIPl0y5uTkkL+/P3l5edHu3btJoVCoh5k5cyZZWFjQRx99pHVcY+acP38+2dvbU3h4OPXu3ZuuX7+u7nf+/Hny8/OjIUOGGPTQmtjf961bt6hNmzY0ZMgQevDggcFy1aXJFY0bN27Q66+/TlZWViQIAo0YMUJ9vFqpVKp/lGfOnCFBEOj1119XX5Gk6nf37l2KjIyk7t2706NHjyTJWRuFQkGDBw8mb29vgx/6aUjGJ0+ekFKpJC8vL5o8ebJB8zUm58GDBzVWdnfu3KHo6Giys7MzyEpETMYnT56Qh4cHffHFF+puixcvJmtra7KysqJNmzbRgwcP9L6xoGvGBw8eUHx8PCUlJdX4fVy8eJE6depEoaGhte6FGjqn6jP94YcfSBAEsra2pmnTpmlM4/Hjx7Rx40YSBIGuXLli9IzaqHKHhYVRQEBAncMaUpMqGo8ePaI5c+ZQu3btaNmyZTRhwgRycnKirVu3EtGfH4Dqwxk3bhy1bNmS/v3vf2t0V/Xr2bOn+qoVKXLWJjMzk5o1a0aLFy+mu3fv0o0bN+ibb76p8R6kynjp0iWytrbWWOmVlJTQ2bNn6x3X0DnrmvecOXPIzc1N7ysRMRmVSiUpFArq0aMHpaWl0fnz52ngwIFkZWVFPj4+5ODgQHFxcUSk3614scux+lZw1f5BQUE0dOhQvWVrSE7V3zfeeIMEQaCwsDAiIo3Dep988olBDkM35rdTVlZGb7zxBllbW2vsGRlTkyoaREQrVqygFStWEFHl8VcvLy/q2bMn/frrr0RU+UNT7VHcuXOHOnToQM888wzl5OSop1FYWEghISE0fvx4g1V6XXJWVzXL1KlTyc3NjVasWEEBAQEkCAL99ttvkmckqrzqy9nZmS5fvkxERCdOnKAXXniBXFxcDHIJbmOXZUVFBf3666/Uq1cveuWVVwxySEVMxoKCArK3t6fnnnuOrKysKDQ0lE6fPk0nT54kb29veuqppwxyv05DlmP1cyvZ2dnUokULevvtt/WeT0xOVda7d++Sp6cnCYJAu3btUk/jwYMHNGnSJAoKCjLI0YSG/naIiFauXEkWFhaUmZmp91y6MOui8fjxY63/rmrTpk3k4OBAb731lkZ3VeH44osvyNvbmzp06EAffvgh7d27l2bMmEGurq60f/9+yXNq8/DhQ0pMTCRBEEgQBHrppZcafTOQPjKqlmlUVBQ999xzdO7cOZoxYwZZWVnRsGHD6Nq1a43KqK+cVT18+JAuXrxIEydOpG7dulFGRgYRNW5vqLEZKyoqaMyYMeTn50c7duzQuIdk8eLFNHnyZLp//76kGasrKSmh8+fP0+jRo8nf358uXrzY4Gz6yqn6PqamplKXLl3I2dmZ5s2bR3FxcfT6669Tq1at6JNPPiEiaT9vFVWGo0ePkoWFBX311VdEZPyr0MyyaBw7dkx9Od348ePp7Nmz6g9L9UVRbQE9fvyY+vbtS507d1bfe1FeXq7xJcnNzaXBgweTm5sbeXp6kq+vL2VlZZlEzuquXr1Kb775JrVq1Yr8/PwafT+JvjOWlpaSv78/ubu7k7OzM3Xq1IkOHDjQqIyGyPnrr7/S5s2bae7cueTm5kbe3t6SL8uqW+2//fYbXb9+XeOqPtV4Umasvhx/+eUXev/992nBggXk6upKzzzzDJ04caJRGfWVs+pv/PTp0xQREUFt27alTp06UY8ePTQuFZcqozZ79uwhQRBo3bp1jcrXUGZVNJRKJa1Zs4ZatGhBY8eOpXHjxpGHhwe5urqqrzSpSvWh7N69m1q1akWvvvpqjempPH78mIqKiui7774zuZxV/fzzz2RpaUkffPCBSWY8f/48CYJAbdq0ob///e+NymjInNnZ2TRkyBAaMGAAbdu2zSQz6pOhMmZlZZGfnx8FBASot9pNKWfV3/iTJ0/o/v37dO7cOZPKWD1raWmpxvlAYzOrolFQUEC+vr60bNkydUW/e/cuhYWFkZWVFe3du5eItO9qRkVFUZs2bdQfRlFREd26dUvdX5/Nhhgyp76y6jtj1XMVCQkJjd4iNkbOvLw8vez6G/rz1gdDLscff/xRb78fOfzGDZlR6hsiicysaOzdu5cEQVDfGav6EuTm5lJgYCB17NixxuWSqt3DH374gTw8PCg0NJQyMjIoJiaGxo4dq9HEQFPKaYiMqjuBTT2nvi8YaKqft76Xo6FyymFZGmI91FCyLRrabgpLSEggW1tb9eWlVbccEhISyMbGRn3FgratimnTpqlPHru6utKePXuaRE45ZJRLTs7In7epZdQ32RWNBw8e0Lx58yg0NJQGDRpEixYtUjeGl52dTYIg0Hvvvaf+MFS7cwUFBfTKK6+Qg4NDjZtobt26RTt27KCuXbuSvb09bdmypUnklENGueTkjPx5m1pGQ5FV0fjPf/5Drq6u1K9fP5o3bx6NGDGCLC0tqXfv3urr0gMCAqhPnz5a2zT617/+RS1btqTt27drdP/HP/5BzZs3p+joaL00ayGHnHLIKJecnJE/b1PLaEiyKBpKpZJSUlLoueeeo+XLl9Mff/yhPsG0cuVKat68ubrxtqSkJLKwsKAPP/xQfVOOathr165RixYt6MMPPySiP6v/+fPn1TeamXtOOWSUS07OyJ+3qWU0BtkUjTfffJMiIyNr3AB2/fp1jQbQioqKKCIigjw9PdU3YqkUFhaSra2twZ6+J4eccsgol5ycsWnllENGY5BF0SCqPBaobZftl19+IVtbW3W7LUSVbRs5OjpSnz596Pjx40RUWeW3bt1KnTp1MkgDZHLKKYeMcsnJGZtWTjlkNDTZFA2V6g/CycjIIEEQ1E1Bq048paSkULdu3cjKyopefPFFGjVqFNnZ2dE777yjbmm1qeeUQ0a55OSMTSunHDIaihVkxsLCQuNvTk4O2rdvj+7duwMALC0tAQAjR45Ez549sW3bNuTn5+P+/fs4cOAA+vbtyzlllFEuOTlj08oph4yGIhARSR2iMV588UU8efIE+/fvV3d78uQJmjVrJmGqmuSQUw4ZAXnk5Iz6I4eccsioLxZSB2iMgoIC5OTk4PnnnwcAPH78GCdOnMDIkSPxxx9/SJzuT3LIKYeMgDxyckb9kUNOOWTUJ1kWDdXO0ZkzZ6BQKNC/f3/k5+dj/vz5CA0NRX5+PgRBgNQ7UXLIKYeMcsnJGZtWTjlkNATZndMAAEEQAACnTp1C27Zt8c033yAuLg7W1tZITk5GWFiYxAkrySGnHDIC8sjJGfVHDjnlkNEgjH3mXV+ePHlCw4YNI0EQyMHBgTZu3Ch1JK3kkFMOGYnkkZMz6o8ccsoho77Jck8DAKysrNCjRw/06NEDK1euhI2NjdSRtJJDTjlkBOSRkzPqjxxyyiGjvsn66imlUqm+5M2UySGnHDIC8sjJGfVHDjnlkFGfZF00GGOMGVfTKY+MMcYajYsGY4wxnXHRYIwxpjMuGowxxnTGRYMxxpjOuGgwxhjTGRcNxhhjOuOiwRhjTGdcNBhjjOmMiwZjjDGd/X8oW8IgstK2CwAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -220,17 +220,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n",
-      "\n",
-      "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
-      "\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:379: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
+      "  warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n"
      ]
     }
    ],
@@ -248,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -278,15 +278,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-1.273\n",
-      "[-1.607 -0.959]\n"
+      "-0.509\n",
+      "[-0.761 -0.295]\n"
      ]
     }
    ],
@@ -299,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -327,12 +327,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -350,12 +350,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -373,12 +373,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -396,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 17,
    "metadata": {
     "tags": [
      "nbsphinx-thumbnail"
@@ -405,7 +405,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -423,12 +423,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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5CnBlxPhV8CtY6Hcu266ZjlhcfuIpKv1wGEuORVl4NBSK9WinTcj0ZaCrcfFZIqRUnqtIYNawXvny5bF79248fPgQq1evxqFDh/Dvv/9qtHF1dUXjxo2xdu1a9O/fHyKRyC4GOwObL7/A9L330aicLwiRl1ZPSM/RSb7tyLsCADjC1ccr4q+zHxl4GC6egGsuX6EKG4tSTDxiSaBOuxWRT9G3fghCfN1ACME/V2PRJbwkPF0EqjZHH8jzpZafeKIa86dQ7IlYxun01k34Jhx98B4Vph1GzML8y7ek2AeLKuFWqVIFy5cvx/LlyxEfH483b94gKysLxYsXR2hoKAQCgemdUEwyfe99AMCl50lG2zVn5dFJB2WNDLZJgDeecKVQkX2N6kyMXucEyIcL//u2OWI/ZGHKrrtITM/BmFYV0eKnSNQv44v7bwqfkgal8JOarVn2RV8tM0rRxCJVcnX8/f1Rs2ZNNGrUCBUqVKCOKZ/5mD2P8uxbcITBJa6q0bYxCoe0WrgMHRUBFNokpItRd+5xJKbnAAB+PhqlGErMxI7r+uerLOVaTBKyJTSiimI9Ue/TqINyEqx2ThT7YO6N14J3GwDwmIQgCcYTiVeqae0ZSspVMuyva6q/K08/YpYt5hCXmo1eay6i8vQjVGqGYjVp2VKUn3qooM2g5APUOTkY5mreeSkSa/+StTPZ9hapgH7iaQCAckzes+i1kx/NocH8E6q/+6y5mGcbKEUXzsgLGtWEdB6oc3Iwks28+bwZuTxTCnE3q/1TrhQAIJhJgAh5q+c09p9bedpeSodlKEYwdn2kZJt3f9Chv8IPdU4ORqZYaroRgCBGXiIggXib1T4e3kghbmAZgipM3gtD3o5NNtnm+IP3KDflID77Tf88F4WiD2OOJS3LvPvD2H2UmJ6DjBzz9kMpOKhzcjDMiYoLYd4jmEmAlLB4SnRL03/eOFTPVgzOc9UBANMEm8AYyHkyl24rz5usqPvH+WhwBDj3NEFjuY8bDZ6hGEZqpGCp2Mwcpl+OP8Gb5Cy96+rOPY4uv56zyjZK/kGdk4Px3Q5T4pUEGwSLAAA3SQV80AqGWNCjBn7sVl2vA5gvHYB04oL6bBS+5e/Ks611FHpnhnAR8PQu/5ApwQdaKp5iAFsMyf1+Lhodfjmjs1yZ3B6doL9qAcVxMCvPaejQoWbvkGEY/P7771YbRDFOdSYa5dm3AIDDMk29w8bl/NCvgVxDb/MXjdBp+VmN9a+IP1ZIu2Oy4B98zjuKX6XdIbUs1c1ssiUynHwUZ3B97TnH8Hx+J7C0Dg9FiywbpRto50gBwAOar1doMOvJdPLkSY2CfsnJyUhJSQGfz4efnx8SExMhlUrh7e0NHx8fuxlLAaqyLwAAd7iy+EPWUWPd1i9zk3GrBukPL18n64IJ/O3wYdJRmonDcz3DgrZAqSZtjFNRcWhVWX9SMMV5STVzXska0tXmmu69TkFYCU8IeHQAyREx638lJiYG0dHRiI6OxrZt2+Dh4YHNmzcjKysLb9++RVZWFjZt2gR3d3f8888/9rbZqXGHvEBgDCmhsdzLxbweEAcWsQqpI3+kmGhtPeaIxFIhWYo22RIZ3qfmTxHMLr+eo1qRDozFrwwTJkzAxIkT0a9fP/B48jkFHo+H/v37Y8KECRg3bpzNjXQmgn2MVxdWOqd04qKx3FWof35HH/EoBgDwV9SByivP49Pxw567GiKdMWYonY/cdMMmv08pOjT730l8/scVu+1fexT5RSKde3JULHZO169fR/Xq1fWuq1GjBm7dupVXm5waEd/4f4kHI3dOWdB0TvqCDz4yUNcmjhQDAJRh3llhoS5Td9/FpksvkaYYMnn0LhWDzHjA+LkLbfL7lKJDQrptA2UWHXmk+js6IQM//fdYY72QDuk5LBb/z3h5eRms63T8+HF4eRmX0qEYRyIzHqkUwrwHALwhvhrL65fx1Wlb2tdN7z6UIeWD+EfhirwPoWQpynjcUhR/e5WkP4RXm/bVS5huRHFKeDYKlFl16hkAeQRgx2VndKrlCk28DFIKDotDtQYOHIiffvoJUqkU/fv3R4kSJfDu3Tts3rwZv/zyC8aPH28PO52CmIQMvEwyPBwmgBSdFWUynhG54gPLAP6eIsz7RH9vVh87Zc3xFW8fQtk4TOFvxQzpEKttTkjPwe1X8rmrz/+4Ah83AT5kmpfF/+Q9LQxH0Y8tFR6O3HuH+29SkC3RneMU8lkQQjBy03WU9HbFrI9tX7mbYh0WO6f58+cjLi4OixcvxpIlS1TLCSH47LPPMH/+fJsa6Ex8tdn4HExNJrc8+w2uAgCAI8CEtmEQ8XWH9b5uVRHpOVLsvaWppycBHytl3bCIXY/P+cewR9YUN4h1NZrORMVrfDfXMQHA1ZgPKDP5IK5Ma40ATxfTG1AoVjBy03WD6zZdeonMHBn+uy8fkRjfrhK8XGiSuCNgsXPi8/nYsGEDpkyZgsjISCQmJsLPzw8tW7ZE5cqV7WGj05BiIvy6JCOv73SNq4RUeKiWt6mqPxy7hLcLln1aW8c5AcA2WQQ6s5fRgncHTdj7uCGTOyc+pPhJsBZXuMrYqqe6rjbjt9022cYULxIzqXOiFBi7buYKGUtoBKnDYHUGZlhYGMLCwmxpi9OTZkLvy5+RD5+9VZtvchXw4GtlYMEJrjZa8O6gAfsIUAzFd2Yv4RPeeXzCO2+Wc7IFLEMTcSlAipWK48WRgkDmA+6TMnm2wdScLyX/sNo5xcXF4cWLF8jK0p38bt68eZ6MclbS9GS0q1Nc4ZzUxV7NyabnsYzeMfyrnLyn25x3F/8yP+J7yXAM5+fWyqnGROM+KQsAcEU2ciAEZwfFK1tNflMKN9N23zW7LR9SDOQdwyj+XvgzctWHGC4QoyRj8SAPTkpipnYfxf5Y7Jzevn2LgQMHIjIyEgBUuS0Mw4AQAoZhIJPRaqfWUD3IC/eMyKsM4MmjJN8R3cg8Y/z3bXPcik3GxO2aQ3CPSQjeEF8EMUloyD7CKdEEjfUHRdMgIwyOcPXRmXcFh2QNMEryrUW/rU4gklCefYMLnGbwhsyI0CfFOTj/NAEH7rzVuy6YicN24Y8QQoIh4u/wgITisHAKKrKadcXKsO+xWzgDn4h/tNpBmSssS7E/FjunMWPG4ObNm/jf//6H8PBwiEQie9jllGiPKHggE+7IhjuTDU9kwpuRR/Jd4Syb26sQ4IEKAR7YcCEa917nOj8OLLrnzMEo/l4M5h9VLY8jxRCgSNDlMUQVIdiJdwXh0me4Q8pbcXRApGgC3Jgc9BNPw0UuNyoqh47zOzV3XiVjgIGyKsFMHEbz9qrmW0fy9+M2V17lmA7KGiCWBOIZKYmx/F0IZhLQlxeJmSYiUFlGHkykjZQO6zkMFjun06dP4+eff8aQIdaHH9uCkydPYtOmTbhw4QJiY2NRrFgx1KtXDzNmzEDdunUL1DZriU3KBEDwBe8QfhBsNtjulsI5CHgMhjQta/b++zcIxVStoZM4+GCWdDCWSHshjHmFaFISCfBGcaSgB+8Mpgq2arTfJ5qOytl/Ihvmv5Qw4FCOeQs3JgcA0IK9reGcqIyRc2NMS2+jYCHKsbnJ4p14V9BJ8bL0kCuN0Wo9+RAmDt/w96AVewszTfymoUh1OqznOFg8gcAwDEJCQuxhi0WsXr0aMTExGDt2LA4dOoRly5YhLi4OjRo1wsmTJwvaPItZdvwJ0nOkaMbe03FMqSQ3mfaYrA6I4r9NIiNwsSCJ0MvV8LtIKjxwlVRGAuTzWQnwxjpZV+yQ6c4fjuAdMPs3AWAe/3ecEE1SffeD5tCldtY+xbnQHw9D8D1/q8ox3eLK4QEXilOymjglq4mTslr4SdpHY4uHnL46ZpZBe/GOg8U9p969e+PAgQNo06aNPewxm5UrVyIgIEBjWYcOHVChQgXMnz8frVq1KiDLrGPpcbkAZTv2mmpZIvFE3Zw1ABjwIEN55o2O4OvRB+8xvp15UZOda5REfNcczN7/wGy75kv6wxOZuM2Vw1j+bogYCcqyb1XRfWb9Lk9zyIbPaG5sToFFStFFn3OqzMTiK/5+AEAC8UJ38RwAxgNn7inmmeSakcRke737eJ2CuqG0soIjYLFz6tOnD4YPHw6O49C1a1f4+fnptKlTp45NjDOGtmMCAA8PD1StWhWxsbF2/317UVJRfv0D8UCrnMVQ3mAy8BBFdHus33c0f/6JYeTDgL+djcZrA1VCtUmCF0ZI5Kofb4kflgpX6/R8TKGcK1PiAs18rrYG8rQozsHyE090loWq6T72F0+DOY5GGcXqwkjghUykwt1iW2buu49BTcpYvB3F9ljsnJQ9khUrVmDlypUa6wo6Wi8lJQU3btwodL0mdZSq4zMkg5GilmhriIgwXSdtit8H10OHX86abqhFoqLqbnHGfOdUAok6y7SdEx3nd24uPU/SWVaakReq3CdrrPelTB9ZcEE6cYEHk43W7A3s5j6yqZ2U/MVi5/Tnn3/aww6bMHr0aGRkZGDatGkG2+Tk5CAnJ0f1PTXVsYaU3BSq4xmwn2JC5RLWifMq30yV+VamYMChDpv7VrxJ2hqf8U+gBKP5MKIBERR16jGPME2wBQDwklj28hVFglGHeYpw9rnVzikjRwp3kX0qRFPMx+L/gUGDBtnDjjwzffp0bN68Gb/++qvRaL0FCxZg9uzZ+WiZZXhDXl8mgxiv61QQKJ2TP5OCT9izJm/+Rfx16M0/AwB4xIXgBFcHn+EEqrCxKIY0JMMTAHDhWSIyxVK4CekDgUKwWviL6lsSsexFao20K9YJl+Jj3gUslPZDDixXTzn/NAHtqlHF/IImT+n+jx8/xvnz55GRUbAFu2bPno25c+di3rx5GDNmjNG2U6ZMQUpKiurjCPNTyp6DCGIEKeacXkN/LSZbYajWkzGSFM4EAH4SrAUfhkOAhZCoHBMA/CHrgGtcbuBGTfa5Rvt5Bx9abA+l8BOrpcJfDOkqxQcASCKe2psY5QRXB69IcfgxaejE6s+dMkWG2H5l4inmY5Vz2rhxI4KDg1G1alU0b94cjx/LQ4H79OmD9evX29RAU8yePRuzZs3CrFmzMHXqVJPtRSIRvLy8ND4Fza4brwAA1ZloiBgp4ok3XhPdQBNbsv7zehZvIwUfK6TdAAB8hkMY88pg2/JMrthsWPYGbJNFIA1u2C9rJF/GvNRoH5+Wg8LIy8RMJKYXTtsdgbZLT2t878M7pfp7v6wRDnKNLNqfDDxsl7YAAHzOPwYAqM88wm3RF1gjWIr/hN/htugLDYV/bdJzqMKNI2Cxc9q+fTsGDx6MOnXqYMWKFRqluevUqYNt27bZ1EBjzJkzB7NmzcIPP/yAmTNNpd05LpN3yRNjy7PyB/pDrrQql8kYP3SuYvVvugh4GB1hudLDz9K+uMXJtwtWTFrrw0/x9vuQK60xtPJW4XS1gyoEhbAi6YE7b9D8p0jUnau/+CbFNNo1lj7lyWXRzsuq4WvJN5BYIf95kGsIAKjNPkUF5hU+5UfCm8lEB95VhLGv4M1k4hPeOb3b8lgGadmaArRlJh/EqM2Gy25Q7IPFT4QFCxZgyJAh2LdvH7788kuNdVWqVMGDB+bn0OSFxYsXY8aMGejQoQM6d+6MS5cuaXwKI8qeyDMSZFZ7S9Qh9NGtVimrtosl/gCAECbeYBsvxdxZKjSr8SoTij2hOZzjLtKtR+XoKGsAUWyDEBKEKio9T5MOtXo/T0mw6u/J/K3oydONTB3MPwohdFXQWQb49cRTPHonf3k69Vj+Anbo7judthT7YrFzevjwIT799FO963x9fZGYqBs6bA/275cn6B05cgSNGzfW+RRGGrDyeZebXEWz2udVzbtSoGXj+UpiFRFUwQackz8+YDD/PwCa6hYAkKLIPSmt1esKKuZ4ASDGkHEE+2/r1smiWE8IEwceQ5BGXHWSzS1lsaQXAKAN76bBNie1hI4BuepKlkSGDr+cxYWnCRj851XVun7rLtEh3HzEYufk5uaGlBT9ocSvX7+Gj0/+ZFefOnUKhBCDn8IHQTlGrsp8lxjuEdm6uoTQAvkjJa+M9JyCkIAzonFowMrnIV8QzQTbc1wNcIRBU959VGNiAMid7NYrLwtNSPn3O++g/NRDGsuyxHSewhr8PXI1GpX1yuJIMVij7qDOFllrHJA1wl2uDG5wFTBWPAqDxN+jWvbvqjbBTILRffTXEqO9+DwRsyxQV6HkDYufTE2bNtWZa1KyYcMGtGzZ0hZ2OR1eyIS7Qhj1rZGSGLaufWTN3nKH9XTnnFrybsOVkSfZ3uQq4G9ZW4310aQkzilKZtRnHwGQ90Lep+Zg8bGC19gjhODea+N5XP9e1Y3wrDLjCF59yNTTmmIMF2HuI6g4FPXK4G2oudkkwhtjJN+gq3g+eoh/xF6uGU5zNZEBVzzkcpN6RTBefVobWt4l/7DYOc2YMQOXLl1CgwYNsHz5cjAMg127dqFr1644c+aM0QRYii7K3kIg8wEAkEzcLVL8zivWFKFVOqdgJgHN2LuIcemPGJf+GMHbjx6K8f310k74RPwjXugZnlHOqSmPGQB4DJCSaV0lVFuy7/YbdPn1HG7FJmss5zjTPfKvNt2wo2VFkwy1yDhlEE2ChblNltJDnJvnWAzpFm3L5LFHRzEfi51TvXr1cPjwYaSnp2PChAkghGD+/PmIiorCoUOHUL16ddM7oajIUJRm11flNj+oX8aywoUA8IYUB0cYuDE5+FOwSLV8imAr6rFyAdsotUlpbeKIfOhXWTMKAMAwkBqqY5CPvEyU934SFKHthBB0Xn4W5aYewvCNxiO27procVF0yVLLKfLLp3sgCy6IVzhAH8ZC50R9U75hkXMSi8U4evQoypcvj4cPH+LJkyc4d+4cHj16hMePH9MhPStQlmZXDi9kmchot/V02tqBdXHwm2YWbSOGAO8hdzACRv9cywOujMHt5XMKgD+SVcsIIXpLyec3SguUDyEZR1Sq6ccf0ug8W8JxBFlqoeTKYb3EfHhBSyFy3crNwnkYwDuO+fz1RlMjlDAGvFPk4ziM2UJ7zrbEIufE5/PRpUsXPHki10srX748mjRpgkqVKtnFOGcgVZFT4aIIa822Qm4lL7gJ+agW5I0RLcpZtF2i1tBLIvHEDllzeWkN8SjcN1ImOw7FAGj1nOAYArBK5698Bp1/phl9+jze+Jv2hwzL5jCcGW0lBmXum1Jg2J4kK0SV/Zg0zBP8gf78SCwRrDa5naGO0+jNNwyWmadYh0UZbizLIjg42OHEUgszmYooL6VSdzYx0XMCMKRpGXStaV4ulLl827oS1p5+brqhgmSSW47gAReKTuIFZm+r7DkFqM05EYIC7zk9i0/H8pPyF6+hG67pbdNq8Wm9y5UM/vMK/v6iIbxcBDa3r6iRnqPpnHLnnCzrOX3eOBQbL77Isz3KCFNj7Lv9Bl+3qoCKijSMyTvv4B89ATKUvGPxnNOwYcOwcuXKAiuLUdTIVLw9uigi3MzpOQV5u6JOaduG7LsKeehco6TZ7T2Y3HpQSmdjLsr2vkw6BAp9PgLg8L2CS3QkhKD7yvN5dpC3X6UgfNZRxKVl28iyosvSY1Ea31XRehYGRFjjmDKJbtBRNhEgd2DXMBfUetPUMdkPi7VBhEIhHj9+jCpVquDjjz9GyZIlNcZhGYbBuHHjbGpkUUaZ5KfsOZlUUSbEbpOyIb5uphsp2CNrhloK8db3xDJH+UFNQLY/7wT+krVXfc+WyOAiyH+1CClHVPN/tiDqXToCPO1X9qQosO1arjYjH1KEsvI5H0tDyf3chUi0cDg1Xs9vuDASeCAL6TB+H1iTG0ixHIud0/fff6/6e8mSJTrrqXOyDtWwnqmACACsnbxTaQucU4rasF6KxRVHc+2fLfhLwzndf5NaIGWyLZ3vYsGhF+80rnCVEUN0e5xP4tLQzArld2eiRilvVYRjBzZXicHSYb253avjq82WBSMsknyKssw7PCdBqMZEowor7wH5MylIJ8bvg/mHHqJfg9J616VkSuDtRod0bYHFzik6Otoedjg9qmE9YvrCtnUirhIvV/Mvh4tcVdXf+jTKrCW+gIbDJFLLhvP6805gruBPSAmLCjmbdNbP3v8AadlSfNPaPCkqZ6RFJX/ce5MCQoCSilIxYsJDBiyTsuKxDNZ8VgduQj5m7L2HmETTydDv4Yse4h9V308IJ6A8+xbBTDyi9bxsqGOsh13zx6OIWdjZfOMpBrHYOYWGhtrDDqelb70QbL/+CiIzo/UIsb2EkRIXvvnDae+QW9Ij2Yxy8sYhUPamtFWq8wuxhT2nj1i5kjyfMbzdkmNR1DkZ4OSj91gR+RQCHgOJjMCbkQsFb5a1sXhfAh6LiMpyvUdzHJM+7pByKI+3aMQ+wFku3GR7sZRDdELB1rEr6lg8eMrj8XDlyhW9665fvw4er/CpSxckBAQsY9mwnqFci7xSwtuyOZI5kgG4xZXDH9IOFv/WN+LcopBeagrlOdKCCbTRLpNgCh5y7XSF4d7e9mux+OtCjLVmFVm+2XoLQG7ovvIa0FaxNwdb3A6XFCMB7dlrYGD6RaXSD4fR/pczJttRrMdi52RMwoXjOLs9OIsqHJE7HJGBUHK+nm6SvYb1qpfyxq5RTRA1tyM2Dm1gsv3vss7oLp6LVCt6Tvu4JirFcqW6OcMAOQUk/moqRFybamxuhJixoouTdtzBzH33rbarqOIhkg/acIrniZei55RKLJ2/BKSy3GeStfOVJ2W1ISY8VGDfoDKTtwg8moxrG6wKOzHkgK5fvw5v7/yV3ynscBwBCIGbQvQ1S0tXT5+kj72G9QCgTmkfCPksqgXZPxHyGidP3u7Ck9ffIkQeXnzxWf6UXbEGHmQYy9uJkkySatke0QxV/SqKeRBFyLby6vY2UP/LHKRqYqwT2lknCBCPYrhL5InoyuoA1kKTcW2DWc5p2bJlKFeuHMqVKweGYdC9e3fVd+WnZMmSGD16NNq0sXzM2JnhiPw2dYPcOWWaIfqaH71TPw8RVg2oY9ffOKgo2d6SvQ1APuv0IVOCfusvqfK/7E1yphhNFpwwu/2nvEiME+zUWX5YNNmWZhV5lL0d5UBMMUXPKcWKnpNYreeUl+RnZXmXlcLlcEU2gpk4nBBOwEbBApiT/0SxLWY5p4CAAFSrVg3VqlUDIQTlypVTfVd+mjZtihkzZmDt2rX2trlIobyvGioKDWbpSQ7Uxl6h5Np0rF4Cpye1VH3/X88aedrfjC5Vsahn7mTzWU6+v6rsCwQiSeP2T0gTQyzl7K4aseRYFN6kmB8hqP5WvUjSR/V3KSYRjdi81fp5/C4Nxx44h36fegBKN/YcarNPAVgn+qp+N7gKrZ/zPi7LfRk7IxqHFYJfUZ59i+a8u7gjGo6SML9HP3brTQzZoH9unmIeZkXr9evXD/369QMAREREYPXq1ahcubJdDXMWlNVUvRn5hLC+gAiWkc9NKeHlUw4gwzAI9XOHu5CHDLEMfeuXxubLL3HnVYqOTeYwtFlZvE5WU5aAD5KJO4oxGWjOu4PtspaqdR2WnUGmWIYu4SWxor/8odFv3SV807oiGpf309611Via3xSoNpy3W/YR+vBOowwrdyiN2QeqiXV9vyPQ+o/LEsvwOjkTFQLkScnKCXZnCEXOUYvKnCTYpvo72sIKuJM7VkbH6rnblPZ1w0cVi+PsE+OFBPVxiGuIKK4UKrGv4c+kqIofAoAXk4ndohlolLPSrH3tpVWS84zFj7nIyEjqmGwOgYzI3/9uceU11gR46vak8qvnpOTi1Na4NUNeNPBZnFz41FLH1K6qfMikVDFX1AzOfTu+ysmvpUB80Giv1Bw8cOctdt14hWyJDBefJ6Lf+ku49DwRUe/TrDoWbcQW5jcpgzdGiL/FW/hhibSXzjp9VJ1xBABw/UUSzj6JR+MFJzBh+y20WeKcEV/KnlMlJlZVkbZdzv/wwQzR15MTWqj+HtmiPPhqTl/AY/H3sIZoVM7yUjAAg/bi/+Fb8SiNpTtkzQEAJZgP8IBloerxabSsu7VQHQ4HQAgpeIz8IZmulYBYv4yvjiPI74hILxcBirnJe3QyK2t2LO9XW/X3+HZhqr9vc/JJ6DY8w7WSxm+7jYNqk8yfrruEdkvPYOd1w1Fy5vJUTWW8BXsb50Tf4JBwCvhQn/MiAAjCmJeowciT0B8Seb7fQa4R0ok8BL+qouy8PiQygmMP3qPn6osY+PsVvE3Jxo0XyQAUQTFqXIlO0rOHosPhu7n/l5/zjgIAHnIhiCIhhjYBADQp74ctXzREOX8P3JjeFhcmtzLYdmxr6wIjCFjs4XJLyMgIg4mSkarvNVjLRAim77lnlR0U6pwcAhfkvl1pD+vVCikGnpYz0v6en7haoXv3v541NPTy/D1ye4P/ylqCIwxqsc9Vwp/6mLD9tlnLLIEQgtuKirciiPE/wToEMwmoyr7ALuFMVbtZ/L9wR/QFvubvAY8hOCGrjZeKyXMZeIjIWQxAHlJuTC1j+EZNpfN3qfK5rmypDNmS3LypSTtu497rFB2nVVTYoJb31ZSVP7xNJd9entoaW4Y3QpMKckkoX3chgooZVpKwrueUi3IEYw/XFACQokh7+EuwUNWmFOKxXzgVD0WD0ZK9pXc/aTkFX925sEKdUwER+TgOsxT5L66KHCcx4UGqNQ3oJuIhrISnxjJ7hpKb4t8RjdEyzN/s9lFzO6JvfU0dMvXjiYcPHih6IU1Yy/OBHr+zfngvPj33paA1ewMl1Ep4hLPRiHHpj/LMawzmH4UXk6UKeT/G1dXcD4ohjbiCZQhKM5YHNGSKZTgTlTsk+CIxE11+PZdn5+uoJKmJtPoy8v+/iwbm6rxc+PhzSH0EelmWIG5sdEF9WNAQw8XjMVsyELMkgwEAa6VdAQBCRobKzEsURwo2CheiBhsDV0aMDcJFGMw7orOf808Tsf1aLD5kiHHswXvM2ncfe26+tuhYnBXqnAqIIX9eVb1BuipynLL1hJHzGAYNyvpqJOMWZKJzpUBPfFrf+PCLOvoUnLWTiJX5TtUtHDIB8lagsMG83BDymuwzAMAmaWuNNidEk3S2i+K0S9AzeKbQY6vKvLTYjswcGbIkusoYu4voQ0ypfs+AgyfkATLKyrTapGZLEREWYNXvqEeGqlPO3wNNKxgPqomHD/6UdUSaIu9qlawbzsjk0aXf8f/BftE0lGc185lmCTaiJvNUZ1+TdtxB7TnHMHzjNWy4EINv/71lVMyAIoc6JwfA1UiJdpZlULt0MY1kXHspRJiLpW+x+lDP5H+smGtQOghL+O2s+QUSDRHOPMMI/kEAwA2uIk7LDGuryQiDKKLtnIBrnHwerSPvslnyN+rEpWXj/FPLo8sKIxxHcC0mCSwj7ymzDEEO4SPZgLL9qJbl9S43h151c/+ffuxWDfdnt1dFQi7uXUu1rkO1EmhWsbgqaMcQP0n7AgBa8W6pkrD7iaehbPYm1dxpEzPTCQpKQ7IwkSfnFB8fj5cvX+p88ov09HR8++23CAoKgouLC2rVqoV//vkn337fVrgq5pz05TjxGEansGAB+ybULu2D+mXyVtZCPZP/uqLnVId5AtbCB/ueW2/QaP4JvE3JMt1YjaP3cwsbfsk/AACIJ144yDXCj9KBeEU0y11kEhEec8FYLO2jt97PXpl8bqIj7yqiXT5TyVGZQ681F7Ht2iu71elyFA7ceYNyUw8hNVsKjgBjeHsByB279nA2IA+p/66D9ZHBLMvg9sx2mNC2Evo3KA13Ue5vlPB2Ub0grf6sDjYNa4jaJgp43iXlcF5WTfX9FlceF7lqIGCxX9YYAPC94B+z/u+1qwBTdLFYlTwtLQ3jxo3D1q1bkZ2tP3kxv6rk9ujRA1evXsXChQtRqVIlbNmyBf369QPHcejfv3++2GAt6nlCynIZ+npOPJZBsI8rfNwE+JApn1x1hIdY0wrFcTXmg9E2FQKMaO6pjWo8I0HgCAMBI4MP0pBoYbG5d6nZeBqXjpLe5pda+PLv3OjALrzLAIA5ks+RAyGekVJolrMcANCBvYIPxBOXSRWj+1NK3yjpwTuLrbLWBlrrR99Iz/UXHwqkvpU9GLPlpsb3SooaSr/KPtFpO66NddF22ni7CvC1AWX4zV80RHKmRDVMPqxZWYilHJYej9LbHgBGSMahB3cWH7F3MV86QLVcPQVksWA1xkjGGrUrI0cKfz1pIpRcLHZO3377LbZs2YJhw4YhPDwcIlHBnOBDhw7h2LFjKocEyBOEX7x4gUmTJqFv374OrZDOMIzqaaQcd9fW1QMAFwELRjHv9N99+WS7IwxXm1Ottp6Rh6r6MKUMPKTCDcWQgWJMOhKtUgmwzmN7quWt3Ce65WCOcKYFcJV0y/kRe0UzAACd2MsWOyd9/O/wI/zzZSOwVnSXLzxNQOPyfgUuxvwhQ6wz9+iNdPgpgiGUQ2LqfNO6gt3tchHwUMI79zoW8lmMbVMRF54l4LKBcP50uGGjrD02qhXIBDRfTioZEQJW0vLnU3g2v1OBD9E7MhY7p4MHD2LhwoUYO9b4m4G92b17Nzw8PNC7d2+N5UOGDEH//v1x+fJlNGnSpICsM426LI9SdUBfufN6ZeQhsXVDfVTOSVtpoCAQmShVPad7dfStZzhwQjtfKgsiFEOGqnSIpVgbGFFcTQXgGSll1T6U3CYV8I14NJYLVyKQMd6rNJcrMUloveQ0Tk5oYZGTuf4iCf1/u4xFvcLRx8j/g73hOILac46hWQXNYVLleU8hbsiC5hxm33ohBepQN3/REFuuvMSMveZHj+ZAiNY5P+GEaBJCmTiIIEaOifI3Cek5Npm/LapY/JTLzs5GjRp501izBffu3UOVKlXA52v61/DwcNV6feTk5CA1NVXjU9AoEzuf66nAqRSyVJ930hcBl9+Y6jmV9XM3aqd2tFKWolSIK6zLqLekWKD6b/tC/v+vPcdkLcrk3BJMksWBEYaITsjArH33Lap1pZQHiinggnhKuSplPpkSH8h7TR+Ip/YmuP0qWWdZfsLnsfB2tVxA9jkpifekGESMBPXZxybbU/UI41j8lOvUqRPOnj1rD1ssIjExEb6+uol2ymWJifpFGhcsWABvb2/VJyTEtm+VMo4gRyrD+acJ2HvLvFDgxjx5hI+2LpuQx6oe8NVL5Q51WXPj2BpT6s98nvE332YV/NGqcm6IsDKM3pWxrud01QJVBYmainU4K4/2e0Ms0+szdHQxpASyiBBeTBZqMNEWB3gY4q+LL7Dw8COz2ysn/wt64l0pQ6UtyKpUIddXRTklq+ATV92FuS+9P/UyXRkXkKtL3OTk81vlGdPaeh8yrbvWnQWLndMPP/yAf//9F0uWLMGTJ0+QlJSk88kvjHX9Da2bMmUKUlJSVJ/Y2LwVFlPn8bs01Jx9FGE/HMGA3y5j7D+39LZTf3MPZuIQzCRATHiqfB9A7piuT8/NmncR8HB1Whus+awuqpS0f60lUwQVMz4cYarkhZDPYlbX3MgnZamQ0kycVfb8ds78HCn1B3Y9xRvuFc6yqDBD034S8HGbyCfH94mmY5NgvkX7NcaRe+9MN1KgvPxTsiQFqjQx/5BcbT85U9Ph+DDKnpOuc7JGhcTWqDvT3hYMi8Yr5kvH8neqeuWG0D4nFE0sdk7Vq1fHo0ePMGnSJFSuXBn+/v46n/zAz89Pb+9I6Rz19aoAQCQSwcvLS+NjK9r/ckbnTVV7OAPQfDi2Z6/K25HyGmPv37atCE+t3om/pwgdqlum2mwvagYXw5xu1fBDZ3kUm/a8bmlf03V51Ifi7nPy4bDv+f9olEC3BHMTG8dvu6X6u6ai53TVQuekxEOkO237gsvNl2nCewABbNN7eZuSraGuYIx7r+UPxr233uCT1Rds8vvWcFqhfKE97FqXkUfEJUF3WC8vZS9shXJed/hHZS3aTjlv7MukYyL/X6NtU7OpczKGxQERM2bMKPDoHwCoUaMGtm7dCqlUqjHvdPfuXQByJ+oIfPbbZUROaoniCj05sZRDjVlyscsSSMR3igt4t+wjje0al7NdWQh7wLIMBjYuA0IIPqroj4oBHrj+8gN6r7mIPwbXMx5GriDQKzc6USn66cVkohfvDP6VRVhs00//PTYrL+bUY/kDsxTiVYrY97gyFv8eAPSuF4w/z8doLNsha46+/FOq79/x/8FiaW+9CiCWYs68U7ZEhqm776q+63tBsjexSZk4/lC/lFMEexOfKs7PM043CMURek7KmCPl+46rgKdXxUObf2UtMZj/H4ozqajEGh7WZxh5FCPFMBY7p1mzZtnBDMv55JNPsH79euzcuRN9+/ZVLf/rr78QFBSEhg0b5qs9Cen6JzfTcqSoN/e4KjNdPYeiNvsUIkYKCeFhmyxX72tI0zImEwIdBYZhVFp59cv4WlSLyNNFgJ9718TE7bexT9YE4/g7UJxJRUf2Cv6VRSCceYapgi0IwAe4M9l4Q4rjLlcW+2WNcZXoOqFVp55hYrswk2HXrSoH4OSjOFRnYwAAD7nSFudWAcCIFuXgJsi9hXgMAxkhuEoqo3fODGwX/QgAGM4/BB8mXUPd2loS0sQm87lyHEB9YMquuzhnQPXiIzbXcW6R6SqLO0I0qvIFXDkiem92e5SfesjkdvHwwWfiqTgimowqzAsIIIVEz2OWEODno1EY00p/DhYljwoR2dnZePv2rcFkXHvSsWNHtG3bFl999RXWr1+PyMhIfPnllzhy5AgWLVqU7zlOWy6bVsbos+YiVp/KlegJUcyvHOAaaWTIz+iiXwSzKKIM+EiDGwaJ5aXOw9ln4EGGfaLpaMQ+RDn2HQKZZNRmn+Jz/jEsFa6CoVmfS9Gmq5WKFb2PDjx5pdIrXJix5nr558tGmNyhMkp6q829qfnEq6QyDslyc6R68YzXbfJDClYIlmEMb7fRdl1XnDNpmyWRi/bCWKqBHyMfcpwjGYBktWG9L5vLc4WGNC1jV9vMwVMxXKtMlLUkH+kxCUYS8YA7k4NFgrVozV7HGeFYHBNOwhLBKq1yLBRDWNxzAoALFy7g+++/x6VLl8BxHFiWRZMmTbBw4UI0btzY1jYaZNeuXZg2bRpmzJiBpKQkVK5cGVu3bsWnn35q8b4yMjL0OjQejwcXFxeNdvoQEjE4SQ5YQe7QDSfOddrp6em4FKUWwcMwCObL3yxfEX9wkmzV8zYzU7OgGcMwcHPLlczJzMw0OL+i3TYrKwscZ/hh5e7ublXb7Oxso0og5rblcrJBCAHDMHhPfJAjJRDI0hEgeYMMVvMYH3EhqC58g2A2AZ3YyzgorgvCae731vP3qFlC3rNwdXUFy8ofkmKxGBKJBPdepyD6XRI4cTaC8RIZMoJT4kogPA4MI29LZBIQI8fG8AVopBh27RYegL/OCHH3dapOXN4HwkImIqoHm0iWgSyZ/pem/vz96MBcQhfBZZziauKutDSITP9DLCMjAyKRSDWcLZVKkZOT23NPSc3SuPYYXu5trt1WG6FQCIFAPtcpk8mMvngKBAIIhUK9bYVEomUDDwxPvl8fkowMMcE7sSs4LrcNkWTh/vSWqt8HAI7jkJVlWJqKz+erhAAIITr3jrVtQ7wF2DCkvio/KyMjAz+0L4cf9+tq5zEsC4afm9MkE4uxg6uPAfyTaIdzaIdzUPqjYOYVTrK1cYCTPydLj9+J2zPb6U27YFkWrq65vWRL7ntHfkYYeobqQCzk4sWLRCQSkcDAQDJq1Cgyd+5c8tVXX5HAwEDi4uJCLl26ZOkuC5SUlBR5JTkDn06dOmm0d3NzM9hWFFKdhH5/QPVhXb0MthWWqEhO/NCckJle5LupEwjPK8Bg26pVq2rYULVqVYNtQ0NDNdrWq1fPYNvixYtrtG3RooXBtm5ubhptO3XqZPS8qdOrVy+jbUPG7SCh3x8g5b/fQwbVFBhte2x8OCEzvQiZ6UXq1KlptG10dLTKhokTJxptW3LoStX/m3fTfkbblvh8iWq/ixYtMtp2/+e+KntXdHQx2vZAP1dV255dWhptu23bNpUN27ZtM9rWr9O3qrYHDhww2nbFihWqtpGRkUbbLlq0SNX2ypUrRtt6N+2nOr/7RpQ32nbixImq/UZHRxttO2rUKFXbuLg4o20HDRqkapuenm60ba9evTSuYWNtXcvV07jvGYHIYNsWoTzy97RPzHpG1KtXT8OG0NBQg20L4zMiJSWFGMPiYb0ZM2YgPDwcz549w8qVKzFt2jSsWrUKz549Q40aNTBjxgxLd+m0KMt62yoBtLAjBR8SGB+O/VnaR/V3IzMVoAEg8pF5IerzPqmO9tVsFxH5hWQCLlsRCdiCvWMzGxwJF+QgxEg5e2egNqtbVoOiC6N4KzAbLy8v/PHHH+jVq5fOuu3bt2PYsGEOobpgLqmpqfD29sabN2/0hpWbM6z314UYeYIkwxgc1js2rjnaLs2ddxAwMtz3GAUXRoIWOUsQLS4GEODhnA46+y9MXXZL2/57NRazDz9VTUAfZceiFHIdSRpxRbecOXgPH3BgwQhEqMS+xjHRd8iREjyVBqCj+H86+61Tuhh2fROhGtYLnbRHY6huveBnNOPdxw+SIdgpaw5GIATDsIic2BJBnnxUnHLA4LFN7FgN37SVOxzlcCEAVJmuW2yO4Qvgxkrw0GUoJDICsQxIJm4oxugOKV1kaqKNQO6U4qTuqJf5q97ffzing9FhvUfvUvHJytzwcW8PF9z9sbPettrYalhP+1woh/Uas/exWTAXz8U+aJWzGOoTdV+1LIdvWlfS2G9BDesZuu/Xnn6GX44/US3/bVBdxCbnYFlkDFKz5WN36vd9U/YuxvJ3YrpkKJKJB864ToCAz0OtnHVIhxs4cTZ+7FZNby6VIw7rpWdkQiKVGVR/Mee+T01NRVBQEFJSUoym8lg85ySTyQyKvbq4uOSbIrmtcXd31zixxtqpI+MIFp2IASvUTUpVX9Z17TWN72N4O+HCSJBAvPCSBIAVsHr3rw/1C8sU6he3Lduq37h5aVu7XCAYJjdI5Cobjkr83CKADbJXIkMot0t5OzwhweibMx3/iuagFC8TLHT3/yqdUzkmAGB4AtWcBwAECMVwZxmkwxcsL3d7Txf5A+y3YU01lMvVCSyWe/6FQqHqQarvGgCALPAQlr0Bj10GQ8AD3JEFfRoTm8Xt0QZy5+TDywZPKATRE7Pk5uamkc7B5/M10ikEIomGLVLCM9jWGDwez6zrUdk2OlmKLr+ew4Gvmxk8Fw2YR2AZBvf5VcESzeute/3yOr/HsqzZNjAMY5e2QO59Wa6kH1hhbuJ+2/BQMAyDQc0qosK0w3Kb1Y79IurjIuoDikvvLa8kyjHv0IS9j6NcfbBCF8w6/AwDPwozGXRhyX1vr2fEV//cxdknCRgdUR6T2hsfETB035vrIywe1qtZsyZWr16td93atWtRs2ZNS3dZqJl38KFZ7cTS3DeT8sxrjBPsBCCvZaTvAeQsaIfM/ygdqPr7gKwRMqD/xnlKggAAXsi0SiLIDfK32wwtx+bpIn9wN6+kP5mcYYCPa1ouEJsDIQaJvze4fph4AiK5WuiWIw8/FzAyTOdv0ttWXX5JH1lizZs/v6L3TjyU93i7/Go4orA+K5dguqoVIbm4d02HUD4xRTn/XIdWu3Qx1UsC38zw9zOcXAqpudawbVxa/kc8GyIuNVtHjWTWvvsY/OcVnH0iD+JaGWl5YVBLsfipOHnyZBw5cgS1a9fG4sWLsWXLFixevBh169bF4cOHMWXKFHvY6bDsv2NaQ0sb9THnP2W6w3jOhkBNhy8Hub0bY0oRKYrKqSxD4I10o/vXJ9/jzsgfBplE0zmJ+PJehtDAw+b5/E4GFQzmdDee+H2aq6lRZVei6NG8Jb44zdUEwOA2yS0VMZSvO0wIAFIjQzAAkJatGeUnU1SftZaUTAkWH31sUgaJwPh6PqSoo7j2teWign3Mf3svSMr75yaX7/pKs+qBMhTeGJrOKfd8HXugP2HZEDdefsDR++8Ql2qdU9t/+w3KTD6o9/905r77GLnpOrr8ehZlJh/EZ79dxoYLMark9fzCYuf08ccfY9OmTYiPj8ekSZPw2WefYdKkSYiLi8OmTZvQtWtXe9jpsGRaIaypLAtxTFZXR+zVGdHsCeQ6Kp6RHpEUfKQqhoX68U4a3b92eQ43ZKuUIfTJ5wAwmMhrTB1lYKNQo3YAwEXF//cH4oG6OWvQNWcu2uUs0lsJFgBCGV09PbGUw6sPmvMlsUmZ+PXEEzx5n4Zn8brOuteai1Zr7P1yIgq/nnyKB2+NzyWb2n0T9j7cmBwkE3c80SpPUsLb/GHigsRdxEe/BiHYMKS+zrWgT8pKm0tcVYgJD6XZeJRR+7+1pDwHIQQ9Vl3Al39fx2e/XzbZXirjkJotgYwj2HrlJWKTMrHhQgwAoP9vl3TaP1T8PyslsAwlU9sbq8aT+vfvj9jYWDx48ABnz57FgwcP8PLlS1XRP2digBkPJG2UZSFSDQxZUeSYSnu8qyhSN46/Ez5GRDaV4qNKIthbAORl2WNJ/mhBKlkn64JeOTPQIWchUuGOu6Qc0rTKvg8TT1D9/SkvUmcfteccQ7P/ReL6iw+qZeP+vYXFx6LQdukZLDj8SO/8hTW9fAC4quh1KXtgZ6IMvEEbia0SQoKNQnngylWuss5QtlLeqzCwoEc4WoYF6CyvaIZkVyZccE0xpPkp75TGulY/n0JskuEgDSXnn+Ymmke9Tzep0Vdh2mGEzzqK384+x5Rdd/HRokjV71x6noQTD9/j70svVC8v7mY42fzAaisYhkHlytaJZRYlAr1cNEqum4OroueUTQrPDVkQZMN4WY4hku9wnR0JTyYL1dkYnOV0SxtIZZyO9l04Kx8vPyarq/GQrKFWlgQAVvavAy9XPtyEfNQOKWZi0ErO8fHN0WaJYTUIDiyu6ZFeUucEVxerpV3xFX8/Kuqpqqr0AT1XX1DJRWn3DmV6Lsglx6LQrZbl82XKN+jIx3GqSDV9MlUSPb9ZlYmBG7JRnn2rWqaU6mKQO7DlKA/EvNCxRkncm90ei48+1rnm1PlD1hFNeA8wiPcffpH2UGkuPk/IwEeL5C8jT+d11DuP9TIxU6e3FD7rKB7+2EHvcLP6cO4CtZIrcWq1pIb9dQ0AMH2P/hp4BYVZV8SZM2dQp04deHh44MwZ4zIsANC8efM8G1aUcWXkF0aWVqXMie0q6WvudKyXdsIA3gkskfY22k4MAU5zNdGFdwnVmBicRa5zYhVDLvoeEt148jDry1wVjeXaYrWdw3WLP5qiQoAnln1ay2C5FHO5xcnnnpR1j0zBmiHG/CLR9Fu5MdRDqN+lZGsMxSVnijWkuQBAACkOiaZqLDspq4VjXD0AuY5p+8j8U5WxNx4iPn7oXBWfNy6DiJ9P6W1znKuD18QPpZhENGXv4QRXV6fN6ah4tK4SqLO83S+n9e7zlxNRmNJRfj2/SMzAlssvUTXIK8/XoTYMOMzg/439ssYAzNfRtAaznFPLli1x6dIlNGjQAC1btjQ47k4UMjSFNZw8v1DOOWVpqVSXLW56WMAZmCf9DD9J+0JsoucEyEVbu/AuoSL7CurxE0ox2nmHdKMp/ZEMQLe447TOVXTaWkO3WqXy/FBQRhHKw85NwzOzUoDyHjWFRMZh3sGH+Ka1fmHSRgtOYMvwhmhSXp5AvvHiC502ZZm3Osv+0aM2X5iG9MyBxzIoW9xYmDqD47I6GMQ/htbsDb3Oacvll8gQy9CorC8CvFxw91WKUV3Ftaef4/v2lcGyDCZuv42rMR8Mts0LPXlnMYT/H3ryzgLiLwGh+eH4lmKWc4qMjETVqvIb+eTJkw5RMqMwo5xzUpYmV2KJuGRRxxzHBOSqawRBMxpNwGMh1RNCzYMMPEb+zp6t1nNtXSXAoR6SGYooQg+YF41l7i0ZnZCBcv6mX4KuRCdhw4UYo5P8vxx/onJO+kqOBzGaE+mTJF/iKFdfp10Jr8IRDGEpi3vXxITtt/WuO87VxSAcQ1veDUyTcjpzcCcexeGEQtXE3J74xeeJqBvqg/epti//zocUiwVrVKMOW2StMNKOjkn+m2bQokUL1d8tW7a0ly1Og7IUuXZ9H+qcLOeN0jlpPQhPPorTG10mQu7ksXrYuiPUEFInXREs48aY55zMGdYDgFaLT5tV1kQZjv7oneFAE081x6WvzlQpJnfi/nPx9zjD6c+BdITigvagZ91gg87pMlcFqcQV/kwKurCXsJ9rorcdALN74QN+Mx25ZynKdI6hvMMqxwQAq6QfI+8FYIxjcbReq1at8OjRI73roqKi0KqVbn0WiiaqnpPWnFNKlnNWxtQORLCEN0SuDl6CSQKjFXr+8YrzOu2Fas5JvXfm5mAPyExFsIy5PSfWxnnc2YrCescfGtYk5NSCMLZd0w3cUGro/SVta9AxjTUwbFjUEUOAjbJ2AIDePP3zSIZgwGGxYBVWCJabXWWZAYdNgnm4KvpKb5CNLgQfsxfwzGUgnrkMxGT+P6o1/cTTkAr7T0FYfEmfOnXKoHZeWloaTp+27EQ7I0p1gkytaD1zqpwWRfIyIf4ePpARBiJGiuJGwsmVKHtOEsIDp3b5uwkdK1pM2XMSMRKj9X+UUXkSqWaknA9SEcHehAjWVVvlzJDcPB0Vj/HbbqnyYjQhGMnfD0AuN2UI9QTsokgJLxdEhMnTFQI8RVg1oI5qnXLOsznvLgJg/hxRD/YcevLOoQvvEgbz9Cdqa1OXiUIz3n34MylYIViOBsxDbBPOxk/8NVgiWIUerDzQzRvpOCkcjxiXAVguXKHanlUMhV/nKqpy9eyNTe/It2/fWqTp5Kx4MvJJbu38FsskeIsOLgIevFz4KuFMS5CCj/fwQRCSEMQkIJ4UM9reQ3Huc7TmtIwVxysIMtVkldyRjRQDb6pSjgOP5SFDrHnuVguXoRH7EOuknTFfOsDi3zfnWuQIsOvGa73lxqsyuQESd7myBvcRm2RewEdh5fzkVmAAXHvxAWX83ODvKULzSv44ExWPG1xFpBFXeDJZGMA/gaVSXTFtfXTgXVX9PZK/H+tlXQy27c6eQ3feeVRmc4uhhrGvsE00BwDQgH0MAOjBO4f92U2wTrgE5VjdxG8lfcXTYToD0TaY5Zz27t2LvXv3qr7PmTMH/v6ayYtZWVk4deoUateubVsLiyCekIf0phFN56QvN8VZCPRyQWq2cRkiQ8SSAAQxSajKvsBtmTwEWz2HRp1aCpHZKK23eZGDzTmpl/b+n2A9RkrG6W0nlRGI+MD9N5q9l0asPEqxJ++MXucU8fMpfNWyPProUcMGLLsW9c131WRzw8rVJZl0tnWsdwKbo5xHblDWV7VMqRaeCReslHbDZME/GMvfhdLMe0yUjITMSNmYruwFtOXlChL7MWloyt7Fea6GTltfpOIX4SqzbX3i8rnG92XST/C7tBPuuAwHAPwpbW9QycQemPVLDx48wPbt2wHIk29PnjypofgMACKRCDVq1MCyZctsb2URw1NRLkG75yQwUzyyKJKXYz8tC0dD9hHas9ewVdYagH7HBACNefIaUNo5TlVL6pcxspawQE88fp8GPstAmseXjg68q4CB6UipjOiVK1LiBd3cpvi0HEQnZGDO/gcGnVOint6QIU5o1cpiwGGB4HcAuhGp2jjacGp+EOCZ2ys+ztXBOLIDIkaKT3jn8be0LW4Qw/mOv6oNtT3hSqEi+xr9eCf1OqdOPM0AiTTiir9k7TCGvxcZRISvJV9jqWAVvPWUbymTvRnKHlLl7D9Rn32cb8N5Ssx6IkyZMgVpaWlIS0sDIQSRkZGq78pPQkICIiMjER6um6VP0cRLkbuSplUyoHc9w2PzRR1Tum3G+E8RntyEvQcvGE5a9ccH9OLJx9bPcZoirYE2DmdWztmsVJtjsJR/pS1Vf7sZCIyQcBxaL9ac53VBbiixgJHpqLb3XiOPukrLkertIck4gv8d0R/0ZA61mVxh4yUmhqp61XW+a356l9wXo6ckGC1ylkKqqPtagX1tcLtJakEJP0iGqBT8KzOxetsrAx+2SCNQLft31M5Zi5+lfRGWvQF1ctbiJFcHdXPWoFz2JrTK+Vm13U+SPlAfusuGCGe58HztNQFWBERwHIcGDRrYw5YigRfSYfi9XR4tJmLkr8Fpatp6Xi58p+45jWhhWtHZEM9IKURxpSBkZGjJ6g/dBYBhfHm9HY4wuMhV01hXK6SY1b+vD6VzalDG10RLw0yRfqH6WztUXok+pegGrKZj0U6GjVFTilgZqVmV9f6bFAw0Q0zUGMo5kQdcKNbLDIetN63gVyjKZNiaYm6avcl38FNF7i0SrEdT9q7ONgw4fMGTX79RXClskrXFU04uRRXKvNcJmnFBDgbxjwEAkuCFDLiqnEsOhMhRRApLwQcHFs9JEDrnzMNCyadYLfvYhkdrPc77NLQDjdn7uOPyJSbytxls8xVvHwAgmbgjXW1Yz5pggKLEN63yFlJ8XJFl34anv0AgAPgpovnOcdU1IvUA42rj1qB8PVHWh7IGDixecHKB0XDmud42E/Xk0VRgNAVe1YMTtFlyLApH7r3F2xR5b77z8nO48CzRYHvTEHzJPwgA+FvWBsYmz1f111VGcBaGNC2j8f0ByRWQ3ixcgAaMprJJMBOveqntJZ4JAHgHH2QQEQSMDKUZ5dAqwWT+FjxyGaLadpfsI7Nsuk/KYo3sY517o6CwyopNmzahXr16cHd3B4/H0/k4KzP5GwEAY/h7DdYias27AQA4LGvgMBeBI5DXBOTjMvnw2ce8i+jG6pd5Kc6kAAAOc5o9f097iI4qvJO5RegMobR5iXCN0ZBydQIZTbWMCqxxNfKRm25g0B9XrDNQi2pMjOrvKM74kJ23m3kqIEWRmV01e+77ZY0xX5Jb1WEQ/z+N9WGKIbq7XBlVjhEBi+dErv/YhJWX3OjAXsVI/gHVdqdl4XiuKMxZ2LD4ztm3bx+GDBmC2rVrIysrC0OGDEG/fv3g7u6OihUrYsaMGfaws1DAqA3n/SOco7eNv+Jhs1WmmayclzfsokBehzRvkQrgiNzBfcE/pLdNFUU47QuSK6jp5y7E3dnt8/Tb+lDPE3o+v5PV+3FncueP/MzI4wKAkgrnlKKIBg2E6UKDSRkSpJkovWAOyodkNhHgupGJfR8ndkxKhjbNDbHPgRDrZF3xg0Te4wnWGsYtofg/fa1V4iWOyCtJK6MzVwk0A9JGS76xrdH5iMVPhIULF2L8+PFYs2YNAGDUqFHYtGkToqKiIJPJEBKiP/rHGfBWU5Cuz0ZBd+6JwA9y55RANFURwgJtGy1W2Mhrz4kDqxru8GP0P8SVIfyv1G5weylDTOlURaVybqhwoaUUN3Bc2iiHAJXq3+FstMltEtJzMHKT4SFRc2DBYZpgCwBgnawzjA3pbf6iUZ5+qyjQvFJxnWU3OPnwdk32OVqz18GHFCw4jOfLo6XfKZyRkjuKmmaeyIQ7slTJsgAwS/K5xtRBYcNi5/T48WO0adNGNUYvlcqHGkqUKIEffvgBS5Yssa2Fejh58iSGDh2KypUrw93dHaVKlUK3bt1w/Xrebq68UArxKMFoZnn35Z3S+O6NDAgZ+XBfIjQngouqvlh+Egf5jeuHNOh7MVDW0cpSU+bI67CbIdpXK4Hj41uYbmiCtyQ3oOKgaCrKMcaH6BhwKKV4694jawoACGYMSxCpo17EzhrUIyX3ywxrxQEwodrtHPi664bZq784/S5cjPH8HVjA/w2+jDxdQDsH6jYpD0D+QhakpmVYLnsTNsg62MNsAMDN6W3ttm8lFt+ZMpkMQqEQLMvC3d0d797lZhOXLl0az5/rn7i1JatXr0ZMTAzGjh2LQ4cOYdmyZYiLi0OjRo1w8qTxkt324rzLWJ1l/xOsh/pDsh1PXtQrkXiqomWUiPjUOeWVRCLvfYoYCdy1Qq9dIFa9VWaqCe46unzOLIlmYuSXvAMGWsoJxAcIGBmkhFW9VXsxWfDQk+9kDfLep/5oVGX+XgYRGZUsAhz/vOcHPm66zikVmk57FH8f+vJPqb5r95wSiPwltziTgnoKtYfnXAm7zmcf+uYj+OhxrLbG4iMoW7Ys3ryRv73VrFkTW7duVa3bsWMHSpa0vECbpaxcuRInT57EV199hRYtWqBXr144duwY/Pz8MH/+fLv/vjYR7E3V32dl1fGNeIzqe4zLAFRm5HMdwxShoO+IbngxrUIix1RwwtVpbQyqamfBRTXP0p93QmNdR1Y+4Z9NBBp1tKLeW6dKkV/8xzXALlkz1fdArd65NsrghxckEKlwV52P5uydPNuyiL8Wd12+wEbBQr3rlSMFKTDdK6IK/ICfh/4H/Ajxt3qX3+LK42+ZZo9FOT3gh1QEKOqU+TJpNrNRH/k1ymOxc2rdujWOHz8OABg7diz+/fdfVKhQAVWrVsWaNWswcqS9hdSBgIAAnWUeHh6oWrUqYmP1J6TZk16sPAkynnhhkGQy9nFNsFPtgXJENBkAQRlG3stcrKfCq7Pq6mkzsmV5o+uFJobhdihKgH/JP6hSKW/EPsBS4WoAwHpZ50IXJZlKzJ83qMDIkzifEnkOjFJ5vZyewn+WQdCFdwmAXKhUX5DFcJ48EOUaF2Zyb7QmnFwdw13Pg/4/rgHKZm/S+H9fJ+2M7uI5OmV2khTTAwJGhuGKEP4tCpUUeyHMJx1Ki39l3rx5WLp0KQCgd+/e2LFjB2rWrImqVavi999/x6RJk2xupDmkpKTgxo0bqFatmtF2OTk5SE1N1fjkhRIfrqMjT/5WPlw8UfXgmyD5SqPdMN4huDASSAgPZziqoqGPmIWdMTrCsA4bAHi56vasAjxF4CvexH9WOH5/JgUR7C2cE32Df4RzVW03SDUj8ya0NRxR5iio90RMPdJ7KhQwnirCh/+UyucdyrF5c05+SIWbWuRgI/aBxvqKzCtVHs7/JJ/m6beciQyx/pQTAlYj90k5f6iNGAJ8IPLAGw9F7a+XRPfl3Zbw86nXa7FzEolE8PLKnczv0aMHdu7ciR07dmDw4MG2tM0iRo8ejYyMDEybNs1ouwULFsDb21v1yWt0Yf0nS1V/3yHqKgeMRvd8umAzAOADPPXKgHzbxjnr2uhDXwmNi1Na4dn8Tqo37lldq2JUy/KIWdgZXzYvp9Kvy4ILDsgaAgD+EP6sEZL7mXgKEqEZJVmrdDE7HYUmkRNbWr3tdS7XgRZj9A9DlmPe4JRwHGqwMQCgUg94psiDMRVIYQhXZGOJYBV+Ey7WWD5cK1z/Y0Uhuv9k9fAamuHOFOt4yJXO/ZuUNtjumtr18YF4YLfaqI2tGdemks2lvgxR4OMbp06dAsMwZn1u3bqldx/Tp0/H5s2bsXTpUtStazzrfMqUKUhJSVF9bDUMuEjSV2e46D+uAR5yms5vmbSHzrbdagWheh4K7hU16pfxxZ7RTdFbTXetpLerxjzF4KZl8V2HygCAuqGak8Q3OM3e0BZpK4Rlb8A5PeKYzSrohvPaA33RafXU7DZWifcsVwM3OXmPsiSjP6JuIO8YyrDvVd+PKsLIlcN7lZlYq2o7LRT8hh68c6jNymWOlNdzdTYGndhLqnbtWHmwz1FZPZP7rBbkfJJFhqhXxsfguvXSzvhPVg/fiMfolHFXZ620C25z5XCXK4PRkm90gq1shY+bAGPz8SXarMxPS6rbMgyDEydOmG6oICwsDOvXrzerbenSum8Ps2fPxty5czFv3jyMGTNGz1aaiEQiiEQik+3MhcfJb3jNXlMuEq1TzOkZmOHR8XcdaoUUQ62QYuhZNxhJJhSyS/tqzslkao3LX+Yq671hI8L8C3TuI6JyAK69kAc49K0fgg0XYvS2I2AxTDwRN1xGIpBJhhASjSq+QO5c0wlZbYyRfI0sRT2oZyQIb4gvgpgk9OSdNXs+gg8pOLAqxQcpYTFJMgL7ucbYLvwRtdmnGMg7jkNcI3ggE2GsXMHgtIGKt0r6NSiNBT10XxKclR0jm6DM5IN6171BcYyQjDe5j2ukMrqJ55psZw2jWpbHqlPy8icnJ7S0y28YwiznxHGcxk38+PFjvHv3DqGhoShRogTevXuHFy9eoGTJkggLMz0Zqk7JkiXxxRdfmG6oh9mzZ2PWrFmYNWsWpk6datU+8gqfk4/zZhP9Ge9SI7VZlNgqSbMo0qicn8k2fh4i+LoLVU5MGUKtRF85AQDIkhRs5WH1yfCwEsaTsJPgiQwigjuTg2pMDG4S9TdYgkoK57BS2k3lmOQwOCWrif78SMwX/I5DsgZIhvHfYsGpHJCSejmrVdutlnbFOuFSVGVj4IpsrBHIh7ZfkeJIgOERgP4NS+P79pWN/jbFMYhe0AlbrrzEJ7VLqZxTfoSPq2PWsN6pU6cQGRmJyMhIfP/99+DxeDh//jyio6Nx8eJFREdH49y5c2BZFhMnTrS3zQDkBQ9nzZqFH374ATNnzsyX39SBEAgl8rDNbANdae2ekz5ozynvqPeuHpAy+EEyBH9J26KfeJrBB2ZBFnfs1yAELcLkE9cCHqMqRlcrpBjaVwvUswWjKg2yWzQTKwTLUApyRfKO7BUEMsmQEs1JdCV/yDqq/r4kGoPp/L/Rj3cCNZjnqojG3F/hcEo4TsMxRXGlNBzaCa4OMogI3kwmHroMRTOeXLJov0x3rhAAyvm745e+tTCve3Wn1tMzxN/DHK/KA8MwGNAwFG5CPrxdC+b/zOI5px9++AGzZs1C48aaF2KTJk0wc+ZMkwEJtmDx4sWYMWMGOnTogM6dO+PSpUsan3zj8WG4SuTDMobGeWXE9CmmPSfbs0nWFjOlQ3RKY6ijLb5pb9SDIhb0CEfZ4u5Y2rcm7sxsj1BfN3SvFYQV/WtjcscqerdfK+2i0g/swruMdcIlAAgG8Y8CkM8vaYcay5cHY61UnhvmwkgwjH8YCwS/Y7/oBwzhaQqMdmMvoDSrWYZjj9YEuww8neG7a1wl/E+qP0pvZtdq6F67FA0fN8BHFf3x+yDTc3W25um8jnqX/9pPs5r5n0Pq48vm1pe0sRaL1Ubv379vMMKtdOnSePTI+iJl5rJ//34AwJEjR3DkyBGd9SS/kob4uQ+CbFg/rOfEZZwKlPwOQilb3B2XprRGek6uwOontXODPn75VP5QIIRg9sfVsOfWa9x8maxa/5iURpOc5ejEu4IZgr9RjX2BBswjlejnDMlgg7+9UNoPD7hQ9OSdhRh8tOHJE8cj2JsaPauPeLnJut1zfoQIElwmus5yqmQYOvFylczluob6nU+LSjR6zxStqwRidER5rIx8ZrqxgnL+7ngeb7i4pin4PBbLPq2F6IQMVCnphRF/X8fCHjXQtaaminmd0j6oU9pw4Ia9sPixGBgYiJ07d+pdt337dgQG6huSsC2nTp0CIcTgJ98Q5BYLzDZQjlp7WI/QgAi78FHF/Im6yyslvF1QIcD4nA/DMBjUpIyGarWSd/DDH7KOuMzJ5262iXLV728Qw5FUBCz2cs3wuWQKvpBMQoccucrDR7x7iBINRB9eJHrzTqlKM0yRDMMtUkGvYwKAZHjiR4m8EutA8WSYzsCimGJQkzIo4+eGOd2rm24MYNdXTbAwj8El3WqVwrdtKqFd1UAs+7SWQ1UmtrjnNGrUKEyePBlJSUno37+/KiBi8+bN2L17NxYsWGAPOx0TJrdXZGhYT7vnxOjRJQv0zp+8gaLMhiENEPHzKbxMMk9DrrEZgRYFjZeRsf4dsuZoqFXx1pIy2lEkGBxhwDIEQkaGRQLNiNlHnOG8GiV/yDpq9LooeSPA0wWnJkXgSrTpEif/fdscxdyEqBZkuvfvJuQhUy3Z9/n8TpBwWnONDINutUpZbrQdsdg5fffdd8jMzMSiRYuwa9cuAPJhCBcXF0ybNg3fffedzY0sDOQYHNYz3Tn98qP8H88tavBYBsE+rmY7p8FalUgdEWMT0dtlLfGSC8Ro/h40YB+pyoWYCwcWoyXfYKlgFVyY3GHGE7LaeEqCcIsYl5EylzZV7D+SUtQwp4yLUinFnDpw/+sZjq+3yodxg31cwbIMRKzjC01bVeFu1qxZGDduHC5evIjExET4+fmhUaNGKFasmI3NKzwYck7aE9TPON2qlPYq2+BsWJK5bizp1VEw9eC5TKrgskT/sJs5HOYa4nBOQ3Rnz6EW+xT/cfWNBpBYw28FMNFf2FEW3qwX6qPKg/umdUUsP/FE1UaZkF6muLtOz0ibrjWDUCfUByyjXwndUbG6/Kq3tzc6dLBfvZBCQaD8Rk4iHjA05n6Jq4KevLMAgHjijSsGxvApeae4AZVnfRSG+lnuwrxVR/65d01M3H7bZLs9XDPs4ewneUOxDH9P+Qtt26qBKuf0+J2mBqiAzX2hNeaYlJQq5mqyjaNh9dWfkpKCqKgoZGVl6axr3rx5nowqNIg8sLHlWcz/z3CEzWM1+aJRYt2aTxTbobypzcFeFXBtiZsobzYWdM2kJX2Mq0VQ9OPrLsStGW3hJuRjwWH5vKKMAxb1Csd3O+TRlDwz/2/r5JN2pD2w2DlJpVKMHDkSGzduhEym32MbWl4UkfA9ITaiZRVDAiEmPLAgKqVodaZ2ohnztsIS5+Rhom6UI+CWx6HHYB9XfN+hMv53xP7pHfroUcdxIr8KG8W0ht9cBCz61AvBzuuvcDk6SaPnxGMZgwnlaz4zrjXqyFg82bF06VLs378ff/zxBwghWLFiBdauXYt69eqhYsWKOHz4sD3sLLSkwgMdxQvRQbwQH6AreKkvXJhiHf4e5s85ueVxyCw/yOtcZN1QX4zI5+RJlpGL6f73rZOMnuQTM7pUBQBUCJCXx1DzTcbnTwtxhL/FV//ff/+NadOmoV+/fgCAhg0b4osvvsDly5cRGhqKyMhImxtZ2HlGSuGpgbLVNBjCdhT3NH/OyZwoJ0cgaq51odrKnmF+q49wBPi6VQWTWoEU8/iug1yrNEAR7DO9S1XsGtUEIn6uQ/LVo3m3on9trB5QBwGehTdNxeIn4/Pnz1GzZk2wCtednZ2tWjdy5Ehs3rzZdtZRKBZg7o14eOxHcCkE0XqAvOrohiH1Ld4uPUdqB2vMo6y/6TLtFPMY1bICYhZ2Vn13EfB01Bq+bqVZoDNqbkd0CQ9Cxxol88VGe2Gxc3J3d4dYLAbDMPD19cWLFy9U61xdXZGYqL/eDIVib4qZKVBZxq9wPTxbhgVgYCNdQVdz2TSsoQ2tMU1hflsvjPSulxt01aZKQL6VUbc3Fo9tVK5cGdHR0QDkYq9LlizBRx99BKFQiEWLFllcMoNCsRUsy6B7rSDsuWW46mvLSv6FIoxcm/Bg83QAGQYgBBqFGZvlo7TTb5/TvKaC4MDXzfA0Lh0da5QoaFNshsUutm/fvoiKigIgr6f06NEjhIaGomTJkrhw4QLmzrVP0auiyOSONFLP1vzyaW2UNzKsVFjn+KRmlvdQSktqh5FrD/3khZ5GovDaVKWKEAVB9VLe6F67lMZcVGHHKm09JbVr18aDBw+wZ88eMAyDtm3b0p6TmbSvFoiRLWwjEUPRxNgNyi+k5UnEUs50IzW0lQDGt62EU4/jcfd1ilW//3njUGy8KB/CX9ynJo4/fI+ULImJrSgU67HIOWVnZ+PHH39Ez549UbeuPH4+JCQEX3/9tV2MK8pUCqTRTPbC3UDyKsOYn7zoaLgIzO/x/a9nDTQsqylsyzBMnpJy21UtgR86V1VVD3YRsEjRyr/v10B/KR0KxRosGuNwcXHB0qVLkZFhfQ0RipyCrMJa1CnuIYK+KiSEFN6eU8caJdGqcoDJdju/aoy+9UujTHHdoU1zhwaVqA+PersKIOSzKjHa96k5Ou2/bmW4ZAeFYikWD8BXqVJFFRBBsZ5+DUyXJKBYh6+70GCNrMIg+KoPLxcB/hhcH6Z8a1gJ3URvJTO7yhM594xuCi8z8rwOjf1IVXgu0Nu0+kZRiRKjOAYWX03Tp0/H3Llz8eyZ+RUbKbqE+LoVtAlFFlcBz2DPtGqQ4Yd3YeD4+BYG14UFesLdSCRi3VBfxCzsjFohxXBsfAt80cywOom/pwgiPg+zP66GWV2rwt9D0zl91lD35UpEnRPFhlgcEPHnn38iMzMTVapUQXh4OEqWLAlG7S2VYRjs3bvXpkZSKJYQk5ipp6SjHD938/X3HJFy/h7YPaoJLjxLxNrTz5CanZtsu3t0E4170RiBXi74oUtVtK4SiH7rL+ms3z6iMQB5L3SwHomtuZ/UwPh2Yagz55hqWWHtlVIcE4ud0507dyAUClGqVCkkJibqJN2ae3M4M38Pa1DQJhRpkjPFBtd5FBLZImPULu2D2qV90KdeCOrPOw4AGioCltC4vB9iFnZG68Wn8CxePpfsJuTpnbPSxtddiJiFnVFm8kEAhTdMn+KYWHynxsTE2MEM56KEBUXxKJYjI7r9ptER5bEy8lmh0dQzB6UKezkzHIkptgxvhNfJWeix6oJGAq+5dCpCyZ8Ux6Do3KmFiHL+HgVtQpFG33zTiBbl4SrgoVZwsfw3yI7cnN4WnB5nbCmBXi6qSsICC3tA92a3hwudb6LYGIud08uXLw2uY1kW3t7e8PR0rhwe9WfhJ7VLYffN10bbW/NmSjGfAQ1L486ru6rvPWqXgpeLAGOKYKizjx5F6rwwOqI82lW1rBdUGGpjUQofFl9VZcqUMTmvVLFiRUyZMgWDBg2y2jBL+O233zB8+HC4u7sjPT09X37TEIF0yK7A6Vu/NBqXK47mP8nLtxSFeab8YlJ7KqlFcQwsvmvXrVuH+fPnw83NDX369EFgYCDevn2L7du3IysrC1999RWOHTuGoUOHQigUquo+2YvXr19j4sSJCAoKQkqKddIstsRVwMPVaW1UE9WUgqG0X26ovpBO1FMohQ6rhvWqVauGffv2afSgZs6cia5duyIpKQlHjx5Fz549sXTpUrs7p5EjR6J58+bw9fXFjh077Ppb+kjP1q2bY0m5cIr9ye+CexQKJe9Y/Er5559/YuTIkTpDewzDYMSIEdi4cSMAYMCAAXjw4IFtrDTApk2bcPr0aaxatcquv2OMl0mZGt+Vp+Xn3jWp1piDQKWiKJTCh8XOKSEhAVlZWXrXZWdn48OHDwAAPz8/EBtEERkiLi4O3377LRYuXIjgYMMS/vZGyulXi+5VNxjj2lTSWd6miml9NIptWNQrHACViqJQCiMWD+vVqlUL8+fPR+vWreHjk1suOCkpCfPmzUOtWrUAALGxsShRwn65D6NGjUJYWBi++uori7bLyclBTk6uaGVqamqe7JDKNB2wen9SX1JiMTfbRldRDNOnXgj61KO9VwqlMGKxc/rpp5/Qrl07hIaGolWrVggMDMT79+9x8uRJSKVSHD8uDwS4efMmunbtanJ/p06dQkREhFm/ffPmTdSqVQs7d+7E/v37cfPmTYsVKRYsWIDZs2dbtI0xDPWcAOiIdE5oWwmDm5ax2W9TKBRKUcVi59SsWTNcunQJc+fOxZkzZ5CYmAg/Pz907NgR06ZNQ3i4fChl8eLFZu0vLCwM69evN6tt6dKlkZ6ejtGjR+Prr79GUFAQkpOTAQBisVyyJjk5GQKBAO7u+rPmp0yZgvHjx6u+p6amIiTE+rdr7Z6TOtrJjL3qBcPTRWD1b1EoFIqzwBB7TgzZgZiYGJQta1hNGQC6deuGPXv2mLW/1NRUeHt7IyUlBV5elitWD/rjCk5Hxau+L+oVrjGU9OR9GtouPQMAeD6/E40co1AoTo25z9w8ZSc+fvwYCQkJqFWrlsGeiq0pUaIEIiMjdZYvXLgQp0+fxuHDh1G8ePF8sQXQHNb758tGaFjWV2N9xUBPPJnXEWnZUuqYKBQKxUysck4bN27E1KlT8fbtWwDA1atXUadOHfTp0wdt27bF8OHDbWqkOi4uLmjZsqXO8g0bNoDH4+ldZ0/Uh/UalfPT20bAY+FrY5kZCoVCKcpYHEq+fft2DB48GHXq1MGKFSs0wsXr1KmDbdu22dRAR4fm0FAoFIrtsdg5LViwAEOGDMG+ffvw5ZdfaqyrUqWK3RNvDbFhw4YC0dWTKpzT7lFN8v23KRQKpahisXN6+PAhPv30U73rfH19dYoPFnWUc06Fvfw3hUKhOBIWOyc3NzeDAquvX7/WSMx1BpRzTnyWiotSKBSKrbD4idq0aVOduSYlGzZsyPeAhIJGOedEazRRKBSK7bA4Wm/GjBlo1qwZGjRogP79+4NhGOzatQszZ87EmTNncOXKFXvY6bDQgAgKhUKxPRb3nOrVq4fDhw8jPT0dEyZMACEE8+fPR1RUFA4dOoTq1avbw06HRUqdE4VCodgcq/KcIiIi8PDhQzx79gzv379H8eLFUamSrgK3MzA6ojym771f0GZQKBRKkaLQyRfZmrzKF1EoFArFfOwiXxQfH4+1a9fizJkzePPmDQAgKCgIERER+PLLL+Hnp18hgUKhUCgUSzC753TixAn07NkTqamp4PF4KF68OAghSExMhEwmg4+PD3bv3o3mzZvb22abQntOFAqFkn+Y+8w1KyAiPj4effv2hbe3N7Zt24aUlBS8ffsW7969Q0pKCv755x+4u7ujV69eTpeES6FQKBTbY5Zz+v333yGTyXD+/Hn06tULbm5uqnVubm7o06cPzp07B4lEgt9//91uxlIoFArFOTDLOR09ehRDhw5FcHCwwTalS5fGkCFDcOTIEZsZR6FQKBTnxCzn9PDhQzRr1sxku48++ggPHz7Ms1EUCoVCcW7MitZLTk5GQECAyXYBAQGqsumFBWU8SGpqagFbQqFQKEUf5bPWVCyeWc4pJycHAoHAZDs+nw+xWGzOLh2GtLQ0AEBISIiJlhQKhUKxFWlpafD29ja43uw8p8ePH4PPN9780aNH5lvmIAQFBSE2Nhaenp5gGPPFW1NTUxESEoLY2FinDUF39nNAj9+5jx+g58Ca4yeEIC0tDUFBQUbbme2cBg8ebNaPWvKAdwRYljUa6GEKLy8vp7wo1XH2c0CP37mPH6DnwNLjN9ZjUmKWc/rzzz/N/lEKhUKhUPKKWc5p0KBB9raDQqFQKBQVtHyrlYhEIsycORMikaigTSkwnP0c0ON37uMH6Dmw5/E7vSo5hUKhUBwP2nOiUCgUisNBnROFQqFQHA7qnCgUCoXicFDnRKFQKBSHgzonCoVCoTgc1DlRKFqkpKQAAGQyWQFbUjC8ePECgGlhzqLMgwcP8ObNGwDOeR7+/fdf/PrrrwAAjuMKxAbqnBQ8e/YMhw8fxrVr15Cenl7Q5uQ7jx49wrp167Bt2zbcvn27wC7IguTly5do0qQJ+vbtCwDg8XgFbFH+cuPGDVSsWBHdu3eHRCIpdFJktuDmzZuIiIjA4MGDsXXrVnAc51Tn4fr162jSpAn69euHJUuWQCaTgWULyE0QJyctLY0MGjSIBAcHkzJlyhCGYUjjxo3J3r17CSGEcBxXwBbal7S0NDJw4EBSvHhxEhYWRhiGIUFBQWTVqlWEkKJ//OpMmjSJMAxDSpQoQf79919CCCFSqbSArbI/qamp5NNPPyUMw5ABAwaQ27dvF7RJ+Y5MJiMLFiwgnp6epF+/fmTnzp3kzp07BW1WvpGSkqK6BoYOHUoaN25MKleuTGJiYgrMJqd2TmfPniUNGjQgTZo0IQcOHCAXL14ke/fuJcWKFSPNmjUj7969K2gT7cqhQ4dIWFgYady4MTl06BB59OgRuXbtGqlQoQKpV68e+fDhQ0GbmC8oHfCECRNIaGgoqVWrFmnYsCHJysoihMgfXEWVdevWqV7Ijh8/TjIyMgrapALh4cOHpG7duuSXX34hycnJTvVSNmfOHCIQCEijRo3IkSNHiEwmIzNnziRCoZC8efOGEFIwL6lOO6yXkJCAX3/9Ff7+/li9ejU6d+6MRo0a4eOPP8aYMWNw8+ZNPH/+vKDNtBsfPnzA2bNnUadOHfz111/o2LEjwsLCULduXbRs2RIZGRkQCoUFbWa+oBy2efbsGcaOHYsePXrg7t27WLZsWQFbZl/evHmDPXv2gGEYrFq1Cq1atYKbmxsA5ym+SRTzSVu3bsWrV6/Qp08feHt7g2EY3L59G3fu3MGHDx8K2Er7sXv3bmzbtg0rVqzAf//9h/bt24NlWXh6ekIikeDMmTMAUCBDm07rnIoXLw4ej4cJEyYgPDwcQO4EeIsWLZCZmQkXF5eCNNGu+Pj4oH379pg9ezYqVqyoMembnZ2NAQMGAMidDC3Kc1DK/3exWIwPHz7gm2++QbVq1fDbb7/h+fPnYFm2SE6KBwUF4euvv4a3tzc2b94MhmHw+PFj9O3bF127dkXz5s2xZs0avHr1CkDRvAaUD92bN2+iQYMGKFmyJO7du4cWLVqgXbt2iIiIQIMGDbB169YCttQ+fPLJJzh16hS+/PJLeHl5qa7zJk2aAAAyMzMBFExQiFM4J+2bSvkw2rBhAyIiIlTLlRPgjx49goeHB4oVK5ZvNtoTQw+VFi1aoGLFigDkN2lWVhYGDRqEzZs3Y/PmzahevTrGjRsHAAU3KWojjD1YeTwexGIx4uLiULJkSXh7e2PQoEFITEzEzz//DADIyMiAVCrNL3NtjvbxKx82DRs2xMCBA7FixQr0798fNWvWREJCAkqWLImMjAyMGjUKw4YNA1C0rwFfX1/cvHkTsbGxGDlyJLy8vLB27VpMmzYN/v7+GDZsGPbu3VuoHbQh2319fVV/K521j48PfHx8cPPmzXyxTS/5PpCYz/z++++kSpUqqgluY/MHynVffPEFqVmzJklLS8sXG+2Jucf/9OlTUqlSJRIeHk7WrVtHtm/fToYOHUoYhiETJkwwuq2jY+ocKIMemjVrRubNm0cIISQzM5N0796dBAYGkkGDBpEGDRqQU6dO5a/hNsLU8V+6dImEh4eTSpUqkV27dpHU1FRVmzFjxhCWZcmKFSv0bltYMHUOJkyYQDw8PEjHjh1JvXr1yMuXL1Xr7t+/T2rUqEHatGlDUlJS8tVuW2HJc5AQQt6/f0/8/f1JmzZtSHp6en6YqEORdU6xsbFk+PDhhM/nE4ZhSOfOnVWTvYYm9yQSCeE4jlSqVIkMHTo0P821OdYc/8mTJzUeTAkJCaRv377E1dW1UN6UlpwDiURCSpUqRbZv365aNnXqVCIUCgmfzyeLFy8m6enphWqi3NzjT09PJ3/99RfZunUryc7O1tjHw4cPSdmyZUmrVq1ITk5OvtpvC0ydA+W1fvv2bcIwDBEKhWTEiBEa+xCLxWTRokWEYRjy9OnTfD+GvGDNc0B5Tjp06EDq169vtK09Kdz9dAPk5ORg8eLFOHDgAKZMmYLPP/8c58+fxx9//GF0Oz6fj6ioKMTExKBjx46q5VlZWbh37x6AwpGQZ+nxK48pIiICnp6equEbPz8/lCxZEl5eXoiPj883+22BJeeAEIKsrCz4+/vD3d0dDx48QEREBBYtWoTy5cvDzc0Nfn5+cHd3LxT//4Blx+/u7o6ePXvi008/VdXlUR5n5cqVERAQAB6PV+gCZMw5B8r5xPDwcAwfPhwSiUSVhKwcxhUIBPDy8oKLi4sqMbcwYO1zkGVZiMVilC5dGrdv30ZsbGzB5HrluzvMJ2bNmkVmzZpFCCEkKSmJVKpUidSpU4dER0cTQgx3a9etW0d8fX3J48ePCSGEXL58mbRr1474+fkVqtBya45f/e1IJpOR6OhoUrduXdKzZ89COZxjyTl4+/Yt8fDwILVr1yZ8Pp+0atWKXL9+nVy5coVUrlyZlC5dmqSmphbEYViNNdeARCLR+H7+/Hni7u5Ovv/+e7vbaw/MOQfK8/DhwwcSGhpKGIYhO3bsUO0jPT2dDBkyhDRs2FCnZ+noWPscJISQ2bNnE5ZlyYkTJ/LDVB2KhHMSi8V6/1Zn8eLFxMvLi3z33Xd61yvnHXr37k1q165N7t27R0aPHk34fD5p3749efHihe0NtxG2OH51MjIyyMOHD8ngwYNJxYoVyfHjxwkhjp2Qm9dzIJPJyKeffkpq1KhBNm/erJHjNXXqVDJ06FCSlpbmsOfA1tdAZmYmuX//PunTpw8JDw8nDx8+tJmt9iIv50B5/+/du5eUL1+e+Pr6kvHjx5MNGzaQ4cOHEx8fH7JmzRpCiOPeB7a6BpTHd/bsWcKyLNm3bx8hJP/nGwu1c7pw4QLp2rUr6dq1Kxk4cCC5e/eu6j9FebEp3wTFYjFp2rQpKVeuHDl//rxGGyVZWVkkPDycBAUFEV9fX1K2bFly7NixfDwiy7D18UdHR5MlS5aQcePGkcDAQFK5cmVVW0clr+dAvafw6tUr8vLlS9VNqLxJDd3ojoCtr4Hnz5+TpUuXkokTJ5KAgABSrVo1cvny5Xw8IsuxxTlQdzjXr18nXbt2JSVKlCBly5YltWrVIidPnsznozIfW18DSg4cOEAYhiELFizIh6PQpVA6J47jyNy5c4m7uzsZMGAA+eyzz0ipUqVIQECAKtpKHeXJ37VrF/Hx8SH9+/fXu9/79+8ThmGIv78/WblypV2PIS/Y6/jPnz9P2rRpQ1q0aEHWrVtn12PIK/Y6B4UFex1/ZGQkqVGjBqlfv76qp+Co2PocqDsoiURC0tLSyL179+x7EHnAXteA8jxkZWVpBAjlN4XSOb19+5ZUr16dTJ8+XfWG8OHDB9KhQwfC5/PJwYMHCSH6u9+9e/cm/v7+qpOelJSkMZe0adMmh35TJsS+x//s2bNCMb9k63Pw/v37/DPeBtjzGrhz506h0BS05zXg7MfvCM+AQumcDh48SBiGIc+ePSOE5F5IV69eJQ0aNCBlypTRCX1Wdmtv375NSpUqRVq1akWOHz9O+vXrRwYMGEBiY2Pz9yDygD2O/9WrV/l7EHnEHudAqSNWGKDXAL0GivrxO7xz0pcIu2nTJuLi4kKOHj1KCNF8y9m0aRMRiUSqCBV9b0AjRowgDMMQhmFIQEAAOXDggJ2szzvOfvyE0HPg7MdPCD0Hznj8Duuc0tPTyfjx40mrVq1IREQEmTJlikrK//z584RhGPLzzz+rTrqyG/r27VvSs2dP4uXlpZNs9v79e7J582ZSoUIF4uHhQZYtW1YAR2Yezn78hNBz4OzHTwg9B858/A7pnP7++28SEBBAmjVrRsaPH086d+5MeDweqVevnirXpH79+qRRo0bk+fPnOtv/9ttvxNPTk/z+++8ay1evXk3c3NxI3759HVqayNmPnxB6Dpz9+Amh58DZj9+hnBPHcWT37t2kdu3aZObMmSQ+Pl410Td79mzi5uamKoK3detWwrIsWb58uSoxTtn2xYsXxN3dnSxfvpwQkvs2cf/+fVVyrSPi7MdPCD0Hzn78hNBz4OzHr8Th5IuOHTuGMmXKYOjQoShevDgEAgEAYMiQIcjOzlYp67Zv3x6dO3fG4sWLce7cOQBQtfXw8IBMJoNEIgGQq6ZctWpVVKpUKb8PySKc/fgBeg6c/fgBeg6c/fgBOJ580du3b/V2NZ8/f05cXFzIr7/+qlr26NEj4u3tTRo1akQuXrxICJG/Nfz666+kbNmyhU6kkRB6/ITQc+Dsx08IPQfOfvyEONiwnjrKLqjy3+PHjxOGYVRlC5QTgLt37yYVK1YkfD6fdOnShfTo0YO4urqSyZMnq1TGCyPOfvyE0HPg7MdPCD0Hznz8/ILuuRlC2QVV/nvp0iUEBwcjLCwMQG5hwO7du6NOnTpYt24dXr9+jbS0NBw7dgxNmzYtGMNthLMfP0DPgbMfP0DPgTMfP0NI4agB0KVLF0gkEvz333+qZRKJRDW+WtRx9uMH6Dlw9uMH6DlwpuN3uIAIfbx9+xaXLl3CRx99BAAQi8W4fPkyunfvXujqDFmDsx8/QM+Bsx8/QM+Bsx2/QzsnZafuxo0bSE1NRfPmzfH69WtMmDABrVq1wuvXr8EwTKEpAGcpzn78AD0Hzn78AD0Hznr8DjvnBEBVffHatWsoUaIEjh49ig0bNkAoFGLnzp3o0KFDAVtoX5z9+AF6Dpz9+AF6Dpz2+AsiCsMSJBIJad++PWEYhnh5eZFFixYVtEn5irMfPyH0HDj78RNCz4EzHr9D95wAgM/no1atWqhVqxZmz54NkUhU0CblK85+/AA9B85+/AA9B854/IUiWo/jOFUopTPi7McP0HPg7McP0HPgbMdfKJwThUKhUJwL53HDFAqFQik0UOdEoVAoFIeDOicKhUKhOBzUOVEoFArF4aDOiUKhUCgOB3VOFAqFQnE4qHOiUCgUisNBnROFQqFQHA7qnCgUCoXicFDnRKFQKBSH4//S7djOw5tHLAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -451,22 +451,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -481,22 +479,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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MwI4dOzwiMFDJyFPj0BUVOGIL1WUW6hosoFaOgIGtkrRyBGYLQUaeutEvntZggUZvhokjMFlM2H7qts8TNib1bY+vzuaBA3ApXwuJkIWpOvRHAIRJhcjI00AmFkCttyCn1JbMIxML3QplpqYrcexaMXLL9QiRCHFPtygsHN3FyYiFSoXILNShWGd0+m5cuAxqvRakWpuQZUBAIBUKcPByIUKlwjrvp0jAwGjhIBK4TkbaeiIbZ2+X4ZvzYqz9/QAAcDJgdV2nvUJNSctDdKgUN4sr0K1dCMxWAgIgr9wAodaE8koTBsbfPU9moc52EdUwABRBIlQYLbBYORzJLKrXg1dpDbBYOai0hjrutHvUVdnbw9m/3CwBIUB4sBihQSIYzRwELMAwQNeoYEiEAijVlSitNMHKERy6ouLD3+V6My4rNegXG8qXnYbCchP7RuPQFRV6d5A3OlSamq7EkcwiWKwcjl8vwdNjutS6j7vTclGgqYKZA8Bx+PaiEr/eKoFEJESVyYJwmRi5ZfpGG9aWJC2nHFmFtgaDVCTAyRsl0JutsFg5hEpF2H9ZhXv7RPtFeNMtg3X27FmsW7cOEokEFRW1W5QdO3ZEYWFhs8UFMqnpSmSXVCKvXA+GYVBWaUKsIqjeh92/Yxh+vVUGEAIBy6B7++BGV9rhMhF+vlYMAgJCbC+43uT7YQU9O4QiMkSM4goTCAALx4FlbRUoiC1sKmQZVJltlb3BbMWlfA1MFg6zkuPc+s2SChMMJg56kwk/ZRUBAMr1JuSVV8FgtsJgtoIjBJVGKxgAVkIgFQmQnBCOsT2jcOK6rdI0cwSKIBHUejNuFFXgP8ez0SNa7vJ5SIQChEqFyCnV47GPf6nVt3SzuAIlOiOKtAbM33oGA+LCMCg+vMHna69Qq8xWnL1dBnWVGXnlVdCbLDBbCDgAVguHPLUB/9yfiWuFWqybORDAXW8RsHknxTojuOqywRGDU2VfsyKalRzHe3aeJC2nHNdUFdAZTHyFDdg87WKdEdUOIXTGKvSMZhEsEUImFiBWEYToUCnulFWivNLEe+fn75TjnYNZ6Bkth0prQJhUhOwSvZOnptab6/TaZybHo0e0vElZh8U6I5TqKluZZYFV313G8eslTh7uoSsqiFgWwN3GWaHWBJYxgWUAKwcES4RITVf6xADU7EM+e7sMJRUmcByHCpMVIpZBO7kEQgELmZjF8j2/wWThcPByIZY90MdnRsstgyUSicBxdXeQ5+fnIyQkxG1RrYFrKh1yy6tgtRKIhQxKKoz45nwe0nPVTgXbkZcn9UJquhK/3iqFycKBZZhG9z/dLtWDAWCxAgLGFsaSiQXYnZbbqNBYS3UQh0qFCA0SQVNlgtlq0yVgGBgsHCzVNarZShAsYcBxgM5oAccRpOeqcT6nHDtP52DlQ/0b1VoGbK32ayodjl0rAQBoqizYf6kQYACLlYBlCKwcwDIMrITYKnAARosV11Q6PJgYi0v5WlQaLQiWCGC2crByBMUVJlg4gq0nsl2GyIZ3iUBmoQ4VBgvO31GjwmhxMlgRwWIQAGYOUFeZcSlfg57RcuhNlkZ50TqD2eYdWThUmawgsBkeFncNk8HMITWjAI8NT8C0gbH49VYpVBoDjBYrjFYCo5mzeY8EqDJz4Aips6LuES3Hd+lKvH/kBnLL9B4JCWXkqZGeq0ZeuR5qvRmlFSYs+eoiSiqM0ButvLECAAELGC0EI7pG4mKuGnKpCKezSyFgWXQIk6C00gxYrCitMOHs7XJIhALIpUIo1VUQsAyOXy/BzOR4aPQm7L2oRJXJArFQ4BTitFfa9vctItiMPw7v5KTXVXkr15tgsIfuOcBstOLbi0r8lFmECb3bY0yPKEhFAggFDO6aLBv28mZ3f6+pdPjTZ+eaPXylqaHwrSey8VNmEVjWFs1Qqg2ODjlMVoKyShOkIhYqrQEsbA24O2V6LN/zG+bf0xnfpSuRU6rHyK4R6Nkh1Cvel1tJFyNGjEBKSorLfZWVldi2bRvGjRvX5PNWVFRgxYoVmDJlCiIiIsAwDLZv397o76vVaixatAjt2rVDcHAwJkyYgPPnzzdZhycwWTiESoWQilhEhkigkImhVFfhf5cKsXzPb7U6M+0FbtrAWIzoGokOYVL07xjW6AIQHSqFSMhCJGD4/8eESXHoiqpRHfpN6SBuSoes1mBBWJAIAMN7Vu1DpYgNk0IkAB9+qzBYwLIMBAwgFbHQmzkYrQQZeRqs++Eq1u67gtR0Jd9aru/388qrwDpE5owWDgazzUCarICAZWDhbMZKwNg0ma1AodaI1HQlEiKDIBIwCBILIBUJHM5jrTNEFiYTI1QqgpkjsDq6NtX3q6zSBLGAdXjh7oY+7dezOy231nUduqJCbnkVMgt0qDJZYamu8AixVX41fgoh1a12AOjWLgTRYVJEyaVQBIkgqr7/DACOI/j5WjHO31HjslJTq2GUmq7E2dvlUKqrsOVEtkeSEuxhO8BmkPLVVbhZXAlNlQXm6nC4kLX9SYQsJEKbx927gxw6gxliAYvyShPK9Wa0l0tgsdrKjoCxVfwiAQuxkAXLMLiYq0ZGnppvRBRXmFBWaXR6fltPZOOzX3JwKV+L66oKXFNV4LpK56Q3q1CHTT/dcHomJgsHidA59EsAaAwWHLhciDd/uIpTN0sBMBAKGP6eMw7HcoRApTXgbHYZfsvX1Jk805R7q67ui7O/7/UllNwsroDGYEG53oL8GsbKTpWZQ7neAoOZg97MwWIlqDJzuKLUYtPRm7iYq0GhxoB9GQU4mlXcYCKPJ3DLYK1atQrnzp3D1KlT8b///Q8AkJ6eji1btiA5ORnFxcV4/fXXm3zekpISrF69GlevXsXAgQOb9F2O4zB16lR88cUXeP755/Gvf/0LRUVFGD9+PK5fv95kLc1lVnIcBsUrMKF3NB4e1BEDOobBbOX4glrTgDhmik0bGIvxvdpj2sDYRv/ewtFdMKFXe0SEiBEqFSJcJkaWqgJFOgPOZJc2mOXWUNKAI00xbskJ4fx1c5xtZpS48CAEiYUY3Cnc1j8BwEoAkYBFlckKtd4ClkG10WFwpUBry2zLUOL7DFuLOKtQ59IIp+WUo6TCCAHLQABb5Wf/DTvW6sldGDhX+IQA2iozkhMiECQWorTCBJGARbBEAJaxeTBGi9WloQyVClGmN1b3txBEBIv549JyyqGtMsPMEYQGCaEIEqF7+2AU64zIKtRW/1+H94/cqJXBFy4T4YZKB4OFg8lqM4bWaqPFMnevS8AAUiGLskpb3+WCbWdxtUALvcmKsCAhpCIB2ocFoVNEEMQCBky1B1OkM+JWSSVS05XIyFPzjZFrKh0IIfxvpqTlNfisGyI5IRzhMhEMZiu0VWY4jmJgAIQGCdGtXQgkQhZVJg7XVZU4fr0EUpEA0aFSqPUm6E1W6E1WFGoMCBLbGhMsw0DAMiitMEJvtECtN0FTZcbWE9mY2DcaHCGQiVgIGQbRoVL+uai0BpitNq+TA1BeacKK7y5jw6EsZOSpoVRXIae0EgqZ2KmRNCs5DtFhQYgMFqFml2WVmUNZpRnFOiMqDGbIpSLbM5cJeY8LBKg0WqHSGmG0cCjQGMAR0qysPHuWZe8OcmQVahEqFTollNRsZEYEi12eRyxgIBY4vy+8wa3eyBHgTlklqoxm27sNWwTAG7gVEhw+fDh++OEHPPvss5g7dy4A4OWXXwYAdOvWDT/88AMSExObfN6YmBgUFBSgQ4cOOHfuHIYOHdro76akpODUqVP473//i1mzZgEAZs+ejZ49e2LFihX44osvmqynOfSIllcnQZhwOrsUYiGLdnIpCtRV0FSZca1Q63S8Y6ZYfZ3w9aHSGhAqFUEsZBEiEaKs0oQslc0AFemMdSZ+2D2AKrO1zqSBmr9jsZJGdcgnxikwomskTBYrckr1sHIEl/K16N4+BJoqM+IUUhRqTQgLEiI6VIKSCqOttUeA/h1DodIaUF5pgtZggUTAoKzChGCxADqDxeWg0eSEcHRrF4zbJXrIpbZEDrOVg5FwNo+KBd/HxxFbpW+fnEzAAg8PisW0gbFIzVBCyDKQigRgGEBX3d91TVXhst9Ba7AgNiwIt0v1YBngaoEO6364imUP9EFyQjh2nLqNEIkAZguHsGARVFoj771JRQJcVmpQXGGE3mRx8nbK9WaIhSzMxrv9kQwAoYCBTMTCwhGwjM1jNFo43gCXVppgMFswpHMEekbLq8dj6SERsvj94I746lwuCjW2e11lsmLXmTvYnZaHzlEyyKVilFWaIBMLYeFsoVCx0L0RMI4zt5zOLsOdMj2KdUaYrc5tegZAkEgArcFs8xyrt6v1Jvx6qxSD4hUAwwKwgiNAfEQQDBaCsgojjFYOFiuHKjOHILEQBout8lRpDZiZHI/cMj32VIcFf75WjNPZpVg6qRdmJcfhTpke+WpbOeYA6I1WfHzsFm6X6iEVCVBhtCCntBJGixVHMi18SDGzUIe0nDIYzDoYzJxTONP+TxNHkBAZhOSECBTrjPgtXwNdlRkagxkW692Gh0TI4rfqcYjuDpy/rrKNG6wwWhATFoRDV1QIl4lwuzpkVzPrs2e0HBfvlENjqM7ABCCrLp8yiQjt5RJbnyJHUGGygAEgYBiYrbZ+U3N1cRQwtus1W7kmNbDdxe2Bw/feey+ysrJw8eJFXL9+HRzHoVu3bkhOTnZ72iaJRIIOHTq49d2UlBRER0djxowZ/LZ27dph9uzZ+Pzzz2E0GiGRSNw6tzvYPaasQh3EQgHyyvUICxJCpWUQLBLiQq6mVozcXlDd6U9KyymHsbpfaGzXSASLBfjkZDYMJitYlkGh1oAjmbYEBMdzZuSpse6Hq9BU2ca3SIQND/4e3iUC+y+rMLxLRKP0ThsYi1hFED45cQsqjREmixWaKjMGxSsglwqRW2Yb1Gow21rOxRUmCKtjenKpCCUVJhACGCy2sJHeZEWwlLgcNJoYp8C0gR2h1ptxJrsUZZUaVFVnmgkZgAMDhrElpgSLWJistsqmY7gUS+7vyc8QMqJLJFRaA6JDpTh7u4zP3qwwWvkhA459DskJ4VCqqyC+VYq88iqo9SbcLCZITVdi+dS+eOHe7vjP8WxUmWyp6RKRANdUOsSEBSFcJobOYIFUyEImFjq9+BP7RuN6UYUteQcMTFbbtQzoGIqVD/UHYAvffZ+hRFmFCUaHmtNsJQiXibF8al+ngcSVJitiwqQorTDBbCUQCRjojFYAVpTd0aC9XIw+MaHo1i4Ex68XQ1D9LNwZcGyfweRSvgYVBgtM1dmNtWBsemMVUoRKRcgpqYSFEIgELCKCxWgnl2BQfBgu5JQjPFiMsT1tEYgXvrwAdaURJTojZBIhqsxWBIlYsIwthLt23xUU64wQsgz0JqttnKKRQUpaHr5cNBJag62P88Idm7dushJYOILj14shl4ogEbIQB7PILq2EVm9GoaYKi3ddwJgeUcgt06O0wgy13gSjxQqTlTh57Ez1M1g+tS+Au+/J0awinL5VBpZwALF5ljKxEM5+TdPYfuo2rhXqwLK2/vKYsCBoqswICxLhw6M3YbQSsADUejMy8tT8O/n5rzm4XVIJlmXAcQRSsQBcdQMlSCyAwWyFIkiMsCAR8tV68C+C/RoZwGLhkFNaiesqXYv3YTV7potBgwZh0KBBHpDSPC5cuICkpCSniXkBYNiwYfj4449x7do1DBgwwGt67GOweneQo9JkRbhMhHZyCaJCJDh7uxyEcFjy1UUYLRxS0/PRXi7lO17dmaHCXmECNgOx6acbEAtYGFgOAgYwmKy4U1aJI5lFTl6W3dAFVXcSR4dKG0zUCJOJMblfB4TJRACAld9dwm/5WhBCIBGy6NVBzidKAOCN8Tfn86DRmxEiFeLpMV34FHPAlnml0howuFM4TtwohtlKoFQbkBAZZAtFOHhBEhGL9nJb48OVsbR7q/YZK0QCmyGXSwSoNNla6EEiAeRBQpjMHBQyEaJDpdAaLPz5EiKD0a76N7q3D4HBzEGtN8FKgLJKE94+mOWUMWi/xt1puXjrYBYMZufKx56NZu/kV2kNsFptXsDtkkoEiVgIWBbTB9mMld04zEyO5yvVayodIsViRIdKna43MU6BYLEAey4qYeVsfQ1FOiNYhnEK8eaW6VFUPfPFdVWFLdVdZgsXFmjupvjb+5k2PDoYa/ddwTWVDnnlVdhy/Baflt/YclmsMyKvvArG6pCmvc/JNmTA9n8GgCJYjKGdIzCmRxS0BguuFWpx6lYZIoNtg4ntZdY+Lq13B9u9f/He7nj/yA0UqKtQVmlCkFgARZAQVSYORToT0nLKUFZpBiEEAsZWfliW4T1Guzc7smsE/puWZ3suhKCs0ozSSjMEDKCpMqGs0syPadt7UYnj10vwxIhOiI+Q8d5TvrqKT8YAgLAgEbq1u5t8lhinwHWVDiYLB4VMiNIKMxRBQgSJhQgLEsJksfLjytyF4wjKK01Q682ICBZDZzDzjRgOtrL7zsEs7Fg4HIlxCoRKhdh09Cb0Jgs6RchQqDWic6QMJgsHbZUFCpkAceFBUGmNCJWKUFZp4n8rXCZClygZMgsrIBKwTRrL5i4emZrJHygoKMDYsWNrbY+JiQEAKJXKOg2W0WiE0Xj3hdVqtS6PawqDzizF71X7wdwEmNjByOsyC7Enl/NtqAPaUXjO8GcAtkIkEggwPTURSOUwH0CFpAOynzjd6N9L3N4HiRY9IJQhY+BVSEUCiIUsukYF28aDWK2wcIDRbOX7fuxZRckJ4VivWYJOxiyYrgogzrSCgwCne/8NePQV4B+dAUM5IA0H/nbbeUD02U+QUvQXMELAQhj0MO3EFaXurrFd3x/Q5AJh8VjVaT4Glf4fGCPApAIQyrBtwiksPTceYmKEERJMV6SgXYgUxRVGhEgE2FX0EERiK0ycAP0tn4FlGD6ceCSzCL/eKkW/WOepkxy91XO3y/BjZjG6RNleRo4Y+b6kpZNsmW8paXmoMFow+8cxkHE69BEr8Pm4o9CbLJCJhRjfqz1entQLy/f8hkv5tnFaJTqTc2jw4/GA8gLGyvtiZ9jbsFoJdlj+ht5nbwDX4gGdCgM4EwYAyJX2xlTTKggFLCr0ZjAAvrM8i45sCUp/jcZm096749B+mI75yguYb3/Qhuq/IgAXZMDfCwDYGhHTB3WE3mTBpXwNtpj+in64BZQCWCND2oRTUMjE/KDhiGAJ9uofh4KrhM4YghGiLbbKtrrv8JpKx7fE7V6SRm/LVOy2tT/A6fjyUB/t5BJbuM50N/QkFbEY0jkC4TKb5+QqTP3Yx7/AaLZiRNkPeLloC9izHBAWj5iYufh39nqIbhqA7BmYOesT9Dq5BL2ER2AiAsgYE4oM7TA76GOYrBzMVoItxr+im+U6MpnueFT8JiQC21jAyo1jkFiSAXut8DwY9GW+4A0TYOtbVWlNTl7hBfHTUFgqgZO2zyZGghX9D8N6q5Tvn3tf8gEmWI6DyQSwEsDUd4GhT/LjJcsqzQiWCHDQMh+KykpYdAyEDAGUQFWqBD9MS2tS5T//ns7Yfuo2bhbbwpcAgdnC4RfuCcgkJuiJGP1M20Fge7b293IGAD4mVVD9/8q759UiBDOwE0KWQWiQCKHVwzxCJAKEBokgl4oQEyaFTCzw+BAIV7g9NZO/UVVV5TLkJ5VK+f11sW7dOoSFhfF/8fHNbyV0KT4MFtVOvvICIs+8zX9mAEzmTiJN9DQ4Ygtd3CjSga2O3DMA5MZCJH7S+FkqiEXP/7/XJz1x4U45Kg0WdAiTIiZMCjCAiGXQrX0IQqVCrPvhKlLTlfiuelR7J2MWGABi2PpqBLBiROZa28kN5Xf/v76/85RTv2y0XRcDCBmCbMkf8UfBYRy8XGjLTtJUZyhpcpGUtf7uPQEAix7zDw2CmBhtsXwYkap9BJP6RWNS32jEKoIgqtYjZq24In4cMokA11QVuF1SieySStwoqkBOaSWSE8JdZkX17BCKx4Z1wpT+MXj/scHo3zEMfWNCMbxLJLQGC3pEyzGpXwf0iw2DjNOBASAyqbHgzDRMGxjLTxeUGKfA/Hs6QyxkqpM1iPPAY+UFAECU7go6RcjQvX0IepMbtgiKJhfgTPyzjzdk4ktmGSqMFkiEtn6yjmwJGACRVhVmpj1xN1FGecEpy8wp48yiB1aGASvDMP/QICw+ORSvnR2J/xQ+gn645XTcvENJ6NVBjmUP9MGyB/pgUr9oKFBpK2uowEnBk4iPCEK4TASpSAixgMWmn24AAI5dK+ITBFgGkHE6p/JQH9MGxvKzhNgzQuVSEcb3ao8Njw7G8ql9XXpr0aFSmK0Ej1q+gwC2WVGgyUWycicknB4sOHCXdiMjT42+ZYchYqyQsbZ73J4UI8WwCKFSWwSgm+U6GAC9yQ3swms2b1sqhKwkA3C4nwIQZAkfQ7bkj8gSPwHgbh+NIwqmEgxz93tiYsS638bgp8rpeE/0ARaN7YpxllNOZZ3s+wt063qhdwc5rBxBXHgQxEKB7VywvTv2c0phxPTURD5JojFZuTOT4zGiuitAwDAQsQyMVg4yxgSGAWSMCZfF8xEiEaBntJx/L+sqW/a/UFTgsO5h7Nc8hI+qlmLOiATMSOoIoYBFud6MqwVaqPVmdGsX4pVJClqNwQoKCnLykuwYDAZ+f10sW7YMGo2G/8vNbX4KL9t3utNnibkcHO528DOMreBnS/6IxwWHYbBwsIJ1fjkIZ/NuGgXD/1dMjNhbMae6dWhEn5gwhIiFYACczS7Dx8duIre8CkVaA3JK9baJRat/2D5Ox36uyn/0dv4ZTS4ePvM4n4mU1+dJ/roYxvb3Orbg0dzVePOHTOfrMVXwv+Gs+u6/RZwByy/ch4Wju6B/xzBYILSNOQIgBMEZyx9gtNwdT2TlCKJDbY2S/xzPRtrtcvx97yXM23oaGXlqpznqEuMUWPZAH0wbGIt2cgkfdk1OCEevDnI4vQ6aXCQW7MaCUXfHzGkNFnRvL+fTyg9eUWHDoaxaT2J5/nN8/15N7NfSD7cgE7GQigTo3zEUVgj4e9DLegMXctX4Ll0JxA7mK3qXfT8O987+F1xtUByPZ8FhwaFBSCzYjcQ4BZZP7QuGYfnvKlCJzYa/IjkhAn1j5IhVBPHZcbeK9bapnaozOTnHp6Zp+F0JlgjuPkPB3SEf9bFwdBfMSOqI1OAZTtch0Rc5fLKNI2Octth+J4orhoWz9YEpZb357b3JDQzpHAGWYaCPSuS/Y99vL8Nixops6R9xQ/JHXBA/DSHLIFwmQrBYADWCnZ6H470fWnkEL50cBha25ATHY0KMhXjp5DBs6ZeBJ0Z2xpZ5Q3jtDOP83rHgMP/QIJR9+gTW/XC1zqzYmsRHBFUPsg6CoXrcnf38MtaEI4LnkVOqh0bcwenaa5YxV9fW3XId8w8NwmtnR+Lfoo0YkhAOActAJLCFnr0x92CrMVj2DMOa2LfFxtadwSKRSBAaGur012xmfQKzWME/eBZAuTAaBkbiVIgYBljFbsUJshCD8SXKhDXcakPDhRQA8ketcSpkCrYSh9nnMTg+zDbwj2VgtBLozbZ04UqjBVZC0DM6BEYLx6esOubLMABkhgIUy/s6VRrhmstQyMQ4dEWFHaZ7Mav9D7AQxskYP8SewlbzK7iMrs4Vbexg3IqeUutldsKiR5fPhkNnsOCFbgfAVRtyBoCQJbgq+iPiw6UQCxhEBItRrjfhhS8voFhnQKneBK46E9EelnQ0OvbPNb2nBaO6gJn6trOOfX9x+picEI748CBEyW3P0Gi2Yu/F6hT0sPi7laXuCvZfVvHX7thP7Xitj7E/olOEDCqtEdtCn3O6T4cZW8WCRUfBrNTwf1ipAfrPqnnHnHDywmqy7y+28CWAvHv+z0lXL+4GXq18i/fCelX3p8RHyADYynCl0YLd0Yudn2k9jaq0nHK0l0shlwihkIkgl4gwpHN4g3Mz2o3qmMdeRYWkw93fq44k2DU/U7IOZ4Mn8PfZkRTDIiQnhKP0jwec9v3euh/xETLcnJ4K2O8ta/PGnN5N3H2Xrosfw3nuERwVvoDnOu7GsgHHcSt6Si3d9u+w4JyjCQ774k4ux4LjE2xl0vFZMjWMJ4BxxmPYlDcTqen5SE3Px9p9V+o0CtMGxmLawI544d7uqDBawBGCN5mnnJ5xO2sxlmj/haSKdzEt8nt8M+0SX7a2T7yII13/Bm1QPH/P6zLM/csOYUPmeJw0PoJB8Qp0axfSqPGezaXVGKxBgwbh/PnztWbgOH36NGQyGXr27Ol1TZ+POwrHIhthUUEZPQHlYf2cC0K1t5VB/oAfI/9oq5Sk4bad9v83QNzE58E4FH4GQAyK8VTRm5BXh0ZE1U+bA6A32dJfWYbB0M4RyGK7333pa7T2InVXUCLv6/R7ar2JnyEhOSEcM9qlwswInYxWInMLHbkaAyKVF1A5bTN2TLwIddeH6ryeEGMhnsl6CgqZGP8YehLEwWgJQHBEPwvdo+VQyGwp2MU6A9R6Wye5hSOIChEjOSG8znBKTUMGABj6JBBWI6zhUBknxinw3ITuuKdbJEKlAgSJBUiItFXmWHLJqXKayR3En4PfdTpVTc/yZW4bwmViTOkXjSMhU6FEFO+pdmRKEBEsclk5ZYx4B9smXkTGUzm2smL/c+WNxQ6uTgd3QHkBWBODQ7KpUAX3daqQuqn2A7g7z+G0gbF4YmQCurULhkRkmyrpeqfZzkbEUA6kPFlLJ2ArG50iZOgUKcO4nu2wfGofjOwW1agZXOyZje8l7nF5HxkAAzU/Ivfe92rtZwCEm1V8yNHxOxPvbIBMLMTWE9l47ONfsHjXBWQsvGEzXlPf5RtTrirqKK4IXyinYN1vY2xjmez3Xiir+0KqGzNORt5QDqwKB2Z9AkjD7757BLBwTK1IzHk8jqsFOnxzPr/B8Y89ouWIVUgRIhHidOR0MP1nOdU1D7Gn8ChzGDeLK5wGLCcnhONOt0dx+/ETyH7iNLZPvIjfnsqBKbhjnR4+Aw4f3rwP6zPHo3fe1y2+MkRAGqyCggJkZmbCbL47WG3WrFlQqVT45ptv+G0lJSX473//i2nTpnk1pd1OckI4fun9mnOFUHQQ3w7biWUDjsNcHe4C7npbs1TrbRv+dtv2IjTQqe3ErE9sFZQDXVX7MU6biqGdI9AxXMYPdDRaCHLL9LheVIECTRW299vGf4cAyCdRTkYrlNPwlbkpuCPiI2SQS20p2Mun9sXa3w/AzonnYGQktV42pxASgMT/jsaCUV0QPvcz5wq3hsHtbMrC00VrMW1gLNiV5U5GiwWH78sexMTK73ElXwu9yT5nGwOFTIQuUcFIjFM0eukOniWXnCufGpVxYpwCGx4djM+eGoHkhHDklOqxbHc6tp3MdnrOC7QfYFLfaKdQHwFgYmX8cUKY8dyE7lg8sRcm9euAv8R87iTlvcJ5eOdg7ZBjndfkyhtbdBRYUQ5UexB2iEWPOYeG4JO+n0Ar7uBUGfXcPsApS3XBqC54bnw3dG8fguhQKYp1RmwZkur825dcz3yTGKfAwHgF7u0djYHxCsxMjq/dUKgD+7yD11Q63Iqe4rLCZEEwMzket6KnwAohzgbfe/caHY5z/L6AmJFVqMVv+RpkFupw7nbZ3YHBMTOxY+JFLBtwnG/EEeLaeIXf/uHuD/y9wHa/pzo3UhA7GFhyCd9Mu8SHt3l9hANZGQajQAZLdTRGwwSjt3kn1CTY6T0SM1ZcYR/FTO5AneMfHWfmiAmTQiRgERMmxbaYv/NGx36+/xNsBcA4JUo4NuIc/y3565W7ZaqGYXa8H6OKdvnH1Ewsy0IgEDT5zx02btyINWvWYOvWrQCA1NRUrFmzBmvWrIFGowFg63Pq06cP8vPz+e/NmjULI0aMwIIFC7B69Wps2rQJ48ePh9VqxapVq9zS0hzs6dEhoxeBcWy1i2R8n0nmUzeh7vpQ/eGxprLoqJOXwAB4rGQDRnaLxAv3dsfA+DCIWAZBIhallSbcKa2EUl0FuUOfAgMgjfR00iSuzAdGLwFWavDFPfsgEwudJvO1F/BrT11DBRvi9HKwIADr0GdRV7/HrE9qae+m2o/Egt0AgB0TzzuFBxkAfzFtxqOCw/xvBYls0/PYX0S31gT7e43QcnVlbPfWdqflVlemOhRqDEhJy8cvN0ucK0VwyCnV49/ip53u4877TjldX+KvL/M6p/TvgDJRtO36qr2snNK7ITA7bl3TGyW17q0QFrx2diTCJr7C92cBgMSixewLTzidf2ZyPGYkxaFfbBhuFlfg+wwlrgu6OxuROhIw3F2XLTkhHD2jQ9AzWo7KaZv5Sr3WO3L2E1RO24xPJ55D7r3v4WzwvbBCiMsRE3nv+uIw53DvYs2/IBMLIBMLEF4960PNPs3LU/diSe+jeCjqe5QJo2sbzBr91ABsXrpjI2zRUQC2+ydaWQrGoUFpL8Piynx8Pu4ovpl2CSt77wPLMBjBbUEG6epktBgGWEb+g2dL17kMDSYnhEOtN4EjwMVcDUIkQlzM1SCrUIcv7tkHThDk9F6msXObtKTKtpPZyJh/9e61sSInj16b9KdGnas5MIQQVw0XJ1auXFlrMPCePXtw+fJlTJ48Gb162dKDMzMzcfDgQfTv3x/Tp0/HihUrmiyoc+fOyMnJcbkvOzsbnTt3xvz587Fjxw7+s53y8nL89a9/xd69e1FVVYWhQ4fi7bffxpAhQ5qkQavVIiwsDBqNxu3+rG0ns6HWm6GQibBgVBfkHdqI0PMfQZv0J8RNfL7W8YZV7SEhRhgZCaQrilycsYmsiXGK90MoQ8b8q/ysA7vO5aJYa5vpICpEjGfHd8eDv/4RUborYABYwWCFeQH+T7j1br9WRFfgxQsNDhTOyFND9/k83FN11NaZDICZ+q5zn9BKTd3a7Wn0jqy8O9B67uEhYInlbgYWAf5uWYhd3P2IDBHj4UEd+cGablOdps4jDce2MT/xA5KNFg43iyqgM1jAMED7UAk2PzEEiVsSbJoAXEZXzBP8E6csj0HCWGBmRHgqfh8+znsYEs4ha9XhXmTkqTFgSwKf2FEsaIfChec813JNebK2NySLAia8BrLvL3fvKYDfnspxOcj8ZnEltAYzFEEinDLNck4Vqk7fbinIyjDeW+VrJFYMvFEMwPbeZRXqoNabEB8hg0xs6zsDgCcOD4OQ2MYRcQD2TLvEjzcEUG+ZtuOxSaJXhYMQjr+WDaPO8nXFst3p2H9ZBYuVw++5A1gp2OrUJ0kIkI8oPBu1vdaYOPu6YOV6M66pdAiV2hqWyx7og7Sccsw7NJh/XgSAPioRwc8fb1BuzfrMkzSlvm2Uh7Vy5UqsWLGC/4uJiUFRUREuXbqE77//Hu+88w7eeecd7Nu3DxkZGSgsLKw3yaE+bt++DUKIyz+7cdq+fbvTZzvh4eHYsmULSkpKUFlZiaNHjzbZWHmKmq3KQ7Kp+CTpGxySTXV5/LUnr2H7xIu49uQ1zwj4e4FzGMiiR5+tvaDWmxEmE2NaYiziwqUIEQvQJ8Y203LBH/4Hs8Dm8hshwX8xkQ8NWiBAXh9bReSy/8eBxDgF5HN2YKviBSgFsdif8FdbJWZvXdYIW9bib7dr9wmc/YT/XcGKUhBG5NRa/IswBSxjm9jWI1PELDrq3PdjKMf0m29AIbNNfWVbcl6EEKkAMokQUSES2/2o7kdiYMsErDJz+CfmI4+JwaehfwLA4Ei8c4PFsZ8tMU4BvTSG97LaccWeXbF21ie1w1YAMPRJ3BL2cPIi+mx1nqE9MU6B/h3DIBayELEM9EYLPg1/wdnz+OGvntPqglvRU2BlhM59qtzdwax27+i5Cd0RLBbgwOVCaPQmJCeE40yvvzp5uzHXv3SaZaYxocomh5jrYkU5H3kxBXeEQiZCqFSIbSez8djwBLx4Xw/0iJbjf5IHcG/wXqdwIsMAHVGClOKHse6Hq06eVmKcAhP7RiNcJkJiXBg6RwXzk2gnJ4TjQMJSp3tgT+1viPq8ZG+uTuxWH9Zbb72F559/nvesHOnTpw8/+WxbxvEFsE+kWXOeuLqO9xhvlIA4BFCEnAHPnr6P70yPVcjQPVqOntUzNiTGKSCesgaI6IqyUa9DIGAxxvQeuhi/wD2ir/B26ahG/3RinAKKsc9gdefPoE+cZ9u46KhTmKRe/l7gZLS0R9Y7vRDsipJaRksmEfLX4hEecA4jhd/6DgtGdUHPaDkSIoMgrJ7KigFB/9jqluGio04hqw3CjfiK3I+H2fdxo9MjGN+rHTpOfN4pfbjixMdOleDXY/7n9LvLrz3imeuxYw9bTX3X5jVPeA0AkDp8J7QIuZuRyRlqVUTTBsbid/07oH2oFAzL4EvuflRIHKZTI1Y+C7ElqJy2GZ/efw4Ff3C+Rzj7CQDn9yizUIewIBEyC21TBt3z6CtgHIZ/DM36V5MNj7vhTZcsuQSs1EDy1ytYMKoLv6K03YNLTghH9/YhGNE1En9o/y30nLhWv9YXyimoOPGx02nt4yR7RsudJtFOjFPgdwv+bkssqQ7n2VP7G6K++sljRrwRuGWw8vLyIBKJ6twvEomQl9f82Z1bC2k55XyfDwCs3Xel3vRUT1Iz6UNq0SLxv6ORGKdAdKgUmiqz8wDYoU8CL15A3MTnMbRzOILEAkgEDKpMVn7JhsbiNMDYHf5eAEx9F9qgeJyNebzWC8GuKMGFAa+jSNQR34XPx6D4cNugSE/h6BXaWd+fTx9uL5fAYLbCbCW47dTXdLdSvJ87DgLbWJVyvZl/6UuqhwowAJKVO50qweSEcJQKop3GFDWGJrd0q5+1PYQXJhNj66ifYGFt49osrLRWRZQYp0DvDnIUaQ0wmK0oqTDi9S67nL0sx1Cqh3GqOAUOiVT/+1utY3t3kENTZXaa7qi867S7SS/E3GTD0yINy2rsxjBUKuRXbbAPLyjQGDAMn9Xu1wIwMnMt8v81nH/u9vNMGxjrWuvQJ8G+UQJmpaZR4cDG6m7pDEHATYPVv39/bNq0ySnpwU5eXh42bdrk1Xn7/B3HB+qY+eSNFknI6EW1M6w0uUDKk2gnlyAuXMbPmVeThwbGYmBcGDpHyWAlBKUVRpdredVFcwtyRp4a20z34tD9/8Odbo86ncdeOf9P+gB2DtuL/O6PYXyvdp6fMbpmaLB6QHFyQjjEQhYcRyBkGVQYLXfvS/+Z/OEMbPNKmiycU8VZ8If/4Zfey2EM7QzJmBdrjRVTLjjTZKnNbenan9fVhVnASg2uLsxy+fwOXVGBZVC9ACeDO2V6/Cqb0OixWR5jyrq7/3YIC9oJk4kxKN7madmfzd5uq/n9jkkv/oDdGDp6WvZtPaPlELIMnhL/C2uYp8AR56EnsfpM25RZaFmjWp9ub/yeWwZr/fr1KCoqQs+ePTFnzhysXLkSK1euxOOPP45evXqhqKgI777rIk7eRnF8oPY1gRoz2t9Tv93t2a+cspMAgFxKQVLRN+gZHVJnJa81WDCsSyQigiUQsSwMZiuuF1XgxS8vNGpBv+YW5NR0JY5mFSGzUFfrPPbKGUD9rUlP8EDtAcU2o8CgV4wcHcNl6BcbdtdQzPrE6fAnRD+ic1QwKk13lwixh6gkf0l3maSQGKfgxzo5hdzqobkNhLoGWde8pxP7RiM8WAKZSIBKk235ja86rYBF7HBcPWOzPEbN+1bj9+xZcwqZmH82oVIhLHCIDtWRju8tXHnFrp7jy5N6YWS3SNzXJxpnIqcjif0aJiJw7o/idKjcOMar+r2NWwZr9OjROH36NCZNmoQ9e/Zg9erVWL16Nfbu3YvJkyfj9OnTGD16tKe1tgrs41KGVc9l5zWq090dC/jknLecUtMdcex3M1qsqDJbYeZsixjmleux/dRtLwl3nejfYNjDk7gYUDzn5/HoGR2C5IQIPD2mC3p1kDsbCofkixmGvU7DBhqLffBmYydBdqeB4E6H+czkeLz32GAES4UgHIGAZTAwXgHRazWye71hDBwbYpd2O+2yD/S2P5uMPDUOXVHh+9gXXY7p8gWuvOKa/d/bTtqSbuzXMv+ezoiPkCGZ+QKa6mmigLtJFN5KgPAFbg8c7t+/P/bs2QOdToeCggIUFBRAp9Phm2++oeHAajLy1C77q7wZ83ViySVYWKlTAZ93eKjLSsve7wYApdXLM9ipuSx7S2Fbedl1mM/bYY+aA4pFJjWeK7WFpI5fL+GXduFZdBT5o9ZCGxSPgr5PNnkFacA71+huGDExToFe0XJIRQLoTVasP5iFGZtOoLJmJ34LJmAAqE7gqXv0ouM9TMsph0ImxoGgB6CPSgQBUCzv69PK3bEucFVf1FxqaMGoLugRLUdJhRFVJiuSjf/Bfozix3JmMt29lgDhC5odk2JZFlKpFCEhIbXWomrr2PurAOK0tpXj8hfe5urCLPT7pBs/jokhZvTZ2gs/jjzupNHe36Y3WdArWo6ySiNYs21dKZYFRAKGT8NuKXx5n1zy9wLb7OjVhN36DtcsL+BmsY5f+NJRb1mfOTgkm4rkhHAs8KfrcMBxpeumkJGnhsnCoVv7EGQWaGG0cvgtX4sN92zG8tJRtombgRZNwODpPxO4stf1QF4HHJNaguOO3x1b1IR15zyNYxnfdjK7Vn3h6vnYlgUSo6zSDI4jWGx+HkL2BXRtH4L7erf3TWPYS7htYc6dO4cpU6ZAJpMhMjISP//8MwDbdEgPP/wwjh496imNAYvjSH1/KUCJcQoIVpTyk30CzunujsfZJ4kd2S0ST47qgqSEcLQPlSAyWAJNlaXVtuLqpcZMBRsK5iBcZluRtSbeTPd1F3e9OPsil+3lEozuEQWhgEWoVIhL+Rrk3fN/zge3dALGrE+AN0pr9R3WpOa1+izSUQeu6gtXzyc5IRxje0ZVDy+QwEoAoYBFiESIMJm4+YOa/Ri3PKxTp07h3nvvRceOHTFnzhxs2bKF3xcVFQWNRoPNmzdj/PjxntIZkLjyEDw2Ur65vFHCewt8ursLPddVOpy+VQqpSAC51DZ2I1gixICOYX7zonuVRUdtk5ZWz1IQblbh07CPsbfb6lr3w13vJRCwr3BtMFvRTi5B35hQ7L2oRFmlCTtM92K5NNx5HbWUJxs0KN7G3zz4xupxPG7tvis4eLkQOoMFYiHb5JXKAw23PKzXXnsNffr0wZUrV/Dmm2/W2j9hwgScPt341XLbEn7V6m5gmQrAlsKcW16FC7lq/JavRpXRgvJKE8b0iGq1L0WD1MgaDLv1ndNnx45yr/azeZj6EjIS4xSIVQShXG9GWk4Z9l9WQWcw41ZJJY5dK8K2MT85JzZc2esl1W2L3h3kCBILMaSzbQyiP3mMLYFbBuvs2bNYsGABJBJJrTkGAaBjx44oLCxstrjWiF+FIRxnd3cIdTlWVBP7RsPKEfSKDkFUiARmzjZg0XFZgjZHjaxBBkCnm7v4RohfNUqaQUPXYQ9hSYQCdIqQQVtlhtVKcKO4EqnpSihl9sU/mQb7lyjuoTVYMCheAZZhvJMx62PcCgmKRKJa6045kp+fj5CQELdFtWZ8HYaoFZJ0MU2SY0Vlz0qydfQKcfx6CVRag9OyBG2RjEdOoP+WLrCvvzu0YCfa3fssgNYTCmzMdcQqgtC7gxyZhTqIhbaMQY4DrhRo8VqX97Bj4XAvKm57OCaStGZDZcctgzVixAikpKRg8eLFtfZVVlZi27ZtGDduXHO1UVqAmmmyrqhZUTka2cYuR9BS+EsfYFpOOYq7voJ7cjcjSCRA6IQljc4CrXkN/nJNNWnoOhwHbwNAsEQAs5WDlSMwWTj8eqsUGw5lYfHE2nOOUpqPv5ablsStkOCqVatw7tw5TJ06Ff/7n20SyvT0dGzZsgXJyckoLi7G66+/7lGhgYY3ZzBuCo0JSXp9jFMT8Jdwm3111uvzLgKv3GzSkho1r8Ffrqmp1CxL9mm+JCIWhAAcB+w6l+uX70FrIFDLTXNwy8MaPnw4fvjhBzz77LOYO3cuAODll21zcnXr1g0//PADEhMbNwtwa6Uxnowv8HVIsrkkJ4QjNV0JvcnS4uPA6qM597GmBxuoIUTHe3BdpUNumR555XpYrbZ0CwtHoNGbkVWo44+neI5ALTfNwe2Bw/feey+ysrJw8eJFXL9+HRzHoVu3bkhOTnaZiNGWsE9rBAD39WnvYzWtC/uMBTU9lEAKi9Q0dvUZv0AJ+9hn5j95o4RfgZZlwIcGh3ZuO5Wqtwj0xqc7NHumi0GDBmHQoEEekNJ6sE9rpJCJ2lyB8gaOLUt/9WQbw+60XBy6osLEvtF19g36+voaazDtz+LBxBj8mFkMo9kCndE22a/eZEFmtZflbRqrP1AaBm0dt/qwWJZFTEwMjh075nL/zp07IRAImiUskPGr1PVWSM3Z7wP1Xh+6okK53lzvEAFfX5/dYKamK+vti7I/k3UzB2LLvCGYPbQTYhVSCFgGZqt3p5p17D9ubD9PW+wPCkTc9rAMBgPuv/9+vPXWW3jppZc8qSngsc8OESoV0tZaC+MPYRF7xRgqFUJrsDS6lT6xbzTvYdVFS11fUz0nvcnSaE/PrvlSvgYWK4FUJPD8OmX14Gh8GtvP0xb7gwIRtw3Whg0bcObMGSxZsgTnzp3Df/7zH0ilUk9qC1gcW86+TgOntDz2CvL0rVL06hDa6PDdzOT4estHS4apGhtqtBsfRy2NZXiXCJTrzZjSL9qrjQpH4+POdEcU/8XtyW9FIhE++OADbN++Hd988w1GjRqFO3fueFJbwDKxbzTCZaI2P7i2rWAP203sG+3R8F1LhqmaGmp0Z6hDpcmK6FCp08KV3sCfh2VQmkezky7mzp2LxMREzJw5E8nJydi1a5cndAU0PaLl0Bos6BEtb/hgH0I7mj1DS7XOWzJM5UnNdZWjYp0ReeV6hMtqz2Tva2jZD0w8soDVoEGDkJaWhqFDh2LKlCn45BP/mpXZ29iXdk9NV/paSr0Eekezvw7O9hSB4inUVY7aySX8YGJ/wx/Lfmsvz57AYysuKhQK7Nu3D6+99hq/NlZbxdayrEKxzuhrKfXi6wy05uKPlU5bpK5yVN+K0S1NQ5W/P5Z9Wp4bxq2QYHZ2Ntq1a1drO8MwWLVqFR555BGUlpY2W1ygYmtZBvlly9KRQO9oppldvqFmAkZdoTVflq+0nHJkFdqydZ+b0N2vtNUFLc8N45bBSkhIqHd///793RLTWpg2MJYWPC/gj5VOW8DRE1Cqq3BNVQGlusqvnkVyQjhO3yqFQib2u0HldfWfeaI8t/a+uUYZrNWrV4NhGCxfvhwsy2L16tUNfodhmDY7AS6tSCmtGUdPwDYFmXcHBjeGxDgFnpvQ3S8bji05e4mvZ0ZpaRhCSIOljWVZMAyDqqoqiMVisGzDXV8Mw8Bq9W46q6fQarUICwuDRqNBaGior+VQKH5La2/RtwQtec8C8Xk0pb5tlMFqa1CDRfEnArES8iaBen8CVbenaUp967EsQQqF0jL4c/aYP6Ri+/P9qQ9P6PaH++9NqMFqAdpaIfJX/P057E7LxZ8+O4fdabn1HuePKdh2/MFY+PP9qY/6dDe27PrD/fcmjUq66NKlS5PXuGIYBjdv3nRLVKDT2js+AwV/fw6NmXPSn8JGrrT4w4KaDSU5+dM9dKQ+3Y0tu20tFb5RBmvcuHFtflHGptDWCpG/4u/PoTGztfuT0XWlpeaCmr7W6Ap/1+eKxpbdtpaRTJMuXECTLvwXf20t10VDepu735vUpcWfNLrC3/W1dWiWYDOhBst/2XYyG2q9GQqZCAtGdfG1nAZpSG+gXQ/Ft7RG49uU+rZZs7WbzWZkZmZCo9GA47ha+8eOHduc01MotfD3MF9NGtIbaNdD8S2BGN70JG55WBzHYdmyZdi0aRP0en2dx7X1gcOtsTXkTdrS/WtL1xootPQzcef8rbGctPg4rDfffBNvvfUW5syZg08//RSEEPzjH//ARx99hMTERAwcOBAHDhxwS3xrwp9STv09xdsV/nT/GkNz7nGgXWtboKWfiTvnD5QlZ1oKtwzW9u3bMXv2bHz44YeYMmUKACA5ORlPP/00Tp8+DYZhcOTIEY8KDUT8aXxIIFaI/nT/GkNz7nEgXGsgNnqaQ0s/k0B45nXhq7LgVh9WXl4eXnnlFQCARGJbQsNgMAAAxGIx5syZg3fffRdvvvmmh2QGJv6UchqIfSX+dP8aQ3PucSBca1vrP2npZxIIz7wufFUW3DJYkZGRqKioAACEhIQgNDQUt27dcjqmvDxwWvKexh/izDU1BPLLESi4c4/9oaw0hF1jqNRWXTRkkAPhmijNw1cNYLcM1uDBg3H27Fn+84QJE7BhwwYMHjwYHMfhvffew8CBAz0mMtDwh5aoP2igNIwvnlNTDYpdI4BGpd7Tstf6cWycebOB4lYf1qJFi2A0GmE02paAX7t2LdRqNcaOHYtx48ZBq9XinXfe8ajQQMIfYtP+oIHSML54Tk3ta2uKxow8NZTqKuhNFlr22gje7B/32MBhjUaDo0ePQiAQ4J577kFERIQnTusT6MDhwIKGoJpGS9wv+zmV6irIxEI6ELoN0dzy5LWBw46EhYXh4Ycf9tTpKJRGQ0NQTaMl+jMdw4bUs29beLN/vNkzXeTn56O8vByuHLWkpKTmnJ5CaRSBmAFZF4HqLdqfwX192geUbkpg4ZbBUqvVWLp0KXbu3AmTyVRrPyEEDMME7EwXlMCiNWVA+ru3WJdBbU3PgOK/uGWw5s+fj9TUVDz66KMYPnw4wsLCPCbIaDTijTfewGeffYby8nIkJiZizZo1mDhxYr3fW7lyJVatWlVru0Qi4ceIUSj+jr97i/5uUNsSgeqNNwe3DNbBgwfx4osvYv369Z7Wg/nz5yMlJQWLFy9Gjx49sH37djzwwAP46aefMHr06Aa//+GHHyIkJIT/LBAIPK6RQmkKTalY/N1T8XeD6khrr9DbYuPB7YHD3bt397QWnDlzBrt27cJbb72FpUuXAgDmzp2L/v3745VXXsGpU6caPMesWbMQFRXlcW0Uirs0pmIJlMrV3w2qI629Qrc3HkKlQmw7me33ZccTuD0Oa9euXS6XFGkOKSkpEAgEWLRoEb9NKpXiySefxC+//ILc3NwGz0EIgVardZkEQqH4gsaMYwrEuR79ndY+FtE+Ea7WYGkzZcctD+v111+H0WjEkCFD8MQTTyAuLs5l6G3GjBlNOu+FCxfQs2fPWrn4w4YNAwBcvHgR8fHx9Z6ja9euqKioQHBwMKZPn4533nkH0dF1L0FOobQ0jfFKAinUFigEkjfoSFO97bZUdtwyWPn5+Thy5AguXryIixcvujzGnSzBgoICxMTE1Npu36ZUKuv8bnh4OJ5//nmMHDkSEokEx48fxwcffIAzZ87g3Llz9Q5Ic5y1A7ANZKNQPEVjKqBArVwpnqepocy2VHbcMlgLFy7E+fPnsWzZMo9mCVZVVfGzvzsilUr5/XXx0ksvOX2eOXMmhg0bhscffxybNm3C3/72tzq/u27dOpcZhhSKJ2jtfSkUz9KWPKam4tbUTMHBwVi6dKnHK/n+/fsjOjoaP/74o9P2K1euoF+/fvjoo4/wzDPPNOmcMTEx6NevHw4fPlznMa48rPj4eDo1E8UjBEpCBYXiC1p8aqYOHTq0yFyBMTExyM/Pr7W9oKAAABAbG9vkc8bHx6OsrKzeYyQSiUvPjkLxBG0pZOMLaIOg7eBWluDLL7+MLVu28GtieYpBgwbh2rVrtfqQTp8+ze9vCoQQ3L59G+3atfOURAqF4mekpitxNKsYqel193H7M21tJefm4JaHZTAYIBKJ0L17d8yePRvx8fG1sgQZhsGSJUuadN5Zs2bh7bffxscff8yPwzIajdi2bRuGDx/OZwjeuXMHer0evXv35r9bXFxcyzB9+OGHKC4uxpQpU9y5TAqFEjAE7jAW2sfZeNzqw2LZhh0zd+cSnD17Nvbs2YMlS5age/fu2LFjB86cOYMff/wRY8eOBQCMHz8eP//8s9NYK5lMhj/84Q8YMGAApFIpTpw4gV27dmHgwIE4efIkZDJZozXQ5UUoFM/R0iG7QA8JBrr+5tLifVjZ2dluCWsMn376KV5//XWnuQS///573ljVxeOPP45Tp05h9+7dMBgMSEhIwCuvvILly5c3yVhRKBTP0tIeRKD3EQa6fm/SZA+rqqoKy5cvx4QJEzBt2rSW0uVTqIdFoXiOtu5BUOqnRT2soKAgbN68GX379nVbIMV/oJUJpaWhHgTFU7iVJZicnIxLly55WgvFB9A57CgUSqDglsHasGEDdu3ahS1btsBisXhaE8WLtPYJQikUSuvBrSzBxMRElJSUQKVSQSKRoGPHjggKCnI+McMgPT3dY0K9Ce3DongTGpb1H+iz8D4tniUYERGByMhI9OrVyy2BFArlLnQcjv9An4V/45bBOnr0qIdlUChtFzrZqf9An4V/41ZIsLVDQ4IUCoXiHVo8JAgAVqsVn3/+Ofbt24ecnBwAQEJCAh588EE8/vjjLhd0pFAoFArFXdzysDQaDSZPnoyzZ89CLpeja9euAGwzYGi1WgwbNgwHDhwIWO+EelgUCoXiHZpS37qV1r58+XKkpaXh/fffR3FxMc6fP4/z58+jqKgIGzduxLlz57B8+XK3xFMoFAqF4gq3PKyOHTti1qxZ+Pe//+1y/4svvoiUlJR6l7T3Z1q7h0VTdyltHfoO+A8t7mGVlpbWm9Leu3fvBhdNpPgOOrsFpa1D34HAxC2D1b17d3z33Xd17v/uu+/QrVs3t0VRWhZ/nd2iroXs6AJ3FE/jr+8ApX7cyhJ87rnn8Pzzz+OBBx7A4sWL0bNnTwBAVlYW3nvvPRw6dAgbN270qFCK5/DXyUjrGrRJB3NSPI2/vgOU+nHbYBUVFeEf//gHDhw44LRPJBLhjTfewLPPPusRgZS2Q12DNtviYE7ax0Kh1KZZA4dLSkpw+PBhp3FY999/P6Kiojwm0Be09qQLiv+z7WQ21HozFDIRFozq4ms5AQc1+IGDVwYOA0BUVBQeffTR5pyCQqG4IJC9Sn8wFjSM3DpplsHS6XTIyclBeXk5XDlqDS1rT/E+/lCZUBomkPtY/MFYBLLBp9SNWwartLQUzz//PHbv3g2r1QoAIISAYRinf9v3UfwHf6hMPAU1vv6JPxiLQDb4lLpxy2A9/fTTSE1NxYsvvogxY8YgPJy2YgIFf6hMPIU/G9+2bEypsaC0FG4ZrIMHD2LJkiX417/+5Wk9lBamNVUm/mx8/dmYUiiBilsGSyaToXPnzh6WQqE0DX82vv5sTCmUQMWtmS7mzJmDPXv2eFoLhdJqSIxTYMGoLn5rUN2BzjhC8TVueVizZs3Czz//jClTpmDRokWIj493uf5VUlJSswVSKBT/gIY5Kb7GLYM1evRo/t+HDh2qtZ9mCVIorQ8a5qT4GrcM1rZt2zytg0Kh+Dn+3GdIaRu4ZbDmzZvnaR0UCoXiMdrysILWjFtJF44UFBQgPT0dlZWVntBDoVAozYaud9U6cdtgffvtt+jduzfi4uKQlJSE06dPA7BNiDt48GCaRRiA0CwwSmuBrnfVOnHLYKWmpmLGjBmIiorCihUrnOYRjIqKQseOHbF9+3ZPaaR4CdoqpbQWWuOwAoqbBmv16tUYO3YsTpw4gT//+c+19o8cORIXLlxotjiKd6GtUgqF4s+4ZbAuXbqE2bNn17k/OjoaRUVFbouieBd7KBAAbZVS6oWGjSm+xC2DJZPJ6k2yuHXrFiIjI90WRfEuNBRIaSw1y0ogGrBA1Eyx4ZbBmjBhAnbs2AGLxVJrX2FhIf7zn/9g0qRJzRZH8Q6BGgqkFY/3qVlWArGxE4iaKTbcGoe1du1ajBgxAkOHDsUjjzwChmFw4MABHDlyBJs3bwYhBCtWrPC0VkoLEagDQulUQd6nZlkJxNkv/E0zHTPWeBjiaqngRnD58mW89NJL+Omnn5yyBMePH48PPvgAffr08ZhIb6PVahEWFgaNRoPQ0FBfy6HUAX3RKa2BbSezodaboZCJsGBUF1/L8TpNqW/dNlh2ysvLcePGDXAch65du6Jdu3YAnFcgDjTaksHKyFMjNV0JAJg2MJZW/BSKl2nrDa+m1LduhQQdCQ8Px9ChQ/nPJpMJ27dvx9tvv41r16419/SUFiYtpxzXVBUACA2tNYG2XslQPEeghuR9QZMMlslkwnfffYebN28iPDwcDz74IGJjYwEAer0eGzduxIYNG1BYWIhu3bq1iGCKZ0lOCIdSXcX/m9I4aP8ZxZvQBpKNRhsspVKJ8ePH4+bNm3yfVVBQEL777juIxWL88Y9/RH5+PoYNG4b3338fM2bMaDHRFM9BW3fu4W8d95TWDW0g2Wi0wVq+fDmys7PxyiuvYMyYMcjOzsbq1auxaNEilJSUoF+/fvj8888xbty4ltRLofgF1ND7L431RvzFa2mMjqY0kLxxXb66d402WIcOHcKCBQuwbt06fluHDh3wyCOPYOrUqfj222/Bss2e/J1CoVCaRWO9EX/xWhqjoykNJG9cl6/uXaMtjEqlwogRI5y22T8vXLiQGisKpY3g7wO2GzsQ3l8GzHtahzeuy1f3rtEeltVqhVQqddpm/xwWFuZZVRQKxW9JTVfimkoHpbrKL8OijfVG/CWs62kd3rguX927JmUJ3r59G+fPn+c/azQaAMD169ehUChqHZ+UlNQ8dRQKxU/xjzGW/tIPRfEOjR44zLKsy4HArgYI27dZrVbPqPQybWngsD/TWisjf7+uhvT5k/62PktEa6BFBg5v27at2cIolKbgqmPXnypLd/GXzv66aEifv4TSgNY7vKA1lPOWoNEGa968eS2pg8doNOKNN97AZ599hvLyciQmJmLNmjWYOHFig9/Nz8/HkiVLcPDgQXAchwkTJmD9+vXo2rWrF5RTPI2rysjfK/vG4K+VrL2SDJXaqgV/0+cKfzKenqQ1lPOWoNlzCXqaxx57DCkpKVi8eDF69OiB7du34+zZs/jpp58wevToOr9XUVGBpKQkaDQavPzyyxCJRFi/fj0IIbh48WKT1ueiIUH/hbY8Ww4aXvMtjvN69u4gh9ZgaRPl3KtzCXqSM2fOYNeuXXjrrbewdOlSAMDcuXPRv39/vPLKKzh16lSd3920aROuX7+OM2fO8HMb/u53v0P//v3xzjvv4M033/TKNVBaltbWoq5pgH1pkF15fjUnRwbgVw2Gptyv3Wm5OHRFhd4d5AiTif3mGuw4zusZqwhqsNHgL2XHm7/rV4OnUlJSIBAIsGjRIn6bVCrFk08+iV9++QW5ubn1fnfo0KFOE/H27t0b9913H77++usW1R1o+Ps4mrZEzcUEHT/bn9PutFyvPK/EOAUWjOqCI1dVmLLhGDYcyuIr0WsqHdJyyv1u8cO69Lgq44euqFCuN2PvRSVS0/Ox7oerfvEO2LWGSoXoGR2CntHyRoVj6ys73sSbv+tXBuvChQvo2bNnLbdw2LBhAICLFy+6/B7HccjIyMCQIUNq7Rs2bBhu3rwJnU7ncb2Bir9VOm2ZmgMwHT/bn9OhKyqvPq/9l1XQGczYf1mF5IRwp0rUXwbb2qlLj6syPrFvNMJlIiREyqCpssBo4fziHbBr1RosWD61L5ZP7dsoT6W+suNNvPm7fhUSLCgoQExMTK3t9m1KpdLl98rKymA0Ghv8bq9evVx+32g0wmg08p+1Wm2TtQcS/trp3xapGeKs+TktpxwT+0bz/RneYEq/aOy/rMKUftEuQ7D+FEarK0TsqozPTI7HzOR4pzCnP7wD7r6PDZUdb+HN3/Urg1VVVQWJRFJru31Gjaqqqjq/B8Ct7wLAunXrsGrVqibrDVRaWz9Qa8VXz2nxxF5YPNF14y5QqO/e+Vv59zc9/oxfhQSDgoKcPB07BoOB31/X9wC49V0AWLZsGTQaDf9XX18ZhUKhUHyDX3lYMTExyM/Pr7W9oKAAAPjFImsSEREBiUTCH9eU7wI2z8yVd0ahUCgU/8GvPKxBgwbh2rVrtfqQTp8+ze93BcuyGDBgAM6dO1dr3+nTp9G1a1fI5XKP66VQKBSK9/ArgzVr1ixYrVZ8/PHH/Daj0Yht27Zh+PDhiI+PBwDcuXMHmZmZtb579uxZJ6OVlZWFI0eO4JFHHvHOBVAoFAqlxfC7mS5mz56NPXv2YMmSJejevTt27NiBM2fO4Mcff8TYsWMBAOPHj8fPP/8MR+k6nQ6DBw+GTqfD0qVLIRKJ8O6778JqteLixYto165dozXQmS4oFArFOwTsTBcA8Omnn+L11193mkvw+++/541VXcjlchw9ehRLlizBmjVrwHEcxo8fj/Xr1zfJWFEoFArFP/E7D8sf0Gg0UCgUyM3NpR4WhUKhtCBarRbx8fFQq9UNLgbsdx6WP2CfFcPeZ0ahUCiUlkWn0zVosKiH5QKO46BUKiGXy10uWmlvEQSiB0a1e59A1Q1Q7b4gUHUD7mknhECn0yE2NhYsW38eIPWwXMCyLOLi4ho8LjQ0NOAKlB2q3fsEqm6AavcFgaobaLr2hjwrO36V1k6hUCgUSl1Qg0WhUCiUgIAaLDeQSCRYsWJFQE7nRLV7n0DVDVDtviBQdQMtr50mXVAoFAolIKAeFoVCoVACAmqwKBQKhRIQUINFoVAolICAGiwKhUKhBATUYFEoFAqlUfg6R48aLIpP8fULQKF4C41G42sJbvPVV18BgMup6rwJNVgALly4gDt37jgVqECpSPV6va8luMWtW7eg1+thMBh8LaXJpKen4/r168jLy+O3BUp5+fbbb/Hcc8/h1q1bAGzzZgYCX375JeRyOU6ePOlrKU3mm2++waRJk7B+/Xrcvn3b13KaxK5du9CtWzc89thjOHHihK/ltG2DdfXqVYwePRr33XcfBg4ciGHDhmH37t2wWCxgGMavK6GsrCwkJyfjqaee8rWUJpGRkYGpU6di2rRp6NKlC8aPH4+TJ0/69b22k5GRgYkTJ+LBBx9EcnIyBg4ciPfee48vL/7OoUOH8Pvf/x6fffYZvv/+ewBocLJRX3PhwgUMHz4cCxcuxNSpUwNqbj2lUompU6di7ty5EIvFkMlkkMlkvpbVKOz3fd68eZDL5ZBKpTAajb6WBZA2ikqlIoMHDyb33HMP2bp1K9m6dSsZMWIEUSgUZMWKFYQQQjiO861IF3AcR1JSUkjPnj0JwzCEYRhy9OhRX8tqEIvFQt577z3Srl07Mm7cOPLGG2+Q5557jsTHx5PevXv79TWYTCaydu1aolAoyLhx48j7779PvvzySzJ+/HgSGhpKvvnmG19LrBd7OU5LSyORkZEkKCiIDB8+nFy8eJEQQojVavWlPJfo9XqyYMECwjAMGTduHPn222+JSqXytawmsWLFCtKnTx+yc+dOcufOHV/LaRQajYbMnTuXMAxDxo8fT7799luyb98+IpVKydtvv00Isb3LvqLNGqxdu3YRoVBIUlJS+G15eXnkD3/4A2EYhhw+fNiH6urm5s2bpH///iQyMpKsWbOG9O3bl4wYMYKYzWZfS6uX/fv3k65du5KFCxeSzMxMfvvJkycJwzDk1Vdf9dtr2LdvH0lKSiKLFy8m165d41/Y69evE4ZhyL/+9S+/bNzUJCUlhUyaNIl89NFHhGEY8tprr/HX4k/6LRYLWbt2LWEYhjz99NOkuLi4zrLhT7oduXPnDomOjiYvvvhire2O+JP+yspK0qNHD9K1a1fy4YcfkpycHEIIIbdu3SLh4eFkxowZPm/ctFmD9c9//pOEhYXxD8BkMhFCbK3QYcOGkf79+/tliy4nJ4e89tprfOv4gw8+IAzDkC1btvhYWf28++67pE+fPqSoqIjfZjQaCSGEjBgxgkycOJEQ4l8vsJ0TJ06Qd955x0k7IYTs2bOHtG/fnnz11VeEEP/UTshdXadPnyZhYWGEEELuv/9+EhMTQw4dOuR0jL9w7tw5MmrUKNK7d29+27fffkvmzZtHXnnlFbJ161a+/Pgjx44dIzKZjFy7do0QQsinn35K+vbtS/r27UumT59OvvjiCx8rdMZeD546dYpcunSJrw/tDB06lIwfP54YDAaflpVWb7DsD6LmTV6/fj2Ry+Xkp59+IoQQp5bmV199RSQSCXnzzTddftdb1KXdYDDw/87KyiKTJk0icXFxpKSkxKv66sJRt6P2rKwsp/2E2O77+PHjyejRo0lVVZV3hbqgrntek+PHj5P+/fuT0NBQsnLlSvLbb7+R8vJyp3N4m4a0p6SkkO7duxNCCLlw4QJhGIbMmzePlJWV1fu9lqYu3XZP8OWXXyaTJk0iDMOQ7t27E7lcThiGITNmzCCXLl1yOoe3qUv7uXPniFAoJHv27CFbt24lLMuSWbNmkXnz5pH27dsThmHItm3bfKD4Lo0p6xzHEavVSv785z+TsLAwvoz7qqy0WoNl73eo6XnYb/ShQ4eIRCIhK1eu5LfZH2BhYSGZPXs2adeunU9acXVpr4uvvvqKBAUFkVdeeaWFldVPU3XbDdrgwYPJH/7wB36bL2iMdnv5ePXVVwnDMGTChAlk3rx55MknnyQKhYI8+uij3pLrREPa7ff0zJkzRC6XE6VSSQgh5MknnyQSiYRv7VdWVnpHcDUNvaM5OTlk1qxZhGEYcu+995L9+/eTnJwckp+fT/7v//6PsCxLHnnkEa9qttPQPT937hyJiooic+bMIQMHDiSvv/460el0hBBCMjIyyOTJk0lkZCS5evWqN2UTQpr+nhJCyOuvv04YhiHfffddCyprmFZpsI4dO0b69etHGIYhkyZNIleuXCGE1K4Mk5KSyODBg8lvv/1Wa//OnTuJUCgkH374ocvv+lq747aioiKycOFCIpVK+Rantyv+puh2JDc3lwQHB5N169YRQnzTodtY7fbPe/bsIV999RUpKSnhty1btoywLEveeustQoj3WvxNue9ff/016dmzJx/q1mq1RCaTkQkTJpAFCxaQJ554gjdm/qJ7586dZP78+eTkyZO19j3++OMkLCyMr0T97R0dNWoUYVmWREVFkVOnTjntO3jwIImIiCAvvfQSIcQ/y4ujruPHjxOGYcjXX39d7/EtTaszWL/88gvp3bs36dy5M3nkkUcIwzDkn//8p1Onrb1S/PbbbwnDMGTNmjV8OMq+Lysri8TFxZFFixZ5rTA1Rntd/Pjjj6Rjx47k97//vReUOtMc3ceOHSMMw5ADBw54QWltmqK9vpf0+vXrpHv37mTgwIFOIduWpLHa7bqPHz9OZDIZyc3N5fc99thjRCAQEJFIRFasWEEqKir8Qrdds0ajqdV3aD/u119/JQzDOEVJ/EG7vQ7Zv38/n8lr96TsEZuioiIyZcoUEh8f73flxRWXLl0i4eHh5IUXXiCEUIPlMa5cuUIkEgn573//SwghZMyYMaRHjx7k5MmTLo9/4IEHSGxsLElNTSWEOLfw+/XrR+bOnUsI8c4Daqp2R10VFRW82/7jjz8SQgj5+eefybfffut0nL/otrNp0yYiFAr5cInFYiE3b94k586da3HdhDRPOyHOLeORI0eSESNGeK0Cqql97Nix9WrftWsX6dWrF1Gr1eSnn34io0ePJgKBgISGhpLu3buT48ePE0L8957XDN0XFxcThULh1VB4U7U//vjjhGEY8swzzxBCiJNxmDVrFunbty/RaDQtL5w0r6wXFRWRhIQEct999xGtVtvSUuukVRksu7FxbJHZW/AvvvgiXzAcK5mcnBwSEhJCRowYQc6fP89v//XXX0loaChZtWqVX2l3VZnYryczM5MkJSWRAQMGkFWrVpH4+HgSGRnZotmOzdFNCCHTpk0j99xzDyHEFh78/PPPyeDBg0lSUhIpLS1tMd3N1V7T6z5w4AARiURk8eLFLaj4Lk3Rbtf/448/ErFYTB588EEiEAjIqFGjyLFjx8jXX3/NV6ot3WfryXu+adMmwjAM+c9//tOCiu/iTv2Sm5tLQkNDa0URLl++TLp160bmzJnjlcawJ+77jBkzSL9+/UhFRQX1sJrKrl27yDPPPEP+8Y9/kGPHjvHbHW+k/UbPmzePKBQKsnfvXqdz2B/i9u3bSadOnUiXLl3Ie++9R7Zs2UKmTZtG4uPjSUZGhl9qd0VOTg6ZP38+H4Z4+OGHncI//qSb4zii0+lITEwMefTRR8nhw4fJQw89RBiGIVOmTCF5eXke0+1p7Y4olUqSmppKxo0bR/r27cv3h/qj9pMnT5LExETSp08fsnHjRpKbm8u/A6NGjSJPP/20Rw1WS93zwsJCsmfPHpKYmEjGjRvXItmxnqxfdu3aRWJiYkhERAR5+umnyZtvvkl+97vfkfDw8BYJhbfEfec4jqxZs4YwDMNn+/rCaAWcwSosLCSTJ08mwcHBJCkpiYSHhxOJREJWrFjBp1zWHAyZl5dHQkJCyIwZM/gK3Gq1Ot3wo0ePklGjRpGwsDASGRlJEhMTyYkTJ/xWe02OHz9OpkyZQliWJYMHD250SMuXum/cuEFkMhlJSkoiISEhpFevXnw409+1Hz16lDz99NNk1qxZRC6Xk4EDB5KzZ8/6pXZ7GMpkMpFjx46R3377jTdM9u95ckhBS97zP/3pT+Sxxx4jISEhJCkpiR+P6I/aHeuXkydPksmTJxOFQkHat29PBg8e7GRM/E27K9avX08YhnGabMHbBJzB2rFjB4mIiCA7d+4kSqWSlJaWkvnz5xO5XE6ee+65WsfbH8zatWsJy7Lk448/dipIjv+uqqoiKpXK4xVPS2l35PDhw0QsFpONGzcGjO4jR44QhmFI+/btW0R3S2pPTU0l3bt3J+PHjydbt24NGO3eaBW31D1PSUkhISEhZPjw4S0WBmzJ+sVoNJLy8nKSnp4eENrt2A1YQUEB2b59e4tobywBZ7DGjRtHRowY4bStsrKSzJs3jzAMQ/bt20cIqd1KMJlMpFu3bmT48OH86PObN286xXRbOhuwJbUT0nIp4Z7W7dintnnz5lqj6gNF+82bN1u0zHhS+40bN2qVl0DQXfOep6ent+jQB1q/uNbuLzOhBIzBslqtxGAwkMmTJ5NRo0bx2+3hjrS0NJKcnEy6du1a6+bWTGN/9dVXybZt20hSUhJ58cUXW3zAZKBqb0ndLZ1p1JLaWzr1uyW16/X6gNQdyPec1i+ewy8N1tWrV8lLL71EXnjhBbJ8+XLe6hNCyPTp00mvXr34zm3H1sLHH39MGIYh69evJ4TU9jjMZjMZOnQoEQgEhGEYEhMTQ/bv30+1B7Buqt032gNVN9XuO+2ewK8MltFoJEuXLiVBQUFkyJAhpEePHoRhGNK1a1d+7EBKSgphGIZs3bqVfyD2m3/79m1y3333kS5dutTqVD5//jxZvnw5CQkJIXK5nGzYsIFqD2DdVDstL1R7YGj3JH5jsHQ6HXnttddI165dyT//+U+SlZVFrFYrOXz4MImNjSVjxowher2eWCwWMnDgQDJ27Fhy+/btWudZuXIlUSgUfLyWENuDef755/nJPu2DVNu69kDVTbX7Rnug6qbafafd0/iNwcrOziZdunQhzzzzDFGr1U77nnnmGdKuXTt+9oPPPvuMMAxD3n33XT7Gam81XLhwgbAsS/bs2UMIuRvHPXPmDD9vFtUe2LqpdlpeqPbA0O5p/MZgcRxHPv74Y6dt9uyxr7/+mgiFQn4+LrVaTWbMmEE6dOhQa8DbmTNnCMMwZMeOHd4RTgJXe6DqJoRqJ4SWl6ZAtftGu6fxG4NFyF2LX7ND8K233iICgcBppdrc3FwSHR1N+vXrx3cO5ufnk+eff54kJCSQwsJC7wkngas9UHUTQrXT8tI0qHbfaPckfmWwamLvOHzppZdIhw4d+FaF/aEdOHCAJCUlEYZhyKBBg8jIkSOJSCQiq1atIhaLxadjBwJVe6DqptppeaHaA0N7c2AIIQR+zpAhQ9C5c2ekpKTAarVCIBDw+0pKSvDJJ5/g5s2b0Gq1eOmllzBy5EgfqnUmULUHqm6AavcFgaoboNoDCl9bzIYoKioiQUFB/MJ4hNhaF/Zlvf2ZQNUeqLoJodp9QaDqJoRqDzRYXxvMhrh06RIMBgOGDh0KACgsLMQXX3yByZMno7i42Mfq6idQtQeqboBq9wWBqhug2gMNvzVYpDpSefbsWYSFhSE2NhZHjx7Fc889h4ULF4IQApZl+eP8iUDVHqi6AardFwSqboBqD1i858y5x4wZM0i3bt3I008/TeRyOenRowc5ePCgr2U1ikDVHqi6CaHafUGg6iaEag80/NpgVVVVkUGDBhGGYUhoaCg/D1YgEKjaA1U3IVS7LwhU3YRQ7YGI32cJvvrqq2AYBqtWrYJEIvG1nCYRqNoDVTdAtfuCQNUNUO2Bht8bLI7jwLJ+29VWL4GqPVB1A1S7LwhU3QDVHmj4vcGiUCgUCgXw4yxBCoVCoVAcoQaLQqFQKAEBNVgUCoVCCQiowaJQKBRKQEANFoVCoVACAmqwKBQKhRIQUINFoVAolICAGiwKhUKhBATUYFEoFAolIKAGi0KhUCgBATVYFAqFQgkI/h+GhpDrXZgsRwAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -511,22 +507,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -548,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -671,7 +665,7 @@
        "16           0.971602      18   True  "
       ]
      },
-     "execution_count": 71,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -691,17 +685,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning:\n",
-      "\n",
-      "The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[13:58:56] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0fdc6d574b9c0d168-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:888: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n"
      ]
     }
    ],
@@ -724,7 +723,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -810,7 +809,7 @@
        "2010-02-25 14:20:00-07:00         True  "
       ]
      },
-     "execution_count": 73,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -822,7 +821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -836,7 +835,7 @@
        "Freq: T, dtype: bool"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -848,7 +847,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -61399,6 +61398,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -61410,6 +61414,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -61608,9 +61617,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -61746,11 +61756,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -61928,6 +61937,7 @@
            "arrowhead": 0,
            "arrowwidth": 1
           },
+          "autotypenumbers": "strict",
           "coloraxis": {
            "colorbar": {
             "outlinewidth": 0,
@@ -62228,12 +62238,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62259,7 +62269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62278,7 +62288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62293,7 +62303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62312,12 +62322,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]

From 9e359dc8fe312aada1df05aa3e57fcc91db7da83 Mon Sep 17 00:00:00 2001
From: martin-springer <martinspringer.ms@gmail.com>
Date: Mon, 29 Apr 2024 14:36:51 -0400
Subject: [PATCH 24/27] restart kernel and re-run TrendAnalysis notebook

---
 docs/TrendAnalysis_example_pvdaq4.ipynb | 74 ++++++++++---------------
 1 file changed, 28 insertions(+), 46 deletions(-)

diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example_pvdaq4.ipynb
index 991b2a9f..08baff10 100644
--- a/docs/TrendAnalysis_example_pvdaq4.ipynb
+++ b/docs/TrendAnalysis_example_pvdaq4.ipynb
@@ -140,7 +140,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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cAO3mHZV9+sXxylgexfdwLcXc5pbZs5V5ToRalbb8Sp8R9dpr2tw7VVUB0el0YnNUUfrjFMaaqPRWr16Nfv36YerUqWjatCkCAgLQrl078cyqmjVLP/PEzs4OEydOxP3793HmzJlShwsPD0dmZqb4qqynkqmBnFeja/3URWOazPyq0uY1yQ1o8Ne/Sgks9i+rmlR1Fpa7uztu3rxZont6ejoAwMOj9MOQzs7O2LlzJ1JSUpCcnIyGDRuiYcOG6Nq1K9zc3ODi4lLmvPV7E3/+WdolV08Pnln6AFplkPPsmMqixcyW8q9/BeFfCmeIUXgDgIgMTpgpiyW+O/x9fMqkAvL666+bPWFBEBAVFWXWOB06dMChQ4eQlZVlcCA9MTFR7F+eBg0aoEGDBgAg7lEMHTq03PGuXr0KAHBzU3CzzogdO/Zi0CBlfqz8IymbVt4fJXNuHuyKr9KAl2U4Ba3ocjQO32d1e7FaZFIB+e6770yu9nrmDg8AwcHB+PDDD/HZZ5+J14Hk5ubiiy++gJ+fn7iXkJKSgsePH6Nly5ZlTi88PBz5+fn45z//KXa7fft2iSLx4MEDfPzxx3B1dUWnTp3Mzm1Jb58EBg1SOoX5Gs3Ya9EfuKWnXxmePHkiHqNTkiXfSz8/P/hZZMrq0n/GXuzR+PdRCpMKSHJysoVjPOXn54eQkBCEh4cjIyMDXl5eWLt2LZKTkw32ZkJDQ3HkyBEQkdhtwYIFuHDhAvz8/FCtWjXs2LED33zzDebOnYvnnntOHG7FihXYsWMHBgwYgAYNGiA9PR3R0dFISUlBbGws7OzsKmVZmXY8N2OveHKDnB4/AZwVqB9a2GvSmgtKB1CIqo6BAMC6desQERGB2NhY3Lt3D97e3tizZw8CAgLKHK9du3bYvn07du3ahYKCAnh7e2PLli0ICQkxGK5bt244fvw41qxZg7t376JGjRrw9fVFdHQ0evbsaclFM5lWmkaKexHAtxacvlLvy20LTbf9+98othd1cVZPtIr8TpF5K0Hre6tqpaqzsICnp+wuWrQI6enpyMnJwalTp9CnTx+DYQ4fPmyw9wEAQUFBSExMRFZWFh49eoQTJ06UKB7A03tgffPNN0hPT0deXh7u3buH/fv3q6Z4KEGulXJUJf9ILVlMLLXCUWpF1rnY32Wd0chMw0WpAgXkq6++Qq9evVC3bl1Uq1YNtra2JV6MMXWI55UdswBJBWTr1q3o378//vjjD7z66qsoLCzEiBEj8Oqrr0Kn08Hb2xv/+c9/5M7KZLRhgIvSEVgls9ZrcKyRVpqwJRWQ+fPnw9fXF0lJSYiMjATw9FTfDRs24MKFC0hPT0fjxo1lDVqVWeLL1K1bN9mnWRl45cf0JqlsJauVlb6cJBWQX375Ba+++ipsbW1RrdrT4/BPnjwBADRq1AgTJkzAwoUL5UvJVGHzZvX9QEx92BizPruVDiAzLW4cSSogjo6O4umuLi4usLe3F68WB4D69evj2rVr8iRkqjE9SekEJY39Nk/pCEwhanj8m6/SARQmqYC0aNECv/zyi/h3hw4dEBsbi/z8fOTk5GDjxo3i1eBMmsreGrHE7ndV3KU3F79H5kleEIStIc/gzW7PICzkGaXjYIsG9xrkJKmADB48GDt37hRvfPjuu+/i8OHDcHFxgZubG44dO4YZM2bIGpQpQ4271WrMBAAff8zFoDIcSDP8lylHUgGZOnUqUlJSxBsL9u/fH4cPH8bYsWMxfvx4fPvttwgLC5MzJ2Oq9/EtpRNUDa3pFn67eQutSX1veFXbo5TtQsIXXngBS5YswYcffogePXrINVn2F0t8MS2xJa/E3oGSP1opy6vGPSgtrfgmHwe+TX76L1OW6q5EZ0yNfvrpJ6UjyK6e0gGY5kkqIESE1atXw9fXF66urkavQtef3suYJcj/LMiyDdiQUslztLxTKtwT0iI17lFWFklr+WnTpmHx4sXo0KEDRo0ahdq1a8udi0G7N1WsDMf4vWFMcZIKyNq1azF06FBs2bJF7jxMQVp+xoYlsnMBVz81fmfVmMlSJDVhZWdn46WXXpI7C2OMsb9oYeNFUgF58cUX8cMPP8idhWmAFr7UWlP80QSsbP/1UToB05NUQFauXImTJ0/igw8+wN27d+XOxEqhlVN5i9LiMzsqw7Zh7uL/G4fvUzCJ9gwbpr7PXa7vota+05JvZXL16lVERESgXr16qFGjBpycnAxezs7OcmdlrExa2jvy8eHNaKZ9kg6iDx06FIIgyJ2FqZS5B5MXdABmnLVYHMY0t6VurSQVkJiYGJljsNJo8UygV18NwoyzlZNZi+8Ps04XZvdB29n7AVSdM7H4SnTGGABtNQGqkUMVvHZa0iKvW7euzP6CIMDBwQHPPvssfHx8xJsuMvXT+paT0vmVnj9TTlW8+4akJQ4LCxOPgRQ/BbFod0EQ4OTkhPDwcEybNq2CURmzLj/8yxeXbwMt3JTLwE2ArCIkNWGdPXsW3t7e6NGjB7Zu3Ypz587h3LlziI+PR2BgIDp06ICEhARs3boVPj4+CA8Px6pVq+TOXiVp8VRea1Haey/1/XNzc8Oodafw3EeneCXONElSAVmyZAnq16+PgwcPYvDgwWjXrh3atWuHIUOG4ODBg3Bzc0NUVBQGDRqEAwcOwN/fHytXrpQ7O2MAuAAydaoKGwWSCsiOHTswcOBAo/0EQcArr7yCbdu2PZ2BjQ2GDh2K33//XXpKxhTSROkAjKmYpAJSWFiIy5cvl9r/0qVLKCwsFP+2t7eHg4ODSdPOzc3F9OnT4eHhAZ1OBz8/Pxw4cMCkcePi4uDj4wMHBwe4ublhzJgxuHPnjtFho6Ki0KpVKzg4OKBZs2ZYtmyZSfNQQvKCIIOX0szdstLylth3Kni/mXbI/fsMU/lvR1IBeeWVV7By5UosX74cOTk5YvecnBwsW7YMn376KQYMGCB2P3HiBLy8vEyadlhYGBYvXoyRI0di6dKlsLW1Rb9+/fD999+XOd6qVaswYsQI1KlTB4sXL8bYsWMRFxeHF1980SAjAKxevRpvvPEG2rRpg2XLlqFLly6YPHkyFi5caMa7wNRETQWWMbkcVjpAOSSdhbV06VJcuXIFkydPxtSpU+Hu/vS+Punp6cjLy4Ovry+WLl0K4GlR0el0eOedd8qd7qlTpxAXF4dFixZh6tSpAIDQ0FC0bdsW06ZNw/Hjxp9hmZeXh5kzZyIgIAAHDhwQzwTr2rUrBgwYgM8//xyTJk0C8PROwu+++y6CgoIQHx8PABg7diwKCwsxZ84cjBs3rso/38TYqahH/tEW3VddMHkaHQCclTUVY1VPoNIByiFpD6ROnTpISEhAfHw8Ro8ejRYtWqBFixYYPXo04uPjcfz4cdSpUwcA4ODggM8//xwjRowod7rx8fGwtbXFuHHjxG4ODg4YM2YMTpw4gdTUVKPjXbhwAffv38fw4cMNbrHSv39/1KxZE3FxcWK3Q4cO4e7du5gwYYLBNN566y08evQIe/eqe5dRKQ0bNjRr+B28J2CSvxX7l1kXKc23RfemY1T+O5J85YsgCBgyZAiGDBkiW5ikpCQ0b94cTk5OBt19fX0BPD192NOz5MNMc3NzAQA6na5EP51Oh6SkJBQWFsLGxgZJSUkAgM6dOxsM16lTJ7H/qFGjjObLzc0V5wUAWVlZZiyduvUCYNqRJianBJWvIBgri6puZZKeni42hxWl75aWlmZ0vGbNmkEQBCQkJBh0v3z5Mm7fvo3s7Gzcu3dPnIetrS3q1atnMKydnR3q1q1b6jwAYP78+XB2dhZfxoqZVn3OKzIG4Ny5c0pHYBpi0h5I48aNYWNjg0uXLqF69epo3LhxuXfjFQQBV65cMStMdna20due6M/gys7ONjqeq6srhg0bhrVr16JVq1YYPHgwbt68iUmTJqF69ep48uSJOG52djbs7OyMTsfBwaHUeQBAeHi4wbGcrKwsqyoijA3cdAPJ7dsrHUPTqtLV/SYVkO7du0MQBNjY2Bj8LTedTmfQRKSnP4vKWBOV3urVq5GdnY2pU6eKB+BHjRqFpk2bYtu2bahZs6Y4jby8PKPT0B/wL429vT3f14sxxv5iUgEpfvt2S93O3d3dHTdv3izRPT09HQDg4eFR6rjOzs7YuXMnUlJSkJycjIYNG6Jhw4bo2rUr3Nzc4OLiIs6joKAAGRkZBs1YeXl5uHv3bpnzYMwUX365FyEh2mkSrEpbzEp4e8ZefGylTcSqOgbSoUMH/PrrryUOTicmJor9y9OgQQMEBASgYcOGuH//Ps6cOYOXXnrJYB4AcPr0aYPxTp8+jcLCQpPmURWUt0LZv3+/WdOLiLCOFdTMmeUvx7/PVEIQphk7lA5gQZJvprhp0yaDbvv370dAQAD8/PzEa0DMFRwcjIKCAnz22Wdit9zcXHzxxRfw8/MTjzekpKTg0qVL5U4vPDwc+fn5+Oc//yl269mzJ+rUqVPi5o6rVq2Co6MjgoKsc0tBbuMP5Zs1fOwTCwWpZBsLjXf/6LnKzcGYGkg6jXfatGlwdHQUr+24du0aBg8ejLp168LDwwPvvPMOdDqdwfUcpvDz80NISAjCw8ORkZEBLy8vrF27FsnJyYiKihKHCw0NxZEjRwxuJb9gwQJcuHABfn5+qFatGnbs2IFvvvkGc+fOxXPP/e/XrdPpMGfOHLz11lsICQlBnz59cOzYMaxfvx7z5s0Tr19hzBxDhwbhXz9Yx14Wq7iq0iwoqYCcO3cO//73v8W/161bB1tbWyQlJcHV1RXDhw/Hp59+anYB0U8rIiICsbGxuHfvHry9vbFnzx4EBASUOV67du2wfft27Nq1CwUFBfD29saWLVsQEhJSYtgJEyagevXq+Oijj7Br1y54enpiyZIlmDJlitl5rUl5twEx90dhLT8ia1kOxuQmqYBkZmaibt264t/79u1Dr1694OrqCgDo1asXvvrqK0mBHBwcsGjRIixatKjUYQ4fPlyiW1BQkFnNT2PHjsXYsWOlRGSMMbNY65MqJR0DcXd3x8WLFwE8PUPqzJkz6N27t9j/4cOH4im/jDHGrJOkPZCBAwdi2bJlyMnJQWJiIuzt7TF48GCx/7lz59CkCT9JgTHGrJmk3YS5c+diyJAhiI2NRUZGBmJiYlC/fn0AT6/Ojo+PN9gjYYxpBx/vkYc1NlkVJ2kPpGbNmtiwYUOp/W7cuAFHR8cKBWOMMaZuku/GWxobGxs4OzvLPVnGGGMqw0e6WaWx9qaRpV2Ang2f/qs1VaG5RWnW+P2XfQ+EVR0xMXsRFsYrHr2BA4MwUOkQjFUi3gNhks0u/24yjFVp1r55xQWEmeV5M4e3xqYRa2yKYJaxwgq//0VxAWFmWW/lPwjGmOkkHQM5evRomf0FQYCDgwOeffZZo4+oZYyxqsjabmkiqYAEBgaa/ETCZs2aITIyEsOHD5cyK2YFrOEHwzdUZKwkSQXk66+/xvTp05Gbm4uxY8fCy8sLAPDbb79hzZo10Ol0eO+993D9+nWsXr0ar732GmxtbREcHCxreMYYY8qRXEAcHByQmJgIOzs7g34TJkxAYGAgTp48iYULF+LNN99E586dsXDhQi4gjLEqx5r3XiUdRN+wYQNee+21EsUDeHo79pEjR2Lt2rXi36NGjcIvv/xSsaSMsUpjrSs8Ji9JBeTRo0f4448/Su2fnp6Ohw8fin+7uLjA1tZWyqwYY8yqTLKi4iypgPTs2RMff/wx9uzZU6Lf7t27sXTpUvTs2VPsdvbsWTRq1EhySMaY5VnDyQ5asFvpADKSdAxk+fLl6NGjBwYOHIi//e1vaNq0KQDgypUruHnzJho2bIhly5YBAHJycpCSkoI33nhDvtRMNXrN2IsDvOJhrEqSVEAaNGiAn376CZ9++in279+P69evAwBatWqFt99+G+PHj0eNGjUAPD0Gsm/fPvkSM1X5TekAjGmAtR5Il3wzRUdHR7zzzjt455135MzDNOADb2DmeaVTMMaUxrcyYWZ77TVusmLMXHtGNcS0ng2xZ1RDpaPIRvIeyP79+xEVFYWrV6/i3r17ICKD/oIg4MqVKxUOyJgaWdstKZjltW3bFm3bKp1CXpIKyKJFizBjxgzUr18fvr6+aNeundy5GGOMqZykAqI/TXffvn2oXr263JkYY4xpgKRjIPfu3UNwcLBFikdubi6mT58ODw8P6HQ6+Pn54cCBAyaNe/DgQfTo0QOurq5wcXGBr68vYmNjSwwnCILR14IFC+ReHGZFuMmKMUOS9kB8fX1x+fJlubMAAMLCwhAfH4+3334bzZo1Q0xMDPr164dDhw7h+edLf5zRrl27MGjQIHTp0gWzZ8+GIAjYsmULQkNDcefOHfzzn/80GL5Xr14IDQ016NaxY0eLLBNjWsTHeVh5JBWQlStX4uWXX0bnzp3x2muvyRbm1KlTiIuLw6JFizB16lQAQGhoKNq2bYtp06bh+PHjpY67fPlyuLu747vvvoO9vT0AYPz48WjZsiViYmJKFJDmzZtj1KhRsmVnjLGqRlIT1vDhw5Gfn4//+7//g7OzM9q0aQNvb2+DV/v27c2ebnx8PGxtbTFu3Dixm4ODA8aMGYMTJ04gNTW11HGzsrJQu3ZtsXgAQLVq1eDq6gqdTmd0nOzsbOTk5Jidkxmyxgukqire42DmkFRA6tSpg2bNmiEgIAA+Pj6oV68e6tata/CqU6eO2dNNSkpC8+bN4eTkZNDd19cXwNN7apUmMDAQP//8MyIiIvD777/jypUrmDNnDk6fPo1p06aVGD4mJgY1atSATqdD69atsXHjxnLz5ebmIisry+DFGGNVlaQmrMOHD8sc46n09HSjj8DVd0tLSyt13IiICFy7dg3z5s3D3LlzATy9Wn7r1q0YOHCgwbBdu3bFsGHD0LhxY6SlpWHFihUYOXIkMjMz8Y9//KPUecyfPx+RkZFSFo0xxqyOqq5Ez87ONmiC0nNwcBD7l8be3h7NmzdHcHAwNm3ahPXr16Nz584YNWoUTp48aTBsQkICpkyZgldeeQVvvvkmzpw5g7Zt22LmzJllziM8PByZmZniq6wmNWvHTR2MMZP2QI4ePQoACAgIMPi7PPrhTaXT6ZCbm1uiu/44RWnHMgBg4sSJOHnyJH788UfY2Dyti8OGDUObNm0wZcoUJCYmljqunZ0dJk6cKBaT0s72sre3N1rgGGOsKjKpgAQGBkIQBGRnZ8POzk78uzREBEEQUFBQYFYYd3d33Lx5s0T39PR0AICHh4fR8fLy8hAVFYVp06aJxQMAqlevjpdffhnLly9HXl6e0Sco6nl6egIA/vzzT7MyM8ZYVWVSATl06BAAiCtg/d9y69ChAw4dOoSsrCyDA+n6vYcOHToYHe/u3bvIz883WrCePHmCwsLCcovZ1atXAQBubm4S0zPGWNUiUPG7ICooMTER/v7+BteB5Obmom3btqhbt654LCMlJQWPHz9Gy5YtAQAFBQVwdXVFvXr18NNPP4mF7uHDh2jVqhVq1qyJixcvAgBu375dokg8ePAAHTt2RGZmJm7evFnmnkpRWVlZcHZ2RmZmZokzx6qCoqfv8jER68Gfa9VmznpN8t14LcHPzw8hISEIDw9HRkYGvLy8sHbtWiQnJyMqKkocLjQ0FEeOHBHvAGxra4upU6fivffeg7+/P0JDQ1FQUICoqCjcuHED69evF8ddsWIFduzYgQEDBqBBgwZIT09HdHQ0UlJSEBsba3LxYIyxqs6kAvL666+bPWFBEAxW+qZat24dIiIiEBsbi3v37sHb2xt79uwp94D8u+++i8aNG2Pp0qWIjIxEbm4uvL29ER8fj6FDh4rDdevWDcePH8eaNWtw9+5d1KhRA76+voiOjjZ4jjsrH2+dMla1mdSE1ahRozIPmhudsCCIxxWsVVVvwmLWqfidBXhDoWqRvQkrOTlZjlyMMcasiKouJGSMKY/3OJipuIAwxhiTxKQmLBsbG9jY2ODx48ews7ODjY1NucdEBEFAfn6+LCEZY4ypj0kF5D//+Q8EQUC1atUM/maMMVZ1mVRAZs+eXebfjDHGqh4+BsIYY0wSyQUkKysLkZGR8PX1Rf369VG/fn34+vri/fff5wctMcZYFSCpgKSlpaFjx46IjIzEw4cP0a1bN3Tr1g2PHj3C7Nmz4ePjI95BlzHGmHWSdC+s6dOn49atW9izZw/69etn0O+rr75CSEgIZsyYgbVr18oSkjHGmPpI2gP5+uuv8fbbb5coHgDw8ssvY/Lkydi3b1+FwzHGlHf27FmlIzCVklRAHj16hPr165fa/5lnnsGjR48kh2KMqceguJIPeWMMkFhAWrdujU2bNiEvL69EvydPnmDTpk1o3bp1hcMxxpTxaaCt0hGYBkg+BjJ8+HD4+vpiwoQJaN68OQDg8uXL+PTTT3H+/Hls3rxZ1qCMscrTt29f4PDe8gdkVZqkAhISEoJHjx5hxowZePPNN8Wr0okI9erVQ3R0NIKDg2UNyhhjTF0kP5EwLCwMo0aNwunTp3H9+nUAQMOGDdG5c2fxlieMMcasV4XW9NWqVYO/vz/8/f3lysMYY0wjJB1EP3v2LDZt2mTQbf/+/QgICICfnx+WLl0qSzjGGGPqJamATJs2zeAg+bVr1zB48GBcu3YNAPDOO+/gs88+kychY4wxVZJUQM6dO4fnn39e/HvdunWwtbVFUlISEhMTERwcjE8//VS2kIwxxtRHUgHJzMxE3bp1xb/37duHXr16wdXVFQDQq1cv/P777/IkZIwxpkqSCoi7uzsuXrwIAEhPT8eZM2fQu3dvsf/Dhw9hY8N3imfMWty+fVvpCEyFJJ2FNXDgQCxbtgw5OTlITEyEvb09Bg8eLPY/d+4cmjRpIltIxpiynvvoFJIXBCkdg6mMpAIyd+5c3L59G7GxsXBxcUFMTIx4b6ysrCzEx8fjrbfekjUoY4wxdZHUzlSzZk1s2LAB9+7dw7Vr1xASEmLQ78aNG5gzZ46kQLm5uZg+fTo8PDyg0+ng5+eHAwcOmDTuwYMH0aNHD7i6usLFxQW+vr6IjY01OmxUVBRatWoFBwcHNGvWDMuWLZOUlzFrxXscrDyyH6iwsbGBs7MzqlevLmn8sLAwLF68GCNHjsTSpUtha2uLfv364fvvvy9zvF27dqF3797Iy8vD7NmzMW/ePOh0OoSGhmLJkiUGw65evRpvvPEG2rRpg2XLlqFLly6YPHkyFi5cKCkzY4xVRQIRkdIh9E6dOgU/Pz8sWrQIU6dOBQDk5OSgbdu2qFevHo4fP17quL1798bPP/+Mq1evwt7eHgCQn5+Pli1bokaNGjh37hwAIDs7G56envD398eePXvE8UeNGoUdO3YgNTUVtWvXNilvVlYWnJ2dkZmZCScnJ6mLzZhqNZrxvxsq8h5J1WDOek1Vp0rFx8fD1tYW48aNE7s5ODhgzJgxOHHiBFJTU0sdNysrC7Vr1xaLB/D0Viuurq7Q6XRit0OHDuHu3buYMGGCwfhvvfUWHj16hL17+Q6kjDFmClUVkKSkJDRv3rxE1fP19QVQ9pPRAgMD8fPPPyMiIgK///47rly5gjlz5uD06dOYNm2awTwAoHPnzgbjd+rUCTY2NmJ/Y3Jzc5GVlWXwYoyxqkpVt81NT0+Hu7t7ie76bmlpaaWOGxERgWvXrmHevHmYO3cuAMDR0RFbt27FwIEDDeZha2uLevXqGYxvZ2eHunXrljmP+fPnIzIy0qxlYowxa6WqPZDs7GyDJig9BwcHsX9p7O3t0bx5cwQHB2PTpk1Yv349OnfujFGjRuHkyZMG87CzszM6DQcHhzLnER4ejszMTPFVVpMaY4xZO1Xtgeh0OuTm5pbonpOTI/YvzcSJE3Hy5En8+OOP4lXww4YNQ5s2bTBlyhQkJiaK0zD2KF79fMqah729vdECxxhjVZGq9kDc3d2Rnp5eoru+m4eHh9Hx8vLyEBUVhaCgIINbqFSvXh0vv/wyTp8+LRYNd3d3FBQUICMjo8Q07t69W+o8GKvqPvqITzBhhlRVQDp06IBff/21xMFp/d5Dhw4djI539+5d5Ofno6CgoES/J0+eoLCwUOynn8bp06cNhjt9+jQKCwtLnQdjVd0yvh0WK0ZVBSQ4OBgFBQUGzxLJzc3FF198AT8/P3h6egIAUlJScOnSJXGYevXqwcXFBdu3bzdonnr48CF2796Nli1bik1TPXv2RJ06dbBq1SqDea9atQqOjo4ICuJz3RnTe4d3yFkZVHUMxM/PDyEhIQgPD0dGRga8vLywdu1aJCcnIyoqShwuNDQUR44cgf4aSFtbW0ydOhXvvfce/P39ERoaioKCAkRFReHGjRtYv369OK5Op8OcOXPw1ltvISQkBH369MGxY8ewfv16zJs3D3Xq1Kn05WZMrSZPDsLiGdx0xYxTVQEBnj6cKiIiArGxsbh37x68vb2xZ88eBAQElDneu+++i8aNG2Pp0qWIjIxEbm4uvL29ER8fj6FDhxoMO2HCBFSvXh0fffQRdu3aBU9PTyxZsgRTpkyx5KIxxphVUdWtTLSGb2XCqgK+nUnVotlbmTDGGNMOLiCMMcYk4QLCGGNMEi4gjDHGJOECwhhjTBIuIIwxxiThAsIYM1kjvqiQFcEFhDHGmCRcQBhjZdo82FXpCEyluIAwxsrk5+endASmUlxAGGOMScIFhDHGmCRcQBhjjEnCBYQxxpgkXEAYY4xJwgWEMcaYJFxAGGOMScIFhDHGmCRcQBhjZuH7YTE9LiCMMcYk4QLCGCtX8oIgpSMwFeICwhhjTBIuIIwxxiThAsIYY0wS1RWQ3NxcTJ8+HR4eHtDpdPDz88OBAwfKHa9Ro0YQBMHoq1mzZgbDljbcggULLLVYjDFmdaopHaC4sLAwxMfH4+2330azZs0QExODfv364dChQ3j++edLHe/jjz/Gw4cPDbpdv34d7733Hnr37l1i+F69eiE0NNSgW8eOHeVZCMas0NqXa2JnGjDQQ+kkTDVIRRITEwkALVq0SOyWnZ1NTZs2pS5dupg9vTlz5hAASkhIMOgOgN56660K583MzCQAlJmZWeFpMcaYGpizXlNVE1Z8fDxsbW0xbtw4sZuDgwPGjBmDEydOIDU11azpbdy4EY0bN0bXrl2N9s/OzkZOTk6FMjPGWFWlqgKSlJSE5s2bw8nJyaC7r68vAODs2bNmTevixYt47bXXjPaPiYlBjRo1oNPp0Lp1a2zcuFFybsYYq4pUdQwkPT0d7u7uJbrru6WlpZk8rQ0bNgAARo4cWaJf165dMWzYMDRu3BhpaWlYsWIFRo4ciczMTPzjH/8odZq5ubnIzc0V/87KyjI5D2OMWRtVFZDs7GzY29uX6O7g4CD2N0VhYSHi4uLQsWNHtGrVqkT/hIQEg79ff/11dOrUCTNnzkRYWBh0Op3R6c6fPx+RkZEmZWCMMWunqiYsnU5nsIWvpz9OUdqKvbgjR47g5s2bRvc+jLGzs8PEiRNx//59nDlzptThwsPDkZmZKb7MPSbDGGPWRFV7IO7u7rh582aJ7unp6QAADw/Tzh/csGEDbGxsMGLECJPn7enpCQD4888/Sx3G3t7e6B4SY4xVRaoqIB06dMChQ4eQlZVlcCA9MTFR7F+e3NxcbN26FYGBgSYXHAC4evUqAMDNzc3kcYgIAB8LYYxZD/36TL9+K5PFTyo2w8mTJ0tcB5KTk0NeXl7k5+cndrt+/TpdvHjR6DS2bdtGACgqKspo/4yMjBLdsrKyqGnTpuTq6kq5ubkm501NTSUA/OIXv/hlda/U1NRy14Gq2gPx8/NDSEgIwsPDkZGRAS8vL6xduxbJycmIiooShwsNDcWRI0eMVsgNGzbA3t4eQ4cONTqPFStWYMeOHRgwYAAaNGiA9PR0REdHIyUlBbGxsbCzszM5r4eHB1JTU1GrVi0IglCif1ZWFjw9PZGamlri1GS10EJGQBs5tZAR0EZOLWQEtJHT3IxEhAcPHpjUgqOqAgIA69atQ0REBGJjY3Hv3j14e3tjz549CAgIKHfcrKws7N27F0FBQXB2djY6TLdu3XD8+HGsWbMGd+/eRY0aNeDr64vo6Gj07NnTrKw2NjZ49tlnyx3OyclJtV8uPS1kBLSRUwsZAW3k1EJGQBs5zclY2vqzOIGMbcYzWWRlZcHZ2RmZmZmq/XJpISOgjZxayAhoI6cWMgLayGnJjKo6jZcxxph2cAGxIHt7e8yaNUvVp/5qISOgjZxayAhoI6cWMgLayGnJjNyExRhjTBLeA2GMMSYJFxDGGGOScAFhjDEmCRcQxhhjknABYYwxDVPyPCguIEwxfAIgU6PMzEylI5hk8+bNAGD0NkqVhQuIGZKSkpCSkmLwBVPbSvDx48dKRyjX1atX8fjxY9U/j/7cuXP47bffcOPGDbGb2j7vnTt3YsKECeLdpAsLCxVOZNymTZtQq1atEg9zU5Nt27ahd+/eWLJkCZKTk5WOU6q4uDg0bdoUI0aMwPfff69oFi4gJrh48SKef/55vPjii2jfvj18fX2xdetW5OfnQxAEVaxULl++jE6dOuGNN95QOkqpzp8/j6CgIAwYMACNGzdGYGAgEhISVPH+FXX+/Hn06tUL/fv3R6dOndC+fXt88skn4uetFgcOHMDgwYMRGxuLPXv2AHh6fzY1SUpKgp+fH15//XUEBQWp8nYfaWlpCAoKQmhoKOzs7ODo6AhHR0elY5Wgfy9Hjx6NWrVqwcHBwegD+CqVyfcur6L++OMP6tixI3Xt2pWio6MpOjqa/P39ycXFhWbNmkVERIWFhYrlKywspPj4eGrevDkJgkCCINDhw4cVy2NMfn4+ffLJJ+Tm5kbdu3en//znPzRhwgTy9PSkli1bqiZvXl4ezZs3j1xcXKh79+60bNky2rRpEwUGBpKTkxNt27ZN6YhE9L/v25kzZ6hu3bqk0+nIz8+Pzp49S0REBQUFSsYjIqLHjx/T3//+dxIEgbp37047d+6kP/74Q+lYRs2aNYtatWpFGzZsoJSUFKXjlJCZmUmhoaEkCAIFBgbSzp07ae/eveTg4EAffvghET39jSmBC0g54uLiqFq1ahQfHy92u3HjBg0fPpwEQaCDBw8qmI7oypUr1LZtW6pbty7NnTuXWrduTf7+/vTkyRNFcxX19ddfU5MmTej111+nS5cuid0TEhJIEASaPn26KvLu3buXfHx86O2336Zff/1V/FH+9ttvJAgC/fe//1V0Y6G4+Ph46t27N3366ackCALNnDlTzKxkzvz8fJo3bx4JgkBjx46l27dvl/r5Kv1+pqSkUP369Wny5MkluhelVM5Hjx5Rs2bNqEmTJrRq1Sq6fv06ERFdvXqVateuTUOGDFF0g4ELSDkWLlxIzs7O4oeUl5dHRE+3/nx9falt27aKblldv36dZs6cKW59rlixggRBoDVr1iiWqbjFixdTq1atDB7mpX9wl7+/P/Xq1YuIlF+ZfP/99/TRRx+VeOjY9u3bqV69erR582YiUj6nfv6JiYnk7OxMREQvvfQSubu704EDBwyGUcrp06epW7du1LJlS7Hbzp07afTo0TRt2jSKjo426+FtlnL06FFydHSkX3/9lYiI1q1bR61bt6bWrVvToEGDaOPGjYpl069zjh8/ThcuXBDXPXrPPfccBQYGUk5OjmKfNxeQv+g/rOIfxJIlS6hWrVp06NAhIiKDLbzNmzeTvb09ffDBB0bHrayMOTk54v8vX75MvXv3pmeffZbu3Llj0TzGFM1YNOfly5cN+hM9fS8DAwPp+eefp+zsbMVyluXYsWPUtm1bcnJyotmzZ9NPP/1E9+7dM5iGUhnj4+PJy8uLiIiSkpJIEAQaPXo0/fnnn2WOV1k59XtG//rXv6h3794kCAJ5eXlRrVq1SBAEGjJkCF24cMFgGpWd8fTp01StWjXavn07RUdHk42NDQUHB9Po0aOpXr16JAgCffHFFxbNZkrOogoLC6mgoIDeeustcnZ2Fr+PShSRKl9A9O3exbfY9R/GgQMHyN7enmbPni1203/It27domHDhpGbm5tFt6ZKy1iazZs3k06no2nTplksU3HmZtQXmI4dO9Lw4cPFbpZmSk795zt9+nQSBIF69OhBo0ePpjFjxpCLiwu9+uqrimbUv0+nTp2iWrVqUVpaGhERjRkzhuzt7cWt5kePHimSU5/v+vXrFBwcTIIgUM+ePenrr7+m69ev082bN2nOnDlkY2NDISEhimTUO336NLm6utKoUaOoffv2FBERQQ8ePCAiovPnz1OfPn2obt26pT5Cu7JyGhMREUGCINCuXbssmKxsVbqAHD16lNq0aUOCIFDv3r3pl19+IaKSKzIfHx/q2LEj/fTTTyX6b9iwgapVq0arVq0yOm5lZSzaLSMjg15//XVycHAQt/AsuXI2J2NRqampVKNGDZo/fz4RWf5AoKk59X9v376dNm/eTHfu3BG7hYeHk42NDS1atIiI5N9yNue93LJlCzVv3lxsQs3KyiJHR0fq0aMH/f3vf6f/+7//E4uL3EzNuWHDBgoLC6OEhIQS/UaOHEnOzs7iClCp3063bt3IxsaGXF1d6fjx4wb9vvnmG6pTpw5NmTKFiCyzp2Tu70ef4dixYyQIAm3ZsqXM4S2pyhaQEydOUMuWLalRo0YUEhJCgiDQwoULDQ726VdoO3fuJEEQaO7cuWJTi77f5cuX6dlnn6Vx48bJ/uUyJWNpvv32W/rb3/5GgwcPljWTnBmPHj1KgiDQ/v37LZrR3Jxl/RB/++038vLyovbt2xs0HVZmRn2+Y8eOkaOjI6Wmpor9RowYQba2tlS9enWaNWsWPXz4UNaMpubUZ8zMzCxxTEk/3MmTJ0kQBIO9+8rMqP8Nf/311+IZjPo9DX2LQkZGBvXt25c8PT1l/7xNzVmaCxcuUO3atWnSpElExAWkUv3yyy9kb29PX375JRERvfDCC9SsWTNKSEgwOny/fv3Iw8ODdu/eTUSGW8tt2rSh0NBQIpL3QzQ3Y9H5P3z4UNzF/fbbb4mI6MiRI7Rz505Zc0rJqLdy5UqqVq2a2GSQn59PV65codOnT8uasaI5iQy3PLt06UL+/v6yr1CKZwwICCgzY1xcHLVo0YLu379Phw4doueff55sbW3JycmJvLy86NixY0Qk/4pF6ntZvAn49u3b5OLiYpGmVnMzjhw5kgRBoPHjxxMRGazAg4ODqXXr1pSZmal4zqIyMjKoYcOG9OKLL1JWVpbs2UxRJQuIfuVfdMtIvzU8efJk8YtSdKVx/fp1qlmzJvn7+9OPP/4odj958iQ5OTlRZGSkIhmNrRz0uS9dukQ+Pj7Url07ioyMJE9PT6pbt65sZ41VJCMR0YABA6hr165E9LQ5a/369dSxY0fy8fGhu3fvypKxojmL71Xu37+fqlevTm+//bZs+czNqM/57bffkp2dHfXv359sbW2pW7dudPToUdqyZYu4MpT72Jyc7+XKlStJEAT6/PPPFclYNE9qaio5OTmV2CP++eefqWnTpjRq1CjZC7Ec7+WQIUOoTZs29PDhQ94DsYS4uDgaP348LViwgI4ePSp2L/pm6z+M0aNHk4uLC+3YscNgGvoPOiYmhho0aECNGzemTz75hNasWUMDBgwgT09POn/+vKIZjbl+/TqFhYWJu+cDBw40aO5QKmNhYSE9ePCA3N3d6dVXX6WDBw/SK6+8QoIgUN++fenGjRuSMsqds6i0tDTavXs3de/enVq3bi0eD1MyY0JCAnl7e1OrVq1o+fLllJqaKn5Xu3XrRmPHjq1QAbHUe3nr1i3avn07eXt7U/fu3St0tqCcv++4uDhyd3enOnXq0NixY+mDDz6gl19+mWrXrl3hZlZLvJeFhYU0d+5cEgRBPMuxsouI1RaQW7duUZ8+fahGjRrk4+NDtWvXJnt7e5o1a5Z42lvxi65u3LhBNWvWpCFDhogr2oKCAoMP5fDhw9StWzdydnamunXrkre3N33//feKZyzu2LFj1LdvX7KxsaGOHTua3FRTWRl///13cnR0JB8fH6pZsya1aNFCbGpTU87Dhw/T2LFjKTg4mGrVqkXt27enH374QdGM+uaVvLw8Onr0KP30009iodCPV5HToi35Xr755ps0YsQIqlmzJvn4+IjXLymZsejvOyEhgfr06UMuLi5Ur1496tixo8EKX8mcxixZsoQEQTC40LkyWW0BWbt2LdWpU4c2bNhAaWlpdPfuXQoLC6NatWrRhAkTSgyv//DmzZtHNjY29Nlnnxl8sYr+Pzs7m/744w/JKxJLZSzq4MGDZGdnR8uXL1dlxu+++44EQaB69epVOKMlc+7evZu8vLwoMDCQoqOjVZfREluclnov4+PjqWbNmuTn51fhZitL/r5zc3Pp3r17dO7cuQpltEROPX1BSU9Pp5iYmArnlMpqC0j37t3J39/foNujR49o9OjRJAgC7d27l4hKVva8vDxq2rQp+fn5iVenXrlyxaCdUq6zrSyZkUie02Llzlj0+Mvq1atLXF2rxpxXrlyR5TOXM+Pvv/9e4vOWiyXfy3Pnzqnye2mJ37elcyp9twEiKywgBQUFlJOTQ3369KFu3bqJ3fW7/WfOnKFOnTpRkyZNSnwAxU/bnT59On3xxRfk4+NDkydPlu3CrKqeUc4zRiyZU65TYC2Z8fHjx7JktHROLbyXcl54qZWcFaXpAnLx4kWaMmUKTZo0id59912xUhMRDRo0iFq0aCEe7Cxa4T/77DMSBIGWLFlCRCW31J88eULPPfcc2drakiAI5O7uTl9//TVnVDCjVnJqIaNWcmoho5ZyWoImC0hubi5NnTqVdDodde7cmZo1a0aCIFCTJk3E86nj4+NJEASKjo4WPzT9B5ScnEwvvvgiNW7cuMTBxx9//JHeffddqlmzJtWqVYs+/vhjzqhgRq3k1EJGreTUQkYt5bQkzRWQBw8e0MyZM6lJkya0cOFCunz5MhUUFNDBgwfJw8ODXnjhBXr8+DHl5+dT+/btKSAggJKTk0tMZ/bs2eTi4iK2QRI9/fAmTpwo3pROf4EbZ1Qmo1ZyaiGjVnJqIaOWclqa5grItWvXqHHjxjR+/Hi6f/++Qb/x48eTm5ubeCVzbGwsCYJAixcvFtsN9ZU+KSmJbGxsaPv27UT0v7bJU6dOifei4YzKZtRKTi1k1EpOLWTUUk5L01wBKSwspM8++8ygm/5Mni1btlC1atXE+9ncv3+fhgwZQs8880yJi3JOnTpFgiDQ2rVrOaNKM2olpxYyaiWnFjJqKaelaa6AEP2vShc/6LRo0SKytbU1eOpdamoq1a9fn9q0aSMegLp58yZNnDiRGjZsSLdu3eKMKs6olZxayKiVnFrIqKWclqTJAlKc/uDUlClT6JlnnhG3BPQf7P79+8nHx4cEQaAOHTpQly5dqHr16hQZGUn5+fmVcj41Z6xaObWQUSs5tZBRSznlJBARwUp07twZjRo1Qnx8PAoKCmBrayv2u3PnDqKionDlyhVkZWVhypQp6NKlC2fUaEat5NRCRq3k1EJGLeWUhdIVTC4ZGRmk0+nEB/0QPd0i0D/eUw04o3y0kFMLGYm0kVMLGYm0k1MuNkoXMLlcuHABOTk5eO655wAAt27dwsaNG9GnTx/cvn1b4XRPcUb5aCGnFjIC2siphYyAdnLKRfMFhP5qgfvhhx/g7OwMDw8PHD58GBMmTMDrr78OIoKNjY04HGfUbkat5NRCRq3k1EJGLeWUXeXt7FjWkCFDqGnTpjR27FiqVasWNWvWjL755hulYxngjPLRQk4tZCTSRk4tZCTSTk65WEUByc7Opg4dOpAgCOTk5CTeW0ZNOKN8tJBTCxmJtJFTCxmJtJNTTlZzFtb06dMhCAIiIyNhb2+vdByjOKN8tJBTCxkBbeTUQkZAOznlYjUFpLCwEDY26j6kwxnlo4WcWsgIaCOnFjIC2skpF6spIIwxxipX1SmVjDHGZMUFhDHGmCRcQBhjjEnCBYQxxpgkXEAYY4xJwgWEMcaYJFxAGGOMScIFhDHGmCRcQBhjjEnCBYQxxpgkXEAYY4xJ8v+OWqwGhi5FyAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -227,9 +227,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n",
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:379: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
       "  warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n"
      ]
     }
@@ -285,8 +285,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.509\n",
-      "[-0.761 -0.295]\n"
+      "-1.273\n",
+      "[-1.607 -0.959]\n"
      ]
     }
    ],
@@ -332,7 +332,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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hzU7s6Bcwk0qcUDjhP28dxMHjbOhTerJLQ+y5cU1u1MXgju+Y5z3veXziE5+Y+N5nPvOZqazXFAcWBzUsdqvjSmGurYgOl8NeXutmiDGE7YJ8lbWe2CGxdQdt51xdVB3yYGEcWWHoDT1pZFhYJD6MuTHIESZjMMhx1hJHgo1hycX1jI2NPllhaOlKzUQYljZyrClRwtHW/tixlrSSCCUFqwPjX3eCVIeFnC/8Fjhi5b+LHrMADl+uEL5b8/wd1HDklbBjT+6tb30rP/VTP8Udd9zBj/7ojwKQ5zkf+chH+JVf+RU+9KEP7fkgp5hiL3BQw2IHBQeVgLMV0eFyuNy13u73rJmGzmIbtWpNVRG/f193Fmvra9Cq8KWUktKCsYApyXJXMyUlllbkCSfWCoqiIDOCuZkEhWF1ALY3QCpFljucLelnBq0VaawreS5JK1KkicIYn/eb0QUXBxLtCoYmpR1ZSiuJnCPWCq21N2xCVt29fYBS4DA2EGZ8aNJtcf5uNOxY1gvgH/2jf8Rv/MZvIKXEWlu7u29961v58Ic/fC3GuafYb5mZKbaHvZ5091qm6WZDU1h3v5Xjx7Gda9PcBthy+6aBCpP6eHuYQAwJ/dTC+QjSV1770e8/K11dq6ZE4zPCG7XBMGN16HBlRq+QxNKA1MQKesMSY8EUOVnpSCKFVmBQDIcZggZ13zkkgpl2zOJMjJMRM6lnSK70S9oRrA68Ae0PDUfmU8+0RBBpxaFuhK5UTRItsMjaGDe/oxSje2GS57bT52S/59tdFYP/+q//On//7/99/v2///ecPXuWw4cP8wM/8AP89b/+1/d6fFPcYpjU32qvVpN7LdN0tThoRnU8JHeQxrYdbFXoPg4pPI1fipHEVjOXVpdbNDw1GOXUgnGTIoggW1YLKo/PYZGV/iQM85Inzg1JtKM3KIkiTQHMdeDCSsbqRo8Sg3SKTiuhtLA+GDIsLYm0OKnRCPIyJ7eQaI3WKU5GtGNJUXoGpikKljOBoqRXKObainYae0Oau1o2TFbnprCiFns21vhcnPPjFkJWZJRtnOcb4NbYsZF76qmnOHbsGK9+9at59atfvem9siw5ffo0z3jGM/ZsgFPcGpjUXfh6JroDPRqunxdz0CaL5iIgrOT3e2xbdZ0OeTEYeRvbvV+CSr91oIXbRJYPnze2MnAhfLdpLN64OeeLtrPSgS1Z2igw1nGooxiUiiwvOL+W4YohywPBfMsh4oS5xJFbMKYgdzm9oeXwDGALNgYDhnmJcUAUkwqBjmIQkhgwtmQwNLTinIFIyPKSfu5qckXpFN1UkMQRrUiQxpoksmTGMzuD8RL4rgfhnBkLSroqhOkuG+243s/J1WLHRu7Zz342n/vc53jVq151yXtf+cpXeNWrXnVJacEUU1wJ4/VH4SG7XhOsdZvll64HDjJb7aCMbdJ9EV4P74nK8O1OfNl/wFpHaStihpAIMRJRDsf0ElyubihaGlurkqz2C5bXB2RZyYUVRTdxXFw3lMUQpKIVR8hI00k11hmvTlKWOCOYbSnyUtFqx8RCMigF2JKO9gY4jRwqguWBozAFeRmxum5JUktRGJSSICSdRJJbSStWzHYSdBShtcQJx2w86g1nrSU3IbQqES40VwXrBFhbeY2XttfZ7nMyHjreT+zYyF0uhWeMuWFCG1McLNSU5X1ib+3HpH6QSxcOytia+aGmdyEFtYjxdq7ZlfJ1oxKBals7ajfjSwW8tzYsvVbkMPfF2UVRUDiFdjmr6znDsmAujXlqPWdQWJQsaUeSLM/I8xxjLGVRcn5jSFYWzLUilIix5Kz3BzgKIhRJosmNQEeK0jj6pUTgGZlCGbQUyNLhhKLTipjvxAxLWIg8AzKOJInyHlkkvZBzK/LfPStHDVUjKZBCEmyZljAoQnhTbNLTDOd6/DmZFNo+SAILu8rJTZqEsizj4x//+CVteKaYYjvY70l1v4+/H9hNP7TLERKu1bg2FSFXv3uvZPuEiFphxDaEhhuhz7B4F3iFEGd9ITXOMiw8I3J1vcfTS32evniRi8OCllJ0WjGJSjDO0IpiNIbCWLTLwDj6w4K4DesGTJlzdr1PWwkKYxgYRzeSJHHJ0sCRakGkO3gJS4clp9df5/TQsJAKChJiBbYscVoRa+h2WrRjSbedMovFoIgVaK3rLgf93FbtenyMNpBtAlvVWYtFEitASBI9qkscx6TnZFLY/aBEAmCbRu7+++/n537u5wD/JcdzcU38w3/4D/dmZFNMcYtht2SP3X7uSjnB8f1OChFeC4yP63ITZtPwwmbj1USTbFJvW9Hmg4ELtW9SwFo/4/xKjxNnzrPSL0gigZUxvazk8Qur9Msc7RxzrZhOkjKTaBbac8RaVYZSkJmMXjZkddijLDIuZpa5SDHTTjBO040Ea5mklxsiLRmWXpprPctwRHQjwcWhYSPrsZFpnndbipQdXwzeiUniiE6i6CSKNJIYp2hXBenecFuGhavb7ERKkCqJUGqTR2ucXzAYV7XSkZJUbf9emnR9DtKicVtG7lWvehVvf/vbcc7xK7/yK7z5zW/mtttu27RNkiS8+MUv5i1vecs1GegUU9zs2C0RZbefu6LSyARjs5MQ4Ti2a4zHx3W5CdNYV3fV9sxAURuv8eM02ZGhBqzpJTrnpbDWhzlf/9Zx/vzEEmfPr2O1F1R+9mIXjaAlc4Z5yaCA3vIAWgPuWdC0kjZlmbOUlawur3Iuy8mG4CwMCxAWLsYlzzgiODabsJpbVN6jKDPStMtioil0h8JaOmmM0opOXLCcRRxtaZKkw1w39uUEaGZa2quYIBgUjk4MxsmaLJMV1KLLTcaskiPSiF+sCMrKuLOFgPflcJAM2iRsy8i94Q1v4A1veAPgpbve+9738uxnP/uaDmyKKW417DbEs9vPXWlymmRsLkctH8ckTxCubIx3MmkGT84fQ1bdsjcfJ8hvwajLtnW+tq10PndlrePCap/TF9Y4t57z8MnzLG30WboA6axnH56P+xxKI+bSlPO9DaSCdQuzBo6vlRh5lpXekOUN6A2g7MNK3/eJMw7iNhyJQGNYG2TgCtYLGBQDdO4o04jDDrAF/UFJuxOTRorbZ1Pm05S7DrdIk5h+VtahSGENwxy0sgwywVxLkTnf2SCSDiu8IDNCQkOxJBh/f54VDluxLF19jS/XG+9Gwo5zclu10RkOh6RpetUDmmKKWxW7XRFfq5X0Xjcw3S5pYTto9j0LHbVr76TSX1TCYazcFI6sc2/C14op6evIev0BDz5xjq88cYLeYMj6GuQS5tsQaegPYXnNMsgz2nEJBjY2QDnvpcUO/uqhIac2YADEQAlYYMFAKiFRIBU4KZHSslFKLEMyA4XImSk1mQMhEpQWbBiNEorD3ZRuIsitRBuLkAoH5NYxH3l9y8L6ZqZLfUEnFt6oIegkktKwSd5ru4uhUEbhG6lODgPfCNixduX/9X/9X/zKr/xK/fejjz7KC1/4QjqdDq95zWtYXl7e0wFOMcUUBxfBk7LW1nqNwZA0w4NbIeTBmnm17aDODVa0+FjL2mMLYwitaowxNbkk6EoO8xJnClY3Bqz3Bpy6sM7ZtXVOrw1ZzqHdgYV5gUlhrQ8rG/D4Cfj2t+GJJwxrS947izSsrMJDT8FfbcBx4BxwEVgDesAQaGm/zySB4TDj+NIGeb9Hb2BIBYjC4pTDlgVa+NKAWFo6iWamHSOVorChw7dXKGnH/jsnWqDw3zFVFiEEsZakkS8tkFL60gHkloQhJUfGb5xBv53reJCxY0/ugx/8ID/yIz9S//3TP/3TLC8v85M/+ZP8H//H/8G//tf/ml/4hV/Y00FOMcXNhklMxe3KUo3vZz+VSYKxCZ2wYWtSSpPhGFrS+PNQOR5XQPO7Tio58XVs/qej8txwZGVZe3bWWgalQJiMc2s5F5c3KEzO00sXeejkGv0VaMUg5mD5jOPkEjwB5HjPDIA+PLMPh4FVvEEbX9rH1c8ucFhCqX0urCzg6XUwwAZwaA7WckgSQSvSxHFCEmlaWJwTJEqQRpAXDlMWCC1JdIRA0kmjqlDdMTSSbgw6iunEAiFVpcgiKBH1OQlF9ePwr1Wem7F1rzjv+Y3KAkTVVfxGCl3u2Mg9/vjjdaeB4XDI//v//r98+MMf5sd+7Md43vOexwc/+MGpkZti29jvSXq/MImpWIeHxMgANA3CVvsJPy8XSrpW5zkYm0BHD69NGluT4Rhe88r2ngCylZEPvwcPw5+TSwkSWnqV/9JYT0KRMCxKNgY5pfX1bb1CMBtbTpzvc3pplZMXL/B0v8+509DLff5Mp3DuaXhizRu4STgOnMQbq0kYArPV/yULC30YpjAUsNGHPIdOG6IEohgW2ylOaDpJRKwUw9JRWMfKoCCzEbNtgRUaIX3YMtICJxTdGC5slFUtnGQ2llgEsRwZJiVFbZi2E3K0zof4ml3kw4JskgzaQX9ud2zk+v0+nU4HgL/4i78gy7KalPLCF76QU6dO7e0Ip7ipsVtm4H5iLwzGlZiKkwzC+PEFXqUCLpVY2inpY7ffqakcIpv7YVRwvIm4Iqt8GRZjR96CwNWix6V1ozqtCYob4+ekGTLNSocSvsN2CF9aa+lnlt4gI9GCR8/3Wemvc3p5hYvDPoM1uLAKJ/DeFb3tffcr6Tp18R5gDKwAcd9f8/6gej33E/CRls+htbUjkhotvYhzZiyFsaQ2Z2MQcXurpLQRsS3IrSSJLEJGzLd9XrEd4RVKqtq+WPm/TWMR4gvdJxNJlBQI5zVgHJvvy+ZiphnMvJKxGy/x2A/sOCd37NgxHnzwQQD+43/8jzzvec/jyJEjACwvL9Nut3e0v/X1dd71rnfxX/wX/wVHjhxBCMH73ve+S7b78R//8ZoV1Pz//Oc/f6dfYYprjJ308trveP9u+o7VYTez+XM72VfIJWklN6l4hJ+h2eYkokAzRNhUmLB2cwuY5rZXOs/j2+8Wzf1M6j8WvANTWfjwd9PTCN8hGD1fElCpd1SWrSxL+llJWZbkpSUv/cSOs6wPCjYGvinpMC99js4aemurfO3JM3zz1FN8+9QZzqz3GFyE82fgSSoDt0fIgKfxebnT+FDnxhCyAWgNqYDOjGdtDmxMJ4rRqo3BS2nNddscnukw324hhGJ+JsYJRaSVPy+V8fdsSEk7lsSR9gauBImt2vwEPcrRnFk22KdNhOsVOoY3r9v4e+OLqq3um322b8AuPLk3velN/PN//s/59Kc/zcc//nF+5md+pn7vq1/9Kvfcc8+O9nfx4kV+/dd/nZe+9KX84A/+IL/xG7+x5batVos//dM/veS1KQ4WduKd7XeNzW48ya28rGa4cSdU+4CmtBRsfW62WlWHUFLT29lOrVlzn1e72LjSfsbH3jS+FkEkoUTgGoobpaXy9EAKb/CGhUNJ6BufY3LW1NuVxtLPSvrDnCSOKIY9Tlwccvz8EitZxoWLA544Ba6EJXzY8VpggDduKSMDKoDFEhINpoSNNYjSjPPrhvlUUpYRMpK0Uk1pIcUxGOTkpSNSJZGKycoRqSS00hGmYCOzJMqRRJph4Uh08PRHC6VJ5343CPeTc1e+3vuNHRu597///WxsbPDnf/7nvOUtb+Fd73pX/d7HPvYxvu/7vm9H+3vmM5/J8vIyQgguXLhwWSMnpbys2soUBwM7nTD3My+3m8m9qWK/lw/xdscyLi4cJhpPmacWGb6SnR0/79eyndGlpBFRFSoLJN5QCWe9IcOhpKxzP8558WQlvRdira9x6w8tSjiSOKo9mmFuyPOcM+fWuLC2QRpH9Pp9nt4Y8PjpVQZDePo8PAb0r/7rXhFF9X8eH6JUeJJKt4ThBlCC6MBiy7KaWzZMD2sLokhVfd78vOfwLMlB4VhoeS8r1dTdu3uZ8S10ECSxoBUJ8mpRoJUfy+ha7ziAtyWudN8ED3A/sWMj12q1tmyM+vnPf37HAzjoScsproxLtQZ3NmHuZV5upwZzL2vTRjmNZoHy5DzFpDFe7ViM9YYtsOiudB726rxvhxU6KRza9DyVGDE0h4X19rvKKfnvZ307GOEQUiCVRlmDsaEmDvLSkuUFF9YyzqwNWOn1KTccq6urPHXe8NRZHzpc3/1X3RU0EOGvS1n9vgYcdqBS31sus4J+luEwaBStQUESt0gi0FoSfHYtLP0yYi7yjVWt9QsFJRwbQ8NM6mXFpFJIaxphbH8tlNxZQf/NgKsy6Y888gif/exn6fW2mam9SgwGA26//XaUUtx111284x3vYGlp6Yqfy7KMtbW1Tf+n2DtcbT5nL/Nye5Vb2g3CqtWF9i1XyFPs9Rg3hf4uc4yQOxTVxNmsj9pJfjJsH4gFxo7ylOPHbY4t/B7CkfWiAFsTSIJcV5DaGhaeQOINo/dUEi1oxxKFf78/GLLSy1laXWNlfYnTFy9y/MwSZ5e8gXuE62/gwBu289XPDj58eUcE3Tl41m2w2I5ZbKXMt1IWu11un20RSUkkDZEWLM6k3Hm4S7ed1t28jXU4a8iL0iu3VOcFIevftfJ6laVl4jXZCrvJUx9k7KoLwf/+v//vvOc97+HMmTMAfOELX+DlL385P/IjP8Lf+Bt/g7e+9a17OkiAl770pbz0pS+tyxc+/elP84u/+It88pOf5Atf+ALdbnfLz/78z/88999//56PaQqP8TDb9fKmdjoW2F7t2V6PoYlmUbIQYkum2ySESV5LLunzBZvPo8RtOYZAnPGsu1HI8EqenbW2JoNoJWsD5xUxZN2TzDiI9eYdjF9jGUKVVegSvCpHmMARlkh7Vmhe0RiHha01GLWSJFqwPig4fWGNjUFJfzCgnxWcXl9jaaPHxRU4ewYewufH9gMxPkyZMjJyi3PQ6sCdi4JWu0srUrR0zGynxR3zbZyIaCUKpSO6qSaONO2q580gN967xRe7O+eLw7WSddPTsHiItaQwzot2OdATCCOTcCMyni+HHRu53//93+fHf/zH+YEf+AHe8IY38BM/8RP1ey9/+cv5vd/7vWti5N75zndu+vtv/I2/wX/2n/1nvPnNb+bf/tt/e8n7Tbz73e/mp37qp+q/19bWuPvuu/d8jLcqxiew6/WQTDKmlxtL87UtKfl7UOh6OaMdWId+3KLKNW3vXIVwXmm5pM/XTsbQJM5cjqwCm89xaUf1fcHGhu9Rn39G12M7rW9y4+rzjrNkpTfgSiki7RuT4rxxS7QgL32jUi0sF9ZzltaGnL14kSeWVri4scZgA4YlrC/Dwz3vQe0XFvE5OIM/L7cDhxdhfg6OzAmUSplPFUIoIh0x30pJWh2SSFU5Sq/YEmuJEKqqmPch2oGxFFZU+VdBGkmU0sTanzvrvDfnc8cCvYN7eq9ISAcFOzZyP//zP8/f+3t/j//1f/1fMcZsMnIveMEL+Df/5t/s6QAvhx/6oR+i0+lcMReYJAlJklynUU1xvR6S7RjT8bFMGlfYz3iO6FpgnF24E6abb2Q5uc/XTtAkzmjh6uM3DWMwUMHjDOFNgSeAeMNEPclKAQifkwzfJbBNLa5W0ADqBYWp8kW58WxD8HV0zgliNRJWDl4nztLPDNaUPN0rOH9xlRMXLvLw6YucuQAXVuApPKFkPwNtXbzndhRIgPaMl/UigUNdWOjEpK0OqRQoqZFaM5dqlIrIsyHOJT4MqxTDEnqZqe/RflYiZdU2J/aMklh7UkoSKd/klcms2sstOsYVePabLLKX2LGRe+ihh/jABz4w8b3FxUUuXrx41YPaCZxzE0M3U+wfrldZQNOAbZfMMT6uZsPMvaBWXwnjzMjRzytDSnlFD24rTCIHNUOGkzytSceXVZuWUAQMI69t3AuuJbtwCOHVW5recqQERRlo/64KuQmEkAhB3ax0UDi0sKz1c5bXh2z0h2z0N3j84honz69x8iQ8mvtygIOAINk1iyeV3HHMCzV3EkErTjnUSbHGr6SUEBzqthFOkaa+dXeaxEgJ1hqGWYk1vg4ut5UGpfPh4plWhMCRGTFafDRkuJq5tWakY9IiLnjosLUs242KHRu5drvN6urqxPdOnTrFwsLCVQ9qu/jIRz5Cv9+flhXcomgasLAK3akXFsKHAHKPrduV9CmvFNKbON4r5OW2/NwEr/dynnBdA1iPe7MXLMVIXFlJr1IixOYawVqyi9FnS+OwzlUEFO/dlc6Rl4bS+O8Ta0lm8YXNecnaxoCLK31W+xmDfMCZlXWeOLvOk0962a3Js9H+YYD34CwQR6AV3NFJkOksC4lARS1KZ0mVQgpBoiK6qTf/0pX0B9BNpO+SoBStWOKEYqEtMVaSlY40krV3nEgf6rUOsKNWOcFwmSpCMU7wGi/ruJpegQcZOzZy3/M938OHPvQh/uv/+r++5L3f/u3f5t57793xID7+8Y/T6/VYX/fcp29+85t85CMfAeBv/s2/yfnz53nLW97C3/k7f4fnPOc5CCH49Kc/zf/yv/wvfNd3fde0G/lNgqupl9sqRHqlfV7L0Oqk1fG4Ydlp/nJSXu5KYagQHgzHcm4UYtzqu497wCPPbyTSC/6zeWk9bV1WIpQVmjJRIfQJFaUdgXOGEAS1SIqyElDODcIZVjaGPHH6PCdWepi8IIo0J5eWePRxy1f6+8OU3C4OAW18l4Iih4224IWzCZ1WGyU1g2xA6bz2pBOSfm6B0nvKyjDMLVo64jgCJKkGrTWphMhQLS58WFEhoEEmksLWws0V4RIhNotZw9i9dxOXFgi3Q57oX/3VX/G93/u9dRfwf/pP/ynvfve7+cpXvsInP/lJ/vIv/7JmQG4Xz3rWszh+/PjE95544gnm5ub4B//gH/DlL3+Zs2fPYozhmc98Jj/0Qz/Ee97zHubm5nZ0vLW1Nebm5lhdXWV2dnZHn53i2qGpcbfdnMCVjNhO9rnXRem78eSuNIZJntzlvuNWuoG7ybk0SwWUFPX3CzWBIVckxsJl4f0w7kFu/DbOq92HVjiD3Isrr230+fbJCzy5tMzplTUGGRQFaAtnT8Ff7njk1xezwLMU3LEALvVe1LEFxd2Hbufu+RRUihIwN5Ow2jPYMmcjN6TKUTp//mIlEVKzMJsw10lI4oh2oomUqNmVkfadBoJBK+1mDxwuf52vlwjDfs+3OzZyAA888ABvf/vbeeSRR+rXnvvc5/Jrv/Zru/Lkrjf2+6RPMRnbeejGtwkTb8g7jH92Jw/ybozsXiPkUJor9a2M33ZYoZM8ua16il0Jk45nrJfRss6zHxGyfr9JXilKT54I3QOM80YOISmKgmEJ2aDHk0+v8ejZizx0+iynn/bCyRGefn8GL3R8UBHhw5SLwD0z0J6HWEMaQdSKuGOmw1y7y2y7w0wrotOKKcuS9X6JdCXruaMTS+I4RmtFEkmk0hydjdFaE2lFJ1ForetrHc69FP665MYXjDuhJoa090NdaL/n213Vyd1333089NBDPPbYY5w9e5bDhw/znd/5nXs9tiluMYwzwca9ILg0vBdWrgFXw4w8CNTpQO+HKl94mbBmHX5stETZimDidR9HrzURjFBpvaGS0pMbcBbjxKbJ0hNMqNrjiEp6S9SKJVqNWKqhbq4uXsYvSiKtfMcCC72sYK2fY8qCx8/0ePL8Wb5+8iKPPgZLzhu1Ei94fFAh8eHJEj+htoGoA7Mt6HZbJBJmkhTnBFlRMMwyurGk1xtS2opJKlvM65zMaA7PpSzOpAxK/14aewOnpM/R1ffpGIfUOH89CiNQ0l/zWLitQ5Q3Z3TyEuzKyAXcc889OxZknmKK7WArtte4IbqSUOxOHuqrYYVuJy+2ndVzoPebytDJLb73Vq+F7xvYjyGMFXQio8bCPnTJLoz/KaUnNWjl6mJjIQRWCZJI1GomQvgDCzEiLYSWNs4pJJZBKYmkQ2vtDZuy9HOLNZayLCmd9LVuq32eOtdjvb9OfzjkG09d5MRJ+Np+1gDsEBbPppzBlw4sJNCKKtJHmftSibRFJCCNI+JI45D0KxWXThpzeEazNpDMxJJOy4co28YvPpxzKOH1PGEUcSjsqITDt10KRd++ID+0L9LS1SHNrVoz3czYlZHLsoxPfOITHD9+nOFwuOk9IcRlC7OnmGI72IrttZUh2qoe6Gq8s50Yp6YxbaqNBMp2eG87RlSIS0kATeJHLWg84VyMe7ajPI3YlC8L4wlEFmcNmal6kglZe36mYTSDxBZCVhqSqr5G3gCCclBYgRBVp27h29wUxstQ9QpfzB1Jx2ov46lzS5xcPs/jp3sM+3D6LHzlyqfowGEIzAHP6MLsPDgNxvjzt24hKgxRJGsGpJKOmVTjHMx3NUJFHJm1WBnTTTVOKIR0lM6HrQsriCOxqSRASVGxg0csYYG/x5z1C7+QC1WSkfQX1y9UeRCwYyP3xS9+kTe+8Y2cPXt2orbZjWTkbhZttpsRkyb6KyEYJWs9u8zT2a+sxr8VdmKcmsZ0q5Bq09BeyYBOkiOrpcAuM55xz9bX/nkPbjxX6VylF4kPg8VKYa3P8cQKrKyUM4QvypYCb+CkIC8d2hmKaoy+KafP0ykFuXFQhZxLA0VpWOmXlPmQ88t9zq6ucnF9g8efXuX4BVha9aLFZ7d3aQ4cUuAuYKYL7RQQkJdgBoZDLUU3FpROMCwLZtKETjvxWpTW5yUj6RiUirnYs0vzoofFLyaQMYny18BYL+MV7inBKBwZ7hfj/LMT7pdQ8H896kAPInZs5N7+9rczOzvLhz/8YV7wghcQx/G1GNd1wRbEsykOIHaqqr/VQnUn3tl2vMDm/sIquaba44uhm+81x+qcL5CO1NbF2JPu0UtCsg3G5UgyLBxzs2FrkmuEEAipSKSovY5ADAHv+TnnKs1IH/JKND6kKUdeYugCIKWflIMgsKqIKdaUrA1Khv0NvnniLI+dW+bppSH9DM6eh4vGdwe4UTELfFcKtx2DhZmIWEjWswxnoR3BTLuNkjFtBbnQREoz0058pwApwZacXy+RNuf8BUMURySRoNPpsNjRzLR8kbgLIWgxKvp2brRYDwuaYNSaNY6jspFbzMKxCyP3jW98g9/93d/lb//tv30txnNdcautaG5kbMerCmw/b8Am5x3G93M5o7edHN2kcY1a32w95kAwqSnfW4Qdw1cIxmkSezQrA0VfIMWocWtTkzIwUfMqPqklddgRBJFWRIzCkgLHMHfkhe+sjZDMtjRKabQtvcYkFpBoCYUBXMlq7kiUwyIrzUlf73ZhZYOHTp3jy4+d5fRZuDDwfdZOsr8SXFeLLvA8DYdvh6NzilTHJDEoLdnoDxgIUEJw+3yXwgpaUcTRhTbz3ZSiNPQyy/qgxBrD2gDKwlJUi5H5Wd9JINayNmSR8q/BqFRgREC6dGETtoNRnvZ6MisPAnZs5J7xjGdci3HsC26lC31QsFsK83a8Kr/CHe13O8Xfu2WbTaLT72TMTf3Ipsc3acz+NVfnc5ph3DqcaDzZwTUmuGYbnEiN8jngDWKkHKZBRikqseTS+JCZsZ744LUlHUMtSYWtywbAS1WVxiuTbAxyIq0YDkuEVBR5xsX1jNMXljm5vMoTp1c5cQK+afevK8BewV8Rb+RkAnMtECKhpWGQK7Q09Ay0E8itIZaKQzMJ7U6HxbakNJb1fsawhLIscU4w0xJE3YQ4jplNJZ1OTDdVtecWi8ntcra6z8bv0fDaVtGDmxU7NnLvete7+OAHP8j3f//3T0WPp9gxdmtUtst8vJIxHN/Pbokp4/T9EAqUY0b2il2Tt/D4xsOZk1C37UGQRt59VYJaJDkIJI/IBwKQvmVOWdIbOjqJQgpdlRHY2hBmhfF5uKqDmbGj1jrhuwcvYpD7fm69/oDcaaTNieKEi8s9Hj17lq88eYGLF+DCBjyO9+BuZKT4Fjrz+Lq4o4v+Wi52U5Y3Bqz1eyyt+g4E+rDicKtNFKdYobDFkCfPgRT+fAup0dKSJCkLbcVsJyWOfNE3QiKkGOWYGznZgODNbeq8UbVEqlsgQe3BFRWTyFhuWoWTcezYyP34j/84Tz75JPfccw/33nsvi4uLm94XQvBLv/RLezbAKW4uhMkXRnmCvcSVDMukOrLdPOt75RFO2ld4rRnO3KpcoNaHbBTCN9mdIa/m/Q7hdSELL+rrnGVYgla2bqMTGJUCP0GmWtahR+ccZVl6Y2csSkiMcWR5wcagZLWXM8wzeoMe4Di9dIEHT/RYOg9PZHBh56f5QGJY/Y/xBs8VsN5znJWrxJEhU6DaPlx851yKijRFkSFQPLqUYUyJUorFdptOKgFJN9VI5Qu9tZLIwJzEkZV+odMsEWjmXmHzfV0YV3vlQvgbU0n8IkjeelyEHSue/Pt//+9505veRFFMXo8JITzN+ABjvyvw9xv7oXrQxH4qi+zVsa9WaHmrfTYL4GECY7Na1U+a6GojZUdhqiCbFUgisZbkpSUvSoaFpRWrutA45OsiJdgY5PQyA87STjS58a9b1xC1tiXrmaPMh6wPDecuLHN2Y8hg2GMtKzl1oc9DT8Fjuz7LBxu3A7fHcPQQaA1JB1olPH3ey5A99y54xp23M5NEoCKEc1hjyIRgIYm5+7a5+txHUcRsyzdIBc8KlmJE8pFS0lS/qWvjxiS9AEpjN0mtSVExbNXme2qqeLIFfvqnf5qXv/zl/Nqv/RoveMELiKLoWoxrignYK+N0NV7HdnG5sV5N7drVYjfH3g6dfyce4aT9hXGFayPGwlDBOwvM0dL67tuSkT6kwJHVrW18Dk4rfBjSCVTFkPSRMEU7kfXkKaUk1pVMVxU+zUpHluWsDw2RMBRELLQETiicc6z1c6yD5dUha4Oc870Nzq2ucHqpYO0iPLkOT27/NN8wiPGhyFXgHucFk3s55BuwrKAQ0JqDspUyl2rWipxykNNJFAudNotS025pr0cZS6SOSbRgth1RWOGVZqyjcCPGJIR7ZNT5wTjvoWWFqdm1wWiOL4SaNZK7yT3fyGSVHRu5J598ko9+9KO85CUvuRbjmeIy2CvjdD2MzOXGejXKIuPY6UO403Am7IzOv9v9hW2cGMlhNcO5YdwCsalxatMwZuWIgSlrya2KbOKcb4eDY2hAOEPpJO0YtPIL1WFRsj40aOHDlxJL6SSRsywNYb5l6OWKbloViduS80sDzq+ssjbo8fiFZU6egG9teJ3JmxFdfNH3MQUqgu4MlALiGHAwl0Avg5kW3NnVWJUyi6ZIFB2tmJubYa6TeE9LaZwQdBLlGZSVV5YbV3X1ru4X67DWUTBqPJsXZcWWrDw7qWp2ZWFGeVwhLq2R3Amux4L4WmPHRu75z38+a2tr12IsU1wBe2Wc9tLIbIXr5a3t5iG8XKhx0v5COKi5Mt6uyPH4/ppNWsdDkqEA/nK98ZqNU+t9OQsIIum82giuMoL+C1khsNYhhVfOUBKGhe8YUBgHWUFeWnrDgtz4/XZTTawlc6lltV8yEzmGBXQlrKznXFgdsrq+xsmVDZY31jh1oeDs0/CXNzqr5ArI8ULMzsDQwAXjmZYzs17tZf4wvODOGe5YWESriG47RqsUrRWtJGKupSgRSGdQWjCb4EPB0jC0ozxqiBYEFMahcbgqBGmcwFYtduKqG3hY+ITP74X3tZ9Rl73Cjo3c+9//ft7znvfwmte8httvv/1ajGmKLXA9jNNuMMlbuV5j3c1DOG54mn9P2p9nUAa1iEuZbM3WN+O07fESgzqfBRPDRzVj0oVV+taKKIFc4Blz3vuLq5lulK8bdQJQapTXiaSjn1uy0rDhGhJROJzJ2RhCREGvkL6MQCgwQ073JP1ej7Prq3zlxDlWLsLTF33z0v72L8ENixzfgTzBG7vVwnt3cQFHD0O326XdmuP2w/Mcme8wLCGNJO1Ek0SK9UFBLARCRMy1IzYySyuCtaEliXxIWWiNrIrqjTH1/Si1rBZGlVKN9eonSaTrkOYktuXV4KDOOTvBjo3cr/3ar7G8vMxznvMcXvayl01kV/7f//f/vWcDnOLgYz9DGrt5CMcNWfPvy+lBTjKk401Mw7molfjHOwRUslk+FHXpDoMR9Me7VMIriCrnpQVnvWcmfPG1lqJe/RelrfNySgqkkDVZwTqBkhJR1dcpYYmUphVpCivoD/34z6xkZIXDlCVxZFjeyDHFgJPLqzxycoUTJ+ArDg42zWzvsVb9F3hjNwssCn+d5uOI2+Y6JHHEbDumZTwBhIrJm2jBeuboxv46psoyzB3OWqwVvrxe2roOsTCe5RrpUQF4CE8q/MIlaFbe6B7XtcKOjdxXv/pVlFIcOXKEU6dOcerUqU3v36jJyVsFe5VI3isR5L3CTpX+x7teTxJ3nuSVjr8f5K1CqCicC1XVQblKYLduVYMvWG/2W9t0rMCUw2KsHIUdq2PnpTdwzjlK6ydNH6r0xrQ0VTmAtTUJIYRkjXX0ct8RIK+Om0YSrSRz7QiHIC9KBkPHRj9jdXWD1SyjHA4hilE24+FzK5w6U/DEORh1k7w14fClBMeApA3Pu22e2+YW6LRS5tqRv6ZCYJxjJpEUVa1iKwIRWI8yQtoSrXwHiEQ5+rlAC1v33BNBYo3RtYTNxKUreW83A4Fkt9gV8WSKK+Og3lS79brGv8+m/ewwPHItzs2k77Wb42wKXXJ50kjQa4zliP4vhT8fxkocFuO8Gn0sqFudBGLIxDFXodHSeGNoHQg3YlAGyS3rHLF0gCKNJEqpRhG3I1ZUHlzl/VWfjaQjLx2pBqQk0p704CW+POuyFSuO93JOr6zx5PISG1nBvFZc3DA8+QR86eov102DeeCZc/Diu9rMzcwyk6a0WzFpEnvVGCeQrmS5D21t6eWj+8Q6iZauFsC2xtIrLFI5DIYSTawgjnQjFO5DlMFLh+0tLm8GAslucVX95KbYGgf1ptqt13XJ5D4pd7XN2rGrPTeT9rtVsfROj9PcTwgNBbZbMBqTzt/4sfy62+dOQphwpHAymujGJcFq8ouz5MY3zRRCjUoLxGadSaiEkuWoQ7eWlcqJsV4yzI0KxX2H6VFdlcBPsFpW4c2y5OJ6xur6Gk9v9Dh1uuDsOVjHcA7fN+1mh896bUbIweXV3yVwD/DiO+GFzz3Msbl5FmbapGnCbMtPq15ZxjIsLJHIeWrD0omhlSaksa4Lt7WS9HMferZWMJNqjBGkyqvMSCx5OdKtlNUNsxPFknBfXUlC7mbE1MhdIxyEEN4k7JXCx6T9hIk4CMFu1Rpmq3OzXc9rIgNyh7m0yx13UxeBxrGcaRZiy7GdWHLjW9Q4J+u2KM5BVOVNPL17xJwMr42Po2mYrANhLdaODG2zLi4QDvLCK/1bU4KQVR4n1Ej5/YfPl8bVXkFhqnY4ZUluwJQF55Y3OLXaY/n8Bo+e81JctxLGDRzAEXxtXA/vvX3nXfDKZ80zPzvHfKdNpx3TSaNafcYYg5CK0vrc6ZmVAiUM6zZitu0QznBxvSRSgjTWdVg6iSWxFuhIUjjFbCSwSCReiLsdOyblcq+E7YiG36zYlpFTSvG5z32OV73qVUgpLzsBCSEoy3LPBnij4mZgJTWxne/TpOCPv76dfTWNZJhqJlH1t2u8tnsNtmJbepWI0cRgbKMQe8zGGSfqAl2c/w5Z6VfhCFkZUFnvb7wWLrAlpfD70JKKFOIozGjBgA1eWCMHV0lrDQtHVjhmWqNwVqKr3mINZQwhBLEW9IYFvUHGar9gkBVYY1haG/L00jm+/uQKf3kCnr7y6btpoRiRajbwk+VtwPw8PPNISpzMcNviHJ1WjJAKqX2tWmnh3OqQNPIhRikVizOaXq6YTSVCKnLjry9C0JaSbqzrBVS4X5KQT7WGYVktoHZh4Jo4qIvva4ltGbn3vve93HXXXfXvt4qbO8XOEIyKc6NcHYzyW1tR4ccJLOEzUCl/bNNITtrndu5VKTbraTYngk25NlEJJkuHsZvLAiQ+3BQrb4CkqOrq2NyRe6tauGaI1LeuEZVe4ebzMe5Ne7JIwYW1IUIIOrEfg1aCJPL9ynzDU1f1i/NGtigNw7zk6aUNTp5fo5ets7KesT7c4BuPOb7QG4XmblXcUf3cACQwA6QxHGrDfKvNYjciiry4daIA6xcL/RzSWFIS00l9zjONWlXo21/f0lhmUunLC2K5yXiJSmfUh7MBIUmjG6dG9qBhx9qVNwP2W0vtVsIkrchJxdfBUwkPcVPDcafakJfTp9xqP4HU4cN7I6OUFab2sHRVZxZo+WF/IXwYatSgyodV30dKualeTggxsb6u+Z1rtX9n69xgyOEJfAuc4Clu5FAUBVZoDnc1aaz9voU3vM4aH8KUo8+vDwqW1wc88tR5HjpzkifP5fRX4Pg6HN/mtb3ZcAQ4X/2eAC8Aul04teENXQR0gDvm4RXPbfE9L3oeaZpirPOtjNzourYiQTfVdX1ciICVZcmg8NctTeKa9DPeL7DZlBao76Ub0cHY7/lWXnmTzfi5n/s5Tp+e3Mf3zJkz/NzP/dxVD2qK648wye71mqdZixYwyStpvue9HVk3h2z2RZsUDt3OMScde/wz4fuHn6WxWOvJG8Ezg0pPsFG0PW6wJ32/8fdC/Zx13qsKZQFQtUNxtgpF2vqc5MZvuzowbGSWrHT0CsFM4r22mcSXFATjuD40FKWpSwr6uWUwzHh6uc/Jcys8duocj585xVceyvnqCfjMLWzgAJap2uMAzwRm5rxc1wze6LUAC6yvwmNrA8qsj8AzVZUUdBNJogWLHc1t8y2OLXZopQlOKB/OVgqpNEopDKqiJvlFB87irPHtceSIkBQiIs3FXrgvbkH/ZFfYsSfXzM+N44tf/CKvetWrpl0IbkBcz84Ak7yprTysepKvFPW385ndHjso/If3asq+2BxyhGZ4c3TewqQUVvNBXilsFzyxsK/QfDSo/yspam8x9APLS1u3yzHWMchNHe4K3mMriXx+LnQaULCeObAlZZX/M8Yb0gurfc4vrXNyaYlHzy5x/En4i3wy2eJWgcQbL4BDwLOA7iJ0Yh9KPrsCa4NK8QZot+GvfYfipc99Pt/17ENY5z23ONJeBFsoEu1rI4vSRwIiWelLWu+BO+dIY+/pOUZkoiaLdzyaAZsXfGHbg479nm93zK68nE3c2NiYdiW4QbGdkoDt4kqfm5QXuFKuYJyJCLurjbscK9SHhBq5NlytCbgV+WV8AhICEF7R349jRBQx1fahg4BojNE6iBqHiBW+j5h0lMYbKYT0JQVSkcbVoyukl4ISgqrEnF4OCkNWeXAbvT6Pnl6hl+cUwyFPDwoefWKJL565eYWULwdd/Y/x4ceLjPKPi8DMDGgFMgah4bYU2uu+nc7sLBzrJNxx+Daesehzal5aS3myUWGBEpwkiUbzpXGCSAisUETaX68kknWo2gkQ0hObRvfupd3gpfAi3uH37eCg1uxeL2zLyH31q1/lwQcfrP/+D//hP/Dwww9v2mYwGPA7v/M73HPPPXs6wCmuDyapemxVAnAlTDI+49jug6ekqDtdj2OcMHJJkfrYZ7Y65iSDBdU2lTel1cjDnbTCbu5Hy9GCQQpvzAB0VZIQwp6i8p/SyL9QGAfWYm24Ho4cL7/l+3MLkkjXYVwvEeYLzpWwGCsw1pcCZIXxDVLzgm+f3uDxc0ucXrrI8gasnobPHuxgyzVBB0//P4o3aueBDO+dLeLDkrfPQOkg73ui/uF56HY19ywqWu0OC+2Uhc4MRxa7HFro0IpV7XkHL2tQONoxJJGqFW5E0JpUXnkS2PSM+WamV867BeLSTrCd5/FmxraM3Ec/+lHuv/9+wJ/krfJurVaL3/qt39q70U2xbezlam1Svmon42iq7O+kIHwnQs9h27BNKDsYTRqXfihMKoUddVquyR+VgRxngfrPjOrkSjsKnQbmZ3Pc/rgCV+cQR4QaISSysYBwjCYs5xwYw7AY5VqsG9HGW9Hm0Gcw6P3Ml+sY6+ikEb3csDEsWesNMYXPvz124jgPnbUcfxrO4XNPtxIS4BnAsTnvLWU5FH1YcLCOz7UtAguzIFNoCRg4mF+A77htkbn2HAudlNsW257U4ySphmFhycqcWPv8cSisj6pi/MJ4NRPnwjWUdch9mJde5cRa0lhPfB5UI9Fbl5DsArdi2UAT2zJy/+gf/SN+4Ad+AOccr3rVq/it3/otXvSiF23aJkkS7rnnHlqt1jUZ6BSXxyaywwQ5qp1gK89mu+NoGqit2sZMevC2Y/jGvczxY3vq9ajuLLAXwzGzMuT4RE3bDmLKYR/N8+fzYVV9nPETlrGWSIjq05d6j01D3xxbUDuxzodCgToP45yraP1mxIIUAuO8gr1WktJYCuOLuJ21DHJfBiCkIlF+gh0MM06d63NhdZknl5c5dbbH8dNwKoezO7qSNzY0PocW+r8dbYNUMNuBC0u+LY7Be28LMaQzcPgQzMcKqxyJFMx2ZlhopRye63B4LuHwfLc2ZL3MoJ2X7cqLkjjStGJFN9U+NKn8/9IKhHA1yUiH+7jy40u7uXxEjt33MIpQbDcyMY6mwMFWpTw3M7Zl5OI45hWveAUADzzwAC9/+cuZmZm5pgObYmdoPiRXG564mlqa8Yd1q1XkdhVKglFwwtd+jXuZI9YZ9ReXAvIyGENIQnhQ+G0FwbhQlwzQ6BlnGhNPCA3CiFASCCJhKOPjbhr68F6QU/LGT9TbODyJJCtd1cnbHy9WgV3nOxe4yiMQztRkkuA5OmewTmLzIacu9Hn01Cm+enKJp570bMlbyXOTwJ34zgDgQ46J8uHJuIRhH3A+19YW0OnCTBcWOnBkrk1Lt5ifiXFo2nGbQ13NzGwXawqy0qFcwWomSaRDKU0kvKEKhd/9rCSJFInWCCmJhL/uzYWMq3r/URV/jz8bTWGA+ntNeB538pzfyiHLbRm522+/nde97nW8+c1v5gd/8AenBu4Aomk0mp7I9cKlIbtLx3Ul7ERVZVL+rJmrqI29s+SlqD06v7r2k18weOMe55bHlrIWWoaR4Rr/zk2jF1bRhQGcZ9opGeqgvEeWld7jNFC/p5TXq9T4AmJjLVLKuvu3McYzM4vSCwEXGY+eXuHEhaf5+vEhx8/eel0CZoDDwGENUQuGA7AltBNQCSDBpT48qVNIIrhjAeZmO0Ra000icitxTtLSivluwkzb17cNS0d/mNPLDLMtjZCKTqLIS4uSkOc5mVVoYZHKe3NtLX3IuVpAjXRQPXmonYwWUOP3X7iHxlm9TewkDHkrhyy3ZeT+4A/+gD/8wz/kPe95D+94xzv47u/+bt785jfzQz/0QzzjGc+41mO8rrgZmEjXU9VgPHwYGIbbPX9XOt+T8hLb+W5eyBbKimBRWoiEq6W6QNSr5WauyzQmFjkh3+ZJMP79orQUxiKFJxlslUcMpQh5OQpbZaWrywCU8F23IyWItRwJKld6hUr40KRvIec9gWFesrLe5+mL66z0Nzi9vMITpzMeP+O1Jm8ltRKN99xuwzMmLSAtHJoFq/w9oDynB1l4huQdCxGxTpltxygVI7GcXFlmZWgw3TbPOHoEqTRaS6QSGC3pZYaZxNe7zaQKrTWlLTFO0C8tnUQyLKhUb/zYlPRd2UP3CJ9j9eo5QUkn3GubogEIogms3ib2egF5s2JHdXJlWfKJT3yCP/zDP+SP/uiPuHjxIq94xSt485vfzJve9Cae85znXMux7hkuV7dxPevFbgaYMQPUzJVt5/xt53zv5prUOQ3n+3KFPFdT1QQ2TyzB6DWJK+Pfr2mMm2ooSaTqkFRTvcIh6vo7a0qGha0VMryH5uqxgN93J1F1L7GatWcMK72crDBgSy6uDnjy/BJPnr3I+fWcR497z81ya0DjmZItfAF3CiQCogiSBJIWtCNfhiGkJ5WksUAIzUyiaMUd5loRKxt9lnob5KVlaQmGBpIU/vpzD/OsO+5krhORJnG94NFak0ayZk46ayidRFOSO81cKpDK+w5eI1TWNY/W+bBmM3IAW9/TN8OCG/a/Tm7Xsl7WWj71qU/xB3/wB3z0ox/l7NmzvOhFL6oN3nd913ft9Vj3DJc76TfLjXW9cLn2OrA13X6rz2/nGNt5f1ymK7zWJHoEQdy6oellCsXHjbgPVY72p9Vo8ho/tjGG3IA1JZkZ5WFCJ4F6zE7Qjj0DzxjjyQ3SP2u9zLDay8iLkgsrG5y4uMS3Tl7kxBk4MYBTl5yVmw8pPiS5iGdMdtogLMSR946MgOEa0IajczA75/O4wjrm2xEb/YLz6z6UeXcnYuAET57KeeyC93wjYDGGe+6B77r9do4dOsKxhYiF2Q4WSSvyBd7hHokj7b3+KqScah+GDAIG9X1ReeThXrsc67iJm2XBfcMauSacc3z2s5/lIx/5CB/96Ec5efLkgVY92e+Tfj2xE3WRvca1VGeYJKcVjhPeL8yoHU3TCAsham1JGCmTXO58WGvrFblWsp7EwuMz/hg1DV04B/2srMOeocsAQCtWI3mn6rNZ4ZmTYXK01nJ+pceFlQEnz57ii4/1ePDCSGvxZsdt+Pq2WIOVQOFlt44swuGOZLnw9YXDDHQEt8+3OZpqzm8UrJcDhIWVDbiwWoU3u7B2Ab6RwVJ1jDuAVzwbXvaMQzz78CKz8/N0U83iTIqS3ivzIW1fwxhHvidcUJppkkWCgQvevGDzYmk7zOVxPdMbddG93/PtNRFo/sIXvsArX/nKvd7tnmG/T/r1xKTV4NWsEHdiIK/lQ9r8DpsZjJu9t2Akmsf2eRLf/y2SvtB6PEw56XhNbc9gPEP7mqZHp6SoPTHnfB5mWILEopSqywHC2NqJRklPRe/lDulK+oVPDzgEtsw5dW6d0yvrrK5c5AuPDviLZd/b7GZHqGG7XUN3xnttvQ1IW572/4xDMZ1WB2UK1gtDyxX0rWAmjpBKcn59yMWNkv46rPVgZeDZlguzcHbZtxJaAW4HvrML3//dt/HiZ97BodkWmVXMpYIkSQDqxZGUsiYHuYr9mpuRIHZUdYDQSm66T2EsstFg9IZowjhuBm9uv+fbXTdNPXfuHMePH2cwGGx6XQjBa17zmqse2BR7g0sS2tb3Hxunx0/CJIO2EyryVuoM2zWUl9tuElvMOr+qBkZUf+k9ukiNSgisA4QkUp71qKXDOp/ov6wqSiXz5VfnEgFY62qxXCUEZWnJqtcKUxVtK0U3lfW5i5TPt5XC1V3EQZCVDmtKlno5nUQhnKE/yHj8zAonLl7kqfNrfP1R+MblT/tNgQV8fVsbH0ZMImglPl92x2HoW7h9NqWbpHR1RBYppCsYOsXGygYXByWJc+TO18d1ZsFpGBYgSsj6cCSBGQfzCTzrOTHfdewIx47eRpomJEnCbBzV3biDgLZfrAU1HFuxawXtWJCX/l4Khi8zo5xtpFWtSQn+mofC/1IIWvHkReCtzIrcK+zYyJ05c4b/5r/5b3jggQcuea9m2B3gUOWthnFWVWia6biyJzbJoO3FQxfCNkF5pDmOSWHISQa1+b2aq90gqaUrHUCDl0zyXlf1WUZhxLB9sxg8/Gx2CA/F2TqEKMdYl9YJwEs6lRXj0ht5r0yv1KggvTR+5e+co587hmVJO5Z154Asy1jtS8rBBg+dWeKbJ89x8jgcL2/ugu7DQIk3bha4PQERee8taoHUMNeGuw8d5vauZs1EmDJjmOc8dm6F1SGUGcgIVOQQCRzuxiihiIXjSYasO+jjW+jcdSziroUZjs7NcffROY7MtcidrhrNytrbss57/P3cr6Bi7T3+YeHFs0OUQgooqkVWYaqmueE+qMQHpPCh6KwwFEXB0EgW2grr1MRF463Mitwr7NjIveMd7+DLX/4yH/jAB3jJS15Su/JT7B92EkIMfar05Z04YLJB24uHLkwGXj1ipLw+rj056fjjxJZxBqWsQkg++V+1LWmwPX3IqdGoVUpEFYIMCikhhxdCn0EcWQlXh5WaBk/jV+7Dqk+YwBEpX5OHqIgK1TFK6ydLa0qWeyUCRzfVDAvAOYo849zykN5gnW+fv8CXHxrw7Y2bO/f2HXjqfyxgyfkQ5W0pxHPewCWRb3kTS+gmMUI6VnNH4XI2+kNO93os96CXQUt6huVCW7HQlpQuJZIFUdLhWUc0re4AYw2HOl2edWiRw90ZDi3OcMdi27NkLSRaeAFsIeui+2EpKu9MoKXFVvJcvlZx1BsQIeuwYqohLy0CKEu/kiqMY603ZLlvkFjmuymlk1NP7Rpix0bu05/+NB/84Af5e3/v712L8UyxC+wkhCilJN5mF8FrtYoUwteqFQaC0nrQgWwatknHb37XAOO8kXSNbTaHLTfvw+cKfY7M4UkEoTbNOu8Bjh+zJhBUkYqwik8iBcKxnpk65zabqEpCzEvxGusYFuWoDAHLeuaIhGFQOPoZzLdhpZ/zxJkljp8/yzdPbvDUU/AwN2/N23fhDZtMoayyHscimJ+HuTlQFjILsykszrXJC8fQOc5tDImkACTDbIAqDJH24cdWCrd1I4YuwZgcK0qWcsfdHc1ip81t87MopTk2mzA/P08aa2bbcc2ClEoRV55caX09W141p80Kg0VSGoGUdtR30PpcXWkFM6kg0qq+X5Ty2+WlpbQ+PDkofNmIEr4UoZvIG5ZUciNgx0ZOCMHdd999LcYyxS6xVQjxIJdDBENnKmNU5yquYFgvyTFWock6V1bpRioxYlUGgygaIUjvqQk01FqDIYwa9huKv1Uka09RCBhUocZBAbIyVNZarJC0KrHeYV5Wws5uU32ewjIoHS3tWMkF1jkGWcFab8jZC6t89fgJHjqe8+VlLx58M2IBz5Y8MgfZAJI2iBha82ALmJuBubamXzjKwrBcgM4cCQ4tBabIkElErCVx1KYTR5jSMsgGrPRyzm4UtCKJ0JBGMc+Z18y0vbfWbreZbce+S0OkaceSmVaEcX7xois5tSDEnRvqXnylsWgt62anUvoFUuQcA0dtHLWq2uc4byQz4z33QWGwDlrKYHTEQlvRbsUH7tm82bBjI/fDP/zDfOxjH+P7vu/7rsV4ptgFtjIMO/HwxrGXBnKrfW1FTLkcNonNikDj9xqVMNKNVGpycXYwXtZBoqna1HjiiV99+5CiEg3WpVSoxhhSDasFxMoxLBzW+mJtrT0ZIS8cG8OybpyphJ8gQ0cBnPVsS5tzYTljZW2V8xtrPHxqhUceg69d1dk+mJjBt7qJGBWsRy04cgRmOwnC5UilKU2JlppYaYpswMrQT1LClWitmWm3wTnaWpE5mFGC0oFLFOvDjKjbxuU53U6X+USz2OmyMNPi6EKHbism1pJhYT3xpywplaaXGZJIEWn/3zlHWZas9Esk1oct8U1Rfa9AWYe1I+XrGiNt6ugBjPLOuaE2msPSG04hYxbaEVGspwbuOmBbRu5LX/pS/fuP/MiP8Na3vhVrLW984xs5dOjQJdu//OUv3/YA1tfXef/738+DDz7Il7/8ZS5cuMDP/uzP8r73vW/iON71rnfx+c9/Hq01r3/96/ngBz/Id3zHd2z7eLcSdksSaQrEWnYesgxGLRA2mq1hdhP+HDeSwXgHCbGgKOLEyIAFry4YNRiVGSCCZJJvfZOXDrB1zk5VIs2SS8kxgS6e6opckBcY5w1trCX9PNDJHZmRzGjYyBxlaRgWglha+gXYMuf0Usa55TUePX+Wrz+a8fjazdfE9C48oQT8oqLE58zaHehEsDAbczRNUdEMa8OcQdbj/FqBFAXGwZEO5A5irVBKEmlFYsGqiBYlRqVIW2CImG9l5EQcnW+xOLvA/GyLmU6LONJ1OxutJdpZZrRiUPgbKS89UShKdEUqsqwNLUXpuwzMpL5GLpSYRFrVv19aJuO/a8g7y4r8JPALp9JY5lK/ZNpOXnynOMjRm/3CtozcX/trf+0SBtyHPvQhfvmXf3nTdrthV168eJFf//Vf56UvfSk/+IM/yG/8xm9M3O7hhx/m3nvv5WUvexm/93u/x3A45L3vfS+vec1rePDBBzly5Mi2j3mrYFKLje08BE3SR7SLB7FuJ1OJCgdVj+0Y2zBpNItmxxmPzdLOYJCVBKoSgXHWZTN/N55zGy9YD987EHQCASX0qiuMD00OckteWvK8ZGgk3cjSzzWxtMRKUhhBO7IMCokWloH1ubilDU+WOHNxlXNLF3nw8XW+9jQ8tfPTfKBxJ55AEgHdDiQdQPiOEFJ6lqRM4XCnhVQJcazJVzc4vWZYW4LMwFzqe7/FMSAyjszMMhenaK0ZZn2WhiWHOwVxpNFaQ3qIw/Md4iTh6FxKGmtP3Rfeowp1aamGzEgWWpbVfuGJH8577LHyJKNWJChKSUsL2ok3kkKIWhRACocUctO9BZsXlFJAURas9UvyoqSdxsy2Y5I4qr38Ji6nHrRdg3U10ZubFdsycr/5m795zVYFz3zmM1leXkYIwYULF7Y0cu9973tJkoSPfexjdUHhK17xCp773OfywQ9+kA984APXZHwHHVd6EMZv+u08BMGDu5JA7HYluRyNPlpXKBC3joreD1JUnlhFDNFV9+SwH6Cm64f9NcfVLNgen4yCwRwXyW0aWC39/ge52aRdmRWG3sDrSA5yQyeNMCja0ochu4n3PAKFHAQtbVnt5Swtr/HwmfM8dOoCZ56GhzdGihs3A+aBI3jZrRyIPD+EhQ4szEkSldLttNno9Vkrco5fXOVoO2Zdx/RsWZNNIgWZg7kE0kSyONNhcaZFGkmKIufp9SEaB2KGu47OoaIEhSEzotaHjLTysmpOkmiLcRJpDbnxrW4KpxDSopD08hKhSowRzLYEMtIcrvJvzSLs0OnbMYoMhK4WTfJTUXpy0tJ6QW5ACVl1HtBEejLRZDfP6jimdXWXYltG7sd//Mev2QC2YzzLsuRjH/sYP/ZjP7apYv6Zz3wm9913Hx/96EdvWSN3pQdh/Ka/3EOwVbuc7Rw7GIxwDG8kZO0NNR/crYggtfK/8G+W1WTXZE8GQxQURpqGsxkWBeoJytiR9+YnJR86Kmw4nqyJJ6ZaqUcKhPKEE+ugnxlfXC4sy72CtX5OpBXznZg4jj2RpO+7dG+4isxgDE5KbFlwbr3kyeMn+YsnT/Gtx+HJzHfpvlmggGP4vJus/neEl946dgTuOjLHQqdDKj1pY3V9hSwryUpYokQmmtlIw5xkppPjnGQu1SghkbHmUKSQUtLPCwyaxZk2QnjG5KG5Du3E59bi0jLTimhVxBSffzNkpVeeCYLXQ+t8gXkkKJ1AVQYt1t4YxQLy0hf7h47wifa1lqGswHeTr+owwz1dtV/KS1vn/pTwotuLncrj3AKjqIHf324M1nh+PvRAvJyqys2ObRm5D33oQ7z+9a/nhS984bUez0Q89thjDAYDXvKSl1zy3kte8hL+5E/+hOFwSJqm+zC6/cWVHoTxm/5y7MVxg3ml8Enz2JuMVy2PJYiEu8TIujGD2zxmIKMYIZAyeFoVU60yakJQNzzVEgaF/1kYX7PW1KsMbMtwvML434sqn+fwrLgQ2oWKrRlYmhiM9ROkknBhvWStl5EVlnaimWtHRJF/jGJt2ch9zdcwL1ntlwiTcfzpNb76xLf5T193nCpuHuOm8XJYEdTEHAscavk3jx2FTiK5fbaDdBLlDL1hQYGirRSriaOjDERedUTLhOcvpDipSZRE41jKLYm19KSi7QRGStpKMtPq0m63uGOxTaed+hIAafzCAkFcDUhiWeqXRNJhbIPaL70KSRpFCCHqvFwSqfq+bC6ekmgUvobGvV55ckr4vOugcKTVrKolzHWSumv45YTAgfreDvtX8uo7ejdLabZbOnSzYVtG7h//43+MEILDhw9z7733ct9993HffffxvOc971qPD/B5O4DFxcVL3ltcXMQ5x/LyMseOHZv4+SzLyLKs/nttbe3aDHQfsJe1bJPo+TAieIwTSJrHlrhNxmvS+JpEkGA0gwEa9xxr0ksjZBp+hve08DVKsQqiuVR1S6McXdOIBvgwUzWp4Eaq8ZUxDccojWVY+BxOL4NhZlCuYJhbkkgw144QUtUToc/jlOS54UI/Z3l1wBMXLvDQifN8+tGbS61kDu+5zbWhGHqZrXbk/07n4Y4ZmOnOEAtHZhyl6bNWZOSlI0kiHIq5SNLqKGYiTSESImlQSZuOdlhirDUcjuBCZjgaOUqnmEkiup2E+dkux+YTlPb5LWMrDcmy8t6dwFmwSNqxJDfQ0v7aF6Wp7suqIwWbiSU1QYlgiPx39l3jXS0a4A2hfy+wJwH6BcykqpbyamrGji/sxhscjz8PV5tj24n4w82KbRm5z3zmMzzwwAN8+tOf5mMf+xi///u/jxCC2267rTZ49913H/fcc881HezlVjKXe+/nf/7nuf/++6/FkG54jOevmqvL5gPZxCSv8UrlAJMYm54EMjJgzdBKcwyOURgojE8Jn7cTWEonfChJiNpTK40lK9zIm6u+20iuyZcPwGi1W5jm5OK1BU1ZsJpDovzG/VIy2/Zhp0gritKwPjRElWbhRmbp9wc8fuo8Xz9zluPHDV/ZgJtlWdUF7sZ7bgle9X+uDbPKhybvWFQcnW2TGY0zQ06vDFjLQCloK3/Oh/mAloC5uTlm05T5dofSOQbDHOlgUAhmUoWVglYScWTWgk5ZbEtyK9nILKnyEmjzHYWSGlmFxhNLLY4933IIJZFC05U+7A3+Z2F8UXYr8WUA4d70eqPU90rFD/afs35B5EOWVWeKioEZq0rhxAg62ocGdeNZapKgxiMg4XXYYkF3FTm2K4k/3ApszG0Zue/93u/le7/3e/mX//JfUhQFn//853nggQf41Kc+xUc/+lH+z//z/0QIwZ133sl9993H//a//W97OshQphA8uiaWlpYQQjA/P7/l59/97nfzUz/1U/Xfa2trN3RB+276q20F25joQwgw2KpgTJxjkwe2GwRDWhhfX2as3EQIcW6ySkkzrxb209TRNFWn76BNGYxibgLr0odNg15n6OdVhh0y0ruMqrq50M3AWcNqvwCgqPKCWlj6xtFNR+NxznnNycIw6Pd55NRZvvT4eZ54Cr6+q7N18LCAF0uex5cCSAedBT+BdGY9weTwXMqhdkphNEUx5OmNnCyHMgeRgFVwZLaNwdeiRVFKJ0mZSWMsgm6sMGgSWSKjmKOzEicjHIJu6hmOG8MSrQyDUjBThRCz0udQtYR2LBkUftGTGR+KDvdHYArHlQhBVIXDhWjKubmaPCJqJq9/ZVj6+rmsMBSlz9EiJJ00Aq1JIkVT5DCEO6XYWsln3JMbN2jXWrvyVmBj7rgYPIoiXvOa1/Ca17yG9773veR5zuc+9zn+zb/5N3z0ox/l3/27f7fnRu6ee+6h1Wrxta9dWib7ta99jec85zmXzcclSXJTaWxe6cac9P5l1fXdZtWQgCsxIS/nBY6jaZBMyPn5NbEfr3V1Xk1WS+XAqKTR0kZXSf4wrjA5BR3McCwpqsJbPGGgqGS8SuOtYNCvDF6jcw5LCFNW/dyKKoypFJH2hjEz/liZESRF6XORpiTPMlZWe3z76fN8/qvLPLh2c7Amj+CN2yxgqIxaF7opzMz4/GpXQS69mstGnmNtxoW1QUXcgHYCna7kSLvDTNIGCaYsmem0uG22RdzyupFZXsX7SLh9sYMQXgR5kFtmKrZkKzKsW0WqbN3fLSxSrPNeWqodpfNhbIcY1UpWjNl2GpPE/l4Romp0i19Y1Tm2ivCk1Sis7pyX51rPHMY4EIJusnU4cNNzKCcbq3Ejpsaev2vtZd0KbMxdt9p56KGHam/uU5/6FBcuXODQoUPXpM2O1po3vvGN/OEf/iH/4//4PzIzMwPAU089xQMPPMA73/nOPT/mQcaVbsxxlta48PE4EcWvJi81UuNMyK10JEOIxxdjM/HB9GzLUZI+5DL8SjkYmVGoxrgRJdvn2Ub6ka45rooAU5hRWLJ+XUrfGboK2Qxyh7CGvvHagVJ6Rp2xfmVvTKVa4WztocXKf69E+1Yq3ht1tJ1hte9bqayvb3Di4jKPPn2Bhx4p+PNR+veGRQI8C+jE3kgNC9/qxlk4vOg7aJeRIB86VnPopN5zSqratMV5SWkFkdLMJZLSKeYSzZGZLp1WQlZYknhUFJ1Eirl25Au0nW9oGysQwms7JrEm1hJjI2akDyEGlRIlRd3Tz1iHFZI0qhqcWotwFmu9Ukl9rznPrHRQN9e1TuKc7yZu3CifFSkv6o3/NN0YSiNoxRKtNe1EgRhZuebirxmp2Kmhuh5e1q3Q5WDbRu5b3/oWDzzwQJ2bO3v2LEePHuW1r30tP/uzP8vrXvc6XvSiF+1qEB//+Mfp9Xqsr3u1vm9+85t85CMfAeBv/s2/Sbvd5v777+eVr3wlP/ADP8A/+2f/rC4GP3z4MP/df/ff7eq4Nyq2ujG36v8WhI+bhi+8N4nh2GSV4UKtGcDmgzaNbQjxjJNVmmMJ4SDjxnN/ovbOwhgjNSoZaIY6k+qOtZXYrS+xppL2crWeYG43H9tYP3n2C4cWlswp2rHXQsxLiylLVnsZhRV0YkEcx8hIeSknW7LUKymyAYWRzCS+99vG+gbnN/o8cvIED37T8LUMNq7iuh4ULACHgBRP1phtwfyMb09zdEah4i5rgx6r6yWF9ZNI4QSJzUlUh9lUocQcWkMaxzjrQEVooTi00CGJI/r9Pis9Rzt2JHFEK1Z0U02r9EX2xgniSNFSXl0kjSQISTcVtefkPS1ZaY96w7M5NOj1JbPC34u6Inr0MuMVTpSvWYuF99A8u9bf95EK7XP8M5UXJf0cIilopclInJtLF5y1YRuPVOxUwq4RvRh/9qbYPrbVGfzOO+/k6aef5tixY7z2ta/lda97Ha973et4/vOfvyeDeNaznsXx48cnvvfEE0/wrGc9C4AvfvGL/MzP/Ayf+9znNsl67ZTwst+daq8VJnXLvmSin4Bxz7Awo5ozGJExtqqdG29/E4yVwBu0oO5grd3UqTuwG0O4MZBGAiOtWXcXBHObosvhGHlp689EWtV5kNJ4jyBSouoEYHHWeFmuyEtEaSXJ8oKlXkmvP6B0kk6iODob088txnhiiXOOixsFiXJkhcUUQ7599iJf+dZZPn3i5ghNfgdwNAadQGmg1fJeXNSBozMxsVDkRUGGQ+WGldzXkrUiXweXKEkrbYEQPPvwPGkak8aalbU+DkkaC+Zn2igpOLcyYJBZYg1H5lskcUQ31f56VPeIlJUupBr1d2suysL9FULW4zqlgSgyzMtaxcQiGWY5hfXklk7qc37OGoalz9cF3dPSeIMLviQk3KedNKqjCs1webg3YfQ8lWZEpoq0mnDWt8bN0BUc9n++3ZYnd+bMGTqdDvfddx/33nsvr3vd63jOc56zZ4N48sknt7XdK17xCj7xiU/s2XFvNmyV3J70PkzeNhgI40a5rfFc3ThGBJWRnJexnqqtlWRY+M7HrsrJ1R4jI5ktT+MWm7zLpk0ORtAvnitPUFLn4ayDOBjjqpC81rSsSCOREuROkmo/8cTO0OtnnF7JSaSvr0q0V8M4v17UK+kiG3B6uYB8nfNOo23JqdV1/vKhi/zpea/HeKMiBe4AjrRhccGzJqUEoaEbwRCY1+CEAil9qxnn0BHcOZMilaIbS2LdQpNTOOhqx8bQ0W1XCjJIrBN0WkldoJ1oiKKYQ92INIlBSIyDdqRpJSNdyJDPCsr+g9xLBsZaorVCVobNmLJeCEkpq/ITgbEhbO1bSERSMBSyro0MhmlQy34JIl2FyI0X1lZS0I4lpZOkGlTVKZwqDyxllRusFlMhhB4WctWha2w3l30r5MuuB7Yt0Bxyb+9617tYWVnh2LFjtUf3ute97rrVzE2xNS4XxmwqghAevgnbBgPXbGTa3M9WifBmiUDoPh4o2Vp6NqWvX2qEIMXm425VdwejAl5XlR805ZZCTiWMgypMlJUO6xxp5Cc5KQWRcvRzb2x7meHsWok1Jas5vsmmMawPBZKibrNycXlIL8u5OBhicsPxs+d56FH4q+1LtB44HAIW8YXccx24+ygcXUj8ykFr5hLN0AjyrM/FQcZRJTjcbbGeRAxLg5ZwuN1FSEWkJEmSMMyG2AIsjtm2opVE3stWkkj6RqRBQabVarHY9VqOzXsnUiMBZBjdc64q6chLW5Wr+O8RFkO5CQ1MS5RSzKQ+T2adN4iRVnWIc7al65B5Mxw+LDxjMtF+BeWP4+/bWEvSxpjGMW6IbBUaDe81PbHLMZqbEEIgnKUwoOXImF5rMsrNhm2FK5twzvHlL3+ZT3/603zqU5/iP/2n/8TKygq33XYbr3vd67j33nt529vedq3GuyfYb/f5ctiuHuT4Npf7XAgfBimsZoHqpH2OkuWbhZXDRDRSNNl8jFDnFknfpgZn67KAQPQI3lVYcTe9ymbosqk5WbPbqvBQmKDGx22s97ziylvMfFdWT+2OFNZaNoYlwyyntH5SLPKMc+uWmcSho5heZvxYhfcE1zaGnDx/kcfOnuPJk4Yzy/CN3VzYA4IUeDZeE3JhEXQKt80ouu1ZupGgtA5sgasYpzkKa0qkjrmt22Y+UVwcGBSGbqvDXKeFc5ZBYVleW8WpmLlUc/dti8SRRmFYGVgSLTg8myIFrAwss6mkXYUz6wLs6r6N9UgZJCxgSkvVk82RaEEnjWpmpLW2ZsOWxtYKI7GWFKUnE7Vjiaq6xo+HNMM+QjNTr4QiKY3dpG3aLBYP912zk/y4xFzwQsefl52wkkO4NJyXGzGEud/z7Y6N3Dicc/zlX/4lv/ALv8BHP/pRhBCU5cEO4Oz3Sb8ctnMTj2/TXAlPMkCTlP0nGcKAOlxYGaTmA2wddVJ+/BjjYwiK7eFhDnm2YDh1VQwXjh0mlJBjg81GPIwheIshLAl+TFvl9IIu5TAvGeSGflaS5QV5aekNMpSOiKWlRIPx+ZpYeSP55OlzPHjyDA8+DI8wItjciHgenjU5NweH56HbVSTKYZzijrk2UdTClobzwyHOWebShET58otYCrqtDkkc45xBioj5tqbbbdXeVW+9T4lmvqs4NOdLAEJeVAjBTCuqDVhpg26kJNGbr1dQH8kKU6vRpJHP1YWFTytW9X7DvV2UfnutZE1Uad5LWvlFVrjVlRzdM6HFTlY62rEkjnSd922W0TTzglsZp/CZcM9Oel62i3HtyRvRk9vv+XZXJQTWWr7whS/wqU99igceeIA///M/Z2PD88puu+22PR3grYbtxOG3yq1ZN7k1zlZqJM0HZlI+z1V90upjcmlnguY+gjGpvayKTTksHEpYjJVVKEjUBddSjPJtgUgQxuLnw9Gqd1QvN+pIENhwtiK4hLyMtX77QAM3xhu3vLReZDkryUpHnhVoFEjLYhcubEicKVjplSxvrPOlJ8/wlUe9gbtRcQR4toLuIZhJfT+3SEGqLTrt8Kx2G3REWRYMygxczrAwdGLFbKvLkSSlcJZYa1IFuVXEShJFvhB6scqltiNAao7OaJyMKI2tSSNaeQq/w//dVhVLsrp/kkpdBDaH8ZrEkkRDVlLdU37fQb0GvEFJY09eCfeoZ+kKcN4rK4rS1zgqh1MKakMEuZHE2tVhTn/P+/vSPyNi0/OxFaSo9Fm3WFBuB6PnyueqA24Fyv9eY1tGzlrLX/3VX9V5uT/7sz+j1+vhnOPw4cN8//d/fy3t9YIXvOBaj/mmxnZu4vFttjJATUwSW94ksyUvPa6SwncK2GT4NrenCaviEJrZVINX5cVwlqERtOORMonvOTdaIftxh8+L+nuN1E+C3qVEEoygN2SmDitVlHI7GmNuQGJYHxSeZedGIdWBtUjpRXGTSLGRWfK84KkzZzi+2uOJx/t8YxlObevKHTzcATx7Fubb0J7zhi2KYlKlUcLSKxwzVJN6MWQlKzFlTiIjOu0Ws62YSCiMkCy2U9JWgnMwIxzGSeLY593aifYeUtVJ3QhNJ1YMimpRQ7hXXG28vJqIv8aBcNRsqSSqRVPIZ9W1kthqIeQQQm6KEGjVaKnkfPNaz5aUlFXOrp97IeaBFXQrJuVogWexNDRVq1pLITaHHq+EK0ncbQebnqupUbsqbMvIzc/P10ZtYWGB//w//89ro/biF7/4Wo9xistgu+GL8Yem6f1psVkXMmBUKD5KojcNY2hgOgolVpNZFWIR+PzJsJC0os3vhYaqNYuuGqDWsg7LjIp0fcgHRnqT3mv0BIQQAvXfBYyzlFXoSuDYGJb0hkXF9POTaGZ8nVOcJGxkjkFWsr4x5OzKCp95+DzfOg2PX4PrdT2Q4EOTd90J33F7C2dyelbiioJjMy2EtazmJWWZ0zeCo7FkMIxA+J5rSRwxn6akkaadtpltR8x0UpI4oh1LssKXVcwk3kNyzmGMqXNVSnhFmNlU4ISqQ5bWWgorSJRlPfOet8N7dM550eTAegyh8vB3b1jUpQVJJOtwYFDA8UbTeiUSF2rcfD1jjK0p/4kWXkA5Cdv4c+YJV97wBjvZDKOHXNx4d47mdlcjezcOKahDtYJLG6zuBDdiiHMvsS0j99rXvpbXv/713HfffbzsZS+7JU/UQcV2V3whye6NUvVwC+/9XW4fzffCfoJhLMxIhUSKkG+jVocorSPWvu4s5Pby0mKsxVqvGSireylMkIVxxGKU03CMWuGE15o1c/VExyhX6PC5lo2hoSxL1gY+B+cQdBNJ4WRdJ1eWJWUx4Kmz53ji/EUe+nbJXwyg2JOrc/3xbOD2Fhw6DGkCxhQMreBwt41wjlbaBZvjdEJerDMsDau9nCNdjbWK5QKEycjKhLm2ZK6bMt9NWJxJUUoRK1gfGrSucm2y6rmHZKblyUZKKeKq7CCNJKX0+U3nHKn2TUxT7SgspNovsEIurTR+8VMav3AJnnyIIGjhsE7VBsXnZCsjhAThKIzF2lFJiHU+fJlocE4zqyxUPQTDgiosgHw5y8jbHEUF5KbOAM758TeJWk1VoKs1LOE+FuLq2+Tc6l7htozcxz72sWs9jil2ie3k8CCww8IDupmgMi4Se7n9h7Cof23EMLMusDepSwdkWPVWlH6qJHxpwFWr6MCihNHKddMK2VkGxtSr6RCeGhSQRlWdkxyFTUtjvbdofMPKflaCLSlKW22vaEUjSvmJ5R4PnzzLn33tAl9fhgt7cE2uNxTwfGCxA60uzLRAec1gTq+XHJmROBRzLUc/y8iLjDTy5zGVkkhJhExZnFGkScp6UTDXadNNU+ZnOxzuaqIoqu+FduzYyCo5Lg25MUgsWkqSKGqokFTXSymUBSrx41iBcZJOXDFlKyMV7ptYuLo+M4QupZS04hDe3Mwy9ASnKs+GY1halHCISrYt5Gi9oRPkRtV5PghGyNW54TSStZRX8B7DtiORAzZ5gc2fsHPDMsko7lWbnO3OETcrtmXkTpw4sSvV/lOnTnHnnXfu+HNTbB87kfgKCXEXwjKuQY3e4gEYf2+TenojD+jsKN8SqVEew7owPVQrXSlJIl8onpWOljCjztzWm7uwmgc/CeaV1FOkvLyTsX4coVA3hFr7mal7fbUqXURjDOsO5juyJqCs9Y0nn6wN+NzDD/PZr8Kl0t8HH4eB24Cjs7BwCDqp15g0AmINrTghlhlCtTnSTZBS0zMFUuSsl76weWgk1jkSCUIJBBGHOzHddptOK6IT+zxnrHyfNIWhsIJWXHlpFhTOt7sRldGyFiUleWFA+LycFIAMRfwSDZUgtqtaJUFhvb7p6B6qPCfrr7N0rl6YBRWboEqipCA3Pq+bRp5VGauRoXX1fViJhFuHqJ6D2tMS/t5U1bGDfmbIBRZGjiIg6vIMy50alklGsdkm52o8w1udrLKtNcJzn/tcfvInf5JHH330itsWRcHv//7v87KXvYzf/M3fvOoBTrE7NB+aZm1QYJ4FevRuMV6KMGlVa633qpw11SQzapIaujf3cu+thcaVoawg7COSvuWNcAaB2xQyGuUsvLTXIDe1jJJn3XlSRTuWpElMKxJsDC0XLq7whcfO8EeffZjfvgENnAaeAdwTw7FDELeAyItUF/jFxEwn4ra5Ds84dJh7Ds3irMCYDGFLtBS0pKBvJN1WQidJSZIOhxbmuPv2Q9x5+xEW5jq00oTCVnmziupv8SzJWEuE9IYueD6R8tcw9Grr5/66FrbKf+oq5Ffl8VSja3wQxs5K/3ogR/nGtT40ivD5Wr94qu4BOyoUL42XYcuNL08IReXNe1I1QuGwOQwf7s/mferzhLI+TiA0XQ67MUiTvMEmxtMGU2wf2/Lk/uRP/oR3vvOdfOhDH+KVr3wl9913Hy9/+cs5evQoaZqytLTEY489xuc//3n+43/8j/R6PX7yJ3/ylusOcJDQXEk2cwjRDuTzdvKwhnAohAdRVBORZ9VFFYOORhFtbiSJMvRy6CYVEUUIrB0pmlgnaSU+xxZJH05y1nsTElsXfDtrqlIFhxKafgaD3Ixye7ZkeSNj6cIFPvPYKR7/NnxpV2d2//AMvELJooYkhUMLkANF4Xu2WQFJFaZcaM0w22oTKENSGtZyBaagVJL5KGGxmyJFRDuKODQXM9+NUUphXXXuHCRq5MkVFVuRynB4MpCgE8lNhdXgDYbvNuEqYtOoZg5GMl3NysPAmswNxHhjhfP5W2MFrajZV9BVTXNd7fFIAVlhkVW3Cy/5ZWv9S5/r8zlhT5ZylVfnoxohP+c7XowMbWH8QiyO9CU1pE5wCZNyNzmwSd7WViU+U+wMOyoG//jHP86HP/xhPvGJTzAYDDYV6gJ8x3d8Bz/6oz/K2972No4dO3ZtRrwH2O/ixOuJsPoMOa2wst2O8bqS4HPYf3g9TBBBgDkU8xrr26KEiS1so6Sgn/v8CVV7lOZxA/My6BUCNdMu6AoGj3JYWCSWYQmdyNEvIM+GDEqBdCXr60O+/fQ5/vLhJT5/Adb3+kRfYzwXeOZRONSFoYB84A1dGvv6tDiKcQiME7RUxNHZFlrFPmfmlGed2pynVgYcbmnmZ+a4c6GNld7Dne22mWv7bgAbw5Ki8LJmsy3tm4IKWYcHgzcTrqlWI2WRUFOWlQ6JRUhVF3BnhakLtYP6SDAiuiKX5Ma3NTJOVFJbo1q7ZsE4MBIXqPZfliUbma07BIRjNMWd83J034S6ziZDGNgUTcgKU0cLlFL1vRrYwaHEofls7BWb8UZUN5mE/Z5vd1QM/oY3vIE3vOENFEXBgw8+yOnTpxkMBhw+fJgXvOAF0/zbAYStSSbUBm67MfpJ3mBuRtJgzjUS82L0oAe2ZQjzRKoSRNahJm9EJmjHm0kqoW9cyInASKkiEFGsKelnlliBVgoHdGNY7jsiCWtDb/DOLg0xtqQ36PGNE2f4868bvnltT/ee4zbgOzpw2xFYXIhInWNpWKIFHOooji4s0lGKoQXKjHVjmU80FoWkZGkoONrWLMy0GRZduvGAoZMc7sREccJ8J/ZhxljVyiOt2LMXZyoj4OvNrGfCOktZ9eOzjk3hY6g8HKm8cS0FWWGJpDcM4ZqG0hFrHVnF0PX92ByRCtJsjsIKUg1FYNM2luMh1xbrinVrne8iUBWct2LP6DVBZFmIuo4vGDgYdSoA75GNWuyE/LKowqXUAgQC/72l3NwVIXhu232+rmQMg3fstx0dY69LAW72EoNdKZ5EUcQrX/nKvR7LFNvEuNRPE+M3bHgId1PD06yTC4wyqAynoyZ8lFUYNDyUSoK1foXupbdEzYRUnuVd5+zC6t9YGBbecBVIpCtYLwVaWLTWtXSUsSCkQimB1r5x5SA3XtNQGoZGEouS5b5hY7DB8eVVHv7WCl+/AE/t1QW4xhD4OrejM16CK9EQp+DyEtVpcWfaIrOQKkiVoJcVdFoJpU64Q8dsZAWSkrN9y+FOQittsTDXoR1LctPFmpISjRaW3ErS2CuXBGk0x6h/my29F22cX7TkpURJe0noLKoUTCxeCDsQOiIFWlZF+moki+XDyIFAEhZSPqSupb/GqfJEmlgDVTi84q/U9721vpVOXloUBov29XtCVvWgCo2vr9Si0V2+UkGBURQiKwwCSRqIJ26U3w3M3kiNFnF1PnoCO3k7huNKYc1LUwCX3363uNlLDHbdGXyK/UPQa5xUP7PVqnJcqWS7CPsLD3jIifjVt29OGitqGn/wGMuwAq0+B9QqEmH1n5d+sjSmUrHAMiy9d7fad34fztIVfiKzzh/LWd/gUgvfrbufW4ZZTi8zOGsoi5JzFy/yZ98+zYOPwZXpUgcHt+FZk/fc5cORSQyDEnIh6KYpM7Fvb9O2hoFxrOe+iNoJhSstLlK0dYlTXY7GOd2ky6H5NgszLQAiJJHw+a71QVFpV4rKmwl5MlFPsH6C9zmqvLRVWHEkjNwfGiy+V1usNcZ4bz9WoKUkNxV5iNGiyy9sbL34ClqVJRBVObpwn8bKe5KR8OML8m4hvFjaQP4XIDy5xeKZmIXdrKLSJLlEqnpfCiKlfN5NeAMfnp2QFy5NCPf7Y8OlRmzcOHhFHybm7AKulGerlVfY7DHvdeTyZs/3TY3cAcSVVoGXq58Zv2HHc3KWndGJx3NxzQd21P6maUxHupO26pUTchY4Rz/z7Uy09EXjQTA3qogNUliywiFdSVEKWsrQzyXOGvqFwGm/GvdlBaCloSwta70hG72MlX6f1V6PLz5ykc+cvXE6dS/iZbikgrkuZAIiAYXwnQOUhsRZuq0U7Qznhw4lMozVtKRjUBQsxH4RoXVEO42wxByeS5lJq6J3C60k8jVskeb2RFHYUejOsxt9E1StlDcGjbY3spLu0sqhlQ8jlsb/Piyhqy+9J2K9mZCSm9G1DqHBsP9mzrjO91f6p1npZbvAe4bBEKmqpq4VCYKWaegx6HvISeIQmixN9bmR/ilVKB+o82tNpmMzIhLUWZQcyc357+U2jX87mKSaMv68h1QDjH5eC0/rZi8xmBq5A4grhQ+a9TPjGL9hA9U6/D5JwPly2Ir11axPkurSkKljFOaxVagoKz3tPyu916aqiTTkT2LhKeSmNFgUqbb0ckGqC3q5I5KWlb4nqgwLW3ckkAIGg5zTK8t86ZGzfPMkfGtnX3NfcRfwnfPQ7sIgh3wNyiHMzMDt83NYFJEUZGVJUZasG1tpQyYsJBFOaA53W+TGEemEmRR00vLF0UJRovy/qj4sVj4EqJUmFT7EGKuKLFKF9BJRhZEb5B7vWTU6cDsDwuKsq9VKrPVeuZAN7VHhEMGTqurNIum1J0OoejzUV5TGe/oVixFGubS6DMXhCUvxKGcbyC0B1lpC09yQm3bO97cz1ocaC1N5dHqkalKPhc01cd7YbRZACGNrKp40dV8nYVJJwPjzvlsP62bPse0UUyN3ALGX4QMptlZE3+nDELY3xufAJBbrJEqOPLLAstMSTEUw8MeVJNpSlAIt8GUCzlVEBh+yspXxLKuO4v3Ck1oGpW902csMZTFkeWCIlQWpKYuCjUHJ6Qtn+JO/WuHPeld/zq4XFoFjwJ23w0wHZlNY6sNAwx0LMDc7SydpkUhYKwxFYVgVBW3hcDrmUEvQac/S0ZB0OrSUIU5SJJYk9g1LfS7VIhHMpJEvvZBVzkqpitDhX0sjX9+mpWc5ykDWwOfkIunIClvT9hESpb3AsVS+fi2E+IQYeXUgfDmBBWNFHVGI5agkIIT3grByyNc2u7qHeymQk0Ku2GuhutorbBplT/d3tYE1VtQGNnhitQ6mkpuKw8Oz0TTCQRMTRgIIwQtrPq87LQmY9Lzv1sO62XNsO8XUyB1A7JadNR4CCb9rdan7dkkXgsvkBcYZlsPCFxaVDlrxSGQXRsW5WQlp5CiNq8KK3gPtJKrOvw0KP1kWxiGlN3xKCkw1OcWyUpKXDiUkxhh6mcUYy3pmEJScXVriodNP88mH4OQuz/f1hMK3vkmBI4kPeSURHJ0VSBfT0xm2hH4Gh21J5kBXqaDSlpjSESlJS0taScx8J2Gum3D7QrvKS3nvKNKKYV56mSwtacW+/s2VBiGoi7ebYUPfPX2UuzW2Ig5V3lxRUhkOQdQI6WnZKGauCBqBzBEWPM1iairB5NKMjJSr1Ewy47cvrPPhSOlQVZmCVqEFjqujEsFI4iyDwuf/wvMQyhmCBFdhRF3eoKSpxriZnl8YXzsXQpSbyFawyVsLZKxQgxfQFF9oLiw3GR95qZLQbvPm47jZc2w7xY6N3B/8wR/wQz/0Q1elij3F3mB8xTYeAmkWgI8/NGHVPCx9PsNPvyME4xZCQ3mjQ7MSjhJJqmw1cRZ1XZMSAicEifQCzYGenTlfSiClJI0EUmpSDMMCnDG11mRRlAwLR6oBqZHOYp3l7FoBtqy2KVjtr3NqaZm/+lqPT98g3lsbTyxZiGEmAdn2eay5WU2JopPEdJ0ljksssDosUFHOOg6tI2SimUvaKCloxylJFDHTbbEwk+AC6aIi52SlN26RcnW4T0mBjCMErl74pJGsjVLIuYqqEFsJL8E1LCxUxd3BqCitiKKR8DaEHJL3AJvlIL7zg1/4BIp/YDMGmn4QJG5F1LnAYNTGu2pDs3FvVWtnA/NR1mMBqhq5YBR9q52iNEgpaxWWYBBDA1VjR2SR5gKvDlfWz0ZVyzl2nZspgqZRvJLxCZ8JQufb6Rw+CXtVwnCzYMdG7od/+Ie58847edvb3sZb3/pWjh49ei3GNcU2cMlD05BFCvJHW7UIkQJyJ+rQVCrdphu9aSiD5FJgqZWMWHJaCwa5z8FZa+mkkc/bIJDOK44UFQ29NJJ2pV6iK4muRAuGTtar4vWhZwvmpSNNNGVRsjKw5NmQ9X5Jlg24uL7BN088zZ89Ak9c1zO+O0TAPDADHEphtgVzh+BIV1E6yVwrQVSTZifROASzSUTpIIojtDVEOuEQljRtsZBq5ue6Xj9Sh1yr996ClFmM1/G0lXzWsPDMyDTWOOc9FmMd7UTXRikUVueN7hJlpfaRla7u3CClRMiRgn9pbOUBCZCyynP5zxXW61L6xU3I5flxNQ1IrAK5Q9YsxuDVuMZ9LEToOO/7CYbXEy3qovKRFzkq8lZSYKVCSUfmPAlFS3BqFE5XztYLuxDC9OMbtfyBS+Xwxo1WnSIYe+9Kxieci4Bm89hrEXa8VcKaOzZyn/rUp/jQhz7E/fffz/vf/35++Id/mJ/4iZ/g1a9+9bUY3xSXwfhDY5zPheTGodxogoAR6xFG4RLf682TDXzTyWr1an3Bb52HwJFV+Z3cylr1IexbYhlUNW3+WH4SC8QUI2VVc+dluMqy9OoRclRQXBpXaw8iPLGmKAourOfYMuf8ypD1YZ8T5y/yVw/1+ewN4L2lwCy+JKCtPUNSRtCagcMzmiRqc3dbM3Qa4QoGpeRoknJ0xotVS1cSxTEdLYmiFriEOEqYn4mZ7aSVKHHlrVTnE+eq9b+/OFpYermrmIOqoshXYTE1ao9kjKm9cV3lvRIt6hyZoFoEOUtpQDrLwGqU8AZtmJf0Ecy1FEZ4Y1u6UWd2zYhAEhqRSmFrw1QzcMcQwvBZ4UkoQlTlDkJile8EHikozcirC10vrANrqvu62rkUXqkl5PxC/aVW4hIjEzDJiIX7VjQWCHWYVOyuaeokhrKbcPy9wq0S1tyxkXvta1/La1/7Ws6cOcOv/uqv8hu/8Rv87u/+Li972cv4b//b/5a/+3f/LkmSXIuxTnEFhAaS4eEIISDZUCNpKih4Tb+QuLeYRh0TjMoUXKU1WBNKKlV2/1A6tNZ0FEih6oJiY7wnESsfEvOTk/cgenmJEKbu/IyQKAxr/ZK8KNFa45zg3LrvA3duucfppYt86+QyX38SHtmvE7xNxHjPLQEWgIUFWJgFqWHQ9yEshyLFsFxGKDvEuKqFjIND7RlEtTCwpUEqQTuRRFGHKNJIrT0ByPqawqa8ni/DcFWrG8hKxUxadWiHWuTa6zd64yakqvKiIyOUqpB/8yUfplJWM06QRJJBXnXiroxp8DqGJbRi7/0kOtTE+VBl6DAQdCGllHVur+nVjWSyRo1zy4q0IkXVk9A5VDJKmRTVIqm00EnUpvpQgav702klibSXnKvJLozGEBZoQoy8RNdYsNUsTbH5c+HnXnhEo/1fW+tzs5cOBOxIu3ISyrLk93//9/mf/+f/mS996UssLi7yD//hP+Qf/+N/fGD1K/dbS223uFIMvRlmgc31PeEz43p4Qck/JP79g+onxeANhP3AyPD55L1/Mahd+D5hAmu84kgrGjHdjHVYU7Ke+Z9B09DhdQbBiwKv9XOE8/TxYtjnqQsrfPPEGR5+HL6ceUHig4wI37hU4I0cGp51F9w5J5C6xcZwQKIkKkrIy4xIxyjhiHREK0qZSWOOzs6ONBJdVWhvBXOzCQudiDjSDAtLJ1ForX0JRqX7GFeKHAFaUvd200qOipRdFdIOGoyVzmQ4btCDDEX4I/ahq7cvXSgF8HqiDkE7lnXvuRBaDDqWPnQ56gnYnHomMX83yb1V8lzgy1CM86osrVj5shNjqiJv330gyH6N2JeW0BVeSt/cNeQMQ37SN/T1YdZQ4B6IUSHsGb5X8xm8VrmtmyVntt/z7VWzR5544gn+4i/+gm9/+9sopXjxi1/ML/3SL/Gd3/md/PEf//FejPGmw7gx2i7GiSWT3g80billxZaTW7bECYoKzrnKQ3ObmGHNfSml6kajpfVhsGAQpfRtWEK/tl7m+7UFCntp/b6yqlQgiRSt2E9EWvoJKBIGYTI2NnqcX9qg1xtwemXI1556ms8+BH9xAxg4gDuBtoAZCe023HEY5rqaNIqJ0oTD3RZRlHoVEQtCamKlmWu3SJOIO+ZmWJjvcPvReY4cmmG26gzQSgTtNKbTSpjrtjgy1yKJo3qCNi6wAQWho3VpbO2Fh3tBK1m3vJGi6iRQhSSDgQMqz2mUzwp6llrJenFSGwwhiSNNHOk6bNpkFIY8XzDAQcSg6RlZa+u6OBjVxAXvK440kVYgRt9BCFF7qAhv8JJodPwgxRXOR2ihE7qAh300xRKUHIlDD4oRyaVZJB48u6I0teHdjWzelXCl532K7WFXJQTOOf74j/+YX/7lX+aTn/wki4uLvOMd7+Dtb387d9xxB+fOneMf/IN/wDvf+U7e+MY37vWYb3jsNrxxpRj6VgnvJpohivCw+7IfgRR2VHOEY5Bbz7yUYK2gdJVKifN0/0hvrikCPzmGHmBSeEJEYX0BdyTBCYXW/metHm98Tm91YLiw1uP00hqRLDl9boVPPgJntn+K9g3z+NDkooTZORAK4gg6HZiNHEv9DDfMSbXm6OwMhYV2mtCJYiIpaadt5tKIY7fN045gUDhK51icSVELEUVpSGNdLw5QikFuqv6AnkGbl64qlobC2Hpyl8IyyH1Jh1ayKnDeXPYR8ntpNMoHFWbk5SglkW50vbwBhVS7mi3pw4te27LJvg6LJ1vV2oWQaqitA6+EoqQPO6qq3xxU95fY3DkjhOBDz0DjvPyXqsYa6uNURbAylaEPxtQ5X5xeGje6Tz2VtFp4SQaFD7U3DT1QiyCE44waBe+9Z3er5MyuNXZs5D7wgQ/w4Q9/mOPHj/PSl76Uf/tv/y1vectbNuXhjh49yk//9E9z33337elgbxZsemC3EYJsvn+5AtPtJLzHGZZNo+iqh1YJ4WuOlG+WKa1nPipxaXjJWItxtpJXGnkH/bxSIilFXaMVVv7W+NKGkF9Z3sjAWS5cXOXbT5/nqXPrnDoBX7W+CehBxSy+LKANzAmYn4eZOSgL0JGf+KIYLvQNFk+C6LY1rThlMUnoRBqhIloRCBUz19G0kggnJBqLigSJcrTTmFiBkFW38+CJKD+BR4qaTQvemy6r/nugatHlrPT1iKLKu9Y0+Ko0oBVVobiGCkmg1xs7IogIBEXpAMewGNH9SwtRRVqJG95aXZogvJdUMytlk105qmfz+Ub/+bomTvlQZy/z3p43WhIlJboio4Q2QM3mu94jhKL0ZKrQkDV4umXVVUMriZY+QC+lINGjMH4wmoFp7BV9BFp4FqioVFMiNTKwcPU5ulslZ3atsWMj9y/+xb/gb//tv81v//Zv87rXvW7L7e655x7e+973XtXgblaMe1Ow9QNxpQemqQsYwi+XQ3N/wZMK/d9GHQIUUhg2MkEkbFVE6w1TIJEE6a7w8BfWr+TDpNCJ/WTX0q726LLSIW0I8xT0MoM1JStrA3rDkvMXz/PkqXW+cBrO7ubEXidooAUcwlcX3jkHR4/4rgBGQim8JzcsYVZp4sgwMIo4Edw9M8eR+XkWZyIKp5hvSazQvn7M+XM0nxo2DLRjSTtWCKX4/9n782Db9qu+D/38mtmsZjenu/2VQICQhJD1SMAQYwyRke0kQKFABVSJBcihyqU/TBGXIwhgURU3cQzvvUrFRb3UQ6KEJRMZ+zmxbGODJDsEIckIkJCFGtRd6Tan381aaza/5v0xfr85597nnHvPufece26zR9W5556191przrnm+o3fGOPbiEbISOcQ2xgh10NKFNnBWhnqInDYOIwR6oAx9ojW6dB6Q5KnVQqlx6o8gzgqK1w5lXQtKytJbRbjoHqTQ9qRRzVVlZLk1HlQ0dN7aY9mtRWV3ALAYBjnb5nInduNWY9S5rspkSJOBr3zIgOWvOhcGLlxw+ZRaawZk9Z0s5e1VHP16KN8r7KLhjEka6FxxJBbvkarUVRhUj3ergrshTKXu5txy8CTL37xi7z0pS+9U8fzrMTdHoRO41YrueOROUp5gJ4H+jd6zvRneaAe4pi8cuQWU9v7xEuSVpgxQqCFlOCCHyDmeYZHlN8PIciCWChWredw0w3Q9IPGs39wyOOXD7h0sM+VgwP+3Uc7/vA2X9/bHSWiWLIFzBQsl3DfvfDg6Rl9gHXXcnE/gILtOXzVmdMYXbBdV1RlwentJWe2SoKy1Ba8Kjg9gy5oNm0vyU4ZziwLImpojUFCywZP6yKLStqWAY3VDMRpoX+EAYwRkHnpvLLXAJGAwU0gtzBzlZMd13OS2iSJNa1lHparpikgJSekbCaa76cMbsq6kj5EZqUk5+uZgR436833KUySYGohaq1pez/Mf7OqTogjQCT7EU4NfTsXhns/g1Sm1yQfMwjlQKvxPGTTYIZzfKbf4SeLF4Jx6t1eb2+5knu+J7jnWjxVS+Kpfj698fP/HqnWMoqMMCyIJs1LsgpFtiFRcUyYRr6RaXhvsAQ4xgkSzzgG5JyOLokJR0yhWbdSta03PfuNcOCqwrBuPOcv7vOZxy/w6OUrfOkrnj+8DBee6cW8w7FDssLZgtNLiBoO9qHvoGlbXAxc2JeKprZwarFku17w8gd22ISKe7Ytp7ZmtC4OHmi7CwXaMC+SzY3SLEolrcngB9qHkJ1FCm1eakGnahEBdkG4cXnRr4zBGk/bS2IhKtatG+ZOsqHRw7xJ5rLJfBSGlrPY5CQvOSNVZokXnpwCZcZk5nwY+F2asaqZApmkJSlt1Mx5C+FaVY98zgAkAIof2oQMCU4hQgMxeCGTazP44BECYUIIB0G8Oj+CZkhzYVE6kdfOyE+dkK3EnAxHukEGc+U4/h09ntSeSfvyZC73zOOWk9yP/diP3fBnWmt2d3f55m/+Zr7/+7+fsiyf0cG9WONmdn7T3zmuTTmV38rOy40XD62sKZl5SnUxmqI2fRhQZgMqM8EpAzLLmQ7hQ4wQA4ddYF5qWq8prXjJGS3glaZzfOXSir734is3K7i83/DE/oYvPnaRP/g0fPwOX89nGhVwD/BVMyi2YHcGXkHbSnvyYA3KBmYzw73bkdlsydlZyT07p9meF9h6yddsl8zrkrq0HG66hO7zgkhMc6dlbYdK2WjFupVFty6kgkYFlkpcAyoTh01HjIHOjWhHk/6uSlnwOydOAeL4MPoQHgVzZI5aekxraj2CUFzQlDbdK/HofQBjYsoIxqn/2eBEYQwqjPdnYW6s6pHvyaytmStAqWzjUOFqldqtOpPMs2O3HmS6JsUwPlvkREWR7KC0GgFY2cZHK8S9LqohiWfRhIxIvlHVdlwT9lYS1fHv/slc7pnHLSe597///ezt7XH16lWstZw5c4ZLly7hnGN3d5cYI7/4i7/I13/91/OBD3yAe++9904c9ws6bmbn92S/kz24ulxleQEwZAWK6z0nf7E8IygFGJLh9HUHLlGaW1RW0XSOtvdsWiXtSa9o25aLBx37+4esvWanUuwfNnzuwmUeO3+R3/80/NHtuWR3JArkC7IFPFDAchfObMHlBmoNaJiX8vdiBi85tUVZ1jyws8NyZrD1gp1asbOs0GbUecxtwdLmBVUNic2m6ihzuLI+I6TZkRHtydbLfMwaTRcZpLQqPc6diMnkVI/VS54/wViB5KpF3kkNdkwhSiWnlKJQcfT/C4JAnJKVQ67i1KgC0g9AD41BZnpGHb0Pr6fqkVuovRcpMR/SBgtpmfYxW+ZIdTkvx2o0J/AMOPEB9JSPlxK6UTLny1WeNSOdwaiJ8HO+F4zCBYU6Zqya26ADrzGT7COUVh25zjcTtwu0chJj3DJP7td//dfZ2tri3e9+N5vNhscee4zNZsO73vUutra2+I3f+A1++7d/mytXrvDTP/3Td+KYX/CRv/BPtvPLyMz8J0f+d0bDZSKw0mYg4maSd16IshdX5kNlod/8OpnDlPlRSkkra3it1PpCy57psHFc3Fvz2KUVTdPjUZQa9tYbPv6lR/idj1/k//ccTnDbwNcBf8rAa2fw8i2Yn4J5DVdbAZt44KX3GL7+q+Z889ed5lX338/DZ+/h6+8/w73ndjizu+ThswtOb8+pCjMIUK9aTx8EGblxkoiOh5tUO3mGBAk9qxk2L60bOY6yKI4GuUObTIneZF1arBWAS9aczFXJdL41rcCGOWu6p/pEH8ktzuMxvSfzHC3Pa5teWtdZBWfKs8vvOeWO5k3XZCQlCdhKSzI/Z17qgaeZ1U2m9ANRODEDZy5z7HwcRaTz+x3XrITRRHW6SZhuAvPzOz++ztBOfRpAkePf/afLqT2JMW65kvvJn/xJ/vpf/+v8V//VfzU8Zozhh37oh3jiiSf4yZ/8SX77t3+b//6//+/5+3//79/Wg32xxFPt/PLuMesJTu1BsqLF9Esi34+sNJHrgnEha50sPCGqwc1AqZETlNFunROUZObCFdYMgr19F9l0PTGIXJILgnqLUaGD44mrV/mjxy7z+5+Gz9zh6/dM4n7g/gJOb8HOFtSVtCNNAa2T+Vu1hIe2DfeeuodlaVjOZlhjmM1nnFpYTFFSapk5zUoN2qKUEzK89ngfWbWiCJPJ9rndF2Kg0JHG5c9XY80IYW+dzLY6rwceV9e7ND+LGGWucYyfLrbOh0HpJKKIimtoJ/m9Oh8xKtDFcWM0jMqSVNYRJZAEQJF/T1rmboTd59altDaFRjB93dzelCQ28ZBLoA/FmKwGWa4QCOqoxFcS0TlyjysibVAYNX5/KquH78swm0tgmpyo8ntfbzSQxRESjuYaEMutxp2WDHsxxi0nuY985CP87M/+7HV/9upXv3qo3l772tdy8eLFZ3Z0J3HdmO4+FRPNv8mXIO/k82IAMHUSIH0RPaPG4HTgb/SY5LI1SWlFtUQWKEXXu3F+oA3GKDa947BxRN8TQ6DpHV949FH+zcca/ug5rFoyQxLcjoF7zsKshuVWwVZp2doKrDpPdI5YGM7Ucx44tcu5rW2M0RRVSV0olrNSbHAqQ8SKXJlSqCjKGJpI60YFEZXalHUh0H+VKoRNP1oUFTbNtPw4O+19tlaSauSwDamKUmxXidyPLLg+bVxyFRYVqKQJaTTDXC+/9qAQkirDTR+p7LhZsnpcyEXoOXHZlEralFJ5yBxNDR0AoxVWjQlLVEWkJQzXzq1ypTaIIKeZWZ7lDTzLpNTiQhjau7kNnGOUopMWb+8z8lIqw2m1lJ+XE2hOljGma3LMrUNrPXACJY66JOTv4XS+fitoyxPgyTOPW05y29vbvP/97+d1r3vdNT973/veN0BEN5sNW1tbz/wIT+JIeO/pErx7VhrRNYxH2xzD4FyBSz5bUuVd638li2MWd44DEnPjFK7v2DiFwaOTnFOhwfuAS/M4azRN7yEGNk3PunV41/PEpRX7zR7/4YsX+HefgUee/Ut1UzFH+G4vraGYy2xttkycr67nkXXPmbnhq07toIyhUJbTy5p7T29TlQWlFckpoxV1VUp1pswAJhl4jEqnOQ0JAKKTQLYkoipZ5gwWNdm6JgbWHRg8Pur0uql9iXx2s0LRB8WiHCuXmBKQSQLbMtNKoIsQj9wvU5qCTQmsMNB7TW09fRArHKPG2axCKAo+3WzWaFo3LtxTVRKZqY0tvOg8Psi87zhfDUaVERiTwCAnp3PbNoqjvJHroRjbuSGCVWOCkbmfZlaEBDgJ9GlTMXDjUnbLxzFtl2oFfeS68+zrJayjSjLSeekSdWZK2r+Z6uwEePLM45aT3Bvf+Eb+p//pfyLGyA/+4A9y77338sQTT/Brv/Zr/MIv/AJ/7a/9NQB+7/d+j1e+8pW3/YBfKHGzu7njv9d5yPqCKH0tfHnSkjRaAAMZfi1f0jzHGxeR3I7JShKbLuK94+ras6y0UA9MapslQADBQZAqghjYdJ51F8B3nL/S8uXL5/nDz+/zbx+DzZ27jE875sDp9GerhmoHFhaqhZC6tYZLDZxdwJntU9y/u0NdlRhTcHq75MzOAqVEkDggrcO8gNmE2uuSM3eMcdBU1Foz0wzPySg/aZRJ5RCjYZZU8Pu0UG56MRRt+ojVMQkUi0v3rCpY5HZbjELPnlQkkJvV8n9aQVR6oi4yIiLz34NSCIZ6Us1MASoRJZXqMLM6qqYDmbw9zoAzkKnUUjdml4Gs3JJbnzlZZ+UVcSxIGwfvhwouI02zdmdGJAqYJbXf80YjSh9e7udx9pgjcwUz72+s7kayt1VHr8VUESV/D48mZOhC3nBei2q91Tghh9963DIZvOs6fuRHfoR/9I/+0ZGLHGPkh3/4h3nHO95BURT85m/+Jtvb23zLt3zLbT/oZxp3m5wIN0/yPE6M7XpH6wTRWBb2mht9SnrVWl/7/KS0nkECedHIgrzzyhKD59LKY3FEXbBdQR8NBs9B4wcibWEUVw5bNk3H4bojRseF/UMevXSBD33c8e/dbbxgtykKYIkkubPA7gKKGZQ1WANbC43VgXq+oPCOst7iVfed5v4zS7poUUTObVcURTGAOKYSUnm203Y9+xuHUXJNZ1VBXeihWivM0Vmc8MyyXJQ4tufWoItiRbRxanALqKw6ssjmNmAm22cljjxfGjrWMbejR3eILCgwdQjIhqeFjihthuPMQKSsA5n1Ho1WR+67HIOgQBwdAvI9SpS5YJbiOk5LOP4dyf/uXEgVbhiAJ/kzOJ5AQpTZcIjSfs/E7vy9mVaP+d/5Z1NBBJX4eoU1R37/yEzyBknnOALzVhLU8aT2fCSH3+319mlb7Xzyk5/k3/7bf8ulS5c4c+YM3/Ed38GrXvWq2318dyTu9kWHp1fJ5S9qRkJOh9zTL2aOqfpJVponuR9Pfy8vdEaroeLoeseqi+zUitYrnHMctkFscJJE07oLHK5b9g4b9tcHPHLxCp9/dMOHH4fn4jT2AWT2ViMUgHIO1Uw0G2eV7LrPbFdsVyWnt7eYlxUPndvm3KktSgMHrchY7SwqjDHMKzskg9LI/DOrb2zafkDwLWdlai2ndl9aGKcKI73zw+Yle6P5kJRN0sKabWtEjNgMKEYYaQkwJoRcDWmdnNdTi7lIJUdEQXBsnFBMAiNwREx05XgHK5+0Qco/y0CM4yjI44kqdwqmVVLuHOTW5/GkM50RDi3Qyb287kaD3Zzopgkni0YrpQZUp0Lc06eKPU82K5uij3OVNziUM87vpuapT/adfjoJ6kbf5+dTJXe319tbalduNhu+9mu/ll/6pV/ie77ne07akc8gbrbXPv09zdH9yPWItMd3svn5nVMQPZvOD1wpH2U3bmVVwJjk+p0Qf7vzhGQLPRfWnkqLweay0DgnVIGu7dhfH/D585f4/U+0fPg5qKhcA/chTgFFCWUlavumhkrDzg4sZgvOzQo6XXHfvOLh+85y7+6MxawajGAXKklHGSuoSRKcXwkYxIVA5yLWGErraZzM0vKMLM90mM6nUvs4BPGzDiFiFLSp2u59BBWTQodOhqRyXlO4e4iK0kxh66lNObT/pMk4TYBicpocCWLSmHTJdgZP20fhV/oxAcUoCv7EcES+a6qWo9UoEZdnXIYR2JSTTwZ/ZFNfOJos5TjjkKhz9RmjVNvOKwyBzgmYRtrBaji3qWzXNIlOW/RTdOngtZceyy1bx9EZnVzdEeCTv39PNWt7Om3KG32fT+Lm45aS3Gw2Y7PZsFgs7tTxnMSTREbjTYfkkaNfGqVERT5ESYrDl1tF1i5z4hROIdwpLYoYTR+ogSYodBqWgyZGkZJalIo+FMyt58q64+LlPQ42jsN2wxN7V/jIx1o+ei3l667HWeQmD0ALLEqYGViegtMVVHXNvJ7xklNbLOoFdamxZcW9O6I1mauVmByyKwOFHb3KtGKwZVFKrlufKzWr6XtpPZY2Lewc3YWHOAFqpDlVVRi0louZuV8hOX1n9fushp8X1kIfnQsZrZLY9jGZt3w/ENh04uPng+hoxlThS4fAUhlJiGZSOeTqrvdHZ1G5O+DJCefoPNAFcHGsDnMDKb/ucM9OEkemoshMU5RW8ntpramKUYosyl4Aq8bvRU6iMcKoVjK+9/Uioyi1CkeqSMUxRZh0nKMCyrW6oMfj6SSoG32fT+Lm45aBJ6973ev4zd/8Tf7T//Q/vRPHc8P4wAc+cEPrng9+8IN867d+67N6PM8knknLQRaasb1yve/rdKefYen5/QTpJ5Vc7/xAEUBpWif8oqZ3UkU4L/Og6EAZKtXxufMNB4cNj1y4wMVNy+OP7fPxR+DTz/Si3MawyNztbPq3T49tz4XQvTwDD8xrTu1sU9uC3cWcl92/yz07NY3XA1rRWiMgDqWJChZ1AmYYg/PjnGdR6nHBL+04r3IBp9RAfj5eKcD42VgtsHijRvpAnlNNVe5BqhuyoojOVi+R0kSEqn408nMLo4bqyAcS6V9TWekRDC1KJcncBTDmKPLRhYl4M3pwdT8eITK0JFsXB1RkbrUDR5Lk8QRgFAQtNIV8D+fkoRUDb6+2DG3hqWpJTlZTcnmmaUiyGjcBw3vqsWLLXZKpywfqWpmt/HoxjgjSqb7rM01K15MJO4lbi1tOcj/90z/Nf/lf/pfUdc0b3vAG7r///ms+yNOnT9+2Azwef/tv/+1rkt2rX/3qO/Z+dyKerK1xKwnwRq+Td855IeiTEarRMjhX0XOYBJONMQlVCUSF1YYQFd71nN/vqMy4mJ6/dMBXLu/x+NU9vnR+xZe+Ah/1t+mi3KY4h7QnZ8B2IYvQYinSPrtLsHO4bzFjd2eHl+4uKaoZp7Yqthc1tijZKiJ9UCzLgCeBBWJI6EmVkkug632asYmuZDEhbAOQHLI1gdZHltUI65/wlocYF0g1kKxDFHeI6UIsFY4sqnlB1wnh2HmoJ9ys/PtG58VR0SfYv/NB6A9mVPCQakUNoBhzLH/lBb9N5qzTObBWDHZB8k6p3Rri4FdXF0fpK3Bt6+64Jmv2nDs+N8sSc60XhGuu+kBECqZVK1H4npqAD4bCTC1+jn4GhRkpCPlYc9IrbtCCPOLJeJuT0rRNWlznvjmJp45bTnL/0X/0HwHwtre9jZ//+Z+/7u94f+dWvq/7uq97XlVt14sn683nhbIPR92Gr/m9EOjduONnIrOUaQRZWzKbnWbI+4UDISevW09ditZkGv0I901Fnjh0dF3H1RbwDV+5esBnH3+MqyvP5cvwycvw+O2+MM8gDFK5zYF7Z6AM3HNKrufWDLbmhtPLLeZliS4qHj61YHt7i925xWOGOY1A0wMNhlmpr0ENxrTQZyBHXeikqDGi5zKwo3OB1ksSWXcBrfN8aMwe15tFKURtxOpA60aAis49MxVpnSeLNwtHLcm4pep9CtqYJo68YEsC0eL4nRdprQaIfK4mcwtOEQlBwCfZNy53BnK71ZrJrCvGCQ9QU6Xrlykowhm79t6+fnK+9udaQZNUTJo+f5fUkZ9ngEjjciWsmWXJujByBUNkEErIn+G01dm5sZKe5pl8XaeITOfF1NWlDcr0e/l0IifLrCF6Ercet5zkfu7nfu7kYj/DeLLevOx+J4nwOrOKvFBl5tPw90S5wnnhrmkFIXmAESJNFwRR13nmpaZIaL7O+QRD14L0a1v29ht633F+/5BPPf4EX34cvnAZvvhsXKSbjAKxwJkhQso7C6hnsKhge1uxrEqqsmJ7vuDUvOL01g6LClQx48yWpSiKIzMaqwKrLrIoI00njxdG0QVNXWSgCWhrBzCItLMih11kWUGIZnhNm8jYUm1LwiyQTUpu5w1zHKWIQYAOs0JeOyeurE6STUMzerB1EWsY6An5fTMV4HhlYY1mXjI4aWvFqK3F0Vb3WFGpVCXJTHiqOzmdrU0jJwStNUalJDkBgsSkDHKcdvBU4IycWL33ssmLQTQ5DTCRNMvfsWlVXNmxlTk9VxgBRBsXxZmD7JAeh88qxqOalNcbC0wfP54UT+LuxC0nube97W134DBuPt7ylrfwQz/0Q8znc77t276Nn/3Zn+Xbv/3b7+ox3Uo8VTty2jI5DhrIvX5Ii+exWUVeNDMEPc8hsmWK98Jzy2amdQFdULhUeXcu4Jzjicsr1q2nbVfsdZ4vPvEEn/oM/GEPzyXw5DnEAscCVQ2lgnPnoCphZ17gtWFelRS24J7lggfOLDh3amto1Vlr2ao1Lo7VTNMHtmcJpICCGGi9ZlGOaiQhCDgkE5vzYj0r8twnu5/HgVulkIUzL8JNP5p2lmnxDTFb0KihbTiNYaaXCNvZhmaQ6CLfMynRxWvbXQKISY4I6f0y2XtqCgoM1ZsjS2fJ49VwvEfh89M5lCKBPxKhOyMkdSJ028nrZZI0XH8DOL3v87lsenls0wV2TMQFRXmsHZqfl9Gd+TjzMeU5YYhZD1T0P6XSlNZtni0+GZI5xzQ53wqC8sniyUYbJ3FzcctJbhqbzYbLly9z7733Yu0zeqmnjJ2dHf7aX/trfOd3fidnzpzhs5/9LP/z//w/853f+Z28973v5S/8hb9ww+e2bUvbtsO/9/f37+ixXi+eTCHheBynDUyJp/mLlNtD02QpLRxJcip6QGNVwCdy8roLFCpwuVecmms2nQc8m7bHGIPvW5642nPl4DJ7refy3kUurjx/8gX4/V4AHM+VWCCUgNMLOHUOzmxpehc5t73NzqzE2AqtAnVRc89WSTVfcGqrYF6XA1EaBLQwK0eCcm0hKouKHh8VbS/JK1dOPkqbzRiTWoLSLi456rTuo0oqJmrgqcWoUISJdBdHKg9itpiRFrLWZqjipkhFSYxSWfoknjxqLR6tNG7U7hJVDgGYZDm3ECQRZZuYzo2txz6qsaUXIoU9OtMaNmExt9kTxcJltf9IqeLYBkTawp0fxY2Px/Q7M62aYpTr53wYktLA/Zsk26HrkfRa5TOUq5jl7bIqSoyagogPmmKCnM0bSTvZRORQw3Onmwk1uHjcDrL2U1W2J/HU8bTI4O9///v56Z/+aT7ykY8A8OEPf5hv+qZv4i1veQuve93reMMb3nDbD/R6cfXqVb7xG7+R06dP84d/+Ic3/L0bzQ+fTXLiNFHluFk7jvzc3DYZdst5Z5raQRHFpmlZdZHoe6y1tF1PF7QoZSiRBVtYz0En4BKlTao6AhevrDhsGv7k8Ud5dNXy6GfhCQefvzOX5GnFDmJiugDO1XD2HHz1aUVvCqoYWGzt8NKdLXa3Fxhr2ZkZegqqQuxmysIOQIWcIKrCsGn7odU7r0uCd6x74blldZMY47AoZ73KaRWTF9dM5M4cNh8V3vtBOWRWGpo+DG26DFrJyiOZD2aTXmhu7YU4QvzzIprbd50Lw3OmKMGbERpwXu6NTK4utMylsgpLVtlfd2EQISgLe5QKMUFRHrHP8X6gWBhjjiza0yroegnhet+ZfDziinHUImpKCIfU+vfxmgSRN4nT48+f11D5Tb6bvfNDWzUT828U12vBvtjjbpPBb/lTeN/73sfrX/96mqbhr//1v574VBJnz57lHe94x+08vieN3d1d/ov/4r/gYx/7GJvNjRUSf+qnfoq9vb3hzyOPPPtywfmLlr88GU59M15R+bmZp3TEmiV5weXKJCD+WS5qDhrPxQQgOWwcIQRKHbi6CeyvGg7WLZf21jRtx3rTsto0nD+4yiOXWh7/IvzucyjB1cCDwNcAX7cNX38Ozp6FugSnK3bnS6qtM9y7vcvO7i5nz5zi4XtPsdzaZl5ZacV5NzoCKNDRsW46Lu+vuXrYcPGgY9MJNaDzSZ4rEaFdkEV5VpohwU1byLmKy357GYyR21250soVRV3owQU8PycnEK0Y1DXyZz10ARhVOHo/erzBUT+2m9lADfD4OEq9KSLrLgw0AZS4JATk73zf5kQOY+LJ55bv11z5VlYxlbMaUaHye082f8t/5+dZowcxcZNI8vmaXe85ubIdnjv5/kxnmDdKvjAl1F/LsYsxDvPN/PlnDuVJPDfiaQFP/rP/7D/jn/2zf4Zzjr/39/7e8LM/9af+FG9/+9tv6wE+VQyQ5Sf5QldVRVVVz9YhXTeOtyCv6eVz/VndtEWJmojdIgtZ78YvfIwJteYjXnuuHDoKevpQsjvTdEEPX8pN61lvGpyXFt2m73n8ynk+/siKP/ky/PGzd2meMhbAKeCskZnbmR25Hh1Qa4UxmlOzmtPzisVizu7ciExVCBglLbhZpRPvTbHuZCbXOamyVm3ApsQyJBkdaRVUhkFJQ6uxcsroweFzjKJsPzcRFKxdHLz3jIaqMJSFGRbdARCRZ38p8gKsj4FBjBY1EhgVTIy6dm4ryTRcU40cj+mcC6UpjcZ5AWrk17JK2pxZd1FpDUibVWTgRh1HWeDH+WJ+jXyshRlBMNercqbHM90ITl26M5JTKUmaASH5S4s1tQ6z9ma+dmFsiRpzfVSrGRJisuEhpnnnmFzzsWU/vvw9zZsY4Aj5/na0F5+PEl7PxbjlJPf7v//7vOc97wGuvfDnzp3j/Pnzt+fIbiKuXLnCP//n/5zXvva11HX9rL3vM43r9/LlZ8dndbkCCIyagnmhzW1K4QgFlJIKpXeew16zrDSrrmRmxS2gUD1rpwiuQ6uI6z1N3/PEXsOmXfHhP1rx7w9gdXcuy5EwwL2MrcmtOexsw5ltWCxqrFFYpVGm5KtPb3Pf6R3KshAyc1r06qRTaIzobJrY47zF4Ol9QaE8XVTs1Aqti8FBWitwyrCs1cj/YnTljsFz0DqUUoO2ZG6hNb0kmFmhcEExLxk8/LQ+WuUpBa0LR2arIYyKG8PiiRiUhhASYpIh4R5REAlZVzJB6cOI+jv+Xc2Jc6wu0zyPSE8WI86ITbHbqawkFMuYjHLkamf6PtKqHRf840CTKdF6KjeWNxADoOpYmz7P5Lz3A7fQaknQWkGWFYtR/PC0Sl5yagTGXC8Z5UQnm4kETkmbEqF1SLIv0+YmbzKimggzKHXd1uvxuJkEdgI6uT1xy0nOWkvfXx9jd/78+TvmIffGN76Rl7zkJfzH//F/zNmzZ/nMZz7DL/zCL/DEE088qy3SZxpHKrNJ3GgHmAnERGERKyIu+WdlmaIB6BBEjWLV9Li+46CNbNeagCHGwIV1ZGYDlw86DtYt6/aAq+uOC/tX+cJj8LsHIn11t2OJaE0WwJkl3HsPnNrRKDQhwLy0zGzJ2e1tzm3P2V7OcIEkTxbZnmuy/Y8mENEsa8umEwHqtoe5hc5bzi4VHjPY3oQgz1PIXMpadQRZF4Pn6lpav8YYjJNFTkXPYQczG8GK6kltIy5qbJpxhQjRJ1HiKGoyQlBWUgYAbR+EshDVyE+Lo5N2TqZai2JHXiAzcTrjC0OqrG4EcsoJKEuGidCJRkchPQ/JYNJhmAJbMhAjt+kUsmnLQt85yeTKLSMs82vkOH7PD98DpmjSPIMeK77sDp7boNlFgzyPTDM7TcAlFGqMcSBo3wjFmY/nOC1H2rMKrcf2JuQRwljpXe9aXy+h3UwCOwGd3J645ST3zd/8zbzzne/k+77v+6752T/+x/+Yb/u2b7stB3Y8XvOa1/Brv/Zr/NIv/RKHh4ecPn2ab//2b+ed73wn3/zN33xH3vN2xPEbfHpz58i76uvd7NIugRAUkPk+gowjARtCCAQvs6auc7SdY93FRPIWk8oYI6pf8ZnH1zxx6QJX+kBwLXurwB9/Dj7xrFyNJw+F0AJ2EVBJvQ0PnFM8sLVE2QrnHaUtqKqSc4sZ53bnLGaVLDQh0mmZG80rK47UwRGjYasWuD3BsW4j88R3K4wSVf8iVQ9KodIiqRKpOwLOeVxa2Psgiv2bIJy60hg0gb3kzt170Ebg+pmaIGCSMFQrEeFcCYJRDwvyMNeLYyJxiaAsm5lUpYWR5O9DRm4m5+7sTMGklT+B8R/RYxzmTAxVX36daTWZZ21ZCSX7uoWQ2+7T9npq2yEcPqIQ2ksjid4c48TlP7m9GmI+ToZ2bgbbZKkYpRQxVXdZMm0aOTmEcNQhIlMDjh7v0SSeX19Pqj04+rNcqU15qXlUp1N79akS2s0ksCfj057EzcctJ7m3vvWt/IW/8Bf4/u//fv7yX/7LKKX40Ic+xC//8i/zj//xP+b973//nThO3vrWt/LWt771jrz2nYzjN/jxm/upbvRBYw/hBmWX49KOFi0+8XnWXeBg3QtaLjj2DmUh2JpZQoQn9jrO7x3wqYsr+hauXIDPds8NWxwFPAzca+GBh0ApMBbqwjCvLXU1p9BwajmnKAoWswKPoQtCdF/MDKeL5LOGxrQdextPjI7WaqpCAyU6gi0MNgZc1MTQC6gEEQHugzhtZzCILFoJJJTmMSjNqaXFGkmE6y6IRU5QWCMtrWZSDUqy1MOGJdu+ZABMiLkNN4I56qSfmduepR1VSKRKHGdanRv9ypwyGBUGIFJutcJRPUalpCp1fkxiU4eArPQiC/mY4OAoZzMnzvwaMN7jVkPrBHgy+NAxvsfoRjChwaTKUtqAiWqQHDNy4g5BgB6ZKD/Mzqy+JgFl54dcQWYqyPXGBPnf01lmrmQLoyCogY+YnzNe1/S+k5+ZYdNw/fbuUyWw2zGTO5nrPY0k9+f//J/nV37lV/iJn/gJ/tk/+2eAELR3d3d5xzve8bwiZj8bcTypHb+5r3ejHx/CGy2KG0YH4SExVngbH2g7x+GmE+WS3tE4kWcKqsD1DY9f8cTYsb++ypeuXuJwD85fgj+686d/U3EKuB/4qgck2S3nYALYqmRrNkebGcvZnLM7NfeeWqAVHDQeFT1RKXZmMhfLGpKFNQmo44go5pVN0HpJErNShIkjir4XjUpiYNMLfD4qewQoYVQkKJmFxaT6kRNcRCqFEAxGSxJ0AYHgh4hJ87e84EniFO3EPHsyiTYN46LYeeHn5eTahWwlM1aYQtZOiTGKfFUVI+3EJVs86hgSURhg8qSknG/AsbU4LMYx4HwWVD46a+tDnukpsWqC4W+Q5BCVSpXTGJGx/SttyKM/P7IpTK/nA6gYaHqVlE00SkVaL12N5P0jm4UQBpfwwqgBdKInyc/Hsasy/X5eL/Hkx4LWiVA+/myazCPX37jmDUx+rVuJ2zGTO5nrPU2eHAgR/Hd+53d44oknOHv2LH/mz/yZ540Fz93ibdzMriovrNMdtVajI3ihxc8sK8rvrXs2bfrTtFy82mC1zA9mJZzf79DKcWF/w1euXuJPPu/52D5cftbO+sZhgDPAq3bgnjMQK4XtImZRcO+8YlYvOTWvOT2v2d1dcnarJCozLCwozaIygwN6VuxYVJLsOpd2/EaqPR9HKHl20s7mptlx24fIspaVuenDEfJ1Nt/UStCS2QA0P9b2fpi3kZKY2OaM3LX8vrnNlcEuAjoRy6MQRjh6SIt2VqnJ7bkhQab7Ix9r5tlpNXLwpry1KfTfqDi4f+eZVjbOzbSIrFQyJZnD0VZdXkjzLCvf3/l9pmCp6Wbv+O/n1z2OsgwhsGr9QHGIqEEfNyIcuVx555lgfj6MVdyw4E+ALBm4c73uSq42c+szH+vU+PV6z5nGM6mkXiiV3N3myT1tmZLZbMbrXve623ksL/h4ql1VXjCFtwRWR2KUiiDvul2IKOc53MicLXjHwcYRfc9+A0VhaPqCZR3ZWzvaruFLVy7z6PkNjz0OH3wOIEsK4DQCMHl4B+69F07NC5SGttacXsw4t9zhZffusL2oqcqCyioar6l0nu2MFVVuYbW9pzCKVSt8NlBEJXVS62W2JfSvgFZ60P/Mu+3CiIqI1hrv/fCaIoCtqUsLvSTO1glUX8Aho91L68XbbV4VR5B8xxd8aS+mewGOJMuYqgxp8UVC8IMaS+tEGsuHSGFVkqZK1V0cE1W+Ntdrh49ISD2gHJUSMIsdklkcEpjM4NQRP7MRlJJ+V8m9qZWIi8u9K+83zvSOJrUBkciNwRmakYPnk9x/Pi+Qa+ijSsAhSdwho1nTdc7yXbn1KGhJqb6Oz8an/2/S59Y7T9t7rNHpvjr6XZ4m5myPNL3WT7eCuh0zuZO53tNMcjFGPvKRj/DFL37xuiTsv/yX//IzPrAXQhz/4j7VsDnvjDd9AjFERakElEDa2Rc6st9Ii9IHaWttzyx7G8XuvOPKfsD4Necv9xw2Kx65suKzjzT8+4uw9+ye/jWRK7f7gcUWbFdQzGFewmw2Z1GWLMqCRb3gFQ8uOX1qV6pYF9jfOOZlRGnDvLJDpdP2fpg/1YUeVEza3g9k4BDVYBkk64+0zDQj6bmuzEg0RirndRdRMWBMMVTVArMfQRIyGktghGjEniZKJZZFleFaYENhEuQ9Cj3g+KwoKvBRlEiMMcwqLbJsWsAUlZVElttwuXLKmprW6OsucHnGmwWTIXnZuYRC1ALJz8dSJHFmpeIRH7xpUs5hE6cug23yPZ9nec7Le+bXOQ7qiDEnyDEZTgnuVkvT1PmQkllqeRLTnFqk3bI+hVAU5DlaH6XuxKGaPtq6nBLbc4u2dQKi8TFS2NFjLz/Hx2MzvduUVJ4LVdgLIW45yX3605/me7/3e/nMZz5zDfsf5MM4SXISxyu36aJzvRtYK3BpZ9gkiaQMNshtNqJ8wb0XwMnceJpeM9M9jTHMZhXrNnCpWfPli3t87vOOf3twN87+aDwE3FPCzpb8Wc5AG7Gz8bFgbi3ntpY8cHaHB88saL3isHECsU+Jy3lp2clsSfQn86KaOVhGxQEJmCHms0LAKFqHUXmEQBMkUbiQuFuTyqRxabGNeiCJR2TeN7S4UgsrAyAgVw0GrcW+yOpR9T6jBMfFdmwhZrqASR51erLQ5/cRd3bNzOQEp4cWJTDM7I632qb32JRgndGUIQra1GgBu6DG6xoiw71WWQXH2ns5EcrrKyxh4mU4JsRc8WTkptGjvuSUJiGfpWwC8jXLxz1VaAnoZNejh2uYI79ubvUqpHswjWxHJdd4/F5KS3kEkBgtG8smih5sTA4T0+/yFIzyZCCyW42TedrtiVtOcm95y1tomoZf+7Vf4zWvec1dVxJ5Lse0TZW5PjmO38CD/mGiAngvZh9KMSDdjHcctOL3Zo3G9579FrZqxYW9wOX9BhMa9tYrHr94no9+zPOHd+PEj8Uu8NASHr4HtuYKa6EsFpyaF6BKllXB6eU2L394F2stXVAQe7pgKNLCPbNSoVSF4bBNnmYR5qW0ripSoouBkCD4OSEppbBEuoQWJAb2u9HMU9qG6giRellp1j0sSnEI1/qoNUxECQACcctueqEguJD83IK0t/L8BxjknowaEXkhJof2BJCYVXq4FzKHrk7VWYgam1qkGaASGV8nJ+LpnCj/PV0kY0z3WZigD0MgRiG3++RVmGePPp3nIFI9qa70sTldTo7Zky0n4ensbjqfnCZcrXIVJZ/LUF2lc+p9ah26yLyEEA2GowlZp1akkLclyVk1JtCcLOVYY2p3j5uCfF1KIxQQkEp0XilBModxs5Ujc+WGazt5r6cbN0JlnsStxy0nuQ9/+MP8b//b/8YP/MAP3InjeUFFhkfDtQtNToACh1YyW2uk95/1EfMuvnOR2sLllVRx67RpPWwcm6blwsWOJ67uc3l9yOOX93jiEvzmE3ffFmeBtCbPVPBV90C5KDi3PSeqkjPLmllRc//pGTtbC3ZnGq8KVPQYq3DKUGs1cL8ymnHTCydwE4wo9RtLpUUjsQiewyYv/CO4BGTRc0E+gMZB18titlUfBYbklpXShp0ZZLIxTHf/jMjDVDnapKivCaDNkHwGaH+y0MnGolmdI1ebkTi0vUJ2MFBGEnFaqK3R+DARAggjQClXU3EyI5qCl6aR3b3luowmqrlCXXcCYtHGDK3V3JrNosg5+eSfGXVtdQdTmawx0ek0Uz1+nPm95NxGukRphRuokCSngc4lMFC2xsit0fT55eNEpdZ0ONpunVa2efaXOwNKqYQenQBsUgs4z3BvFLer+srvOT3Wk3h6cctJbrlc3hWEzPM1rjeHyxUBMbBuxcC06dxwY9eIg3fvI5um5+raoYjMSkM7qUYOD9ec3285XO/x2Scu8MnPRD7c3bVTHaICvgp44Azs7MBODaooOTurqasZ9y3nFEXJPadmbC1m7Cyq1LZSwtsyIjI9/ZLHKEovQgMYNROLGBKPTOGUZVFLGzMr8+fnd074VChFoRx7nafQEaWsODgrnYApoxJ9BrhA+sxSYjJa0aQkIVVETHMycEGOLaNfcxLJVRaMC5hKi/JUlFk+W6ENKCWamVOFkJwws5IHjPOtELLrwbg4H3eXP85vy8eak1hOcDlRCcJRD4kjK5x41OC5VuijlUdOuKPljcLqyKYfq+D88zxXI47zvSmQQ6tI28ehpWuN+P+ViTqQk1/m1oXIwO8T4n0YKrnEJZ/MJUfo/9DWTcTuMt0rfdokWQ0m+fAd9/mbtoWfau5+s6G4djZ4Ek8vbjnJ/eiP/ijvete7+It/8S/eieN5wcX1hv95ftT7yKYTI1OLJ2DYqjTbM4sxhs71PH61YW/lwDcU1YxCB2ZVQeMELHB1/yof/cIFvvAl+Pizf3rXxP3AQzO47xTcd9agtGZWVxRETu/scN+y5ty5M7KIaEvnAweNH5TqMyou7/Rzq0pr4XwpxkU5gx8qy8Bny/5fMY5zGq0YAAcizGxY1mkOZ/XQeuo9xHhstpM2JCEIBy7CMD9rnbQU2/x5Jg6dVBFAogjYY224vAAOPLtCvoa58uycSLjlqiPP8rRW+KCxBpyHGEdKg1Z6mHeJkaoslD7I/OsIYlGN9ALS+eS2H6kduqj0kZbcFDQDadaIJLj8WWS4v/jkSfs2e9n5oKlsGBKstEczaGR8j0xxyMcYkap70/lhNlpq2ZAo4rAxUWqkT+SKr/eRulCDxdH0OOXUxy+mJg7O6dMtgEstz8qOn9M0pgCckABIx1vDTwc8Mq0ITwx7nlnccpJ79atfzbvf/W6+93u/l+/5nu/hzJkz1/zOs+Un93yMGCMxeJo+4F3PetPS9ZGqNpzdqtIXTHhAq6Zn3fR0mzUXVw1bZUdVlXSd43DT8CePPsL/9Qct/6G9+8hJgFcCuwu49xzsLGBrvmBZWZQpKYzhodOneODMjKoqcX1H7/u0sGqMtlJlmSSFFWSxKCeiyVqPpqR5FRhsTaLM3HSqfrquY+NEfBllh/awIFWlStqZ6cHZO4vvKqUohwpmNFfNIcASWYCt9vReEYLw4iyj1cqgMZkSVKGzZJU8NwMvfUL5ScJRY7t0SFCj0r1mgtKMR/3blEpZnLHFNyy+k7lvvn4Z6j6CNNIsSYsjQWGPLq1ZEzMf53QRVpPNgPceYwwxKqpiNFbVKosuy/l2nR/4ikVqg+YENwVixSAJLgZPFzW60JR6pG0oxkp20NBE5rillVbvwgigK88f87WYJp8pGCjGfI1z+/LGQJ5pi9aqcRNzXNIrq8zcbLLz3tM4oY1Yc5LmnknccpJ74xvfCMDnP/95/vk//+fX/Fypkah5Ekcji/9u2p7WRXoXaLymLAUiHpVBpd35er3mixcbYnAEZZhZzYWm5156vrjneWTvMr//8ZbffQ7w3u4DzgIPnIWigGigrgpOLRYsqpLClGzVhq1FSVlYZqVhHQvWzmNUMuo0Cm3MoEghpGc9KL7kFmKMYgHjfaIOxAhRDQtsdoluXcQQuLRSnFtCH8zAk7PWUqe2WQiBVS+vHRCrGGl1ycI8JYNP7WGshnXiNEryCKLeb2MCu0QytWCYN6WnTxfG7EZwbStTDRUrcazIYAR4ZFHpnHi7VAH1zg/t1+lMMbcHp23B9PIjWELra7heQGoVjsknz9iyeoqAUiTxlgSKia1Nfr7RyPx5OrdibF9OgSn5ujVevPdWbUST3lfn5D5W57m92Tr5/GO6dnWSecvX8qlAObmVSUyOEqKCfZRMPnlOruAKna/v0dnfsClhpEjkFvKTVXk+iWYf22OdxNOIW05yd0qb8sUQvY9s2p4L+y0qCo+rTi7TpZVWXdtD6Fs++YVLPLZ3QFQ9W8WMojDcV2i+fPkKH/uTK/zeo/DoXT6fB4AHLeyekx1nNZed/tnlnFOLLe7d2WYxK6lKizaWU8uSuiqHdp8iEpD2rI/g05BpUYnpa528yXrnOWxkLmmNkLKNMUSV2klpJehcoHEMKiebhI5cO82yEr5coeIA+R4knkjJT48ts7z4VIVJclVSBWZicZd+f9NLNTGY1kaYl+PMEK41MB0W1eDpU2Xp9Uhsh1GNI8ZI60ZgR3bgVglGPy9T5Z9ajZn0XibOYHkd9ENOonLN/JCwimRNdL1KY4oUzot+58YV2GrYdOIAnmOqUZn/5LkVeqwknfe0fa6wZWMj1zYkCkmSVssVt1ZUYptAZYVHGLqeVRepTCQasU3Kzg65KtaTFmUGw+RWb/7sRsE0ObY2amYT09fj87YpyVw+u6PXbsrNy+83aIfmFu91QCqlEYBUeXSvMFzXp9MCfbHGLSe5P/fn/tydOI4XRShkd5gXo9MLi7EFy0p2opvOU1u4tIlcXbV85WCNdx0P7xqKosDGwCf+5Ar/593Obgjv7dX3wXKZVNc1lFrx1ae3Ob11iofOLtndmktCCJpTc4PSUqkVRvQktRFvNx+Fi9QF0Y50UbhtzocBlOO8XLOdGUMVI7JUfgBN5MdDlNcvbRh4crnDWRo1qJPIoptkrybQ+xwZbJFfOxuXZukuF8RctfeCCjyeJOx1Ekx+3ZAWvRCh7ZNLQZop5TZeBmfkJFzrEY0YooCT4mTR7pLRZ4b1H+s4HiGC+6R52fVucGSo8iJOvG6lcQQprEdCvByAZlFB009oA2qkZAyLuR4rnCwd5sOIHB3OO0ol3QVxKjdqdHWISHWWRapjqrqapuWqg3NLR9SFgEWMkbZwmBy7GivoEEeAktEqcfjGWVtWUMnX4Hof6XRemd0LjscUpXqcX3zd39eGWXn9e+fIDPA2zP9e6PG0Zb2uF33f88gjj/Cyl73sdr7s8z6yPFTbe6wSH7LdrN5RjO4CWkm7heAodKTUka5veeTSJTablkceh9+6crfPRtwCvv60ICcXpaIsCwpTcc/OFvdt7/J1D+1QlNXQzqqjLKqyG49EREx5q9BAMehMWiWAjZKAC4bWRVatZ9U4jFZsz0yaZwV6f9RrLUTF7tzSesXMRjyaRS0IzdyWLAw0LlIaaStlYEKe62XAC5FhM+JDxKXKpU92OIWekMVhoDfUpb1mfnJdLcY4Pp6V+UOIwKgROYXY58S26ZKWpBptcnLrq/finpAT1pNpTWYEKZAqlHBk8c2JYEA/pvbb8UrGTHpxWeOyLhjudSG3qwEpmD//0UlcjYhGFLWVhTvfN86Prt6NU1RGqtcMOuldMk1N1+uwg75r+aOrgft2SrYXNbuL0dCW4bVzrRaTFNkkCatRJUUEnq+9lsc/32n1/WTdxWlVl6/j9X7/yThy01Z3cWwTcxSsMrEBQr2oE99NTTSNMXz4wx8e/h1j5PWvfz2f/exnj/zeRz/6Ub7u677u9h7h8zzyLvOwcRw2TqqRecF8VrOsNAeNp+s6ul6MOFfrDY9d2bBqNnjfcaXteeTRln/zybuf4O4Bvh54yTbUC9iZV+zMd3j41Fm+9twZvvrcab7m/gWFNcTgsVramEobnJdr8MTVDQfrFmJIqMdR/T6j4NZdoGnlmnjvqQsxPa1LgftnUvD+xtG5EbihjWV7ZrFFKXqTSg8JI1cdpZkADbSAM7Igdk6YnZedvk+zvkzoznOrVRcH4IdL9juZ9pCrv5B4XhnsMvC2EDDFqhVDVwGJ6LGNxwjBn1Y+LoykccgVihrmWVYzzJ4Gg9Yox9c7L+/vpe3bdHKvacWgGlIa2WDlx68XU6BKbrXlc8zVhZi3jrqZuVrVisHYNl/z/JqZoxfSDDaLRYcoidsYw+7cUhZyD2itB7eHvLBXhWG3hv0WdHRcOOjZW/c0nRuUYKa2QwONwfVc3G9Yb5oBWToVds7taTi6Mcl/T89jOld9shg2Mdf5/RCEVtT2/sg1zpGT1fUSb/7cpnNAN6lgX6xxU5Xc8fI6hMBv/uZvsr+/f0cO6oUSMYqGYtc7WbCDfGmLwlJoEVDeW/eUBqpSE0LPly+3XLl6yOcu7fHlvQ2XHoMPXisP+qyGQXhvD+9C8LC7Azs7irPLBTvzOacXc7a35ixnJdGUHDYOFzW7M9nBd33H5YNGZmJWy0C/DcwJRyqLeanpg8D4D3vhBW7Py4QclKRSF/JNbp2gVFEi75SrqAxSYVINdWnWl734QggDhD3PaToX0kIbB3RjXkicTw4HIQzV96qTdtpoB5NVNPLGJlJahgVxADyEwCqprXRBjr1zYfRLY2wTxuBFmFsLuV1mXmPSliOXyiPGzM0b+V6dO1pFdn4ErVgj6jEhwlx5DtvArBgBMFPVjoz4nCa3EEFFSd4xxiNi0KLvKRuR7PuWNzA5xBJpNJVNZy7k7hgm5HlDkZO1F8+/MrUpM6dNK0VUmvms5mXnFBcPNN71tF3Pxf3IPbsy79477DlsHJVVzOsSrTWHHaA0a6eoo4IsBRb90OLMMU0cZqLTmcE3R0Em16+cphV1Xlan1VrTOfbWTj7zeXmNHNmTSQNOf5YrueM2QC/GuK3typM4Gs4nsnfb40NkVmistcwKxbqLHKxbDtcdruuYzSppa67XfO6JJ/jkn2z45D6cv8vn8ADwVXO47xy0qY119nTB15w6xdZyh4fPzGi9pnOwv+7QCvbWvSj5O0k6e5vIzGoal6yDkKqi6TL4I6HX0MxKlRCSgSArxQDwiMFz2ARmhQAOemUHtf3pHGs6C8sIxhBGTzZgIHqPO3WxaAlh9E+ri7FacF5AEXUhjgRzFQbpLRcihU7AAgIbl5GH8jqllfeUmV4YCN2LciRuV1YNi2bnki+dT07fUVOklmhGU2akpz+2Rc8JqfNHE1w+1wbh2ZWTedaoiymC4CGO1c40iR9/nz6BQHJilXlR5hXGxAN1KKXYnYNP4I38mckG4mgmyaT7KqFZ8/t0Xqo1lB6sgKb6k5DmilXFw1XBwabn8mHH3rqnMBuMLVi3ns4LYtMUilortir5LpYmf5YKoucgScdpPVbFOYnlxJHVaDIZHUbUZOfCEZTo9H6Eo0ar00qxdaOazHED2GnL8clmc/k1j3MBX6xxkuTuUOSbMITAppc5TusixkTWrWPV9Fw6aDk8WHHxsGVZrdFacWW94tNf2eff7T95f/9Ox1ng5XN46EGoSpiVBeumZ7mYcXY+4+z2DmdPb1GVBt8Fei8KIpf3Gzatoy4UXSsIuFmpUbrgvl1R83chKckbw7w0qZKBykSKwmJ0IARYtX7giFkNG6/T3EYS1MIeXQyut3NWSGuxc+GIUoVUR+MO2OrRb47sTJ1YV/I8PSzOxECvVDIjtegIgbyT1xQmJGJ5HBKTUWOrS2vN3EqC65JGpNZiIzTu8uW4nZeWopyjIYPtjlQEpA1AGwaU5LQlmxNaiIpZOc4fc0tQITPM0iReGOKLZxOJ+3jVEaM4n0t3InnpMbZ/j8wCE7y+cbCoVOL0MVSCU/K3D5k0P3rgiZZrxKqANdKulsQTEkp2bB/GmNvf0jHRBNZ94PJhx32nLLVN+qCFtNELo7BlxayWY/UhYoLn0kpm4j5oCjsCaYphLpn+RniAzqshlQgASD67kLQvp5uu6Xwy8yJz5Ko3WvFJnHrd5b/zS+XOgY8Mm6iTuH6cJLk7FAJtl1lIqRz7DcysE7iz63j8astq3XC5bYnK8YXzV+gJfO5LK/7FE3f32F8CvGQO5+4Da2BRF8zsnPt3Cub1jK2qICoz+q5FhcHROcOq6YkRVg1sb1lRPJnXnFsa0Jam7RLSUSqlwsq8zgUBmSyUTuhHWQA2fWBegLaGUgeaXqx5jLYYoyfJ6FqQR56HhhCHBJdba0cWkCgAhBBlNpjdH1wCcWitmeVZHpGNy3QDlXhyilmRkqWKYpGUE5MaRYhzZNpDXtQLozAqE5wFARphqDazHtV0Rz/M3IJ4uB22YUAJFpYjAJZcMeXnTt3A5b9qUEmZksy9loQ9+LmFiPNy/E0fkm6kGqoXpfKxqyExz8qR0+d8QKXPwhgjWpHptXICyeCQ3nl6GAjqtiioCnNNmzZvHtZdIPqejRMAC0rmwodrT6U91iw5taww5lpM/rS1N3y2aGaFoSpMAhsdnWtNK9usXJOTIVFaq6WVRDaNXH0y2ZzlCFFmrcZAWYyydscBPydxa3HTSe66u+QXKVrnqSK3K1onra8Dp/Cu4/GDnp22Z9N5VuuezgUqAhc2az5/4YBPfwH+w1087nvSn4fOATWUJSirKWzN9qzgvu2d5HMmM4tN6yiMQODbJlLZjrbvUCh2FyWzUqqfrVKq2KqQRVjaYwyLb9PLn7aXxaIuRaGksGb07kLhgaqAqEaSOIzLSK5MRNR6nCVn+a68WIxzkxFplx8PecaTIOa5lZrvdZcWsVUXqAtNRNRBohp3+VNz0HxcpKql6UfX74yUhEyBUIN81zSGeV4cCcVWj63OTS8bKoWYxc5Kc4S4fr2YIgK1zolJKADZDaDSyV2BwKqXyiiDbayGMvnvqZSczKQCy63GiKJO1Uv0vSRHDfNqbGnm88vJsfcjyGZeAIxybzkEfBRokmsAMXD5sJc2aFRUBRxsHM6DNoUY3iYNzutpeeYjaDsBq5RWU1k7fDZHEZRHJeckyU/UTdImZ9panCasoQrzoy1UllmbVrVTMenrzeHCBAj0TMSgX+hx00nuu77ru6754vzZP/tnjzyWEWUv9siItowQbNqeg3VP1/Z8cdVRarGDsTpwtWn4/U9d5V9duLvH/HLg4TNwahfKCgoF1hh2F3POLZeU1YzZbIZ3no3zRCJd2xNM5OraYXBsnGVrNhNFkUrmJ8YYuiBSTJs+orVhWY5cslUroBDZ9ZsBch4nyLbcUiNVU7NSD1JWuf2jiEPryyVx4/y6UlUwtrR0VlFJLUsEXCMoRKhshumPCS4fQ5avyqjEGLzMzhT03gztw6xTOaUBtMlV3PlAVQinzhh5jugjckSh5HhoBX0YF9rCQOPjAJrJajLXqJVMFuhc4ebkotSYVPM1j1FR6Qn5POmDNn2kSTO2WWlZzsrh2KdzwhxSPcYBjNKg8EEq6xBdAsgkP7ZE7A6IXNomcRADhnkxzu/yhmHVSpdEpeetu7GqA/lstuYlulAs6lHWLdMhpkCanJzaznF1LTP05awUnlxqHWcU7eAkEQFkZjyt8LIE3ZRnSEpY3vthk2ONHgAsvY8o7wZUrjFmULc5HsMGjZF3d1LhPXncVJJ705vedKeP43kfg+p5jKybjoNG0HtBWYx2dJ2n7TvavufAeeqy4HD/Mv/qo3v89uHdPfbXAA/eB+VCvjSLSnNqsUNlDecWc9qo2S0VbdeLDVBZsEluB503zG1k4xUlHq01Z7cM2pZC5HawNAGjTXJ2lpnFshR0oVYwq4sBgVdZmWF1LtD5SGlHAMiiGLUSM5coe/BtekEsKp3FluOg4C4znLFaK3Vu5YkohlYCTMkK/GBY1mao5rKqReem6vzS8nQeNIo+CJqyT4TsLDN22AgNQmuZ5blkwloWdkiUkpRJyXEyv0n/m1uNilwRSJu06YUsXxq5dnVxfbWScAzpN9reqCNcqxBHOoBiUtkSaHqZK1otlXQ2pc3oytZBXcQj1ctUIUUpaSNuunHm2PqxrWq1fO51oeicZlYEmj5iguNgEweniBClcyCbBpkDb4LBIkhbTXKID5GdecGWspxdCu3AhzgYtk7nkbmazi3LrGbjgriAD1SFSbWfxbR9AM0UBasGIEhAgEz5PbPDeJImkGuTvA83vTjEg0Kbo1XgFHQybV3eiJx+EkfjppLc29/+9jt9HM/7yDd/13v2Np6ubbi4tx7aVztbJRevOGLsOdw0fP7RL/PrfwQX7+IxF8DLgAfvh90t0JXGotidb7E1W7BdWYIqKH3PXm/YKhVFMsk9U0daL6i8pjcUnSeiObdbgTYyq/I9ShusLqktrHtxTljUhi4IhL0upJrJSLUQo+h3JqURq4XbVJo4+LU1bkTzCYglpkVHDGVF2DnBzDP5elDHHxf8nLxEbSaQVUOqSTLNCWZKo8ncNqkuOMItq2xqdQbxB+x7Rx8Ui0phjKVOUl1Tg9PjieH4gjZNPnWhUFEScu+88M+iYacctTWvIaAz2vM0QSW3Bj3MHvPi7kNkf93JNbVqcCEQB3I1UihKM8y2jIpsXExKM2PbLCeCnEja3rPpgly31NpUg/4lxCjncuig6x2bXn62TolGK6jL5HpuYRM188omHl5k1cGsFLSt0oq+czQOZtXoQtDHUbpNqjO51lXaHCwqQ9tb7t0Ga8WvUOlMoZD70KhU1U0+t3UvGxsfFd6P9IKpXma+xkaNVbXSZuhAOCfk+aow0i52js7pQbUlX9uTxHbrcQI8eYYx5TQ1rePqqsO7nkcvN1w5aFAhYixURnP1cJ9Hr+7xHz614d/cZYrhHGlR3ncPnD6juWc+59SiZuPhVG0py4LaaPogledO0ROpCN5Tl7Krrm0EpdldWOJCvnk+RIJLO1srHLdVF2ldh7WW4D2dL9iuRq+x0kDn1aRiSaRilWYY3g/w/y5MgRdJuiom3peVxTcEIfUSg7TiomfTJ2URZYYEOVUTyc4Ey0qSb/5cRaFF4bOfWUJlCjgjOUsTh8UzH+9BE6hMxHvNshBF/llpBsUOH0e36xxqUlFkMERu9fkgCMOmO8q701qzqPQRcEomt6sEYwwRgndc2UjVVxaWeZVcyVMLsAmj47gP0LmY0KRmMIbtHCxtpHGJ4hFENq0urhV+nvIDm8TXazongA4r/ntNJ8R0YhAX9sqgjaXtfbJQks1ErvaqBMaI0WCNY9UE2uTDOC9ktpid4i83Hef3Ok4tPTvzYvxspH84bAKmnL+AoBpba4U+YOw14BAB94xgmtYJcjoEuReEHqKT6IDGqKzaEpOeptzX4o8n0fuYgC6Kuiroeselw14Se6GZ19nD7iS7PZ04SXLPMPKusHHS5ggRDjqZyTjX8MTaca6Cr3Q9H//sRX7ry7C+y8c8A75WwdYO7J6BM/M5D57ZpSxqHrCagwSq8GhU2jFrU3B2d4ZL0P7oOzrnsbbkvlMFyhSCWvQdVzaR4DowitZrtucF2ggYYlYUbC+KoQrTCjadHxbBQVE+tcQEkCKL3rKWmdMA6kiL46w0WDvOXVwC/SgE4ba/cYNqydZMFleUHgAneYY3T7DtYZ7ipfqwStqMdSHtRT9ZMJVCQDhpJtRENZCgndKcWhRoYwc1kBwqzfYUcVj4ppXP4KgdJFkVOrL2mszniyh25nrwP5uCXHIrN8/fQojsN5LkW6+ZVSmZhjA4N+TfFyTpOB+rU2tWJLuEDlPaMNwHueWaK8EQRGt00/mBLpFniCEEPOIQ0Qc4bCIhKNadIvqe/bXj1MJRWKkW60LEuAtrBtJ8ViXxQZJQXamUPKFMqEjnOi6vA6UdE9UA9ghHDU4hX+/Ipmm5svZiz2TKVKEfbQFbTRLMjvio01xMylitoPXjbBWOugkYNc7RsvqKQvRDY9rcaTWSzKWrkABPAQp1rQJKjhPdyhvHSZJ7mjHlKbmQiKR9x2rT0jUtIXjKouTBpeELTzzKv/vDjt/r7+4xl8CDwAMLOHMWdubw0nvu4fSsZFYvqbWjjYZl4ekCWN3ThEhdWrZmAgppux7fe1xIppSVfLGXSYMTH7HW4pWiqgpmjKaT89pQ2zx7klna/sbjXQ/aCrcILXDtENgkj7fGjbOb3EILEfpUTXUerJH3yW29g01P17tBLcVjWKaKp/NQWgaprRjjUCXIggzEwNW1VBmbqNidy8yo1GP7MINQMqF5k+aAbS/zoa1KyP85ptqQIQEkMvAj6zVOFyuXlEwUDM7jnZPqZmr9M3QTvBtmk9knLyew2oILQmbPWqEDPJ84JLtFZQYuY5lau6MbQiB4P2xQxNles6zkWDoXaDo3SIf5qNiqDVVZSDsTnRzNU0tZOYKGqvLst5plralKy6wqBneBLBLgQsSnFqM1ihiCuKcTE/BEzHdj8Dyx3zMzHnTBg6eqpMYSB7J+5+V+zHzCEMXa6o8fbzk7jxyaBffMRlkyq0c0bEahujBSHkjgmmzz4wLUialg9eg+kKvrKUk7RpLkmFSiSkk1qijouk6+b96zPS8J2t6wVZnHn9OW8UlInCS5pxlTlJPRsGkcj19t2D9o6Jwj+Ijre/bbhv/7ox2/d5eBp/cDDxi47yF4ya7hgXP3sFUYdpdbknSs5rBRaaY0Y0agc9KKsqZAac3e2hN8IARH5yLbtWYxsyxKqUBmNtIEsQ+yhaIqFSHKQtU4ML0HDLMKAREQCdGz6iKFFYWJXF1N/cu2avn9eXkUZTeg7RCblwzumBpwRqAwmu3asqgMZSG/47OChcqJRhb/XDXGKHMm4TdKZTgvIy4p5Xvv2G8COkoLLlcGzmcww1hR5aSQRYwV4jiRkYFKKTrnh9/JRO4ygx6CJ3rPYZukxkiIvkmLMYMXQCqAWosGaOZs1YVmXpnBay8joXOllxOrmMfKcxrvJUmXinUPm7ZP7UmNVpELBz0xeA7WRuyRAoNjhPOBZW3FcaKUZLw0Oml2Cj3AWtGjNFqxs/Sse7A4QDYKM61Zt57CGjrvUdpQ6IjVGhcFvJPnfc51rJqei3uS0IMuefBUxXJeJ3BSpDCySRgg+nnTEQIXVgKGutpqXnVmBH6MlZUApgoDqKPIxhgjLioKHYjoQR8VJIGZOGqfHnemyLNLHycODVpTl9LF8ARiIKnR3Pj7PQWknMTROElyTzPyMD/zhC7uNzx68YALly8Ti4LSN3zq8Uv8xifh8bt4nDXwdcD956Bcwtfdu8VLdrfZWe6gdURpC77jYB1YlJGgChYzaa+t1j1t7zGx58q+k4VFe9pQMC8M1XzOrK4wdkwU88qmlo3Y3TgvcG+FwKfzoL0qDIWShbbSHp/844rCHFnohYumBsmjEN3QYsytYh8ihxs3wNlnhYAIOjP6jS1qIRNnlJ3ygT5KMsocrEzOFpCGLICVSbYzwbO39oMs1ar1eO+52nh251aEmJPEUwZlrLtAiP1wbWKM2AnVIcQIaKokUp07Axni3joGweLOKxoXCShwMBtmgCNlotAy6yoNgz5n17uk4Qhnl1aq7MRzDGiCdzSJ2mA1GFtgVWDjFJu2Z3sOm05mQuvWydwJRVTSQjxoDToKGT2jC7WSSnNRF8wrOxD+lVLMrOP8gSTfeSXLT4xCFdiZy0arc3LcIfHjLEra19YMDgs+xDTfjXgnXnJ9kNmnNoZT84JlbQeU7dR5Xe6jOMw+V02PiT3WWl5xrqSu6yPcRMPoHJ8RqVMAiHQApH1ZCjpkPK8BtHQd1GsI9KmizjJmIYxcykJHeiUbm9o+eRvyBJBy47ipJPcHf/AHvPa1r73Dh/L8ilzBdX3PlcOWxy4esL/a44v7B2xZxyc+3fObe3f3GL8KEVWuazhzCl553xnu2TmND569pqPSkboywt+KkYM2UBnPKhTUpQhJO99ztQPvHGUxo/ewVYmSybIEguNwE9mel8wLQfrNdByUImIEg6eLioUN+GjpepnV9Ci2Z5aLfYFRUi2crpNEUnK2zrOc1klL7SAN/KcGlD5IAvQhUhWa1kuC3Z5LqytXSzlZ5t33AAUPkZBadsEHNpvuiBVNVg5xg++Zp3eedRfYmRmiMlK9x2w+mnfoUhnNy9ySTC0p+b8BpZfRmTKXk6pn4P6ltphWIkVljfwtHDNRdOmdHxCfmsC69aw2LZHkyddLInxsL7IzC5SFJGWrPZcOnVStVuODZksrmj4l2zRnmxUCotiaFRhjhuPRqmCrFqQnJP6hEV1JmSfK9d50fmjVNr2gZzufziMhEAst86tlpTlopfJ0PgyE80I8hZIyi2w8fFRA5PJa9ExrKxWltVbAJmh87+iVGgjyUSuc71m1PatNizXiajGbzdgxYIpSQEiJiqLTeVgtrVIfHM7JfZBNXFXoWTtNqRyH0aSq2RLQQyWtFSgzktFDkM1fnoXmOfCmH7sTVVlQV9fqX8LRGRww8jjTbZu/GyGOqj03ev4LfYZ3U0num77pm/imb/om3vzmN/PGN76RnZ2dO31cz/nICKnHLx/yqS/vc/nqE3zq/D77Bx3//gvwsbt5bMA3GnjJPXDunGW7rHjwzGlObS2Yl5oL+wHne2LQzEohq7sY6VyP0gWzItL5kq2FwseCRdFzceOwpmeuOrpQsjA9G1dTWsTQ1VrRP7RqmFVZFXBoPIaduWhUllbT96L6MrMRpwpmhWK/CQM8u7Qyg9m4wKyU12uSearRiiZx9LIDuELU+fsYsEpRGIPBs+kNi8LRewvRDzqilZGKr3c+qf/LLDADJda9oAudD8xKkgGrpsrJzkuisCYwS9bNKkQOO/HXm1WFuAwkL7SyMMNcK0tv1YUmWD2gITOloEjAG0ug7QNayTkuazucc+cC2guyse97rqzFtmdRF/ReKpOLB73Yz8wtWyaytxYATQzQ9JraCPdtUSpUEj2urBpml61XmHkxWNTkeeV0bpiFktFjksst300n3on7mzB0PfKC76Pi9LIgKj3MBk2pKYzIhi0rDZRMdUlJlAfR6XS0faRrG/abgOtatJHEVpUFisiF/ZYYpFpd1pYYiyTw7Vg3nZyfFnUdFT1oyyxthqSVHAY+n48KgrSnnXPDfaOQefX+xqEJHDSBUwtLXZV0Xu6Fw06SeVCiOuB9L3y5rh/Ory6tVHVhFHbOYgHDXovR3Ty37AcNzARcmgB1U3s0fU8SaGWa1F5MM7ybSnI/9VM/xTvf+U7e8pa38N/9d/8db3jDG3jzm9/Md33Xd93p43vORowitPzIhQM+99hjfOwLl7n4KHzkLh/XK4BXvhQePDfn3u0Fy9mc0hiMsVRliS4MZ3YKrh5sKI0gKLfmFRcP1xw2Ddb2GGUpraLZeCoNVxuX0GBw1Vl2C8XGWWZRFtStOtA0nllVELxKIAlxdVYqUigvgAkdkL2xGki3hRrV2osE2shovKx3mK1vsp5k5g7leZfWakAubvqINZH9RsjZF9sg+onJzy5EcE7Qlc455nUpc0gF3nk67yE4jNIsZ1r4UqW0yupS5kdd7zhsA3WlUVooC0FZtmfJHdxAHzSzIorG54TykBefEAUgsmoDKnraXlzR205ao62XlmIXBNa+qATNuGr9hDgvRqr5dULsBVTSO0odMMCiLCjLikVd0DmpurYKBapgbqUiyRqi0919PWm5TaWncpITH7+JEn6cgCy0prRSXcfoB2cComwO6kLASVYl1f8EdAleEbwgVr33cs8pQ9f1XF0L9WAxq1i3YlF1ddVJAjYFHk0fFL7puLQSAAoxcLju8AHuP1UStAgUrDcd1hp25warLRGhDFxZ9VQJWay0YdN52k7amLmFvtdE+j5JiQVPWcr9fbWB0oiNkjWO3mn2vdwPbR+kukfAMRmgU5eWyiYOpPMDcMUaM9ggkQBJHukMBLIwgbTrgxp5nZnGArnSv/bxnNReTDM8Facs1yeJGCO/8Ru/wdvf/nb+j//j/6DrOl760pfyYz/2Y7zpTW/i4YcfvtPHettif3+fnZ0d9vb22N7eflqv0XSOr5y/wm9/4gv87qfO85FH7y6xG+DPzOAbvt7yNfecwRYzrFKURSU+bR4Kq6ks2KKga1uch4PNBh8ie5uGPsKiKLBaU1UlfddTlTUh9rQOIp6ZMRRFybLWoAx91xN1yXKmWS7mqOiH1uCsULRe0I1ZjxKVvL68wipZ9HLVt+rF+qQsLN7LbrlKyvhXDtsBQFFYaT0ZPG0wbFUCpthb9/TOs5yV4pIdNFZJ6ylGgWqLv50b0IC7i5K6ECj+phsTbOZbZekwbcQiCaUTedcN7hIuSOLsgubebRGvFvSnTzZBkXmBJDyyuPHIdVvnhTUt9m3vU+ISw9hMkXDODY7lWQGktmLiKkLZUJfye62XOU5dlcLPS1WsJJYxuVlrh3ZYriKAgcoxJZVrJefU9JKYGyefm0eqQKWNuAYMKvsCVtnfuOF9Z1XBvNSUZUnwblQXcY51D22zYZ1I0MtZSVUY9lbtkFxPb9VsmpbzB55COeazmnkiiWe6Sf7dpvMcrmVWa4uS01tGwBw+sLus2FlU4oEYPJfXAU1AG8uyks941fSsmp66KoVWoKXqazoh+ocg1fOofiL3Z0Dmkd774TlVYdjfOJkftuJovqytVKaMrvQhSudgKW7DR4Sgs8xcvrcyVy+3kIEbtiDvZnvydqy3zyRuOslN4+rVq/zqr/4q73jHO/joRz+KMYbXve51/JW/8lf4vu/7PoriuNXfcyue6UX33vPFRy/wbz72JT722Qv8q8fA34HjvNn404U4Bty7BS9/6AEWZS2LSIws56JQEkIkBNCpqmrbDQdtx7pzVNZiDbgg84GSyIYCG1u0rSlwlKYkEFjOZhRWYYqStnU0bSfIMhVYLmpCiMxnpXDrkkvBphdD1KosmJVGjGSTeklWO2n6caEvC8smCVmvW0dd6KHNp7Vwz4qiGOYZAiAQyH8I0kLMhO7M4Zqq3deFHqD2mY+ndK7ApMrMYr4hyoYmv14GYOyvu0HPcF5Ke68yo+1NRiH6qAZQyellOQBxvOuTaLUoa0Ql10EpNSSSGPwg11UVUlnk85m2V3PidF7AHFrJeRCDiFzrjAj1AzClKoukQWlGzmJq2yaxmEFRf2rNs26l3XfYhoGSka+vqJkI2vFg3Q5u5AFN7wJVaQcqSJ3USQprBgm0PiiuHjaDCPY8AVd656XtZ2TDsm7F+NRay327NdZoWic8y3XTsW6Fa7c70xxsei7sdezOFVU9Y1mLuW5Uhu1ag5brpQki5BBEDswYw6r1rBsRMTizlFZoiAitpPOyGdGjMHWX1G2sCgOApw+Kvu9pnBDyV03PYRs4NVMEZcVbEcPcBhovWqjbi5pFXbCoiyNKO9PZ3RFFm5S0pgnxOIn9bsbzMslN42Mf+xi//Mu/zLve9S4uXbrEmTNnOH/+blt9Pnk8k4vuvedLj1/mX//hl/i9//A4//oulm8PAf+Ph+Chs4bZfIdlqSiLOUZFzm0txC3bGpyPRNdx2Gna7pBDp1hvNnQhoFWktpaFVhzGQL9pUWXBdllgbMl2XQmQwFgUgcqWxCgSXrK49qAspfZEPcOoHlvOOLctqLq9jZfFXxl2ZqJoIfMyaSHmnW/f93gMMyvoxL1VK9QCLc8ttCSkrVpUTeaVlRlelOPIAJXcCnVBeHDZfyybbGol1kHBS7UTXEfjRW0io/18SD5w3rNxigIBFnjXE9BDq3rVemalzLByMrNaZJ6MVpxZFkM1pAkyt0z2SzlJ5F24TaaouW24bt0RmkG+bp2Xe1BmMCPSsPNSVUVlKJTHY7AqUBTFQD7Orhg5uZdG2mkhKaKsOplXGmOGBLXuhCax7iUR+Kg42PQJuMJQVRfWDK+16TxXDzv65I5QlQYfPGVhicgsL1fL2fZIxXRPdA19lMQ/r8vUXpMqXLiPntKKOeo92+LunRNL52VD0ro4bHTKQiqpPLesSzvMWLP0FjBoiPo0F8tWQSEyGPJmYvuUxjLQRFA45wYlm3mpWbfCGcxAnU0fOdx0xBg5bDzLWlCns0qqvojQBu7dnXFmq6Iqi1uqvG5Urd1tkMndTnLPmELwmte8hv/6v/6vOTw85O1vfzuXLl26Hcf1nAznHJ/+4uP8kw/9Mb/zsfau2eJ8NfCSXThzGr7qzIKyqqTa6RxV4bFKseojZSm2JT7A+YMGFQOPXrqMx9M6x6l6Rjmr2SorqUQ7x4FqmflIi+JMUgtZlAHfSwIpdI9WgjC0hWU7WZhsNg06tnQezu1Ky88F4c61XrEsA4etYqv2ND6w6aE2grzrnBBelXJsWs28THDzAior6MguCJHcFpkonDQgtQJMUrWQSmKoIEKk6WFnLlVSH0T+yWpp8YWQLYDUgHhbdyPHy6Wq7mATaZ3D+0BZiEv37qJkXoUBHFBntF3vqI08XhqIGlZJDWXTeQE5KMOZxQjDzy0rHwIh6UCWVtqnxACpHei8XPes5iJIT1mESwvrDioD604cLg5dYI5nXsq1MrFnvZEKMURpny5KOY6DTY/RiguJ59Y7afsZY1itO6nwDOwsymFh7xyUNrJpe7quo7CG7ZnFlgo7l2tZ6kjUitJYtElzuGQiWxZCxK4KUMqKGk0vCSgjHAstc78m3X9ogy1LduaWPhraxjOvrFRDtRnatY0TcM+y1qw6xXYd6bwkY2ukAjV63Pg4HwZIf4wQkVZubg9OifxGjRVUCNlXjySarZjbwKoraHpBZmZy/s5cqv5VF6mLbhBAKKxhtRGwzqIyRzoRLlVnU2/AG8WNaAQvJpDJ9eJpJ7mLFy/yzne+k7e//e184hOfwBjD93zP9/DmN7/5dh7fcyJilMHw579ygb//rj/kfau7dyyvAL7lVfDw9hJfVGyahhB6DpqCeSFtoQ7PIgYebRR9u+IwVMz1mquu4mqzYR0jFZqtuWUr1UHdpkUrj960MNfUMXB1A1r3HPaaeaUptVRnxhpoJTG53hGwGOVpvKU2kb1VT1UKb6qPspC2oQDX8LmrERs7bFlykARvO6+ZlSJgvCgEGl4VgNID9LtObZp5ZQc+XIyj7U2WbmqcyCf5KIAGq6SVF1xHFzTBK7aSMG7npGVptLQwQ1K4cD4lv6SkIRYoslLUhSxUKE3lZKZUKgGKzAvRVfQYFrVGG5vmXJ69RpJ2VJat1DLL6hgqSqsuJCf5NkHws/7jrEx2PK5nf9XRdR2bzmNswbmtAl1aDnuY24ALBTMbOWjj4FRQGAUqsull03N1Hem6HqPh0V4qLdd39F4Pnm8uQG01i2Ut4slaKq9FXbA9s6x7KHUQkW4jbbm61OiiTBXsYiCdT6umgY6ReY5BZq8Gn5J6RMU4zC/XXRwI5oU1LGuh7hysWyIdBMfBSirxrXlFWciSphU0bWqrllKpaddxsHZEL7ZEoq4TcSq1oq2hHpRiZDNAkmTL3n1TF3qjGMxvszKP84GrfWCrdnS9wyqpdrNu6c7CsrOAphMOn46OK5tUeZYFy1kpnYYI61a87UCq37q0gzLPrcRTgUzudqV3p+OWklwIgX/5L/8lv/zLv8x73/teuq7j5S9/OX/n7/wd3vSmN3HvvffeqeO8q9E7z5fPX+XX/u1H71qCM4glzu4pqKyhU5qF9pzvOi4c9CgNzSGEAtiALwWNVdVwerHNQfTEsMb5gHHiOOC6nkOlMQl7rCiYLReUtgBTUISOq51itwBdyg5e4wnBYIwmYGh9JBJZdY6223BgLPOuo7AVfYic2yo5CAXzsuPi1U6oAH3HcqZYzCwYQ12KnNPZpcVhByDJJnGqXPJLm5fSNnLO45KP2qw0+ABN19E5WdBVEsrte8eeh2Ul6hw+KnZmhqIoxLAyStsuO4uDkL8JgaZp8FYAG0RJcoukbemjWKise6n02lgwKxWdj7ikJNK6iDHyXKMVu7W4Tm9VAhaIRNrO0XuZYdWlpet6gan3nYBXvGPdRQ7XDbOqGEAp+4eijbmYBQ47aBICtekV27WnSV5sXe/ZtJGuWbPqIk3TAgqjI5smEJWmLDSrBmLQVJWFwuBxmBCYzyzb85Jqu0JpWai3ZnIcuwn1F4IANDonFJCZlQ1hSHJk2ZJnVo7zJBdGO5zDBpz3rFxg08l57DdQ65avXHHMy5iUWBTbtaK0pbSM09yxd4E+aALQrSNb9WhKe9DBoorstZrduaGLlsY51p1jXokg9MoFtHIDHSDrpfZpw1FnsXEVhGaQwEdZC3XTtDReU9DT9NIi36qFO7mzMMMMdYpQBZhpg3Weq6uIVg6UYbc2FIUQ3n2Ulns7EbfeW7XUpeX0srwl3MNTEcVf6JXeTSW5T3/60/zyL/8y73znO3n88ceZzWb88A//MG9+85v59m//9jt9jHc1nHM88sQV/r//54d51xfv3nGcBQ4AvQePLj3B7/OZFRyuoVtD7+CwkQ/Up53bYg73nAYT94k+6SAakZ4KXc9l37PoG9oQcb3HI92xe3aX7FZbrFzEaM+6jyyiJ3jHY3uwrHpKa6lsYK9ZsXYR13d4U1DFnr0eotpQKEutI3XZc/XAUKqGiKUoFKUV/thWbVDasKxt8vvyHG4SPDrAQbLcOWw1MSiMZVhEgcE4c9NJO6sqLWXyn2t8YGYje41IPflEjFVxRABGEgdqI2hQFxCxbQdVFAPR3PIVKyAgSAvN4uidSgu7VB7BO3oXUZkXlo816XLueVA6jFVimjXVpYAQ9jeeqwdrSiOWNFrD3iHMym6gTVRFsp2xJiXPSONkxtcn2TGjzWBJdGk/0HYR5w3LRQHacGom16+ykngyLWNRSet33cnGIs+1gIH7J8A/OwAdApqasS3XOLneWYoti0iLhqim0JI4FCnRtNC2LU3rcE5APo8c9Cgie6tAWRRszQ1eF3TOc1WyMue2K1wyH/Uhsl2J2Ig1UilW2hMD7M6kYiyVYx0cfdezjgGjCgprUvUPoQfjAoebjnUnBHPhQ2qRGSs9eyEkGS6FDh1fuNixqBIC15YUOlKXFYXNFd/oqCHu6NLbDBHhi7Y9zgch2lsROc/goNpCbyCoyMHGcfmwgxg52J3z0nOL2wbwe6HTCW4qyb3iFa8A4Fu+5Vt429vexg//8A+zXC7v6IHd7YhRVMn/wxfO8+O/8nEu3+XjOQQ6YC/A4SMiFdYh1osHwD7ibmCBrbSLdmvYmcF+4mcdNpL4mg5sIRXF5ehoOogeypl8sdYucmnVsFof8tjKcabSWG1ZdR1N75hVFV91ehetLZgSHR2FKZhrTecV52YFB12kLkvK0rBxEINjjeHUVk2hHIetUAC0qdAK9tY9l/Zb0ZbUlp2ZwUVNqeGgjRgd2Gs02/MEEkhw92zr4pxw+azSxCgL6szKLvj03KB1LbSGUkAV2bx1UQkgo20bHrsSWRbSeut6h3eShLsEzNhL/KtMgl53kqwuH8oMSEf5O4MqDlqZJRkV2bQeiMQgc70QFbWN7K+9zJCspS4VXevx3uFVwfbC0qd2YIijuazM4iKLUrHfwqIIBKsTiVgEpq1RmBourCI7NXSlQaHZmqWWl04JLXmVZSRqBupspblc50SNxWo4aBFSfTTMylHXMW8OvA80rSiorLzh1EKS27rp2PSRGLxQNRLadgByRNGtrAvNOgo4pdQBtGFeyTFv+kitBRyjjVRcPQWzwtNFy1bhCVo2CpKkoSxLZlWBLQzrphuoFp2HWS2t8NJqvJfWuw+OjZeEe7j2bIzi3HaF1hWVFf6n9+CdWOd86WLLZtOzXke2FhYTA9VM7HQGWklCBbuu4WpnuWcB88Vy5ImmGeGiLrBp/lemyk9pQ10KWKXpHE3TEyOsW7HiObVgQAcfVzS5lXihS4LdVJL7iZ/4Cd785jfzDd/wDXf6eO56ZD7Vpb0V/593/9+849G7fUQSq/QH4MKxnxlGCkNErHRi+vPIJRE49r1UcHtXoQ2wsJIgNeCARQV1JU/y/YbH+g37a0GsXVaeHR8oC0OwJbXVeKXZtGsONw1t31CYgqquOVUl3zHdCLpOiW3KnlfMjBzV3kbAHntrj1e9SIOtHetmTRs0D5+u6ftauHBGsyyERKuCQgcR9sWQ9AKlZYWSOdmm7dk4R3Ad2tix4vNQ6MCmk1lN46SldxhkFnRxb0MIkYMYZUblI6X1tL2opxw0QroV1+xO+FgJnHG4aeicx0fYrQtchKtIO9Zo2FsLwTxqWZw3TUgzKiit2BAVpcVaRVnCwhdoIyRwrQXuXipHE2RjkJXzL65EEWavVSwqzcZBkTh/SoHDsjMLOD/jVGmH1wtJzqy0cr1WrXC+6tLSOaneCiOLepYFU75lr4kQHKe351SmwHkBl+QKrnXZ3RpMDFw5bEVBpnUD/SAE2WD47GaQ3LWJnk0LlXUcNAGjhFOnMVxdi5uBMgXzohMeYBsolOfxLlIUkbYNGKtomkY4golukO2Zrq46Lux19G0D2uBdj+sEsGKTpFjenGw6T9MGlnPh8+0uREVFKBUM2qm18Rx4B3hKYykLxe5cltTeicNG08ls7ouPXiEQ+ZLVvOZlwmf0fkz8VsvcLdsoee85XK35ypUW73rZeCxK4fKphIZtNcZIt6Eub49s143oCc/nuKkk94u/+ItsNhve/e5388UvfpFz587xvd/7vZw7d+5OH9+zFiEEDtcNj1465MN/8Af83Afvsi/OLcSUo9cDGyQRFkAL6EYsdpbAdgGxledoJ7/fATMLxoKO8IXHAn2blEVKMA6+/NgFIawCbqtkQceVDjZdy6oNnFpE9tYt2hrm1hBNSaEdTTCc0prtWYl3nr6PBN9z6ByGSJwVRAQV2QTDTmUpZ0tOLQsOG8dBG5iXkgSMVlxeOXrfY5QABawKPH6lGRaCvg8Yo2mdw2hLoT1fcGBVJAv0Nr1PqhySkF3oaXovipLGUGxUkp8S94KoCgrtePygQwHR9WxQxK5HFYaua7m4XhO853I5Y3deE5Vh1ZXszivK0rLuNPNCUZQFftVI8gqBOrVptyqVdDILbFEmPzdxpi4NbPoi0RoibR8ptMDU53VBoTxtUFTasWpGZ/G8YGb4ulYea9VgZrpqhc920Ai8fl4nqx0iTSuqHFdXgprcW7UEDDF4FvMImz4hVIXrWOjE7UuyVVolOH/bs2o6gu+JSWVG6QIfhO4QUMysTqojngsrRed6UIa169mqDWUpACbrPQdtsuzRcOWg42DVMqtkgxDR7G96loVmrSxGdVzeN+IpuFrz6OU9Dpueh05tcdiUfOmiY7U5pFclDy8qFsstVqUVwEloeeJyoDaB6GZSWc+EfrBqep64uqFphVKyVWucKtm2eYbWcrhuuLoJIn6+6njsyiU2KnL/1oLH9x337giQZOMU1sBhB9Z4fJBkFUJgr5XP6mDjKUzg9HbN7qLE2GKiH3r9NeHpztlCHJ+rXiAzupviyT366KN8x3d8B5///OcHKO3Ozg7/8l/+S771W7/1jh9kjsPDQ37mZ36G//1//9+5fPkyr3jFK3jrW9/KD/3QD93S61yPt9H2ns89dpWf/ge/y+/fiYN/FmMHaV0eT9MW8ZSLSLI6RBzCHZIEt5Hq7irQAKeB+3fAVEn/zkK9hOVMU+iSWjVcWMNuDXU5IxIxWiTBSqXY73pOFyWndnZ5ydktOgeX9w7Zb1pBNBroleVUDa1TrJsN2pbcv1Xio+XS4YqoFJUGHyNN7wnR0/aRoCxnZgVd1KzbDQdtZFGAiwqlNQurwRT0wWOU+IlZU6AI9CFAhHlZUBjNQeeoFQStmWs46B3edxhtqK1hWRZcbaV6K6xm1fagBHxyZjGnC4HzeytRUFlWLIpSKurCsDOrKQojLbjCcGpZsWp6oQ9oTzSVaGliEljEDTY42RTWOTfA3jPBuDDCw8tkZqMVV9du4PhprYdqzXnht8XghQSe0JxEmT8dNIHSRJazUt4nBg5amdP1CXjRrQ9YdZrKeLa2Fqml19H5np26wMdsgyT6jKs+CRdHjYqR1nmssWgihdasm5ageiotlIy6KAjIfLVxgVJrvA8EPCpqzmzNiDFyZd1zsF5TlCUFmqquKcuCrcqy7iLKN2yCYadW7G88rQ9EPOuu49GDQ2z0zMoZMxW5uG54fH9N30If4LUvmfPKBx5mtlywd9DSu4gxCUUZHQZpo144bDjoejSBrWpOYWBnXrPuBXz1yMXzPHYY+VP3b7NcnOHK4Zrze4doDee25pzb2WZ3ruijtFdtUXB6ey6bNjt+nq7veGyvH8jl80qq0llpBkeGTN6/XQLMd6KSe17w5H7mZ36Gr3zlK/zMz/wM3/qt38pnPvMZ/tbf+lv81b/6V/n933/2UsIb3vAGPvKRj/B3/+7f5eUvfznvete7+OEf/mFCCLzxjW+85dfLfKAQAr/5/n/HW97f3IGjfvbjkOsrsLj0ZxrZpfzz6e8aSXAgs77Vnjy2SY/NgZecCWzVDZ/dk2pwfwu++vSGlYNVCzZCsKA8XFpu+HoDf9Ku8Si+cukSm6Cw2uFjSWECSlecTpqEdha5uHdIpy17m0OW1YJlVaJNwbpzAtmOgXkZeKJxGBXZazqUilxuA1tVLQRyrVGhJ3iPTYP1WRnxIdD3Hh8DXrVEbym9o9eGGXDgxCVAK0NV1AJiUJIYtJbENjeaTmlm1jMvLFvKUauKg7ZnuzYsKktAiO9ntgtWvQATKiuzPoLDBU9hIzFErq6FP9cGy1YFPUJWbzpPDElZvky6lzohGteB/YMN6IKtmQJT4rqG1oluaGEUe6sea8Tk06sC321wsSC4VoAj3tO7nj4AvqULGqUjMSqs1iht2aoMrQtcXjXiLGEVl9YtB80GF0HrgqtNz8GmY+N7dqzB6YJlYbG2YKuQGe+WDXg8VZqTzsrAyombRYchBItVEaM0hQ4ooyE6Ht/vCMpxtfF0ABqcV+zoghAcpdJUKoipqtuw13sWqufSWrHerFh1UOqOS/sbzl/twcPuck1RWBQaG+DRPThYQdut2T/8E77+gXP0fc/aB7rOYTXsRc3clBijudI6TPDUhaUqBfSyOezZtA2fv3iRT32lZ3MIX7xwme96ecNicZrTZ7Y5XRbU5YyyLLi09gQUVhvm2rJ2mioGTJBv7qIy6KLmq84V7K1lZqgJVMkqqSC1zpW4rSsVB7cOo4TfOFVIudmEJya5L4DybRI3Vck9/PDD/PiP/zg/+7M/Ozz23ve+l+/93u/l0UcffVaoA//iX/wL/vP//D8fEluO17/+9XziE5/gS1/60uDj9VSRdxaf/eJjFIXlO//fH+Iue5o+b2IGfA1grSA618AWQlWY1+AUVKX8vOsFyHLqlEalCuvKqqcupZI0CvY2sCjEjmbjo8z7+oAtDYdrz7ntgnOLCqUtfQzMtaKLQaSbjKYympULBCczmXlVU1lLXRRcWe1z+dChtePUbI6LoJRA9kVQuWZrtgAi66an6Vr60BI8LGrDvCwwuqDQ0HQ96+CxPhAUbHqYVwX3bm/R+EDnA323Qdua0zNDYavkxuBoe0/jHbUtKIxFaYtSht41dNFQq54myz91LaW1ECOFtYQoDgtBaeZa4ZURE1VV0DpB2607z7lFIVJp2mJNxEfDfrOiC2LmWRrLldUGrSNXNxsUOpGuNb1zXFy1mOhxSlFpzc5ixlZREIgc9h3KB+qqpjaaLkSadsVh59gtK4ieA69YN2usLTldKqIquP/UkrPLOV2IXDpY0/lAbS0QeWx/RYwOrQxLC52uWKiWA2+h75jNamKIHDQNm16UTmaFHO+sCBhbYQic3jnDzCiwNavNmj5EDruW4B1Xmp65NXSu50rT4Xykb6WTUVVwemaxxvDlL7c8fgBzC6fvh8Xc4oM4WszKmlLJ5997R+UD9dzgneHs3PDEusNFTxGhqiueuNpy5Qp8eQ9eehpmZ+BP3XOOh8+c4oF7dkSLc+PxfSttXa05vSwHZGW2KMp2PY1jcD3IVXxtRZYtt6MLIxV79qGTDd1Ezu2Y3Feu1gan8js8e3teVHKPP/443/Ed33Hkse/8zu8kxsgTTzzxrCS5f/pP/ynL5ZIf/MEfPPL4j/7oj/LGN76RD33oQ/wn/8l/ckuv+dP/z/+LD1Xz23mYL/hI2BRQAlqpkLlf18CqkRbpNjLLmxWwKSD0gRBA4VksYOZhaw6X1lBHOLgKhzZiIzSzQL8HTntKA+dVz+GqwJZ2QAAAIh5JREFUx5SwUxr6agYKLm5aApFCQV0YLh46aWuqNf0GghEaQF3J349c3cNJlxHvobSws9jj3LyiAVRU9L7n8loAJGcXM5ZzqLWni2AVdD7ShEBwHmUUm7WnV5oieFYRrhwcsKx79taanfkSoyMHraNzjk27IWrD0kBVVJQKLq1W9AkhNCsUV3owsQMMB10rBHgCnoKFjoSi5lRpaPueznUcbjqChs0GWiebjErBOsDSCpo2GOgbaUOHAK6BS/uCEFQadhciQ1bPQDkwM6nAL5YdtoTQwUEDODh7esV2CXsdtB3UBrrdQNV7VKU4XIG1HZsOtueBi03FQbdH5yOXVgdCsDeiJtL2HQ7FblkQzYwzheLRlULHlkurht0IMxPpYiBazZnaostFsv0RmkLnHYcucLV11LZnb7NhUc2ojGITRXu1iZEYHDpE2kS5IUJXgXKO3bljfgq+4TRcWcHmKhxcFhK3nUHcWoMtUDpSV3Mh8hczgu85iIH9KMatVlkeLObctzvnax8s+cb9PR5pGlb78KlwgQPnKG3kJfefZXtm2ShPFwLLSg0IVGNE4Foby3rdcUkXGL/h/L4jeLHz6aNlVioWs1K4i4XCWJnXOudYO82ZuaItKuGWJqm61sWBOiMO5XqwEcoJNVv2TKs/xagK83wFodxUkvPeM5vNjjxW1zWQbEuehfijP/ojXvnKVwqybhKvec1rhp/fapL7ILJQn8TNRwlcBqoeFgi4ZZ3+rJAK7QpgOpGzWiMLbA2cAh64JKjCjZefxfS8kP5/J/27QGgQpw+E39f3AjWfzQ5ZVNA04CLUBdRzR9/IYty3iTKBJNszp2TxFsK4gGtMIYlufx8uzVtO72qsLVHBMK88F6/CJTZE13BZGRZFKW7byqD6TlpELRhr6FaR1iqiD4S+4WLrODMrWJSKCyuHVT3Ow7pp6HzgQClOLeZEpdl0DZfWju3SoiipIuxvOnof6R1slCBiy7KlLyxnbODiqmfTd1xZewor12XvEJyDrR5UIQn50EkSckiiCwGigc6AKqHtBWy08qPv2GIb6jnsHyIrg4FeyTXrAW9hT0FI9IGNA7fxVAVUoWCx7Wla4VuuGofRjSSXELi01+MTb6+aKxaFptIFypYsFDy+v+LSxQ1Ow3YFOMelTU8IioLAEwq2yp5aG1yEPgQqo1k7T20Vh95ig0JHQXYGIJZSOfemZFZGdheOPkh7e14URAKHaLZqmC0WPHSvZr/raLsGF+FcXWHLGTuzksPWoQAVHCqhelsHZ7Tm0BtOl4ZaW06fKtC2Ynl6m/nFA75U7vPY1TXLVvHIvqLalkrs4qHGe9j0itlMExN7XseIsbBeR4oycnioQVX0scB5h1KarpVZdlEYVk6xnBl8F2l7w7wyXOk0S60xUXaiwusTh3ep4KCMiTerBHls08YvA1Vy8edCsvh5HoNQblrx5FOf+tSRBOMTqfGP//iPr/ndb/qmb7oNh3Y0Ll26xMte9rJrHj99+vTw8xtF27a0bTv8e39//7Yf33M5LJJkTqf/98CU176bHlfIYnYGWApugwhsWuHuYCD75ZYVdB1sL2HvQCqDy1flZxtGaoJCKr15Ooa4lGSkCoi9JMU5gvDcEWlCCifPO7WExS7EDbQe1i1sb0E1g+3TUqGVWlqjcRuqFXQt+KviNL27Aw/dW1IUlsO2odCKZWFAay4eNHhgUWjObO9wqp6xXRccdIGXnO7oQmRRVSgfKOuKAgEXbHpPjIEuBIKPRCWVj9NwanmaoAUtqHXB7jItIAbavmNv0xODE+ufECiLirJ2nJrPWBQWY0pidNIadY62a9BGUemC07OSspjR+Ib9Tc/WwZ64npvI/lZPHwXGfqo0XOlhbsRmR6GJ0RNcIGiNci0X1h29k8+snknr9dz2nAeWNR0Fq2bFug+cW9T03rFxntV6w+7WFkur2DjYuF5mndpQaUNpDKU1rPqeWVEwKwoqW9B7j4uR+3YbQlQcti33bS8ptWVrVhICoA3L1YqyblAE7tteYrRh0zZsOkcbApW2KGupjU2izsl3TfybRL7NR3SyVUIZYpCWdowRqxRaB7wHrXoi4lPXe08bNKdnBbYoWLcdaM1WabFlTWkFZVvoAKakMtJO3LSOykLvRwf3WalonJi/dg6+9v6Cc7tL+rN7hGLGQ6c09y0FHTo3msNWuKrLmab3QjA3SuTg+kpcCc7Umi5oYgCNpQ2GZQlKawJieosWYn0ICo9iq5IvoFIkV3c5zqIi6WwqqkInJRkRSEjevwNac+oRGLkxivP5EDed5H7kR37kuo//N//NfzP8f+7x5gR4u+OpxElvFH/n7/wdfv7nf/5OHNJNRYks+jNkUd9FKo1Mp++QGymTuy8yVjlP9bp1+r1Feu454JySaubUEu4/Dad2NYvacHb3LGdmkS/ve85fuMBhL7u0+3dmuBhoPCjXo43FxZ7gxNyy1J7Lm4gG5nXBrDCU5YJSdzi1wLX7OFVweLCHKgpi17Py0K/g4koOcD6Dc9tQlhblHRc7oSbsLCAag3KeWBRsFwp0RVFo6qJkZ7nAEjnsHW2zwZiCnVmJLSyb3kM0bM8MTR9pu47eCzKy9YbTc8usmuGjorRSkmTppr2DNZfXPbuzgvvObFGWomhvlTgEZESjVqBMwValiLqA4AZNxgyT7zyDzU7vRV+zzLDw5OzduRHklAnCRgsgJeqCMwuRgtp0AjDIpq4uirP1zqIiojhcNxwmjlj2yQve0QYjih+moOvd4MYwnVNn5fxsJaSi57ANYhJrC3bmAk3fbwIGT1VVlFqkw1QUF4GszN/1brDiyTZFHnFAWDvNdq0HCxxFJLiOS+tIEVtMteCeLYuxBU0vPm6HqzmPXNxQWsXD55Zorbl0mKgiynPx0BODE9K0tYMzQFRm4P9lIFnfi1/holQURZHAFKJXmY1vxaRVPktiGNyy8+Ke/fOmZOusYZt93KbyXlnRJjtshBCYVVuitarN8Ho+yucyfb9R6DkO5qwxzq+RAnsmUd3g8dkNHh8J4s/j7JbippLc29/+9jt9HE8ZZ86cuW61dvmyaJHkiu568VM/9VP85E/+5PDv/f39G5q8/r9ef5pv+NqX8eC5HWa13BpZ+aHvWi7sbbhysEEhLsW+XfHvP/MV/ujLh1jg5fcVvOyhl3D/mQWLrR3u2S4py5JN27NuHa7vBkPLoiiGQXDvZbHyiKCxsUJADTEhnpJ9TPYAy6Teaa98iqI6jrTSiqG3DgwCuZpwRCl9+hpZkSJ7pGWDy7xIZK+xGDwu6iT3JIvqjZBdIwE4Hjn26QKT5wAmtYWyFc31jCDzeQwL93VmCNNjgNF3a3pNnu684elAtW/2Odf7vTM7i6d87vWu+XFY+JMdw4O3eA5w9HO70RznpU/yevee2eFrXnL0sQcno/6X38Rx3PpnWN7G1xrj1JP8bAqNm7b/tNZUJ7OTOxI3leTe9KY33enjeMr4xm/8Rt797nfLDnvSNv34xz8OwKtf/eobPreqKqrq2r3Mx9/2epZb27i+47ATG5a6Kq+5wcvCUhbArOTUztY1r/OaV37tUx7/YlaxmFVIzXV74niPfCrPY4xh/iRg08LmHxpuSgFPW6bjUCkQ8mvc+DY6LhmklHimHX/PvMDYYwvMk92g+bWOPfqUx3A7IdJPRxLpZp9zvd+7mede75ofP+dnKuV0/PlHd/3P3u7/dkpSvdDlrV6s8bzZO3z/938/h4eH/Pqv//qRx3/lV36FBx54gD/9p//0Lb9mhs9WVcWZrYpZXT1vEUTP93g2oMwncRIn8eKLZ2ya+mzFX/pLf4nv/u7v5q/+1b/K/v4+X/u1X8u73/1u/tW/+lf86q/+6k1z5E7iJE7iJE7ixRPPmyQH8E/+yT/hf/gf/gd+7ud+bpD1eve7333Lsl4ncRIncRIn8eKIm1I8eaHF3Wbgn8RJnMRJvFjibq+3z5uZ3EmcxEmcxEmcxK3GSZI7iZM4iZM4iRdsnCS5kziJkziJk3jBxkmSO4mTOImTOIkXbDyv0JW3KzLW5sWmYXkSJ3ESJ/FsR15n7xbG8UWZ5LI82I2kvU7iJE7iJE7i9salS5fYyQrvz2K8KJNc1rn80pe+dFcu+rMVWaPzkUceeUFTJU7O84UVJ+f5woq9vT1e8pKXPKm+8J2MF2WSy6reOzs7L+ibK8f29vbJeb6A4uQ8X1jxYjnP2+Gm8LTe966860mcxEmcxEmcxLMQJ0nuJE7iJE7iJF6w8aJMclVV8Tf/5t+8rv3OCylOzvOFFSfn+cKKk/N8duJFqV15EidxEidxEi+OeFFWcidxEidxEifx4oiTJHcSJ3ESJ3ESL9g4SXIncRIncRIn8YKNF02SOzw85Cd+4id44IEHqOua1772tfyjf/SP7vZh3VS8733v48d+7Md4xStewWKx4MEHH+T7vu/7+L3f+70jv/cjP/IjKKWu+fOKV7ziuq/7v/wv/wuveMUrqKqKr/7qr+bnf/7n6fv+2Til68YHPvCB6x6/Uorf/d3fPfK7H/3oR/nzf/7Ps1wu2d3d5Q1veAOf+9znrvu6z7XzvNHndPxcn2+f58HBAX/jb/wNXv/613Pu3DmUUrztbW+77u/eic/v/Pnz/MiP/Ahnz55lPp/zbd/2bfzWb/3W7TxF4ObO03vPL/7iL/IX/+Jf5KGHHmI+n/PKV76St771rVy9evWa17zRvfB3/+7ffU6fJ9y5+/S2nWd8kcR3f/d3x93d3fhLv/RL8X3ve1/8K3/lr0Qg/sN/+A/v9qE9ZfzAD/xA/K7v+q74D/7BP4gf+MAH4nve8574rd/6rdFaG3/rt35r+L03velNcTabxQ9+8INH/vzBH/zBNa/5P/6P/2NUSsWf+qmfiu9///vj3/t7fy+WZRn/2//2v302T+1IvP/9749A/Nt/+29fcw4HBwfD733yk5+MW1tb8c/+2T8b3/ve98Zf//Vfj9/wDd8QH3jggXj+/Pkjr/lcPM/Pfvaz15zfBz/4wXj27Nn44IMPRudcjPH593l+/vOfjzs7O/E7vuM7hu/X3/ybf/Oa37sTn1/TNPHVr351fOihh+Kv/uqvxn/9r/91/L7v+75orY0f+MAHnvXzPDg4iFtbW/HHf/zH43ve8574/ve/P/7CL/xCPHXqVHzVq14V1+v1kd8H4g/8wA9c81l/5StfeU6fZ4x35j69nef5okhy733veyMQ3/Wudx15/Lu/+7vjAw88MCwqz9V44oknrnns4OAg3nvvvfF1r3vd8Nib3vSmuFgsnvL1Ll68GOu6jj/+4z9+5PG/9bf+VlRKxU984hPP/KCfRuQk9573vOdJf+8Hf/AH49mzZ+Pe3t7w2Be+8IVYFEX8G3/jbwyPPVfP83rxgQ98IALxZ37mZ4bHnm+fZwghhhBijDFeuHDhhovinfj8/tf/9X+NQPyd3/md4bG+7+OrXvWq+C3f8i236xRjjDd3ns65ePHixWue+573vCcC8Z3vfOeRx4H4lre85Snf+7l2njHemfv0dp7ni6Jd+U//6T9luVzygz/4g0ce/9Ef/VEeffRRPvShD92lI7u5uOeee/7/7d15UFPX2wfwb0xMAlGWAO6K1p1dcauKiBZBUCugOO5Va63VscV2hFqtW+sCblTttDpUO3WBsmhV0A6joK0WAbV1qVpxrSJVCaJiIkae9w/f3J/XBMQKJYTnM5M/cs7JPee554Yn5+bmYlTWoEEDuLi44O+//37l7e3fvx86nQ6TJk0SlU+aNAlEhF27dv3boVY7vV6PvXv3IiwsTHQrJGdnZ/j5+WHnzp1CWW2KMy4uDhKJBJMnT37l15pLnIbTVBWprvnbuXMnOnbsiDfffFMok8lkGDduHLKzs3Hz5s3XjO5/KhOnVCqFg4ODUXmPHj0A4F+9bwHzi/NV1NR81okkd+bMGXTu3BkymfhWnR4eHkJ9bVNcXIwTJ07A1dVVVK7VatGkSRNIpVK0aNECM2fOhEajEbUxxOvu7i4qb9q0KRwdHWt8f8yYMQMymQw2NjYICAjAr7/+KtRdunQJWq1WmLvneXh4IC8vDzqdDoD5x2lQXFyMpKQkDBw4EG3atBHVWcJ8Pq+65u/MmTPlbhMAzp49W2UxvI6DBw8CgNH7FgC2b98OKysrKBQKeHt7Y/PmzUZtzDXOqj5OqzLOOnGD5sLCQrzxxhtG5Ya7Yhv+9U5tMmPGDJSUlOCzzz4Tyjw9PeHp6Qk3NzcAwKFDh7BmzRocOHAAOTk5aNCgAYBn8SoUCqhUKqPtqtXqGtsftra2+PDDD9G/f384ODggLy8PMTEx6N+/P1JTUxEQECCMzdQdzdVqNYgIRUVFaNq0qdnG+aIdO3ZAq9ViypQpovLaPp+mVNf8FRYWlrvN5/utSTdv3kRUVBS6deuGIUOGiOrGjBmD4OBgtGzZErdv30ZcXBwmT56My5cvY8mSJUI7c4yzOo7TqoyzTiQ5ABUuu6tySf5fmD9/PrZt24Z169bB29tbKI+IiBC18/f3R5cuXTBixAhs2rRJVG+O+6NLly7o0qWL8NzHxwchISFwd3fHnDlzEBAQINRVdvzmGOeL4uLi4ODggJCQEFF5bZ/PilTH/JnzPtBoNAgKCgIRISEhweiO/Nu2bRM9DwsLw9ChQ7F8+XLMmjULTk5OQp25xVldx2lVxVknTlc6ODiYzPyG5XRN/Z+jf2PRokX44osv8OWXX2LmzJkvbR8SEgKVSiW6BN/BwQE6nQ6PHj0yaq/RaMxqf9jZ2WHIkCE4deoUtFqt8D1HefMpkUhgZ2cHoHbEeerUKeTm5mLcuHGVurdfbZ/P6po/c36PFxUVwd/fHzdv3kR6errJs0qmjBs3Dnq9Hrm5uUKZOcf5vNc9TqsyzjqR5Nzd3XHu3Dno9XpR+enTpwFAWGabu0WLFmHhwoVYuHAh5s6dW+nXEZHok6PhnLghfoOCggLcvXvX7PYH/f/tVSUSCdq2bQsrKyujsQPP4mnXrh2USiWA2hFnXFwcAODdd9+t9Gtq83xW1/y5u7uXu02g5t7jRUVFeOutt3DlyhWkp6eb/J6pPIbj/sW5Nsc4TXmd47RK43ylazFrqbS0NAJA8fHxovLAwMBa8RMCIqLFixcbXWJeGQkJCQSA1q5dK5QVFhaSUqmk999/X9R22bJlZndpvUajoebNm5OXl5dQFh4eTo0aNaL79+8LZdeuXSO5XE6RkZFCmbnHqdPpSK1Wv9Il0bVlPiu65Lw65u/rr78mAJSVlSWUPXnyhFxdXalnz55VGJlYRXFqNBrq2rUr2dnZUU5OzitvOygoiOrXr0937twRyswxTlNe9zityjjrRJIjevabOHt7e9q4cSMdPHiQpk6dSgBo69atNT20l1q5ciUBoMDAQJM/IiZ69juj3r1701dffUVpaWm0b98+ioqKIqVSSa6urvTw4UPRNg0/ypw7dy5lZmZSTEwMKRSKGv2R9OjRoykyMlL48ezGjRupY8eOJJPJKD09XWh37tw5atCgAfXr14/S0tIoJSWF3NzcKvwxsTnFaRAfH08AaOPGjUZ1tXU+09LSKDExkb777jsCQCNHjqTExERKTEykkpISIqqe+dPpdOTq6kotW7akbdu2UXp6OoWEhFTLj6QrE+ejR4+oe/fuJJFIKDY21ug9m5eXJ2wrOjqa3nnnHfrhhx8oIyODEhISaNCgQQSAFi5caNZxVtdxWpVx1pkk9+DBA5o1axY1adKE5HI5eXh40I4dO2p6WJXi6+tLAMp9ED371BgSEkKtW7cmKysrksvl1L59e5ozZw7du3fP5HZjY2OpQ4cOJJfLqVWrVrRgwQIqLS39L0MTWbZsGXl5eZGtrS1JpVJycnKikJAQys7ONmqbm5tLAwcOJGtra7KxsaHhw4eL/nA8z9ziNPD39yeVSiVa0RjU1vl0dnYu9zi9cuWK0K465q+goIAmTJhAarWalEol9erVS/Th6L+M88qVKxW+ZydOnChsa/fu3dS3b19ycnIimUwm3A2mvL9P5hRndR6nVRUn/z85xhhjFqtOXHjCGGOsbuIkxxhjzGJxkmOMMWaxOMkxxhizWJzkGGOMWSxOcowxxiwWJznGGGMWi5McY4wxi8VJjjHGmMXiJMcYY8xicZJjjJmtx48fY9KkSWjZsiVsbGzQq1cvHD16tKaHxWoRTnKMMbOl1+vRpk0bHDlyBPfu3cP06dMxbNgwk/94kzFT+AbNjLFaRa1WIyMjA56enjU9FFYL8EqOmY0tW7ZAIpEgNze3RsexcOFCSCQSUZlhbFevXq2ZQVWxxYsXw8XFBWVlZQCApKQkSCQSJCQkGLX19PSERCLBzz//bFTXtm1bdO3aVVT29OlTNGrUCGvWrKnycZ8/fx5arRZt27YVyuLi4tC8eXOUlJRUeX+s9uMkx1glBAcH47fffkPTpk1reiivLT8/H9HR0Vi8eDHq1Xv2J6B///6QSCTIyMgQtdVoNDh9+jRUKpVR3Y0bN3D58mX4+fmJyg8fPow7d+4gNDS0Ssf96NEjjB8/HvPmzUODBg2E8okTJ0KlUiE6OrpK+2OWgZMcq1Uq+i6mOr+ncXJyQq9evaBQKKqtj/9KbGws7OzsREnI0dERbm5uyMzMFLU9dOgQZDIZpkyZYpTkDM9fTHJJSUno1q0bnJ2dq2zMT548QXh4OFxcXDB37lxRnUwmw7Rp0xAbG8vf1TEjnOSY2TKcNjxx4gRGjBgBe3t74TRVRXV5eXmYNGkS2rdvD2trazRv3hxDhw7F6dOnjfpITU2Fl5cXFAoF2rRpg5UrV5oci6nTlZXtxzDWs2fPYvTo0bC1tUXjxo0xefJkFBcXi9qeP38eo0ePRuPGjaFQKNCqVStMmDABjx8/FtpcvHgRY8aMQaNGjaBQKNC5c2ds2LChUvu0tLQUcXFxGDNmjLCKM/Dz88OFCxdw69YtoSwzMxPdu3dHUFAQjh8/jgcPHojqpFIpfHx8hDIiws6dOxEWFmYU/6lTpzBy5EjY2tpCrVZj9uzZ0Ov1uHDhAgIDA9GwYUO0bt3aaEVWVlaGCRMmQCqVIi4uzuhUMgCMHTsW9+/fR3x8fKX2A6s7OMkxsxcaGop27dohMTER33zzzUvr8vPz4eDggOXLl2P//v3YsGEDZDIZevbsiQsXLgivPXDgAN5++200bNgQ8fHxiImJwY8//ojNmzdXalyV7ccgLCwMHTp0QHJyMqKiorB9+3ZEREQI9X/88Qe6d++OrKwsLF68GPv27cOyZcvw+PFjlJaWAgD+/PNPdO/eHWfOnMGqVauwd+9eBAcHY9asWVi0aNFLx3zs2DEUFhYarb6A/63Inl/NZWRkwNfXF3369IFEIsEvv/wiquvatStsbW2FsqNHj+LWrVuiJGcQHh4OT09PJCcnY+rUqVizZg0iIiIwfPhwBAcHY+fOnRgwYAAiIyORkpIivG7atGm4desWEhISIJPJTMbVpEkTdOrUCampqS/dB6yOIcbMxObNmwkA5eTkEBHRggULCAB9/vnnRm0rqnuRXq+n0tJSat++PUVERAjlPXv2pGbNmpFWqxXK7t+/T2q1ml58axjGduXKlVfuxzDW6OhoUfsPPviAlEollZWVERHRgAEDyM7Ojm7fvl1uHwEBAdSiRQsqLi4Wlc+cOZOUSiVpNJrydwQRrVixggBQQUGBUZ1Go6F69erRe++9R0REd+/eJYlEQvv37ycioh49etAnn3xCRETXr18nADRnzhzRNj766CNyd3cXlRniX7Vqlajcy8uLAFBKSopQ9uTJE3JycqLQ0FAiIrp69SoBIKVSSSqVSngcPnzYaPxjx46lxo0bVxg/q3t4JcfMnqlVQUV1er0eS5cuhYuLC+RyOWQyGeRyOS5evIhz584BAEpKSpCTk4PQ0FAolUrhtQ0bNsTQoUMrNa7K9PO8YcOGiZ57eHhAp9Ph9u3bePToEQ4dOoTw8HA4OTmZ7E+n0+HAgQMICQmBtbU19Hq98AgKCoJOp0NWVlaFY87Pz4dEIoGjo6NRnb29PTw9PYWV3KFDhyCVStGnTx8AgK+vr/A9XHnfx6WkpJQ7X0OGDBE979y5MyQSCQYPHiyUyWQytGvXDteuXQMAODs7g4ig1Wrx8OFD4fH8KVKDRo0a4fbt29Dr9RXuA1a3cJJjZq+iKxpN1c2ePRvz58/H8OHDsWfPHhw7dgw5OTnw9PSEVqsFABQVFaGsrAxNmjQxer2pMlMq08/zHBwcRM8NF7FotVoUFRXh6dOnaNGiRbn9FRYWQq/XY926dahfv77oERQUBAC4e/duhWPWarWoX78+pFKpyXo/Pz/89ddfyM/PR0ZGBry9vYUrGX19fXHy5EkUFxcjIyMDMpkMffv2FV6bnZ2N69evl5vk1Gq16LlcLoe1tbXoQ4ahXKfTVRiHKUqlEkT0r17LLJfpE9yMmRFTFxpUVLd161ZMmDABS5cuFZXfvXsXdnZ2AJ6tWiQSCQoKCoxeb6rMlMr0U1lqtRpSqRQ3btwot429vT2kUinGjx+PGTNmmGzTpk2bCvtxdHREaWkpSkpKoFKpjOr9/PywevVqZGZmIjMzU0ieAISEdvjwYeGClOcv5U9OTkaHDh3g5uZW4Riqi0ajgUKhEI2JMV7JMYsjkUiMLvVPTU3FzZs3hecqlQo9evRASkqK6JP/gwcPsGfPnirrp7KsrKzg6+uLxMTEcldj1tbW8PPzw8mTJ+Hh4YFu3boZPV5cLb6oU6dOAIBLly6ZrO/Xrx+kUimSkpJw9uxZ9O/fX6iztbWFl5cXvv/+e1y9etXoVGVycnKFp5ar2+XLl+Hi4lJj/TPzxCs5ZnGGDBmCLVu2oFOnTvDw8MDx48cRExNjdCpwyZIlCAwMhL+/Pz7++GM8ffoUK1asgEqlgkajqbJ+Kmv16tXo27cvevbsiaioKLRr1w7//PMPdu/ejW+//RYNGzZEbGws+vbtCx8fH0yfPh2tW7fGgwcPkJeXhz179uDgwYMV9mFIWllZWfDw8DCqt7GxQdeuXbFr1y7Uq1dP+D7OwNfXF2vXrgUg/j7u999/x6VLl2osyZWVlSE7OxtTpkypkf6Z+eKVHLM4sbGxGDduHJYtW4ahQ4di9+7dSElJEd0KCgD8/f2xa9cu3L9/H6NGjcLs2bMRFhaGyZMnV2k/leXp6Yns7Gx4e3vj008/RWBgICIjI6FQKCCXywEALi4uOHHiBNzc3DBv3jwMGjQIU6ZMQVJSEgYOHPjSPlq2bAkfHx/89NNP5bbx8/MDEaFLly6wsbER1fn6+oKIIJfL0bt3b6E8OTkZzs7O8Pb2/lexv67MzEwUFxdj7NixNdI/M198g2bG6pjk5GSMGjUK165dQ/Pmzatkmy4uLhg8eDBWrVpVJdt7VePHj8fly5dx5MiRGumfmS9OcozVMUSE3r17w9vbG+vXr6/p4by2S5cuoXPnzjh48KDoak/GAD5dyVidI5FIsGnTJjRr1kz4LwS12fXr17F+/XpOcMwkXskxxhizWLySY4wxZrE4yTHGGLNYnOQYY4xZLE5yjDHGLBYnOcYYYxaLkxxjjDGLxUmOMcaYxeIkxxhjzGJxkmOMMWaxOMkxxhizWP8HzeOyoCIalhsAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -355,7 +355,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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kK1/5CuPj42zevJlnP/vZ/Pf//t+Xe30ej2dA6Vtl2SIP3auALIX0RC+YFTylDZkOkEqSFIKxqvWWzHvpTQK7T5amEt1rAG9nIPMMEYRIqSmkZCaXlENBJQoIRIlypMHARKNLM0kZqVY5dpNhOrbFL8bYdebK+lt2tKEUGrRRdJKCMgVxZkArOuUQpcqr+6R6lsySRW7btm0cd9xxPOEJT+AJT3jCvGNSSnbt2sXJJ5+8bAv0eDyDi9uTk73UpDH9CQPOgFlpYyskUXRySTkK0MaKnDJi1nQ5iiIqFUUgNFpEDFUM7SJAKU0pNMhAUAoEGE0nzUEUGBPSjSNaSZuJTkZIzp6pMsdtttWaURhQCTWagLZWjEQRKgyJAoFShjgHjKKVKsJyMeu64hkcllx48shHPnK/riY//elPeeQjH/mwF+XxeAafuYUn2syvrDTGjrRJc0le2GZtbXqelEFgG7BT2+itlEJrTa0kGK4IylHAWMWmPqMoIAhDSpUKw7USw5Uy5SiiHEbkKiDJNXGeMdnp0k5TmmlOPc6YbEmiKGJ4qEI7VtRbGXHaRWkrti7ajIQiLjSYAtlzRvEMFkuO5A6Uk3YNmh6P5/BhMa0BC13H9bLlylpxZdIQhQFBAIUK0D3Ry6UmQNNJbRQnwFpwGWuyLITtpdMiwpiUbmqrLIcrIS0CQiGJhKCbSaQRlAODFFAKFJVeVBiEJUoUTMddSkGZsaEyQa1CKzF00y5TXUU3zzBaMRwFpIWEMCdNY3KlSCQcvR4Qvn1g0DioPbmF/tCzLONrX/vaPmN4PB7PYDN330yIxYmdKzjJFAij6BaCSmgIgqBXbmKsl6UxhChSab0prYjYyshCGUJTEGeCIs8QYYk4yWh1Fd1YMjoybBvDdRmlJa00p5OlRCJgqBwQhRUiUdDICkyWERcFWsL2bIZqZEizEUqlGmlW0Epi4jwl1Ipapcx0J4NUUo/bCKASVkgz5QtPBpBFidx1113HO9/5TsD+ce+9FzeXP/7jP16elXk8nkPGgaI1VyXp0AYC5p/vUpNg04iBAIWgFGiaGZQCjdSCktEobcv/hdEgQoyRGAPGQDUEKRX1rk1PxrkmVQFdKdkwWkJKRaYkodFsDAxpIYhIGW+m7JzYyd31jI1lOG7jOoYrI0ykXRIJXSVpN6HRhqisicIWJ4UlhoqevZgsKEyAKjLqSYfGdBsdBKRKIyWUww6dXHPSxpDN60cO5UvjeZgsSuQe//jH89rXvhZjDB/5yEd4/vOfzzHHHDPvnEqlwmMf+1he/OIXr8hCPR7PyrFQT5vDtQYY0++DU9qKnBEQhba8flYI3T6ctsbKldAQFzBasYUkquclmUlDICT1WFHrmS6nuW267iQ5rSAkNAWSiDxNUYSUQgiMIZcJU03BhpEqE40Od+3ew4/vzYibsGcdCN1k06YKzXab6VixezcUGSgDowEUqkDnOYWx9l+dLKaZGygMKm+TpDBa04zWyhiVc/8u6Kg6P32gymNOPeWQvS6eh8+iRO5Zz3oWz3rWswBr3XX11Vf7AhOP5zBC0B9tM3dw6bxz5vXB9XrYDISBsRME5lzNGi3b/TZtBCMVgTJAr4ikXIqIRMBMV2Jkxq4ObBwKUEZYZ5FcM1ILQEQoadCEqCKjnWq0VrTTgnrcZPfUJPdMNhmfgaINbaCWwlQLKpUmUy3Fzt0wnkIMnFKG9UNQjmA6bpMlBa0EHtgGI+tgOIBwGGQMOXDiphJ5HBCplHYX4iRewVfBsxIseU9uf2N00jSlWq0+7AV5PJ5Dj3Xxh8XuOIWBmK2czApbiu/Smm6vTWnTaweAIBAIY2anBQghEEFAiGI6hkqo6eaCQkqKPCcAjAkZqwZ0kpw4TsgMVIWik8Y8MDlFkhuSBOLUfpUqcHIEhYC8gF31jOkp2JPC1t66N+cQ1KCTw87pgiSBZgeaCmQXykMwVIY0hrACjW5CHms6TZAFVMN8hV4Bz0qx5FKhL3zhC3zkIx+Z/f3ee+/lrLPOYnh4mAsvvJB6vb6sC/R4PCuPs+IKFlc8OdvnZhCzrQG5tCNxMmkLTGrlkCgMKEf2qxSK2YndWmsKZaPH0OQ02zlGZggMcapIMjsupx4rZF7QlhqtCmaSnGZqhaYwgIAghA1jsGkzRENQLkEngfEJ2N2F6Tnrnga2bYWJ3dCsQ70OcQF1oJ5Bqw4zLWhMwZ7dcNfdmh/eC/cA3RymksUPfvWsDZYscjfccAPdbnf29z/7sz+jXq/z+te/njvvvJP3vOc9y7pAj8ez8jjRWkoLkHUvEbOFJm5GnNZ2aGkUBtabUmniTJLmEm2gkIp6O2HXdIc4SUlSSSY17W5OnEryPKOT5bS7GZ1OylSrze6pCX619UF+tX0HU9N1cmUYDWFdzc56C4DmHrhvHKamoduGOIEmMLd/exz4kYKJFoTGpiTdIzbAncC2cfiVgTvb8MMY7tUwA7QkswOiPYPDktOV999//+ykgTRN+fd//3duvPFGXvrSl/KYxzyGG264gfe///3LvlCPx7Oy7F0huZDgza3CBCuOLiVps5RmnptJoQydJCeVEGLTmo1YkmUZrViBVrTjmFhBN5aMVCt0pSRUBZOJQMmMB6an2NOG1hQMjYHRcPQGSCRkGUxOQiuFXwNDQAvYDHSxIlcs8Fh/BZyRQhkrdEPAZO/Yvb3v3b2u0wQi30EwcCxZ5OI4Znh4GIDvfe97ZFk2W5Ry1llnsXPnzuVdocfjOSTMrZAUc6os5wrbguN0Zk2YbdqyWrICqY0tZMlVTxSN3QsrCcXOepdWJhmOQBlDNytQWcx0mhBoRaoDRkqwo52yq26jsnoHTAAlYCqCtAHt3KYRt/cegysLaWGjtgMlF3cCm7CRXgGkD/H8dLGC6BkslpyuPO6447jjjjsA+Ld/+zce85jHcNRRRwFQr9cZGhpa0u21223e8pa38PSnP52jjjoKIQTXXnvtPue9/OUvnx13P/frjDPOWOpD8HgOCxaa17aYY/u7LWNsk3YgrGgV0tpuZYXaJ4ILxPzROtowO+DUYP0js7ygmyk2DgUMV0uMVCNGynYPLApDaqUILUJqUUggoJ1nPLhnil/srjM+Ps2du6aZaXRRMUQC1pVtFNduwcQuuLdjRTNnfrS2kYcWOLCVmFPArt73xTC92BM9a4YlR3LPe97z+PM//3Nuu+02vva1r/HWt7519tjPfvYzTj311CXd3vT0NB//+Mc599xz+d3f/V3+/u//fr/n1mo1vvWtb+1zmcdzJHKg3rYDHTvQbRkEUW8cjtT9ETl29hsgxDxxiwJm7bvKIeQEVCLr6p8UBiklqYHhisEYa+lVDqEU2QhspAyNbkacZcRdm7Zsz0ArgKQFGSByWL/JVkw2chutZdpGYDH9SMyxYwnPYWcJ5wLcs3uJV/CsOksWuXe96110Oh3+67/+ixe/+MW85S1vmT12yy238NSnPnVJt3fKKadQr9cRQjA1NXVAkQuC4IBuKx7PkcTeQ0oXe2wuLkIT2LSjEzSAUBhEYC+b0+c9e71c9c2Xw8C2BNRCN1VA2YGjhfWZ7GQ2ytMGoigiLJUZHTKoPGG8KylkRjOHQEGnAxOZLfsPgWOAzpSNtlrAGPaNy4nbUoXq4XD3Ibwvz/KwZJGr1WrceOONCx67/fbbl7wAb+js8Rwcew8pXeyxucyN4Ephv8/NIOw0AAxxrglQSGFbAcLANna7HjltoFqyLQJZYUfYuAGjpVBgtCLLJEUQEAlNFIYMlQPCwLCrmZG0m9w7nVDEkEuYzOBB+sI61fuSvd83YPfHAg6twIGNLD2DxcOy1L7rrrv4zne+M6+lYCVJkoRjjz2WMAw58cQTed3rXsfMzMxDXi/LMlqt1rwvj8czf49tbhuBawfopLb0v5PZHS6bmBR21pu2+34CW3CSFpokK5hq57STgiQrSHJFkiukhkILksKACKhGECcF9Xab3d2EyT1w/wTcOQN76AucAEaxRSGjWIEzWHF76P/85Sdchfv0PDwOagrB//2//5errrqK3bttgvoHP/gB559/Pr//+7/P0572NF796lcv6yIBzj33XM4999zZ9oXbbruNv/7rv+ab3/wmP/jBDxgZ2b9p6vXXX89111237GvyeFaDpY6+Wej8/bULaK1nC1bcZU7IlFK9opRg9jZc2jJA0k4VSVYQBAEBAUmuiDNJIRWVyN5HmuUopdk902DnTIudzTY7tsGu1KYiE6ywlYH1WFHp9H4PgZHeOe3lejKXSLJK9+s5eJYscl/84hd5+ctfzrOf/Wye9axnccUVV8weO//88/nHf/zHFRG5N77xjfN+f9rTnsZ/+2//jec///n83d/93T7H53LllVfypje9afb3VqvFSSedtOxr9HgOBUspKnFz3QIBmn4K07ULWOcRQSWy6clCuT06K4rlKEBrTVZo6p2Mcili3VAJgHZSIJWmEgnauXUvCYKASrmEUTlpLpmut0gLSRAIymGE1ppdzS4PTu5hx4S2kwEyG5V1gCr2TakDTOz1WFosvgrS43EsWeSuv/56XvGKV/B//s//QSk1T+TOPPNM/uZv/mZZF3ggnvvc5zI8PPyQe4GVSoVKpXKIVuXxrCyLLSqB+SX+pTmbE4EAZTRpYUVK6pDQ2JYBYwyVUogxgLCelHGuaSeSdUPCzndThk6ckinBaMXGdkoqogBqkaGeWWeTbmGQUtPNYtqppmRyZtIuD2zXTDdtZDROv7/tQL1qvkfNczAseU/u17/+NS984QsXPLZx40amp6cXPLZSGGN98jyeI4XFWnC5dCLYUn9XDOJuAxFQLfWiN20FLwgCNIFNLRaavJCkhSYUxhaLCOtRWRQFzdRQCgxJYb9yZcfnjLcKhC7oJIr1FYGRGTNJgVAJE1lGI1GUSrapu0Ff4DyelWDJkdzQ0BDNZnPBYzt37mTDhg0Pe1GL5eabbyaOY99W4DliONB+3Nx9tkDYcTezQ017xwsNpV71hGDOuUpTSOvyGAqQCowqGG8VoCVhIKiUSgTC9r5NtXNqgaKTBgyVIJUQpzlpqogCjRYRlVCTqQhJwEgoua/eRSbQiaHVsJGZFzjPSrNkkfut3/otPvzhD/N7v/d7+xz71Kc+xSWXXLLkRXzta1+j2+3Sbtvt5F/96lfcfPPNAPz2b/82k5OTvPjFL+aFL3whp512GkIIbrvtNj74wQ/yG7/xG34aueeI4UD7cc5WKxCge03bronbVkDa3rdCBWA0yggEEIWBbRMQgkILyoFNNU61JXGakyuoRIKqUWRZRlwIAp3RUSUqYU5DlhA6J0k1UmbMpJIgsC4lSVGwa3qC7Y0CJEw2oNGye27bDvFztxz4nNHgIcxifX96/PCHP+RJT3rS7BTwN7/5zVx55ZX89Kc/5Zvf/Cbf//73ZysgF8sjHvEItm7duuCxBx54gHXr1vGqV72Kn/zkJ4yPj6OU4pRTTuG5z30uV111FevWrVvS/bVaLdatW0ez2WRsbGxJ1/V4VpP9RXLG2DSiq4p09lru37tQxqYae4JVKHue0cruu2FH5GitkRqUUnRSSTvO7P1oSVxAkUuiEFqJYrgskEpQqwhmOjlCF3SlpshTUi3I0y7Tac7uqZSka5u8O5l1JFk4FzQYPPiXv7PaSxgoVvv9dskiB7BlyxZe+9rXctddd81edvrpp/Oxj33soCK5Q81qP+kez3LiKigFZraHzSBmC1PcMRflCdHrczPCDjilL4KFsm8HeSFJsoLJZkIpCsFo4tyQZzlZoRBGkkpDNYJMCbI0pqkEY5Fiqp3SLgra3Q7tDCYmIO5CW9k9uMmFH8ZAMAL8wovckljt99uD6pO79NJL+fWvf819993H+Pg4mzdv5tGPfvRyr83j8SwCZ8slNVQiK3Bg99kMglDYBuxQS5uODA1BEGJ6vQJJbh1K6Ikj2poytxJJoQyZVERCIQuNksoKpgnIZE6uA1Te5cGZLlp22CYDogAkhlYMnS6gIVXWhmuQBQ4OvcOK5+FzUCLnOPXUU5dsyOzxeJaXQIBCEAW9SdtC96I0QxAIlBFEwjqSSKUpBJRLxg47DQICYVsHusqwvhYwlWiktIUo2vREzwik1HSKAiM1ucpJpZ0LN9VOaKQpzRi01IQlO3ctLNkIrt61M9p8C4BnNTgokcuyjG984xts3bqVNJ3f2SKEOGBjtsfjeXjsvS9n04+GTFqByxQEwu6vaWNd/zPZG2KqBQGaQlnf/moE3cxGbZVIMBNHlIVkqpOSphnDtTLGhGSFZibuUk9TtNRopUiVZLoTEycF3RxkAnEG1bLde2t3YY+2o2w8ntViySL3ox/9iMsuu4zx8fEFZ1V5kfN4VhZXYam0QQgwWpEUhgCNxPaypdKmMEuRbSXolaFQjUApezwQMNNVdJKcRivGGBiphQRhZFsRRESmBIFRJKkkyXNa7Q7TaU6Y59RzSNpYcQ3AGPuGUm9Cq7AmywtN5R5k/ttqL8CzZJYscq997WsZGxvjxhtv5Mwzz6RcLq/Eujwez36YHVLai+iywqpepgS1EhQKMBrZU0OB3ZMrpEIZgZTKtgsUim5S0E4kUkEhDYXS1Kqq13agydOCPJfU45R6p8t4N0GgaBWgDGS9tGQWQ6sDHWOLSw6tJcSh46T1q70Cz1JZssj98pe/5KabbuLyyy9fifV4PJ4DMG/+mzYUUpIXEoOgWgowJpjXFD7bHB7QG2Rqi0fCMEQpQykKqZUUWoIsMvIchBYEYQmBpp3m1Lsx0+0WM3FOqBUmCAgLTSohklbkJtq2qORwnyka7t8H3rNGWbLInXzyySuxDo/HM4e5+24w34PSGEPW64nLpEGZoOdqIohzjdE2YquW7OVKKdJMIoymhKKTFQghKQX2+nGmiEKBCcoIFJ1CIYqcJM9J8oJm0mWym2KUQklIck2rBQRQSGjV4Wer+mwdOk4eXe0VeJbKkkXuLW95CzfccAPPeMYzvOmxx7MfljoOZ+/ruAkBWa+3LQoDei1sSKVRys5oi4RGA8Jo0sKW73eVYKQSEIXWnyMrIM4kUoMs7Iy3PMutT6UBLSUzmUQYSaYUcZqQGUGoJd0kZ1erjSrsmnIJcQpxB+oFbOfIGj+z53DNwx7GLFnkXv7yl/Pggw9y6qmncskll7Bx48Z5x4UQfOhDH1q2BXo8g8DeojbXfitgcYKntD3PCDvjLbd92khlXUjKoR1lo7SZLSYxIqRWto3dIYq4gJGyvT5AURS04oJmJ0EZQbcTk+sArSVD1QpFntPNFUJLpIGsULSLgiQtKGRBYQSBgakYZA5JE3YUNi2pVvg5XYt8d+/5P541z5JF7itf+QrXX389RVFw00037XPci5znSGRvT8m543CWMv/NIYSgHEJa2AndUQiFEkTYyC4MBFIZypFAaUMUQC4FlQgQIUFg3UzGWwVaa8JAUKig125gr4OSSCkJhaYrJVopCqOIuwkTSYZMDWEE3Q606zCZ2LE4R3JD9JH82AeVJYvcn/3Zn3H++efzsY99jDPPPJNSqbQS6/J4Boq9Z7wJ0R9QOjeS25u9Jwc4tLYN3S7lWChDKeydEwSUhelVUEJgFLmKev1vAoEEbfvfjCrICg3GMFaBUEd0E0Wmc5qtDG0KZKFJDFSEssUpSlKkhslJu+fWTayZ8iD7TS4Xj1ntBXiWzJJF7sEHH+TLX/4y55xzzkqsx+MZSIQQfTHDzEtLHuiYNv005dyZb4VU1n8SjQhCyiEYo2knyv6MsHtyIUgdALbasRza2W6doqDRSekkkjAUDJUDmolGF4pOXjDZyojzhE6So4VmWMCOtEAWiukGNBowkdlROId7xeRSeNy5q70Cz1JZssidccYZtFqtlViLxzPQHCgtufexua0AMD+taf0i7YicwghGSrYtIM412hjiwvawARhdoLQ9v1YSJLkhzSWNbk6nmxOnBSIwdIxBi4AkS4kLSbPbYE8npRZat5R724aiC90C0g6M5zADtA/B8zZInLxx/WovwbNElixy73rXu7jqqqu48MILOfbYY1diTR7PQLJ3yvJAx5ygGQTlSMwKnjZQCgUBglTCUKnnbIKhHGjaWTG7B4cIaKZydm6cNhHCKCuGStpKyiIFo2yVJoqpdpe0KJhuJkgNU10rms1pqBuQ2GpJX1+xMFG42ivwLJUli9zHPvYx6vU6p512Guedd96C1ZX//M//vGwL9HgGhbn7cI65VZfhHPWbK3ounam03Ytz+3EjFYEIwlkRK5RBE4Aw5EqjjMFoRT3VlAIzK5JoSTeRFFoj84LJOCXPutRTCViT5q4BmUIKJClMGmjR+/3QPWUDx4OTjdVegmeJLFnkfvaznxGGIUcddRQ7d+5k586d844vtifI4zkSOFAK0xiD1L3hpca2BRRSz85/EyJkOGL2ONi+uHZuKAlFIGyfWzWCrNA044JqBK1uRr3Tod7p0EpT0iJjz0xBJqEUwnAFhkJoKOiMw3Zt992WPFjyCGRPfbVX4FkqB1V44vF4FmZvpxInTuFeOUypNEmukEpTKdlozSAQ2OGlUjNn+KmYHXQqNQhdMB0XRAGIICQSmm4qKbKcujF00oyJZpNtzTZFJoljaLVAA6PDoKogFCgNsbZ2XF7gFoeRq70Cz1J5WPPkPB7PfOZGbtDPbLjvTgSt76TdP7PTAmxvWykUdsCpkHaYqdaUS9GshZdB0M0NSW4oCsW6EUErLcjSnFaSUqicepywp9km6Ug6mRW0QoEw0O5A1oF6Am1p57x5Fk/sK3EGDi9yHs8yslCBybz+t55dl1R2KKlrzC73RFATUI4EnTRAKUU3MwyVrCVXlhcUUiGlpBIqVKGIY0WWK1pxTCNN6CYJqVQIoTHC/oPHBZQENBPItO13820BB8dUd7VX4FkqixK5MAz57ne/y+Mf/3iCIDjgvpsQAil9TO85Mtm7+GTuz1pr8kKRFppSKGyE1uuFA8DY73lhELqgFUswmk5ser6RNuoLBLQSRSgMjU5GIXO2NWboJCmdWGKwVYDCgFSQdSGV0NKwEz+h++HQ1qu9As9SWZTIXX311Zx44omzP/viEo9naRhjSAtNLm1RSaGsF6VGIAykhSZAE0URUhsKExKFmjTXJJl1LRFG0u7mJIUkTbs0c0Ve5IRhRJIWzCSSuAvVCrRjaDVgvGP73RJsY7fn4THq3/oGjkWJ3DXXXDP787XXXrtSa/F4DjuMsd6TubStARgzO/sNERAaTSsBjEQbKOvcTgxQ1m8ysq5eFIUkzXJaadqb7xYTqwwKQ7lkKKQmUr20ZBuak9ZncueBFudZMkePrfYKPEslWOoV3vnOd7Jr164Fj+3evZt3vvOdD3tRHs8g4HwnXQXlQsezQtFJJWkubWuAcMNNDUXPeqsoCrJCEaCZ7hQ0uxmTrYxmXGC0olCGNCtoxSntOKHZ6ZAWCWksKYSy3pQiIChBVIKsCffjBW4lOOWk1V6BZ6ksWeSuu+46duzYseCxXbt2cd111z3sRXk8q8VDCddcXAWl0gtfx1VROm9K10aQFYp2UtCMC+qdjHq3IC8kWS+V2c1tOjPNJVPtgna7w2SnRSuNyWVGO8uIc21H7yhodGDXuGb7Nvj1A/BfOTSW+4nxcDSwbt3Qai/Ds0SWXF15oH/+TqfjpxJ4BoaFBpsuZSzOXL/Jha7jfCmrpWDWtSTNJe2kIM0lSVaQpBIRCFQ1IsolYSAYLduUZrOT0epm7Go06WQ5AYZMSjqxph2D1lAJbXpyW2/vzY+CWTlGgbFSebWX4VkiixK5n/3sZ9xxxx2zv3/1q1/lzjvvnHdOkiR87nOf49RTT13WBXo8K4Ex1iYrELb4Y3YszgH8J9315gqjNVvuX2fucetLGdhxOGjiTFLvFqRZTiYNhYRarUyWS+qtDKM1taEKw5WAOFc0OilT7Q57Gg1SVRAQUOoNRu20IE1ttd8EfgzOoeDoYagND6/2MjxLZFEi9+Uvf3k2DSmE2O++W61W45Of/OTyrc7jWQGcwFmvR0EkrG/kXOHaH/ubJuCuq7RBa00qNRjrQVktBaS5Yrqd0eqmGGOoliPGqhFhGNJB0eoUdNKcWp4yE0Qopai3GtzX7KLSHBMGREYx3oHxXTCl7IQA7zK1/ETYqedlIJtz+fqNMFyprM6iPAfNokTuT/7kT3j2s5+NMYbHP/7xfPKTn+Tss8+ed06lUuHUU0+lVqutyEI9nuWiP7HbOozsL0W5UDpTMMdyyzAbDSoDQtjjWaHoZgqlFAJDo2PIsoxGV1IUiqFqRBQGCNGfJaeNIVcZM52MAEUj7vDAhERlYARUS5pmG/Y07X7bNFAc6ifuMGME21ZhmG9rJuccc9SADSNw9IaRQ7dAz7KwKJErl8s87nGPA2DLli2cf/75jI6OrujCPJ6VwJh+gUgpFPMHmu4Vwc0tKIlCu68mdT8VqXvHVK+oRCnb6J3lBVJab8pCWsHrdtOeiGrSHOtcogxSavIiJ8sLumnKnmaLmbak2YEisUUlJQFt0x+B48Xt4RMAVWy0ljJf0CKs6NlRtJaTsKYY1Yrfkxs0FiVyxx57LBdffDHPf/7z+d3f/V0vcJ6BRZt9/ST3NyJnrsjZUhDbAiC1saLWmyAQBvYrLazxsm361oQoGmlBp92lU2iGowDKFTDQjQu6aUJc5ORSgjHsqTfY09DMzAC6t+cGdA1MHdqn6bBHYyNiCexdL1npfTkHrypW8MqBfX09g8WiWgi+9KUvceKJJ3LVVVdx4okncuGFF/KhD32Ibdu2rfT6PJ5lw0Vxxpj9FpY4XMm/+xKY2f22XGqyQvV/LyStbkqe5xRFgdbaOpxIKJcilCgxVi2TaoiEIs9y4jRhvNngzh27ueOBPfz43nF2jGtmpiCLrcAZY6MML3ArgzMfXCiKm2tMKHqXh2FEVqhDtDrPcrEokbv88sv51Kc+xcTEBLfccgtnnnkm7373u3nkIx/J4x//eN73vvdx773ez9yzdnHFJmAjtwNZ02ltzZMLqWb9JKWUs+ImMHQzezyXmm6mmO4qCi0IwogoigjQpLkkQHPUWEQYRVQCQyfRSKWIi4KdzTbbJhT3bYUd4zDThDiF1Ngp3TuwriWeQ4fE7r/NbYRKsIUoQoTe0nAAWVIzeBRFPPOZz+TjH/84e/bs4etf/zoXXHABH/zgB3nMYx7Dueeey7ve9S5++ctfrtR6PZ4lM7+a8sDtAUob8t7g0rTQxLmN3Lq5mXUwSXKFlrltB0hT4kwSmZwkK0DlYDTSBKwbKpFKIIioRIZUaurdDrtmpnhwapr6TEG7BVJCK4U8swUsMbAVW1ziOfS4WO1YegUnwFAJRqsVhqu+D3jQEGYx1g4PgTGG73znO9x88818+ctfZseOHSi1dsP6VqvFunXraDabjI15M7rDmbkCZxCzxSb7Oy8QtigkLTRSytk9vHJonfwxGoMgzuSs6fLG4YhUQiUSZNJQjgLQklaqaXe6ZIXAqIJOLplqNvj1+AT1aegkICS0EsiNnQ4wje95WwsIbPP3scBwACceDxf+xkk86eyTOf6o9au7uAFjtd9vl2WenBCCJz3pSTzpSU/igx/8ID/4wQ+W42Y9noPGlf+7/TfXLiCE2Kc1YDaVabQdTGqMHV5KNHtuFAXUAkPWKy4JjKSdC4ZCSbcoMRwpOhkUeUbHCEJhyPKCyWZKgCLPc6babX6xrcF0AxotGK5AJiEw1mfSz+NcOxjsm+P6KmxaD+tHoVoO95nw7ln7HLTITUxMsHXrVpIkmXe5EIILL7zwYS/M4zkY5oobWEESwrr5ayMQRs+2AWgEaDudO0CjCWYbuKMAaiVBnBvKob3tUigoehUJyggioekUAccNaRIZYFTGVDMj752USkmapjTTlEanzfZ6yo49kOY2JdbMbGFJGy9wa4Xj6A+UNUCooShgpgvdNEf64sqBY8kit3v3bv7oj/6ILVu27HPMGFtSvZZTlZ7Dl7kpR2Ns07ag50TSa/R2Aqe0IRA23WiMIVVQLdnjtqLSNXhbB0qtNanqV2jmygrdSNkw3lYMR4rpdk43zejmGUWR00lz2t0OM0nG+ARMTsMubG+W6n1NruYT5pmlBBwFbO79nAObsH8PUw0YUdDJ81k/Us/gsGSRe93rXsdPfvIT3vve93LOOedQ8TY3njXA3L0318oUCit0IbavTRvTe5MSdu9NGbSSJLmyDd8iohSFBIGYnQMHVui0trdvlCJXgvVD0ezenCwyts1k5EVBkac0uzETjQZxLmknEHdg17Q1UG7SFzjP6lPFfhAaAY4B1q2HYQn1jq3KS6U9nudgdLGo6RSetcWSRe62227jhhtu4BWveMVKrMfjOSjmWnUFwqYsC2V69lmCIAgwveZtrW31pFK27F8TIIShlWpGq4Iw6Kc8S2FAKRQkOQRG0kgVQyUoVECtBLLImal3GG+1MBjiNKdb5OxuSDIJqgNTbRux+aht7RBh2wVc4/cwUK1BNYCutJeVy1ApQa6gVoJGqunE6Wou23MQLFnkhBCcdJKfHOhZO8y16ooCcP26bqKA0BolxGwLgZvSneSKQEBJWGf/SGg6qU13CgzKCGolgS6ViAKYye2g051tRa0S0Qlgqpmzp9lmvNNFFhmdLKebGbptyFOYiW2vm28HWFschU0bR1hBSwAlINNQqwEahkftKKOyhEJArRTSyVdz1Z6DYcki94IXvIBbbrmFpz71qSuxHo9nycw1WAZmU5GCvqEyKJQRBNhG704qCQRUSiGEJcYiQyeVKKURRtHJoRpBnBq0TkhziVKKONPkuaTTlrRziZEpU3GHOOkwPq1JEmi1QWjYpazAea/JtUcJ2yKwrgyiDGls+/5LIRQahmtQrQDSGm+XA6hEAZtHlqUg3XMIWdQr9uMf/3j259///d/n1a9+NVprLrvsMjZt2rTP+eeff/6iF9But3nXu97FHXfcwU9+8hOmpqa45ppruPbaaxdcx1ve8hZuv/12oijiyU9+MjfccAOPetSjFn1/nsMHV0lpo66eoKm5Dd8CqaEc2pRTFFinkqywbiWlUJAVtr8tV/Y6QShIckE1MiS5Ii8kjVZGkkuqJZv6zPKEHa2ESBc0k5xUFXQzjQK6BUwXtiUgO/DyPavICFCOoFSDMIRCwugYqAzKJUhy62kpgSyDyghUohJjI34y+KCxKJH7zd/8zXkNtMYYPvzhD/O3f/u38847mOrK6elpPv7xj3Puuefyu7/7u/z93//9gufdeeedXHLJJZx33nn84z/+I2macvXVV3PhhRdyxx13cNRRRy36Pj2Dz0IuJq5xe+6ct1JgUCagEmqSwsz6SkZhAMIWoCSFmfc3Ww4hKzRJmtHtZrSTjDAUSF0iQrKzGdOOmzSTnEJpkLZysj5jI7edq/e0eBaBmy4gJUw07esdiF6hibbWakEKyRDUQpu+rAxBJYAgWJJJlGcNsCiR+8QnPrFinm2nnHIK9XodIQRTU1P7Fbmrr76aSqXCLbfcMts1/7jHPY7TTz+dG264gfe+970rsj7P2mOuwM0dfRMGfWsu6PW1KXrtAAJj9KzxcikwtFNJolSvxcBO8QZQSjPdKchSRTdXtmhcG5RO2NlJqTenGU8kprCVdzt3w2QC963aM+JZCjX6Fa4NoKJs6lICUQUqGQQjEPZ+Fwo2DAUEURkp5f5v2LMmWZTIvfzlL1+xBSxGPKWU3HLLLbz0pS+dZwtzyimncOmll/LlL3/Zi9xhzN4OJe5nNTu81KBt3hKl++4liIAAjdIhwihyacgLSRAEpNI2fecKgkBQDjRZYTAyY9d0SpKmdqipMSitaWc5k+0WM3FMJzYIDRO7YTqDB7FN3Z7BIMUKXbUCtcIWm5RDiJsQRVCK7HeZ23M3bISNw2NsGBq21m6egWJRIvfhD3+YJz/5yZx11lkrvZ4Fue+++0iShHPOOWefY+eccw5f//rXSdOUarW6CqvzrCRzG7ztEIF+JaUxBo3AGCtucW/8Tb/wRFEoQ7VkIzitJDNdyWhF2MhP2F46YSTNxFArCSZbtqAklwohDFmW00w6jDc7TLdAS4hjmG7BA/RnjnkGhxFsujLLYLgKx2/oTX5oAMamLZMMsgLGAggCGIkMYRBQEr7DcdBYlMj9z//5PxFCsHnzZi655BIuvfRSLr30Uh7zmMes9PoAu28HsHHjxn2Obdy4EWMM9Xqd4447bsHrZ1lGlvXLAFqt1sos1LNszB1a2u9/o9e/Zu26ZgdYGj27rxaFQS/6stMEBIZ6LhgqQSeHsWpApgRjFWinCqk0uYIs6bJ9QoJMKIUBnUKS5TG72zGTzYy0N+MtzqCdwr3MnznmGRxKWJGr1mB0A4RDUM2gSG3kVoS9dKaCqQyGarC7knBinqMIV3fxniWzKJH79re/zZYtW7jtttu45ZZb+OIXv4gQgmOOOWZW8C699FJOPfXUFV3sgVKbBzp2/fXXc911163EkjwrgIveZiM2rJek0gbVEzc3Gw5skYhUtqCkFPUNmJVSyF5KM84FEZpCBayvCuJcM91KyTJJuQTTbUk37tKVBaExGDR72m3GZyTNOjTafRuuidV5WjzLRARsHIawCkhIu5BrCEswVLaVlqGCPLIjdhIF7U7Orm7COdI3yg0aixI5N2HgHe94B0VRcPvtt7NlyxZuvfVWvvzlL/P5z38eIQQnnHACl156KZ/+9KeXdZGuTcFFdHOZmZlBCMH69ev3e/0rr7ySN73pTbO/t1ot39C+Btl7coCaM51bG2uYa3ptAa4B3E7mtmnKSim0UV1W0OltntjxN4IiT8l0yFg1IClKjNdjZlod8kJRiQJkkbCj1aJIE9KemDYbMFmH6dTOeNsD3rnwMEBj+95OOUGglKHehE4MJQEEtj+yCO2EdqFgdAjK1YANpYBM+0hu0FhyZ2OpVOLCCy/kwgsv5OqrrybPc7773e/yN3/zN3z5y1/ms5/97LKL3KmnnkqtVuPnP//5Psd+/vOfc9pppx1wP65SqXiPzTXO3L036M1wi+aMxtHaRnFSobUVOIOwQ0wLQymwbQGZ1KSFpp1ISiFIFaCVZKJu5zs3REAUhhRSkuQaLQumuwVZkaLygplMkcWQdO2k7kllTZW9+fzhg8K6m3RSg8ihk0LcgiCCigFRA1JYN2Kbw2ujMFwqIw0Ml/zHnEHjoNv3f/3rX89Gc7feeitTU1Ns2rRpRcbsRFHEZZddxj/90z/xvve9j9HRUQC2bdvGli1beOMb37js9+k5NCy09zZ3sKkxdm9NKt2L5gRBIOxMN+zE7kokKIWBPa4VSZrR6aREAYwMl2m0M9ppRiYLhitVosAWlmRFwmSzw0wrpllARUCn0fOazK0Vly8sOTxwvXFg9+TaLagNYe3cetPYxwR0FKzLQUcwFkK5ZkcjZaog18aOY/IMFIsWubvvvpstW7bM7s2Nj49z9NFHc9FFF3HNNddw8cUXc/bZZx/UIr72ta/R7XZpt+1UrV/96lfcfPPNAPz2b/82Q0NDXHfddVxwwQU8+9nP5m1ve9tsM/jmzZv5X//rfx3U/XpWj7mpSWfHtffkbidwhbQuJfbC/jy4QhvWD0Uobadxa1dlmUMUhkglaXYKkiIhCkMiEVAODDOdLnGeMdXpUm8XNLu242AygUYHtuPnux1uzI3EI2BkFOLcTmZvpjAkrJiVBexI4KgqVI+DoQCkgU6miDDz9oI9g4Ewi5gdccIJJ7Bnzx6OO+44LrroIi6++GIuvvhizjjjjGVZxCMe8Qi2bt264LEHHniARzziEQD86Ec/4q1vfSvf/e5359l6LbXgZbXHsR/p7J2adITB/MndxphZn0mpNOUoQGk7A64cBUQ9B4qsUJRD6KSSesdW0nYTSSElBsgLRRQFaJnTiBO216cZbyra09BN7fDSAJvGug/vNXm4cxrwyA1QHgIEJG1rwdZtghYwY6yl1+Yh2LwZSiWoDYU8/hEn8cSzTuaoDaOr+wAGjNV+v11UJLd7926Gh4e59NJLueSSS7j44os57bTTlm0RDz744KLOe9zjHsc3vvGNZbtfz6Fnvh3X/Mht7vFAMDspQCpNKbTjcgKhUdpOFAgFxLkiRNFMrFOJwCApMVQTJIlhvNXGaEnWymhmiolOi3oTWh1oNm3EVmCdL3xq8sggxO6zlaqgCmgp216iAIx9UyxjBS8rQJRg09Aw1VKVoWp5VdfuWTqLNmh2e29vectbaDQaHHfccbMR3cUXX3zIeuY8g8nelZMLCRwwz4dSKj07FocwpByCVFCOAowxZFLTiTM6qaQS2tE4ShtGyoZGq2C606UeZ6ALdrVjOnFOpwnTU9AydohpBzsF2nPkUACBgdFKQFtqpLJDUTNgfQk2GRgbgm4GRkJQgMDOD9w7++BZ+yxK5M477zzOO+883vCGN2CM4Sc/+Qm33XYbt956K29729toNBocc8wxXHzxxVxyySW85jWvWel1ewaIhSonS8G+vY1aa2QvyhNCzE4L0AaqGOIC0NaOK8sy6t2COC1sub/URFFIrWToFoJumrC72SaTGe1OTJLDzG6Y6EILqGOLDTxHHhq7zya0RhjQ2nqQbghh/QY7ZkdrqBQ9QazAaK1MUKqSFpqaN1YaKBa1J3cgjDF8//vf5/3vfz9f/vKXEUKseRPT1c4RH2kobVsApLZ9a3s7uRtjkEoTZxKtNVmhZotOgiCgHEI3N7PDTcshNOOCblKQ53YHTSlDuRSQ5opO3OauiSnqndReN7XO8vfttmnJqUP/FBx2lBjcvcsa8IR1QNmad6ddaCUwUoX1ozC2wfpW1uugInjkJjj52GM49ZijOOPkDRy90b9nLIXVfr89qBYCrTU/+MEPuPXWW9myZQv/9V//RafTAeCYY45Z1gV6BpvZpm1jnUekhpIw86I4V0ySFbbIJJfWvaRSCikFAiMCqmHO9oZmU83QTjSdOEcVBWEYUasEKKWZaXXYPTPFL/e0yOLeEFUB3Q5MNm3VpJ/xtjTmlt471vcukwxmc/wY0E5sy0CqwAjYPAZDI1DtCV+h7Ky5kbIVOvvhS/YG8HoGiUWJnNaaH/7wh7P7cv/5n/9Jt9vFGMPmzZt5xjOeMWvtdeaZZ670mj0DhNL9CQKGvv9k2NM4V0GZFzaKC4U1Sla9PjgpNVEA013FWEnSSAShMAxVI5qFApmzq9EmVgHN9gx3TnfZvd1GbpUyNHObmvTR28ER0hc5gRWIIfpR3P5cYAVrVwAzwCibsly3DmolK3ZlAbmEomWFLcxBliGPoTWcUY8zAm8LMHAsSuTWr18/K2obNmzgKU95yqyoPfaxj13pNXoGFK1t4UggIAoDAgy5gnJogHC2ejLNJYVUs+lMjW0P6GaKbqastReKVhEwEkkKLWh3EpIsY6rd5u7JOmhFu6OpN6wNVwRM59atxHNwBEAVm5oMsOIWYIVumn4VYsT8/U2BFUfV+3ktyYJbT1Sy1l6RsJW21TLMZNarspVAtQQmsPt0sYJ2klA5ys4l9AwWixK5iy66iCc/+clceumlnHfeeSs2QNUz+DgHE601mTSEwiBNQDkCqQWBMGTSEGnZF7heg205CsgKQy4VcZIy3coQxlCtBBgREYmC8YZCy5TtMy2aSZcdM13abWi17KRnk9so437W1pvroFDDVpvq3leOFbkIK3CjvcvGsBHyRvZtvTBYgTOsvWjOABVsdWWqIJQQlkGFUIugFUOWgChb4Wt1YLgCQgRUSyU7Ud4zUCxK5G655ZaVXofnMMENLS16+2q5htGqKz6xAigwtBJNXtj9t3IUUIkEdgvNkKYpu6cSDJJqpYI2NvnVShRK5tw92WS8UafekSQtSBOY6IUSO/EDTB8ONeyem8KKXKl3ucR+eGhhI7q097uL2srMb8VYa+LmcCnXdZut0BUaahWohNDW9g1RVIEAgrK9QqFAy4I4y4mE/+g0aCxK5LZv335Qrv07d+7khBNOWPL1PIOJS09irMAJIRgqCxAB2rhiEyuCWts3i0optO4lYTA7LqeVGoYqgkyWiJC0OhJZZHQLSSvusHuqSaMN7bbtb5pKbFO3H4Hz8HEpSFdUMoMVtRwrEBX6+3ApVuAM+4rc3r+vFQx2aOpwCNVRQMJQNSQuNGVpyCPbAD7UOzmKoFSGoFxBIejksGlVH4FnqSwq9j799NN5/etfz7333vuQ5xZFwRe/+EXOO+88PvGJTzzsBXrWPq4FIC3s/psmYKgSUY4ChHDuJGa2sds1hAfCtgMYYyiKgnZS0E0LSsKmMkuioN7Nmem0+PGuSe6bmOKuiSZTDZiYhnoTtiZwD17glsKBNhsmsGnInF6BBpBgxWyEvkjEvZ8b9Pfe5n5iPmjn9xVGYNOQIoKhco3RWkSiBWFgiEIoDdkCFFG1j29sGNbXoBoElAI77cIzWCzqb/HrX/86b3zjG/nwhz/MBRdcwKWXXsr555/P0UcfTbVaZWZmhvvuu4/bb7+df/u3f6Pb7fL617/eTwc4QtCGeRWUtRIgAoSw6Ukb3NlG76IoUL0p3wDtzFASknZmrD1XN6PZzslkQSsuaMYxO5otZqYz6gm0p2zRg2vo9iyNMWyUNoStOK2yb3q3g32Dd0JX6p1fAYbpR26693O1d9xFgM2VfhAPAwNM5LC+C6OjOVEQsq4SEUVDbKoU7IozhNYkifWsbHWhNGKNCyJCquW1Kt+e/bGoV+zCCy/khz/8IV/72te48cYb+d//+3+TJMk8t3iARz3qUVxxxRW85jWv4bjjjlu5VXvWBC49aYwhDARRGCCw9lohGhB2Dpw2xJm0LibSEIYBRZHTzgyBkbSUrZ6c7BTEccx0JyaTOfV2h3qS0GrZN5tO0w4u9RWTS8M1brtxnxH9VOJCbwBR7zobsVFchhXCvPelerfneg6bvZ/dvh30qy33l7ZczWbyDtBJrO9pNdIEpTI1o+gaCVITBrBhA6QpmAhmEijVFJnRsxMzPIPDkj6WPOtZz+JZz3oWRVFwxx13sGvXLpIkYfPmzZx55pl+/+0Io1C2iRugVrb7anmvWzZXzA49LZRGKYUygkhoikIx2cqIhKabGUqBop1okixmqhMz3W6TFHajf7IO9RloZFbg/AicxTNrNNz7faR3mcAKT5l+FOf62kaw0V6v5oIS/ZSlwQrECPOb6gv6wuiu18DuhSzkfRSwum4pCVAJQBawMzasI8bUhhBRFRVJTGAwBqo122JgDAhjCHppec9gcVCxd6lU4oILLljutXgGBOdgIpjjR4lNTYbCRnKlwMwWkgQCRBASaI3UAe00Jy8k092cwCiSQpIWOfW4w0w3JclzWi1Fow07ZmAS+6bp2T/OTnFu6tH1sAmssJSx4hRiRaZnCEMJOAYrYK6a0qUop7CCGGLFAewHjah3WQkrZC7iq/TWMtq7bCGRW22ZGMO2Dbg0eyPWVHSHaiVCJgZV2GrLUgjrahHlMKJSHaJWrvj2qQHEJ5g9S8L1vwVYo+RqKZj1orTiZx1JMglaK7uXEUAoDJ00t/Ph4pwszYnThDhLmGh16aQx7VQhJXTbMNWAyQIWnjLocQzRFxW3h9bAio3GtgQYrMhlvcsSYANW1MrY1KLC7re5lGPWOz7Ru05lgfs29O29XPrRZfMUCwvcWkEAOoUss3tv3RCiXutAGECc9UTeSI4dgSgIiEJBOfJ9coOGFznPorHjbQwYTbcws+0BYSCQSts5cUYxkyhbURkIwkAQZ5JukjHdzlFKgy6YbHeZas6wrd62b7wxZLmd8daIbb+bT00+NDH9vTaBTSWWsaKU0I/iNP1I6+je5TWsMI1ghbJNv5E7xLYP9Oax71Oc4gTM7bcVvdsQvetEWNEsWFutBC6izVPrZBIpu76oANmSiMCKXiWwo3ZGA0g1rAsiBPuai3vWPl7kPIvGek4aEmntjww2SlPatgcobcgK+90NOpVK00kl082ULJNIJclVwWSzzp272+QZaAndLrS7dt/NtwMszGascM11GClhRaXZ+9n97lKFIf3obAwrQsNY0SphG7/dHp3u/RzTLzKZy95+lHsXlURYEY16X7p3W3vbfq02Amh2rMNJEkApAlmFoRCGK4J6y6ACKGLIShAWklBoUqnW/IQVz754kfM8JLMDT7Uik71eIRFQCgVKKVqJJM0llVJI0OuJK7QiV5qZTk6W5STdhDgv6OYx4402WydTOl0rcO0OTEg7JcBj2VtASvT3z8D+47pUZUa/4dVdR835HtHfsxulH9kVveO13jkukguw4uh2n6LeuevppyRdc3iEFdGje+twkeMQsIP+Pt5aQWM/EGyKrJVXpQJCQLUC1VrIUKVKprq0cyjXoFwGXQpJC00kICl8eeWg4UXOc0DcwFOMJs41AoMGVJ4jNaRZTlLYSQK1ckitUqIcBQQCtk2lpElCnBU0u23un5pivK7R0k4J6LRhUnlxW4gy84s9nH+k60sz2IjM9a6lvZ8LrOi4KI7eue66bWAcK3aj2HEzmelbdFV713U9cNCvhMzp7/05oXTiO937LrFFLNOsPYFzKKAcQaUEUdlWWRoFQ6WQkoCRsiArDErY6kpVKKQsyJT2tl4DyJJF7ktf+hLPfe5zfW76CMFVUbZTOykA7ESBtLDiF2d2L073WgRKoSTJDFPNmHanSzPuMtXu8OB0i5lGby+kAy0N21hb+zWryTDz05CK+WX6Glvp6Bqx4975CVaYXHFIBRtxJfT36+ZODnD3UcEKY9vYAhMnZG6PrqCfbnTkvd9H6Ivb5Jz7cIwv+dEfWjR2wgASsgBUbnviuhpOHgqQukoYJVDY5zss2WZwIQTmgH4xnrXIkkXuBS94ASeccAKvec1rePWrX83RRx+9EuvyrAGMMbOTuqXqN8JKKUnTnEwaRisCRUiSQyQ0402JzFPG610acUy902ZnPWZ80opbQ3mfyb0pYUWpTL/nLKG/xzWCfc4E/YKREn1nkXW982oClIEotH2K6+inFetYgQt613dFIk36+3GuJQD6LQLDzBfbvLeW4d7PLkJ0UeMgTAvXQJFBedj6UobCDk4tspxtUhIEmm5sI7xKz3pO1Ox5vhl88FhyOHbrrbfyxCc+keuuu46TTz6ZP/qjP+L2229fibV5VhFjbDFJoex+XDkK7BgdpWinisKEVCtlRFShXIqoRjDVLmi12jww2WDr5CS/3jXOXdtjJichi6Gl4D68wM1liJ4rPv10YIl+KtKlBV2vmtuXGwEewfxikgA78SEK7LmumtKlHnNsOtHdB71zyr3bO6Z3O2CjRiesY73L5xo3qznrc71yNfpit5YZAWrDdoROtWQ/FITaeqF22pqZjh23IzvQaFlBxIA2ttDKM1gsOZK76KKLuOiii9i9ezcf/ehH+fu//3tuuukmzjvvPP7H//gfvOhFL6JSWairxjMozAqcVChtZgtOjDEEQUApNGitKPKCNLWVlPVWwnizzXTcptWOmejmTE5Bq2mjtxa2JN0zn3XYqMpNLm/R94d0s91SrBg6EdlAX7xC+gNKTQDNtO9Q4opCXGoz691Gk/6+3ljv9o/GVhtKDXt0P6oTvTW5mkInpt3emkr0Lb3qDIbIlYHRIahWIYggCEELOHoYkl7jn9QQFyAktFMwRqK848lActCfS4477jje+c53sm3bNj772c8SBAGvetWrOPHEE7nyyivZvXv3cq7TcwhwXpSFVLN9b8YYupmiEUu01oSBoFqOGK6ExAXMdArGZ7psnWrw4NQ09+xssHUypz4FO2fgTgUP4gVuf6RYsRrFCs5m7Jtwlb4ll8SKjSsWcaIC/UGmIb03a/p7Z22s+Lloq4QVLBeJQT86jIG2hHFtBdJ5VRbMb+ru0jdwdmtSc47P/Xmt4h6/LiBJIe+CSqHegOOHIsbKtq2gmUEnhaQNM90MKfNZGzvP4PCwg+8HHniA733ve9xzzz2EYchjH/tYPvShD/HoRz+af/3Xf12ONXoeJm5atzPS3t85blJ3Ny1Ic0me57QT+7Oz6zKqYKadsmu6Q7fTpd5sM96sM92qs3s6Zvcu2L4DfjBjU5N+gOl8FvqHk9ioawP9CKpCv5JyrpiU6e/dPYAVHFf8IQQMBTASWMEc6V2+rnf7Lk0Z9K5Xx0aQ01jT6zr9PjwnjAv9xTjXFJcOHWNhRxT3OEoLHFtNpoF2E3QAI0P2e70Nk3XY05J0Ekhs3QllAcEQjFTLRKUqtcpaezSeh+KgRM4Yw7/8y7/wjGc8gzPPPJObbrqJ173udTz44IN861vf4sEHH+SSSy7xo3ZWGSduqrdbvtCm+dxzjLHTAtpJQTvOmGwX5IVE9N7qIqHZ08wZn47ZPl7n3j2T3Dexm/t2TbB9OmH3bjvf7ed4t5LF4l4SiRUl50bSpT8J4CRsmjHAiksb6wjjUoSGXtO1gKgC1dCK2+ic67heuQ3AUfQFSPXu16UeXeQ4V8ic4NXmrNv1wwXsfz6d6q1trRWjJNiJ4EVqp4OjwEgYj2G8bvfhlLLPQRDA5hpUoojhCEYrvrpy0Fjyntx73/tebrzxRrZu3cq5557L3/3d3/HiF7943j7c0UcfzZ/92Z9x6aWXLutiPUtDm76IhQGEwb7/oHMrJrtpQTfJrdjlGqMVHR2xripQRjDV7DJZT5huNdnVajHe7tLugMpgzyTcZXzk9lC4Rmuw/3wB/bSgm8CdYYWs2jtnPfaN2e2FlXuXgd1fq2OnVbdTWDcMuwt7ziRWZPb0vp9AL/ISEPZaB1ykFWFFzEWKbnAq9FsEXCrSnbMR+3rPHbEzl7m9dmsOaYWsm4Ps5YOPLoPSUAogjntTFBQUAsaGaoRRmVYGo6OrvXjPUliyyL397W/n8ssv51Of+hQXX3zxfs879dRTufrqqx/W4jwPj0DYT6xhIGb7fOaitabozYPrppKksBvr0gSUA01qQkbL0M0UcZqwa6qDkikP1OtMNFJmpqzn5M7CRhaePs5Dcu6+lhssOoYVmJx+8/UwVkycsJSwkdg6QAVQ1VZkqth9taR3H5uwoug8Ind1rUAJrIDl9IVmZ+/8krECtJF+L11Kv+9uPf1+OFdh6faxBP2CF1fU4iK/hVhrURz0zKQFpBkoYYtM1o2A1jA8ZB/nhvUw3ug9hx3IC0k9SSjyIewr4xkUlixy9957L6eccspDnnfCCSdwzTXXHNSiPMuDEIJSOGdqd686TGk7/iaXttAkLyRxJlFKUSjDSMXQTgWBkeyeSukkCZOthCRts7XdpTFjSFKYbsL9rC1fwrWCK/OvYMVlCPuGvwEraG4m2zRWyFxaz4nFRvoOJZG2QtIzyZ/dqwvpD0B1o21cNabrX9t7P2KavljONXd2I3ic0A71LnMz5qAvaM4r0/XpDVpVfQUb8cYdKCR0Uxux1YZBlGxvXF6yLRWEdiLBVLfDprFhRDAI9aOeuSxZ5BYjcJ7VxXlNBsIKXSj69lxSWaHLpZ5NUbYSaSM3FbCuKmh0czqJJEtTxtsJM902exoNGomhNQmTbZsCq6/2A13DuH+sECtYc93+XRpPYiMrV+rfwUZpbtios+YqsMKo6O+duQithI0MncNJh75Yre9dfkzvfBfhNeascxP9toQG/flzpve7oF8BmtE3gJ7LoNUbZkDe+2RWSDsUtRkDxu7NDY/Y6sqhCEzNjt4plSoQlBmqeCfEQWPJr9grX/nK/R4LgoD169dzwQUX8NznPpdyufywFuc5ONw+mzYQ9IaZzvb3GNsikBe2B85acQmaXYWgYHdX0UkLtMrZ04rpxA22NTKyGDox7G7bqj7vxb4wTgSm6AtShBWiLraVYravjb4DiaI/x63W++7c+12/nGv8HqFfmJL2ruemcrtCkIy+OLmo0PXWzdB//VyztxNSN16nYL6Rszvf7R3Gc64/d98tYu3/bdQAKaBWg7xX2qpzm7Zsx9YwvBKCLNnHGkRQpAkbK4ZKyUdyg8aSRW7Lli00m00ajQZRFLFp0yamp6eRUrJ+/XqMMfzVX/0Vj3nMY7j11ls55phjVmLdnv1gjJn9EkKgTH8UDtj9uUopRBuIjKESGpqEhEJRb6U00hSZddnZzSFPmOxK8hT27IFxPylgljL2zXIUG/F0epc7cXBz1aawFZOukKRMvw9N0p/ePbcXzqUmq/QrIDP61l8uteiqH0tY0XHnuoGlrd5lbi3Qjw6dyDp/ylH60Zrb42POdZzgCfptDnOHpM49d63Twva/DdXs457p2iKUQENYtenJbmEfp6nYYaomDGnmgjSXjK3y+j1LY8np9C996UuMjo7y+c9/niRJ2L17N0mScNNNNzE6Osq///u/85//+Z/U63WuuuqqlViz5wBow6yRrBBidh/O+VBKpdFaI4wiLyTtOKMdZ3S6KRPtNjPtFlubXfIsYeeMZHIcfrEdfuoFbh7OZmsMW+LvShEi7B6bc/SP6VtnuSjP+VGO0p/l5gTHpTJd+b9LawqsUKb09/rc97kjb9b37ovebTlxcy0D9NbsWgmy3hob9IXXFZbMLVNyqVG3jrVYULIUBIC28+Qo9Z77km0pSLGPt4u19GrNwNbxhJlWg1bsLcUHjSVHcm9605t485vfzB/8wR/MXhaGIS984QsZHx/nTW96E//5n//JW9/6Vm644YZlXaxn/7h9OIH9jtHkxfwmcNsvZ8fitBJJJ04Zr8fkecZMp83uZoukyMm7hlYM28btpADf87YvI1ixiLD9aRuNFaUCKzLH0Y9yNH27Lpfuc60EHfqRmaHfuD13UrcTQEl/zI0ToQgrPhNY4Wph99lcxBVj9+KcwLbpz6KbO917qHe5s1svsJGi6t23M2yeOylhMbgIcK0xBehe5Yz7YLEuAhXBhtzaexVY42ap7B7dTK7Ismz/N+pZkyw5kvvBD37AWWedteCxs88+m5/85CcAnHfeeUxNTS14nmd5mOtk4nriellJtIE4txMEnO8kQFYomt2MZidhz3SDyfoMD05PM95sMNnM2LbHsGMc7huHX+IFbm9qWCEaw4qZAHJjoyQXHbny+gi7H+Yisgz7hupssdwMODceZ+4/41wB1L3jo1gRchFfTn+iQK13e6O9dW2in/Kc2+zt5s8Fvdvu0m9bcNWSLo3q7kP2znUtBHPX+FCsRYED+7w06Kdvq0Cme/t1oZ3okGFf21JkJxCsj0K08IUng8aSX7GxsTG2bNnCU57ylH2Ofetb32JszGaskyRh1HdNriiuwMQ5mihtEBjSwlZPCqPJFVQiKKQmzSX1dkKzW6CKnMlGkwdmmiTdAgk0Zmxv0Ax+UsBcaliRaNF3HllP332/RX9gqHPqd1WKLiJzqcsyVmicQLR7v7v9M1eE0undhmsFcJFX0LusSb/y0aU8ne1Xl76IOhOqkd7vrqDF9cZBvyrTFZw4x5W5MYuLSku96w7RF8VBxKWNE/o9gGMBVEZgYwh76v3UbQREEcSFYjgaBHdOz1yWLHIvfvGLee9734sxhhe84AUcc8wxjI+P84UvfIEPfOADvP71rwfgRz/6EWeeeeayL9hjccUle1+WK4PWtuhEG0EoNHGmSNKMyY4i6cTEecF427YF7J6Utik2hz0duHeVHs9aZYR+etAJENh/nIJ+yb8TJNfc7SobA/pOJm4YqYvAnCg2er+7tJlLQVbp97TROycQkBp7m53e/bhIEfr7SUP058ENAWEZRG6jUE3/+k7IuvSF10WKexP2LneTyAehyGR/uNfRGVGXgEoM1Qqksl/Ysx7bMB7noIwiVj6SGzSW/Ipdf/317N69m+uvv56//Mu/nL3cGMOLXvQi3vOe9wDwxCc+kWc84xnLt1LPPOZGcQLbA6e1nk1bRoEgKRTNuCDJFXGS0o0L9sxMsL0e04oT6k2oT8NkYfveklV9RGuLEayobKCXtsI+Py4tWQ5BGFuR56Ip1TvHzYcrhb0WgWF7vYlW/03VCZOLhhL6hR2uwtE1YZexxstoyEy/2jKlb7FF7/6HscIb9S6vCWgaKOV9+y3XAuAmGtD7Ptx7zDH2zd1Fg6p3WUzf3HnQyy+m6X8YcFMcBLCjbvfmmvR9PysFFDk0uglC+T25QWPJIlcul7npppt4xzvewW233cb09DSbNm3ioosumrdX99SnPnVZF+rp46I4N627KAq6uSFAU6uUCATEmaTZzam3E+I4pxXHZEqybbrDrkbGzLQdDLlV9WeZHekE9IeVOscSl+YrYd/4neBlyoqIK8cv6Bdp1LFicbSGoVEYrVnjX9eQHWGFQmMbtRX9SG6UfurS9b2FQFf3vS7dP60zVC6wouqqMNf3HocGpLH32aY/UXyuCfNcNH3hdEUtbiKBi/Jci8KgU9CPzt3QWNd60ZF9sa8B64ZABFCrlMj1oPm7eJYkckmScNppp3HjjTdy2WWX+XTkKjFrqqxsS0AzlpRCgez1xEkpmekUxElGs50w1e4w1Wow2UmoT2vu3WOF7UgUt5B+rxrYwhBBX7BM72c3j20H/flurioR7Cd9J3BufE3A/CgqrEFtCKa71gjY9bLNve46+k4mrjLTVSRKYF0vPTk7hTuyhsLDWMEdo2+e7PbkcmwKtE7fKUWzcGVklf4+HViRda4pAfbN39CvtDxcqGCf+6Oxj7NcAq3A6P6HhQj7uOsxnDwKqRIUmc93DBpLErlarUaSJAwPD6/UejyLwBaXKLJCITWMVAJyHTBWFiil2DUT02x2aGcZjXaHX++eYOcEtKftm/B2jtxpAS5C20w/ZeWKLSrM32dyAgZWDFyaL8UKVW3O5a6isoZ9jkvYUS5pFYq4n6J0hSHOfcQVobjCFfcW6hrKczNfwKIIRjXMaBsFumISV7HZoe87ube7yUKsx4p5Tl9Y3e3sPTD1cMJ9sHBp6HVFbwK7gMLY59qloQFaBZwSCTo+WzlwLDn2fspTnsI3vvGNlVjLAbn11ltnnfT3/rr99tsP+XoONS496cyU01wilUZgiMKA4bKgKAru39Ni92STrVMz/GLbLr539wT3PggPTsMdwD0cuQLnLLSc4//x2E95I/RFxu1bucrIGrYtoIIVJ1dt5yobE+Y7guTYCGEUqFah2YSG6ldRDmGFpda7nYz+tO6A/t5X3LstJ8T07quRwq5entHtjTWxt+9+r9N3SHkokUp6X64vzt3GYq47yEjsPnSD+UVCqemLe5X+ZIaagFgHVILDKZ49MljyntxVV13F7/3e71GtVnne857Hcccdt88Il40bNy7bAvfmPe95zz5z6s4+++wVu7+1gjZ23EcjlhitCILAGjBjqHdylBE0210e3FNn+8w0O6faTE7bvSBvpmxxxsUubdjBio2b1eYaqN1YnAhbTl4tQ9IbsLmNfsWk2x9z0Y+iv28WhtCI+w3c1d79OSd/l+J0bigu9ajoOW3QnzIQ0xeiuc3V7rHMnQKRzjm2EG7atxOwvdsAur37rDC/heBwpUF/grozxi7Tj4YDeu0fGawrG8LyQjPQPWuZJYvc4x73OACuvfZarrvuugXPUWrlPu2cfvrpPOEJT1ix219ruIZvKSX1boFSCm2gGtiJAoUyvebunD0zdXbMTLNtKqY+Dfe3vBXX+t5Xh37/mKLv0u8Mit2+lphzngH2KKgm9k3PzXBzKUUncC6Sc6Jg6O3v9O7XvXmCjdqcSDmhE1ixDQM7tLPorcE1cM8tbHG3M1fo9jZJhgPvnzkD6P1VSLrHdLjjBMwNrnWR9Sj9Yp4m9kPO2BhUoyFGh7zIDRpLFrmrr756n8jNszIYY2bnvXUyTSQ0EkG1JAgEJFLT7iZMTLXY1WzTjDvsmIyZGIf7Ehhf7QewyrhqSScIrgHYNUM7Q2M3/HM9/UZu11ytsBO2XXrTOZfk9Is6nO3WCH1XkagERWHPdWIVM38Ej2sOn/Wt7DluzD1eZb7ps8NN9YZ+Kfxi5vq5VNzeongk4ipM3ZgjJ3oiglD2hS+qAAaGyzBW831yg8aSX7Frr712BZaxeK644gpe+MIXMjQ0xBOf+ETe8Y538KQnPWlV17RSaGOnd7dTBVoSS0M5CkBLdjYyOp2Ydlow3WyyrdVmZirhwa1wF0fuINON9PeZNHZPq4Z9U99MX9BcOsr1nIXYT+3D9KcEBNg0r4uK6vT39SboF6ZI+ilG1x4Q9RyMXfrRtQS48nzmXM/t/82N4AT9vUFX3ekiOodbv9vLg8WNuvECZ3GWZc6KzX3gCbT9u3HFN+syO1culoZ2MujW1EceD+tjSZIkzMzMcMwxxxBFK/sJZ926dbz+9a/nkksuYdOmTdx77728//3v55JLLuErX/nKARvPsyybZ6zaarVWdK0PF1dkUkhFnEmEUaTSNnt3EslUMyWOU3Y1mjS6HXbW2zSmYPsM3MfgN+oeLBXsG1aCbY9wlZAp/QGiZewb19zpABH9/bQ2/UpLsKI52bssYf5A0iH61Y1uD801hRf097tcWf/c8TxuxI2LLGOswDXpl/U7QZ27j+ZG3DicoFXoz5U7ElKNy4VzmXHjgzKgo/sfbELsYNXCQJrlNGP/7A4awuztDbUItmzZwlVXXcUPfvADAL7//e9z/vnnc8UVV/CUpzyF5z3vecu+0IVoNBo89rGPZePGjfz0pz/d73n72z9sNpuzXptrCak0cSbpJDntOENqCIyknSq6cYGSOdsmxvnFZBOVQLsBd7Zg12ovfJV5BL35YFixcg3QButS4kSgRd+WyvlQuujKFWy4tKTrFSvT93d0rQASW7jgUosB/f09J3wuNeqqN4ex5slzy/tHe+dNsa8h9hB2byjrnb8/3MRxOHI/5BwsY/T75WL6vp4p9oPHqcDmKpx2ZpVnn3UyFzz29FVb6yDSarVYt27dqr3fLrmF4Fvf+hZPf/rTSdOUN7/5zWjd903YvHkzn/rUp5ZzfQdk/fr1PPvZz+ZnP/sZSbL/Js0rr7ySZrM5+7V9+9otxzDGzM55m2x0magn1NsJ4zMxuyab7JyaZne9zt0zbdIm3LsNfuEFjg30y/wjbGryWGwk5qKmeu/73E917pjbv3PRkvOWdNO8Nf2qu41YoXL/PPGc2+pgBc0Vg7gxNm36ouo8IF2ZvxNUZ348F2ep1djr8r3/cZ0nphe4xTH3ee4Au7GvkUtzj2CzAsfS8yhNodtNiQvveDJoHFThyW//9m/zz//8z0gped/73jd77Nxzz+WTn/zksi7woXCB6IGKYSqVCpXKYFRFSaXppJJ2UtBNJbIoyJXBGEkr6bK93aHd7FKfgp/N2KhkqTO+Bh1nWOwqDl0RSUw/lTeC/XS+BytYDewfe6N33DmfODNlJzTORNn1xBX0e8hcdaUTzDr7lvWvp59mdEbICfOLWVya1LmnTNOv8nOuK+72nI/l3uxtyeW7t5bOMPZ1cGnlBv1mfUHf0q2JfY3WTUKeru2tDs++LFnkfvKTn/DFL34R2FdYjjrqKCYmDt2Qlnq9zi233MJ5551HtVp96CusUVybgFKKVpxTb6e04xyjbbuAlhmtPGOy1WB6JmPXdniwZ6p8pCGwn65z+uX4TozS3ndXIu/MlN0oHNejBv2ikb2nXzurs7kTB8BWqg5jP+2vo5/mdCbGbpp2l35P3NxJ3+6+3JicGv2oy0UPbrLBQ+0flDl8PCRXC2dmDfOHwbq/E/f6ONFrAt0GNDNftjNoLFnkoiiiKBauMJqYmFixGXIvfvGLOfnkk/nN3/xNNm/ezD333MMHPvABxsfHD2mKdLlxbQJZXjDTyWm0Y9qJQhiJUhAnXbY1Wkw1G+yZMmzfY11LjoRG3YU4hr64DdNPJU7TL8pIeue5qsb1zO9jc8UmruhDY9/cXCJqf2k/5yvpSssFNhpzRSEF/SZq5xfpRM7lEVwJv2tAD+ZcZ7GvqU9JLg+uhcC9m63vfdfATmxK2n2IAUgMmNx7Vw4aSxa5Cy64gM985jM85znP2efYzTffzBOf+MRlWdjenHPOOXzhC1/gxhtvpNPpsHHjRp70pCfxmc98hgsuuGBF7nOlMcbYyd2FYqaVMNkuSLqZbSKOU1KZsm2mztZdXbbuhN36yO59q2Cj11HsG31K36nCNfKCfZMapz87zfWileZ8gRVL5z5fpT98dH/UsaKm6Vc8ztAXvTH6KVOXTnSf+52LinMv8awN3OvkbNrGsB+ONvQud+OTACoBiPLgZoyOVJYscm9729t4xjOewXOf+1xe+tKXIoTge9/7Hp/4xCe4+eab2bJly0qsk7e97W287W1vW5HbXg2UUnRSSTfJiDPJZCNGSkWWZ6RFwVSnw4MTU2zdCdua8MBqL3gN4ESsTX9P7Sj6PW1z07du5M1cSvQbuF07gTMydhMAHgpXZOI+3bu5cG5/z6US90axb+WkZ3VJmO9SE9HfZ21ghW6u7dnoBhirlPAMFksWuac+9al8+tOf5g1veAP//M//DNgG7fXr1/OpT33qsG3MXi7c/ls3lTQ6KePNDJnnpJmkE2dkKmP75DRbJ2Pu3WZ7tA7dLufax0VeLgXopgrMfY72Lt4AKz7OUbXJwtZV+4viXKPwQrj7cO4kbrDqYh1IPKuHm7zg6Mz52UXpjhJQCaFWWcxHIc9a4qA6uF/ykpfwe7/3e/zXf/0X4+PjbN68md/6rd/yI3geAmMMaW6nCHTilIlWjsoz2rHEqIxdzRkeGG8wPgETTTvLbDG1XHs3CB+urKNvoOx6mGr0p1eDFZga+0ZNAhvpbcC+gTljZofbl9ubxTy3Lopzt+f66zxrm6UU7ihAC0hzX+4zaBy0TUmtVuMpT3nKcq7lsMUYgzbYYabtlOl2RiEVkdA0YkmSd9k+XeeeHW127IQdeuHozVV8zf03q9DvyTqcvRiGsILveszmRlCu0drZYXWZ/xw5RxNn0+X26Oay93PnbstVQx6IhSLAvUv8PYONBqYnoR37pPOgcVAiZ4zhBz/4AVu3bl2wCfulL33pw17Y4YKL3tLc9r51kpxuWiCMJssy9jTrbK/P8ODWnKkG3KXn9705i6kN2HTKMP0yd+eHeCT827m9LydGTtjduBxXeOKMkOeyUFryoSItN3bHF4x7HOUKdHNvTj9oLFnk7r77bi6//HLuueceFnIEE0J4kWN+9FbvZDRiSTnQaANhIJBZzoNTdX69fQ/33WdHuowzvwwd7BvtcO/yDdg38GOw0UWZw7eVwHlEuoZpJ1yC/mQBF7V19rque16cnZZzEnFl/NM8dKTlUqH07u9Ia7g/kjjQnqujCowOwVFjfk9u0FiyyF1xxRWkacoXvvAFzjnnnIFxEjmUuNYApftRXJ7nFBgiocnihLt2j/PLrTPcvx126n50Nnd45wb6zvcwvxzeOWkcriJXxlpzRdjUrYvGXJ9aCft8zP1A4MSshn1+cuxzldCfyyZZeP7aQrgchd9pPrxxfxv74xRgvYCjjw9YN7r2vG49B2bJIvf973+fv/u7v+P5z3/+SqznsKCQtj2gKAoKZZ1MgiAAo9k91eJnu6e55546909Zz7wWfWuoUfpv4Bn9BlX3jxjSF7fDqd/KzVxzrv5uRI1rmJ47E07R3wer9q7nJnK76K6K7XlK5lw293aWgo/iDm/Shz6F1ECea3ThW/EHjSWL3MjIyJp07l8LuPaAJFe2yKQrGS4LEAFaJmwfn+b2e7exayfc1bYRinO5j+jbOs1go5EN9EenOKuqafoO+ocLzn0kx4p4xL4l3PvDNYS7SQBznfjT3m05kfLFIJ6l4Br+oZf+DgTNbG8Lbc9aZ8mVzq94xSu46aabVmItA49LT2aFIs0lpcDQSXIazRZ375rhh/dv454H4WftvhlsCRu9baJfql7DmgtHWAF0RrJg958OJ4FzFYwdrBhl9MV+sSj6XpGOuaNyPJ6HYu+UdIA1GliP/X+zPieCzSOHdFmeZWDJkdzZZ5/N5z//eS6//HIuu+wyNm3atM85h2qe3FpCKUU3lXTTAoymmym0zNk9HbNjepoHJyf5+Z22PcDNrAqxIuaaiF2pu7vMVQy2sNcZdP9zNzx0Lk6M3Cfm5TYePhIqTz0Pn719TNzfahO7NzxahY3VCmHJ1yAMGksWuRe/+MUAPPDAA9xyyy37HBdCoNSR1TBpjCHONUlW0OxmpIWmEii2T3bYOjHBz7Y22LULJkw/heaalt24GFdssg67lyTo2ws5q6FBp8rCPWUrXaa/mOo5z5GLmxoxF7cho+n1pmYQy4IkO5zyKEcGSxa5lfKmHFS01qSFRsmCViLJpUYrya6ZLg9M7OGX21o8uNPuL81NR7o3Xtd07CI4Rd/Bo5jz/XBgtSJRL3CeA7F34cm63ndnDTcMEEA3k2jlRW7QWLLIXXzxxSuxjoGlUKY3JqdAy5wkyZhuttk202TbdIutO6zAuRTlEPZJd2a+HWze30V1IVYM6swf8+HxeFYWNz6pQt+weXPv92oFqlEAwheeDBoHbeu1EEVRsH37dh71qEct582uWYwxFEXBZCsjSTM6cc6eeoN7JqfYtj3m/j023ZhixW0dfbf7ALtfVKG/b+RcPSY5fKI3j2dQCOm35hj6RgxDAZQNlMolSqH3wBk0FlV8FoYh3//+92d/N8bw9Kc/nXvvvXfeeT/+8Y85/fTTl3eFaxStNd20YLqd0U0yGu2UqUaTu/bs4a4HYu7pCVyCjdTWYaO3Mfr2VMP0Z5gp7Cb3brzAeTyHklHsVkGl9x3s/63CZmCUhk4OhdLkhW9EGTQWFcntbd+lteYb3/gGrdag1/sdPIUyxJmk0c1ptxOmWm22T0+yfTynPmPTkAlWyAL6FlOulyug39wtOHyKSzyeQaKMzbSsw74ZusKwNv1ilPVAS8GJSUEm/Q7voLGs6cojBaWUHZVT79Jqx0x2uuycrnP3roRdO226UWGbuWv0G7rdXpym74o/zeC3Bng8g0qO7VE9BogCENruoQ/RnxivsP/HMy0w0jueDBpe5JaAMQapNM1uxngjZXKmy55mkwfHd3HvLsPEpPWgTOmLm6bvUFLGRnI1rLAleIHzeFabBvZ/8gRs9FalV2zSOz6G3aurliDxgdzA4UVukRhjyKXthZtuJUzOdJhotdg2VefubYbdddhFf78toF9kUsKmJJu97w/2jvvKSY9n9XGN4KUhG9W1U6hKCEsgC+vEEwNZByLh9+QGjUWLnBD7zlFa6LLDETdVIMkKJuodto+3mG632FOvs3MqYWfd7qnF2Px9F/tJcAYrcmX60ZsXNo9nbZFj/3c7KQxXYWTI/lyi74EaY4tPFp4f71nLLFrkLr30UuukP4cLL7xw3mVaH36fclwElxV2ssBEPWFPu8PWiSl2Tuds326NlkNseiPF/nMU2Cc3x6Ysvb2Ux7O2cFsKm7HZl7CnX6Wgt38uYaQCk1nPlCEBdRi+xx3uLErkXvayl630OtYkxhgKZZBS0uqm7Bivc//4BA+MTzLVhokdsB0rYK6vxlVIuqndBb5q0uNZiwhs+8BRZdASqIAqgBIEFYhCG9WdkMOUgdExIPCW34PGokTuk5/85EqvY80hpaSdKowqmOnkTDZTHhivc9fkNDt3Q2vGRnCucVTTd8F3LvqH07w3j+dwYiO2+jkCNm6AZgeSFOoSxgqoVmFkA5QDGBkB3YENG2Hd0NBD3LJnreELTxZAa00zUSRpxngzo9PuMtls8atdu9ixC7Y2bLXVDDaNsXcCQ3J4jcPxeA43RrBtAgHQ6MD6UTABdNowqWEshqEQ2NDbpxuFYzdW2bTOi9yg4WPvBXAmyzOdnLjbZcfUDHeOT7B7NzzQgG3AHvpOJR6PZ7CIsR9Uc6DdBSNgQ29ooxv3NJ6A7EKsYbgGx42NUS6X93ubnrWJF7m90FrTiVP21GNazRa7p+o8MDXFtp0Z99VtitK713k8g02MLRLr0ttPj0CUYTSw4qeAsoSZDsgMOgUMlSIq5b0nz3nWOj5duRdZoajHikYnZ9dMl/vqDR7cWfDglG30zlZ7gR6P52EjsCK3GVswFneh1YQ9uj9LjiqUBWQZZDHkMme05kVu0PAiNwdnupylCXsm9/CLXeOM7zbcNw07WXjgp8fjGTwqWF9ZBawrQyYhV/0BxhlgcgiHrdWXNlBvdo+Y3uDDiUWlK++4444VXsbqY4whLTRplrN7OuGBeoeZuuHuaXgAL3Aez+FEHWvn5bxkK8JGdMdgDR3GAEowuglGahCUIVOKJPe78IPGokTu/PPP5zd/8zf56Ec/SrPZXOk1HXJcP1yaxNy9o8m9u7Zx1z0dfrzTWnB5PJ7DC4MVuh1AnMPQMBx/Ahx/DGw8CjbWoFaCSMKGUdsvN1SrUhS+63XQWJTIXXnllUxMTHDFFVdw3HHH8ZKXvIQtW7as9NoOCbMN30XO3Xtitu7Zxffv6fDrhp3t5vF4Dl9chWVjGghASet4MroRjj4a1m8KGBuG0eGQDbUqyvh05aCxKJF797vfzdatW/nqV7/KZZddxpe+9CWe+tSn8qhHPYq/+Iu/YPv27Su9zhVDGzBasXMmYfee3dx+3wy/nLJmyx6P5/CkTN+FchtQz6AxCb+Yhpk6yNTu0U03NLmBUBraShMY3wE7aCy6hUAIwTOf+Uy+8IUvsHv3bj70oQ+xceNGrr76ah71qEfxzGc+k5tvvnngwnmjFTOdnF0TM3x/2y6+t9O2CXg8nsOXMeBkrPOJxm5L/Dy18x3vzaHRtBWXaQyNlq3ErIYRBb66ctA4qD659evX87rXvY4f/vCH3HHHHVxxxRX8+Mc/5g/+4A844YQTlnuNK4Yxhm6mmG60+dnWbfz/fmU3oz0ez+GNG2IMNmUZY2fJ5di9unEJe6agWYfCwDCaoUqZ0bLvkh00HnYz+DnnnMNLXvISLr/8cgCmp6cf9qIOFYVU1FtdfnT3A3zl9pgdq70gj8dzSCiwEVyATV2CnUrgfm71jhNBtQwjw1WGq0MU2u/JDRoH3Sc3NTXFZz7zGT75yU/yy1/+kjAMueyyy3jVq161nOtbUdJccu+2Gf7lthnuXO3FeDyeQ8oE1vEkxPbMhViRi3uXK2AktW4ouQRd5GTSR3KDxpJETmvN1772NT7xiU/wla98hTzPefSjH83111/Py172Mo455piVWueKMDk1w2f/4z5+5P9uPZ4jinXYrYkRbGP4JvpzIWtAE5vSbAGlEI4arZGLgNFquDoL9hw0ixK5u+++m0984hN85jOfYc+ePdRqNV70ohfxqle9iic96UkrvcYV4/Nbfs6tXe8q7vEcaQhspBZiRW5dCWTRm0rQO0dh50UeuxPWj3Z51FGbGapVV2W9noNnUSJ3xhlnAPD4xz+ea6+9lhe96EWMjIys6MIOBf/wgB2O6PF4jix29r5XsCN3KsPwCCAsQ30aZpTdk0uBn8cwOpHz3x8lqJR8JDdoLErk3vCGN/CqV72K3/iN31jp9Xg8Hs8hI8HOhRxu2CbwShlaav6MyAawZwYa7RZh6EVu0FiUyP3VX/0VSZLw+c9/nq1bt3LUUUdx+eWXc9RRR630+jwej2fFKLAiNwP90G0BRgTEEgJfXDlwLKqFYNeuXTz2sY/lJS95CVdddRWvfvWrefSjH83tt9++0uubR6fT4Q1veAPHH3881WqV8847j3/4h384pGvweDxHHnd1oSRn0L5IbeBYlMi9/e1vZ+fOnbz97W/nK1/5Ch/84Acpl8v86Z/+6Uqvbx7Pe97z+PSnP80111zD1772NS644AJe9KIXcdNNNx3SdXg8niOLSWB3PoTW+iHP9awthDHmIT+bnHTSSfzJn/wJ73jHO2Yv+8pXvsLll1/Orl27DknrwFe/+lV+53d+h5tuuokXvehFs5c//elP55e//CXbtm1bdL681Wqxbt06TnrDPxJUfHWlx+OxrAM2YO292nsde856eNsrHs9xx/htmqXg3m+bzSZjY2MPfYVlZlGR3J49e7jooovmXXbJJZdgjGF8fHxFFrY3X/7ylxkZGeEFL3jBvMtf8YpXsGvXLr73ve8dknV4PJ7DlyZW3Ibou584tnXgZw82DvmaPA+PRYmcUoparTbvsmrV9otIeWhcuX/xi19w5plnEkXza2XOOeec2eMej8fzcJkGxtl3UPJPJOzYfvcqrMjzcFi048ldd901T2CUshNy77xzX0Os888/fxmWNp/p6Wke9ahH7XP5xo0bZ4/vjyzLyLJs9vdWq7Xs6/N4PIc3ZaBR3bDay/AskUWL3Mtf/vIFL/+jP/qj2Z+NMQghZgVwuRFi//W7Bzp2/fXXc911163Ekjz7IcSOM6n1fob+/C6BnczsLo+wfoG6dyyY873U+97FNu4arN2SxvY4ud+He+cN9W4vwJaHd3vHh4DqnHPSOcci7BtY2Ltf2Tve6t1H0Lv9Uu+8oHe/pd5XBagIkKZv+qt757ihnFVgLIKxUSj1/usUkCeQFFAOoFyD9aMgFSQZxAlEgb3dJAGXNAmwtxECQQSFhEz2H4vprV/2HlOJvi9j0nvOq73nR/XOrwJDZRiq2etVy2AUtHMoEjCif/+id26moSvt8wR9p5Dh3nPinr9S72fVu+4YcGxvrR1s1DS3cn+od50cOKl3G9Xec7qu97gUNuKi9/sm4MQqaA1pbo8N925b9W7z1Aq0JdQEzEh7e21gK/P5DeAxx0A7hU7TNo5nwOM2wG+f6kVu0FiUyH3yk59c6XU8JJs2bVowWpuZmQH6Ed1CXHnllbzpTW+a/b3VanHSSScteQ0V4BRgfQDHbYBTT4Tq0BBloRFRjeGyoFodItCSTIeMViOGaxWiyhAbqoZWBlmh2DBcIgoDmnFBIRWR0EgTEgmFNAFRGFArCSQR1QjK5TLVckStUkJgiHONkgWagMBIEikIjESEJSqhIc4kjW5OFMBwtUQURZRLEbVySBBGGFXQzgxC925DAEYT5xqBoRQKjAgJ0EgNaZaTS41WEqkhDKzzQxiGhIEgDEPKUWALf4wmKextVMsRYSDsdYTBIAiCwK4jCNDG3lYgoFAGYwxRGBAGAm1stiCXGq3tlzKCcgiaAIGhkIpCGYRRGBFSiQSlUolyFNgPW9p+6CqFAoNAa41U9svdtjFm3mOPwoBSFBIIkEqTSw1G2+G6c2q0hBCUopBapcRQ1b4+xhiSXKG1vS1NQDkEg0Aqe19BENjnrve8GK3ICoUyguGygCBCK0kmDVpJCmXsh0YRUC0Fs48vDO0aEQEBmlzZ1zAI7OvpSt0DYe8/EMweU9rY5waz4LFCKqSyVYTucVQi+xElk4YogFJkP6Ko3h1FoX1NcmVfa7CvqcC+BkEQzHsdCmmf/ygMGKpECxaNaW3//gLs6xCnOUlWkKQZqYRaZChXh9g8WqZSLpFJQyCgUgrR2v4dlkMolyK01qRF7+87ConCAKUUrThnaqbBLx/Yxkxe5qJHjXLCyY8kCuxjcs/PgT5Ee9Y2ixK5l73sZSu9jofksY99LJ///OeRUs5Lm/785z8H4Oyzz97vdSuVCpXKvv5dv7juGYyOjqJNv8nT/dPOfXN4qD9wY8zsbRyKf4Z1D/sWauz/I0Gfg31cB3O9hR0BFx5QuRLP93LdZvUgbOJG97lk75KHhyKktIRZnkGwv2e2dyzaf5XyQz2+uVvm+z01DCiXIoYPfFMEQUA5AAiIIhiqHvh5mXvfQRAwOuf3MAwZ3ktIoyhi41jExrEhHv2I4x9iNZ5B5WHPkztUPPe5z6XT6fClL31p3uWf/vSnOf744/n//r//76BuVwhBGAiEsF9RaCOpIAhmL1/KbRxOHOzjWunnYyVu/3B9DT2eI52Dnid3qHnWs57F0572NP70T/+UVqvFaaedxuc//3n+7d/+jc9+9rPeU87j8Xg8+zAwIgfwT//0T/z5n/85V199NTMzM5xxxhl8/vOf54UvfOFqL83j8Xg8a5BFOZ4cbqx2B77H4/EcKaz2++3A7Ml5PB6Px7NUvMh5PB6P57DFi5zH4/F4Dlu8yHk8Ho/nsGWgqiuXC1dr4z0sPR6PZ2Vx77OrVeN4RIqcswc7GGsvj8fj8Syd6elp1q17+H5NS+WIFDnnc7lt27ZVedIPFc6jc/v27Yd1q4R/nIcX/nEeXjSbTU4++eQD+guvJEekyAWB3Ypct27dYf3H5RgbG/OP8zDCP87DiyPlcbr33UN+v6tyrx6Px+PxHAK8yHk8Ho/nsOWIFLlKpcI111yz4Pidwwn/OA8v/OM8vPCP89BwRHpXejwej+fI4IiM5Dwej8dzZOBFzuPxeDyHLV7kPB6Px3PYcsSIXKfT4Q1veAPHH3881WqV8847j3/4h39Y7WUtim9961u88pWv5IwzzmB4eJgTTjiB5zznOfzoRz+ad97LX/5yhBD7fJ1xxhkL3u7f/M3fcMYZZ1CpVHjkIx/JddddR1EUh+IhLcitt9664PqFENx+++3zzv3xj3/MU5/6VEZGRli/fj3Pe97zuP/++xe83bX2OPf3Ou39WAft9Wy327zlLW/h6U9/OkcddRRCCK699toFz12J129iYoKXv/zlbN68maGhIZ74xCfyzW9+czkfIrC4x6mU4q/+6q945jOfyYknnsjQ0BBnnnkmb3vb22g0Gvvc5v7+Fv7yL/9yTT9OWLm/02V7nOYI4WlPe5pZv369ufHGG823vvUt88d//McGMJ/73OdWe2kPyfOf/3xz6aWXmo985CPm1ltvNV/84hfNE57wBBNFkfnmN785e97LXvYyU6vVzHe/+915X3fcccc+t/kXf/EXRghhrrzySrNlyxbzvve9z5TLZfPqV7/6UD60eWzZssUA5j3vec8+j6Hdbs+e9+tf/9qMjo6aCy+80HzlK18xX/rSl8xv/MZvmOOPP95MTEzMu821+DjvvffefR7fd7/7XbN582ZzwgknGCmlMWbwXs8HHnjArFu3zlx00UWz/1/XXHPNPuetxOuXpqk5++yzzYknnmg++9nPmv/4j/8wz3nOc0wURebWW2895I+z3W6b0dFR8yd/8ifmi1/8otmyZYv5wAc+YDZs2GDOOuus/397dx7U1PX2Afx7TUwCQcCwuIvWHdkUt7oU0KKIS0UUx71o1VodW21HrdW61X2laqfVodpxpWxWRe04CtpqFVxal6oV1wpuEESERIw87x++uT+vCYgaSgjPZyZ/5Dkn95znnpsczs3NhQoKCiT1AdCAAQNMxjojI8Oq8yQqm+PUknlWikkuKSmJANC2bdsk8eDgYKpdu7b4oWKt7t27ZxLLy8ujGjVqULdu3cTYyJEjSa1Wv3J7WVlZpFKpaOzYsZL4ggULSBAEunDhwtt3+g0YJ7nY2NgS6w0cOJBcXV0pNzdXjN24cYOqVq1KU6dOFWPWmqc5KSkpBIBmzpwpxiraeBYVFVFRURERET148KDYD8WyGL9169YRADp27JgYe/r0KXl6elK7du0slSIRlS5Pg8FAWVlZJq+NjY0lALR582ZJHABNmDDhlW1bW55EZXOcWjLPSnG6MjExEQ4ODhg4cKAkHhkZiczMTJw4caKcelY67u7uJjEHBwd4enri33//fe3t7d+/H3q9HpGRkZJ4ZGQkiAg7d+58066WOYPBgD179iA8PFxyKyQPDw8EBQUhMTFRjFWkPKOjoyEIAkaNGvXar7WWPI2nqUpSVuOXmJiIZs2a4d133xVjcrkcw4YNQ2pqKjIyMt4yu/8pTZ4ymQwuLi4m8Xbt2gHAG71vAevL83WU13hWiknu/PnzaNGiBeRy6a06fXx8xPKKJjc3F6dPn0bLli0lcZ1Oh5o1a0Imk6Fu3bqYOHEitFqtpI4xX29vb0m8Vq1acHV1Lff9MWHCBMjlcjg6OqJHjx74/fffxbKrV69Cp9OJY/ciHx8fpKenQ6/XA7D+PI1yc3MRFxeHbt26oWHDhpIyWxjPF5XV+J0/f77YbQLAhQsXLJbD2zh06BAAmLxvAWDbtm2ws7ODUqmEv78/Nm7caFLHWvO09HFqyTwrxQ2as7Oz8c4775jEjXfFNv7rnYpkwoQJyM/Px1dffSXGfH194evrCy8vLwDA4cOHsWrVKhw8eBBpaWlwcHAA8DxfpVIJtVptsl2NRlNu+8PJyQmffvopAgMD4eLigvT0dCxbtgyBgYFISkpCjx49xL6Zu6O5RqMBESEnJwe1atWy2jxftn37duh0OowePVoSr+jjaU5ZjV92dnax23yx3fKUkZGB6dOno02bNujdu7ekbMiQIejVqxfq1auH+/fvIzo6GqNGjcK1a9cwf/58sZ415lkWx6kl86wUkxyAEpfdllyS/xdmzZqFrVu3Ys2aNfD39xfjkydPltQLDg5Gq1atMGDAAGzYsEFSbo37o1WrVmjVqpX4vEuXLggLC4O3tzemTp2KHj16iGWl7b815vmy6OhouLi4ICwsTBKv6ONZkrIYP2veB1qtFqGhoSAixMTEmNyRf+vWrZLn4eHh6NOnDxYvXoxJkybBzc1NLLO2PMvqOLVUnpXidKWLi4vZmd+4nC6v/3P0JubOnYtvvvkGCxYswMSJE19ZPywsDGq1WnIJvouLC/R6PQoKCkzqa7Vaq9ofzs7O6N27N86ePQudTid+z1HceAqCAGdnZwAVI8+zZ8/i5MmTGDZsWKnu7VfRx7Osxs+a3+M5OTkIDg5GRkYGDhw4YPaskjnDhg2DwWDAyZMnxZg15/mitz1OLZlnpZjkvL29cfHiRRgMBkn83LlzACAus63d3LlzMWfOHMyZMwczZswo9euISPKXo/GcuDF/o7t37yIrK8vq9gf9/+1VBUFAo0aNYGdnZ9J34Hk+jRs3hkqlAlAx8oyOjgYAfPTRR6V+TUUez7IaP29v72K3CZTfezwnJwfvv/8+rl+/jgMHDpj9nqk4xuP+5bG2xjzNeZvj1KJ5vta1mBXU3r17CQDt2LFDEg8JCakQPyEgIpo3b57JJealERMTQwBo9erVYiw7O5tUKhV9/PHHkrqLFi2yukvrtVot1alTh/z8/MRYREQEubu706NHj8TYzZs3SaFQ0LRp08SYteep1+tJo9G81iXRFWU8S7rkvCzG77vvviMAdPz4cTH29OlTatmyJbVv396CmUmVlKdWq6XWrVuTs7MzpaWlvfa2Q0NDqWrVqvTgwQMxZo15mvO2x6kl86wUkxzR89/EVa9endavX0+HDh2iMWPGEADasmVLeXftlZYvX04AKCQkxOyPiIme/86oY8eO9O2339LevXtp3759NH36dFKpVNSyZUt6/PixZJvGH2XOmDGDUlJSaNmyZaRUKsv1R9KDBw+madOmiT+eXb9+PTVr1ozkcjkdOHBArHfx4kVycHCg9957j/bu3UsJCQnk5eVV4o+JrSlPox07dhAAWr9+vUlZRR3PvXv3UmxsLP34448EgAYOHEixsbEUGxtL+fn5RFQ246fX66lly5ZUr1492rp1Kx04cIDCwsLK5EfSpcmzoKCA2rZtS4IgUFRUlMl7Nj09XdzW0qVL6cMPP6TNmzdTcnIyxcTEUPfu3QkAzZkzx6rzLKvj1JJ5VppJLi8vjyZNmkQ1a9YkhUJBPj4+tH379vLuVqkEBAQQgGIfRM//agwLC6MGDRqQnZ0dKRQKatKkCU2dOpUePnxodrtRUVHUtGlTUigUVL9+fZo9ezYVFhb+l6lJLFq0iPz8/MjJyYlkMhm5ublRWFgYpaammtQ9efIkdevWjezt7cnR0ZH69esn+eB4kbXlaRQcHExqtVqyojGqqOPp4eFR7HF6/fp1sV5ZjN/du3dpxIgRpNFoSKVSUYcOHSR/HP2XeV6/fr3E9+zIkSPFbe3atYs6d+5Mbm5uJJfLxbvBFPf5ZE15luVxaqk8+f/JMcYYs1mV4sITxhhjlRNPcowxxmwWT3KMMcZsFk9yjDHGbBZPcowxxmwWT3KMMcZsFk9yjDHGbBZPcowxxmwWT3KMMcZsFk9yjDHGbBZPcowxq/XkyRNERkaiXr16cHR0RIcOHXDs2LHy7harQHiSY4xZLYPBgIYNG+Lo0aN4+PAhxo8fj759+5r9x5uMmcM3aGaMVSgajQbJycnw9fUt766wCoBXcsxqbNq0CYIg4OTJk+Xajzlz5kAQBEnM2LcbN26UT6csbN68efD09ERRUREAIC4uDoIgICYmxqSur68vBEHAr7/+alLWqFEjtG7dWhJ79uwZ3N3dsWrVKov3+9KlS9DpdGjUqJEYi46ORp06dZCfn2/x9ljFx5McY6XQq1cv/PHHH6hVq1Z5d+WtZWZmYunSpZg3bx6qVHn+ERAYGAhBEJCcnCypq9Vqce7cOajVapOy27dv49q1awgKCpLEjxw5ggcPHqB///4W7XdBQQGGDx+OmTNnwsHBQYyPHDkSarUaS5cutWh7zDbwJMcqlJK+iynL72nc3NzQoUMHKJXKMmvjvxIVFQVnZ2fJJOTq6govLy+kpKRI6h4+fBhyuRyjR482meSMz1+e5OLi4tCmTRt4eHhYrM9Pnz5FREQEPD09MWPGDEmZXC7HuHHjEBUVxd/VMRM8yTGrZTxtePr0aQwYMADVq1cXT1OVVJaeno7IyEg0adIE9vb2qFOnDvr06YNz586ZtJGUlAQ/Pz8olUo0bNgQy5cvN9sXc6crS9uOsa8XLlzA4MGD4eTkhBo1amDUqFHIzc2V1L106RIGDx6MGjVqQKlUon79+hgxYgSePHki1rly5QqGDBkCd3d3KJVKtGjRAuvWrSvVPi0sLER0dDSGDBkiruKMgoKCcPnyZdy5c0eMpaSkoG3btggNDcWpU6eQl5cnKZPJZOjSpYsYIyIkJiYiPDzcJP+zZ89i4MCBcHJygkajwZQpU2AwGHD58mWEhISgWrVqaNCggcmKrKioCCNGjIBMJkN0dLTJqWQAGDp0KB49eoQdO3aUaj+wyoMnOWb1+vfvj8aNGyM2Nhbff//9K8syMzPh4uKCxYsXY//+/Vi3bh3kcjnat2+Py5cvi689ePAgPvjgA1SrVg07duzAsmXL8PPPP2Pjxo2l6ldp2zEKDw9H06ZNER8fj+nTp2Pbtm2YPHmyWP7XX3+hbdu2OH78OObNm4d9+/Zh0aJFePLkCQoLCwEAf//9N9q2bYvz589jxYoV2LNnD3r16oVJkyZh7ty5r+zziRMnkJ2dbbL6Av63IntxNZecnIyAgAB06tQJgiDgt99+k5S1bt0aTk5OYuzYsWO4c+eOZJIzioiIgK+vL+Lj4zFmzBisWrUKkydPRr9+/dCrVy8kJiaia9eumDZtGhISEsTXjRs3Dnfu3EFMTAzkcrnZvGrWrInmzZsjKSnplfuAVTLEmJXYuHEjAaC0tDQiIpo9ezYBoK+//tqkbkllLzMYDFRYWEhNmjShyZMni/H27dtT7dq1SafTibFHjx6RRqOhl98axr5dv379tdsx9nXp0qWS+p988gmpVCoqKioiIqKuXbuSs7Mz3b9/v9g2evToQXXr1qXc3FxJfOLEiaRSqUir1Ra/I4hoyZIlBIDu3r1rUqbVaqlKlSo0duxYIiLKysoiQRBo//79RETUrl07+uKLL4iI6NatWwSApk6dKtnGZ599Rt7e3pKYMf8VK1ZI4n5+fgSAEhISxNjTp0/Jzc2N+vfvT0REN27cIACkUqlIrVaLjyNHjpj0f+jQoVSjRo0S82eVD6/kmNUztyooqcxgMGDhwoXw9PSEQqGAXC6HQqHAlStXcPHiRQBAfn4+0tLS0L9/f6hUKvG11apVQ58+fUrVr9K086K+fftKnvv4+ECv1+P+/fsoKCjA4cOHERERATc3N7Pt6fV6HDx4EGFhYbC3t4fBYBAfoaGh0Ov1OH78eIl9zszMhCAIcHV1NSmrXr06fH19xZXc4cOHIZPJ0KlTJwBAQECA+D1ccd/HJSQkFDtevXv3ljxv0aIFBEFAz549xZhcLkfjxo1x8+ZNAICHhweICDqdDo8fPxYfL54iNXJ3d8f9+/dhMBhK3AescuFJjlm9kq5oNFc2ZcoUzJo1C/369cPu3btx4sQJpKWlwdfXFzqdDgCQk5ODoqIi1KxZ0+T15mLmlKadF7m4uEieGy9i0el0yMnJwbNnz1C3bt1i28vOzobBYMCaNWtQtWpVySM0NBQAkJWVVWKfdTodqlatCplMZrY8KCgI//zzDzIzM5GcnAx/f3/xSsaAgACcOXMGubm5SE5OhlwuR+fOncXXpqam4tatW8VOchqNRvJcoVDA3t5e8keGMa7X60vMwxyVSgUieqPXMttl/gQ3Y1bE3IUGJZVt2bIFI0aMwMKFCyXxrKwsODs7A3i+ahEEAXfv3jV5vbmYOaVpp7Q0Gg1kMhlu375dbJ3q1atDJpNh+PDhmDBhgtk6DRs2LLEdV1dXFBYWIj8/H2q12qQ8KCgIK1euREpKClJSUsTJE4A4oR05ckS8IOXFS/nj4+PRtGlTeHl5ldiHsqLVaqFUKiV9YoxXcszmCIJgcql/UlISMjIyxOdqtRrt2rVDQkKC5C//vLw87N6922LtlJadnR0CAgIQGxtb7GrM3t4eQUFBOHPmDHx8fNCmTRuTx8urxZc1b94cAHD16lWz5e+99x5kMhni4uJw4cIFBAYGimVOTk7w8/PDTz/9hBs3bpicqoyPjy/x1HJZu3btGjw9PcutfWadeCXHbE7v3r2xadMmNG/eHD4+Pjh16hSWLVtmcipw/vz5CAkJQXBwMD7//HM8e/YMS5YsgVqthlartVg7pbVy5Up07twZ7du3x/Tp09G4cWPcu3cPu3btwg8//IBq1aohKioKnTt3RpcuXTB+/Hg0aNAAeXl5SE9Px+7du3Ho0KES2zBOWsePH4ePj49JuaOjI1q3bo2dO3eiSpUq4vdxRgEBAVi9ejUA6fdxf/75J65evVpuk1xRURFSU1MxevTocmmfWS9eyTGbExUVhWHDhmHRokXo06cPdu3ahYSEBMmtoAAgODgYO3fuxKNHjzBo0CBMmTIF4eHhGDVqlEXbKS1fX1+kpqbC398fX375JUJCQjBt2jQolUooFAoAgKenJ06fPg0vLy/MnDkT3bt3x+jRoxEXF4du3bq9so169eqhS5cu+OWXX4qtExQUBCJCq1at4OjoKCkLCAgAEUGhUKBjx45iPD4+Hh4eHvD393+j3N9WSkoKcnNzMXTo0HJpn1kvvkEzY5VMfHw8Bg0ahJs3b6JOnToW2aanpyd69uyJFStWWGR7r2v48OG4du0ajh49Wi7tM+vFkxxjlQwRoWPHjvD398fatWvLuztv7erVq2jRogUOHTokudqTMYBPVzJW6QiCgA0bNqB27drifyGoyG7duoW1a9fyBMfM4pUcY4wxm8UrOcYYYzaLJznGGGM2iyc5xhhjNosnOcYYYzaLJznGGGM2iyc5xhhjNosnOcYYYzaLJznGGGM2iyc5xhhjNosnOcYYYzbr/wDrfjgJ4nxNbAAAAABJRU5ErkJggg==",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -378,7 +378,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -405,7 +405,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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3u199fb3j599++w0TJ06ExWLBpEmTcMkllyAsLAxKpRL79+/Hd99951O8IS4uzssJ+vbbb72c7Llz5+Kyyy6DSqXChg0b8OSTT2L58uW4//77AQBhYWG4/vrr8eyzzyI4ONjt2OPHj6OyshIDBw5ssp7qtttuw9KlS/H+++9j5MiRaGxsxCeffIIOHTpg5syZLbLP8958IT4+HgBFE2RceeWVWLlyJbp06YJLL70U8fHxjvqs1157zWvsvvrqK/zf//0fPv/8czz++OMAgMDAQMyZMwcvvfSSox5LfpYffPCB3/sGnM9Stqk521uCtpxLtnf9+vU+hTQ87a2trW3yGv62N2UD0Pr53JZ7zcnJwbBhw1BVVYWxY8di8uTJCA8Ph0qlQl5eHpYuXdpqwRNPyHb5u8+EhAS3/Vzhjwyo1Wo3ot8S+Lu+/LxffPHFJo+Xn3fnzp2xa9cuLFiwAGvXrsXy5csBkODdf//9uPPOO1tlV3vg1VdfRdeuXfHxxx/jueeew3PPPQe1Wo2LLroIr7zyCrp06fK72yQgINA0BJkSEBDwwpgxY/DLL79gw4YNuPHGG8/oXLIT9e9//xuvvPJKi455+umnYTAYsHHjRjd1MQB47rnn8N133/k8ztdq8pIlS5pUe4uMjMSrr76KV199FdnZ2di8eTPee+89vPHGG6iurvYiOhdffDHS0tLw8MMPY+LEiVi/fr3PIvXhw4dj8ODBDiGK77//HlVVVXjwwQeh0WhabJ+MkpISn9tlNT95nHfv3o2VK1di0qRJWLNmjdu1bDabTyl7nU6HBQsWYMGCBcjPz8eWLVuwZMkSfPLJJ8jLy3NEQeRrHDhwAOedd16zNsv7N2d7S9CWc8nHvP7665g/f36z1wgLC2vyGv62y/AXzWjtfG7Lvb7yyiuoqKjA4sWLvVTlvvjiC6953BbIdvl7bkVFRW77nS34G2f5ujU1NY5n2Rx69eqFr776ChaLBQcOHMDPP/+MN998E3fddReCg4Mxb948AIBSSfFji8XidY7q6uo23IVvqFQq3H333bj77rtRWlqKbdu24csvv8SyZctw5MgRZGRk+I2aCwgInBsIaXQBAQEvzJs3DxqNBt988w2OHDnS5L7NrXYPGzYMSqWyWSU0V2RnZyMqKsrL8QTQ4rSwtqBbt2648cYbsXnzZoSEhGDlypU+93vooYfwyiuvYN++fZgwYQJKS0t97nfbbbfBYDDg008/xXvvvQeFQoGbb765Tbb5uu+amhrs378fgYGB6NWrFwCOHQBceumlbkQKAHbt2uWV+uWJ5ORkXHPNNVi3bh26d++OLVu2OOTUR4wYAQAtfpYDBw4EAGzbts2R6ukKXzLT/tCzZ08EBQVh//79PiMfvs7VWnvDwsLQpUsXFBQUIC8vz+vzbdu2tdheV7R2PstqiE09c1/XAIDLL7+8RdcA4Ei78/VsfCE0NBRdu3ZFQUEBsrKyvD7fuHGjm/2/N1r7vF2hVqsxePBgPPDAA452Da7vf2RkJAAgPz/f69jWNC1vzZh36NABs2bNwtdff42JEyciKysLGRkZLb6WgIDA7wNBpgQEBLyQkpKCBQsWwGQy4aKLLvLrLKxduxbTpk1r8lwdOnTANddcg927d+Opp57yubJ74sQJ5Obmul2/srISBw8edNvvo48+wrp169pwR76Rm5uLw4cPe22vqqqC0WhEYGCg32P//e9/Y9GiRcjIyMD48eMdq/KuuPrqqxEREYHnnnsO27dvx+TJk9ucpvPpp586apBkLFiwADU1Nbj66qsdaXxyrY8nuSgtLcUdd9zhdd6ysjLs3LnTa3tDQwPq6uqgUqmgVjOJYd68eYiIiMDChQt91qTYbDa36yYlJeHCCy9Ebm4u3nrrLbd9v/vuu1YRY41Gg2uuuQZ1dXVe9U+7d+/G//73P69jhgwZgrFjx2LFihX4+OOPfZ730KFDbmT4uuuug81mw0MPPeSoHQToRL/22mstttcVrZ3Pl156KSIjI/H55597vXvyM/d1DcBJaGSsW7cOH374oU+75IiqL4LgDzfccAMkScJ///tfN0JQXl6Op556yrHPucCdd94JjUaDf//73476PVeYTCY3orVr1y6f0T95m+v7L9fDLV682O1vWH5+Pp588skW2xgZGQmFQuFzzI1GIzZs2OA27wDWQMoLGk39TRIQEDg3EGl+AgICPvHwww/DYrFg4cKFGDp0KEaNGoUhQ4YgJCQEJSUl2LJlC7KysjBkyJBmz/XWW28hKysLjz/+OD799FOMGTMGcXFxKCwsxNGjR5Geno4vvvjC0dDynnvuwbp16zBmzBhHr5Xdu3dj27ZtmD17tqO24Uxx4MABzJw5E4MHD0bfvn2RmJiIsrIyfPfddzCbzXjggQeaPP72229HQEAA/vWvf2HcuHHYsGEDkpOTHZ8HBQVh7ty5eP311wG4C0+0FtOnT8fo0aMxZ84cR8+hbdu2ISUlBc8//7xjv6FDh2L06NFYsWIFRo0ahTFjxqCkpARr1qxBWloaEhMT3c5bUFCAESNGoFevXhg0aBCSk5NRW1uLVatWobi4GHfeeacjZSo6OhrLly/HzJkzMWLECEyaNAl9+vSBUqnEqVOnsGPHDlRUVLiJKyxatAgjR47EPffcg59++gn9+/dHdnY2Vq5c6RC+aCmeffZZbNiwAa+99hp2797t6DP11VdfYfr06T4bwH7++eeYOHEibrzxRrzxxhsYPnw4IiIicPr0aRw8eBAZGRnYsWOHQ9Dg/vvvx7fffosvv/wSmZmZmDx5MmpqavD111/j/PPPx7fffutI+WopWjufQ0JC8P777+PKK6/E2LFj3fpMZWRk4Pzzz8eWLVvcjrn99tuxePFizJkzB5dffjk6duyIjIwMrF27FnPmzMFXX33lZdekSZOwbNkyzJo1C9OmTYNOp0Pnzp1x7bXX+r2X++67D2vWrMF3332H/v37Y/r06Y4+U6Wlpbj//vubFeo4W+jZsyc+/vhj3HDDDejTpw+mTp2KHj16wGw249SpU9i6dStiY2MdgiOff/45Fi1ahHHjxqFbt26IjIzEiRMn8MMPPyAgIAB3332349zDhg3D+PHjsWnTJgwbNgwTJ05ESUkJfvjhB0yZMqXFhDQkJATDhw/Hli1b8M9//hPdu3eHSqXCJZdcgk6dOuGCCy5ASkoKhg8fjs6dO6OxsRHr16/H0aNHMWPGDPTu3fusjJ2AgMAZ4NyKCQoICPzRceTIEenOO++U+vTpI4WGhkoajUaKj4+Xpk6dKn344YduEr5Nyf4ajUbpzTfflEaOHCmFhYVJWq1WSk5OliZOnCi9+uqrbv2MJEmSfvjhB2n48OFSSEiIFB4eLl144YXS5s2bpcWLF/uU0/Yl49wc8vPzpYceekgaNWqUFBcXJ2m1Wqljx47S1KlTpR9//NFt36bu7dNPP5VUKpWUkpLi1WdI7mWVmJjo1RenJXCVZF6yZImjN1JMTIx0/fXXe/XTkSRKs992221S586dpYCAAKlLly7SQw89JDU0NHiNU1VVlbRw4UJpwoQJUmJioqTVaqX4+Hhp3Lhx0ueff+5TLj03N1e64447pG7dukkBAQFSaGiolJaWJv3zn/+UVq5c6bV/VlaWdPnll0vh4eFSUFCQNGLECGnVqlV+n2VTKCoqkubNmyfFxMRIgYGBUv/+/aXFixdLGzdu9NlnSpIo//7MM89IgwYNkoKDg6XAwEApJSVFmj59uvTee+959fSpqqqS7rrrLikhIUHSarVSWlqa9NJLL0k7d+702efKlwS2J1o7nyVJkn766Sdp9OjRkk6nkyIiIqRLLrlEOnr0qN/r/frrr9KECROkiIgIKSQkRBo9erS0cuVKv2NjsVikhx56SEpNTXX06Ro3bpzjc3/vlMFgkJ555hmpT58+UmBgoONan3/+ude+zUmBNyfP7glPG33h4MGD0ty5c6VOnTpJWq1WioyMlPr06SP961//kjZs2ODY77fffpNuvfVW6bzzzpMiIyOlwMBAqWvXrtL1118vHTp0yOu81dXV0r/+9S8pNjZW0mq1Up8+faT33nuvVdLoksT3YcaMGVJUVJSkUCgcz99kMkn/93//J02dOlVKTk6WAgICpJiYGGn48OHSO++8IxmNxhaPk4CAwO8HhSR5xJMFBAQEBNoNH3/8MW688UY89thjrUoHEvjj4YMPPsC//vUvvPvuu2cUZRQQEBAQ+OtAkCkBAQGBswSLxYKBAwciMzMTubm56Nix47k2SaAFKCws9EqHzM/Px+jRo1FcXIyTJ086ZMAFBAQEBP7eEDVTAgICAu2MLVu2YOPGjdi0aRMyMjJw9913CyL1J8Lll18Os9mMwYMHIyIiAnl5eVi1ahX0ej1eeOEFQaQEBAQEBBwQZEpAQECgnfHLL79g4cKFiI6Oxq233uomECHwx8d1112H//3vf1i5ciWqqqoQEhKCESNG4K677vJqpiwgICAg8PeGSPMTEBAQEBAQEBAQEBBoA0SfKQEBAQEBAQEBAQEBgTZAkCkBAQEBAQEBAQEBAYE2QJApAQEBAQEBAQEBAQGBNkCQKQEBAQEBAQEBAQEBgTZAkCkBAQEBAQEBAQEBAYE2QJApAQEBAQEBAQEBAQGBNkCQKQEBAQEBAQEBAQEBgTZAkCkBAQEBAQEBAQEBAYE2QH2uDfijwGazobCwEKGhoVAoFOfaHAEBAYG/DSRJQl1dHRITE6FUijU+V4j/TQICAgLnBi393yTIlB2FhYVITk4+12YICAgI/G2Rn5+PpKSkc23GHwrif5OAgIDAuUVz/5sEmbIjNDQUAAcsLCzs97no6SzguzeBmjIgPBa49C4gqXvrz7HsJWDPOkAXChgbgOhEYOh0IO8QMPVGYNAFZ8f+5uwqyQPiUvj9owcBfS2g0QGpfYCsvYAuBDDUAT0GA1WlgNkEVBUDqecBNz7f+rE4ExsB57MwmwCLGeg14tyNoefc6D4I2PgFYGgAEroC1zx69senPdDUHN+z3n1eJHUDNAHO/Y5sBz5bCDTqAasJCAgFOiQBkfHAjFt5jhP7ga4DgMEXnh3b5fnRlvfyoweB3IO0NyQSmDmf86g93vuzgT3rgW/f4DtYnAdIVtqn0gBz/gtcOPesXbq2thbJycmOv8MCTpyT/00CfxqUl5eja9eubttOnDiBmJiYc2SRgMBfBy393yTIlB1y+kRYWNjv9w+r92Ag9CGnw5ac1rrj8zOBde8BFblAoBYICQK69AaCQ4GiY0BcR6BrH+D3/gcs21VdCkR0ANKGAYmdgcg4oCgHCNQAWiWgUQIWFRAZAwQHA7UVQFwinc7eg39/GxurgV5DgMPbgABd68YwPxMozgXiU1v/HH2hocxpT84BoCwHqDgJKFXAiZ3AyX0tH6P0NUD6WiA8Bjh/TvvY11Lk7QOKjwPdBgLlBYC+HAiz2z3hcs7ZrL18DpnpQEqac7/SbMDSAChtdOgHn+8kutu+Agy1QEMtUJwJdOvbvvclz4+iE4Bayzk5dFrLj28oA1Q2zp/KIs5reR6d6Xt/NpCfCRiqAH0FUJoDwAIoAOirgOBwoPQEkPkrAEX7zXEfEGls3jgn/5sE/jQwGo1e20JDQ8VcERBoRzT3v0mQqXON5LS2OybFuXT2zCbAbASsFmDsLKDf+efWUSvOpXPcpT+JgAJAWBRw8gigr+E+6gDAaubqd8FxICYZ6D+Bq/jxXc6NjREd+HNCV2DMTEChbNkY5mcCSx4DyvKB2GTg+qfOfNzjU532RHQAaiuBukrapFQClcUtO8+PHwAfPQTUVQEKCfjxQ+Ced1tHDNqK/Exgz09ARQFQUQj0HOaMAsqfQ8Go29rF7vtJNiB7LyBJgEoNBAZzTIrzSHx3fMd9QyL5PWNr+8x1mRSXnea7VVdFMrTyDc5L12s0RaDjUzmPGg8CMR2BMbO895GkM7e3PZCfCSx/mfdbegqwWZyfWYyAyQAc2ERCHpMEJHQBZt/7xyCBAgICAgIC5xiCTP2ZEZ/KVfOyfEYs6quBbStIpoZMObd2abTA3vVAbBKdyYY6oLacpG/oNCBrDwmC1QqYjLwHQx3TvDJ3nX1nzZOs9B3Lr7aQ0ENbgcydgFYHVLaTY5+cxjEoySOx+Pw5bpdsgFLrvq8vpz4/E/j+bWDDp0B9lf1YAGWngBfmApfddfajVMW5gMUEDJ8BZO8DBk92t2/5yyS0ZiOjTa77Hd/NCFVELFMbk9M4p7et5DMLCgWqNYBCYb+xdoCrTWotbaosAqIS+HNJnm/7Izp4z9fkNBLysnwem5nO9zI5zfs6gycD/caeO3IiLywEBDFN2A0Kkj5DPdBQA3QfzH1dx0JAQEBAQOBvDEGmfk+0dypYchrTj5Y8BpScZFSkKBd48Xqu7l98+7lzeCqLuLqvUgGZe4DcA4ygGeqA/b/YIxQK1k1VFtkJVzVX/4tyzr6z5kpWPMlTca5znxbD7nSiHdOU5Khl+lpAo+EYyWOae9Ae2QGw9DFuj00C5j7FbW/fAxzcSKLiiZoyYMVrQO4hYMo8nLXULZmwlhcAKX1JVmXIDnxMRyDjVyA4DMg/xpSyiiJg3WLW7kABdO4FXP2wM5qWtZfn3bMeKD/NaInrudsKz2jl4MmMiFnMjMa4RtVc7c/a64dAK0gmI+MZ9ZHntOuxO1fxHn6PBQR/kJ/ToS2AzZOYKhj9a6gBtIFAVYn7WLT33zQBAYFWITw8HBs3bvTaJiAg8PtBkKnfC82tZLcVsoO58g0SqaITQIGVK/vZe4F/f+j/OmfLEdq8jBEGAMiu5Op7fTUdS0liOuKYWVytz7WnQfUeTRGN4l/oUEu29rPHHzxTLNv6jPqNJXmVCU17OPaukFPGygtYy9VrJIlpSR5Qmg8c28WInpzuFpPEzxQq1hpZzR4ntBO+01mcN5qA9p2TMjyja64kVY6q7lxFe4JDSVoa9cDPn5BYJ3ThIkFMEvdJX8PIlPx8ps5reSpmS+AZrTz/Cn75Itye9u/5ic/dzQ6J72T2PiA4wjmn5etk7eWxcj3ZuYr2yM8pMIhjq69zpvopJNampZ4HXHAt0KGTcyzO1t80AQGBFkOr1WL8+PHn2gwBgb81BJn6veC56i07TmdCaBzHdgFuew146XoSKZWK6XMlJ/07aGfTEaotB2w2pr2ZDAAUJAGSRNt0IXTKACq2NVQDO77l/gMmMiKhOAu9Zpoba3/PqDkkpzEidLbq1JLTgLShwJEddODzMpz1R6X5ACT3dLf4VH5Wng9ISiA4GkjoBhRmMcIgSXwuKiUJTNqw1t1va20HfM+1wZMZlek2kMTC1Mj7qCnnz4XZJIRZu6lYqdbQ3j6jKRKStRcYO7v9bJZT87L2so5LPq+v83va74sMZe5hjaBGywhheQG3F+fYSfEwRuHKCzgurpGv3xvJacCM2/iOHE/n4odaw/EPiwYuvA6YdpP7MW19XwQEBAQEBP5CEGTq94LnqndcijuhMRnpiAyd0jJxAE8yNGYmJaZhj/xAAYQ34aC1xRFqKfEbOgXY9CUdyaBwYPyVdMwyd/HzyDiu0q//lOITFgvtVmuYSpQ2rH0dy/xM1jXt/YkRHX/k0dczaul9n4mQSEvs37aCJDUshpEk1/qjtOHu6W7JacDtrwFblvGYIfY59eOHwA+LAJWW2/uMAYwG7/ttb3jOtYyt3Bbbkel/+ccofd5YTyc+PpXfbRZGp04cAGpKgYZ6QK2i7Q21QO1yftYegh+AfZztka+Sk96CE57oN5Zz2hcZSl8DbP4SaGyg2EpQiHP7O/+mcqVSxec4eLKPqNY5QlAoxWAkkNCq1EDHHr6jrf7eFwEBAQEBgb8RBJn6veCrRid9LetW6irpXB7dDuxey/2bI1SeDurudUB1ubNwPigUGH2ZfwettY5QfqZ3bU5Tzp9aDSjV/A4wja+mjBEzXRjTECtO24Mp9oiKxQJUlwEd2rFBpUw6cw+xNmv4Rf5Tqnw9o5ZE8M523Ygs5BCVwHvoOsDp3CankUx42lycyxQ1V3v6jWU6WuZOjnX2PmDQhUBcZ/dITHvDda6ptbRBJrVpQ4H8o0BFMRcBVCoS7diOPLbkFElW3lEqPwYGuUQtJd5Leyn5tXSBQSbnAO2vLnUfv/xMpk9WlXCBwGbhs+s71k5wK2h7dSmw7Ru+F+2VGtqauei5b3Eun0ufUbRTqeTzaKx33q+nyIa/ukMBAQEBAYG/CQSZOhvwdFJcf3dV2SvLB3IOAiY9f7cF0NHK2ts8mZId1MPb6KBKEpjupWSqlErtFCnwl6bUGkfo0Fbv2hx/xxzfQ9LUbSBw6iiw+n3aU1EEdBvE+64qsqd1eRxbXQqs/oDkpznC1hIc2sq0uIRUKu1l72M0xB959IwwNedgN0e22oNoyTVTOMGo3sz53k5tS1TminModa1UASHBfDbFuUBSWssiMW2F61wrzWedkTye1aUkdkGhnMMKJUlVdTnQWMeILQDoghnpVKqoLKdQALUKZ8SnXSAxHe/wr/5FFgAKvsiEVBvAcTtxACgrIGGVyW9QGFBmF24ItzfQ7DGYv1fYpe1t1iYELFqJ1qTuei6OTJlH+zVa2mOViauKLQ2+fI61bFc/5P636WxGZAUE/k6YfBZ7rP30B2nDICDwF4UgU+2N9DXAF88C+nqgY3cWybsWzbs6OHmH7eIA9noXox4IieAqd3OQ62iy9zH6k3+cREfZQNEBV5GCppydVvW6kVomRd1jMGtC8jLonKnVrLs4sY8Kc1odncvug2m/voby15C4il9TSof2TB1Mzz5HnXqz3iYyvuXnaC6C1xTZai+i5VnL44tou/ZHclWZ27IM6DGEBHb5y4yWmAycI7oQpqFFxp0duWvP+5MXFjJ3Ocez+yASkcpCkpPAIKCuggsEteWcK1aLsz+Zvpbf1QGMVIVE8l7bw9ZtK0mC1FqON8DUSNf00LRhHEutDrDa0xIDdCRXsirfmJlAaDQXFSBRUMVi4fgOnQb883Fg8SNcOFEondHbM0VrUnddF0dKTrJvWWgU773nMNbb1VZy7OUau8oi4Ivnzh7pFhAQaDVsElDhoTEUrQGUZ5GbCQgIuEOQqfZEfiaJ1PE9TO+pKGQtiL6eTrxrvUh8KutfVGqKNUhW9nnpNogrxP4iSq7X2raCDlNQGFXDTAbWSRkbmMoWFe9fFc+1Uaday2hHU9GwfmO9a3Pk83gSgvguQMc01kNpdXRQD23jKrxSTTtLT9GBkxX+4EHSLBZPC1oPzz5HfUYzWrfrRzrI/iJfnvfkS5RAhmdPLV/y2b6c2/Q1TAWTZbebiyLIhNw1AiKTk0NbmS5WX835ZDJQrMJq4fM6sIkiH1UljKTo6zjnlEoACuDkYaahtaeCoq/5Fd+FY+LZEDm+C0nfnp9IBvW1lCS3WpzkyQEFp4rFwntVqTk2Z+Lg52fy+kU5rCPLOcD3Z9tK7/RQBajMV3SC0RuNlkIZrqp8CiUQncB3Wq0habKYnHWSlSUcfyh4jwld2ifNr9U1TPbFEauZLQv6T3Aem9ST7+vR32i7yciUv+Jc70UOIY8uIHDOUGEGOmx231Y6DojV+t5fQECg/SHIVHuiOJeOqlJJh9bUSEdDkhhpCY1yrxcZM5NRnKy93GYxAvvWU72sz+im09yKc9mMVZK4sixZud3hiJrpqPtzNIvtMup1VXQWV77RtEPqrzbHV+SlOJckUhPAFW5IdB7leq6wKDpvkHjfCgUAF0derSFxOVMHU3Yu5f5FNWXNpyp63lPaUJJWi9l/Kpzk8d3z+r4ELVa+AZzYTxIDNB1F8NeXaMxMPt9ju4CibDr5DdVMI2uwz4PaCkZOGutJPOqq+btSSYe5powOfVNzpS3wnF9LHgUCgjkHXMmj7IhHxjsFSCQb3yN1AGBuhDvRlgBJASjB7QolSdCWZfy4x+CWCbjIcCV95QXOFD8JzlqoX1cC+zcCqX35DIJDgcAQvn/BEc4Uvqy97PUm2Xgek5HLwxodRSYAXmvvz3xOGq39vW+HhQOgdam7rosjcam8J7mmraqUBKq6DI7UYZsFsEiMGm5d7hTMEPLoAgICAgJ/cwgy1Z6ITwUiE+zqZFamUnUbyIjAgAlARJx7vYhCCVwwl1LQdZWUrbbZozRlp5t2sONTmeKkUNAJNVudn5kMdG7OG+dfbEHuk1OWz8hWQ3XzaV4trSeKT6UzJvcXsljYlNVsYmREsrGfkCv7UNiL3dUBwOhZbNJ6pk6ZHFVa+QajNvs2MJVSoeT3ymLvY2QSEBnPKFb2XnuUzw/pkaNfgy70jj75i2p5CkpExvmPIuRnci7ItSyuEZDd65hKGRoBFNhImMwmDqvNwgilQgWcOsKUyrThwI7v+JkEoMQuONBY3/RcaQtc55c2ECg4QQIXGU+Cl2EXNJAdcZlo11cxRU5fC3Tu6y7nDvD+1WpGcaMTOX5KBbDuYyoTBodzt5YSKnkO9xnD+sMBEyi3DpCw5h/jfDHUAYU5FE6preC9GA1Mk6xWsKZLrSXvO76b57VZAasN0IWS5MnXiutMYm4y8Do5B4B37mF7g/aY8y05h+fiSHEO51PWHmc9mLwIorDnCwUGAWGxJOqeDYiFPLqAgICAwN8UZ6GZz98YyWlAcg86VUGh7ONz6ijFA8bO5mqwZ6QitiNXth0L7zY62p4pY76uNXM+0KknyZQrVAF05I5s95/uk5zGxrnaQDqudVWtT/PyF3mRe/CoNc4UxoZafg8Ks0elAKf6hILpgMGRQLcBviNS+ZlUP8zPbJlt8v5lBRxPs5Gk1mIGqku47fA2H+eTSCr2/MTPqkqA0Eg67WqN91i6pvlptO6f52cC6xYDO1fzu3yt+FTWkEkS6+o8BSVcj1/yGLD2I6ChjqlmHZKB/b8wQpCfSec15yAdXRlGPQAlibk2kOqJFUXAkV/5WaPeOc8CQ7itqbnSFnjOL4uZhKMkjzVse35ieqLsiFtMnDMduzkd+KJsjlNKP0ATyPdKrQY6pACp/Sjx3rE70LkPI1lh0U4Bl5bCdQ7L76lMSGbfy+tYzDz/yQxgvb2hcEMNoNGQkJfmMW2120CS04JskiyARCwonN/laymVjATJ899sBI7ucBLM3wvJaU5BnHWLSaZOHrHXcWl5z5DNtAuDGBvc/zYJeXQBAQEBgb85Wh2Zuuuuu3DnnXciLU2sPnohP5ORDKsFUGjo7GkDmSomO8uuaTgAU6vUWqBDEmCKJQkKj6W6VnMrvPFdGN2oLmeUwWaPTmm1JGcWc9My47HJQFIPRgva0ii3qbSiHkOc6WVKlbNpr80GmM10liV73UhwODDiEiCpO6NBO1cxKuCaCtaaVCLX1C2LyR6FKuK4luVzGxSsh/FK9VMw4mfUc0xMBu6flOab9BTn8NxGg3ea36GtQMavvNeSk+7XksAxiYznc/SFQ1sZJVCoeC8aLVCQxWtVFpFgaOxEOiSCERCVhnNQVnjUBPKznAOcD5BIshob7J8HMMpz3jg2bW3PqII8v2w2PlcJFL0YdAEJnQLujvj5V3A81n3Mez26k++SLpREzNDA7T1HAPlHqPYXnQAkdgcs35PEaAN5rpaiqTlcnGOXCzdyDthsnIPBYYwunTzKd05SUmHwyHbaIoEpjcpGfh7TkXP90FYgthMFHlL6UuXS3OiM1PqKlLYU/uqWWlLPJItRWCwkUCYjI8iBQYx6VhQDsDHaLtkYhQW4WAGJohxVxa0TdhEQEBAQEPiLoNVk6pNPPsHbb7+NiRMn4s4778Qll1wChZwG8ndHcS6d2LgUoOwUHamCbDr2sUnO1CM5ZUlOkUnuCez7BQgIBEZc7kwBbMn1zCZg3Bxgzzqex2bjCrMCLIz/5XPKUftrUpvQlTYkdG1ZrylPx8xvWpECiIinA1ZfTUctIJDkRBdCB1WrYwQvOoHOW2Q8U6Q8U4Zam0p0aCuQmc4atOoykomYjnZ1Mrt6os1C51x2YB1qePmMnFWXkgTqwph2Nngyj3MVBpFrnwqySWrrKt1tqyy2q9DZa37kaxXnMrIUn0on1N/9VBU5nVuLiT3IJBujSQ01AOx1Z2HRQEAIx6+ikNczGQHYgJoS4JD9XsKimFIq2Vg/JQs8RCYwQuEqjnF8T+vrjzwRn8qxy9xJUhcZxyhso56Ep+9YfmVsdSGiEm2qKuHPHbuTQFotzlrE7Ss47zUBgLGR5wqNIrHUBAIdOrXOTl9z2LW5rsVO/pVKILojI6gxHfn8FQouDui0QOp5tK/iNBcINB2AiFjggmuBFW8A2XtIdvuOJiHRyjVhsLc0aOM4yzLnp7OYKjvqUuD8Ofxs+cskslYLcNEtwPSbfZ/DYuJcs1oBtcT5HJsEFOfZhUpUzlTMk4f5fsl1ZiGRTM+MSXJfBBEQEBAQEPgboNVkqrCwEEuXLsXbb7+NmTNnIjk5GbfddhtuuukmxMTEnA0b/zxw9AMCnfbaCq5gF9nrEeK7uEdYxsykg/LrSjqYajVV5lL6tSxdJj6VztiWr3mdqx4ikdi3galIFjMJQ1GO/ya1TSnVucIzOjRmJgCF7xXv/EwgczdQV26PgFgBpYb3Gh5rr5HRMGoWHOlUOqwq9t3np6WpRK7KdqUnGS1Qa+koWoxATSXPDwA2BQUacg/Scd62kj8X55FMmY28P6kGiIhhSuDx3d5CG/VVPE9ZvnftU1S8PcVLQQIdJa/c21MJTx6h0+0rvVKWdTc2kDjIBFChcircaTS0s66SpHTMHUDGNj5rs5Ffcv8xq43PQh3A8ZCd98AQICrOSd5dSYQ2kDLe/hzw5iCne5afdtZ5jZjBiFXpKeCHt5leWpLH57R+KRv4NtTSNqWKET2tjmIuNqu93s1ea2Q0kDxk7aGcvs3WtIJla5C+zr7I0IU2dO3P5yALaHRIZkTP1AjASmIXEgFkZvFeAaYIdu5LEp25014nCEZEu/Qn+TUZeV8aTbMdB/xCjoDqa0gui3N5jUGTGXEqzuF1PnvSfVFHRr+xQFQiUHOQqcmBIUzHTUpjnZjNyi+THlAEcU5Vl9L+nIOMFtZWsC7vbEjsCwgICAgI/IHRajIVHByM22+/Hbfffjt++eUXvPXWW3jsscewcOFCXHnllbjzzjsxZMiQs2HrHx9uzUlPsSfLySN0CrP2AD+8Y5dfHu2MPqWeR/JjswKGRsqoj5nZMmekOIf9pRqq6Swd2gJAAUTHM70uKJQr5b5qfQB3ee7mmra6RocOb+NxmgDvtDuZdGXuopMvRy2jO5Lc6ELpeMUmc1zUGqeKWO5BO/ExuacntkSlTL5u7iGOvS6YTrlRTzvLCrifUm2XaNcAvUfRQc7aCxzcwlqexgbarFAAUNFGUyOQc4iy9W7EVGLUrbaCkZ7eo9xt6zeWUQi5MaqjFkzBVfzugxmB8RWF3LyM0SGH0pvd05YkOq9Ws5MYKtW8xw6dgAlXkbh7SYorGRHsP4HpWSYjHWaAinTy/Di+x34/Kkb1Vr8P9Du/7c5xbEcSxvxMpwT4oS2sBauvtAu1qDmPastpl0LJ+9WFs06sz2hg6wqmL8r3LMuKB4fzeepCmL4YHN66dFVf0db8TH6ZGjmf5Dke38UZRYvtyP1zDpAwh0bRPrmnWYdkzqujO4HKAmfNIMBIcVUpo1bVZZyjWl3TTbabg9XMsVSA41l2mosTFQV2JUct57a/huBmgz1qCz6HDklsJ1BbzvNJ4GJPZBxJotFAe02NwOnjJLLZe/l8Rd2UgICAgMDfCGek5jdx4kRMnDgRp0+fxty5c/Hpp5/i008/xZAhQ/Doo4/i4osvbi87/zxwTRmqKgZ++QJI7EKnTF9PcuMaeSnNp7NiMTJqoFa33Bk8vofnS+lLoYvV7zP9KKwDazYsZq6W+6r1aa08t2t0SE73SRvmTLsD3JvGhkQ6ewEBXJ0PDmfvqfoaSnJHxQNTbyAJKM1nrVRyT0bqaj4ngbn+KeeYNuVkymSv+yDgdCbtC40k2bFZnfVZkp2cKMB7T+lDx7YgCw55dkliBEghkUyFRgPlB4GMLR79mOz1VVYLCciO74C0IU5nNTmN8vaeJDA+lc9fjnz4cj4LsuyRJVfJeC0dZrMRDnKlVFHNLjCYYxjbkTVFe9a576fRAondGB3p3Idz02YlqXOdHz0GMyJVXeaU2N+63CnM0BrIAhyVxfbI2UxuX/0eUy7lsZbsKZByFE0mHUZ7f7bpN5OM7l7Hz7P2AnlHuE94DAlpQy3HwjM6KEcrAWdvLtfPmpL2j07g3AgOJxkvO02Z/PpqvlddBzKyZmzgHLBa2NPs8HZurypxplK6PkdjA/DTYj776AQ+hwET266m2G8s0G0wFzBMBr5zsUmMHIVGk0RZTBwfuZ5MTuWMjAN+W+0txBIcybEOibQLUdjtt5hYrzdmJmuq8g7zXZNsjM7GJouolICAgIDA3wpnRKYMBgP+97//YdGiRThw4AB69+6NOXPm4Pvvv8dll12GBQsW4LHHHmsvW/8ccHXeegwhITi+m1GZPqPpYKX2ZfoPQEeo+yCm4yhAB6ilK7s9BtsJShYdYLXaWVd0/uV0bPxFclojzw24R4ckG9Pi5LQ7yeYucW02sq7CauaXUk3i1Lk3G8iqtXRWoSCRkkmlRmtPV6plpCVzJ/sH9RhCAiLb7Su10LWnVEAQoDBwtTxQB1isjIAZDYw4BYbQ6awpB3Iz7LVMLs6uUsWGyjaLi3iCjRGIkEgn2Y1PpVNdmO1MSfPs1+WLBPpKr/SMkHTsznNaZbuUdiXEenuansppn0bFGqovnmUqVnCE/Rg7kVJpgfgU4MK5/H3rN0BRA4kZJCBzj7MR8NBpwPR/AT9/4ozK7d/Ie2ttLYwsbKAJYDpkeQGfucXCZ21s4FhqAhgJ0+qotChJduU+LeeUa9PiiA7si1R8EuhyHklsWCyJTUEWyTjgnvJ56giv23OYe+82z2jrqnf4XsZ25LUb9XyH6qqA7xcxSmOwC6rYrKwbMho4lwODAVMUrxsVT/VElcaukuljbAz1JJQxHTmHygvaroaXnAbc/hqjZnJdXmS8XRjFPsYqNYlnZjo/X/4yx65RD1ga7U2E7ZBsJLIWC4mjWg0otByb8tPArjV8XwN07oTf1Ajs+J41nIJQCQgICAj8TdAmMnXixAksWrQIS5YsQW1tLaZNm4YXX3wRF1xwAQDg8ccfx8MPP4w333zz70WmZCnrzJ0AFECnXkyxaahhGs3BzVyNztpLJ15uvNp7NCM1NitX8FsKOQKStZeOWGa6k+D0Hdu0Q+Oo7zpBIuVPntsVnsRAJgNQuAtEJKcxOqSvtTv+oDMXl8K0Orno3mpmSt7Wb5zKewmdgdoyOqD6emD7tySjcg8fueGxp2Mvk72ty2lPZAdg7wYgJJwOo7GBNmgDuZJus9IBrqvkuV2hDaTjGRRKUnVgIx1Hk4GOZWm+Mx1r5nw+88IT3L84z1shUCZKkOAQo5DJQclJ7uNKFmbfC4y7Avh5Kc8r9xLrM5pNkE8cIJGSYTTYzw86trJghQyrifMrpiOvX19NoQZbAyOm+cd5fz2HUUWyLN8pMx4Y7ExLbVMtjGRPmZR4rYNbgOpi2qnVAb1HMrKavY/RpcYGpr1JEm2K6OBOerZ/yzljsr9P3QYAHbrTVoBpdVl7aHd9DdMyA4PsPa88erfJBPzwNqAoFzh1DMAyILGrU7GusphjH5vEYxUK1iYFBFGu3mbjvZkaSQpT+7I278Q+Z42UK1EH+AyUSp5H3Znvf3R88+9sU5DfTTnatnMV30GjwUlWuw3iOGZs49+kyDhGtD1rzBRKillYrbyvkHBGp8pO0e74FD7LpB6c8/XVPIfGHln/C9RMffjhh7j55psRHByM+vp6t8/27t2L+++/H7/99hvUajUmTpyIl156CV26eKtyvvnmm1i0aBFyc3ORmJiI66+/Hg8//DA0sgqngICAgMCfHq0mU9OmTcP69esRHByMefPm4a677kLXrl299rv44ovx/PPPt4uRfxoc2grkHXL2aZHT3yJi6eAqlVyprq1gRKixgY5rfTWjJMMvan2qz9BpTlLV7/ym64pc0ZI6JH9wjRSUnCQhdBWIGDIFOL6Xq9gSSFzqq3isJsCpqBcQxHMUneC4VBYB6EbCmX+cvKOyCOg5nMRNofDdHNcVEXF0frP2kTwNnca0ytoKIERBpzA0hPZYzIwy9BsDGFx6bak0zpSl2irW4hgNJCCAu3T70Gl00pc8xntRaUjoZMfYVaa9vIBpdWoNry2TlKy9dPoj45w1WUOmsKHzildpk9kEQAKuf5qpo1u/YRRKqXRK4ksSAKWTjLgiQMd5KdlIruQ0P5no6uvoIGftpa1mE+elqdFbEKSl6DeWjYLLT3Ocf/uBz0FfR+deoaRTL/fwUqtop9XCOaLSsH/XlHlO0lNR6JRIl1NjB11IglBbwUjJaXvKWpf+HLNGPRAgefdukyOEG7+0qyCCKot5GSRjM+e79xwz2WXMbTanIIYMi5n3svdnRqWMDUyVs1ntghkuz0OlYu1gQhdeJ2s3UNbBd3+1lsKhRnnaPtcK+fwAjolaw2hx2jC2aji20xkpdIOC72hQGOeRyeCyj8S/Y+lr+WzUap4r/zivFdep5eI5f2AUFBTgvvvuQ2JiImpqatw+O3bsGMaPH48BAwbg66+/RmNjIx5//HGMHTsW+/fvR2xsrGPfZ555Bo899hgefPBBTJ48Genp6Xj00UdRUFCA999///e+LQEBAQGBs4RWk6kTJ07g1Vdfxbx58xASEuJ3v759+2Ljxo1nZNyfCvmZdHCrSuhohUZSXAJgmpHFwm0qtTO1LqYjnbDug+igZ+/jKn1rnRHXFDG5CWdL4CsFram+NK4Om2skSqH0Tcze/689MhBMmXSFgk5wo4J1MTXlJCUN1RyPqAQ6x6l9uSoen0JHPnsfiY0C/hX9XOWha8spSKBUMiVJsjoL9DUBwMAL2JerpoIO4ISrgaoy4NhvtEUWbygvsJM/E6AIcKYG9p/oTuhik+22a5jS2FDrLeseGU8xku6D6awb7dGymGTW5RTn0Nl1VfcbdwVrnzJ3kWDsXU/HuPcYCmxYTIxQyX28LBYnSVGqSbYAp1z/sXQg7yDHIUAHJHQj8aiz1y+Z7eleaq2zL5ck8Xm0pQdVchowdR5rnXIPkUSFRHB8rVa2DK8q4fW6DWSKWKOe+1QVk4Qc20VFQDnqWFZA0mK0N8XN2s2xi4gjmTI1MhWzsojPKCCIaaJpQ4CxV3hHDLettI9BlVM5MSbJLoeuJMGpKCb5sMr90cDopc3mJK0KBevMZEKt0jAq7attRHA4MOwinnvnqpZL/vuDa+2XWsvxqa1wkmconKl+Y2Y6F182f81FA7UWOH2M+2gDOefNJs6hiFi+k5JEkY3SU/wssgOv26UfMO0GzmuFsvULM39A3HrrrTj//PMRFRWF5cuXu332+OOPIyAgAKtWrUJYGAVcBg8ejO7du+Oll17C//3f/wEAKioq8PTTT+Pmm2/Gs88+CwAYP348zGYzHn30Udxzzz3o3bv373tjAgICAgJnBa0mU8ePH2/RfqGhoRg3blyrDfrT4tBWNhINCKIj1mMocBP/sWLLMq5ul56mhLMuhCkygy5ko8/8TK7gD5nc+lQff0X0LWnW2dJzeX6m1pIUHd5Ghz5zF50oVyLnGrFprKdzHBrNpqV1Vc5Gp3t/5njEJttXuzUUSGjU81ppw1kbExnPWhZ/Dptcn2O1kEyF2gvnjXZCoVIBKecxSpJ7CAgKASb9gw52cS5JlOz4ShLtkJ1nWVwAYNqXa6QmP5P3GRVPdTp4RkAkEqCqEjrReYcZzVPYo2QqNR1ak5FOv1HvrMlKTqOTemK/PRJjBrL3M33NbLQ7vRKJXHwKn/WRHRy3oFDehzaASoqBwcCu1SQZfUYxMqdS0SZDPSWxLWbWf8mpi8W5tC9rLwlLWwQo1i7mPGnUczyNBjvZU9rtC6QNO1dxH3MjUGUgYVGp4YjoJKdRBCNjGxXqJFB4Q6lmVKTXSO5rtfJZmRr5jp0+bo+gnvK2T+5HVlduj5xKHFNTI3tyybWAx3Y5BTLkaJTRwHo/i4nz22x0SrbbbBz3xG6cV0W57pFCq4XEPLYjn+ve9d5Rs9bANQ1yzzqSKZUSMLsQOfndKi8AFt0N7N/A8a2vot3qANoyZAoXQKISWJPZfTCPWf8Ja9JCovg3zGjgdTJ3k+BGxPEd/pPjs88+w+bNm3HkyBE8+uijbp9ZLBasWrUK1113nYNIAUDnzp0xYcIErFy50kGm1q5di8bGRsybN8/tHPPmzcMjjzyCb7/9VpApAQEBgb8IzkiAQsADFgsdK5vVudqfnEYnecsyNvO0mrkCrgkAjvxKB1at5Qp+Wxqkeja0zdhKJ3HvT1ydVmvpHDd37vxM2ugq3e66Uu55nR5DWL9SnMtjcg+5F/cDoHqeXa2toZpOY+fejMDAzPQ5m42kIiaJDqnFTAd3zEznyvq2ld49nnzC7rBaLaw1sphJGNRaOsiVRfbnZAQKiilEMfYKHlec60yLguRcpTc0uF/CYmJEcfa9/F0mmBIY6VHaUxFlQrttJY9Rq+molp4kGejUixGqmgpgwARuLzzBKJCrUz10CrDpC9Y8SRKJYn0l702uvenSn855Qy2/bDZGSVQqICqFTnRDrTMCWpwHJPfmeJbkMnJnsfKes/YAid2d42izsq7GU1ijJSjOJZlp1HMMJAkIjwb0KhI4hdIuNqLlIkREPCMkkfG839AoRmrl9De5Rq2xnqllxgbeY2CYXdjlPM4bOTWvNJ/3Lve4cp3Pch+v4hx3GfmgcI7L4MkkCXkZQGiEvWmvinM2KJzjHhzGOZS910mkZMSlUomy7DTwwf32JssSz9FlAKM75QXO7L+GOqdwTWtJq2vtV3mBUyRDqaSAiUrNvzsWM3t5ZaY7/+5YTbQhIIjnOrqTdgaGkICOvYJ/O2I6cg7UV/N8smpgx+5cHJCVRJt9R/+4KC0txT333IPnn38eSUlJXp+fOHECBoMB5513ntdn5513HtavX4/GxkYEBgYiIyMDANCvXz+3/RISEhATE+P43BeMRiOMRqPj99pazzYHAgICAgJ/JLSaTKWmpkLhK3UFgFKpREREBIYOHYr58+ejV69eZ2zgnwb9xrJwPS8DiOvorJlKTqOzY9Q7a4UgAVVFdEjOv4IOUGt647jCVbLcZOQKcnUZz6+115805wh71vX4qpHxbJwLic6q2UgSWZDlO01JVpxTqdkMNyyKTrKhlk6fXKMUHE6HUxbo6DkMmHYT6zNcSZy/VCi5PifvEB3Fzr2B43a1NYuF1x07k7VUBVlcebeY7XVtCnv6WY29r5NEezQBdifYDoW9PkkWe5AJZmAQsO9njoVSRXIZmwSHMEdyT5IYq5WfS5K9P1Eo0wzzj7EeSxNAx7Y4xxlVBABdGB1+uWGtQzDATvpOHSVpgILzTB0AqIwUkaivAjp24/2WFzgjfbkHKZRSVea8v8BgRg03/o9Kc2otSVhstHOsWuUkS1SFa2ygzZLNXqdjhyaQ45u1l4RaUcx7CIvi85Yjkq6QFwVkmfSUfs4mshEdeHzfsfzK2ErC5EsprziXYh6aQAC1cLyXhlq+p7mHSAQrCjgnwmPtipB6PpeYZEaSczPszy/AWRcIiSR13WLWe6X25X5mI9MrS/KAgF7cVldJsrdzFbCuxlmL15pxdhVfadSTiJbaxSJs4He1hvOvIAuOeSMLwSiUTnIE8O9Icpo7AfUUu6kqAVa/y7mu0borif5JBShuv/12pKWl4bbbbvP5eUUFRU6ioqK8PouKioIkSaiqqkJCQgIqKioQEBCA4OBgn/vK5/KF5557DgsXLmzjXQj83RCmBr4+z3ubgIDA74dWv3Ljxo3D5s2bUVhYiNGjRyMuLg7FxcXYvn07EhMTkZycjBUrVuCTTz7B5s2b/z4NfJPTgKsfcjbBdU0DK84Fhk4Hfnzf7sAomC6jVLW9Tsr1urPvpeO4/hM61mYjiUtDLR3khuqmHRyZFPQZw9XtARO8+wp5ClYc2sqogFLNqIMu1PseYjvaV8XtKXKRcYzOVBSytqmyiLU/HXuw2ezaxewxZbWy/qzvWG8S19Q4DZ7Mvj2Hf2WdmqkRZCcSCcmQqfz64lkqBao0zt5Mcam8N5uN0SW1lvVRVqu9r5a9hiS+C5/vqneA0BiO9aEtduU2iZerraDTOXY2bc7aC0DBVLwDm+zjoeC9zbzb/vlGjnHGr2z2HBrF61YV8/lpAhmRka8hQxtIUlZVQgVCAFApWNMSk+zsMxbfxfnsinMZ6QsO5/nkvmGyM60Lc6oMKu11bq0VoJBT/BrkVXXJex+TwZ4O15Xpjyl9uW34DI7bthX2SOUu9/RVV+XDmI68zunjJJyRcXTsB09m9DTlPKbxDZniPp/L8oGTR0n0XO2z2khE1i/l+9l7JIll2lBeL6KDs26q71hef/dalzRChVOvoSCLpK/0FFNZTQaqQxobSHgsJqYAFufaUwujuaDRFjIip0HmHGD0SBdsTzcMZBTMauG5G/UAXGq9ADvRVXDODZ3qu34zPxNY8YZzDs2aD2T0Y0Q1LJrvXUve0T8ovvnmG/zwww/Yt2+f38VCGU197vpZS/fzxEMPPYT//Oc/jt9ra2uRnPznT6EUODsIUAJXxJ1rKwQE/t5oNZmaMmUKfvvtN2RnZ7v9gT916hQmT56Myy67DEuWLMH48ePxxBNPYPXq1U2er66uDk899RT279+Pffv2oby8HE888QQWLFjQIntKS0tx//33Y9WqVdDr9ejfvz+efvppTJo0qbW3duYYOs3daQXca5Cufhg4tJmOqlJNh2f4dO/C+NZCFjpQ2yM8crQFIHlTaZp2cFwJS0JX/w1aPQUr+oyhwxgUSiLpeUxZAR3S4HCSjqQ09zGSbO41UJl7KHet1rDg/4tnOWZNqQ7K/YTktMZ8u5iALL4A2CMip4EljwIjZ5Jg6uuBgkzgu7fofEd3dKrs2axAZSEJosnA39Ua1sgEh5O4bF7GbeExPJ/RwLGW7OIOcv8omeju+YmOs9XKei65Aa9CyfE+cYBOrLGR0vCp/UiyTI2sRSk6QccYChJlwN6jKdDe08tC4iXfb4dOwLQb3WvwXMcuogP31wQyEqPR0ik2GYDCLDrbIRG8fmAw0+dam+JXlk8HXaUloTEb3fdRq4FOfex9vaKd4hEykfLVUNoz3XT3OpJni4lRrgZ7DVDeYUYMzXaJ+Pxj7tHZqhI+v+SeHFu1hs+7qoR22mwkTcd2sW6osojvratE/56f7KRtGFMnOfgkWo16HlNbyWdmkwCzmddS2OsF+47hnFGquP/R3zgOnlLlrYEEzq/wGD5LQwPfBX0dEJ3IRYzoZKaKypFhGcYG//Wbm5cBh7fyXsrzSda1AYys5xzgODTV1+4PjPr6etxxxx246667kJiYiOrqagCAycS5U11dDY1Gg+joaADwGVWqrKyEQqFAREQEACA6OhqNjY3Q6/UICgry2nfw4MF+7QkICEBAQEA73JmAgICAwO+BVpOpZ555BgsWLPBaKevUqRMef/xxPPXUU5g7dy7+/e9/45577mn2fBUVFXj//ffRv39/XHbZZfjwww9bbIvRaMSkSZNQXV2N119/HR06dMCiRYswdepU/Pzzz+dGAMOVcHimqI29nA0t376HdRb6WiDnoL1u5wwh941qbCCpMOqd6nJyulhTSBtGJ7GlAhjJaawJaVZaXUFn3Wblarfcn8nX/lHxjI40VAONBuDXFRy/217zrVIopyfmHqLjGp/K/V0lqwE4og4nj3LV3miPAlQWA4pSEhG5tkd2Lm1Wp3iFJFEqes79PP+W5XRUJYnOanAEHXCzlkRgzv3OtCj5XmM60vFXq+2KaEan6EByGp3R8tO+FQxrKwDdebSnKNfeI8pKZ7++0r3hKhT8vfS08/q+nt2YmUBcZ0YFj+8GErsAeUcA2Guwcg7yemExnEetTUONT6X9lYVw1ODI8u4ACURMEmXpU/pyLOVI1LYVfE4+G0pLHDs5FVWSnP3MrGZGwpQqPsfqcqc9menu/b96DOYcqCpmip7NSmEFeVwlGxDWgcS4oZpfgyaTQJkbafvhX7mYUHSCdXiuzyBAR1J36jDQqSdJjFrlbBXQqAcObeOCStcBJFIpfWl7eQH/drRGPAbgokL5aaYN5h+z9yfTAqoYnrOqhHZFx5NEyuqVUJCoBwRxnk64yrvGsrbc2bvMZl+cUGudz+FMemSdY5SXl6OkpAQvv/wyXn75Za/PIyMjcemll2L58uXQ6XQ4dOiQ1z6HDh1Ct27dEBjI9glyrdShQ4cwfPhwx37FxcUoLy9H3759z9LdCAgICAj83mg1mcrOzkZ4eLjPzyIjI5GXlwcASElJgV6v97mfKzp37oyqqiooFAqUl5e3ikx99NFHyMjIwPbt2zFy5EgAwIQJE9C/f3/cf//92LlzZ4vPdVbgK0VNVo4LjaQj6NlItK1wTcMrPQX8/AkjQ0Y9UHCcpMNXLUb6GmdqYmiUMxurpYSqqf1iO/I+G+t57651ZL4g150d30NH0GxXCvRsgitDjlLIwgqnjtpT6OSbUJCcqdSMOhjqmJpXcchOuuzpdqFR9t5MHhEBq5X1Jgq78pxC4YwiZe5kLY02gBGc0Aja0bkf78MVcspbWT5tOW88kNSdEQ+5/iq2oz3qVeqMDMR05DOUSW5xDqN1eUdI5oLDmS7mmkKngF10o4lX2zVVTq0lqTpml6hXKBldS0ihA66vJZlqbbREJtsZW1lHmL6O5EKOGAboSCi2fkOFvlGXktSkDWOqaUgEnffIOGDMLI5TcY6LoIeWhLCsgJFRi5n260IYdTQ02MVP7HVqjQ0kG7LTL6tNrnyD5zXq4aibUqooLhESTsJdX8V5VV/NaFdlEcmRZGV9lyzT7oDEuRYQTFLbuS/V7tLX8l0wWalsGRJB6XGjnsROqeJc3POT/+bUTT3TPT/x/So8wfOqNFRuLC8ABk/h/I3owKhlXArTU79+kSRSbY+ElBdwjD1rLMOiSaLkhYrDOzhvImJbH7X8gyE+Pt5nG4/nn38emzdvxpo1axATEwO1Wo2LL74YK1aswAsvvIDQ0FAAzMrYuHEj/v3vfzuOnTp1KgIDA7FkyRI3MrVkyRIoFApcdtllZ/2+BAQEBAR+H7SaTHXu3BlLlizBtGne6nAff/wxOnXqBIARJ1+Fup5oLj+9KaxcuRJpaWkOIgUAarUa//znP/Hwww+joKAAHTt2bPP5W4OSkhI8+eSTCAoKgk6ng06n489lgQiq1kAXFAvdoRMIqi+HrjEIQYXZ0ClsCApJgC4gEmFWK1Qq1ZkZ4Uluvn6RjqfJ6GwG69ln5/PngJMZTK86dZQrzm0pgveE7LDrQhjVCQlvuu5Gri0bdCGdwcpCwGKjUyqnr3lCJqvlBVSnK8pmFEeSSIIiYkmiasvpBAYGUWBArQVltEHCZDbSRqXSWfukVJNsSQB3dBnjqfOAmESmE5YXUP1wzzogYzuQe9h7/DYvY/qiAvYeQOUkFjkH6TTLqWMySZg6j87skseczYP7jnWmSG5ZRiVFQwOjJI16RhZUajrkmgAgpY//JrCeqXIRHZx9hWQVw859WT8Um+Qu194ayPMxP5NNnEtPkmCo1UCHFCr3WcysoWuoYURFTjVNG+pMj81MB3audqo99hnj7G/Wb6wz3VQXyudYepLkRxtIAhQQyOece9BjUcEu2OGIZEokjhEx7CWmr+F8ioxj5LK2HKhTOSOWNhvT+5Qq9+igJsCpJGls4HUTu5NsF+cxFTE+heIZrqqVCiXnztYVHPfW1E8V57LhcEgE52R5Aefzr6VA39FMx/M8T3Iar7N7nftc9iUi4VAztI+V2cB0P32Nu6jInxCBgYEYP3681/YlS5ZApVK5fbZw4UIMHToUM2bMwIMPPuho2hsTE4N7773XsV9UVBQeffRRPPbYY4iKinI07V2wYAFuuukmIYsuICAg8BdCq8nUfffdh1tuuQWnT5/GFVdcgbi4OJSUlODrr7/Gzp07HZ3dN27ceNbFJzIyMjB2rLfDKEvXHj582C+Zam/52dLSUrz99tttOHIz8NZw/PLLL5gwYYLXp1VVVZgxY4Y7QXP57ratsRY6Yx10AVoE7VsHXXEJzgtTIaYs3yNVCnRwf3ibRMpoYARCF+JbRrop+OtnJTvsg6fYRS0m+q/F8lQTtFmcn1msdKbl9EBXuEXj8hm1kaz2iATs6ncN7MukAJ3twGA6y6X5XI0PCgD6nQ8Mm07p9szddMC1WiqtqbUcH00AIxLpa9yjOmFRTklqub4JcI5ffiaw41tGN2xWMGrRYFdVg1MqPiCIRFImCYe2Mvql1ZFYytG55DR7ncpBnkNhJ09y416z2Z5O18QihWfENLYTiabeSkKn1fH+6itpd89hbRMVkOcGJKYxmuzEpWN3EqO8Q86IlyxtnjbUKYdfXepCoEZznNVa90iva7qpZGOd2W+reFxZPqXYVXYVvk697D2n8njNPT/x/sxmsIOwxPGUJD5PlYaRx4Is2m21AjYTUxbrKmlDYAjna0UhFy0U4H4qNY8JCAJ6j2LaXWo/pvrG+OmXlp8JfPMaa9ZOZ3JuyT3cmnsX41M5NnVVjFhWlzL91GTg8/T3fDznsj8RiR6DOR5yqh/AaJ/Vyuf4N0HPnj2xadMmPPDAA5g9ezbUajUmTpyIl156CbGxsW77PvLIIwgNDcWiRYvw0ksvIT4+Hg8++CAeeeSRc2S9gICAgMDZQKvJ1M033wxJkrBgwQI3xaH4+Hi8++67uPHGGwHwH8nZLqL1F/2St/2e8rMGg+GMjvcsUpZRV1eH7du3t/m8K0eE4rJBXajo5tJjx/LViwh98GPoFBKCVIBOCQRp6qDb+Rl0QcEI2lYNXeQHJGpWI3Q2I4Ki46CLS0JQUBCmTJmCvoZ8d/VC+4p/VlYWAqwB0KlDEXRsD3RxXaD0R6QAJ/GKjAdOHuHqek2Z3XkzMwVtyWN0mn0RquQ04LOnGJGQVcpsVrtimtm+o8IpDx0cAWjL6XzHpwDdBvPzKfOAqTdye/paYPNXjPqotXTO13wE7FnP3+UV/BEzSAQa9YyulOSxDkZ2Rg9tJXGTpcFVGrsMtZKO756faHNUvLskfWk+HH26PIlRcS6d2pBwqhbq7PVIJiN/VmudtvirmXIV9QB47eO7KEShDXASmOx9JDltadjrSpBjkoCwWKBTGpsyr//EXVFOreEYDJniXmvoSqASujojOa4EQ/5+aCuFHkLCgcoSkqdBF1KcpDAHOLzdSQzlMRw6lSmIGg3HT6XmWEZ2YH1a98EkaHWVzpTHqARGnWKTqJhoqGVUr6qYkUKr1Um0ImJJpMoL+Bwb9f6jvnIKcLg99c9QD/zyhZ8ebj6e6cz59rTFPEalLGbaI0fkxsyEQ0XSl5jHiBn+RSSGTgNGzwJ++dR9u9XMdgO+Fjv+5FiyZAmWLFnitX3w4MH4+eefW3SO+fPnY/78+e1smYCAE2UmoMNm922l44BY7bmxpy348ccfcdFFFzl+V6lUSEpKwqxZs/Dkk08iJCTkHFrXctTX1+PRRx/F119/jcrKSvTs2RMPPvggrrrqqmaP3bRpk88FdQDYsWMHRowYAaB1om35+fm45ZZbsG3bNnTs2BHPP/88Lr30Urd9li1bhltvvRXHjh3zWhCSYbVakZCQgIceesgtnVnAiVaRKavVihMnTmDOnDm4+eabkZmZiYqKCkRHRyMtLc0tZS8uLq7djfWFP4r8bEvqw5qCTud79fhMSZqucw+SkPguzqL24lzoy4vQaJXQCKBKDgQZbEBtLYBa4ERRk+eNVpjQN3+NM0WwtsIRPRkwYIDXeGgf/sR/VE1hQ1BFPnQWA65JUmNahI7pYBajXQxAAjJ34ofXnoI1vgt0CZ0Q1DkNupoSBDVUQBeghW7NZwgy26BTAholACiAyAT2CVIqGOGyWpz1NdGJJBN5h1n/EhRK8jD3KRpsNNCprK2wq/lpnTVucvpWSj9nKt2JAyRzKjWjXzIqi5nWJadH2aysNRl1KbDzR9pUXcooCgCMv9LplPYcxuvFJvE6cqSnLJ8pXTmH6Lg32iM+ko0OeICOkUhfdU6ukUSZVEDiNUvzgMRurLmrKnH2r8o92Hpn2ZMgRyXwPNXFPJehnkSjrorjGZ/KaGJ+pre6pCuBks/teU9LHnPWsSkVJG6R8byuWssUu7J8Rsjk+4joQLKX0ps1TJnpjPJVFTP1TVY6lGvT1FqmDg6dSkJYXcoxPr6H509fw4a+JgOjNil9SXCy9gL7NzoJeMZW39FcSEyBNJt4HxYT5+GxJuoGXRHfBRhzOWuhasucjYQ79eJ9rnyD9yfXYnlGKJsTkZj0D2D7Chc5eTAi2lwtpICAgEAT2Lt3LwC2KEhMTERDQwP+97//4dVXX0V1dTU+/vjjc2xhyzBr1iykp6fj+eefR48ePfD555/j6quvhs1mwz/+8Y8WnePZZ5/1IlWugjWtEW2bO3cujEYjli9fjk2bNmHOnDk4cuQIunbtCgCoqanB3Xff7TOy7ootW7agrKwMs2bNatE9/B3RKjIlSRJ69+6NH374AdOmTUPPnj3Pll0tQnR0tF+ZWsB3c0UZ7S0/Gx8fj1v/eRX0lWUwKDQwNDZCX3QKhvIi6I0mGKzkKnqzFQYroPfwc/2RqTMlaUGz/00ny1WifcxMGKQzq8/SleaxRslipmR0SDiw5ydIfcb4JIAmkwkmk8khO+wPQ6f9C9OunkUHcu1HTK0z1APmRtz63tcobDA3eTwAqBWATiUhSJMPnRLQqVW4tV8i5l82EwiNZaSisojRJsmGN04YUWFtQFD2JuiqX2Oa5NE90HXsCl19I4KUNuhqS6GzmRFk0UOnVkBXXYOgiddCm9SDpF1W4/OVJummticxMtZjCCMlpzPtKWE2poptW8G0w+Q0EjtPmX050iOLJQTZhTXgUtNiMTGK4ikkIEeL5LQuWSmwvIDEoeSUM6oRGUdSkNSd+7TWWZYd9aITTDPL3sfz6UJ5raAQoFrFSFoYJaex6UtnvZkvOXxX+13FGYpzmYpnNlKpERLQbxyd/qpi3l9DDUmRJDkXFcbMJMFo1AOF2SROuhDaGxhEW8sL7NsCabdSRYXDzHTnOGq0vI6s6hgYQiGVmfNdWgGcZJStoRpY9S73dYnmOlLu1FoqK2q0QPZ++2OWvMfXE7KQTEWRvdGw2Sk3X5zHe7eYKfAh10RJNhLvtCEta88Qn8r2Btl7ndtsVi56lOb/JaNTAgICZx979+5FYGAgLr30Ukft+IQJE7Bx40b88MMP59i6luHHH3/E+vXrHQQK4D2cPHkS//3vf3HllVe2qC6+e/fujiiUL7RUtE2v12PTpk349ddfMXLkSEyePBnLly/H+vXrHWTqgQceQFpaGubNm9ekTcuXL8eQIUPQuXPnZu1vCr5aRfxV0CoypVarER8fD5vNx4r3OUC/fv38ytQC+F3lZ3sGK/DOoFCg2mBvtloPhFQAKTYg2j4BNVrW41QVQ5IAow3QB0XAMOdhxKX6li9PSkrCu+++C4PBAIPBAL1e7/bdbVtVBQz1tdBbbDA0GmGor0NIUSawJYeKarKjr1DC0HMUgLb/kdKZ6hlVUQfQeU89DzCbYMzPgtQS58/fedMGM9VLkoAN/2P6lMkAIBAGk6XZ4wHAIgF1FqDOIgsLWFHZcyzl1ot3M+olS14DePc0cLTBBqAM2P2uy5n2wj8MwHd34JZrtuDdz76kEELmLo6vvebkgQcewNFN66DLB4IUTKXUKSUEleyH7vDjCOrYBbraKOiqixEkmaCLjkBQTgl0P69B3HgtUlNdBEXk1Dc50pPckwIAkoWRHW0w081UatYA6eu8RUdc07r2/MSoX3wqzxehZUqYQsEBDAzhvjkHeT+lp4Af7X+0+7VABts1lXDXj8DPn/G9qCxizdAF11JxsrqcdUv11UCs/e9KSZ53k11P+w9vA7YuZx0eJEaOqu2pmxot69DShnG8QiIZoaooAla/T2KR0IWf11exOXNtBdMbA4OAhGEkYgVZPM5mAzR1nOfBEbyer/Q4yeYUY/Ds7zVmJmv6ivI4n2WC7No/qyiHNVZFuc6G2I16Rr38iYkAJDEr36DEvUwoAwIZmerUk3WL1WXAiX1M5wyNYlR05w/cJzic6YwteaYPfQ48cRl7tClVTKssPUU1zfYQrhEQEPjbYc+ePejVq5cb2VAqlYiNjUVjY+M5tKzlWLlyJUJCQnDFFe6tbubNm4d//OMf2LlzJ0aNGnXG12mpaJvJZIIkSQgOdmbKhISEOMZz+/bt+OSTT7B///4mzyNJElauXIn58+dj69atOP/8890Io4xPPvkEc+fOxa5duzB06FAsWLAACxcuxJ49e/Dss89iw4YNCAwMRFFR01lPf1a0umbqqquuwieffOKW33quMHPmTNx+++3YuXOnQ37WYrHgs88+w/Dhw5GYmPj7GePq6G3/jk6S3AC2thzoch4ABR03XSgUjXoEBmgR2L0vMP4Sv1LWsbGxuOWWW1pni2va068fMe3JbKZKXvdBQFwKEiISseuenTCcOAh9eQkMNgX0qgAYlAEw1NVAHxoLQ0UJ9B26wNChCwwmE/RQw6DQQF9ZhkR9Ca9lNdIBLMwGIjvA0HiGaYlFWVxl3/CFvXms3PdJgt7adpIWVF8G5OU6CWWnXqyrgQ0Ga7OH+7f3yFaSjH5jneRBsgHFudi2YT227zngfdCpCuBABYDdHh+c5tdX+zBnzg589dVXzo9cIj037jPgp9W/Mj1SFwid1QadshZBCht0ShN0WjWC1IXQxVih069A0Np0plU21iK1yIhpOODsYVVVTGe6rgpVFsCiDkCQxQBdWT6UAUFMZ6ssBla/Z5dhVzD9sLkaHsBZz1aazwiarJ4nN3hVa1knVVVs7/tV5C2U4gp5DGTBj/0bGfFJG2ZvUttIEqRSkVSOmcnj6qucvdc0Ac7zd+jE81SXMTUzMp7krPsgNpAGaKNaQ/Kd0IW2RiW0Lj0O4L1bLBxrm73Bclxnpy1l+VzwqK90CljEJFGdcOzlTZ9frv/S6nivKruUfWQccMF1rPOTUyCjE/i3Zs8hPtfOvTkGWXvde0v5E5ZJTgMmXgN8+ay9HlFi1C8wiLVdLUlHFBAQELCjoqICp06d8lLULCkpweHDhx11+GcCSZJgtbbsH726qbYiTSAjIwO9evXyOl4WRMvIyGgRmbrjjjtw1VVXISgoCCNHjsRjjz2GMWPGtNqeiIgI9OzZEy+//DJee+01bN68GQcOHMCoUaNgNpvxr3/9Cw899BB69OjR5Hm2b9+OoqIiXH755ejevTsGDhyIRYsWeZGpt956C0OHDsXQoUPdts+aNQtXXXUVbr31VjQ0eLYR+eug1bNmwIAB+OqrrzBx4kTMmjULCQkJXky5tXmVa9asQUNDA+rq6gAAR44cwfLlywEA06dPR1BQEG688UYsXboUJ06ccIQab7jhBixatAhXXHEFnn/+eXTo0AFvv/02MjMzW1wg3G6IT+WK+N71dFa0AQDsfW5iOwFXP8z9vniOdTDKKqYPBZ5hYaUvp0euq9HqAGs9oxTB4UyXqykDDm1FQGxHDL3wImDyRXRid60h0cjYBlSYAGs1EK0FOocCKfHuK87pa4FlLwKGUDpSVnuxfF0FIjd8DNOJQzDEdIIh+xAMK9+CvqIEhsBwGEZfAX1ojDOidjoHhh2rYaitgd4KGBr16Hfoe+DEN7TZpeZHMhnQIwjQKzQwmK3QK7UwWG0wGk3eY+IDuuITgMquutYhmbU69kw5wxkEWnUNFcC6j52r8nEpwNLHgLLT0BfkNnu8PwRJHumMLpGe4u2P4XRWOrfX+/rjZOZX7kkg/X23T6aMG4Np/7rHPTJir/u57/Hn8HGOnFZajQAloFNtgk6pQJBaAZ1GhSC1CrpN6xC0Jg+6+GRH3Vu3bt1w//33+7yXo4GJyFd3gq6+EkGx3aCLHwjdoX0IyjoKnVmPIKUEtS6EKn+uQimekMdg63L3GqSqYpI1uRdYbCdGkBRKEjmtnQidPs6ojEzaIuNJWDQBnMdBoYy0rFtsF6GId/b7klXvErqSPPUd67thtev7CDh/dm1i7JoG6EjxW8GIlUIJqEAyVV8FJPVoOioF8Nyh0YD5EFM0JRugCWKtHRSsVWtsYBS5scFeQzaQNX75maxd6z7I/R7klFK11pmuKH8WFc/WAOUFrBGTJGDvBhLOPT/9qRv4CggI/L6Q66V69+4Ni8UCs9mMgwcP4u6778aUKVPw7LPPNnn8tGnTcO211zZZk7R582a/4g6eyM3NRUpKSovtl1FRUYEuXbp4bW+JIBoAhIeH4+6778b48eMRHR2N7OxsvPjiixg/fjxWr16NKVOmtNqmjz76CJdffjmioqKgVCrx6KOPYtiwYXj66achSRIeeOCBZs+xfPly9OvXD927dwdAUZ158+Zh//79GDBgAAAgPT0d6enpWLp0qdfxc+fObVextz8qWk2mrrvuOgBAQUEBNm3a5PW5QqFo8QqAjNtuuw0nT550/L5s2TIsW7YMgHNiW61WWK1WtxSygIAAbNiwAffffz/uuusu6PV6DBgwAGvWrMG4ceNae2tnDtm0sFiulFeW0EG7+iE6I/mZdNDKC1hnoIxgkX9bV3P91ZC4Om6SRCenvoZkrzgX+H4RHbeYJHu601CSray9TBOK7kiBhcBgYNBk774z8amMdJUXOFenATqip7Og+e07aMbORtig0UBsjG+nEyApq9sFdLkA2PEdUFFvTwWrZJPT2nLHrgqFAgcnhtCm4HDgtleBodNgzTuCxr0bYTCaoE8dAENkItMeN3wF/Y8fMd1RqcGA5FBg6Ghg3y9MS6ouc5C1y2KBCmihT+gBQ2gsDDWV0BfkwaBvgMEqkehZbDD4iIwFaVTudVKl+az30gTAoK9v/TO1Q6ev8t5oj/ToNc+3/byRMUyhcz0nAAydBsMnPwM5Tlkoo41f1ZAAowTABhK1RqAgHUC6Y9/hw4f7JVMf/fgLXl661f7bYeBd74UOteoQdLpsBH28z02kJDU11fG3wGHv2NlAyUls37wRW3NLELTlkD2FMgxB6gjoagMQpNNBd/gYdOk/IqioFDpYEaQLhy4kGprEblDMnM9apsxdJA0WE+fWrtWcHx17MA10yGTulzaMpC0y3mmH53z2VZPm2nxXbmIMuBMOObIUbpfsBxgNS+jSNLl0HRO5Zk+jZWpm71FMw8s7xLkp9wqLjifJqiohsdQEUIylrMBZ81ScyzGpqyLxXPkGxwBwkixjIyPSKpU9FdLKa7amrYKAgMDfHnv2MAvgwQcfxIMPPujYfuGFF+Krr76CRqNp8vjdu3fjlVdeaXKfwYMHIz09vcl9ZDSX0WSxuJcbqFQqR0ChrYJoADBw4EAMHDjQ8fvYsWMxc+ZM9OvXD/fff3+byNSoUaNw6tQp5OTkID4+HuHh4cjKysKzzz6Ln376CWq1Gk888QQWL14Mk8mE2bNn46WXXkJgYKDjHCtWrMANN9zg+P3qq6/GAw88gEWLFuGDDz4AALz55puIjY3FlVde6WXD5Zdf3mq7/4xoNZny1Sn+TJGXl9fsPv5kauPi4nyy4d8dskPUbSBJyfCLSFJkEpGfyWardZVMraksYrqPsg3NUF2v6Vq7ITsxro1lIQGFecC+n5zNRhM0dAy7D6ZjVJZP261me8PWPqzfCInw3XdGdt6y98BBpCQba6j0NayfKDnpJHf+HCtXNbGgUKBaQydUqWTNR3A4IwYAIw5qDZ3b8Vc5yKnq0wUIztyJYNf0s7SBgKUEKE2n81t0gnUzWXtI0Cwmt6jXu70BBKiB4b14fHEuRQJiOlI4oWN34OAmSFYrGitLYAiOhd5khiGlPyJCg93qpOgMM0Ly315hKOl5PgzhCdDnZ8NgMsOgUDMip9dDbzTDUFfNSJssUGJTwGCVEOwZmXLBmYiSNFX8aQiKbPN5/QmoAC2z12K1oa6+AXUekbb66krvne0Rqg17H8Djm7Z6fw4A2A9glY/tJ6FSqRD/aQZOnz7t3qds5yogXI31v6Xjw81FCNKooNvxGIJCw6CzmRBkqocuKBi64GAEjZgGXZ8R7sqUOfugO3II3VJToTh1xL13mL86MMAZWTp1lOTGZmU0LTzWSWL8pd3JkGv2ik5wLhoNJGNQ8J0Oi2KKcee+wISrgI1f8u9Bt0G8b9foqtyzqrKIRMliJgmsLHbWdRn1/LtjNrJHW+kp9/dAQEBAoAXYu3cvVCoVtm7dCo1Gg4qKCrzwwgtYv349PvjgA9x+++2OfS0WCxYsWICPP/4YQUFBePrpp6HX65GW1vTiTUhIiCOK0hyaSvPLy8tDqkd9+8aNGx3RpLYKovlDREQEZsyY4aibb+r/rD9oNBq38bn11ltx7bXXYsyYMfjoo4+wePFibNiwASEhIZg6dapb26Bdu3bh1KlTboQoICAAt9xyC15++WW8+OKLMJvN+Prrr/Gf//zHp6hbQkJCq23+M6LVZOqcRHz+DJAdkJ2r4EitOf8KJ5Fa/jK3lRewPiQynmShY/fm03iauqZr7YbsxMjKYLLym8XMCFVMItPcCrKYhnjyiLOWJbknU3X01Vy1Dg4Hpt7AuhJfUaW0wXT4ZPlllQrQhfFcJqO3+IEvuDXdPUVBAn09FcPOv5zO3Pdvc4VcE8B76NjDmXJ0aCtX3hVKjn3ZaafsNCSmZFWXOpvBrn6PhE9l7zeltNhTw5QkjmWnaYs8ruUFlLceMxMwGqDIPQRdQA10SjOiOkQDc++1K7XlOceoOIdjpq/HjRdN8t0bKz+TxxxLB757k8p7Vou9+a6SKV4pStaOudax2LFo0SKUl5d7i5AUnYK+vAgGlQ4Gjc6nWEmvXr38Pg59ZZn/Z9UMmiJp+lNZbT9vY63fhs36FqZ4ekKOcjsgSUBsR86hg9txrF7C18USAAuQXwyg2OVoe7R07RH/57/0KFchE7q6vZs//vgj/v3vf/tuvl15GkFFJugsNgSZDdBpzNAd346g2qeg69IXQQd+xiVJOgTEJHiJPFgsFhijkqCb9W8oy05xoUCWki/OAXZ8z8UTpYq/r1vMGrK6KipKQuEeXR0yxdmzymJmBGvPTzymKJepghYTUHCcqZbn2wuu/UWgBQQEBPxg79696N27N0aOHOnYNnz4cCQlJeHDDz90I1MPPPAADh8+jH379sFisWD06NHo378/lM0sSrdXml9iYqJXhEsmKv369cMXX3wBi8XiRsjOVBBNzsZqqfBEU1iyZAmOHDmCb775BgBLbK644gpHCt+NN96ITz/91EGmvvnmG/To0cPL9ttuuw3PP/88Pv74YzQ2NsJiseDWW2/1ec32sPvPgLZV2oH69L/99hvKy8sxffp0REa2fVX7LwHXVBtPeWw5bcZsYpG8Ss3UP39EpTXX9CUh7dnjJ7knUF1i75kkcVXZ1MhoTUA805F2riKRkaxA14FMA6wuZUqQ3NfHzU4FPzPbi/6hAKwmILRD80ICnvcAAFu/cQoSyDUa+ZlAxnbg8FZGzcKjnbUd+ZlOB09fR1KY0IXb5NQq1/5ExbkkiPGpjMR16gn0Hk3CUlPKAFtsknMcx8xkhLH7IKe89ap32H8osRtJpELpHnlzlbeOimd00F/TXFmYIUDHlX59LeXC66vpDJ866kyv8jjHkCFDvM8pE3ZtAxARDMy+s9Xz6pv5V6GhRyP0HXvBkH0A+qhOMNRWQ390NwxWGwySisIkwy6GPqazG5HzS9LyMxFWfBwJgUqKnFhtMLVCSESnkHyT8vxMGPKzW3V/bufVqL3TZKMTAF0o9AFGALVtOm+ASgGlZAOMRv4tGHMZZccBlO/6BcePH2/hmSy0Yf//HFuqFt2PgJJMr/HYtGkTLrzwQl4/IMCbrNXqoTPYEBQaAt2RIwhSH4MuvhOC6hugiw7FvYP6I8YzqjR0GupD43Dg103QNVRBd2w7grr2ha6kGDqdBkEDJkBVeooLFXLEzDV9VEBAQKAZ1NTUICcnx0uaOyIiArNmzcKnn36KnJwcdOnSBYWFhfjggw+QnZ2NDh06AABGjx6NiIiIZq/TXml+Wq3W9/9fUBDtgw8+wDfffOOW7rZ06VIkJiY6RNJag6qqKqxatQoDBgxwS71rC8rLy3Hffffh7bffdoyZJEluohD19fVupTTffPMN5syZ43WuhIQEXHHFFXj77bdhMplw8cUXo1OnTmdk358dbSJTTz31FJ5//nkYDAYoFAqkp6cjMjISkyZNwoUXXuiW9/q3gg95bADuaTPhsYyKKBR0mrcsA3oM9hmBaBE80+jyMxlhcfS+CeeKdJ+xQFWRPZVIS8nloDBGqOJTmMKjUlM+OnsvnfyfP2W6W2wSG9S6rYhLTBuSG3hazUCjheQm9byW1XrIkMlfnzFUasva6yQRs+YDkR1I+OT0PvmYugrWmZiNrLFK6sH+Py4S8G4OXkJXACdI9OSamaoiZ9PeKfOckcR1izmOOQecqVblhUw7PLbLoYrodR9FJ0hiq4p5fdfncsiekiZLi/cb62zM2yGZUQCVhr9HhPKZuNbTNZXq5S/ls6XIz0TIkS0IMZQB2eW0a9CFwMrXgWgbyaZSAtJSgLta92zfmNgNbwy1q/XFJMLaazQaz5sAfS/2JNPvXAfD+v9B3yEVhpOZMHQdDH3OERhqqhAVE+ublBfnold0EKb37gR9TTUMIdEwKLXQlxSwfs4mwWBTotFo9GmWTmHlu1eUw+jK4W2MtpgMMDS2LeIFAEFqJcl8aKS9UbN9VW75yzDs3tXm8wKAruAIEJPgNR6ufd2MRiOMRqPvfm6lLpHHTLke8TRueeJnxGgtXgs7R+usGHPTvS4n+MXl5+PQqBQIen83dGoldFotfvt5LToMPHPpXwEBgb8H9u7dC0mSMGzYMK/PZs+ejU8//RQrV67Evffeiw0bNmDYsGEOIgUAZWVlLYo4hYaG+iVB7YVp06bhwgsvxG233Yba2lp069YNX3zxBdauXYvPPvvMIfu+efNmTJo0CY8//jgef/xxx/H/+Mc/0KlTJwwZMgQxMTHIysrCyy+/jJKSEq8Sl5aItnniP//5D4YPH+5GjqZMmYJ7770XI0eOREhICN544w3cdNNNAID9+/fjxIkTfmue7r77bgdBXLx4cRtH7a+DVpOpt99+GwsXLsTtt9+OadOmuUmkz5gxAytWrPj7kinPiIZrn5mZ89lnpjCHtT/rl9oLww0kPEDbCZUMzwL4CVez7keOzmz5GvjyOabhKRSMhnTpT8JxfC/VvYLCWHhvbmTEx2xmCpoEDwddQVKmUvNzgPuoNIzQteZePCWvf1tFVcExs0iOyk/zfjyPUWuZqpTQlSly2XtpY2G2M/Ijp4jJUbyMrbQzvgsJiNkEjLyEBEQmP4e2OkQkUFHIY2KSSN5CIkhyGhvgDYn2nzzCFMjMXU7Hd8ljvD+rlXNj5nyO4ZR5vK5kY1Tr2E4SWaOeam6yOhrgW2zEcwx91bg1BZmglZ0mmRg+g3ViqedRYa6qhM1qLWaS6qsfan3zXpnEKhVAVQlUW5cheOcqBE+dB5w/BxhxPnDa3gR3UF9G1YCm08biU3HLpGG4xXU85HEuP83ndf1TsHXsjsYlC2BYuQh6KKkcGd0JysQuwIGNfF6Hf+VcatQDIRE4P6YOjwxLhqH/JBjU9nTJglzosw/C0NgIg8UGvaSCISSaNW4N9TDU10FvskCnVgGhEXzOYfZIqp3oGsLiWj5uHlAoFNBedodPIn2mjb11XfsCcd62+Wq+7QqzVUKN1QxWNRqhrS46IzsEBAT+XpCV/DzltAE6+qGhofj2229x7733ory8HNHR0Y7PS0tLsXXrVjz/fNsFmdobK1aswCOPPILHH38clZWV6NmzJ7744gtcddVVjn1kmXbPfq3nnXcevvrqK7z77ruor69HVFQUxowZg08//dRrfFoi2uaKDRs2YMWKFTh8+LDb9htvvBE5OTl48MEHYTKZcPnll+ORRx4BwKhU586dMXjwYJ/3OmzYMKSkpECn02HSpEmtG6i/IFpNpt566y385z//wQsvvOCl2te9e3dkZbW9PuJPDznNq7qUAgyuKVpDp1Exa93HjJzs+4UpXSl9WcPk2eelLfCMTsQmO1PcAKDHECAkmmQpMJhiDp378TNdMB36mjJnzYVkAhQqe38hyU20AfGpQMc0Oq4O2HvOHN7mu87FH1wlr39bxUjT8d0kRYHBtKWyiGS0rIARHYBpejVl9r48Gjr8wRFARQHHdNOX3o1Ej+3iGGXuIvH1S0DsMtuywIYreYtL4bXkprGuBDMmiXVwWXspN1+aTyW408fprNsstOGL51iL4kmMyvJJ8OoqgD6jeIxr8b8sB+4ZefKX8tkUPMm3RuusE4uMtyvMxbLORhPI9EY5StdSuDXvXQNs/ooE/+QR4JcvOD6z7/Vte0vr7eRj0tfSZhfRB2VyGoL6jUTQtq8RXVsBdIwDxlzE9zOmI1BTAaT25YLCyjeAkjxM7JGMiZoA4NLRwLSbnGP19j0UXVFpgL6jnb220tcCq96FlHoezIe2AiHhDEgNu8iZrhrRATOic5A89wIYugyAvqwEhpxD0DcaYVAFwqAJgv7ILhhMZrsYiQKGiHh7A+5GSFBAUXbaKbnuguZIT3PQHdkGmPqeMUnTJTfdr0RAQEDAFffeey/uvfden58FBASgttaZbp2WlobnnnsOJ0+eRHBwMK677jpYrVb06dPn9zK3WYSEhOD111/H66+/7nef8ePHu6XSyfBUM2wKLRFtc8WkSZNQX++tLqxSqfD888/7JKTffPNNk0p8Bw8eRF5eHhYtWuTz8wULFmDBggWtsvPPjFaTqZycHL8SjaGhob7TS/4ucCUzh7d5O9uuaYBxKZRHL8hiZMq1z0tb4RmdkGzu0Yy0YUByD6fCXf5xoPgkyUt9tbPZJ+BCnGyASgvYbLRbhpyCV5TNaBvs+1stdFRbm2YmS15nbCORkuxphPXV/FwbCJw4ANS8zGiNAkwprK2k86oLZrSovooEoKGG6XzVpe61a65kU6H07cT3GwukDXdGOGQZa7kov76a15GbxrpK0id0YfNSgJGJohNMmQsKY7RPoWJdmqEO6D/BgxgpSNI6dgOyaoHiPF5/63LK7OvtyoYJXXxHnppSTvQFz/EYMcNJwAHO1doK2j7oAkapvAhkC59tchrn1O61JIVKFdBtgPP5+FO6a8l5ZfiLzg2dxsjb4V8ZJYtKILmVxWIqCkkSXaPHALD+ExIueZEjOJRtA1xTQl2uqzjyK7SlJ4ECI6PPai3Q73wH8etWkoducgSyPAuIrKLqZ3kBx/6HRtouWTlPYjRASBTQuRdtd1Xck9NRD23FFWFGjNv2M/QR8axj++Vr6NcuhaHRCL2+HobgGOirK2CwAQaFFvrYVBga6qA3GGBobETQ6kWccx7RTpvNhrCwMBgMBpjN/tUlAXvkrGvbCqwFBAQEmsPUqVMxffp09OvXD0lJSZg0aRKKi4t9KsgJnDmOHPEtsnTixAmcPHkSDz/8MBISEnD99df/vob9QdFqMhUeHo6SkhKfn+Xl5bnls/7t4Jmu5ulse66mF+e4ixy0Fp41NF7n9yQPcCrchUTScU8bRnsNdSQInpAkABKjP5XFHh8qSBjK8knIZFgtbZNHlgnLksfocOtCeG2lite2mqn6ZzaSEManMsLRaSSJVJ/RjGTVVzP9sKrEnXj4c7Y9V4mS06jC50myZCEKz6axrpL0s+9lLc66j4Gjv5EEShJw4bVA4XGmdepCSPRcSW/6Wo5j+WkSQa0OGD6dx675iCmHJiOjKDNuax/FNNfxUGsZhHO9Xzktcs9PHEtfc7o1kOf47nVA/jFG3dpTSttz/gPOcd22gvPi6G8kqGYTI4OuvZHk6PH3i5wLHbIIiJwS2mcU31nPhQU5slq7nOItkuRUh5TnhhzFqi7lO79zFVMqU/qSsMd0BBbN5/jK89dQT7KnVrsL2wDAO/cAWXsRrFYjtY89UtZnCBAXClQfYgTUrAW0ZiA2iO+w2QSosoHoIN5/g0ThDddFBzumT5+OmhoSeIvF4q4c6fGz0Wj826g2CQj86TD5LL6bP7VcUOhMoFQq/bbIEfj98NRTT+HTTz9Fr169sGzZsiaVfP9OaDWZmjRpEl544QVceumlDnURhUIBi8WCd955p02Nxf4ycHWqfDnb8j7yqjIUrV/ll+GvYa/nar2rs5xziA552hD2mNq2kp8ldAUCQxipgg2O1DaVhgTGbAa0Vkq7u6bvxaeSlKm1dvl1G1fUNQEkim25LzmKsOQxpvCpNOyRo1Qx7c5kYKpdUg9GfVRqXiulHyWaz7+C4+0qD+069p7Otr86JFdlRPn39DXA8T0kQgldvMmQTGoj4wF1ABBgIXnatgIYczl7/ETGkSgm96QTHdPRmRpqNjKdLjacUajIePujsKccqtU8pr2kp13ryPb8ROfeNfIhf8V0dPYl8pdm2FIMneZMfWtPKW3XhYUhU5zvR9EJRqFMjYwA11UyMmU1OxtouxK6fmOBbd8AJ/a791iSwOcjR7PkWjbX+TJ2NqOnmTvhULv0JIqusvtpw5lq62iNoGDPpo1fUrxCXwOExXAeR8S623poK0mdsQEwqUj8XInbmMtJyuNTgJNHgfpKRjd1wVTtDACjjroQ70UHH2OqTk5DaGgoQkNDz/xZCQgItBtCVMBbPb23CQicDQhC6xutJlNPPvkkhg4dit69e2PmzJlQKBR46623sG/fPpw6dQpff/312bDzzwPZqSo56R4BcXX2gKbFBFoCf+ptntEqOVKy6Uu7IwjKdncf7N7jaeXrjFxp7CFzm4UOJwBAsqvM5XsTw5nz+XN+JlBbRjJQcpJkyIesd4sQm0wb1RqSKK2OEaeGGkCjo0OoCSSJi0kioeqQ7LSpuVob+XM5SuBLAc+TrKYN5e8NNXTKZ99LaXs5bUveb8xMOtp1FYwqyPVVCtBhLTrBCGBuBiMzacOcNuxZRxVAfS3ve+tyYObd3imH7Qk5/dFs8j8O21by+nVV9lQ5P2mGrb1ue5FCXwsLru0Bcg7ymVUWM+J0PJ2LAMOmMwXTk3D76rFkNgGGBu9olmfd2vVPkXwB7mTLdR/P1FLP2rXkHiRzNiv3i+kIXHCtc74d2upUhlSqWSemC3XvMweQzDXqOXdjk4Ef3+f8VYCRXJUGOG8CcME13qTW32KNgIDAHwo6FXBH8rm2QkDg741Wk6lu3brh119/xX/+8x+8/fbbkCQJn3zyCSZMmID//e9/f3uteQDNR0BcHei2rvL7Slnz6VTmANu/pZiD2USRgdoKd8GLFa9xdTowmAQqIMgulmBz1k7VVzFi5CpCAThT3zK2Al/9H8mCpGAz3R/eBm73X4jZ5L117AHU7+TvXfox8vTzpxSXqC4D9m1go+COPYD8HNZX5Rzy3SS3NWMow5OsZmyjI9qxO6MAGdv4MyT3/bL2kkjFpQL5R/h5Qhc61n3HekctFXDaoNLyd20AoA0CGmoZlfCVcnimcCXdLRmH5J4Ua4jpyPlbnONfpv33gqsSoef7BImRpKoSpqJK4AKBzcborL4W2PsTo0+exFCe0yV5FMjYucpZB2lSUjwmLqXtdWue+3jOtfgunMsqjXMfuSfdkscY+bJYAI2G72xgEMkWAHz2NO9LrSXxGzHDSerShgDLXwIydpBUWszA7h+BSVe7k2d/YyrIlICAgICAgBfa1Geqd+/eWLt2LYxGIyoqKhAZGQmdTtfetv250VQERHagD2+z16rYmjyV3/P7UjNzIwBb2Qy38ASdL9nBBOhUAnScLCauXBdmA1YbIxA2u9y5LNsdGAyERrv3TnK1BSCZkuuPLGYSntao+rmez3OFHwB2fEcn3majzQDFKhQKFu0f/tW9L1NLruNPAc+TYKQNZTQgL4PX27UagIIRgeQezv0iOvCea8q4X2Awo1XyuT2jljLJythKufyGWpJesxEI7ue0qz0dWV+ku6lxUGuBX1eShFQXsxbHYqTTn9Dl3EQtfCkRuqZdblvJORISAUy9geS3wq48aTbxmMIcb1EHGa7puJm7nGS3qoQLDRZj21NZPSGP8Z6f+B4mduf9GPX2dL9a2lCaz+iwVgdoJL6LuhBG3fasZzpp1h5nRBTg+WQbM3eTpJkb4UjlbahlDZuceulvTNurrk1AQEBAQOAvBh+eccsREBCAxMREQaSag6dj3ncsHWy51mjbSmdqTmuQnOauguZ5ncoipjap1XbCpmRakEoDHNnOa8p9gDRapvhJVjuRshesqgOcK+TmRv/E79BWp0Q5JB4XFOoslm/LvU27iV/FOVRZqyoGbHZBDAfsku31NayHyTvU+uv4UpKTidbFt/G7rMoWEkmBjboa1kPVljNqI+8HBbcr7WNts7oTUM/zytetLGYtS2QcEB7NiElr6+nyM0mom5tLrpEQV+EBf+OQep6z0XRNORsdVxazH5Z8fHvY1Rq43oPFRBvThvLr+B67jPwYzukOnSjrLpNUSM7+aFYr1Rf93YPr80pO4/4pffmMs/a23/0owPFVAEgbDCT15DsZFMaFkF++YC1XSATrBg31jMyq1Yxyyim4gSFMj60q5neZBH32FPDFM842BwDnpUrNuixfYzp4svc8FRAQEPiT4dFHH0WnTp2gVqsREREBgBLl48ePb/bYvLw8KBSKP32d0Jnex7PPPotvv/22XW06m1AoFL+rNHubIlN5eXn4+uuvcfLkSa8eJwqFAh999FG7GPeXga8ISHEuiZQsSNAeaTSu15FswNrFTIurqYDDgVIquVotF9bHJJHYxXVmj6eSPDpissMZFMKIREAQlel8RabyM4Gfl/Jacp2VfJ0zXdFOXwO882+mJjbUwCHBDsBB+CDxR5sVyPi1bdEwX/CMLmoCgF4jgO3fkXQaG2hDTSWJCMDGyJKVwy1Z3GtZXM8LcA4U55BMF53g/ZlNjDx07MFztPReWlPj0toGv1HxJE4mg70xs52IlJ8Gegxt+vizVXvjqUSYe5BzpLyAhLfeo75r1xo+v/AY1gtFxgGnM1mbFKBj3aA/yPNAlnZvz3YGgLNmTe6PpVBS/bEkl+THYgKqVYxUTbuJ5GnPT4wqlZ1mWl9sMonWqSMkVIldWfslR9d+/oREUpbmV2uAiDiKopx/hfeYyos+gkQJCAj8ifHdd9/hmWeewSOPPIJp06Y5pNTffvvtc2zZ74uEhATs2LEDXbt2bdPxzz77LGbPno3LLrusfQ37i6DVZGr16tWYNWsWrFYrOnTo4KXxL+RxfcBTFAIAINEZPXmYjllbUv18wVWC2WLiNeurgOhE1hrpQtmXybWwXhZOKDlJu0yNJFsqe2RFqWDqn0rt285DW6kEaHNp4mw1U3L5TJ2x43tIMjr1Ao79BsCuamcxcyVfq6N9JiOd5Yqi1qX6tRTxqYwUnDzCWhWHErwE7F5D0hffBcjYzjG1WUk+QyO908FcCYbZXrvSZww/i0kiYakp8VbXawr+BEl8oan0Rl/oN5ZCDaez6ISHxTK9rMfg5vtDtcau1sD1HuS6psh4Pp/ug7kgMGACo3uAPSomMZKoDQSqSpnSGhjEeVRd2vw15RrDM2ln4Au+yK0kMUW0spg/11UxKgaw+faBjVywMNQzWjjlBkZPfYlfFOdyMUQdwPREpQroPRYYNNFJCGU1ytY2fhYQEBD4AyMjIwMAMH/+fLfWPb179z5XJp0TBAQEYMSIEefaDDdYrVZYLJa/RK+wVqf5PfLIIxg9ejQKCwtRWFiI3Nxct6+cnJyzYeefF7LjvOpdfnekOilYzD9gIr8rlO2bDiU7aKZGpptVldIpC40EgiMo6iAruFWXOhvYTrsJGHEJkNSdfY6UKh4Xm0RH31dkCmDKkRwpUijt+7UDse4xmGTz1FFAqeF1LLLKoIJRhR7DKNqg0Z759ZpCQx3HMyqRTjgUdFBtVjrYxblAQzWd+qBQEqVDWxlZS1/jPI9nOpVaQ0c6NJrRn4LjwKljnBctSaMDWh9tktP6AO855zkPk9PYpPb82cA/nwAuvYNEuTiv+RTV1trVGsj30G8sz11VzLlSVcLUVTlNsjiX86NTb9bbmU1cYNAGMF0vMLjlUaah04B/PNJ+REq+D6/UT4n3IdcuQuICRe5B/qzWMrVPqWL/rG0ruJucGutZ99ZzOFNHVWrO2ew9JKBrFwNLH3P+fQLa1kBZQEDgnKDcBMRucv8qN51bm/zh2LFjuPrqqxEXF4eAgAB06tQJ1113HYxGx+okMjIycOmllyIyMhKBgYEYMGAAli5d6naeTZs2QaFQ4IsvvsAjjzyCxMREhIWF4YILLkBmpvP/UUpKCh599FEAQFxcnFvql680v8LCQsyZMwehoaEIDw/HlVdeieJiz/6axO7du3HJJZcgKioKgYGBGDhwoJea9ZIlS6BQKLBx40bcdtttiImJQXR0NGbNmoXCwkKvc37++ecYOXIkQkJCEBISggEDBnhlev3888+YNGkSwsLCEBQUhNGjR2PDhg1NDzx8p/ktWLAACoUChw8fxtVXX43w8HDExcXhhhtucPQYBBgkaWhowNKlS6FQKKBQKNzGrri4GLfccguSkpKg1WqRmpqKhQsXwmKxeF3/hRdewNNPP43U1FQEBATg66+/hlarxWOPPeZl87Fjx6BQKPDGG28AAMrKynD77bejd+/eCAkJQYcOHTBx4kRs3bq12fs/22h1ZCorKwsrVqz4ezfnbQ38rczLtUrVpfwu2do3HSo5jdGm/KOM2DTWO0lOfTVTojwLzItzKFhRX80apJNHKTluMpIcpPTz7Qz3Gwuk9gcObQFMFpIvbSDQuU/b7ZchO62r36PTHhQKZO/nNl0IyUhZPgmWqREI05CEtDcObaU6n1bHsRwwiXVnNivHr/sgPtPYZKCy0FljlNCFqWeu6olylGvvejr/vUeTd9aUU+DCs6FrSwhIa6NNgO8UPMB925iZbGS71yWK2SGZUarYJKYntmcUrC3wTG+V+4sBJIUy+Th93D437SmLweFM97voFkYVXXuFNQWfkeZ2uAe3cymYrqivtUeDFXyfzCbOp972OqmqEtZV5WWwrvDqh/3X/5mNwG8/8B2qKGZ7gbJ8zlM5xbCtkcOzMSYCAgLNQgJQbvbe9kfDgQMHMGbMGMTExODJJ59E9+7dUVRUhO+//x4mkwkBAQHIzMzEqFGj0KFDB7zxxhuIjo7GZ599huuvvx4lJSW4//773c758MMPY/To0fjwww9RW1uLBx54ABdffDGOHj0KlUqFlStXYtGiRfjoo4+wdu1ahIeHIykpyad9BoMBF1xwAQoLC/Hcc8+hR48eWL16Na688kqvfTdu3IipU6di+PDhePfddxEeHo4vv/wSV155JfR6Pa6//nq3/W+66SZcdNFF+Pzzz5Gfn4///ve/+Oc//4lffvnFsc/jjz+Op556CrNmzcK9996L8PBwZGRk4OTJk459PvvsM1x33XW49NJLsXTpUmg0Grz33nuYMmUK1q1bh0mTJrXp2Vx++eW48sorceONN+LQoUN46KGHAAAff/wxAGDHjh2YOHEiJkyY4CA9YWFhAEikhg0bBqVSiccffxxdu3bFjh078PTTTyMvLw+LFy92u9Ybb7yBHj164KWXXkJYWBi6d++OGTNmYOnSpVi4cCGUSueC/eLFi6HVanHNNdcAACorKwEATzzxBOLj41FfX4+VK1di/Pjx2LBhQ7M1cCkpKQBI7NobrSZTnTt3Rn19fbsb8peFv5V5mezIKUNQnIV0KAWL14NCSToUCqDsFFATSOc9JtkpnQywt86J/XTiGhvsKnkSHU7XXk6eSE5jHUfmLq6kW8yMAOxd7xRuOBPEd6GSmlEP1FaSqJka+XtIBK+p0vA/iMVMZ/OswD4eUAAjLwYuvtU75UtWIcw9RMe1vMBZXyM7nJBoq9HANK76akZK5FofAEjuDXTyIwrhD61V/fNF9CUXqffD2zgn6qspZjL8IiD/GElk4QkS9ehEOvtNOdOu6Wauv7cnPO/dkyh26cdnUgWOe0gEMOMWYKy9XqilCxm/V/+l+FQgKQ0oz2c6okptF5zQOtNzY+zvY2E23/Oty4DqEuC2130/g75jWO9XUcRt9VWszVOg7ZHD/EwuNLiSbSFYISAg4IH//Oc/UKvV2LVrF2JjYx3bZUcZYKTEZDJh48aNSE7m37fp06ejuroaCxcuxC233ILw8HDH/r1798Znn33m+F2lUmHOnDlIT0/HiBEjMHDgQAd5Gjx4MGJiYvzat3TpUhw9ehTfffcdLrnkEgDA5MmTYTAY8MEHH7jte/vtt6NPnz745ZdfoFbTjZ4yZQrKy8vx8MMP47rrrnMjBVOnTnVEVwCSgvvvvx/FxcWIj49Hbm4unn32WVxzzTVu93PhhRc6ftbr9bj77rsxY8YMrFy50rF9+vTpGDRoEB5++GHs3LnT7/01hRtvvBH//e9/AQAXXHABsrOz8fHHH+Ojjz6CQqHAiBEjoFQqERsb65UquGDBAlRVVeHw4cOO1kiTJk2CTqfDfffdh//+979uKZWBgYFYt24dNBpn64958+Zh5cqV2LBhg+OerVYrPvvsM1x88cWIjo4GAKSlpbnVulmtVkyZMgV5eXl44403miVT8rM6G2h1mt/DDz+Ml156CXq9/mzY8+eGrzQ9f+ptcjPUzHR+h3QW0qEk1heZTayv0AYypcxiZtpfeb5TOlmWSI9KcApQdO7NFfzwGBbo71rjkarogqh4OnwKBa8VoGNxfFvV/Fwh29ZnNIUPlErWgETGAYMm82c5XU4TeObX8wW5bigsmt/7jiWBGjsbgMI9JW7aTeyvddciYPyVwCT7P4vlLwOfLgAWzWcqnzy+2kDWhYXH0P6YjkBwaMvS6M4Evoi+p7CDxWwn+xIjZWYziRVgV1ZUkDD6TGW1w2+q61lCfiYbVRflcCxzD9HOfmOpvJjal6T3H486576nuqE/tGbfM0FyGpDUg1E2dQDnfEQcyWttJa+vDWBKKRTOtNOSU/5tik1m7WGf0Ux5PP8KjsPcp9qm2ic/17UfUS6/NWmpAgICfxvo9Xps3rwZc+bMcSNSnvjll18wadIkB5GScf3110Ov12PHjh1u22XSI+O8884DALdoTkuxceNGhIaGep3zH//4h9vv2dnZOHbsmIMEWiwWx9f06dNRVFTklmrYEjvXr18Pq9WKO+64w69927dvR2VlJebOnet2TZvNhqlTpyI9PR0NDQ2tvm9/9jU2NqK0tPla4lWrVmHChAlITEx0s2vaNC4wb9682etarkQKAKZNm4b4+Hi3KNa6detQWFiIG264wW3fd999F4MGDUJgYCDUajU0Gg02bNiAo0ePNmtrdnY2srOzm92vLWg1Tdu1axdKS0vRrVs3TJgwwcEYZSgUCrz++uvtZuCfBk2tWPtamfeMCsg1S+2VDpWfyXqIqjIgIJAOZEwScOIAhS/KC0hAZEEJOe0QJwBdMOtIjHpGVQqyAX0dEK/1n9bVbyyd7mO7ALOBxCo2qX1Ioezg5x7ieQPD7JEdPclobRnT5tRaoMt5zkhbeyI5jU6n6/NpLkoR34U9iYrzgMPbGREoP83ULbX9j0lwOKNsWh2jXGoN54Za62zse7YapvpLwXNNmdu2knMlbTgwZDLTw04fY3qjza5oWFnUdFT1bIlQ+IL8TIpO8OcT+zhn9vzExrZjL2++p1hTc/Zs1oB53kfpSS5OBAQxtfTEPqb1yUqFoVEUlFAoOM+0WiCuk3+b4lMZXS47zd5ortL7LX0erhFI+bm2JS1VQEDgb4OqqipYrVa/KXYyKioqkJCQ4LU9MTHR8bkrPP1PWcjAU2W6JaioqEBcXJzX9vj4eLffS0pKAAD33Xcf7rvvPp/nKi8vb5WdZWVlANDk+MjXnT17tt99KisrERwc7PdzfziTcSwpKcEPP/zgRZBkeI6Fr+erVqtx7bXX4s0330R1dTUiIiKwZMkSJCQkYMqUKY79XnnlFdx777249dZb8dRTTyEmJgYqlQqPPfZYi8jU2USrydRbb73l+PmLL77w+vxvS6aachh9Od2+nLL2bM56aCvTtPR1TGsy1NNBDw4DSq1AWJR7E17Zsc7YSqISaxfFKD0FrH4XKG0kUYqK963ol5wG3PYajz+4hdcddGH7kMLiXKZE9hzGmq5TRwBjI9OTjA3szxQRy345Yy8/e4665/PZ8jXvt9tA935Nst1ydKTPaD4LYwOfQ2gU61e6DmDkSqEEdv3IxqvdBtBhtpiYJtlehLSl9+S5Lb6LR2PoNZyvRj0QEsVoRFSCe9NZT3t/LwICON/D5J507k1Gqi+eOkqRhtte819T1JKFjN+jBkz+e1FVzPRVi4lCE/o6IKAGgIKLI5LEvmo9h1HRsO8Y3zVTMopzSHyNhrYVVXj+HRszk99dybaQUxcQEPBAVFQUVCoVTp8+3eR+0dHRKCoq8touizU0laZ3poiOjsauXbu8tnsKUMg2PPTQQ5g1a5bPc6Wlte5voBytO336tFdUzvO6b775pl9VPl9k8GwjJiYG5513Hp555hmfn8tEWIY/xe958+bhxRdfdNSeff/997jnnnugUqkc+3z22WcYP3483nnnHbdj6+rqzvAuzhytJlM2WztJeP/V0JTD6ItoDZly9p0yq5UKYApwdb6hhk1Ni3MZDfHVhPfYLnfSJ0msVwqLAhoNFLPwp+iXnEaHLWMbVe1yDpAMtFX5zBcJjekIbPyS91KeDxTmMCrV2MBV8aaiUu1ZJJ++Blj1HvsAlZ5kbVhcCrenr2UPI7l+6/CvjPqdNx748X2OfWQcidTQabSroohk6/B2pmKptbzHs1FJ3Jpx8NUTSxfC+q7YjqzbqSgGDLXOprO+zvG7SW5LJKqHtzPapwthSmtMNJ+Hv6hYaxYy2nPRwxfkvxeD7StyulDOM7OJz0CtYSRIX8evstNA39FNE6n8TNa/FWST/NZVtj5CeLaj6QICAn9J6HQ6jBs3DsuWLcMzzzzjlxRNmjQJK1euRGFhoZsT/sknnyAoKOisSntPmDABX3/9Nb7//nu3tLfPP//cbb+0tDR0794dBw4cwLPPPtsu1548eTJUKhXeeecdjBw50uc+o0ePRkREBI4cOYI777yzXa7bGgQEBPiMVM2YMQM//vgjunbtisjIyDafv1evXhg+fDgWL14Mq9UKo9GIefPmue2jUCi8ZNQPHjyIHTt2+CWhvxfOXjXW3w1NOYxNiVCcLQfEX9pdSj8KRWgCSaZciZGrs3R4G7B1Oc8RHMEVcJuNjmpTPbHS13JFPUDH77vXtZ1MeTpvGVuB3T8BmTsBKJiOaLOSNKq1rDHxh/YWDkhfR4dUVoaLiKOj+8YddHwlKzDqMu4r9ztKTgPShniLVsg1YcNnMJqSnMbUwDNVWPOF1o6Dr55Yg6dwfqT2AyoKgV2rnQIV5QW+7T3bBES2ddtKjmVQCBAVR/EMSQIiOzgb+P7REZ/qEunrxHHe8R0VOGVp9+I8vrtJPajIp22mVlCeYyGRfD664NaPheffMckmFPwEBARahFdeeQVjxozB8OHD8eCDD6Jbt24oKSnB999/j/feew+hoaF44oknHDU4jz/+OKKiovC///0Pq1evxgsvvOAmPtHeuO666/Dqq6/iuuuuwzPPPIPu3bvjxx9/xLp167z2fe+99zBt2jRMmTIF119/PTp27IjKykocPXoUe/fuxbJly1p17ZSUFDz88MN46qmnYDAYHDLlR44cQXl5ORYuXIiQkBC8+eabmDt3LiorKzF79mx06NABZWVlOHDgAMrKyrwiNu2Jfv36YdOmTfjhhx+QkJCA0NBQpKWl4cknn8T69esxatQozJ8/H2lpaWhsbEReXh5+/PFHvPvuu82md8q44YYbcMstt6CwsBCjRo3yivDNmDEDTz31FJ544gmMGzcOmZmZePLJJ5Gamuomw+4P3bp1A4CzUjfVZjK1bt06bNq0CeXl5XjsscfQqVMnpKenIyUlpckCw780/DmMv+vKvMs1b3uNqWYFWewbNfYKOvx1VYx6eDYLlp2lw9voFO/fyEa+fUeRGMUmMb3LX2QKoIiCUmXvb6Xi722Fl/MGu+OoY/pWySk6+EoVa0oObWEKky+C0B51O64RnbAYigLYLIwUhEQwUlVZSMdWbwCO7aSEumttytBp3uRSvs/yAkbXhkwhKTgbaXGtHQdPgq3WOnti1VZRIr1zL973ua6ZkW3tM4Y2jpjBtENXufQ/i9OvAN+hU0eAo9s5381GEkPJRvEPFfg+QMHU0OUv+yfH8al8ZqeO2usOW59X7yVBv23l2Vc1FBAQ+Eugf//+2LVrF5544gk89NBDqKurQ3x8PCZOnAitlj0i09LSsH37djz88MO44447YDAY0KtXLyxevNhLbry9ERQUhF9++QV33303HnzwQSgUCkyePBlffvklRo0a5bbvhAkTsGvXLjzzzDO45557UFVVhejoaPTu3Rtz5sxp0/Vlufg333wT11xzDdRqNbp374758+c79vnnP/+JTp064YUXXsAtt9yCuro6dOjQAQMGDDjr4/P666/jjjvuwFVXXQW9Xo9x48Zh06ZNSEhIwO7du/HUU0/hxRdfxOnTpxEaGorU1FRMnTq1VdGqq666Cvfccw9Onz6NJ554wuvzRx55BHq9Hh999BFeeOEF9O7dG++++y5WrlyJTZs2NXv+lhCutkIhSVKrEon0ej0uvfRSbNiwwZH7mJ6ejkGDBuHKK69EcnIyXnrppbNi7NlEbW0twsPDUVNT49DP/9PDVxSiOBdY9iJVwKqKgTn3O5u3yjLHJzOA3AynAMKIGaxVksmgr7oT12u+czeJTlwn3zLNrb0H+boAsOQxRqaMjSy+t1kZLZEkYPBkEquLb3PeU1Nj0RblMtd6kZVvkGyGRzN1KucgJcNV6v9v777Dori6OAD/hi5dUAQUAQtgI0ZFjRXsPfYWjWKNGruJBVSwazT2RI1GjO2LXWMssWus2LFhVyxYQKp0zvfHZFeWXXAX2AbnfR4eZWZ29sxsYc7ce88VL94bdwV65tL1KqfjlBS3UEfynZ+WKclxv38JHNkAPL0jtnpaFgfcvcXxatocM6OpsuXqFnpI/IzGfxBvhKSniq1Tz+/9VzTmv69sRzfArYqYSNVoIX5WFb33JQ6sBQ7/Lo7xe/8y922ViXH/qk9JeX72hUL6/VtA+NwUES0UjyX5nHepgINswTS8bQyUNCmAmJTxjy7OasVYwVD2+1fllqmAgABcvnwZO3fuRPPmzWV23qJFCyxfvjxvEbOCF3ZGnMxTcvH05umnO9SvH4vd995GfCpVLbkQNfpvjJS0RYjEbRJjxDvkkY8VX6RKWm46jS64lgBJa59k3638xYHu0ZHiWKTHN8Q7+GbmYqtUTl258ts6qGi8yLAl4v7eRohjWL5s+l/XPzOx7LmyiZQkPkB8zU5tFwt9VFNDYqLMecg+pir79ptnAo/DxAv7zEzxvJfxEEvCK3q8phRkC7A2J6GVdPOLfi1+/qJfi/N7Zfx300DSGmrnKE44fHi9csVKqjUUu/i+f5n/Fk9NFhVRs+vXryMgIABhYWF49+4dihUrBk9PT4wYMQJ9+vSR2fbq1av48ccfceHCBRgZGaFJkyZYuHAhypUrJ7ff5cuXY+XKlXjy5AmcnZ3Rv39/TJkyJceqV4wxxvSTysnU9u3bMXPmTHTq1AkZGRky68qWLYvnz58XWHCFgrYuyiLCxTEXUS/FcS1etT9d8CTFiYnB+wjxAi38klgyOWviJekiVcpN7CqY8EGsBJjwQRzzk72rmjpbBXLad0S4OI4KEAtTfC6By8+4ndyqL0aEf7pI9fbNW1WziHCx1e32v2LpdAsbsWWw30z1JFS5tSwqOtdZqxRe+Uccb5eeLo4NS8oUJyj2aSVW/9Nm61BBjM3SdguXiyfQaZTY8pmeJs4t9fqR2FJl+N88bpa24ljB9y8/TQAdFZnzjQ7Jfgsq2dRG12U1iYmJgYuLC3r16oXSpUsjMTERmzdvRt++ffH06VMEBgYCAO7duwdfX19Ur14d27ZtQ3JyMqZNm4aGDRvi+vXrMt3bZ8+ejalTp2LSpElo0aIFQkNDERgYiJcvX2LNmjXaOlTGGGNqoHIy9e7dO1SpUkXhOgMDgzzV9y+0tHlRlr2oQc0W4nMfWCu2KqQmi9Xjyhf7b06eu7KJl6QqXuQTIOadWC3vYyxgYCS2Rih6PnXNJRT5RGxJK15K/DfrvkuU0UyimtvFY/axJBDEi1pVkujIJ+L4FwNJGVDh06THmnjPSJL+dy8+P2eUkQlgX1pskQOJrVJxUWKxEesSn8rBq3tOqZyOIb/vB03OiyWRPXaf1p/K0odfAv5aJVZLlIxFTE8Tu5NGvwbio8R1rx6ICZhjOfXcUFDnvrTI19cXvr6+MsvatWuHJ0+eYM2aNdJkatq0aTA1NcX+/fulPTJq1qyJihUrYuHChZg/fz4Acb6aWbNmYfDgwdJqX76+vkhLS0NgYCDGjBmDypUra+4AGWOMqZXKyVTp0qURFhYGPz8/uXU3b96Eu7t7gQRWKHzuokydrVbZixpIkqPoSDEpyiQgIx149fC/FitBNvECPk1++va5WBLdyglIihfvjOf0fI9viBfbku6DBXJcJE52++z2p6IZ2khUc7t4lJSF371MrCCX8EFM9JzKKRebo7vYEvj22X8LSP1zTElkPZdGJmKp+Zy6b2UtZGBiIr6Hol6JXUYj7mUrB6/B6nkFMSZO8lnUdBe23FoDXTw/Ja1Zh7cmJ4ivAZFYTfLNU3EcZG7l35lKSpQogbdv3wIQBy7v378f3377rUzXdldXV/j5+WH37t3SZOrQoUNITk6WK+vr7++PgIAA7Nmzh5MpxhgrRFROpjp37ozZs2ejYcOG8Pb2BiDWfn/27BkWL14s9wekSMvtokzdyUBOLSl2joC5jXgnOz1NHDQuqR6XNfGKfPKpa1HsezGBSfkoxlqxRs7Pd+uM2A3s4n7xjnqBHJcgduOrWFMsmvH+JXD/ivZaQBSRzOPz6LpYKS0xVow3+2S+OXHxBPrPFM9fdKT4OmmqmEP2pD9rF09FJc7LVQMeXBHL38f9N0aseCnxmGu0ELsqZi0Hrwn5aU1S9FnUZBe2z8VerSFg5yy2EEMQi65kZgBx78WKkaVcxcl9P8aKk/nq8fglbcrMzERmZiY+fPiA7du34/Dhw9JJ6h89eoSkpCTp37ysvL29ceTIESQnJ8PMzAy3bt0CIJYSzsrJyQklSpSQrs9JSkoKUlJSpL/HxcXl99AYY4ypUS41rhWbPn06nJ2dUbt2bdSqVQuCIMDf3x9Vq1aFg4MDJk2apI449ZMkwWg/TD6pyHoBJbngVsfz12opf2FWtT7gUBb4ojHQbpjYpSh7nFkHwTu6A84VxXmEhi3Oed4oF0+xNSYttWCPy9FdnPQ2OVFsFbnyD3DjhNhadfusbgyAl3SrtHMSkwoTM7HKmiqxuXiKRRy+CRT/1VQikj3pr9rwU2W20EOfCpQA4v8fh4ktlFGvxUlxE2LEEt7P7orzIRmZiAm3JpNbZVuTIsLFrq4H1n46LkWfRUWfHW3F7uIJ1P9anBsqe6twRppYMr1RV8DB9VN3Xqay4cOHw9jYGA4ODhg7diyWLVuGoUOHAhC77gGAnZ2d3OPs7OxARPjw4YN0W1NTU1hYyJeft7Ozk+4rJ3PnzoWNjY30R9uTUTLdZm4ITC8n+2Nu+PnH6ZK0tDQEBwfDzc0Npqam8PLyUrqYWf/+/SEIQo4/Fy5ckHuun3/+GdWqVUOxYsVga2uLevXq4dy5c599rjlz5mDPnj15OcQ8u3r1Kpo1awZLS0vY2tqic+fOePz4sVKPDQgIwJdffgk7OzuYmZmhXLlyGDJkCJ49eya3bX5eg4iICLRp0wbW1taoVKkS9u7dK7fN9u3bYW9vj3fv3uW4n5s3b0IQBFy7dk2p59UlKrdMWVlZ4dy5c1i6dCn+/vtvlC9fHubm5pg8eTLGjBmDYsWKqSNO/ZVT1zBtVcNy8RSLGmS/6549zuyD4FXprlbQx+XiKZbkfnBVbCG7f0WcS0gbLSA5kSR8eCS20jToLCas+jA4X1ErZk4tp5KksUYzcYxUwgcxebawFbueJX8U3y//7s597I4mjiE7SZEPyaTPXrXFz4K2K9MpE7tHLcDKTjzXqdnGpZpby3fnZSqbMmUKBg0ahLdv3+Kvv/7C999/j8TEREyYMEG6jWQ6EEWyrlN2O0UmT56McePGSX+Pi4vjhIrlyMIQCCqv7SjyZ/jw4di4cSNmzpwJHx8fHD58GKNHj0Z8fDymTJmS62OnTp2K7777Tm55+/btYWpqCh8fH+myjIwMdOrUCf/++y9+/PFH1KtXD4mJibhy5QoSExM/G+ecOXPQtWtXdOzYUeVjzAtVit4oEhMTg169eqFSpUqwsrLCnTt3MGvWLOzbtw+3b9+Gvb29dNv8vAb9+vVDSkoKduzYgZMnT6J79+64c+cOypcX35ixsbEYPXo0Fi5cmGvMO3fuhLu7O7788ksVzpJuyNOkvcWKFcOkSZO4FSo/tFkNK3vilNPYrayD4JWNUR3HFRH+aYLQrGN6nMrnnEhpuopiTglJ5JNP63VZ9vdETl3PJInH6//m00qIFSv6fXgtlus2M9de18vPFUSQFPkwKSaONZIU+KjVUvuV6T5bzEEAbEuJrU/P7gIfY8SufabFAN+egKfP52PXZrl3PVC2bFmULVsWANCmTRsAYmLTr18/6UWHolal6OhoCIIAW1tbAIC9vT2Sk5Px8eNHmJuby21bs2bNXOMwNTWFqalpfg+HMb1w+/ZtrFu3DrNnz8YPP/wAQCzYIink8t133ylsEZYoX7689KJd4tSpU3j//j0CAwNhaPipmW758uU4ePAgzp49i7p160qXt23btoCPqmAoW/QmJytXrpT53dfXF+7u7mjTpg327t2LAQMGAMjfa/Dx40ecPHkSZ8+exVdffYUWLVpgx44dOHLkiPR1mThxIjw9PT87DGjHjh3o0qXL50/MZ6SlpUEQBBgZ5SnFyROVu/mxAiK5sNF2y4WkBWL/KvHfrF26gLx1dyroLlJZL+zTU8WuTNm7TkaEf+qS9rljUpesxx16EFg8GFg3Gdgw9VMMWePUZdlbayhT7BoXdkZsJazeBDCzFBMqKQOxIMXts7JFSHSFpMhHapLYNS5rgQ9NduvLExJbASPuiQmrp484kW/FmmLhCcoUPyc5nW9tfSb0WO3atZGeno7Hjx+jfPnyKFasGMLCwuS2CwsLQ4UKFWBmZgbg01ip7NtGRkbi/fv3qFq1qvqDZ0xP7NmzB0SksGBLUlISDh06pPI+161bB0EQpMmCxNKlS9GoUSOZREpZgiAgMTERGzZskHYhzFoF9NatW/j6669RvHhxmJmZoXr16tiwYYPKzyMhKXrTpUuXHIve5IWkZShropGf1yA1NRVEJNOt2dLSEsnJyQCAc+fO4Y8//sDq1atzjevevXu4c+cOunTpAiJCxYoV0bJlS7ntEhISYGNjgxEjRgAATp48CUEQsHHjRowfPx6lS5eGqakpHj58+JkzUbA0l7axT7Q9j01W2igDrSpFY3qyt6xlPZ+etbV7TBHhwJa5wP1L4txXUS8/zYelK6/752Qv935ovdg9Lj0dsHcSW59KOItzlQEADD4VKUlPEecyK9AiJAUga5EPQHMFPpTx2VajbEVYvvATC1BE3ANObhW7+eVWPVIfPuc65sSJEzAwMEC5cuVgZGSE9u3bY9euXViwYAGsrKwAAM+fP8eJEycwduxY6eNatWoFMzMzhISEoE6dOtLlISEhEARBY12EGNMHt27dQsmSJeHo6CizXFLs5XMFW7KLjY3Fjh070LRpU5nq0hEREXj69Cnat2+PKVOmYN26dYiKioKnpyd+/PFH9OvXL9f9nj9/Hk2aNIGfnx+mTp0KANIkJzw8HPXq1YODgwOWLVsGe3t7bNq0Cf3798ebN2/w448/qnQMgGpFbz4nPT0daWlpuHfvHsaMGQMPDw907txZuj4/r4GtrS28vLywaNEiLFmyBKdOncKNGzdQr149pKWlYciQIZg8eTI8PDxyjXHnzp0oXbo06tSpA0EQMHLkSIwZMwYPHjxAxYoVpdv98ccfiIuLkyZTEpMnT8ZXX32FVatWwcDAAA4ODp89LwWJkylNyH6hpEsXNtoeL6KMz3UdzH4+BWjmmCLCxZYaQCzsIYlLEk9mJkDpwMd4sUKfLr3uypB0PQs9JHaPEwyBj1HiRfzb5+KFfeOewLWjQHy02HXO2Az4mCBOKFujju4dpy7OjaTMzRXJmLyYt2IRlttngcin4gTPFWt8vnqkPnzOtWTIkCGwtrZG7dq1UapUKbx//x7bt2/Hn3/+iR9++EF6Jzc4OBg+Pj5o164dJk2aJB2/UKJECYwfP166Pzs7OwQGBmLq1Kmws7OTTtobFBSEQYMGcVl0xrKIiopS2IXMwsICJiYmny3Ykt3WrVuRlJSEgQMHyix/+fIlAGDDhg0oU6YMVqxYARsbG/z222/o378/UlNTMXjw4Bz3W7duXRgYGKBkyZJyLVtBQUFITU3FiRMnpOMb27Rpg5iYGAQHB2Po0KGwsbFR6TiULXrj5OSU634iIyNltqlTpw5OnDgBS0tLmefKz2uwbt06dOnSBXZ2djAwMEBgYCBq166NWbNmgYgwceLEXB8PiF38OnfuLB1T6u/vj8DAQKxcuRJLliyRbrdy5Ur4+fnJfY+WL18e27dv/+zzqAsnU+qm6EJJly5stDl2SxW5XQQrarmq2lC9x5RTMYOs44rePgUEY8DcUix1rkuvuyok3eNePxKLSxiZAKb/lX9v2EWs5JcQCxgZArHvgLJeYlVDfTtObVEmyc76Ob0XChz6TUxuEz4Aj6+LY6c+vMl5bi99+ZxrwVdffYX169djw4YNiImJgaWlJb744gts3LgRffr0kW7n5eWFkydPYuLEiejatSuMjIzQpEkThYOqAwICYGVlhZUrV2LhwoVwdHTEpEmTEBAQoOnDY0wnpKeny/xuaGgovXDOT8GW7NatWwd7e3t06tRJZnlmZiYAIDk5GQcOHICrqysAoHnz5qhVqxZmzJiRazKVm+PHj6Np06ZyhWL69++PgwcP4vz582jVqpXCx0qmZJAQBEFmnFd+z02JEiUQGhqKlJQU3L17FwsWLICfnx9Onjwpk2Tl53nq1auH58+f4/Hjx3B0dISNjQ0ePHiAOXPm4J9//oGRkRGmT5+O9evXIzU1FV27dsXChQulrWqPHz/G9evXZZImKysr+Pv7IyQkBLNnz4aFhQWOHz+OO3fuYObMmXIxFMRYq/zgZErdFF0oaWvAe05diXTxbr0qcrpQVOcx5VTMQHIue08Gts4VS4iXrvipS5k+XtBKused3g6c2yOWRJdMKhwVKU7aa2QMpCWLBRJ6TVG9cElR9rn56LJ+Zl08/5vEV/g0ia+RCeDsATTqknvXRX3/nKuJv7+/0vMj1qxZE0ePHlVq21GjRmHUqFH5CY2xz4pOAxqGyi474wPYGWsnHkWePn0q0+UOELvR+vr6wt7eHtevX5d7TGJiIlJTU3MtPpHdzZs3cfnyZYwePVquiIukiIyXl5c0kQLERKFly5aYO3cu3r59m6fuYVFRUQpbiJydnaXrczJgwACZsVWNGzfGyZMnVSp6kxsjIyPUqlULAFC/fn20atUK7u7umDdvHpYuXQoABfIaGBsbw9Pz09+X7777Dn379kWDBg2wbt06rF+/HseOHYOlpSVatWqFuXPnIjg4GIDYKuXg4IAGDRrI7HPkyJFYsWIFNm/ejCFDhmDFihUoU6YMvv76a7nn/1wLnbpxMqV2JA52v31W9q6xpi9sdGmcljpo+nxKWmuiXwEQZIsZADlXQlQ2Tl2rvObiKc5/1aib7JijsDPixbylqTheyrfHp3nIdCFudSnI1yenJDunz2y1hmJL6JMwwKo4UKuVOGaqpEvhPueMMTkZBNxJlF+mS5ydnREaKpvxSS68q1Wrhv/973+IjIyUGbMjKeCiSsGWdevWAQAGDRokt04yjY8i9N+NKYPs8/gpyd7eHq9fv5Zb/urVKwBi61BOgoKC8P3330t/l4zHVKXojSrKlCkDZ2dn3L9/X7qsIF8DQBwfeufOHezcuRMAcPDgQXTr1k069mngwIHYuHGjNJnauXMnOnbsKNMiBwAVKlRA69atsXLlSrRu3Rr79u1DcHCw3HaA6i2YBU2pZGrGjBlK71AQBOngvCJPUtI7PVW84GzQiQtNFBbKFDPIa4Kna4mvotYRicjH4nxaSfGAl4+YbGmbuhNRdbw+it4rOX1mXTzFLqW3zogTWEfcE79fKFPhrhljTJtMTEykrSPZff311wgMDMSGDRtkxtaEhISgWLFiOXaPyy4lJQWbNm1C7dq1FV78GxkZ4euvv8aOHTvw9OlTuLm5ARATqUOHDqF8+fK5Jj2AOG1BUlKS3PKmTZti9+7dePXqlbQ1ChCLJZibm+daPdDNzU0aS/Z4lS16o4qHDx/ixYsX6NChg3RZQb0GAPD+/XtMmDABv/zyi7TljIhk5vFKSEiQJrAREREIDQ1V2HUPAEaPHo0WLVqgX79+MDQ0zHNXTHVTKpkKCgqS+V0QBOmJyLpMgpOp/0guhqo0+K8wghYr0evreB1dpux8XarSpcRXMjbsXYTY8tF/pmzLyb+7xS5+xR2BGs21P6+WJhJRdb0+2d8/uX1mJe+9EqU/Tayt6YmSGWMsn6pUqYKBAwdi+vTpMDQ0hI+PD/755x+sWbMGs2bNkuliNmPGDMyYMQPHjh1D48aNZfazZ88eREdHK2yVkpg5cyYOHjyIVq1aISgoCNbW1li7di1u3LiBbdu2fTbWatWq4eTJk/jrr7/g5OQEKysreHp6Yvr06di/fz/8/Pwwbdo02NnZYfPmzfj777+xYMEClYtPSChb9AYQk6/GjRvj2LFjAMQuj2PHjkXXrl1Rrlw5GBgYICwsDIsXL4a9vb3MZOSqvAafM27cONSpUwfdu3eXLmvZsiXGjx+Pr776CpaWlli2bJn0ddq5cydsbW3h5+encH/NmzdH5cqVceLECfTp00fjVfqUpVQylXVw3IMHD9C6dWsMHDgQvXv3hqOjIyIjI7F582b8/vvvOHjwoNqC1Tu6lMDo63idnOhaN7iCvIjXpfdN2BmxyIZJMbFLo6QlLvKJOE5McrPg3B5g2wLApgTgVk17rWmaSETV8frk9P757GdWAIxNxekAtJ14M8ZYHvzyyy8oXbo0li9fjsjISLi5uWHp0qUYOXKkzHaZmZnIyMiQu5kPiF38LCws0LNnzxyfp3z58jhz5gwmTZqEIUOGIC0tDdWrV8e+ffvQrl27z8a5dOlSjBgxAj179sTHjx+l45s8PT1x7tw5TJkyBSNGjEBSUhIqVaqE9evXo3///iqfDwlVit5kZGQgIyND+nupUqXg7OyMRYsW4fXr10hPT0eZMmXQrl07TJkyRa5YhrKvQW6OHTuGXbt24fbt2zLLBw4ciMePH2PSpElITU1Fly5dpMV4du7ciQ4dOsDYOOdBft27d5frDqlrBFL0rsxFmzZtULduXUybNk1uXXBwMC5cuKCXCVVcXBxsbGwQGxsrM0FavkWEF54ERlfk1lqiLaGHxAlRJRfx7YeJhUbySlfeNwfWAltmiRfsaSlA60FiWfSYt2LXMgHi70/CxDmoilkCLh5A36D8HX9eaaqLZEG/Pnl9/+hal9A8Utv3byHA56aIaJG3MR/vUgGHU7LL3jYGSpoUQEzK+EfHBmgxvREZGYnSpUtjz549aN++fY7b1apVC4IgyI270wRlv39VLkBx5swZueZFifr162PhwoWq7rJw0+cKWrrW+iOhqLVE2/Hl1FqR13OoK+8bSbGDdy/EIhvFHYH7lz9d9NdtJ74eEeFiee7EWHFeLXXO7ZXb+dRUC2xBvz55be0qbC3OjDHGigRHR0eZ1rSs4uLicOvWLezfvx9XrlzB7t27NRydalROpkxNTXH58mU0bdpUbt3ly5dhYqKp2yFMrXT+jrekNLSWKrgoKsqQ/aJW589hNooSFUmxA8lxAUD4Jdk5vUqUFhOqqBcABMDENIcnKID4lDmfupKIqiI/SZE+Hi9jjDGWg6tXr8LPzw/29vaYPn06OnbsqO2QcqVyMtWpUycEBwfD0tISvXv3RvHixfHhwwds3rwZM2bMwDfffKOOOJmm6VIRhOyyt5ZUbajZ58/pol6u0p0On8PscktUsh9Xg07Ag6vidpFPxKIHX7UHjmwQu/nFvldPa6E+nc+8+FxSpKstxYwVFXnsiscYU42vr6/CsXG6SuVk6ueff8ajR48wcuRIjBo1CkZGRkhPTwcRoVGjRvj555/VESfTNF0qgpBd9tYSTV9YKntRr8vnMDtlj0lSwe/1I3FuoxJlxPnTPrwRK8olJwGGRkB0ZMHHqE/ns6DpWysnY4wxVkSonExZWVnh+PHjOHToEE6cOIHo6GjY29vDz88PLVq00PrEWayA6PpYDG12bVL2ol7Xz2FWyh5T2Bng6S3A2l4cH1WxJnDvIvDiPpCWLE7ca24DPLkpJgAFeczaPp/abBmKfCImsMUdxX8LW6scY4wxpqdUTqYkWrVqpdJEXkwP8VgMxZS5qM964a2NqnaqUvaYrvwDRL0E3jwTC058eCMmUJmZQDFrICkOMDQEHocB+38F2g0r+IRKG+9JTbcMySVuJLYEPrsDWNjwBL2MMcaYjshzMnX48GGcPHkS79+/x9SpU1G2bFmEhobCzc1Nrv49Y4VObhf1kgvv14/E8uGdRgE+rfP2PJpsDflcohL5BEhPBeq0Ax5eA2q3ATx9gHuXxDmmkuLE7eKjxVarI2/EsVW9Juf9+HWFJsdrKUrcIIhdKivWFBNYbU4AzhhjjDEplZOpjx8/4uuvv8axY8ekXfqGDRuGsmXLYuHChXBxceHy6LqGB65rlqRLVvwHIPo1sHuZWKRBlXMfES52qbv6D5CWqhvjZCRdAd+/BNyqAo26ifHUagm8fACc3gZkpAOZGWJLVVKCmHjk5fh1jSbHaylK3BzdxbFpkgSdW6YYY4wxnaDy7c2AgABcvnwZO3fuRGxsrEy1jRYtWuDo0aMFGiDLJ8ld7v2rxH8jwrUdUeHn6C5e8Ea/BuycxMIMb54q/3jJa3ZondjqU6K0eHGtyj7UQdIVsP0w+cSuWiPAyl4sPgEAICAjTUyqEmO0H3t+5XbsBU1R4ubiKVZRNDIR30//7ubPMmOMMaYDVG6Z2r59O2bOnIlOnTrJTbZVtmxZPH/+vMCCYwWgsJeT1kUunmLXvt3LxAtfp3KqtWRIXrOKNYCL+8UudW5VdaN6XU5dAas1BMp5A2GnAQiAgQFgYCj+a2GrG7Hnl6bGa+U4fk0AjE0Bz9r8WWaMAQDMDIDhZeSXMcY0R+Vk6t27d6hSpYrCdQYGBkhKSsp3UKwAFeVy0trk01rs2paXynNZu9N51gFqtRDn0tLlC2cXT6ByfbEljQCkpYgFKty9xcRSl2LXh26vihK33D7L+nBMjLECZ2UErKyk7SgYK9pUTqZKly6NsLAw+Pn5ya27efMm3N3dCyQwvaSLFzTaLiddlOW1JUNfXzM7R8DETOzqZ2QMfPU10GuKbsWvSlU+Xfs85/S+4DmoGGOMMa1ROZnq3LkzZs+ejYYNG8Lb2xsAIAgCnj17hsWLF8Pf37/Ag9QLunxBwyXO9Y8+vmYlSwMmpkBCEmBtB/j11L1jUGVyYl38PCt6X3BXXsYYY0xrVO5ZO336dDg7O6N27dqoVasWBEGAv78/qlatCgcHB0yaNEnlIBISEjBmzBg4OzvDzMwM1atXx//+9z+lHnvixAk0b94cDg4OsLS0hLe3N5YtWyY3nkvtsl7Q6EKxgJxEhAOhh3jwOlMDQWzFqVIfMLcWuynqGmW7verL5xngrryMMcaYFqncMmVlZYVz585h6dKl+Pvvv1G+fHmYm5tj8uTJGDNmDIoVK6ZyEJ07d0ZoaCjmzZsHDw8PbNmyBb169UJmZiZ69+6d4+OOHj2Kli1bolGjRvjtt99gYWGBffv2YfTo0Xj06BGWLl2qcix5pg8XNLp6t50VDo7uYkW/8ItAejpw5A+xEqEuzTGlbBdKffg8S+hrt1DGGGOsEBAoa21zLThw4ADatm0rTaAkWrRogdu3b+P58+cwNDRU+Ng+ffpgx44diIqKgoWFhXR5y5YtceHCBcTGxiodR1xcHGxsbBAbGwtra+u8HUxEuG5f0IQeEkukS7oDtR8mzhHEtEfXxuXk14G1wL6V4gS+8R8AtyrA2LWaP7aCOK+6/nkuRArk+7eQ4nOjQ1oI2o5A9/yj1UtIxtRK2e9flbv5zZgxAzt37lS47uXLl5gxY4ZK+9u9ezcsLS3RrVs3meX+/v549eoVLl68mONjjY2NYWJiItcaZmtrCzMzM5XiKBCSCUx19cJLn+62FwWFcQ6wag0Bc0sg6jWQngo8vQOc3q7ZGArqvCrzeeZus4wxLYpJA3wvy/7EpGk7KsaKFpWTqaCgIHTv3h3Tpk2TW/fixQsEBwertL9bt26hUqVKMDKS7XEoKW5x69atHB/73XffITU1FaNGjcKrV68QExODjRs3Yvfu3fjxxx9zfd6UlBTExcXJ/BR6mpx4lH2ePo3LUZaLJ1ChBmBoCFAmkJoEXPlHs8mGps5rYUyGGWN6JY2AUx9kf9K4sYgxjcrT1G7ffPMNZs+eDX9//3wXeoiKioKdnZ3ccsmyqKioHB9bp04dHD9+HLt370bp0qVRvHhx+Pv7Y/bs2Rg/fnyuzzt37lzY2NhIf1xcXPJ1HHpD11vPipLC2FIYES62SgmG4oTF1vaAkYlmE0VNnVdtJcPcGsYYY4zpDJULUADA999/j/bt2+Pbb7/F69evsWPHDlhaWuY5CEHIuR9ybuuuXLmCTp06oU6dOli9ejUsLCxw/PhxBAYGIjk5GVOnTs3xsZMnT8a4ceOkv8fFxaknoSpsY2JYwdG3wgHKvJcjnwDvIsQJe1M+ij/WdppNFDV1XrWRDHMRGcYYY0yn5CmZAoBu3brBwcEBnTp1QqNGjXDgwIE87cfe3l5h61N0dDQAKGy1khgxYgRKlSqF3bt3S4tU+Pn5wcDAAEFBQfjmm29Qrlw5hY81NTWFqalpnmJWGl/4sM/Rl/mklH4vE/D+hVh8wtRc3LZmC80foybOqzaSYZ5TijHGGNMpeermJ9G4cWOcOXMG7969w1dffYU7d+6ovI9q1arh7t27SE9Pl1keFhYGAKhatWqOj71+/Tpq1qwpV+3Px8cHmZmZuHv3rsrxFKjCOCaGFU1Kv5cFwMoOsCoOGBiISUbVhhoMVMM03W22MHYNZYwxxvRYvpIpAKhSpQrOnz8PS0tLDBkyROXHd+rUCQkJCXIVAjds2ABnZ2fUqVMnx8c6Ozvj8uXLcuO2zp8/DwAoU6aMyvEUKL7wYTnRt3EvSr+XCUhLAVKTASLApqQmoyz8uIgMY4wxplNU7ubXr18/lCwpe4FUpkwZnD17Fr169VK5dap169Zo3rw5hg0bhri4OFSoUAFbt27FoUOHsGnTJmmr08CBA7FhwwY8evQIrq6uAICxY8di1KhRaN++PYYOHQpzc3McO3YMixYtQrNmzfDFF1+oengFS9/GxDDN0Mfun0q/lwXAsrg4VirmLXD5EJCWDPSbqfvHqC/0pWsoY4wxVgSonEytX79e4XJra2v8/fffeQpi165dCAgIwLRp0xAdHQ0vLy9s3boVPXv2lG6TkZGBjIwMZJ1jeOTIkShdujQWL16MQYMGISkpCW5ubpg+fTrGjh2bp1gKHF/4sOyFG/R13Isy72VHd8DSFngRDhibAqYWwLsX+nOMjDHGGGMqEChrdlKE8SzzTC0UtUIB+tcylV1ulf1CDwJb5wCvHgNGxoBXbW6ZYrni79+c8bnRIS1yri6sLe9SAYdTssveNgZKmmgogH/4EpIVXsp+/yrVMtWkSRP88ssv8PLyQpMmTXLdVhAEHDt2TLVomW7j8u55p6gVqlZL/e7++bluij6tAcdywF+/AG+eATWa698xsiLj+PHj2LRpE86dO4eIiAjY2tqiVq1amDZtGmrWrCmz7dWrV/Hjjz/iwoULMDIyQpMmTbBw4UKFVWOXL1+OlStX4smTJ3B2dkb//v0xZcoUGBsba+rQGGOMaYBSBSiyNl5lZmaCiHL8yczMVFuwTI1yKogguXDev0r8V18KJuiKnAo36PPkycpU9ot8DFw+DNy7KL5vQg9qPEzGlPHrr7/i6dOnGD16NA4cOIClS5fi7du3qFu3Lo4fPy7d7t69e/D19UVqaiq2bduG33//Hffv30fDhg3x7t07mX3Onj0bo0ePRufOnXH48GEMHz4cc+bMwYgRIzR9eIwxxtRMqZapEydOSP9/8uRJdcXCtCW3lgZ9Hd+jKwpjERJlKvvdvwIkxgKlKwIvHwAProotVuwTbvHVCStXroSDg4PMslatWqFChQqYM2eOtDfGtGnTYGpqiv3790u7e9SsWRMVK1bEwoULMX/+fABAVFQUZs2ahcGDB2POnDkAAF9fX6SlpSEwMBBjxoxB5cqVNXiEjDHG1CnfpdFZIZBbSwOXd88/fW6FUkSZ8tweNQELGzGRsrABKtbQfJy6jFt8dUb2RAoALC0tUblyZURERAAA0tPTsX//fnTp0kWm37yrqyv8/Pywe/du6bJDhw4hOTkZ/v7+Mvv09/cHEWHPnj3qORDGGGNaoXI1P1YI5ZYwFcaWFZZ/n6vsJ2mFenBVTKS4VUoWt/jqtNjYWFy9elXaKvXo0SMkJSXB29tbbltvb28cOXIEycnJMDMzw61btwCIE9Jn5eTkhBIlSkjXM8YYKxyUSqYMDAwgCMpVsREEAenp6fkKimnY5xImLu/O8sKnNSdROeEWX502YsQIJCYmIiAgAIDYdQ8A7Ozs5La1s7MDEeHDhw9wcnJCVFQUTE1NYWFhoXBbyb5ykpKSgpSUFOnvcXFx+TkUVsiZCEBXB/lljDHNUSqZmjZtmtLJFNNTnDBpBo+TYQC3+OqwqVOnYvPmzVi+fLlcNb/c/g5mXafsdorMnTsXwcHBSkbLijobY2D7F1oMQJ3l4rnsOtMTSiVTQUFBag6DsSLgcyXFCwNOFpXHNzB0TnBwMGbNmoXZs2fj+++/ly63t7cHAIWtStHR0RAEAba2ttJtk5OT8fHjR5ibm8ttmz1By27y5MkYN26c9Pe4uDi4uLjk9ZAYY4ypGRegYExTlCkprs+4qALTY8HBwQgKCkJQUBCmTJkis658+fIoVqwYwsLC5B4XFhaGChUqwMzMDMCnsVLZt42MjMT79+9RtWrVXOMwNTWFtbW1zA9jjDHdlecCFLdu3cLdu3eRlJQkt+7bb7/NV1CMFUqFfZwMF1VgemrmzJkICgpCYGAgpk+fLrfeyMgI7du3x65du7BgwQJYWVkBAJ4/f44TJ05g7Nix0m1btWoFMzMzhISEoE6dOtLlISEhEAQBHTt2VPvxMMYY0xyVk6mPHz+iQ4cOOH78OARBkE7om7UfOCdTjClQ2MfJFPZkkRVKixYtwrRp09CqVSu0bdsWFy5ckFlft25dAGLLlY+PD9q1a4dJkyYhOTkZ06ZNQ4kSJTB+/Hjp9nZ2dggMDMTUqVNhZ2eHFi1aIDQ0FEFBQRg0aBDPMcUYY4WMysnUzJkz8fTpU5w6dQqNGzfGrl27YGVlhVWrViEsLAx//vmnOuJkrHAozONkCnuyyAqlv/76C4A4P9ShQ4fk1ktuGHp5eeHkyZOYOHEiunbtCiMjIzRp0gQLFy5EyZIlZR4TEBAAKysrrFy5EgsXLoSjoyMmTZokrQ7IGGOs8BBI8pdCSZUrV8bYsWMxYMAAGBsb4/Lly6hRQ5yQs3fv3rC2tsaqVavUEqw6xcXFwcbGBrGxsdxHnbHsIsKBsDPi/6s1FBMlLjbBCgh//+aMz40OUWflujyKTQMG3ZFdtrayWOVP73E1P6Zlyn7/qtwy9fTpU3h5ecHQ0BCCIODjx4/Sdd988w0GDhyol8lUgeCLS1YYRYQDIVOB8IsABMCrNtDSH/h3d+GuTKiL+DuGMZZFKgE73sou+6WSdmJhrKhSuZqfra0tEhMTAQAODg548OCBdF1aWpp0XZHDlcyKrohwIPRQ4X3NI58A7yIAk2KAsSnw7gXw4Grhrkyoi/g7hjHGGNM5KidT1apVw/379wEAfn5+mDNnDv79919cunQJM2bMwBdfaHP2OC0q7GWvmWJF4QLX0R0o6QKkJgFpKUDJMkDFGlxsQtP4O4YxxhjTOSp38xs4cKC0NWr27Nlo0KABGjduDEBstTpw4EDBRqg3SLzQvH0WcCrHF5dFRVEoB+7iCfSfCdz6b8xU1f/GTDmW42ITmsTVEhljjDGdo3Iy1b17d+n/3d3dcf/+fWmZ9Hr16sHOzq5AA9QLEeHA4fVAdCRgbgU06MQXl0VFUbnAVVSFsDBXJtRFXC2RMcYY0zl5nrRXwsLCAu3bty+IWPRX2Bng3iVxPEnCB+D9S21HxDRF3Re4XHCAZcUJLGOMMaZT8pxMJSQk4Pnz50hOTpZbJymVXrQQIAjiv6xoUfYCV9XESDIeiyvmMcYYY4zpJJWTqXfv3mHw4MHSiQ6zIiIIgoCMjIwCCU5vVGsIeNYB3r8ASpQRx5QwllVeEiNdH4+laO4pxhhjjLEiROVkaujQoTh+/DhGjx6NSpUqwcTERB1x6RfJAH0ey8BykpfESJfHYymae6rfTH7vM8YYY6xIUTmZOn78OBYtWoTBgwerIx79xWMZWG7ykhjpcsGBrHNPEYlzT+layxljjDHGmJqpnExZWFjA1dVVHbEwVnjlNTHS1SRdMvdU9CsAgjj3lC61nBUFXJyEMcYY0zqVk6m+ffti+/btaNGihTriYazw0tXEKC9ymnuKaQYXJ2GMMcZ0gsrJ1KxZszBw4EB06tQJbdu2VTivVOfOnQskOMYKNX1vWShMyaG+0fXiJIwxxlgRoXIy9eTJE1y8eBH379/H3r175dYXyWp+ukbfL9KLAm5ZYPmhy8VJGGOMsSJE5WRqyJAhiI2NxZIlS7iany7ii3T9wC0LLD90uTgJY0xjjAWgcXH5ZYwxzVE5mbp48SLWrVuHXr16qSMell98ka4fuGWB5ZeudLPklnDGtMbWGDhZS9tRMFa0qZxMlSpVCra2tmoIhRUIvkjXD9yywAoDbglnjDFWxKmcTA0bNgyrV69G69at1REPyy++SNcfutKywFhecUs4Y4yxIk7lZMrAwAA3b95EjRo10KZNG7lqfoIgYOzYsQUWIMsDvkhnjGkCt4Qzxhgr4gQiIlUeYGBgkPsO9bSaX1xcHGxsbBAbGwtra2vVdxB6ELh/BfCoCfhwq51a8RgNxnRHRHi+W8Lz/f1biPG50SEtuLKDRv2j0uUpYwVO2e/fPJVGZ9mEHgR+HQskxgIWNuIyTqjUg8doMKZbuCWcMcZYEaZSMpWUlITJkydj+PDhaNCggbpi0j/3r4iJVOmKwMsHwIOrnEypC4/RYIwxxgAA8enApAeyy+ZVBKxUvlXOGMur3PvsZVOsWDHs3bsXmZmZ6opHP3nUFFukXj4Q/61YQ9sRFV48RoPpu4hwIPSQ+C9jjOVDcibwywvZn2S+RGNMo1S+d1G9enXcunULjRo1Ukc8+knSCvXgqphIcauU+nC1Qt2la2PZdC0egLupMsYYY4WMysnUvHnz0LdvX1SpUgWNGzdWR0z6yac1J1GawmM0dI+uJQm6Fo8Ed1NlTL24SARjTMNUTqaGDx+OhIQENGnSBMWLF4eTkxME4dOXlyAIuHHjRoEGyRjTcbqWJOhaPBJZu6kamQBvI8TETxdiY4wxxpjKVE6m7O3tUaJECXXEwhjTV7o2lk3X4pGQdFO9dQa48g9wcT8Qfkl3Ws4YY4wxphKVk6mTJ0+qIQzGmF7TtbFsuhZPVi6eYstZWqrutZwxxhhjTCVcPFMddHHgO2Pqpmtj2XQtnqx0teWMMcYYYyrJUzIVHR2NxYsX49ixY4iKikKJEiXQrFkzjBkzBsWLFy/oGPWLrg58Zywv+MaAeuhyyxljjDHGlKbSPFMA8PLlS9SoUQOzZ89GbGwsypYti5iYGMycORM1atTAq1ev1BGn/sg68D3mrXixxJgiuj7fkOTGwP5V4r+6Gqe+cvEEarXkRIoxxhjTYyonU1OmTEFSUhIuXryI27dv48iRI7h9+zYuXryIpKQkTJkyRR1x6g/uvsOUoQ+JCt8Y0G26nowzxhhjRYDKydShQ4cwa9Ys+Pj4yCz38fHBjBkzcPDgwQILTq+EHgQ2zwIiH4vdd9oP4y5+LGf6kKjwjQHdpQ/JuB6Jj4/Hjz/+iBYtWqBkyZIQBAFBQUEKt7169SqaNWsGS0tL2NraonPnznj8+LHCbZcvXw4vLy+YmprC3d0dwcHBSEtLU+ORMMYY0zSVk6nY2Fi4ubkpXOfu7o7Y2Nj8xqR/Qg8Cv44F9q0U/418zN13WO70IVGRjOvhGwO6Rx+ScT0SFRWFNWvWICUlBR07dsxxu3v37sHX1xepqanYtm0bfv/9d9y/fx8NGzbEu3fvZLadPXs2Ro8ejc6dO+Pw4cMYPnw45syZgxEjRqj5aBhjjGmSygUo3N3d8ffff6N58+Zy6w4ePAh3d/cCCUyv3L8CJMYCpSsCLx8AD64CPq21HRXTZVkLEFCmeHEsWa5LdLkiXlGmD8m4HnF1dcWHDx8gCALev3+PtWvXKtxu2rRpMDU1xf79+2FtbQ0AqFmzJipWrIiFCxdi/vz5AMTkbNasWRg8eDDmzJkDAPD19UVaWhoCAwMxZswYVK5cWTMHxxhjTK1Ubpny9/fHsmXLMGrUKFy5cgWvXr3ClStXMHbsWCxbtgwDBw5UR5y6zaMmYGEjJlIWNkDFGtqOiOkDF0/xIvjf3dxdi6mGWw0LlCAIEAQh123S09Oxf/9+dOnSRZpIAWIi5ufnh927d0uXHTp0CMnJyfD395fZh7+/P4gIe/bsKdD4GWOMaY/KLVM//PADHj16hBUrVmDlypXS5USEIUOGYMKECQUaoF6QtEI9uComUvrQKsUlr3VD1u5ampi8lV/3wkPy+ulqq2Yh8+jRIyQlJcHb21tunbe3N44cOYLk5GSYmZnh1q1bAIBq1arJbOfk5IQSJUpI1yuSkpKClJQU6e9xcXEFdASsMDIUgMoW8ssYY5qjcjIlCAJWr16NcePG4cSJE4iKioK9vT2aNGkCDw8PdcSoH3xa60cSBfBcWLpEk921+HUvXPj11KioqCgAgJ2dndw6Ozs7EBE+fPgAJycnREVFwdTUFBYWFgq3lexLkblz5yI4OLjgAmeFmp0xcLuetqNgrGjL06S9AODp6QlPT/7DrZc03RrCcqbJyVv5dS9c+PXUity6A2Zdp+x22U2ePBnjxo2T/h4XFwcXFxcVo2SMMaYpeU6m3r59i2fPniEpKUluXaNGjfIVFFMzHryuWzRV5IFf98KFX0+Nsre3BwCFrUrR0dEQBAG2trbSbZOTk/Hx40eYm5vLbVuzZs0cn8fU1BSmpqYFFzhjjDG1UjmZev36Nfr27YsTJ04AEMdKAeKdNiKCIAjIyMgo2ChZwdJkawjTHfy6Fy78empU+fLlUaxYMYSFhcmtCwsLQ4UKFWBmZgbg01ipsLAw1KlTR7pdZGQk3r9/j6pVq2omaMYYY2qncjL1/fff49q1a5g/fz68vb35Dpq+4pLXRRO/7oULv54aY2RkhPbt22PXrl1YsGABrKysAADPnz/HiRMnMHbsWOm2rVq1gpmZGUJCQmSSqZCQEAiCkOtcVowxxvSLysnUqVOnsHDhQrmSr/mRkJCAwMBAbNu2DdHR0fDy8sKkSZPQs2dPpR6/d+9e/Pzzz7h27RoyMjLg5uaG0aNHY8iQIQUWI2OMscLr4MGDSExMRHx8PADgzp072LFjBwCgTZs2MDc3R3BwMHx8fNCuXTtMmjQJycnJmDZtGkqUKIHx48dL92VnZ4fAwEBMnToVdnZ2aNGiBUJDQxEUFIRBgwbxHFOMMVaI5KmaX0EPhu3cuTNCQ0Mxb948eHh4YMuWLejVqxcyMzPRu3fvXB87b948BAQE4LvvvsPkyZNhbGyMe/fuITU1tUBjZIwxVngNGzYMz549k/6+fft2bN++HQDw5MkTuLm5wcvLCydPnsTEiRPRtWtXGBkZoUmTJli4cCFKliwps7+AgABYWVlh5cqVWLhwIRwdHTFp0iQEBARo9LhY4ZaYAfz0VHbZD26AhaE2omGsaBJIMuhJScOHD4eJiQmWLFlSIAEcOHAAbdu2lSZQEi1atMDt27fx/PlzGBoq/la4cuUKateujblz5+LHH3/MVxxxcXGwsbFBbGyszISMjDHG1Iu/f3PG50ZFLYrWJEvvUgGHU7LL3jYGSppoJ54C9Y9Kl6eMFThlv39Vbpnq3r07Bg8ejMzMTLRv315a4SirGjVqKL2/3bt3w9LSEt26dZNZ7u/vj969e+PixYuoV0/xJAorVqyAqakpRo4cqdpBMMYYY4wxxlg+qZxMNWnSBICYyKxcuVJmXV6q+d26dQuVKlWCkZFsKJJZ5m/dupVjMnX69GlUqlQJO3fuxMyZM/Hw4UM4OTmhT58+mDFjBkxMcr41w7PMM8YYY4wxxvJD5WRq/fr1BRpAVFQUypUrJ7dcMst8bjPFv3z5Eu/evcOoUaMwc+ZMVK5cGceOHcO8efMQERGBzZs35/hYnmWeMcYYY4wxlh8qJ1P9+vUr8CDyOlN8ZmYm4uPjsXXrVmnlPz8/PyQmJmLJkiUIDg5GhQoVFD6WZ5lnjDHGGNNR6h7/xmOyWAExyM+Dw8PDcfbsWSQmJuZ5H/b29jnOKA98aqHK6bEA0LJlS5nlrVu3BgBcvXo1x8eamprC2tpa5ocxxhhjjDHGlJWnZOqPP/5AmTJlULlyZTRq1Ajh4eEAxOIUv/32m0r7qlatGu7evYv09HSZ5ZJZ5nObKV4yrio7SYFCA4N85YqMMcYYY4wxliOVs43t27ejf//+qFGjBlasWIGsldVr1KiBbdu2qbS/Tp06ISEhATt37pRZvmHDBjg7O8vMHp9dly5dAIiTLWZ14MABGBgYwMfHR6VYGGOMMcYYY0xZKo+Zmjt3Lvz9/bFu3TpkZGRgxIgR0nWVKlXC8uXLVdpf69at0bx5cwwbNgxxcXGoUKECtm7dikOHDmHTpk3SOaYGDhyIDRs24NGjR3B1dQUglk9fvXo1hg8fjvfv36Ny5co4evQoVq5cieHDh0u3Y4wxxhhjjLGCpnIydffuXcyfP1/hOjs7u1yr7+Vk165dCAgIwLRp0xAdHQ0vLy+ZohIAkJGRgYyMDJmWMGNjYxw5cgRTpkzBnDlzEB0dDXd3d8ybN0+muARjjDHGGGOMFTSVkylzc3PExsYqXPfy5UsUL15c5SAsLS2xdOlSLF26NMdtQkJCEBISIrfczs4Oq1atwqpVq1R+XsYYY4wxxhjLK5XHTNWvX19urJRESEgIfH19CyIuxhhjjDHGGNNpKrdMTZs2DQ0aNEDt2rXRu3dvCIKAXbt2Yfr06Th9+jQuXbqkjjgZY4wxxhhjTKeo3DJVq1YtHDx4EAkJCRg/fjyICHPmzMH9+/dx4MCBXEuZM8YYY4wxxlhhoXLLFAD4+fnh7t27ePToEd68eYMSJUrAw8MDgDjHkyCoedZqxhhjjLEiTgBQwlh+GWNMc/KUTEmUL18e5cuXl/6+ZcsWzJgxA/fu3ct3YIwVWhHhQOQTwNEdcPHUdjSMMcb0VAkT4J2vtqNgrGhTOpmKjY3Fnj178ObNG3h4eKBDhw4wMBB7Ce7atQvTpk3DnTt3eG4nxnITEQ7sWATEvAVsHYCu4zmhYowxxhjTU0olUw8fPkTDhg3x9u1baTe+xo0bY8+ePejVqxcOHToEW1tbLFiwACNHjlR3zKywKUotNZFPxESq3BfA4xvAm6eF/5gZYyyrFtwRjTFWeCiVTE2dOhVxcXEICgpCrVq18PjxY8yePRv16tXDnTt3MGjQICxYsAC2trZqDpcVOkWtpcbRXTzOxzfEf0u5aTsixhhjjDGWR0olU6dOnUJgYCAmT54sXVahQgW0bt0a3333HX755Re1BcgKuaLWUuPiKSaMb56KiVRhPlbGGGOMsUJOqWTq3bt3qF+/vsyyBg0aAAB69OhR8FGxoqMottS4eHISxRhjjGmTOrub/kPq2zfTOUolUxkZGTAzM5NZJvndysqq4KNiRQe31DDGGGN5kpQB/P5KdtkAZ6CYoXbiYawoUrqaX3h4OIyMPm2ekZEBAArLoNeoUaMAQmNFBrfUMMYYYypLyAC+z3YZ1r0UJ1OMaZLSyVT//v0VLu/bt6/0/5JKf5JEizHGGGOMMcYKK6WSqfXr16s7DsYYY4wxxhjTK0olU/369VN3HIwxxhhjjDGmVwy0HQBjjDHGGGOM6SNOphhjjDHGGGMsDziZYowxxhhjjLE8ULqaH2OMMcYYY+wzeELgIoWTKcYYY4zJUufFIGOMFSKcTDGmLhHhQOQTwNGdJyVmjBU8TngYY0zrOJkqqvhCX70iwoEdi4CYt4CtA9B1PJ9nxoqQhIQEBAYGYtu2bYiOjoaXlxcmTZqEnj17ajs0xpg+4y6EOoeTqaKIL/TVL/KJeH7LfQE8vgG8ecrnmLEipHPnzggNDcW8efPg4eGBLVu2oFevXsjMzETv3r21HR5jjLECwslUUcQX+urn6C4mqo9viP+WctN2RIwxDTlw4ACOHDkiTaAAwM/PD8+ePcMPP/yAHj16wNDQUMtRMsYYKwicTBVFfKGvfi6eYovfm6fi+eVklbEiY/fu3bC0tES3bt1klvv7+6N37964ePEi6tWrp9pOO9rwX2zGGNNB/NX8HyKxn2hcXJyWI9EAGyeg5VDg7TPAwVX8vSgct6bZOIk/AJ9fxnIh+d6VfA/ru1u3bqFSpUowMpL9E+vt7S1dn1MylZKSgpSUFOnvsbGxAIC4dDUFy/RavIL3RXw6YMqziLK8aKLG8Vh7YtW3bzVR9m8TJ1P/iY+PBwC4uLhoORLGGCua4uPjYWNjo+0w8i0qKgrlypWTW25nZyddn5O5c+ciODhYbrnLmYKLjxVu5c9qOwLGFNDj7/bP/W3iZOo/zs7OiIiIgJWVFQRBcWYeFxcHFxcXREREwNraWsMR5g/Hrh0cu3Zw7NqR19iJCPHx8XB2dlZjdJqV09+Rz62bPHkyxo0bJ/09MzMT0dHRsLe3z/Vxukaf38f6jM+7dvB51w51n3dl/zZxMvUfAwMDlClTRqltra2t9fbDwrFrB8euHRy7duQl9sLQIiVhb2+vsPUpOjoawKcWKkVMTU1hamoqs8zW1rZA49MkfX4f6zM+79rB51071HnelfnbxL1qGWOMsQJUrVo13L17F+npsgNawsLCAABVq1bVRliMMcbUgJMpxhhjrAB16tQJCQkJ2Llzp8zyDRs2wNnZGXXq1NFSZIwxxgoad/NTgampKaZPny7XBUMfcOzawbFrB8euHfoce0Fq3bo1mjdvjmHDhiEuLg4VKlTA1q1bcejQIWzatKlIzDHF7wXt4POuHXzetUNXzrtAhaUWLWOMMaYjEhISEBAQgG3btiE6OhpeXl6YPHkyevbsqe3QGGOMFSBOphhjjDHGGGMsD3jMFGOMMcYYY4zlASdTjDHGGGOMMZYHnEwxxhhjjDHGWB5wMsUYY4wxxhhjecDJFGNFTGxsLAAgIyNDy5Go7tmzZwAAfaybc+fOHbx69QqA/sX/559/Yvny5QCAzMxMLUfDWNHz/v17REdHazsMxpgCRbqa3+3bt3H69GmUKVMGPj4+cHR0BCBe6AiCoOXocvfs2TOkp6ejfPny2g5FZY8ePcL9+/dRsmRJeHl5wdLSUtshKe3evXs4ffo0bG1t4enpiWrVqsHAQD/uSTx//hw9e/aEtbU1Dh06pO1wVHL16lX06NEDlpaWuHTpEoyNjbUdktKuXbuGcePGITExET169MDYsWP15j1z5coVjBw5EhcuXICrqysePnxYJOZIYjlLTk6GmZkZAP34W6nvEhMTMWrUKPz7778wMTFBrVq10K9fP/j6+mo7tCIhLS1N+veG3++acfz4cRgbG0uvEfWBfvxFL2ApKSkYOnQofHx8sHz5cnz99ddo1KgRfv75ZwDQ6Q9LUlISRo4cCXd3d6xbtw7x8fHaDklpCQkJ6N+/P3x9fTF8+HDUrl0bLVq0wL59+wDo9t36hIQEfPvtt2jYsCF+/vln9OzZE23atMHq1asB6HbsEitWrMCFCxdw48YNbNu2DYDut07Fx8ejV69eqFWrFurUqYMNGzboTSKVmZmJefPmoXHjxnBycsKkSZPQokULvUik4uLi0KtXL/j4+KBSpUqoW7cuzMzM8OLFC22HxrQkPDwcPXr0QJcuXdCrVy+cO3cOycnJALi1Ul0ePHiAxo0b486dOxgzZgxatmyJ06dPo23btjh69KjOf3/rs/Pnz6NDhw7o0qULvv32W9y6dQvp6ekA9OPvvT66fv06vvzyS/Tq1Qtdu3ZF5cqVMWXKFDx9+hSAjn/PUBG0ZMkSqlChAv3zzz/04sULunnzJrVu3ZoEQaDNmzdTenq6tkNU6Pbt29SlSxdycXGhsmXLUrly5ej06dPaDkspZ86codq1a1O9evVo//79dP78edq7dy/Z2tpSgwYNKDIyUtsh5ujAgQPk6elJX331FR04cIDu3btHly9fpgoVKlCtWrXow4cP2g4xV5mZmURENH78eHJ1daXq1atTnTp1KCkpiYiIMjIytBlejtasWUOCINBXX31FR48epcTERG2HpJK7d+9SzZo1acmSJRQTEyN9HXTdzJkzydjYmOrWrUuHDh2ijIwMmj59OpmYmNCrV6+IiPTmWFjB+O2338jKyoo6duxIAwYMIA8PD7K0tKTx48drO7RCSfL5WrVqFZUuXZquX78uXRcaGkr169cnDw8POnXqlLZCLLQyMzNp1qxZZGFhQd988w316dOHSpcuTSVLlqTZs2drO7xC6927d+Tj40OdO3emmzdv0uXLl2ny5MlkZWVFrVq10nZ4n1WkkqnMzEyKj48nb29v6tatG6WkpEjXhYeHU4cOHah06dJ09uxZLUaZM8nF5ezZs+nMmTNka2tL/fv3p7dv32o7tFy9e/eOunfvTm3btqUbN27IrAsMDCQLCws6d+6clqLLXXR0NE2ePJl69epF9+/fl1k3aNAgqlSpkt5c5Hfs2JF+/vlnmjFjBpmbm9O8efOISDeTqZcvX1KbNm3IwMCArl27JnPxHhsbq8XIPk8S67Rp06hUqVLSBISI6Pr163Tjxg2Kjo7WVni52rVrF1WrVo1Wr14tc54XLlxIgiDQ//73Py1Gx7QhISGBGjVqRIMGDZL5ruvRowcZGRnRL7/8QkScYKtD27ZtqX79+nLn9vr162Rubk69e/eW+X5h+ff69WuqWrUqTZ06lVJTU4mI6MOHD9SqVSsyMjKiv//+m4j4/V7Qtm7dSmZmZnT+/HmZa5Jp06ZJr3t1WZFKpojED4CzszNNnz6diEgmobp69SrZ29tT37596f3791qKMGd37tyh48ePS3+fOnUqmZmZ0c6dO3X+g92rVy+Z2CWtf0eOHCFBEOjq1avaCu2zTp48KU2ksp7nPn360KxZsygxMVH64dfFxERyrtu0aUNTp06lmJgY8vHxoQoVKtCjR4+ISDf/MBw8eJCKFy9OEyZMICKie/fuUffu3alRo0bUsGFD+vXXXykiIoKIdPO8t2/fntq3b09ERGFhYdSoUSNycHAgOzs7qlChAm3ZskXLESoWFRUl/b/kfXHu3DkSBIF+//13meWs8Lt+/ToJgkAnTpwgIqK0tDQiEm9Atm3blqysrOjp06dajLDwGjx4MLm5uUl/z/q5CwoKIhMTE/rzzz+1EVqh9ffff5MgCNK/jZK/n6GhoVS7dm1yc3PT+Rt6+kByjS25Bl++fDmZm5tTcnKyzPKIiAjq3bs3mZub08OHD7UTrBJ0v/N+HuXUt/Lt27dwc3PDsWPHAAAmJibSbatXr45Ro0Zhx44duHPnjsZizS6n2CtVqgQ/Pz/pNt999x3Kli2LX375RdqnVNuyxy7p0x0SEiKNHYB0EPu9e/dgaWkJW1tbjcWYk5zOe+PGjVGxYkUA4ni6pKQk9OvXD5s3b8bmzZtRtWpVjB07FgC0Nh4mt77EhoaGSE1Nxdu3b+Hk5AQbGxv069cPUVFRWLhwIQBxkLOkP7imZY+d/uuPXqdOHfTt2xcrVqxA79698cUXX+D9+/dwcnJCYmIihg8fjoEDBwLQzfNuZ2eHa9euISIiAt999x2sra2xevVqBAQEoGTJkhg4cCD27t2rtX7gOT2vnZ2d9P+S8aPFixdH8eLFce3aNY3ExnRHVFQUzMzMpJU0JZ81Dw8PDB8+HKampggODgag42Ma9FD16tXx5s0b7N+/H4Ds+R09ejRKliyJffv2ISUlRVsh6rWEhAS5ZR8+fICpqSkePXoks7xWrVoYNWoUXr9+jSVLlgDg93tevHnzBjVq1EDdunUBiNfggPhaGBgY4NSpUzLLy5Qpg/79+8Pc3BwzZ84EoKPnXdvZnDqsW7eOKlWqJL1jk/2utb+/Pzk5OdGhQ4fk1t+5c4ecnJzo+++/V/hYdftc7NmFhISQIAi0YsUKaSavrbvGqsQuWTdo0CD64osvKD4+XiMx5kTZ2B8+fEgeHh7k7e1Na9asoe3bt9OAAQNIEATp+AFde89I7qw1aNBA2lT+8eNH6tixI5UqVYr69etHtWvXppMnT2o0bqLPx37hwgXy9vYmDw8P2rVrF8XFxUm3+f7778nAwIBWrFih8LHajn38+PFkaWlJrVu3plq1atHz58+l627fvk3VqlWjZs2aaeUup6rfM2/evKGSJUtSs2bNKCEhQRMhMg3bsWMHHT16lEJDQ6XjKYmInj9/TiYmJjR+/Hj6+PEjEX36TomNjaURI0aQIAj0+PFjIuJWy4L0/v17cnJyou7du0vPedbzO3nyZLK1tZW+Lkw5CQkJNG7cOGrSpAn5+vrS5MmTpUMQzp49S4Ig0E8//SQ955Lvx9evX1PXrl3J2tpab7r36xrJcBVBEGjZsmXS5Q8ePCBBECgoKEj6/ZP1e2bQoEFkYWGhs63ghSqZioiIoMGDB5ORkREJgkBt27aVvuEzMzOlL8zVq1dJEAQaPHgwxcXFEdGnF+3Dhw/UqVMn8vT0lDY36kLsOYmLi6OmTZuSl5eX1rrK5SX2tLQ0yszMJA8PDxowYIAmw5WRl9iPHz8uc1H//v176tGjBxUrVkyjF8aqxJ6WlkalS5em7du3S5dNmTKFTExMyMjIiBYtWkQJCQkauxBSNvaEhATasGEDbd26Ve7zePfuXXJ3d6cmTZrIdNfVduyS98WNGzdIEAQyMTGhoUOHyuwjNTWVFixYQIIgaLTrQl7e75LjadWqFfn4+OS6LdM/GzZsIFdXV6pYsSJZW1uTIAjk7+8v85nq2rUrlS9fXm7MKxHR3r17yd7enoKDgzUZdpExc+ZMcnBwoI0bNxIRyRTI+v3336lYsWJ08eJFbYWndzZu3EgODg7UoEEDGjduHLVt25YMDQ2pZs2a0uvB2rVrU926daU3CLJau3YtWVlZ0bp16zQdeqGwYMECKlWqFLVt25bs7e2l10yZmZnUuXNnue8Zyd+a9evXk5WVlc6O2y00yVRycjKNGTOGnJycaOrUqdSvXz+ytbWl5cuXE9GnF0RyYdCnTx+ysrKi9evXyyyXrKtRo4bM3TldiD0nx44dI2NjY5oyZQp9+PCBIiIi6J9//iEi9d+tz0/s9+7dIxMTE5kL/I8fP1JYWNhnH6uN2HOLZ8yYMVSqVCmNXRirEntmZibFxcVR9erV6cCBA3T79m3y9fUlIyMjqlSpEllbW1NISAgRaaZ1R9Xznr0lJOv6OnXqUPPmzdUes4SysUv+HTJkCAmCIK1GJBlvQiRW6ipWrJjGKnLm57OakpJCQ4YMIRMTE5kWNqa/YmJiaMKECeTu7k6zZ8+m69ev06NHj2jQoEFUrFgxmj9/vnTbU6dOkYmJCQUEBEgvOCXv5YSEBHJ2dpaObeREu2AlJydT+fLlqXr16tIxohLz588nCwsLevbsmZai0x+ZmZm0e/du+vLLL2n69On07t07aYGJ4OBgMjc3lxZT2bp1KxkYGNCyZcukN/Ek2z579owsLCykrSr8flfNhAkTaPjw4fT777+TsbExDR8+nIjEa49Tp06RmZkZjRkzRjqmSnLe37x5Q4Ig0P79+7UWe24KTTJFJA7IDAoKIiKxCpuHhwfVqFGDnjx5QkTiiyW5q/P+/XtycXGhKlWq0IULF6T7iIqKonr16lHfvn01+iFRJvbsssY3aNAgKlWqFAUFBZGPjw8JgkAvXrzQ2diJxOZeOzs7Cg8PJyKiixcvUosWLcje3l5jpdLze94zMjLoyZMnVLNmTerSpYtGu5qpEvvr16/J0tKSvvzySzIyMqImTZrQlStX6NKlS+Tl5UVly5aVXiTpWuwSWRMRIrE7hoWFBU2cOFHt8WalTOyS+D98+ECurq4kCALt2LFDuo+EhATy9/enOnXqaLQFPK+fVSLxgsPAwICOHTumiVCZmu3evZuqVatGS5cupaSkJOn32rNnz8jV1ZW6dOkifW9+/PiRhg4dSra2trRz506Z/aSnp1OZMmVoxIgRGj+GouLkyZPk4OBA9evXp4cPH1JMTAzdv3+fmjRpQgMGDJD7bmTyMjMzafjw4dSpUye55PP58+cyXcajo6Opffv25OrqSkePHpXZNioqiszMzGjRokUai70wkPxtGThwIPXq1YvS0tKoW7duZGRkJC39n5ycTBMmTCBjY2Ppa0EkvnZ//PEHWVpa0vnz57US/+fobTIlyVaz/z+rRYsWkbW1Nf34448yyyUJ1fbt28nLy4tcXFxo2bJl9Pfff9OIESPIwcGBDh8+rJOxK5KYmEhbtmyR9kPt0KGD2vqVFkTskvPfrVs3+vLLL+nWrVs0YsQIMjIyopYtW6rtLps6zvvdu3epf//+VLFiRemXrjqS8PzGnpGRQT179qRq1arR5s2bZebGmjJlCg0YMIDi4+N1MvbsPn78SLdv36bu3buTt7c33b17t8Biza4gvmf27t1L5cuXJzs7Oxo3bhyFhITQ4MGDqXjx4rRq1Soi0s33jIQktjNnzpCBgQHt27ePiHSzgiJT3vbt22nGjBkyyyRd+2rWrEkdOnSQWff69WsqV64cVapUSfoeSEtLo+3bt1Pp0qV1dnqLwmLHjh3k5OREVlZW1KBBA3J2dqaqVavSzZs3tR2a3nj9+rXC8dmPHz8mMzMzaSs9kdhzxsbGhurWrSu9gE9NTaXly5eTu7u7TleW01WZmZnUrVs3+uGHH4hI/Nvo6Ogo7V0SFxdHiYmJ1KRJE7KysqJJkybRuXPn6OTJk1SnTh36+uuvNXrzURV6l0ydO3dOWnK4b9++FBYWJr1QkFy8SO7SpKamUv369alcuXLSuaPS09NlLlxCQ0OpadOmVKpUKXJ1daWqVatKS8DqYuzZPX36lIYPH07FixenatWqqW2OrIKOPSkpiby9vcnZ2Zns7OzI3d2djhw5ohexP3nyhH7++WcaO3YslSpViry8vHT2vGe9Y/nixQt6/vy59CJY8jnI6UJb27FnP++PHz+mxYsX04QJE8jBwYGqVKmitrECBf09c+XKFWrfvj05OjqSu7s7Va9eXWaqAF2LXZH9+/eTIAg0d+5ctcTNNENR4p41MU5KSiI3NzcaPXq03HYXL14kb29vEgSBmjVrRj179iQrKyvy9/fnwiQacPfuXVqzZg1NmjRJOkSBqS77VCZHjx4lQRCkRZgk34G7d++mihUrkpGREbVr1446d+5MxYoVo0mTJknHfTPlSM5px44dadCgQUQk/v2ZOHEiCYJAvXr1orJly9LRo0cpIiKCfvjhBzI2NqYyZcqQjY0Nde7cWWfnZyTSo2Qqp1mpHRwcFE7mJXnhdu3aRcWLF6fevXvL7U8iNTWVoqOj6dq1a3oRe1YPHjwgQ0NDWrJkiV7Ffvv2bRIEgUqWLEkrV67Uq9jPnj1LzZo1o8aNG9OaNWv0KnZNUFfsJ06coGrVqpGPj4+0RUfXY8/6PZOWlkbx8fF069YtvYg9+zEkJSXJjG9khdODBw/I1tZWOsA++zjAly9f0rx582jAgAHUoUMHaSsVY/pq1qxZ5OLiQq9fv5Zb9+zZMwoICKD+/ftTly5d6N9//9VChIVHzZo1aeHChdLff/rpJzIzMyMDAwOaN28excTESNc9evSIzp8/T7dv39ZGqCrRm2QqP7NSd+vWjUqWLCm9EIiOjqY3b95I1+d0J1YfYld3/AUde9axUJs2bVJbq4i6Y3/06JFauzmp+z2jTuo87zdv3tSr93th+Z7hLn2Fn+Q13rhxIxkbG3P3MVZktG3bllq0aCGzTJ3XJkWR5PvF19eXVq5cSQ8ePKAmTZqQkZER1a5dmwwNDWnevHlEJD8+Wh/oTTKVl1mpJS/IjRs3qHTp0tSkSRM6evQo9erVi7755ht69eoVx66F2LNXJNKn2DVV1IPfM3zei1LsTHOyd0GVkCzz9/cnb29vmdLod+7ckc5lxF2bWGHy6tUrsre3p5kzZxKROG7wwoUL1KZNG3r79q2WoytcEhISyNXVlVxdXcnY2Jh8fX3pwoULFB4eTs2aNSNBEPT2nOtkMqVogOCmTZvIzMxMWvI7613eTZs2kampqbRKlaI7wEOHDpUWaHBwcFBbeUWOnWPn2Dl2jp3pmqzVbImIDhw4INdl6ePHj/TFF19I50V7/fo1zZgxgwRBkF5sMlYYSG4K7N+/n4yNjenUqVP04sUL+v7778nc3Jy++OILevfuHd88KGDjx48nLy8v2rhxo0whrLVr19K3335L0dHRennOdSqZyjortZ+fn8JZqRcuXKhwVuouXbrIzEoteTHevHlDmzdvpgoVKpClpSUtXbqUY+fYOXaOnWPXcOxMe7J2m3n48CG1bNmSBEGg4OBgmQTr2rVrZGlpSb/88gvt2bOHypYtSw4ODvTHH39oI2zG1C4oKIhcXFwoICCASpcuTe7u7nTw4EFth1VoJSYmyhTCklB3N3h105lkKqdZqWvVqiWd/8bHx0flWal//fVXMjc3px49eii8m8uxc+wcO8fOsas3dqYdWZOotLQ0GjFiBAmCQDVr1qQNGzZIu89KEuu1a9eSIAjk5OREhoaGGp/DjTFNSktLk95YsLa2pgULFmg7JKantJ5MqWtWaknWe/v2bemksBw7x86xc+wcu+ZiZ9qRkZEh01Vm5cqVZG1tTU5OTjRnzhy6d++ewqIi48aNI0EQ6Ntvv9Vo0RrGtGXixIk0ceJEnZ2/iOkHnUim9HVWao6dY+fYOXaOnemqkydPUpUqVcjExISGDBlC58+flxaSyEqSWN28eVPabZSxooArlbKCoPVkiki/Z6Xm2Dl2VXHsHLuq9Dl2pnkZGRk0bdo0EgSB2rRpQ3/99RdFRUVpOyzGGCuUdCKZktDnWak5do6dY+fYOXamK44fP07r1q2Ta81kjDFWsIygQwwMDGT+vXDhAsqUKQNPT08AgKGhIQCgY8eOqFGjBtasWYOXL18iPj4eR44cQf369bUTODh2beHYtYNj1w59jp1plq+vLxo3bix9rxARBEHQclSMMVb4CERE2g4iJ+3atUNaWhoOHz4sXZaWlgZjY2MtRqUcjl07OHbt4Ni1Q59jZ4wxxgoDA20HkJPXr1/jwoULaNiwIQAgNTUVFy9eRMeOHfHu3TstR5c7jl07OHbt4Ni1Q59jZ4wxxgoLnUumJA1lV69eRVxcHBo1aoSXL19i/PjxaNKkCV6+fAlBEKCLDWocu3Zw7NrBsWuHPsfOGGOMFTY6NWYKgLRP9+XLl+Ho6Ih//vkHISEhMDExwc6dO9GqVSstR5gzjl07OHbt4Ni1Q59jZ4wxxgodDRe8UIo+z0rNsWsHx64dHLt26HPsjDHGWGGicy1TAGBkZITq1aujevXqCA4OhqmpqbZDUhrHrh0cu3Zw7Nqhz7EzxhhjhYnOVvPLzMyUlnTVNxy7dnDs2sGxa4c+x84YY4wVFjqbTDHGGGOMMcaYLuPbmowxxhhjjDGWB5xMMcYYY4wxxlgecDLFGGOMMcYYY3nAyRRjjDHGCrVly5ZBEARUrVpV26Hky8mTJyEIAk6ePJmnx4eEhEAQBDx9+rRA49IkQRAQFBSk8uNevXqFoKAgXL9+XW5dUFCQdA4/bYiJiUGJEiXwv//9T7rs1q1baNCgAaysrFCzZk2cPXtW7nE//fQTPDw8kJycLLeuUaNGGDNmjDrDZv/hZIoxxhhjhdrvv/8OALh9+zYuXryo5WiYNrx69QrBwcEKk6lBgwbh/Pnzmg/qP8HBwXB2dkaPHj0AAOnp6ejcuTNKlCiBXbt2oXr16vj6668RExMjfczTp08RHByMVatWwczMTG6fM2fOxC+//ILw8HBNHUaRxckUY4wxxgqty5cv48aNG2jbti0AYN26dVqOqOjJyMhASkqKtsPIUZkyZVC3bl2tPHd0dDRWr16NESNGSFvHHjx4gAcPHuDXX39F8+bNsWrVKiQnJ+PChQvSxw0bNgxdu3ZFkyZNFO63cePG8PT0xKJFizRyHEUZJ1OMMcYYK7QkydO8efNQr149/O9//8PHjx9ltnn69CkEQcDChQvx888/w93dHZaWlvjqq69kLmABoH///rC0tMTDhw/Rpk0bWFpawsXFBePHj5dJGHLqkid5rpCQEOmyy5cvo2fPnnBzc0OxYsXg5uaGXr164dmzZ3k+7gsXLqB+/fowMzODs7MzJk+ejLS0NIXb/vnnn/jqq69gYWEBS0tLtGzZEteuXZPb7rfffoOHhwdMTU1RuXJlbNmyBf3794ebm5vc8S1YsACzZs2Cu7s7TE1NceLECSQnJ2P8+PGoXr06bGxsYGdnh6+++gp79+6Ve664uDgMHjwY9vb2sLS0RKtWrXD//n257R4+fAh/f39UrFgR5ubmKF26NNq3b4+wsDDpNidPnoSPjw8AwN/fH4IgyHQXVNTNLzMzEwsWLICXlxdMTU3h4OCAb7/9Fi9evJDZztfXF1WrVkVoaCgaNmwIc3NzlCtXDvPmzUNmZqbiFyeLkJAQpKenS1ulAEi77VlYWAAAjI2NYWJiIl2+detWXL58+bOJUt++fbFlyxbEx8d/Ng6Wd5xMMaZlkj7skh8zMzM4OjrCz88Pc+fOxdu3b/O03zt37iAoKEiv+8Yzxlh+JCUlYevWrfDx8UHVqlUxYMAAxMfHY/v27Qq3X7lyJY4cOYIlS5Zg8+bNSExMRJs2bRAbGyuzXVpaGjp06ICmTZti7969GDBgABYvXoz58+fnKc6nT5/C09MTS5YsweHDhzF//ny8fv0aPj4+eP/+vcr7u3PnDpo2bYqYmBiEhIRg1apVuHbtGmbNmiW37Zw5c9CrVy9UrlwZ27Ztw8aNGxEfH4+GDRvizp070u3WrFmDIUOGwNvbG7t27UJgYCCCg4NzHL+1bNkyHD9+HAsXLsTBgwfh5eWFlJQUREdHY8KECdizZw+2bt2KBg0aoHPnzvjjjz+kjyUidOzYERs3bsT48eOxe/du1K1bF61bt5Z7nlevXsHe3h7z5s3DoUOHsHLlShgZGaFOnTrSLm41atTA+vXrAQCBgYE4f/48zp8/j0GDBuV4DocNG4aJEyeiefPm2LdvH2bOnIlDhw6hXr16cq9JZGQkvvnmG/Tp0wf79u1D69atMXnyZGzatCnnF+k/f//9N7788kvY2tpKl3l5ecHOzg7z589HTEwMVq5cicTERNSqVQsfPnzA2LFj8fPPP8Pe3j7Xffv6+iIxMTHPY+yYkogxplXr168nALR+/Xo6mPvsRAAADVNJREFUf/48nT59mnbs2EFjxowhGxsbsrOzoyNHjqi83+3btxMAOnHiRMEHzRhjeuCPP/4gALRq1SoiIoqPjydLS0tq2LChzHZPnjwhAFStWjVKT0+XLr906RIBoK1bt0qX9evXjwDQtm3bZPbRpk0b8vT0lP5+4sQJhd/Bkudav359jnGnp6dTQkICWVhY0NKlSz+7z+x69OhBxYoVo8jISJl9enl5EQB68uQJERE9f/6cjIyMaOTIkTKPj4+PJ0dHR+revTsREWVkZJCjoyPVqVNHZrtnz56RsbExubq6yh1f+fLlKTU1Ndc409PTKS0tjQYOHEhffvmldPnBgwcJgMyxExHNnj2bAND06dNz3WdqaipVrFiRxo4dK10eGhqa43mfPn06Zb0kvnv3LgGg4cOHy2x38eJFAkBTpkyRLmvcuDEBoIsXL8psW7lyZWrZsmWux09EZG5uTt99953c8t27d5O1tTUBIFNTU1q9ejUREQ0cOJCaNWv22f0SEaWmppIgCDRx4kSltmd5wy1TjOmIqlWrom7dumjYsCG6dOmCxYsX4+bNm7CwsEDnzp3x5s0bbYfIGGN6Zd26dShWrBh69uwJALC0tES3bt1w5swZPHjwQG77tm3bwtDQUPq7t7c3AMh1txMEAe3bt5dZ5u3tnedueQkJCZg4cSIqVKgAIyMjGBkZwdLSEomJibh7967K+ztx4gSaNm2KUqVKSZcZGhrKdCUDgMOHDyM9PR3ffvst0tPTpT9mZmZo3LixtEUjPDwckZGR6N69u8zjy5Yti/r16yuMoUOHDjA2NpZbvn37dtSvXx+WlpYwMjKCsbEx1q1bJ3OcJ06cAAB88803Mo/t3bu33P7S09MxZ84cVK5cGSYmJjAyMoKJiQkePHiQp3OX9fn79+8vs7x27dqoVKkSjh07JrPc0dERtWvXllmmzPshJiYGHz9+hIODg9y6jh074u3bt7h79y6ioqIwZMgQnD59Glu3bsWqVauQlJSE77//Hk5OTihbtiyCgoJARDL7MDY2hq2tLV6+fKnsobM84GSKMR1WtmxZLFq0CPHx8Vi9ejUA5frWh4SEoFu3bgAAPz8/aRfCrH30jx49iqZNm8La2hrm5uaoX7++3B8IxhjTVw8fPsTp06fRtm1bEBFiYmIQExODrl27AvhU4S+r7N2mTE1NAYjdBbMyNzeXq6BmamqqsES1Mnr37o0VK1Zg0KBBOHz4MC5duoTQ0FCULFlS7rmVERUVBUdHR7nl2ZdJbtL5+PjA2NhY5ufPP/+UdmeLiooCAJnkTELRMgBwcnKSW7Zr1y50794dpUuXxqZNm3D+/HmEhoZiwIABMucuKioKRkZGcq+HomMaN24cpk6dio4dO+Kvv/7CxYsXERoaii+++CJP507y/Dkdg7Ozs3S9hKLudqampp99fsl6RdX4JPvw8vKChYUFUlNTMXToUAQGBqJ8+fKYM2cOzp07h2vXruHYsWNYu3atzN94CTMzszyfB6YcI20HwBjLXZs2bWBoaIjTp08D+NS3vmfPnrCzs8Pr16/x66+/wsfHB3fu3EGJEiXQtm1bzJkzB1OmTMHKlStRo0YNAED58uUBAJs2bcK3336Lr7/+Ghs2bICxsTFWr16Nli1b4vDhw2jatKnWjpcxxgrC77//DiLCjh07sGPHDrn1GzZswKxZs2RaogqS5AI5exW77ONtYmNjsX//fkyfPh2TJk2SLpeML8oLe3t7REZGyi3PvqxEiRIAgB07dsDV1TXX/QFQ2ENC0fMAUDhv06ZNm+Du7o4///xTZn32c2Rvb4/09HRERUXJJCqKnkvy92zOnDkyy9+/fy8zDkkVkud8/fo1ypQpI7Pu1atX0vOWX5LnUeZ1njNnDoyMjDBhwgQAwMGDB+Hv7w9HR0c4Ojqie/fuOHDgAPz9/WUe9+HDhwKLlynGyRRjOs7CwgIlSpTAq1evAABdu3aV3lkFxJKz7dq1Q6lSpbBlyxaMGjUKJUuWRMWKFQEAlStXlin5+vHjR4wePRrt2rXD7t27pcvbtGmDGjVqYMqUKTwPC2NMr2VkZGDDhg0oX7481q5dK7d+//79WLRoEQ4ePIh27dqpJQZJhbubN2+iZcuW0uX79u2T2U4QBBCRtBVMYu3atcjIyMjTc/v5+WHfvn148+aNtOUoIyMDf/75p8x2LVu2hJGRER49eoQuXbrkuD9PT084Ojpi27ZtGDdunHT58+fPce7cOTg7OysVlyAIMDExkUmkIiMj5ar5+fn5YcGCBdi8eTNGjRolXb5lyxaF+8x+7v7++2+8fPkSFSpUkC7LqZVREUm58U2bNkmrAAJAaGgo7t69i4CAgM/uQxkmJiYoV64cHj16lOt24eHhWLBgAY4fPy7tOklESExMlG6TkJAg183v1atXSE5ORuXKlQskXqYYJ1OM6YGsX5AJCQmYOXMmdu7ciadPn8r8sVWmf/i5c+cQHR2Nfv36IT09XWZdq1atsGDBAiQmJkpLsjLGmL45ePAgXr16hfnz58PX11dufdWqVbFixQqsW7dObcmUo6MjmjVrhrlz56J48eJwdXXFsWPHsGvXLpntrK2t0ahRI/z0008oUaIE3NzccOrUKaxbty7PLSuBgYHYt28fmjRpgmnTpsHc3FxaES4rNzc3zJgxAwEBAXj8+DFatWqF4sWL482bN7h06RIsLCwQHBwMAwMDBAcHY+jQoejatSsGDBiAmJgYBAcHw8nJCQYGyo0aadeuHXbt2oXhw4eja9euiIiIwMyZM+Hk5CQzhq1FixZo1KgRfvzxR2kVu7Nnz2Ljxo0K9xkSEgIvLy94e3vjypUr+Omnn+RalMqXL49ixYph8+bNqFSpEiwtLeHs7KwwEfT09MSQIUOwfPlyGBgYoHXr1nj69CmmTp0KFxcXjB07VqnjVYavry8OHjyY43oiwpAhQ+Dv7y9zY7Rly5ZYtmwZKlasiISEBGzZsgVLliyReaykrL+fn1+BxcsU0F7tC8YY0adqfqGhoQrXJyQkkKGhITVt2pSIiNq3b0/m5uY0d+5cOnr0KF26dIlCQ0OpZMmS1K9fP+njcqrmt2nTJgKQ68/z58/VdbiMMaZ2HTt2JBMTE3r79m2O2/Ts2ZOMjIwoMjJSWoHup59+ktsO2arH9evXjywsLOS2y14Rjojo9evX1LVrV7KzsyMbGxvq06cPXb58Wa6q3IsXL6hLly5UvHhxsrKyolatWtGtW7fI1dVV5ntd2Wp+RERnz56lunXrkqmpKTk6OtIPP/xAa9askanmJ7Fnzx7y8/Mja2trMjU1JVdXV+ratSsdPXpUZrs1a9ZQhQoVyMTEhDw8POj333+nr7/+WqYSX27nkoho3rx55ObmRqamplSpUiX67bffFJ67mJgYGjBgANna2pK5uTk1b96c7t27J/d6fPjwgQYOHEgODg5kbm5ODRo0oDNnzlDjxo2pcePGMvvcunUreXl5kbGxscx+FD1/RkYGzZ8/nzw8PMjY2JhKlChBffr0oYiICJntGjduTFWqVJE7zn79+slUOczJsWPHCABdunRJ4fq1a9eSs7MzxcbGyixPSEigQYMGkb29PZUqVYomTZpEGRkZMtv07duXqlWr9tkYWP4IRNnaBBljGhUSEgJ/f3+EhoaiVq1acuu3bduGHj16YObMmRg5ciSKFy+O6dOnY/r06dJtUlJSYGFhgT59+kgHoO7YsQPdunXDiRMnZO7MHj58GK1atcLy5ctznPHd29sbJiYmBXqcjDHGCpeYmBh4eHigY8eOWLNmjbbD0Vve3t6oX78+fv311wLbZ1xcHJydnbF48WIMHjy4wPbL5HE3P8Z02PPnzzFhwgTY2Nhg6NChKvWtz6l/eP369WFra4s7d+7g+++/V+8BMMYYKxQiIyMxe/Zs+Pn5wd7eHs+ePcPixYsRHx+P0aNHazs8vbZgwQJ06tQJAQEBct0T82rx4sUoW7asXEEKVvA4mWJMR9y6dUs6x8fbt29x5swZrF+/HoaGhti9ezdKliwJAEr3ra9atSoAcdZ6KysrmJmZwd3dHfb29li+fDn69euH6OhodO3aFQ4ODnj37h1u3LiBd+/eFejdMcYYY/rP1NQUT58+xfDhwxEdHQ1zc3PUrVsXq1atQpUqVbQdnl5r1aoVfvrpJzx58qTAkilra2uEhITAyIgv9dWNu/kxpmWSbn4SJiYmsLW1RaVKldCyZUsMGjRImkgBwMuXLzF69GgcP34c6enpqF+/PhYuXIi2bdvC19dXZp6JpUuXYunSpXj+/DkyMjKwfv166SSEp0+fxoIFC3D+/HnEx8fDwcEB1atXR//+/WWqBTLGGGOMMcU4mWKMMcYYY4yxPFCuliVjjDHGGGOMMRmcTDHGGGOMMcZYHnAyxRhjjDHGGGN5wMkUY4wxxhhjjOUBJ1OMMcYYY4wxlgecTDHGGGOMMcZYHnAyxRhjjDHGGGN5wMkUY4wxxhhjjOUBJ1OMMcYYY4wxlgecTDHGGGOMMcZYHnAyxRhjjDHGGGN58H+MR8xvltYdDQAAAABJRU5ErkJggg==",
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Y+/fvIzs7Gx06dFDLJdLk9ddfx++//45169ahZ8+eKCsrw6ZNm+Du7o5Ro0YZND5V+BwSTaRSKQASDzwTJkzAnj170KxZM4wYMQJSqVSRz/Xdd99pzd2ff/6JlStXYtu2bYp8G0tLS4wdOxZfffWV4tr8s/zll1903jegfJb8mGoauyEYcy5+vMePH8fx48drHG9+fr7ea+jarm8MQO3XszH3Ghsbi65duyInJwchISEYOHAgHBwcYGpqivj4eGzatKnOPef4cXl4eAh+zm/Pzc3V+szR0VHwGDMzMzXRbwi65pl/3l9++aXe4/nn7ePjg0uXLmHx4sU4cuQI/vrrLwAk9t577z3MmTOnVuOqD7799ls0a9YMGzZswIoVK7BixQqYmZlhyJAh+Prrr9GiRYtHPiYGg6EfJqwYDIZeevfujVOnTuHkyZN45ZVX6nQu/k3rvHnz8M033xh0zOeff46SkhKcPn1arUoZACxfvhz79u0TPE7oLfPGjRvVKoZp4uTkhG+//RbffvstHjx4gLNnz2LdunVYs2YNcnNzsXnzZrX9hw8fjoCAACxcuBDPPPMMjh8/Lpjg3q1bN3Ts2FFRxOLw4cPIysrCBx98AHNzc4PHx5OWlia4na8KyM/z5cuXsWfPHkXFOTMz5T/5crkc//vf/7TOYWVlhcWLF2Px4sVITEzEP//8g40bN2LLli2Ij49XFG3gr3Hjxg2dBRRU4fevaeyGYMy5+GO+//57g4xke3t7vdfQtZ1Hl5ejtuvZmHv95ptvkJWVhQ0bNmhVp9u+fXuNlRMNgR+XrueWmpqqtl9DoWue+evm5eUpnmVNtG7dGn/++ScqKytx48YNnDhxAqtXr8bbb78NGxsbxb9/JiZUULmyslLrHEJC0lhMTU0xd+5czJ07F+np6QgPD8cff/yBnTt34s6dO7hz506tit4wGIyGh5VbZzAYepk+fTrMzc2xe/du3L17V+++Nb0F79q1K0xMTGqsqKbKgwcP4OzsrGWEAjA4dMwYWrRogVdeeQVnz56Fra2tTgG3YMECfPvtt7h27Rr69eun0wB+/fXXUVpait9//x0///wzRCIRZs6cadTYhO47Ly8P169fh6WlJVq3bg2A5g4Ann/+eTVRBQCXLl3SCg/TxMvLC5MmTcLRo0fRokULhIeHKzwB3bt3BwCDn2XHjh0BAOHh4aiqqtL6XKh0tS5atWoFa2trXL9+Xc07p+9ctR2vvb09mjVrhuTkZMTHx2t9Hh4ebvB4VanteuY9ofqeudA1AGDMmDEGXQOAIjRP6NkIwbciSE5ORnR0tNbnp0+fVhv/o6a2z1sVMzMzBAcH44MPPlC0gNi7d6/icycnJwBAYmKi1rG1aZBemzl3d3fH6NGjsWPHDgwYMAAxMTG4ffu2wddiMBiPBiasGAyGXnx9fbF48WKUl5dj6NChOg2HI0eO1Fgy293dHZMmTcLly5fx2WefCRoUMTExiIuLU7t+dnY2bt68qbbfr7/+iqNHjxpxR8LExcUhNjZWa3tOTg7KyspgZWWl89i5c+di7dq1uHPnDvr27SvYI2fixIlwcHDA//73P5w9exbPPfccmjVrZtRYN2/erJW7snjxYuTl5eHFF19UvMXmc4M0hUZ6ejreeOMNrfNmZGTg1q1bWtuLiopQWFgIMzMzRb7Z9OnT4ejoiCVLluDSpUtax8jlcrXrNm3aFM899xzi4uKwZs0atX337dtXK5Fsbm6OSZMmoaCgQCtf6vLly9i6davWMZ07d0ZISAj++usv/Pbbb4LnvXXrFtLT0xW/T5kyBXK5HAsWLADHcYrtiYmJ+O677wweryq1Xc8jRoyAk5MTtm3bpvXd45+50DUA7ed+9OhRrF+/XnBcvKc1ISHB0FvByy+/DI7jMH/+fLXvcmZmpqKc+8svv2zw+eqTN998E+bm5pg3b54i30+V8vJyNdF15coVwbnkX5So5hjy+XMbNmxQ81olJiZi6dKlBo/RyckJIpFIcM7Lyspw7tw5re0VFRXIzs7WGhODwWgcsFBABoNRIwsXLkRlZSWWLFmCLl26oGfPnujcuTNsbW2RlpaGf/75B9HR0ejcuXON51qzZg2io6Px6aefYvPmzejduzckEglSUlJw7949REREYPv27YqeU3PnzsXRo0fRu3dvRS+Xy5cvIzw8HGPHjsWuXbvq5R5v3LiB0aNHo0uXLmjdujWaNGmCjIwM7Nu3DxUVFYqcK13MmjULlpaWeOWVV9CnTx+cOnVK0SMHICNo6tSpWLVqFQDgtddeM3qsoaGh6NWrF8aPH6/oaRQeHg5fX1+sWLFCsV+XLl3Qq1cv/PXXX+jZsyd69+6NtLQ0HD58GAEBAWjSpInaeZOTk9GxY0cEBQWhXbt28PLyQn5+Pg4cOACZTIY5c+Yoel65uLhg165dGDVqFLp3745nnnkGgYGBEIlESExMxIULF5CVlaVWmOGHH35Ajx49MHfuXBw7dgzt27fHgwcPsGfPHkXRDENZtmwZTp48ie+++w6XL19W9LH6888/MWTIEPz9999ax2zbtg0DBgzAK6+8glWrVqFbt25wdHREUlISbt68idu3b+PChQuKYgjvv/8+9u7diz/++ANRUVEYOHAg8vLysGPHDvTp0wd79+5VhIUZSm3Xs62tLX7++WdMmDABISEhan2sbt++jT59+uCff/5RO+b111/Hhg0bMG7cOIwdOxZNmjTB7du3ceTIEYwfP16wuewzzzyDnTt3YvTo0RgyZAisrKzg4+ODyZMn67yX9957D4cPH8a+ffvQvn17DBkyBMXFxdi5cyfS09Px/vvv11jko6Fo1aoVfvvtN7z88ssIDAzE4MGD0bJlS1RUVCAhIQFhYWFwc3NTNFnevHkz1q1bh969e6N58+ZwcnJCTEwM9u/fDwsLC8ydO1dx7m7duinmvWvXrhgwYADS0tKwf/9+DBo0SNCTJYStrS26deuGsLAwTJo0CS1btoSpqSmef/55eHt7o3fv3mjRogWCg4Ph4+OD0tJSHD9+HPfu3cPzzz+v8EwzGIxGxOMuS8hgMJ4c7t69y7355ptcYGAgZ2dnx5mbm3NSqZQbPHgwt379erWywPpKCZeVlXGrV6/mevTowdnb23NisZjz8vLiBgwYwH377bdq/ZI4juP279/PdevWjbO1teUcHBy45557jjt79iy3YcMGwRLdQqWhayIxMZFbsGAB17NnT04ikXBisZjz9PTkBg8ezB06dEhtX333tm3bNs7MzIzz8fHhYmJi1D7jS357eHho9d0xBNUyzxs2bFD0XnJ1deWmTZvGpaSkaB2TlZXFzZ49m/Px8eEsLCy4Zs2acQsWLOCKioq05iknJ4dbsmQJ179/f65JkyacWCzmpFIp17dvX27btm2CJdjj4uK4N954g2vRogVnYWHB2dnZcQEBAdxLL73E7dmzR2v/6OhobsyYMZyDgwNnbW3Nde/enTtw4IDOZ6mP1NRUbvr06ZyrqytnaWnJtW/fntuwYQN3+vRpwT5WHMdx+fn53BdffMF16tSJs7Gx4SwtLTlfX19uyJAh3Lp167T6nuXk5HBvvfUW5+HhwYnFYi4gIID76quvuIsXL3IAuLffflttf6Gy2prUdj1zHMcdO3aM69WrF2dlZcU5Ojpyzz//PHfv3j2d1zt37hzXv39/ztHRkbO1teV69erF7dmzR+fcVFZWcgsWLOD8/PwUfcD69u2r+FzXd6qkpIT74osvuMDAQM7S0lJxrW3btmntW1N58ZpKvmuiOUYhbt68yU2dOpXz9vbmxGIx5+TkxAUGBnIzZ87kTp48qdjv33//5WbNmsW1a9eOc3Jy4iwtLbnmzZtz06ZN427duqV13pycHG7GjBmcm5sbJxaLucDAQG7dunW1KrfOcfR9GDZsGOfs7MyJRCLF8y8vL+dWrlzJDR48mPPy8uIsLCw4V1dXrlu3btzatWu5srIyg+eJwWA8OkQcpxLfwGAwGIwGY+PGjZg+fTo+/vhjRagU48nkl19+wcyZM/HTTz/VyfvIYDAYjKcHJqwYDAbjEVBZWYlOnTrh3r17iIuLQ9OmTR/3kBgGkJKSohUymZCQoAg9fPjwodbnDAaDwfhvwnKsGAwGowEJDw/H2bNncebMGdy6dQtvvvkmE1VPEGPGjEFFRQWCg4Ph6OiI+Ph4HDhwAMXFxVi+fDkTVQwGg8FQwIQVg8FgNCAnTpzAkiVL4OzsjFdffVWwdxSj8TJ58mRs3rwZu3fvRl5enqLgwJtvvonRo0c/7uExGAwGoxHBQgEZDAaDwWAwGAwGo46wPlYMBoPBYDAYDAaDUUeYsGIwGAwGg8FgMBiMOsKEFYPBYDAYDAaDwWDUESasGAwGg8FgMBgMBqOOMGHFYDAYDAaDwWAwGHWECSsGg8FgMBgMBoPBqCNMWDEYDAaDwWAwGAxGHWHCisFgMBgMBoPBYDDqCBNWDAaDwWAwGAwGg1FHzB73ABojcrkcKSkpsLOzg0gketzDYTAYjP8MHMehoKAATZo0gYkJe/fHw/5fYjAYjMeHof83MWElQEpKCry8vB73MBgMBuM/S2JiIpo2bfq4h9FoYP8vMRgMxuOnpv+bmLASwM7ODgBNnr29/WMejREkRQP7VgN5GYCDGzDiLaCp/+MelW6uHAeO/gY4NwFibwDPTQaem/q4R6WkMcxnUjSQFg9IfOt+7WObgJ1fAmZioLIcGD8faN2z/s7f0CRFA+kPAXefxj/Wp4Urx4G9q4DCXCBHBvi1A15ZoZx//jsii6N1NWwWEPycUZfKz8+Hl5eX4t9hBvHE/7/EqHcyMzPRvHlztW0xMTFwdXV9TCNiMJ5eDP2/iQkrAfgwC3t7+yfzPzA7W6B9b0AEoG0I4BXwuEeknxZtgeueQG46ENAB6DoQyEslI03q9/jH3yYYsFugFB6PejyJUcDRdTQ/ju7A2HfrNgafFoCnL1BSAHj6A94t6vf8DU2bYFrjsjggz7Zxj1WVxKjGs6ZrS4u2gG8AkBoDSJoAo+bQc+BpEwwUTQD2rAIqK4DrR+mYOtwnC3dT54n/f4lR75SVlWlts7OzY+uDwWhAavq/iQmrp43EKGDX10ojuW3I4x5RzXgFkDHPCxdA/R4ag6HvFfD4xiCLo7lo1p48emnxxo8lMQoI3wOYmQNOUmDQdACi+jv/o0BzjY99l7Y3ZtEiNObGOE4heEHYexQgMtHzckEEmFsAAV2fjHXEYDAYDEY9w4TV00RiFPDPTiA1FgjsBdwJBw6sBXzaAkGNzHOl+faeH5ssDshIerIM/YZG6kfGeOwN+smLT2PgRVpgbzofbyjX1/kfBfw9uHoC0VdpzcfeBDISATcvYNpnjW+96BPHjdmTpUvERhzRHm99rlMGg8FgMJ5AmLB6WkiMAjZ+AiTdB4rzgdIiICcNSIgEzPYCrboCUxuJwckba6kxlI/RezQAEXD1GJCfRXk/ljZPn4FmrAGt6dGryzMUMn7r8/yPAqkfrZuLBwCIgPN7gaxUwNoOyE4Bboc1wnvggIoy4M45wKOZck03dk+WpiC8HQZEXhIe75O2jhiMJxwHBwecPn1aaxuDwXh8MGH1tHArDIi6CIitgIpSwFkClJcC5SUAx5EXqLF4fmRxJKoKcsjLEH8bsLQlo9jCGqiqBLxbASFjn4wcMUOoqwFdX6GIvPF7OwzgGuD8jwKvACB4IJCZBLToSGKlqoLWORphXg4ffllZXv0iYZS6h7Yxe2c1hTiHJ9PzxmA8hYjFYvTr1+9xD4PBYKjAhNVThQgoLwOqqqhimqmYxBZEgFvTxuP54T0O2amAjQN5qaoqgeJCKqhgZU+/u3k9mQaakIFZ3wZ0XYzYW/8AB9cBJYXAwZ+Aoa8BQ141fiwNQU33FxRCHs4H1wBnD8BZChTl0zpvbHmFQuGXAN1jRhJgLm683llVLxQnBzKShcfb2D1vDAaDwWA8ApiweloICgG8WwNRl+j3pChg1NtA54H0e2Py/MhiqWy5qydgak4GfnE+GWwAAA6wcWx8RqYh8CGZmvk+9Zl/Uhcj9tAvwG8LgYJcgKsCTEyATZ+QIOkSavyY6hND748DUFYCVJQDbXsBfkGNa53zCD171Xs0EwPdhzXOsfNERpCQNRMDds7a423snjcGg8FgMB4BTFg9LXgFAIE9gegr5KmKvgbcvwJM+vhxj0ydiMPA2nlAUR6FLfYcDpiZAfF3gYoSwMoOaBpA5ZyfRMNMNSRTNd+nPvNPjDViE6PIU1WUB0AOgAPkHPUmuny08QgrQwo93I8AkqOBknzKr8pIIA9oY/NWAcpn/89OIC+TXixoVmJ0q278KlQU4nEScRjYvoy+n+UlyhcCmt5kVriCwWAwGAwmrB4b9Z2PkBhFRhtEQHEe5XOc3wv0Gdd4jDSAxF5RHvVPSo4mz4mdC9BlEIWoNW0F9JtAIUdbPqcQL82Kho0+l0MknO9TX3lMxhqxsjjA1AywtgcKsmmbqSn95Djdxz1qdN1fxGHqk1SYS/dSnE89k8SWgIVN48oj1EQWC5zcQmv/8hESWmq5S/LGF0qXGEXzHXuT8jUBErCW1jReVXTl7jEYDHUGNsI80NpwjH3BGQx9MGH1ONAV6mSsYFCtCFhZRkaQqSmd68BaYNjsx2ukqd5Xy2DKq0q4RwZxkxZA3C3gxhkylONvAVsigeICCvOytgM6PqOsaFiXMLhHIciCQqgCY0aS4fk+tR2Xsd4vqR/g147+np9FlSNLCklsPbhGwqUxeK2E7o838mOu0z55GZSrJK8CRCIAXOPKI9Qk4iitWY9mQGYy/V1ViGQkN75QOlkcUJhDoruynLaJRJT/GL4HkDbTHmPkJSpME76bvM6NYT0xGE8pcg7IqlDf5mIOmDzh2o3BeJJhwqqh4Y1mVHswpH7CoU6Aes5F8EDDe0/x4WciUypewb8yLsoDLvxNY3hcRo6QEBr7LnDwZwoBzEgEXDwAEzPA1hGoqABy0sl4A0eVA+9fURqadQmDexQeAa8AEoGGih5jx2Wo90tTtPHG/JVjJMTLSwE7J/Ie7lmlbSw/Lu+g5v3J4ijkr7yUBDjHAdY2QFkx4NEc6DMGCBlXtxcUDUViFPDgCr0oiL8NuDQB/DvRZ3zpcjNx4ytiIfUDbJ1ITJmLSciamAE+gTRmze+earXP7FTh9cRgMOqNrArA/az6tvS+gJtYeH8Gg9HwMGHVkPD5CbmZ1MPGoxn96T1KO9RJtenpxQNUSjrqkuGGdmUlUJpb/QbfBDC3BLhiEigx1w0zchrCIBUSQm5edJ+unsDtcySw5JUUnlZVRfegiCfiaDsfelSXMLhH5RGoTchfQ45Ll2i7FUZeQlNzQC6nfmdW9iRcNPOZGkt4WkYiib/y4uoNIhLhZhaAhSWQltD4xsxzKwxIT6SQ19JCoPtweskRcUT5nb96EnD3BNr3VwrEx41Xda5jRiKJcK4SMDehsEbfIO3vnmq1T2cPCtNsDJ43BoPBYDAeEUYJq9TUVHh4eNT3WJ4uEqNIVN2/Qm985VWAb/WbXpGJcCiXuRi4forEUIuOFDJkiGESFAI0aU5vw928KAfFTEyCpayEttVk5DSUQapLCPENXstKaZz+nYBrpwFUAmbm1aFHIsDCCpD4KEtUGxMGV5ey1g3t/WjIpH+h5q63woCDa0mkcBxgUp1jVZFFpe4vHVLOa2Oq9BZ/h6oYikxo3KZmgL0zfVfMLYDU2OqS4FzjGbManHaLLV6InN5O3uW0OCA1DvAPbiRjBr2MMbekv5uZ0Vy36iYcXuwVQM2+8zJpX9VGyAwGg8Fg/AcwSlh5eXlhwIABmDx5MkaPHg0bG5v6HteTjyyOPFV8ToJIRF6oll2UhqumYcKBjBizMjLoDTVMvAKAZydTeB3fKNXGAbCypeuaiWs+V0MZ0bryZVyaUNnmwNbU4DUlhnKuTE3Ii2JmDti7Upig5tvx2niE6lLW+lF4Pxoy6V9VtJmJKfwvPRFIjiFhYmpO68XElJ5HRiLw7wHyTvQeDUDUOMLTIg4Dd8LIa8l7LnkBVVVJ+VbOUvpM2qzxVacLCgHcvIH7lwFwwL/7gS6DyWvVLAi4dJD24zjKfYu+2nhyk2Rx5E22sKKy9nI5fS8B7QqGiVFAVARgY6/dCJnBYDAYjP8ARgmrpUuXYtu2bZg6dSpmz56NkSNH4qWXXsLAgQNhYmJS32N8QuEo/E9e3SvIpw295dVl1MviyEvT43ngTjjQoT8QMtZwAcAbNEV5gLME6DSQjMvuw8hjVZN3R1evnfrw1qgKIb6yW1YqUJBF5/dqAzi5U4hRSgzl0Xj4AUNnAe7edStPrikYa9N0uLZis6b5ijhMHsyWwdqGM59rU5vwz5pQFbXpieQh9O9EeTD82rRxIBGbn0U5eiKQAIi/TWXvhXoWPUr4ohWZKYCjBMiWAeCoMl1pMZW1l1cCEJEgAYCArnQfjaUvlFcAeaEe3lEWr+DFk5MHvUypKFMKGD7/qjEg9aMxyuJJuJqL6UVI3E0SWqovHHQ1QmYwGAwG4z+CUcJq4cKFWLhwIa5du4atW7fijz/+wLZt2+Du7o4XX3wRkyZNQufOnet7rE8YIhIHvoHkCRg2GwidoXt3PizoyjEy/g0VVYC6QXMnnM7DCyS+Kp0sjn7qOqemZwmof28NbyTfv0xv5+VVVP3PxoEEoZMH0KITGW5VVcDV48pqgPzxtRF6dQkBBGoXpqfp3eo9CopiJV4B6v27bBzoGF5cNWTIHS9qE6NItGUmA+36kSdQJAI6D6L9Lh8lr1lmisrzkFDlwNqI0fqGf+Fg6wSkPawupGBJPZVMTUiMiExBnqADwInNgGtTEjDG9rRqiPBPexd6wZIaS+vD0Z08Pqj2LleWkRAJ6EYVAhOjGocoBAAbOxp/US7Q6Vng4V16Fh3603q6HUbzlZFIAvHOORYGyGAwGIz/JHUqXtGxY0d07NgRX375JU6dOoVt27Zhw4YNWLVqFQICAvDSSy/hpZdegre3d32N98lB6kfGSEYS0LSlYUaeCGQ41rZUqqoA8GhORr3IRGnYbPyEjB43L2DaZ/oNNr6fUU3GvjHGJ28k2zjQvLh6UjhaUT7QqVv1W24RebNE1Q1U+Qa7tQ3L0xUCCChDmPgx6bqH2uRzqc7XnXASkOYWyrHy/btcPcm4Vm3I+yiaq9Z0L9JmgJ0rcPUY5eOZmtE4bR21exY9SqR+VPQh4R4JE5gC1g4Uwth5EOVZFeSQge8koRxF/2Bl1Tqg9mK8PlshACSqT22llwWmZkDwIPIwXzxIQsRJAji4kRfo2kkg+jIQ2Ev9pcLj4lYYfVd9WpNX9cE1qjxaUUbj925NL4Pys+gZ2DrRmmFhgAwGg8H4D1IvVQFFIhFCQkKQm5uL5ORkHDt2DNHR0Vi8eDE+/fRTjBo1CqtWrfpvFbyQxVJ1rLISw3JnZHEUWtPpOTLMw3YZ7rXSNJplsWS4cXIg6gpw8yyFTmWnKIWKJnyIXmWF7sqFPLUROaoGqdSPhF9pUbVB6U7lmwtzyKD3DaLGHMV5IHXJVYd+ofZeHaEQQIDGnRpDAs/Shrwf+u7B0HwuXhzdCScBZWauDMdMi6fwP7EVve03MQUSI5VeCWP7UhkDL5xVnwsArH2bvBAOrkDoK7Rf+F+0HnT1LKorhogVrwBqPZCZBEh9qd+Z2AJwbQYMeLG6ul712k2NJdGek0YhjJERwJFftUPW9FFTKwRjvLe8qPYLoqIhRblA8n1ae4U51HMu7rayVxQnp/0ed+GNiMPAiU0Unht3k74vVZU0/226U3igVwD9dJLS2vYPpu83CwNkMBgMxn+QOgur06dPY+vWrdi9ezfy8/MRFBSEr776CpMmTYKZmRk2bNiAZcuWYfLkyThx4kR9jLnxkxgFbF9OlcycpFQunA+X0WVEqhrmmcnA9dNk6NamrxEAnN0JHPuNBJ3YigRVSQHlLVnb6h7vtuXAw9s0XkB35ULAcJHDC7DUGPIajZqjPCcnJ4Pz6G8UDliUBwx6GYCIPBIiERn3zlL1+THUqyO0v2qfnbR48h70GWd49UV9eAWQGN2zirxwBTnqIVFeAcDg6cCp7UCLDpQfpHpNTQEnJDrq4jXR9OCJoBQc5aUkvjmQd8K/E2DvRqLKK4BK4td3o2nN8ejr2xYUQmGMuemAX3sgP4PWzNEN9Hn4nupwQUdg8MskrK4cI3FSmAN0G2r4M9a1bnStd6E+dZrX4JtiJ0fTTxtH4OE9mnexJX1uYgaYyCm0saoCsLJ7vKF0fNhu8gPyvFaUAu6+QEo0fTfvnKdG2J0H0fynxihfHDT1Z2GADAaDwfhPYpSwunHjBrZu3Yrt27cjJSUFUqkUM2bMwJQpUxAUFKS273vvvQdLS0u899579TLgJ4JbYfSWt7KCDA4TEzL09L05570WB9YC+dnkzYm7pdvDpAlvqN4KIy+PTxt6gy8S0Zv+bBl5i4RCEm+FAakPqOJXWjx5LXRVLgQMFzlCDUNnf6fM67lf3TTVuzUZnbnp5KVr24sMfLemyvHW1quja3++z46TlMTcg2uAb1v9hmDEYQofdHAF+oxX3puWES1SevxSY7ULkLTsTAZpapz+EDshj6AsVt2jaKjg5g3/jCSlOLhyjNZFp+eAK0dpPOVlNDeVZdRTyUlC2+NuAWVFJGayUuovPM2Qvm2qQpJ/llGXgMO/krEfeYk8n3G3qMhJZXm10X+O1pOtE82XIc9YFaHiF0LrXfXFQWayMrdL89l0CaX5vx0OtO1Nws/MnLyoOTI6zt6JGmObmQOeLYEXFzxebxUftuvsQWHEYisg5QGJQWcPWisuTciTyVe1DNtN/85kyWi9slBABoPBYPzHMEpYdezYEVZWVhg5ciSmTJmC5557Tm81wMDAQPTo0cPoQT6RVFXSH666OmB+Nhka0Vf1i6XMFCArGUi8B1jbkxFsSHUz3lD17whkJlaHRTnS2+PKCsDdhzxGus5jJgZsLYCyYvIe6LueoSKHL8iRkUhv6gtz1T13ThLyGsXdotLwju50rqmfqRfRUC3rXBtjzSuADLx/dpJXAKBcFldPmhvftkDngfrnN+IwsOoNMoBNTOl5OHvoEMkcCYSHd+h+/Tupi4TwPeRByUwmw11XiJ1Q/6mw3dTo2daJ8lluhyn31eXB0vQK8UU83Lzo+rx3tKyIxL+8ghoFW9tRIZT8LCoSIbakBtT1EZ6m6uFxdK+u5CfS7tumqxgIVx0iKhLRWr35D3mv0hPIu5mdqhQE2amAZwvKaeI9sfq8fprXrEnU889JNQyOz+3S9D5GRdDaCP8LaNOT8i/zM+ln297Vouo+Pd/pn9G60Cxn/ijhw3YRQ9/Tpi1privLgNwMWhNxt2m+xr5L4pAXtinRhjUkZzAYDAbjKcMoYfXbb79h7NixsLXVEVqmQf/+/dG/f39jLvVk4uZZ3RS4ErCwodyEyjJ6Mw+RbrEki6MS5OaWgDyH3srnZ9cuhCk3HQgMAbwDyDMkbVazAAoKobAe3kvUZ1zN92iIyPEKoH5I8bfJSC8pBI5vomIEZmJAVu3NqiynnJioCCCoj3olO03PDT9PNRmciVHqYZEm1aXEq6ro7XuvkUDIuJrv4f4VyokxF9Pb+uQHdI5OzwmEQYrIE+XsQYJENc+EN8I9mlOIp7SZsBEOQFGqnw8l5FDd9NmchKK1PQmtmrygmgKtZWdal/6d6Pphu4C8LJqf8jJap89OobHH3qAqjdmpQEEuzZ25ed0KWQiJpVZd6T4yk9W9QbqKgZiJyTuVm0kho3npFOJaVkqfO3uoC4Leo2ld3b9c7amD7jm7FUZrVag5t9B6579zqTHK3C6haniantvSQhJ7JnxVRhHlLT3zEs17ZjKJ7obsn1YTt/6h6/sGAcNn07bsVCApmubV2o4KbPDfAf4lSnYqPYOaGpIzGAwGg/EUYpSwmjZtWj0P42mjOvzOyra6r5QHENgTuHRY2Gjj4Y2T8hIyGstLyZg2tEmwLi+SIQJI1UtUn8aQmxe9zc7LoD+JUSTcLh4G0uOU+2UmAfG31OdFyHPD93vSZ3BqhkV6NKPQTBMTCjtMjQXyMmnfmrwCHEeex9JCEkqcnIoNXD1OIlTt2XAkgPKrmx2nJyg/0jTCdVXc4z1bleXKJqsAebqK8kgYBXQloVqUJyzwNL1CfIPgO+dofDE3qDpkyFgKT8tKBiQ+gKUtGftu3iR4OJCnrqqK/lja1a0ogebzFJlQC4K2IdprT7O5cWUF3fedcAAiwM6JnkNJPt2TqSng6U/nUj2fLI6q12mGQArN2ZVjNBdpD6kcfdQl/d8H1e8cJ6fvdZaM1h3/OX8vvOiwsCbvVkkhNQuXNiOxrCmkG6r8vhCaXrxDvwA/z1fmgPkG0gsPDtRny1pKJdj50EhOTsf3Hk3n48NVWZ4Vg8FgMP5jGCWsfv/9d72fi0QiWFpaomnTpujUqRMsLCyMGtwTi9QP8GunXrRB2oyatGq+mdekTS+qqlVZAZiZkSAzFF1eJEOrrzWE8Sb1I3FYkA3Yu5Kx9uAawFWp71dVQeFmqvOiWtCDN0xTYyj0KjVGt8GpGhaZFkf3byIC5CCPhMiUvIe3wykkUFfOEl8mWy4nj5dXaxIDBbkUwqhV7VFEoVxVlSR6wv9S98ApmvUm0GeFueSJyUgiASr1E26yynEUvujpD0Rfobnkw/l05f2oeoVEJlQh78BaEpfpCSRSQ2fQ2tyzisaSk0ZePjNzElaDptNcp0TTHFSW1c1jpSs3T2jtaYqW8D1KkQUR0L4/rQs3LxKEdk7AqLfVPUw8/DV1zRlQ7S3Opu9pzDX6/fCvFKaqL69M1bt6ZAMQdZHG16qr8jivAJrn7cuA2FsUwpgtU+ZQRl5SF9LSZiTq7oTT9poEXl0Q8gpfPEjhofauyiIsbl7kTZf60XfPO4BCaV09ld41MzH9++UibTzNmRkMxhPF0aNHMXjwYMXvZmZm8PHxwUsvvYSFCxdCLBY/xtEZRmFhIb788ktcvHgRly5dQk5ODjZs2GCQUyIiIgKbNm3C6dOnER8fDxcXF3Tv3h2ff/45WrZsqdhv2rRp2LRpk87zJCUlwdPTEwCQnJyMmTNnIiwsDE2bNsXKlSsxfPhwtf3/+usvzJo1C9HR0XBwcBA8p1wuh0Qiwfz58/H+++8bMBP/TYz2WIlEIgAAx6lbl6rbRSIR7O3tsWDBgv/WQ9DlPdKXl6SaCA8OaN2V+jndv0KCzNhwoMQow/pYNURTVB4LG6qUV14KNGlGuShyDjj0M1UbA8iLM3SmtqeNr7RXWQHcPk9jfHiX9tdp5FeH0uWkkdFdXkICgePo72ZmNKdIrA4bg7pIizhM8558nwSSdyu6ZmEOea4qK6sNTY0wTakfeaHS4ulzzXAo3siOOEIGc0UZcO9f4H4EiSZXLxLkQg2N7VzoGXo0J8O7aYvq0D4T4bwfVa+QxBf4+0fyGAL0LHKqy9jzvbRO/0EhjwCNLSmajg0ZA+TKSIAW5tKLAWMxpgCJYm6bCYssG0eg61DlvQqdo/coyuVydAcg0i5MAUCRH5ebTmGRDi4UWpiRZJjHiG+QK7aidaZ5XJdQeu5RV6gxdo6M1n7cLW0hzY95+zIgJRZIN0Dg6aKm77WQVzg/i+4hN52qigb2qp6fZCD2Jn2Pi/KomEmngdpFSHzbGt+cmcFg/Ke5ceMGAOCbb76Bm5sbiouLsXPnTixZsgRlZWVYvnz5Yx5hzWRmZmLp0qXw9vZG+/btcebMGYOPXblyJc6dO4dx48ahXbt2kMlkWLNmDTp16oR///0Xbdu2BQC89tprePbZZ9WO5TgOs2bNgq+vr0JUAcDUqVORnJysdu7IyEj4+voCAEpLS/Hee+/h888/1ymqAODSpUvIzMzE0KFDDZ+M/yBGCavr169j6tSpcHFxwRtvvIEWLVoAAKKjo/HDDz8gNzcXa9asQVpaGlavXo0FCxbAzs4Os2fPrtfBN2p0vYXXTGrnjR7NPIyyEjIaVfMYjBE8t8LoLbrYSncfq9o239VEn/Emi6P8kT5jqSIeRNT3xtEdeHEhcOsshZgNm6k08tUQkYEbUJ2LY+MAtO5BoknIkFYNpauqoHA9kYmykAFE5LUyM6e/58goDE5RKOMwsPoNZU6TmTkZlHbO5O0pKSRRmBqjrJ7Iw3smeA+QmY6cJNWiHvIqKr2ekQSkJZBh6tpU2dCY94aIQAZtfgaQFAVcBuVKzf5efc41vUKcnIT1zTM0HxBVl7LXmK/MJCoCUZBN283FdGxQCM0774kxtJiKLoz1jNYksnR5gfn706zcp2n4ZyTTd6RZeyo+UlEBmJQJhHvqQOpHYjo7BYBI+7jEKCpbX1Gi3FZRDjy4SqHCvFBMT1QK++JCymUSEmqGYMj3WsgrbO8CdBlMIrB1V/K6yuLIG1teRms7Nx24cZbGrq8ICYPBaDDszYAd7bS3PcncvHkTlpaWmDNnDkxNTQHQy3wfHx/8+eefT4Sw8vDwQGpqKqRSKS5fvowuXboYfOw777yDbdu2qXnmJkyYgKCgIKxYsQJbtmwBAPTo0UOrKFx4eDiKi4sxadIkxbaSkhKcOnUKZ86cQZ8+fTBr1iycP38eR48exWuvvQYA+Oqrr+Dg4IAZM2boHduhQ4fg4+ODwMBAg+9HiKKiItjY2NTpHI0ZoxImvv32W0gkEpw4cQKjRo1CUFAQgoKCMHr0aJw4cQJubm749ddfMXLkSBw/fhzdu3fHjz/+WON5CwsLsWjRIgwePBjOzs4QiUTYuHGjwePKzc3FzJkz4ebmBhsbG/Tv3x9Xr1415hYblsQo4NB6YNMnwIGfyPgBp578bVpt1Bvat0kvourGsCLhj1XfWvMFFWpzL7u+Vt5HYpT657zhlplMVdvMxMrrtOoKvPkDMOw1MpaFzp2RpF7NztOfQiXtnMkI1byeaiidjQMVeuBD6YIHAs9OppwR6+rPfNuqV0uMOKpsSlxcAPh3Bka8SWM0t4KicTHHkRGpaTx2CaXz2Toqm+vyY0yMIq8FQPtIfEjkiC3IWK2qoHNWltO9qnqh8rNpHvIyqS9ZaZGywqQqvFdo+Gz6mZFMuWsKgVe9DviloDpfDq40Z25eNDe89yR4IODiSf2gKsprtz7qAv89ObRe/Tl7BVDRhy6h6veqzyPDl9d3kmivcT6/qjCb9vcPBka+BUz62HAvkVcA9SnrNQoYMkP7OD7UUBULa8DMgua3+zB6rvvWUBXKiwdpvMUF5Nk0VOBp3ntqDBUl4UNnhcbde5Qyjy32Fq2zshLA1gEoKaLvdUYivczITKKiPIW51Mj7zjllTp67N81lnf+9enxERETgzTffRGBgIGxsbODt7Y3x48fj/v37avvxURuaf1q1aqV1Trlcjv/973/w8/ODpaUl2rVrh+3btz+qW2I8xViYAOMk6n8snvDe3Ddu3EBgYKBCVAGAWCxGkyZNkJeX9xhHZjgWFhaQSqVGHduzZ0+tcEd/f38EBgbi3r17eo/dtm0bRCIRJk6cqNhWWloKjuPg5OQEgKLKHB0dUVxcDIDCBFesWIHvv/9eb3VvADh48CCGDh2K06dPQyQSYc+ePTrHcOHCBQDA4sWLIRKJcPfuXUycOBFOTk7o3bt3zRPxBGPUu429e/di2bJlgp+JRCI8//zz+Pjjj7F+/XqYmJhgzJgx+Oijj2o8b13cp3K5HEOHDsWNGzcwf/58uLq64scff0S/fv1w5coV+Pv7G3yuBoUXInG3SETxzUtFJkpvB5/8zefH1CW/QrPin1CIjlDui6GhgTU1C9aVK8N7UzZ9ohybqjGqWSqc9+AAJCauHKPQI83eR6r3YudCxmpxAQmTG2dpXl9cqAxp48/JF7GwdyXPVGUF/WzZGZj4EXkRzvxJ+5qYUSU6P/WebQoykskoVn17D2h7D4a+BmxZSl4wcwsqjS+Yg8dRsYvsFBI2IijDK4VQzfu5cqy6ImMRfSYyAaxslOXHVefLxJTCAfOzqUgBX3yD91pFXyXR9SiMZj6EVShnSehedZ2DF+Y5Mt2V+/ieTYG9KP8vsBeJqtqOl881Ki3W/lzqR2F1EIHeZ1VRLl5FOYn+jGQg4S7lsuVnkfi3tKY1xofW1frfgOrwvRpDZ1W8wnfC6ZouTWg77zHPTad9TM1IWHFy+j09AQjfTSG2tk4k4nqPemK9VYaG4QBkPK1fv17teKEwmo8++ggrVqzAq6++ii5dumDfvn2YOHEiRCIRXnjhhQa/JwbjSaG8vBxRUVGYPHmy2vaUlBTcvXsXffv2rfM1KioqDBZozs7ONYqNRwHHcUhLS9PrKaqoqMCOHTvQs2dPRYgfADg5OaF58+ZYtmwZli1bhvPnz+P69etYvXo1AOD9999HaGgo+vTpo3cMMpkM165dw9KlS9GvXz94eXlh69atGDVqlNp+W7duRfPmzbW8aePGjYO/vz+WLVumlUL0tGGUsJLL5YiKitL5eWRkJORy5X/iFhYWsLS0rPG8dXGf7tq1C+fPn8fOnTsxduxYAMD48ePRsmVLLFq0CNu2bTP4XA2KorBCJxIGqs1LvQIMK49eG4Qq/mmKJs3cl9o0ozWkWbCq50VVLN4KI7FTVUljcmkCDJtN+2sKNt6DkxhFHqX8bOEwSbUiEYk0xz5tgOunlN4KvhpdYhSN4apK2fLeo6hcffpD6v3VZ5zSaDYxpepzJmZkqLp6at8rL2bS4qkSoX8nZXU6TQHq5kX9gZykZPj3f1EpXNTmWwTY2JNHq6KcvFXWtkCzdvpzWXjB0KobcO0UFfCAiOZDtUdT71HA5aPAw9uUP2ZuQYZzbrraECAS6XR61huqDY315SwZch4+Z7GynDxc/sHCLyr40Mw75+j+rxyjvmeCoak6MOQFw6i3SSyWFlKVRXDUcuDohmqRLqK1ZWJCnqGWXZTl2I1CRKGP/sG6Q2cBKHISrxyjPEKIyCNs76z8Xvt3Ai4foe+FuQXNaXlZddGN6pw9/2Bam3WpHPmYMTQMB6Ck+pdeeknv+ZKTk/H111/jjTfewJo1awAAM2bMQN++fTF//nyMGzdO7c08g/Ff5u7du6ioqICfnx8yMzNRUVGBmzdv4oMPPoCpqSk+//zzOl/j3LlzBrf/iYuLUxMpj4utW7ciOTkZS5cu1bnP0aNHkZWVpRYGyPPzzz9j7Nix+OOPPwAAc+fORa9evXD+/Hns2bOnRk8YQGGAlpaWGDBgAEQiEV566SV88803yMvLU7xQysjIwLFjxwQdKe3bt288dngDY5Swev755/Hjjz+iRYsWmDFjhkI0lZaW4pdffsFPP/2ECRMmKPa/cOGCIg9LH3Vxn+7atQsSiQSjR49WbHNzc8P48eOxZcsWlJWVPbLqhBUVFcjPz1eEM6qhGhoX0I2MYyeVe26o6nz8GwJdeRf8NW+FASd+p2awzh60TZ9Ba0hBgojDwPbl5Dlq6q/0PPz9I1Ua4zgy5C/sp7f9Y9/Vzv3g5OrGcmaysjy1ppjjxxBZ3ZS1pIhE0cO7NNd8Hkv4HvJ4ZaUAnZ5Viq7Xv6OmwnmZJDIhos/snACYkFcLoDwYTeOb70Vm60gCsLTaUyR0PwD9PSeNilKo5lSploGX+gGeLYHCi+QxsHME7N0AKzv9z5y/ZtxNMn5FImoB8OwUdc9g+B7yoObn0D7lxSRoHN2V91RRrqN3l5EoBFR1iFnLYHqpwK/N8jISksUFNPbahsJp5iwCgKOUvG9CXi8XD6C8WiQk62hwq8+La8gLhiGv0n2c/oPWHccpRWPwQKVn2bsVFQ1RrbhnTO6j1I++H7npusufa+Yk2jkpX1h0H0b7cKC5eHEhFdTITCEBZm5BP1Me0HrX1cfrCaJnT+0qrPrCcKqqqlBUVAR7e3vB8+3btw8VFRV4/fXXFdtEIhFmz56NiRMn4sKFC099WAyDYSg3b94EAHzyySf45JNPFNv79euH8PBwdOjQQe/xw4YNw8SJE9VC4TRp3749jh8/btB4jLVH65PIyEi88cYb6NGjB6ZOnapzv23btsHc3Bzjx4/X+mzAgAFISEjAnTt30KRJE3h5eUEul2POnDl499134ePjg7Vr1+L7778Hx3GYN28eZs2apXaOQ4cOoX///rCysgIATJkyBcuXL8euXbvwyiuvAAD+/PNPVFZWCr5w0jzf04xRwur7779HTEwM5syZg/feew8eHmSAp6amory8HF27dsX3338PgMSWlZUV3nnnnfobtQDXrl1Dp06dtNy2Xbt2xc8//4z79+8jKEhH6FY9c/36dXTt2hXm5uZwd3eHVCqFRCKBVCqlv4vdILV0g8TZAdJLpyEpy4LDlaMQTfu8/kWVZkidSxMKK9P09qiGKKYnkIGVnUpenpoMJVWPlOrv/PW3LQeiL1PoWl66soCGSERCASIq5e3gqsx/6TxIvSJg+B4KVeLzge6EAx36Uy8moWIcfMGGojwKBbO0oSpsyVHAmT/IgC7MJcFQUghcPQG076f02J3cQsdePkIGbXkZlcUuLwHS4+lejv6mFAS8wc17Pwpy6FxmYuH7+WsVlbQuyqcqhQFd1J+DZlPk4IEkwvMzgbjb9PzuhFOTX/9OUOR+QaTuiew9qrpCYjoVQgAoF4ZH1YOaGkPGstiB9s1Jq84J42oWDbVBsdZuAvF36PyWtkC/CeoV5mydqYpk50GGNXNWg6Pnl5FI+WIP7wL7f9AOHQVIZF/YTzlW8iryVGpWdKypEIShFQ+7hNJ6UQ1z5EN0Nft5HVqvu2GxIWiG4Qp9P1Vz7HjRzz9nV0/ypmUkkVd36mfAvPX0/T2wFkiNo9w7a3sSggFdGq4s/GNEVxhOcXEx7O3tUVxcDCcnJ7z44otYuXIlbG1tFftcu3YNNjY2aN26tdqxXbt2VXzOhBWDQfAVAQ8ePAixWIy0tDQsX74cV65c0VutjufevXtq4bpCODk5aVXTM4by8nJkZ6vnzbq5udWrB1omk2Ho0KFwcHDArl27dJ67sLAQ+/btw6BBg+Di4iK4j62tLbp166b4fcOGDZDJZPjwww9x4sQJzJ8/H1u2bFHkaAUEBCg8exUVFTh+/Lha4ZBWrVqhS5cu2Lp1q0JYbd26Fd27dxd0pPj5+Rk9D08aRgkrZ2dnnDt3Dnv27MHRo0fx8OFDAMDAgQMxaNAgjBw5UiFwLC0t8csvv9TfiHWQmpoqGCPKi76UlBSdwqqsrAxlZWWK3/Pz8+s0lrS0NAC0GJOTk5GcXHOJaguTCEhWn4LUrwX++OMPwUVYUVGB0tJS2NraanvCdMEbTqrGanmJtrdHFkeGrpyjN9dmFkDzDuqFHXShz+iUxQHF+dXJ8eXkPeKLQ3QZBPz7N+WUmFWHQKka7vcvk1HoJCFPmoWV0sD3aC4sqhT3couuW1VJ20QmgFdrMlTlVUBWJvUTys+kKmhWtiRevALIW1WUR4UykqPpvrwCgHvnyUCtKCMPWHEBeR9y09XDJjVz5RRCpDqXxc4JuHiIclXMLUlg8j2vNEPK/tlZHaKmkndXWkxGcGYy9Z068BPdQ1E+hSh6+lNZfYAE6c1/gIwEuo6lrXDj4sxkoEUwVR3MSiUhefQ34MYZCgvza0celfroT8TfI8eRR8/ElIolXDpEIoKvMBfYk8bVskvtq+GF7yHRbmJK66uynDyQ106SsFTNobp/hb4Tnv5A0n3y2Nk7a+dh6Qr1U/Vk8WGfgH4v77TPlIVHVOdU9ZyqIaVeLZXFWmoTDsk3itbl+VL1tHk01w7VjbxEazYrRdn7DACObaLvQkkBvVzoU1vh++QgFIbj4eGB999/H506dYJcLseRI0fw448/4saNGzhz5gzMzOi/1tTUVEgkEq1/r1X/X9JFff+/xGA0dm7evAkfHx8MGTJEsa1Tp05o06YNfvzxR3z55Zc6jy0tLUVSUpJgARlVhASRLvQJpfPnz2uFFNZn6GBeXh5CQ0ORm5uLsLAwNGnSROe+e/fu1aoGqI/8/Hx89NFH+Oqrr2BjY4Pt27dj7NixGDlyJABg7Nix2Lp1q+L+wsPDkZ+fr/ZcAPJavf3220hKSkJZWRn+/fdfRcizJryn679ArYVVSUkJPvroI/Tv3x+jR49WC717nJSUlAiG+vFhiiUlJTqPXb58OZYsWVJvY+GFVW0okwMJGdlIyLikcwFeu3YN3bp1g5WVlZoXTN9PG95wUjVWEyO1vT0ZiUBCJIkNE1OgcxAVbRDyBmmGQ+kzOqV+lEeUnUKCxFxMAi4xit7ev/WDsseQu7fyjXfEYWq4mpVE4zU1A85kA/1eUC9FLjS2jETq2VRRbZRUVZIoK8ghgRJznYx6K1u6X3kVebT4nCknCV0v4R4JFv9OtP3UFhJTEJEoMjGlvKTMFPWwST48MPoqHas6F2Zi8o5VlCrFmVtTpYdE1dA1E5NxrRqWmZlMnjtLayAvi+Y9P4tKsZcUkCjOTSOPgk9bmuvctOrQQxMAnHrulKan5VYYCSp5JfDwHgmxuJvUJLhlF+Gcrtr2QOPnITO5uvS7nIx5UzMStwDdd03NtHXBr8fgQcCFfTTHVeVAZirlyPGeRv45tQxWFrYwt6AwyCwZcOsfdU+kkNdO0yNckq8UuL3HCIce8vOu77ulGlKamUxr4Mwfwh43IVTHVVFG66umnERVb1NiFFWTrKwAxJZQ64Z9K4yEuq0z5Yv5tXtqRZWuMBzNks8vvPACWrZsiY8++gi7du1SFKVoTP8vMZ4+MsoB97Pq29L7Am5i4f0bOzdv3lR4c3lat26Nzp07Y/fu3WrCqrKyEp988gl++uknuLi4YOHChWjevHmNDYSFBJEu9AkloZDC+godLC0txfDhw3H//n2cOHECbdq00bv/1q1bYWtri+eff96g8y9duhR+fn4KIZaSkoKOHTsqPm/SpAmuX7+u+P3gwYNo06aN1ly88MILeOedd7B9+3aUlJTA3NxcLQ3ov0qthZWVlRXWrVtX44N+1FhZWam93eMpLS1VfK6LBQsWqIUq5ufnw8vLy+ixyGQyo48ViURwdXXVe96SkhLExcUhLi6uxvPZ2tpC4uIMqY0YW0MD4ZOZrOXtqaysREVaEqw4OQmfijISFZro8kzpyy/h384fWAvcPAu06ake1tQlVLhIAO9FsHEkkSSXA7kZwNkd5FFx9VQ35lXHVpClbDwMkIDpMwFwcgf+PUCGYsx1Cj+srCCDvqKcxhVxmLxHdi7kRRv6WnVz18N0HhNTEgMSH6DrECDyIomyjERl2KRqhbiYG1TxjTewgweSN01sSaGINlY0Lt6zpVl848x2ElXZqVTN70p1oY3yMmrcm59N4ykrpp9yjjx1N8+S4CsppHsUmZCYNBMrhaLqM1I1jMN2U3+x8jLq6WRqRnllqbHa4WjG9kATAXBwI0FYWU7zIfEl+z1IJSxOVwibPlTXo2dLutb9yySqPP1JiEZfVa471SbJkRdpLmOuAin3SZzynkghAXIrTBmud+cceXYsbEiM5siME0J8ERU+pNTBjUq1y6uEn4EQqi87NEP8hHISNUMj+V5svND00yyUIqJwWlNzmtsf55IHujYFPxo5hobh8MybNw+ffPIJTpw4oRBWjen/JQajMSOTyZCeni4Yyjdo0CB88cUXuHfvniKs9oMPPsC9e/cQFxeHgoIC9OzZU6sSnRD1lWNVHyGFxcXFSEhIgKurq8Luq6qqwoQJE3DhwgXs27evxnvKyMjAiRMn8OKLL8La2rrGa96/fx9r1qzBP//8o/CkSyQSREZGKva5d++e2r0fOnQIw4YN0zqXq6srQkNDsWXLFpSWlmLw4ME67df/EkaFAgYHB+P27dv1PZY6wVcU1ITfps+NamFhUa+FLebPn48pU6YgLS0NsluXkXZkG2QZGUirMIXMwQtpmZmQxUYjLb8IeWWVase6uroqwkg0McYTVlhYiMLCQsQAsNqyCagq0MqDiIiIQM+Xl8LeDJCKAYkFII2MgiTzfUiCuii9YNmxkDyMh6RtF1gk3lEaeIbkl/i0JePR0JLdvBeBD1vjiz2Ul5KhmCOjEDXemOcNXKkvEHuTjFCRCRThd07uJCbTHipziQqy6LylRUBFEnB8E+2fHE09hgDyYgAk9EQmQPP2ZNx2G0q5P5ePUtig2BLoPbra23ZEPfwyM0lpYLt5AuCqG0A7AENmUoid5rxxHO3r0RxADIm2wJ40jmbtSWDZOpFHKT+LrmXnROFuVeWAS1Myxjs+Q+MryqN7HjlHv/HLP8+oi4CjG4lNG3sqUqDaSJmnpmp4QvDFMAJ7UtPc5u1J8MTdVC+hL/E1TrRprkeAQiqP/kbPU2ypLMzBw8/J5aMk5EUiEqTyKhLCfBicpqi8cgzISiZB5eBKQkNeSS8CXJsqcwZrI4Rib9C8t+lFa7Mon55r/G3yoOosm66CZtsBv3aAi1R/KCdfJfNgdf6Uk5TWXfdh6t7toBAqsBF/h9bVpYMARFR2fd7PT4W4qk0YDo+VlRVcXFzUwow8PDxw+vRpcBynFg74OP5fYjAaM3x+lVDKxsCBA/HFF1/g4MGDaN26NVJSUvDLL7/gwYMHcHR0hKOjI3r27GlQ49r6yrGqiTVr1iA3N1cR7rt//34kJSUBAN566y04ODjg0qVL6N+/PxYtWoTFixcDAN599138/fffGD58OLKzs9UqkQLQKgzBF4wwNAxw3rx5mDBhgppncOzYsRgxYgQWLlyoGOuBAwcAkNfu3r17WLt2reD5pkyZoqjE/dlnnxk0hqcdo4TVd999hyFDhqBt27aYNm2aTiHwKOnQoQPCwsIgl8vVClhcvHgR1tbWaNmy5SMbi1gshpeXF71d7NwZeLa/cKhNWjxKHKRIy8hEWtQtyORilJdXqFeEU6EunjATExO4tOtGb+014AVbfiX9uV8MIKcAiP8b2PG3wNmOw9FKDOm2W5B4emHz5s3wEghtqqqqgvzhPZjvW0VGc1o8iQF3A9668sbZwXWU51NZSR4sczGVqi4pANr3J8OR72uVFk/XsbSh3KWqShJDjm7KkDze4L50CDjyG1BVBIAjQzorBbCyJ1GV9lA9bIwXenx4Gl8GW7WcNV8UQlEB8BwJKKmvSlNalWNSYymvTHNdaHou+JwXgLxYfPl5dy8SVZ7+lNclbaYUENGXabz9JlAFwYJMZVPdGud+EBXtyM8ib4WVHYnYQO2KaQZVw1OF7y1VUUYiCiJ6rk5S8nyoCjSOq71o49Fcj5M+JpFw8GcKlwz/i0IwVecjI1nphZFX0fVjrpG3J2yXtijhy9l3GwbcOQ/4BFLIaWYyiZm8TArlq60Q4kNA87MAcCQ8RaDvTnmpYeXM+bXOfzeiLwNxYmVEn1AY4q6vSdQmRgIQURGXgK7CuYyciDxaZUXKbdkp5PV7woVVbcNweAoKCpCZmQk3NzfFtg4dOmD9+vW4d++e2nkuXryo+JzBYCgrAgp5rHr06AE7OzscOnQI7733Hk6ePIkuXbrA3V35giwjI6PGwhWPkq+++kpRfwAA/vrrL/z1118ASBzpKsbBh+Dt378f+/fv1/pcU1ht3boV7u7uBonFQ4cO4Z9//tFqeD5s2DB88cUXWL16NTiOw/LlyxEaGqo4xsHBAb169RI85/Dhw+Hk5AS5XG5wKOLTjlGKaNq0aTAxMcFrr72GOXPmwNPTUyukQSQSKd5A1DepqanIy8tD8+bNYW5OTVLHjh2LXbt24a+//lKo58zMTOzcuRPDhw9/vG/+eCNPs4y2VwCsIg7D98Aq+FZWkPEqAnDgtOAb+vfeew+TJk2CTCYjb5ien5qx++4uLjC9elxQsBnjCcstKUfug1hEPojV2aPs4sWL6NWrF1yszCERA1KzSkjsCiF1KYIk7X+Qdu6jlg/m5uamLtL5CmqbPgGSoqnQhIMrGeHWdiqNhkEGrn8wiRnvNkBSFOVQ2TiS6ACArZ8rc2skvuQtibtZbfhyZLA6S4DiPO2wsYnVfRkuHyWvgbQZ/W7vTAa2ajlwvhpf4j0g15yMbt4rxR/z8C5d5/ppEnH8s1YtNhJ9lY7jCwYA2p4YPlyO73XUsjNw4zTNUWoMCQhzC5onfsw1oeq9ib4CFBeS9+vGWRJ2quvS0Gp4gLpoLCmi9c6HhopAovnqcfW5NLYaoVDel5sXed8KcigUdPsyZZgmUB1mWV3mXSSiAi4AhfYlRCqrWfLwYigxksRh0n0S2LYOtPYgUla01CzdrolQCChfKr6smMI7c9JqaPQrcE7eOyjkPRWqDmgmpv1NTCjstUVH7XHL4qiRtLkF5VjxyOW0XmpTYKORYUgYTmlpKSoqKmBnp97u4LPPPgPHcRg8eLBi24gRIzBv3jz8+OOPiqRujuPw008/wdPTU7C8O4PxX2T+/PmYP3++4Gfm5uZqxVsyMzPVQs5kMhnOnz+Pn376qcHHaSjx8fE17tOvXz+tZrlnzpyp1XUuXLhg8L5DhgxBQUGB4GcffvghPvzwQ63tBw8exMCBA3U6UExMTGBmZobhw4cL2oKLFy9WeOP+KxhdFdDFxQUBAfX/n6ch7tMFCxZg06ZNaomFY8eORffu3TF9+nTcvXsXrq6u+PHHH1FVVdU4EoB1ldHe8AmJAEd3MuItrJSV0TQMOSsrKzRr1gzNmuk3kDmOQ2FhoVJo3b6CyvN/U/U4AcFWF0+YqampzvKe/HmzSiqQVQLcBYCsIiC+CLjyG4Df1Pbn88t4obVp0yY08QqgMs//7CQRIhKhqsdIICgEppmJSmM76hIJCUd3qjpYVUnl00uLySDd9TWFLdlUvyXqEgpM/4z6a2UmkeFqakZv4rsPB/7dr/TY8D20APpZWUHGb+9RSg+A+r+NoCarLkCvdtQE2q+dskJbcQGdu6KUnoNqzhlf2IH35lw5pl01TtNo1fRweTSn322daKwBXWvv8ekSSteXxQNu3jQOeRXNsVDzW0POqxruduUoNcNNjKIcJldP4bkM6EqiqzbVCFX7nZmJSVh3CVXObXYqzU1KLHn3oi7RdTITSUSJskkYVVWRWBBB2QdOFV4Mhe2itekkobnx7kHeSJFI6VU1ZO5VX8CE76ZjzC1IYFk7AK17UAhsrRrwciQW75wHINJdup2fm6QoOkYu130dqR+J1KQo9e0mpuTxq48+Z48JQ8JwZDIZOnbsiBdffFFRgezo0aM4dOgQBg8ejBEjRij2b9q0KebOnYsvv/wSFRUV6NKlC/bu3YuwsDBs3bqVNQdmMIwgICAAK1asQGJiIiwtLTF16lSIRCKD+qUyake/fv0QEiJQtKqavXv3IiMjA1OmTHmEo2rcGCWsaquoa4Ox7lNTU1McOnQI8+fPx6pVq1BSUoIuXbpg48aNDSIAa41QLkpkBJBwl94Qp8WTgeks1W1UG4hIJIKdnR3s7Ozg7+8PWBQCqXZKL4iGYHv33XfxQqAnZNu/RVpGBmRF5UjjLCFza4G0pATIcvKRVlIJWWEZKivVc8Lc3d2VoZcaXoLaesI4jkNGRgYyMjJw69YtpZdRFgv89S0ZmCIRLly7gb6nsuHu7q70eNlaQmrjAonYBdLkG5CUyCE9dwaSoC5wzsmASVEe3X9qLHli+KIZ0mZUWOPsTjKeE+8CfcYAXQbTfomRlNcUe4uMWtUKfdFXyVMm1DhXtYy5a1PyjN2/TMUmZDGAqZg8EXfPU7U9VW9X8EASe7qMYM3qcZoeLj4ELEsGxN803uOTkURepNQYEmiqOT61rQSoOid3wimMzNaJCoi4e5HnSHUub1eX+uYFo1A1Ql1oNgdWbfY7ao6yyS2gnOP4W1QFsaSI7s+kuqCJuZjEuX8n4TF4Bajn7vHVBd28SJDxoX21KZXuFUBFN26cppBXc0t6vqVFJJoNfY6qzX+tbckby4eycnIt7zmCB5LHqaKcjgHopYDmuPmCNM3aUV6iLJ5Et5m5YX3vGjGGhOE4Ojpi2LBhOH78ODZt2oSqqiq0aNECy5Ytw3vvvafVS3HFihVwcnLCunXrsHHjRvj7+2PLli16m5gyGAzdDB48GKGhoQgMDETTpk0xYMAAZGRkaH33GHXn/fffF9x+8eJF3Lx5E5999hk6duyIvn37PuKRNV4ef3KUBoa4Tzdu3IiNGzdqbXdycsL69euxfv36+h+Ysaj2ktEMa7p0uNqIM6GEd4DyWIryjG8KKkQNXhBbW1sEdAtBwL1j1U1LrclA7zSQjqkWg9ywWchp3lUt5LCqqoquEXGYvD/FBUBTf2DqZ0aFGPKYm5vDycmJfjn1BxnJ4ACOQ1p2HuRyOWQyGWQymf6Q04N/w8zUFO5iQGqeBomFCL85nIK082ESVl4BVFhDtBPy4gKIwFFQHe+xibsN2NlQ6B6grNDnJCFjO+2h7mqIqqFd/Dye30f5YlZ21FjVrx15S1QJCiEvilC5cV3V41SfrasniZLUGArZ8mlL+9XW48OHhrXuTt4XaTMSDZnJuvsi6UPLw+NOpedLCoEm/iRiVMM7jc2vUvVMOXuoN/uVNqNtxYUAOKXHjK9y5+FHDaBFIhJ+7fuScAgZo/v6qs+aLx3PyUks5si0i3LUdB8Rh4GIQ0CVvDqkEBTmyoewGjoPqs1/Y29QEQqABPfRDSSgVJ9fUAitn8IcGr9rU2WDa81regVU561JqfGyqZhCdQN7P7HeKsCwl4aOjo7YvHmzwec0MTHBggULsGDBgjqMjMFg8JiYmOi0AxmPhrVr12LLli3o0KEDew4aGC2s8vPz8eOPP+L06dNIT0/HunXr0LVrV2RnZ2Pjxo14/vnnmVtWXyECrwAqEnD2DwoLs7Kn/CFnD8C3rfE9fIRQ9YJIfYH4u+Sl4Qsw8G+tNZuWAmQMVhu7IqkfnJ2d4ezsrJ7QnRgFbFtOCfKm5kBeOvDPTszrG4Sxx/+GDFZIu3AMskNbkJaTD1lxBdLM7CCzdEVadi4yMjIgl6vnjah5wjSQVdTurVRlVRVSSoCUEgDgYJGbpu7FyE4FSosRnl6G5/4tgeTMQki9f4bEQgSp7C4kppWQ2lpA4uULqZUJJNaekPp1gp3EDyLeOyQQKaYW2sXPY9OWgIsHiWeJH+Xm8EZ371HK59F7lDKfS+3mNTyfIhN1D1diJBUQSLpP1+CFXXlJzXk+uq5h70q5ajlpJEKyU5Ulxmsr/nkPT8wN8piUFpHILMim0E2RiASrtJna2qvV90DVM1VcSLlcqo2wVSsS+rUFhs0mr+jlIzRnLk2BnsOprH9pMX0fa/KYqYZD8uXKKytIrAn1kNLl8UuMomPzMumFS2kxCdDOg6q/r7WBDwM8pwy3DN9DVQ6zU6myperzU/VEXTlGokqtwbUAvBiLugh6EXHzic6xYjAYDEbNMGGrG6OEVVJSEvr27YvExET4+/sjMjIShYWUxOzs7Ix169bh4cOH+P777+t1sE8cQiWUXZsqP+8SCgx/AziynkKP3LzIgON7+NTm7XRN8AbQjTMUhpUeT/2KmgYo+/QI5cqovonX1U9IFkc5SmZi8ryVlQJXjsHh/mU4OLqj7dh3gXJ/4N8cwK6McjF8mwIzVgKdB6GqqgqZmZlqBTjUhNaAF4Abp8jYNBdD5hkA3IowahrEJoCjpInSiyGLBQ79DJQUQlYiQrkcSEzLQGJahsaRpcAVFc/YxiuwNFsBqaM9JJYmkNqI8fPEZ+E+/WP1Cn+yOHASX2DMOxClP1QvOqHqyboTTga1uUV1o9kCChOFiAzhqZ8pc7A0PZ8SX2U1t8xkMsb5vDEzc8obykgyXACpXqO8jNZNZQVVuAvoAlw5riwxrlqUo1YPojp3jfcs2TmRUV5RrizmYcja03kP1Z6pqiRFXQ/Fval6+LKqQwI1mzp3CaXnp0s064IXRpEX6VnaONA1VZ+Xvt5ffKVBPszTwRUY/z7dj45qoTrHwYcBmomVoj03ne7v4gEK8/NtqxwTL/QmfQz0GWfYv0FeAUCzoGqh3YHW3hOcY8VgMBgMRl0wSljNnz8fBQUFuH79Otzd3dVKXgLAyJEjFTXw/9MIlVBWDb8ByGiurACqSimMDjC8GEBtUORQXCZhU15KpcCbd9Dfa4ffpq+fkNSPPDF56ZTw7+5F96saxhV/G+CqqNqevIqKS1Qb5KamppBIJJBIJGjXrp32GLqEUn+caqN3Xux9jHYsQ5qjN2QpyUjz7giZmb1WZUTVfjKKodpaQmTvonwT/89OCkUzM0NaSan2tfVQWilHfGYu4qt/31SUre6RqJ6zs5mVGLrhFCRSqbInmFQKiaUppEmZkEQehtTCBBJRNqTNWsI6OYo8DWIryvtSFUWaVfgA6j0ktqJKiXZOFMJ55ShQ4kieIHDqlfZqQrVU9/HfqVk0X/TjdjjlI/kFUb5Y8MDarVV+XmJv0BqwcSTj3yeQvEWqa4b30BjTy4r3TGnmv+kTAkLNqvk8L0PD+GRxJNZKiykMszgfGDBJvVcZ3+dMKMxR6qfeu4wvo1/bOdAMA+Q95XzeX0A3oPNApSdO6PyGCrjYW1R2XbP6JYPBYDAY/zGMElbHjh3DvHnz0KZNG2RlZWl93qxZMyQmJtZ5cE88uvJsVPv0ZCRSrg3HKUO3gNoXBjCEoBDgeFOqmmdiBkBOng3V4gmq8G+xM5L057t4BQCDpwOuTegNu38wvS1XfUvv4Erlq6sq6dqdnqndvfFGb2IUnI9sgLNpLlCQB3TpCkx9XzC8qjzmFtLvXUeayBoyWFLOV7YM6Bes9II4SSiPpbQYaVXmACqMmlpLUxHsJU3UQ86q5yztziEUl5QgLi4OcXFxNZzpOmzNRBR6aM5BammKnya1gqtm/hZ/vxs/IW9XcT7177K0odAvv3bkpchMpmNqWwSFL9VdWa4Ud4W55OErLqDf2/aqXVEJfl5SY0h8Z6fQ2nf3oRwroUIbxjQgBnT316qNEKjttfmCH/IqWl/W1WLUxEQ9jE9f7y9N4cwLsdQYZQl9Q+ZA6BpeAbQmVL1yQPX5Y+m7kBpbO4+Tai+vB9dqL7QZDAaDwXiKMEpYlZSUqDVB1ERXnfz/JEJ5NqrGlFu1gQkReRU4uXFv6A0dy8QFVGSipIAMtZAxwka3ZgED1cICmoYoH3aUm05v6kPGaRuHfcaTwZ+WAEi8gWGvG3cPugw5XmRkJNKcDp4OcfgeNM1NR1PFPA7VvjdHd2DITODC33jbvQTPBxQgraQKsrQ0pJVxkJVWQVZphjRTW8jMHJCWlS24viVODhCNe0+7KmDsDciqzGt1i4WVHB7kluJB9e8bpnwquAZOH9iLUZ//Rblg5nJIrCogdaiAtK0IEjcfSNPlkEg6QCqVwt3dHeJajaL6HmydKO/J0Y28nOWlgE8bMsC9WunPFxKEA1Kr+yBZWAOdn6Ncppun6bl2HkTrhz9PRiKJ/9w0wDeo9l43zXC22ggBQ5ofRxymqpFOEurBlZEEiC2oV1lVFeXI+XcybGyqn6tt40ggx94ExJbAxUNAVISyJ1tN98+/RLj1D/U1q6ygcEtFzh1Hc/zwTu36ZKnOUWIkHevqafixDAaDwWA8ZRglrNq0aYN//vkHr732muDne/fuRceOHes0sKcOXcaUZsEIY9/QG0JiFAAR8OIC9SIamvsIeam6DyPBInSMZsnv22HU1FbTqzX7+7rnjqmWMVctKnArjBLoxVYkVF2bKMd/J5wq0YWMVXpiVO8tZAzQdzzcwnbB7fpp8siYplRXdxMBPq0AS1sg9BUgdAaKi4uRdmwHZFu/Qlo5IMsvhmnP57Xvt/p5p2X9BeCCUbdrbW0N21adBD+TVZkhr7wKeeUA9VEvB5LLgbsngB0ntPZ3dnZWa8j8ww8/wNnZWffFVYtApMQqq92lPaRn0HmQ/nwhITKSKczR0oZ6JRXkUvPnyjKq/GhpS8IKINGy6+vqfmKWwKCXa+9109xf1/rRdbw+ARRxGFg7jzzNHEdzY2FD3sMWHShcsvMgYfFTq3Df6gqFVZU0z0fWkyjlC5tonl9V6Ep8lT29ku5TsRBbJ/LYKf5tEdF31z+49n2yeC8YX6zDkGbIDAaD8ZjYvHkzvvjiC8TExMDGxga5ubno168fgJqrgp45cwb9+/fH6dOnFcc8iTwt92EIixcvxpIlS7QaMTckRgmruXPnYurUqWjXrh3GjSMjSC6X48GDB1iyZAkuXLiA3bt31+tAn2hUDR3Nyl5CBlZNb8mNHUNNBrBqY9XKcjJ++XHoCyXjCwKc20PGX9gu4f3rI3dMr7Erqm7kKqJKdqXFJKoyk6m8N18UQVeYFF+t7sFVOoeJCQBTypmxslOUqbf2CoCfpwR+dpXVVeQcgJGDhMfqFYA5Tdtj6ItTFPlfadfOQXb1HPUKS09HGieGLDsPpaXaOV4SiQQikUj73IlRkMXcr9XUZWdnIzs7G/fu3QMA/PLLL4L7nTp1ChMmTFDmg1VVQJLHQerdHJLiNNreogOkpvZwTX4A09q+CDAzp8IOJYXkJclKpr9LfNVLo9+/QvPr3Zr6h+Wm1+p+BT1pQutHaD9931kefnyuntQDSySivMWyEiDmOgkfqf5m3gYh9aPCIWnxJDzzswCphH5GX1UXVprf84Cu9HcnKe0rr6LvQ2W50jPF53XlpteuT5YCET1PYxpRMxgMxiMiMjIS06ZNw+DBg/Hhhx/C2tr6cQ/piSMlJQU///wzRo4ciQ4dOjzu4TRKjBJWL730Eh4+fIiPP/4YH330EQBq2MZxHExMTLBs2TKMHDmyPsf55KJP0Bhq+NUHml6a22Ha19ZsrOrZgsRGTfk5fEGAm2fojX1CpHoTYmOayaqiebyQQAsKoXyZjCQKqexT7fXgeyaplrvuPEh4jvkCH8nRQEk+VSG0tKEQpxYdKYRNcV8iqvDoH0xlyPW85ZdW5EEqLgC6tgW8xgCJz6isiT7A2HfBNW2JgoICpfiqLsBhbq4RRpgYRd65q8eQdula7eeyGltbW9ja2gp+lpqaiszMTGRmZuL27dvKD66lVv8lFsB54KMfYWIigpuNJSTWpyF1tIPk9lp8v76rsgeZJvxzSoomgWVmDnR6Frh6kkLoVMt7twymuU+Opp+aIXX60Pe9U13vsljtnlyA8gWDmZi8dkJeIQ5UjOVhdfVGMzMShhZW1D6hNpUY9cF7DvesorDJsmJac1Z2ymbNqvek6j1296Z7iL9D4qeijL4flrb0Oe9d4nOvHN2NqMBoQMgkg8God2xNgTWttLcxhDlz5gzkcjm+//57tXZAx44de4yjevT06dMHJSUlEItrnSCAlJQULFmyBL6+vkxY6cDoPlYfffQRJk+ejN27d+PBgweQy+Vo3rw5Ro8ejWbN6uEt7dOCqqBRDUkD9Bt+9f3Gt6YKhV4B6o1VbZ2qm6ii5rEkRpEIMTUn47i8RP2zuuSMqXrRNI1cTcE1aLoyMZ+/RshY4Sa+uuaYb87Ll/62dwGK8oEbZ0kE8M2VpX4kAnLT9ff60cz9mvaZoHgWAbC3t4d9XipaWhYB3YIAr7HCc1Hdh+itwX0R6sJBlpqCtOJyyErkSKs0hczMDmllgKygBGlFZaiUa7vAJRKJzimXyWR6Hog6cjmHtIISpBWU4GZaPhCVjJ82Wwjue/LkSUyePBlSe2tIKvIgtRBBYpYKqWsWJHZSSCyaQdokGBJrVzgnREIEEc0TXyJcVz6R4E3oCalVXZMVZSSGvAKUYayuTdVfMKj2POOP3/QJCScbRxIs3q2BuLtAZSl5bWtbiVEffAjvqDkk4NMTyNOXGEles/REZTl1cCre4yqqDmlpA1haU+NuiGg9F2RRMZ20h3Rs+B66Z74lhJ0zvWQIMqDoSUO9DGIwGHqxMgXe8Hrco3hySE+nqAdHR0e17cYIjCcZExMTWFpaPu5hqFFUVAQbG5vHPYx6oXadVjXw9vbGvHnz8MMPP2Dt2rV47733mKjShBc0qiFpu74mrwNv+PHlzhsS3vjpPgxwaUKlsjWvzb8Z92xBIU6FOSQkEqN0n5c3UuNvk4EptqJSznzuiqqBa8x9qnrRYq5Tvs+h9cr8mwM/kXDZ8jlwdAMl9YfvUY6Zv+/hsw0TdYp5Gk49vnqMAGzsyWPSbWh1n6Xqe3DzpobLAV1onELzdHYncPMs5a5EXVTm03kFkOdMdTz8XB74iX5qno+fS/9OADh4Zkajb5dOmBASjDktrLAswAy/9vPGwbGdcHn9/5B0ai/KYu8oPE8nT57E1q1b8c033+Cdd97ROQVpaWn650gPdnZ2OsMrUlJSkJqaimtRMTgSm4mN9zKw8lY25p2OxsS/b+KZ7/9C4Auz4OrqCotmgWj6zCh0fm0hhv56HK/8tAt5eXmGD0SfF4VfU5Y2tMYry0hkZKfSeufFSXYq9cLiwxN59v9I+6U/pHUptqIKg7kyCrVz9waGzFD2HqsLqmsifA/dx5BXgc6DAXNL+l6lxpD44/dx8SBRZWlNx+ekUdl5OxcSS2Zm1YVIyqgISfRV+imX077FBfTv1dHfhNehEELrmcFgMHSQnJyMV155BU2aNIGFhQX8/Pwwe/ZslJeXK/aJjY3FuHHj4OzsDGtra3Tv3h0HDx5UO8+ZM2cgEomwY8cOfPHFF2jatCksLS3xzDPP4MGDB4r9fH19sWjRIgCAm5sbRCIRFi9eDADo16+fVq5RUlISRo4cCRsbG7i7u2PevHkoKysTvJeLFy9i8ODBcHBwgLW1Nfr27Ytz586p7bN48WKIRCI8ePAA06ZNg6OjIxwcHDB9+nQUFxdrnXPLli3o2rUrrK2t4eTkhD59+mh51g4fPoyQkBDY2NjAzs4OQ4cOxZ07d/RPvMqcqeaU9evXD23btsXdu3fRv39/WFtbw9PTE//73//UjuvSpQsAYPr06RCJRBCJRGqNgmszF3fv3sXEiRPh5OSE3r1746uvvoJIJMLDhw+1xrxgwQKIxWLk5OQAAMLCwjBu3Dh4e3vDwsICXl5emDdvHkpKSrSO1SQzMxORkZGC814fGO2x4iksLEROTo5gYpi3t3ddT//kwxvqmiFpIjye8JnIS2SIpcZRjoanv/q1u4RSgYGjv1H4W2aycNggj2q/nNIiEiP9XxCsjmfUfWp60VJiaWw2DmTwOrkDV08A9y6Q96FVV/LoqIYiqoZJqf6uCz7fKvYGVXpz9qAeUZnJdA+cnMRc1EWgshIQ/00eDdVGywAZpFeOUQXG8lLAWjj0TmsudeUrqRZeUO1DJIsFNn4MyOKrmz8/pDloGwITrwC4AHBxcUFgYKBBU/7mm2/iueee0+oLlvYwFrL7d5CWm4+MMk6wb65UKtV53toItooqOZILSpFcUAoknQVwFj/88IPgvidOnMArr7yiVphDKpVCIpZAau0OiVdrSEtNIMnPh52dHUR8lb2Hd2kddR5EQoRf7yITZehdZYW6RzLiMHDmTxIfpcVUqr/CmvYzMQXE1rRenaTKUEOIjA+D1bUmVF/YFOVVh1QOpH2kvoCpGYUMVpTTuPjvn5OU7tnNi75TTpLqNZVEoqqkkLy1JiI6j74edwwGg2EEKSkp6Nq1K3JzczFz5ky0atUKycnJ2LVrF4qLiyEWi5GWloaePXuiuLgYc+bMgYuLCzZt2oTnn38eu3btwqhRo9TOuWLFCpiYmOC9995DXl4e/ve//2HSpEm4ePEiAOC7777D77//jj179mDt2rWwtbUV7psJqnz9zDPPICEhAXPmzEGTJk2wefNmnDp1SmvfU6dOITQ0FMHBwVi0aBFMTEywYcMGDBgwAGFhYejatava/uPHj4efnx+WL1+Oq1evYv369XB3d8fKlSsV+yxZsgSLFy9Gz549sXTpUojFYly8eBGnTp3CwIEDAVARjqlTp2LQoEFYuXIliouLsXbtWvTu3RvXrl2Dr69vrZ9LTk4OBg8ejNGjR2P8+PHYtWsXPvjgAwQFBSE0NBStW7fG0qVL8emnn2LmzJkICaEX6D179jRqLsaNGwd/f38sW7YMHMdh2LBheP/997Fjxw7Mnz9fbd8dO3Zg4MCBijSDnTt3ori4GLNnz4aLiwsuXbqE1atXIykpCTt37tR7n2vWrMGSJUsarHiHUcKqtLQUS5Yswa+//irYx4qnqqrK6IE9VfCGumpImqsnJXuLUPseQ8bCG2lercjwrqoEnAUMYT4cLjGSktyPbyIBoRrKxqNq4BXmkmGqWhmsrmFCqvkl2TIyIFt0VI7t6gmqwmZmTsLq6gkK3+ND9vjiBHzolltTwz0JvHKwsqMwQ76SoiyOQvvEVkBVId23k0TbCJXFAebmZKBmy6gwgL4qdDWJUNVcGNXQOFkc4OpFAvDKcRJyR34DkqKoEmMt59zb21v4pUjEEfKKuHqi8spJZFZwkJk5Is3SGbKAvkirNIGVlZXO89YmxFATB3s7WN46IyhQkpOTkZCQgISEhBrPY2VlBYmjPaQooZ/iQnw51B92ZSVK4cyvU2kzEuiqCjLiKIW6WtsDJUX0096VwmDT4qnano0Drb/8LGVonaboNhSpH7U6uHpcPbTQK4A8pQ+u0fe4pJDaGXg0o2bLJruA/FzKAbOwIk81v/aiLgGlN+nfoN6j6Xvt6knjjrlOFRgryqgxtK4edwwGg2EkCxYsgEwmw8WLF9G5c2fF9qVLlype0q9YsQJpaWkICwtD7969AQCvvvoq2rVrh3feeQcjRoyAiYky6Kq0tBTXr19XhPU5OTnh7bffxu3bt9G2bVuMHDkS169fx549ezB27Fi4urrqHN/PP/+M+/fvY8eOHYoCba+++irat2+vth/HcZg1axb69++Pw4cPKwpNvfbaawgMDMTHH3+s5WXq2LEjfv31V8XvWVlZ+PXXXxXC6sGDB1i6dClGjRqFXbt2qd0jPzeFhYWYM2cOZsyYgZ9//lnx+dSpUxEQEIBly5apbTeUlJQU/P7775g8eTIA4JVXXoGPjw9+/fVXhIaGQiKRIDQ0FJ9++il69OiBl156qU5z0b59e2zbtk1tW/fu3fHnn3+qCauIiAjExsYqPIwAsHLlSjV7Y+bMmWjRogUWLlyIhISEx+rYMUpYvf7669i0aRNGjhyJkJAQ3YnqDCWqAiM9Qfk23M5Zabg1tLjiDffb5+httqUNkHBX3bvDj4MvoZyZAmQmAg5uVMZcaF9Vj5xqrkp95Yx1CVUauVeOkbHq0ZwMxswUeiOfn02/y+VAi07KkD2vAAq7jLxEoYpZAvcgBN/vqNNz1R5GjSavfP+xygoyfGWx2n2W+GprADXBHTWn5iIg+kSoar8w1T5E/HO9VR1maFntQUlLqF9vA3+d6Csws7GFtMcISPkGuwZc44033sCAAQPIAxZ5C2kXjkOWnYO0ghLICoqRVipHTkm54LFSSxMSdQJ5erXxhJWUlCC+pATxAJCaDwD4vn1foOtzWvN+Iuw8Zs15FxIrM0id7CFpGQhpWhQkeaWQiuWQ2FlD6tkJEksRrCytAQcXWiOOUgotdJKSV8w/uG6eH07jJ1C9Fv4iT5OzB3lz/doCPm3pc3s3UGVLM/LGuXkpr917FL0YqKyg0Fm3prROIy/RCwpbRxJW7foCw2YzbxWDwag35HI59u7di+HDh6uJKh7eID906BC6du2qEFUAFV2aOXMmFixYgLt376Jt27aKz6ZPn66WK8V7U2JjY9X2M4RDhw7Bw8MDY8cq85ytra0xc+ZMvP/++4pt169fR3R0ND7++GMtJ8MzzzyDzZs3Qy6Xq4mjWbNmqe0XEhKCPXv2ID8/H/b29ti7dy/kcjk+/fRTteNU5+b48ePIzc3Fiy++iMzMTMXnpqam6NatG06fPl2r++WxtbVVE0tisRhdu3ZFbGxsjcfWx1wAwIQJEzB37lzExMSgeXOyn/78809YWFhgxIgRiv1URVVRURFKSkrQs2dPcByHa9eu6RVWixcvVhNp9Y1Rwuqvv/7CjBkzsG7duvoez9MNb6D89R29GbZ1orfCmUn0Frk+mwHruv7Yd4EDa4H8DApZqhCOGVaUUPZsQaFllRUUXqTrvHyp8osH6FhVj1F9jd0rgM7JNz09sgGQV5KIMq3+ssrlNLc+bTXetHNUDlswgA3ahTD0eY+8Ashz989Ous+ifJqfgC7CopMfL0TqFdz03acQ+kIFA7qSsAzfTSLTxJQaMdent4H3kkQcptDGU1uBgM4GP2M/Pz/4+fkpNyRGKeemWjCW2bogvc9kyExslCGIV8JgE3tVZ4hkXTxhThZmsLh/kby0GmXVEyNvISYrHzEAkJQN3IrXODofOLMHAGBvbQWJxB3Sy8dIcOUnYnmwK2zFViSumvob9yw0BT5/7/x2Zw9lBc+sFAoHNROTJ7owG8JFNDTKo4tMaJ3eDgPCdleXkG/KRBWDwah3MjIykJ+fX6PYefjwIbp166a1vXXr1orPVc+haUjzL/z5nJza8PDhQ7Ro0UKr1UlAgPq/h9HR0QDIU6SLvLw8NeeDvnHa29sjJiYGJiYmaNOmjc5z8tcdMGCA4Of29vY6j9VH06ZNte7ZyckJN2/erPFYY+ZCzR6oZty4cXjnnXfw559/YuHCheA4Djt37kRoaKjafSUkJODTTz/F33//rfWMa5WP3QAYJaxEIhE6dapF6WOGElWDKC2exAqf2/Eochm8AshgykpRhsYJhafxwiI1ht682zrQzywZFY/QrBbGlyrPTGrY++GFR8QRmsduw4Dr1XHPTlLKtSrMBZKjyIvkFUBjDehGY3MVuF9dlQv1eY+8AoCWnYEbp2kcGQnAid+BoD7a8wLUrTIij5DY0xz7S4uoYpyDKzXare/5z0mj0DO+t5RmH6XaoCoipc2AtHhYSHzh5RUAL4DuTWIGtH8BCLfQGSI5e/Zs9O3bVzsnTOVnYWGh4BCk5lXA7q8FX2zIdL1zECC/uAT5cQ8RHadMuv3m/bXAhX3VDYSV+x4/fhxz5sxRzwcT+Onu7g5zzWqekRFUBdDNs9obGkNhqIE9qUKgatNrjKELar3g4OiFCh86yK9v1RcXrLofg9HoySwHWp9X33avJ+D63ypyB4C8NUI0ZGNYuZx6AX755Zc6S49rtjWpj3Hy1928ebNgXrOZmXHlE+oyNmPmQih1oEmTJggJCcGOHTuwcOFC/Pvvv0hISFDLQauqqsJzzz2H7OxsfPDBB2jVqhVsbGyQnJyMadOmKcbyuDBq9keMGIETJ07gtddeq+/xPP0owsNiACsbCsdTze14FHgFUJ6RPgNK09uSmUxvs4/8AkBERSI0c5VUc7PMxMoGpA1CtXGYGEUheCIAsbfoI2cpiSve6Oc9TLru91YYVTXUFIQ1hTBK/UhUpcVTM+H4u+TFmvSx+n41FaUwFCGxF3FE/dzu3lQ1rqGoS28pfWjOtWaZ/d6j6d4Enp+/vz/8/f31nr6oqAhpx3cg7e8NFHZ47wZkZRwcTOWUK5Uaq/Vc0sqMX78uLi4wNzUjUaWxrhISEhAZGYnIyEiDziN1cYbEyhTSijxIKg/h8zZWsG4dDIx6W5n3B5Dgqqmhd2IUeXpT4wCuCvANVP9M1Wtb1/5zDAajQeEAZFZob2vMuLm5wd7eXr1HogA+Pj6IitKuSMr/u+nj49Mg4+PPffv2bXAcp+bB0RwPH6pmb2+PZ599tl6u3bx5c8jlcty9e1enQOGv6+7uXm/XNRRNjxZPfc7FhAkT8PrrryMqKgp//vknrK2tMXz4cMXnt27dwv3797Fp0yZMmTJFsf348eN1um59YZSw+uSTTzB+/HjMnDkTr732Gry9vQWVrrOzc50H+NShaRwDj+cNcU2iQdOoijhCYkVsBXCccPNT1dysygr1Ihb1CZ9rVFlORvfg6XSd/T9SxcC0h5Qrwr+10Gcg8pX7spLJi8fnDBkC76WLv0P3W15C5+qj4SkytjKirgbS9XFuY+G9U6oFNIwxwGs6RrNZNQDM/s7otWRjY4NmwT3RLO4CnVfkQkVPRCZAaSGtF425mzVrFkJCQoS9YClJkMlkKKsUFl9SF2ed66o2OWFZWVnIysoCX0BXBOB/zSpp/jOTgdAZin1PiH3xzoa/IW3SBJKrnwt7w26fgMutMJiWFgJlJcDJLTS/g6Yr8/fMxIBfOyD+pnavOwaDwagDJiYmGDlyJLZs2YLLly9r5VnxYmbIkCH47rvvcOHCBfTo0QMAvSD7+eef4evrqzdUrq4MGTIEx44dw65duxTFK4qLi7UKQgQHB6N58+b46quvMHHiRC2PTEZGBtzc3Gp17ZEjR+KDDz7A0qVLBYtXiEQiDBo0CPb29li2bBn69+8Pc3PzOl/XUPheU7m5uWrb63MuxowZg7feegvbt2/Hzp07MWzYMLUeV7zeUPWkcRyH77//3qDzZ2ZmIjMzE97e3jrbw9QFo4QV/3b42rVratVNNGFVAXWgaRw/aoOlJqNWM7ys9ygqwW7rSAUbINLT/FQlf0O1IXJ93WNiFHmFUmOpxPudcDIypc3Ic2XjCHC59Db+6nHKAeINRiEDkQ/N7DaMKqwFD6zdWPuMp0p88bcBJy8ySoUEZ20rIxraWNmYc9eVLqHqTZqFGiDrQ2h9aZYkl/op+0c5SZV/r8v9qc5V5CXg0M9UTc/ShjxiGudu1aoVWrVqpfN0XEIk8mPvQpaZhbQzf5PgkptD5tkOTiaVQGWm4LqqS58wV3PADBpiLjEKuBWG+ON/4VZiGm4lpgEXr+k8hwkAdwtAIgYk1oWQ3j4ByYm7WNLRDVbN2lCeZPwtEl7dhj66MGUGg/GfYNmyZTh27Bj69u2LmTNnonXr1khNTcXOnTsRHh4OR0dHfPjhh9i+fTtCQ0MxZ84cODs7Y9OmTYiLi8Pu3bu1CjvUJ6+++irWrFmDKVOm4MqVK/Dw8MDmzZu1jHATExOsX78eoaGhCAwMxPTp0+Hp6Ynk5GScPn0a9vb22L9/f62u3aJFC3z00Uf47LPPEBISgtGjR8PCwgIRERFo0qQJli9fDnt7e6xduxaTJ09Gp06d8MILL8DNzQ0JCQk4ePAgevXqhTVr1tTnlCho3rw5HB0d8dNPP8HOzg42Njbo1q0b/Pz86m0u3N3d0b9/f3zzzTcoKCjAhAkT1D5v1aoVmjdvjvfeew/Jycmwt7fH7t27Dc6na5Tl1j/99FOd7kBGDTzu8BpDDHbV0LU74eSBMregsuOhr1Kona5QI96DcuUoGWRlxeRBqo833qrhYZnJ5BEozKFqhDE3gJxUGndlOQATyjW6fLSGMDzVkMK2+suha46Ff44vLqA+UgW5VHZbSHDWtjJibcIH61p1sS7cCqN+XmIr4aqRQuhaX5rr0cKG5rMojyre1Yc3jj83Xw1P2ozyxtz1lGbV8Z0VebeCg3crOAAI6NZHXdzyJf4fXNPKY3z11VfRo0cPQU+YTCZDenq6zpdSEmtzKlLC50Px34m4W5DFPRA8RhM5KH9MVgagoBxIK4dJdA6W+7YE7uQCEFH44p1zwINrOFbmiA+nvwOpl4+WF0z1746Ojuz/BQaDUSOenp64ePEiPvnkE2zduhX5+fnw9PREaGioQrxIJBKcP38eH3zwAVavXo3S0lK0a9cO+/fvx9ChQxt0fNbW1jh58iTeeustrF69GtbW1pg0aRJCQ0MxePBgtX379euHCxcu4LPPPsOaNWtQWFgIqVSKbt26GZ0us3TpUvj5+WH16tX46KOPYG1tjXbt2inKoAPAxIkT0aRJE6xYsQJffvklysrK4OnpiZCQEEyfPr1O968Pc3NzbNq0CQsWLMCsWbNQWVmJDRs2wM/Pr17nYsKECThx4gTs7OwwZMgQrTHs378fc+bMwfLly2FpaYlRo0bhzTff1CqJ/zgQcQ2Z2feEkp+fDwcHB+Tl5RldXUUQQ70QDUnEEWDnV5TwnpMGjJ+vVQ1NbZz52dQXKbAniZnhs7X317rGYfJipD0kL4ads/B1jBn7gZ+UBrlrUxpTYK/q6ny51C+qKBfkORMDQ1+jN+9Cc66ZxzNqjmGFGDSfY0AX4I/lFCpp6wi89YP2eWorqI1ZK9WeCwDaxUUaikPrgW2fkzCqKKP8MpXwNJ3j5O+tooy8UXzjbH59qfTMwoNrwOCXaz6vIWiK85p6TBn7neU9eXzBFE1Pnp71IJfLkZWVpS66Im8i7dwRuFQV4YNe/sr+UxlJ5GFy9cSba37HD/eFi3TUhMTeBrLXugF+QRS6WFEdZtt5INZdT8ashYtrPIdYLIZEIoFEIsHJkyeN/rezwf79fcJh8/KUMLD+Xj5klAPuZ9W3pfcF3BqyeMUxZjIy/psY+m+wcaVDNMjLy4Otra3OiiKMamRxFMLmJBFMln80cGTsPbxDxQeECkzwIVN8+eWMh8DFg7rzj7SMRBGd282L8jecJPXjbVDNJ/JoTiFk4XvodzcvEjU5aQBMSFRZ25OhqKvSGe85CeytLDttCJrepNvhJN582wpXyjNGwPH5atFX6Z5lccrt/Dk1Cw1s/IS8RxBR1b7eYxpGYKleOyiE1oW+CpNC96ZaGIV/hqo5YvyzzkyunSexJlSf+Z1woEN//aGqxhYe0VUmHahRrJmYmMDNzQ1ubm4q5YQnARH9lOshKoK+k2ZiWuuZyZjxTA907S5C2sNYyCxdKQ/M0hVpJZWQPYxFZkGxzuFKrUzpOzVsNm1Q+b6kRSyt+X4BlJeXIzExESkpKVrx9U8KERER2LRpE06fPo34+Hi4uLige/fu+Pzzz9GyZUu1fe/du4d58+YhPDwcYrEYQ4cOxTfffKOVRyCXy/HVV19h7dq1SE1NRcuWLbFgwQK8+OKLj/LWGAwGg/EIMFpYXb58GR9//DH++ecflJeX49ixYxgwYAAyMzPxyiuvYN68eQ0Su/hkU4OoeSRhgiLyAvgHAzky3WKC75VjbqE//0hXPpa9C33uJKm5Ma6hCOUTVZfpVhjk/+wEzu+lpqie/sqQRaFxZySRUcob9ZycPCU1zb9mwYiALkDkRd2V8jQLMexZVXNRD75AR2oMVXCzcaBeSFM/o881DXNZHJB8nwp2yOVkgBfl1X9/NCFRUFOFSSEESq2rHd9QuWOa4rym/D9ji4PoO84YsabaHFrTi9x9GACgAwd0cPNUySkMUj77iMOo+PpVZKRnIA2WkNl5IK3DUMis3JD2IBLuFiL1daJadr6WfcLc3d0bNP+hIVm5ciXOnTuHcePGoV27dpDJZFizZg06deqEf//9VyF0k5KS0KdPHzg4OGDZsmUoLCzEV199hVu3buHSpUtqjUo/+ugjrFixAq+++iq6dOmCffv2YeLEiRCJRHjhhRce160yGAwGowEwSlidP38eAwYMgKenJ1566SWsX79e8Zmrqyvy8vKwbt06Jqy00BA196/Qn5bBZFw+ijBBvtx7bjr91CcmNL0Grp4U+gUoPSG68mXMxED/F4GsVOD0HyRijCkDrik2hQp/qP4+6WOqyqfPIFcVB2ZiMkxdPfUXuVBFyOh3a6peKU9zHs3EJKqcPQwrxMDPq4U1rZXKcsonux1GoWWahjk4alScn0VVG63tGqafmJAo6DzI4DA3QXTliDVE7lhtBZuxAk/fccaINX7eXT1JLFdVAef2Ak2a0/O+elzpNRw0XVmGnb9ul1CYT1mEJgd/RhMzMyr0MnamQffz8ssvIzg4WLA/WFpamlZ1KKG+Kk8K77zzDrZt26YmjCZMmICgoCCsWLECW7ZsAUDJ90VFRbhy5Yqi4WfXrl3x3HPPYePGjZg5cyYAIDk5GV9//TXeeOMNRTL5jBkz0LdvX8yfPx/jxo1jkR4MBoPxFGGUsFq4cCFat26Nf//9FwUFBWrCCgD69++PTZs21csAnypURY2pmEqDl5WQN+KZSfXT66gmhMKw9ImJgK5U45njgO3LgJRYKk3N97HijcQ74eQhMTMHOg2ke4i7BRzbBJSXAuf30flqI66MzW+pySDXFAduXnR/tZl/zWuoVsoT2nfUHGUZer4pqz74eY28RD2yzMyVHk4hw1wWR+f1DQSSHwCObg3TH60mUaDvmdVU9t6Yz4yhtoJNl8dTc0xC24RSWI0Ra/y8R18lkd7UF4i5DuRlAMc3A7IYwNKW8hpdmihD+lRfmgx5lRpYa163hvnt3LmzVklkVUpLS5Genq4QW8Y2p2wM9OzZU2ubv78/AgMDce/ePcW23bt3Y9iwYQpRBQDPPvssWrZsiR07diiE1b59+1BRUYHXX39dsZ9IJMLs2bMxceJEXLhwAb17927AO2IwGAzGo8So/wEjIiKwfPlyWFhYoLBQO1na09Oz1uEj/wlUDapLh4HY6xSulhxNngZzMb151lnKvB7H4RWg3VxWVx6ImZi8JvF3AHkVYGlHoul2GBUU4HtXmZoD2WnAhb/pvuJvA2VFgL0rhcHdOVc7YVVfjXU10SUOGrIfVJdQ4ZA3XWjmuRXlkaeKD20UMsw9mtF8BYXQM1FtHmtIiKMh6Lo2b5xnJAk/M831FDxQ6fWsSYw97oIvmgjlzGl6nPn8P13jNkbcqa6H6Cv0wqKkqLoASCWJ9uI84OZZIDOFXoho9qHSvK6+52IglpaW8Pb2VhMZTxMcxyEtLQ2BgdRMOTk5Genp6YJis2vXrjh06JDi92vXrsHGxgatW7fW2o//nAkrBoPBeHowSliZm5tDLhcoelBNcnLyE5u83ODwhg0nBy4fUebl+ASSMQQ8utbpfIjalWPktdGVB3LlGBlxTlJAFkuGnIij7W1DoOhd5d8JOLcHqLCkHJCiXKUnyNKaKr/VdnwNIXZ0iQO+WIR/p4bzFhrjKREqviEUEqlL8NS3MNG8dsRhpTfOzlk9b41/ZqqhbBcPUK4hn/+lT0A3lLiuC0I5c73HqI8z+mr9j5s/Pu42kBRF4aG56YCVLbVAKCuhEvWuTSnfzsJauHiGKrfC6AWI1JdefKg+l8c9z42ErVu3Ijk5GUuXUhGP1NRUAICHh4fWvh4eHsjOzkZZWRksLCyQmpoKiUSiVYaePzYlJUXndcvKylBWVqb4PT8/v873wmAwGIyGxShh1b17d+zatQtz587V+qyoqAgbNmxA37596zq2pxs+bIw35CHSXUWsvhAK+eEFkK2j+r6qosbNi95+52dRWJq8CugwQJm/owgHPAdUVQItOlDBBTMLoMtgIOYmiZYhr9YurKuhChjw59Z8c897GNIe1lxc4lGiKjJUfxfaT/OzhhYmiVEkLGKuU/4YAPR/QSnUFQUqVELZ+D5JmutHSEA3lLiuC0I5cyKoj9O/E62j+hw3X/kx6T5QWgxARLl0ZcX0x84JqCwD7l+mvmLOUv2FWSIOAyc20ThTYgAzs4bJy3uCiYyMxBtvvIEePXpg6tSpAICSkhIAgIWFhdb+lpaWin0sLCwUP/Xtp4vly5djyZIldb4HBoPBYDw6jCrdtGTJEly+fBlDhw7F4cOHAQA3btzA+vXrERwcjIyMDHzyySf1OtCnki6hwMSPqsPEGtiA5D0XO78E1s4lo+pWGJBwl7xKCXcpzIiHFzXDZ1MPnqmfAePfB2Z+SR4U1fwdrwASTtZ2FA545zwJNbemgIkZiavhryvHcOAn+pkYVfO4vQK0iyM0BKoCJDUGCNtl2PgeBcbMG09Dryu+rLizBwkNM3NaH5rPjF9Poa9Qfp7m+uHXmlDIXO9RVHmx96jGYex7BVAfKdemgNiCQjDbhqjfg7QZ5Sd2H1Z/3h++GXNxPlBeAohEQGE2/T0/m8SWgxu99PBoRhUPh89WhiWqrp+Iw8DP84HYm4DYkjyNHs0bJi/vCUUmk2Ho0KFwcHDArl27FEUmrKysAEDNm8RTWlqqto+VlZVB+wmxYMEC5OXlKf4kJibW7YYYjEZOamoqPvzwQ/Tv3x92dnYQiUQ4c+ZMrc/z559/okePHrCxsYGjoyN69uyJU6dOqe2zdu1ajBs3Dt7e3hCJRJg2bZrB57979y4WL16M+Pj4Wo/NWHJzczFz5ky4ubnBxsYG/fv3x9WrVw0+fs2aNWjdujUsLCzg6emJd955B0VFRYL7xsTEYOLEiXB3d4eVlRX8/f3x0Ucf1XiNu3fvIiQkBHZ2dujcuTMuXLigtc8333yDwMBAVFZW6jzP6tWr4eDggIqKCoPvrzFhlMeqW7duOHToEGbPno0pU6YAAN59910AQPPmzXHo0CG0a9eu/kb5X6AhvTOAcPhSYE8AouoEe5H2MaqeEqmfssGvYK6QCLBzAXq1o9LsIWMo7Es1tE5fTtfjRrUIR2YycP00vclvDCFRdfE6NfS64guyIKbm0vqqoY23w9RDXnWFSTZGT2JiFPWRsrEnz5Wq4BPKGauvHlwA5VKV5pKY4kvrQ0S5jCZm9AxkccqeYkLfu9thwLHfgZQHdHxWMonAFxdoVxP8j5KXl4fQ0FDk5uYiLCwMTZo0UXzGh/HxIYGqpKamwtnZWeGl8vDwwOnTp8FxnFo4IH+s6nk1sbCwEPR2MRhPK1FRUVi5ciX8/f0RFBQkaJjXxOLFi7F06VKMHTsW06ZNQ0VFBW7fvo3k5GS1/VauXImCggJ07dpV8Lusj7t372LJkiXo168ffH19az3G2iKXyzF06FDcuHED8+fPh6urK3788Uf069cPV65cgb+/v97jP/jgA/zvf//D2LFj8fbbb+Pu3btYvXo17ty5g6NHj6rte/36dfTr1w+enp5499134eLigoSEhBpf7FRVVWH06NFwdnbGl19+ib///hsjRozAgwcPFM1009PTsXTpUuzYsUNvkaODBw9i4MCBMDc3N3CGGhdGl28aMGAAoqKicP36dURHR0Mul6N58+YIDg7WiidnGEhtc3Bqg1D4krOH/uauuvJzhMapWprdtSmQJaMcrIpypUHcGMO6AGV4YkAXyh8rK6Z8sDvh5LmqqddRQ1PXeWvIdQUAbt6Uz+MbCEBE3hCI9Id7Rl6idaWZz6MZKtpYc6z0NZZuqDEHhVB59fjbgLUDUJBLHuKqCpr/vuOBu+eBwlzK2+TRXD8cyOtlbkneRhNT2qcxiNZGQGlpKYYPH4779+/jxIkTaNOmjdrnnp6ecHNzw+XLl7WOvXTpEjp06KD4vUOHDli/fj3u3bundp6LFy8qPmcwjMXaFFjUTHvbk0pwcDCysrLg7OyMXbt2Ydy4cbU6/t9//8XSpUvx9ddfY968eXr3PXv2rMJb1dhrAuzatQvnz5/Hzp07MXbsWADA+PHj0bJlSyxatAjbtm3TeWxqaiq++eYbTJ48Gb///rtie8uWLfHWW29h//79GD58OAAScJMnT0arVq1w+vRpvR51TaKjoxEVFYWHDx/C29sbU6ZMgaurKy5cuIBBg+il/MKFC9GnTx8MHDhQ53mKi4tx9uxZrF271uBr66KoqAg2NjZ1Pk9tqXMXxw4dOmDcuHGYMGECOnfuzERVY8UrgLwJzTtUh/1Uhy9N/QyYvIh+6svPyU2v7pek5/xj3wVadqYKguG7yXi2tFZWENQX8vW4UA2R3PU15a8U5JAo5D1XtQ2/q28a47wBypyfI79QY+Y/lgOblwBr5wE7v9I9b7rWlWbIY8Rh7SbOjUGM1yR0G7LoyosLgFbdABdPwMqGwvis7Oh7l58JJNyjHMiEe8rQXs31ExQCNG1J302xFZ0n9iaw6ZPGE/76mKiqqsKECRNw4cIF7Ny5Ez169BDcb8yYMThw4IDaW9yTJ0/i/v37asbgiBEjYG5ujh9//FGxjeM4/PTTT/D09BQs785gGIqNKbC4ufofmydYWNnZ2cHZ2dno47/77jtIpVK8/fbb4DhOsGo1j4+Pj1H26saNGxXf8f79+0MkEmmFLP74448IDAyEhYUFmjRpgjfeeEOr319t2LVrFyQSCUaPHq3Y5ubmhvHjx2Pfvn2C4cY8Fy5cQGVlpVYzcv73P/74Q7Ht2LFjuH37NhYtWgQrKysUFxejqqrKoDHy+aJOTk4AAGtra8U5AODq1avYunUrvvnmG73nOXnyJMrKyhAaGorY2FiIRCJ8++23WvudP38eIpEI27dvB0CeSpFIhLt372LixIlwcnJ6bBVXn9yGI4zao6vkty5DXZeBqK8AxZ1zVOnQwpqKXfx7gHKv+AqCDe09qS28ke8kBR7epTLxZSWAswSwtCHPVWPwlAgV26jP3k7GIIsDMhLJOK8qJE+JgxvNp7OHuqBWRde60tVsuryMztHlEeTaGUJN4ZUNGX6p+h1OTwAuHqTy6vcvAzE3qLiM2BJapUVV109iFJVVb9aOvqvXTpCXNvKS8PP6D/Huu+/i77//xvDhw5Gdna1oCMzz0ksvAaA3rzt37kT//v3x9ttvo7CwEF9++SWCgoIwffp0xf5NmzbF3Llz8eWXX6KiogJdunTB3r17ERYWhq1bt7LmwAxGPXLy5En07NkTq1atwueff46srCxIpVJ89NFHePPNN+vlGn369MGcOXOwatUqRU9XAIqfixcvxpIlS/Dss89i9uzZiIqKwtq1axEREYFz584ZFd527do1dOrUCSYm6r6Qrl274ueff8b9+/cRFBQkeCwvujS9T9bW1gCAK1euKLadOHECAIUhd+7cGVeuXIFYLMaoUaPw448/6hW9LVu2hIODAxYvXow5c+Zgx44dyM/PR6dOnQAAc+bMwZtvvokWLVrovddDhw4hODgYEokEANCrVy9s3bpVywO5detW2NnZYcSIEWrbx40bB39/fyxbtgycUB/JRwATVv81aiNshAxEfeW7+UIGtk5Ulr2qAoCIwpLysx+/OBGCN/JTY0ggRF+lAgzlZYC9c+PylPDoegaPWmxJ/aj6X3YK5elZWgOyeCrNH3WR1oGqoObRJTxUBZeZWNlM+eIB6s9UVtx4wtVq+h7V9HldnhV/7sQoYM/3FNZnag6gBHD3IY+0q0BoL39d1bXTxB+4eYYKYTyyPg+Nl+vXrwMA9u/fj/3792t9zgsrLy8vnD17Fu+88w4+/PBDiMViDB06FF9//bVWXtSKFSvg5OSEdevWYePGjfD398eWLVswceLEBr8fBuO/Qk5ODjIzM3Hu3DmcOnUKixYtgre3NzZs2IC33noL5ubmeO211+p8nWbNmiEkJASrVq3Cc889h379+ik+y8jIwPLlyzFw4EAcPnxYIYRatWqFN998E1u2bFF78WIoqamp6NOnj9Z21bYNuoRVQAD9/3Lu3Dn0799fsT0sjCIaVHPPoqOjAVCY4eDBg7FgwQLcuHEDy5cvR2JiIsLDw3V6+WxsbLB27Vq88sor+Oabb2BqaoqVK1fCx8cH27Ztw4MHD9R6/Oni0KFDanM0ZcoUvPbaa4iMjESrVq0AABUVFdixYwdGjx6tEIg87du31xsa+ShgwoqhH00DURYHpMZSknxqrLpY4gsZZCYDEFEyvbyKjDipX+MSJzyqRv6lQ8CV41QuvrSY3uprlg1vDAjl8ACPvpGuVwBVjORDzrJTqfG1uZhCy1p0qs6xixf26ujz9HByKlohVJ79UTyLhhSp9dVbTBZH7Q1MTKjMupkF0G0I0GWI9ppNjFL2rEqNVXpiW3UFvNtQHqR3G6UYawwe0cdAbSqQBQYGaiV+C2FiYoIFCxZgwYIFdRgZg8HQBx/2l5WVhT/++AMTJkwAAIwdOxZBQUH4/PPP60VY6ePEiRMoLy/H3Llz1bxLr776KhYuXIiDBw8aJazq0rahU6dO6NatG1auXAlPT0/0798f9+7dw+zZs2Fubq52LD+HXbp0UXjrx4wZA2trayxYsAAnT57Es88+q/NaL774IgYPHoyoqCj4+flBIpGguLgYH3zwAb744gvY2tpiyZIl2LRpk+Lvo0aNUhx/+/ZtJCQkYOjQoYpt48ePx9tvv42tW7fis88+AwAcPXoUmZmZihddqsyaNUvn+B4VTFgxakdGIjUnjb0B2LuQAczDl8ZOvAdky4DSQvI8WFiRSGmsBho/rqxUqq525zwZnJqelsaCUCjd4yryoCqQIg6TMM1Oo3L7ZSXkcaqNoFY9n7QZiTY+3+1ReQ4boqmyKvX1rKR+gMSvWogCsHMEOg9WVu/kxRE44MgG8iJWVlKJeICejasn5WjZOtI5boWRt5mvxPioRDqDwfhPUF5ejuzsbLVtbm5udQ6L5UPdzM3NFQUeAHqxMWHCBCxatAgJCQnw9vau03X08fDhQwBKLxGPWCxGs2bNFJ8LoW9e6tK2AQB2796NCRMm4OWXXwYAmJqa4p133sHZs2cRFaXMq+XP8+KLL6odP3HiRCxYsADnz5/XK6wAyrHq3r274vfly5fD3d0d06dPx2+//YaffvoJW7duRXx8PCZMmIC7d+8qwgMPHjwIiUSCzp07K453dHTE8OHDsW3bNoWw2rp1Kzw9PTFgwACt6/v5+ekd36OACSuG4SRGAeF/UaiXjQOFemlWROPLrgf1psIPFtZAy2CgT+2q+zxyZHFAQTbg144KJjR2ISgUSvc4Ky4mRpHxnvIAqKoCvFpSo+C6iFPV8uwNVS5eCH3Cpz48OfVV3MIrgNoa5MioqmdZsfL7qCoOK8roRYfYCjDn6DvZoT9Vu+TDd1t0pJDLo3n03a6saDz5hQwG46nh/PnzaiFpABAXF1fnsuXOzs6wtLSEo6Ojlkhzd3cHQOGCDSms6oK+efHw8NDZ3gHQ37YBoEqm4eHhiI6Ohkwmg7+/P6RSKZo0aYKWLVsq9uPPw+c38ajOX22Ij4/H119/jWPHjsHExATbt2/Ha6+9phBEmzZtwh9//IGPP/4YAIUBDh48WCvccMqUKdi5cyfOnz+PoKAg/P3333j99de1cs6AmkXmo4AJK4bh8EaYmxeFfXn6C1dEMxMDdy5R3g1X3Wen0cMBmUlAUbVh6er5uAekH81QOl1i61GFdPGFLKzt6blXVdE6qY9rPuqCJ/qKttSHJ6s+i1sEhVDJ+tx0CsOV+NI4/9mpDPm7Ew5Y21IzYYj+396dx8dw/38Af03uROQOCYIQos4IEVecJeoq6iwlKEqdrVI0laCuKIqiqhJfTamm1NVqHFFX66ijdcUVkUSIEEmQO+/fH/vbaTa7STab3exO8n4+Hh6xs7Oz75md3fm853MB9VsoTiFgV02xyWXcLdl32BD7FzLGRM9zAL8ListO+QAOBjz9T4sWLXDkyBGFZS4uLmXerpGREby8vHDhwgVkZ2fDzMxMfO7Ro0cAZDVA2lBUP6M6deoAkM3HVa/ef+PgZ2dnIyYmptjanuKOi5eXF06dOoX8/HyFZOLcuXOwsrJSSI6K06BBA3HOqxs3biAxMVFhYuRWrVrh22+/VZrzS9PjN3v2bPTv318cne/Ro0cKSWCNGjXE93rx4gXOnj2rcpCRXr16wdnZGeHh4fD19cXr16/x3nvvlSqW8qRWYmVkZKTRsJTqDtPIJEKdyWDdPGW1PQ/+lY3oZmImS1YM/q63IEumGrSS1QAo1cQZGFUJk6qRA8ur31XBgSwgyGpQpFogLyrx0WZzS20li4VjBWTDpsffkQ34Aci+sx0H/n/fR/zXj+rXrbK/HQfKmr7Km1zK1+fJghkzaHkE3HilvMyQ2dvbl9icTB0PHz7E69evxQENAGDYsGH466+/sH37dkyYMAGArLlceHg4GjduXGLNjrrkcyMVHkL9zTffhJmZGdatW6dQ8/Ldd98hNTVVoe9QYcUdl8GDByMiIgJ79uwRmzkmJyfjp59+Qr9+/RT6X927dw8AUL9+/SLfKz8/H3PmzIGVlZVCn6S3334bM2bMQGhoKAICAsQkbutW2bWiR48eRW6zsKioKPz666+4deuWuKx69eoKj2/evCn2sYqMjAQAlXNcmZiYYMSIEfjhhx9w8+ZNNGvWDM2bN1c7lvKmVmL1+eefKyVWe/fuxfXr1+Hv7y+2J7116xYiIyPRtGlTDBgwQOvBVmiG3Fm8YGwdB8rubjfwlg39rGpdALB1AuJuAybZsjvklA9cOKyd/SvtsVJnfXnSmHhPlgwW7DtmaNRNmMqz31XBgSyeP5YNXy9lqhIfpYl2tXhOl0XBWH/dKhs2XT5MvXtToO9k5YQ7LFDW5wqCLKkas7j8m1wyxlghS5YsAQBcv34dALBjxw6cPn0aAMQmY4Csedgff/yhMKT2pEmTsHXrVnz44Ye4ffs2ateujR07diA2NlZplM8DBw7g6tWrAGSjzP3zzz/ie/fv37/YgruXl5c46l1qairMzc3RrVs3VKtWDfPmzUNwcDB69eqF/v37Izo6Ghs3boSPj4/KwRbUMXjwYLRt2xZjx47FjRs34OTkhI0bNyIvLw/BwcEK63bv3h2ArBme3IwZM5CZmQkvLy/k5OTghx9+wPnz57F9+3aFppHyoek///xz9OrVCwMGDMDVq1fx7bffYsSIEfDx8VEr3ry8PMycOROffPKJwvYHDx6MOXPmwNnZGbGxsfj3338RHh4OQNa/qmPHjrC1tVW5zdGjR2PdunWIiorCihUr1IpDX9RKrIKCghQeb9myBUlJSbh27ZpSJ72bN2+iW7duWrszUCmUZ81CaRWMzcRM1qovJ1s2iljhoa/l6ybeA54myIZ9tnMGvHtorzN8aY+Vuuu7eQKePsDdy4CJiSxeAICg/4JzYeokTHHR5T+5rjyGiC9l8ypFnzesc7msVI1aWNJ5pZcbJiQbPt3EBKjbVPl9C84/RiQ7T+QJlZ7m/WCMMQAIDAxUeLxt2zbx/wUTK1UsLS1x/PhxzJkzB9u2bcOrV6/g5eWFQ4cOwd/fX2Hdn3/+Gdu3bxcfX758GZcvXwYgm3+uuMTKxcUFmzdvxrJlyzB+/Hjk5eUhKioK1apVQ1BQEJydnbFhwwbMmjULDg4OmDhxIpYuXarRHFaAbLCJX3/9FZ988gnWrVuHjIwM+Pj4ICwsTKkMrkrLli2xdu1ahIeHw8jICG3atMGxY8eU+nQBsmNsb2+P9evXY+bMmQrJlrq++eYbPH/+HHPnzlVY/sEHHyAmJgarV69GlSpVEBoaiiZNmoCIcPjwYcyePbvIbbZq1QpNmjTBzZs3MXLkSLVj0QeBNJhBq0GDBhg7dizmz5+v8vkvvvgCYWFh4pj4UpOWlgZbW1ukpqbCxsZG92944TBwcPN/BeV+k/8b2Uvf5LE51QQuHwfMLYC2/VXHKV/Xogpw5Tjg1Q3IfCVLWKIvaGf/LhwGflola4qY8gQY+knx2yru2BYs9ALAppnAvSuyyW1NzWUjpZmaG3ayqyq2wslw657lM8KhvG/P1RP/DXxgSOeyNqnzndXHDRN5bVRyvGwuq4DFqpPuwjVW/mMNZiTAcv/9lQg+LhVET+31OX6aDVT7Q3FZUmfA2Uz1+loRyTdfmHadP38evr6+uH79Oho3blzkei1btoSDgwOOHTtWjtH9R93fYI0Gr4iPjy828zY1NUV8fLwmm64cCt/F1tYoYbogH4zizF5Z0yILK+D6GdXDaBeebDf2BlCrgazZ4JNYLe3f/w8yEXtdNshESU321B2IwLONbGAOB1fZwBxONWUjo3m2MbyR0Uoa/KBwjZa2BpEoTsHayuSEos+RikKd76w+hsCXN8ksrklf4fnHmvrpb7h+xhhjld7SpUuLTaouXryIK1euICwsrPyC0pBGiVXTpk2xceNGvPvuu6hZU3H0tPj4eGzcuLHIWaArvaLuYmtrlDBtc/OUDUH+zx9AFRvZ0M2q+m3I1x38sazAdupn2aAVBFmTQa3tXykHmVB3IAIBigNzdBwkq2UzxGQXKH7wA30k6vLj2aQj8PfvssErOg40rHNZm9T5zurrhok6A2OoWsdQb+4wxhirsNq0aYM2bdqofO7atWv4+++/8eWXX8LV1VWc+NmQaZRYrVmzBv7+/mjYsCEGDhwoTu51584d/PLLLyAicdZmVoi8AOpUUzYIxLVT/xVyDLUQ6uAim+TXxEzWB0NVvw05N0/ZPpqay/pWye9+t/bXzv7JB5koOLx0SdQZiKCpn3Ln/Wadii44G/JgI/pI1OXH8+/fZTVWgiBrWla4H15FUtR3tuDEvM61ZbW82jr/dcWQb+4wxhirlCIiIrBo0SJ4enpi586dsLCw0HdIJdIoserYsSPOnTuHwMBA7N27FxkZGQBkHQf9/f0RHBzMNVZFkTetO3cQgCAb4rg8+r+URTM/WT+Mp/Gymgj5cM2FFSxQ6urut7YKgEVtp/DcUEUVnA11sBG58k7U3TxlNVR3LwEZL4EXT4GYfytfk7KCTSITY2Q1vCamwLNHhp9kGvLNHcYYY5VOUFCQ0gB6hk7jCYKbNm2KvXv3Ij8/H0+fPgUgmzxM1UzIrAD5PE/J8bLJOJMTDL/w6eYpG465uGSmcLKhy3lwtDkHkCbb4f4oRRAAYxPAyFiWhOdkKfeBM+SavtIoaj/k54a9i2yESYsqstpb+ch7Ut5nxhhjjBVL48RKzsjICBYWFrC2tuakSl3N/GRDUScnSKc/Q0lJiFKfJaOKORocYNiDjeiTiztgbS9rBuhUE7CvptgHTgo1feoobj8KDuBSxU6WXOZkGeaEyRUlyWWMMcYMhMaJ1cWLF/HZZ5/h5MmTyM7ORmRkJLp164bk5GSMHz8es2bNQpcuXbQYagVSEfszFEw2TMyApDhZwa0i7FthhvL5GVrB2M0TGDgd2LtONqJi4VEBK0pNX3H7UXiuq+QE2XJDa+5bUZJcxhhjzIBolFidPXsW3bp1Q82aNTFq1Chs3bpVfM7JyQmpqan45ptvOLEqTkXrz1BwRMC/I2V9yAx5gtiyJiX6/vwMtWDs85asL5E8sXgcI1tu6NMKlEZJ+6Hvc0Md/54CHlyTTnNkxhhjTAI0Sqzmz5+PN954A3/99RfS09MVEisA6Nq1q8KM1qySkI8ImJNtGLUSRSVPpU1KDK1mCDDs2h95HNsD/xvwZMxiw6npKyup70dctOzmx7ME2aAajdpIN8lljDHGDIhGidWFCxewbNkymJub4+XLl0rP16xZE48fPy5zcEyKSNanRN8TxBaXPJUmKTHUmiFDr/359xRw67xs4IZnj6QxrUBpSHk/HsfIJsP27SsbYKNVT+nuC2OMMWZANEqsTE1NkZ+fX+TzCQkJsLa21jgoJlFx0bK5i3KzZf2s9DlBbHHJU2mSEkOtGZJErQnJBrIA6TsQ7THE2svSkp//yQmyOemKmj6BMWbQLIyAKbWUlzHG9EejxKpt27aIiIjAzJkzlZ579eoVQkND0blz57LGxqRGnoQ06fjfyID6UlzyVJqkxNBqhgrOFQbBcAv4zfwAT1/ZtAJOtWSjBF44rDpeqSQrhlp7WVhJx1MSSTljrCRVTYCv39B3FIyxgjRKrIKDg9G5c2f06dMHI0aMAABcvXoV9+/fx6pVq/D06VMEBgZqNVAmAaqSEH0VmksqPKpqyqUqVkMqhBaefLaKLVCzARCw2PAKx26esriePACSHiqOFFgwIZFKsgIYbu1lQeoeTyk3ZWSMMcYMlEZVCr6+vvj1119x9+5djB49GgDw8ccfY+LEicjLy8Ovv/6K5s2baxRQVlYW5s6dixo1asDS0hK+vr44cuSIWq89evQounbtCicnJ9jZ2aFNmzbYsWOHRnEwDciTkH6TZX8BWSHv4GbZ37jo8o+ntb96BcgLvwGbZgI/rVKOtTTb0SV5wd7cCkh5DKQlA9HnZP2XCoqLltUOlffxLszNU5aMnt4D3LsCpD8HEu/LEhK5gslK4j3gVITsszCE+AsztNpLVQoezxdJiseaqeXly5dYuHAhevXqBQcHBwiCgLCwMKX1AgICIAiC0r9GjRoprZufn4+VK1fC3d0dFhYWaN68OXbu3FkOe8MYY6w8aTyPVbdu3RAdHY0rV67gzp07yM/PR/369dGqVSsIgqBxQAEBAWIzwwYNGiAsLAy9e/dGVFQUOnbsWOTr9u/fjwEDBqBdu3YICgqCIAjYvXs3Ro8ejeTkZMyaNUvjmFgpFLwTfuGw4d/hB2QF+L3rZIV/B1fZMkOMVV6wjz4PGBkDRiZQ6r9UsFbLxEw2r5TPW3oJF8B/AyU4uALPEwH76ooJiXyfrp+W9fn56yBwdIes+WDh2i19M6Tay6KUJfmTSpNMHUtOTsaiRYtQu3ZttGjRAidOnChyXXNzc6VRcW1tbZXWW7BgAZYvX44JEybAx8cH+/btw7vvvgtBEDB8+HBt7wJjjDE9EYjIYHqWnz9/Hr6+vggJCcHs2bMBAJmZmWjatCmqVauGs2fPFvnanj174vr167h//z7Mzc0BALm5uWjUqBGqVKmCq1evqh1HWloabG1tkZqaChsbm7LtVGV24beim4AZkguHgZ9CgPQUWeG/vhcwea1hxhoXLauhOhUBvEpTHMocMKx9iYuWjQ54KRJIe1Z0ohcXLdufK1GyxOvKccCrG5D5Slb72dq//GOXsrjo0id/BtQkU9+/v1lZWUhJSYGLiwsuXrwIHx8fhIaGIiAgQGE9+U1AVSPjFpSQkAB3d3dMnDgRGzZsAAAQETp37oyYmBg8ePAAxsbGJcal7+PCtKSn5jeeDUKkwRQZGStX6v4Ga9QU0MjICK6urjh58qTK58PDw9W6UBQWEREBY2NjTJw4UVxmYWGB8ePH488//0RcXFyRr01LS4O9vb2YVAGAiYkJnJycYGlpWepYWBkpjBBoqt8RAkvi4g641geq2ssSkYHTDTdWN0/grfeByV8B7y1UTKoA2b6YmMmSKgdXWVKrj+Zg8oL6uYOySrWuI2QJnqraMzdPwG+wLPlOeSzrO5bypHya2xlKs0lt0qTpKjchFJmbm8PFxUXt9fPy8pCWllbk8/v27UNOTg6mTJkiLhMEAZMnT0Z8fDz+/PPPMsXLGGPMcGjcFDAzMxNvvvkmQkJCMGPGDK0Ec/nyZTRs2FApE2zTpg0A4MqVK3Bzc1P52i5dumDFihUIDAzEmDFjIAgCfvjhB1y8eBG7d+/WSnxMTXHRwMmfZP1pDGGEwJJIoYlXYUUNPuDmKUsMC9YU6qMvkLyg7lQTuHPpv9iKUvAzoHzZ+aLrz8KAamn0Tgr9xwzQ69evYWNjg9evX8Pe3h4jRozAihUrFKYbuXz5MqpUqYI33lAcvk1+Xbt8+XKxzdwZK8qLHGBAocY4v7QA7Ez1Ew9jrAyJ1dq1a3H+/HnMmjULFy9exLfffgsLC4syBZOYmAhXV1el5fJljx49KvK1gYGBiImJwRdffIElS5YAAKysrPDzzz/j7bffLvZ9s7KykJWVJT4u7u4jK0HBPj7JCfqfKFhdFWmUNJ+3AJd6+k0U5TVn5w4CEIC/I2XzJZWUXAGypKw84lZnlL/K0u9IijcX9MzV1RVz5syBt7c38vPzcfjwYWzcuBFXr17FiRMnYGIiu7wmJiaievXqSn2PS7qu8XWJlSSHgD9SlJcxxvRH48TK1NQUX3/9NXx9fTF58mTcuHEDe/fuRe3atTUOJiMjQ6Epn5w8YcvIyCjytebm5mjYsCEGDx6MQYMGIS8vD1u2bMGoUaNw5MgRtG3btsjXLlu2DMHBwRrHzQooOJfV9dOAV1dZMy8uqJUvQ0gUzSxlA2y84Qtkvi55QJDyrkEqqZamstVoGcI5IyHLli1TeDx8+HA0bNgQCxYsQEREhDgohabXNb4uMcaY9JS5fdbo0aNx5swZvHjxAq1atcKxY8c03palpaXCHTq5zMxM8fmiTJ06FQcOHMCuXbswfPhwjBw5EkePHoWrq2uJTRXnzZuH1NRU8V9xfblYCQoWVl3rc1JVGcVFA2GBwOUjwIsnwD9/AKZmJddalnc/n8LTAxQ+T7nfESulWbNmwcjICEePHhWXaXpd4+sSY4xJj8Y1VgV5eXnh77//xrvvvotevXrBz89Po+24uroiISFBaXliYiIAoEaNGipfl52dje+++w5z5syBkdF/uaKpqSneeustbNiwAdnZ2TAzM1P5enNzc5V3FDVWWZoPqcJNitjjGCDhtmxIeCtb2b9WPUs+F/TRz6e4Wpqi4qnM329WLEtLSzg6OuL58+fiMldXV0RFRYGIFJoDlnRd0/p1iTHGmM5pJbECADs7Oxw6dAhBQUFiH6fS8vLyQlRUFNLS0hQGsDh37pz4vCrPnj1Dbm4u8vLylJ7LyclBfn6+yud0orI1H1JFSk2KuJCsAyQbCj7tmSy5qtdM1r+qJIaWlKuKh7/frBjp6elITk6Gs7OzuMzLywtbt27FzZs30bhxY3F5Sdc1xhhj0qNRU8CYmBgMGDBAabkgCAgODsbVq1dx/PjxUm938ODBYt8ouaysLISGhsLX11ccEfDhw4e4deuWuE61atVgZ2eHvXv3Ijs7W1z+8uVLHDhwAI0aNSq/IdcravOhijgstbyQfHCz7K8U980gPxdBNmBJy+5ADY+Sm4MW3AdNhgrXpcLxVNTvNyuVzMxMpKenKy1fvHgxiAi9evUSl7399tswNTXFxo0bxWVEhM2bN6NmzZpo3759ucTMGGNM9zSqsapTp06xzzdt2lSjYHx9fTFkyBDMmzcPSUlJ8PDwwPbt2/HgwQN899134nqjR4/GH3/8AfncxsbGxpg9ezY+++wztG3bFqNHj0ZeXh6+++47xMfH4/vvv9coHo1UxGGLK+pdenVGhTNkhvq5uLjLEqsXSYCnT/G1VYa6D0WpiN9vpmTDhg148eKFOGLfgQMHEB8fDwCYNm0aUlJS0LJlS4wYMQKNGjUCAPz+++/49ddf0atXL4WRaGvVqoWZM2ciJCQEOTk58PHxwS+//IJTp05pPOcjY4wxw6RWYrVo0SIIgoAFCxbAyMgIixYtKvE1giAgMDCw1AH973//Q2BgIHbs2IGUlBQ0b94cBw8eRKdOnYp93YIFC+Du7o6vvvoKwcHByMrKQvPmzREREYF33nmn1HFozNCaM2lDaRMQqTSvk3oh2VATw9J8Bwx1H4pSEb/fTMmqVasQGxsrPt6zZw/27NkDABg1ahTs7OzQt29fHDlyBNu3b0deXh48PDywdOlSzJ49W6GvLwAsX74c9vb2+OabbxAWFoYGDRrg+++/x7vvvluu+8UYY0y3BJJX+xTDyMgIgiAgIyMDZmZmShcNlRsWhPLr16RlaWlpsLW1RWpqqtJkxZVSwVoFEzPZQATNipiTSGo1EHHR0i0ky0ffexoHOLsBAYuluQ9SOl8qIgO7EcK/v6rxcakgegolr6Omp9lAtT8UlyV1BpxVj9OlHZE8URarnNT9DVarxio/P7/Yx6yCk9+lv3ZKNtHruYNA9PmSh6iWSg2EIcdXEgGAIMj+ShHXAOkXJ7aMMcaY1pR5HitWSbh5Ak61gJzs4jvuS615nUEO/qCmxzGyz8O7h+yvVAdScPOUnSePY6T5OUhNwXOeB+NgjDHGtEZrw62zSsDFXdYU8O9IWdMzVUmTlGogpH63Xp7EXj8t+1xIojXJUv8ctKG8muMVPtaePkBOFnD9jGzAEUO/EcIYY4wZMLUSK3d3d4WJDdUhCALu3bunUVDMgBXV9KxwwVAKBWOpNVsszM0T6DgQ2LsOyM0BTu8FXOoZ1j6okzAU/hyunTKoPj86V56JZcFjff20rH9ebrYsMe84sHIcb8YYY0xH1EqsOnfuXOrEilVABZueFUxEpFrjULDZookZkBT331xK2qazGgkBMDUHPNsYXnKo7nlR+HP4O1J2nknpXCqL8kzwCx/r3BygSUfZY4FbhjPGGGNloVZiFRYWpuMwmCQU1X9KqjU/pRmUoyx0mXg+jQOS44EXT4C6zQyrKZe650XB5qNJcbLPQWrnUlmUZ7/Egsea8mW1nFLpD8kYU2AmAIOrKS9jjOkP97Fi6iuq/5TUBqwoyM3zv5o4XRXmdZV4XvhNlrClPQPMLAD/cYaVhBQ+LyhfNmiCqlo7efPRuGhZcivFc0lT5d0vsWBTXZd60ugPyRhTYmsK/NRC31EwxgoqU2KVk5ODW7duITU1VeUQ7CVN6sskSFX/KSkNWKGKrhNDXW3/9t/Aq1Sg9htAwh1Z8mZI5H3A7lyS7ffpvcXX2smbS3YcKGuWJsVzSVP66pcolf6QjDHGmARolFjl5+dj3rx52LhxI16/fl3kelKdILjS0Ub/n6IKaAY2+ahKuk4MdbX9hq2AKraypKqKLdDAWzvb1Za46P+SqZys/+/P00F1rZ1U++kxxhhjjP0/jRKrpUuXIiQkBJMmTULHjh3x3nvvYcWKFbCzs8PGjRshCAJWrlyp7ViZLuiyQCulwrKu79zrYvs+b8n+3rkkS6rkjw1F4RHoTMyKrrWTaj89KZHCTQ7GGGNMwjRKrMLCwjB06FBs2rQJz549AwC0atUK3bp1w5gxY9CuXTscP34cb775plaDrRTKu/CjywItF5Z1z+ctw0uoRFRgjqT6xTfxk3I/PSmQ0k0OxhhjTKI0Gl83Pj4e3bp1AwCYm5sDADIzMwEAZmZmGDVqFHbs2KGlECsReeHn4GbZ37ho3b+nLgu0XFjWj7ho2SAR5XH+FBfD6b3/P0eSqSyp8nkLaO1f/MiA/SZzoV8XCt7keJEku8nBGGOMMa3SqMbK0dERL1++BABYW1vDxsYG9+/fV1gnJSWl7NFVNvqo4dFl/yKpD2phaNSpzTSUmgn5uVyaOZJ4IAXd4ZscjFU4qTnA+zcUl21tLBstkDGmHxolVi1btsSFCxfEx127dsXatWvRsmVL5OfnY926dWjRohKPAappcz59FX5KU6At7b7porBcGfuKqJswGUrzy8pQkJfSecg3ORircLIJiCg0GOzGN/QTC2NMRqPEauLEiQgLC0NWVhbMzc3xxRdfoFOnTujUqROICPb29ti5c6e2Y5WGstQYGHrhxxBqQwwhBn1QN2EylITG0M/lspLiecg1goyxsuop8RmII0nfEbAKTqPEqn///ujfv7/4uHHjxrh37x5OnDgBY2NjtG/fHg4ODloLUlI0rTEoePe7tb/Ow9SIIdSGGEIM+qBuwmRICU1FLshXhPNQSjVujDHGmASUaYLggmxtbfH2229ra3PSpUmNgVTufhtCbYghxKAPpUmYpJTQSLVwL/XzUCq/OYwxxpiElCmxysnJQUJCAlJSUkCkXL3q7W1gE5aWB01qDB7HAIn3Afvqsr+GevfbEGpDDCEGfZFSwlRQUcmTlAv3Uj8PK0KNG2OMMWZgNEqsXrx4gdmzZyM8PBzZ2dlKzxMRBEFAXl5emQOULBWJZjErA8nxQOx1oIotQPk6C6vMDKFwbwgxMPUUlzxJvXAv5fNQ6jVujDHGmAHSKLEKCAjAgQMHMHz4cPj6+sLW1lbbcUmXRnfhBcCpJtCgFZDyWL2hqRmTgn9PAQ+uAR4tgeQExeSJC/f6I/UaN8YYY8wAaZRYRUZGYvr06VizZo2245E+Te7Cu7gDrvVlr3OtzwVMVjHERQN/R8q+A4/uAQ28Fc/tylC4N+Q+ZFKucdOhly9fIiQkBOfOncP58+eRkpKC0NBQBAQEKK178+ZNzJo1C6dPn4aZmRn69OmD1atXw9nZWWG9/Px8rFq1Cps2bUJiYiIaNmyIefPmYcSIEeW0VxWE1EekY4xVeBpPEOzh4aHtWCoGTe7CV4YCJqt8HscA6c8Aazvg+WMg85XyOhW5cC/lPmSVWHJyMhYtWoTatWujRYsWOHHihMr14uPj0alTJ9ja2mLp0qV4+fIlVq1ahX///Rfnz5+HmZmZuO6CBQuwfPlyTJgwAT4+Pti3bx/effddCIKA4cOHl9OeMcYY0zWN57HatWsXJk+eDCMjbramQNMkqSIXMKXEkGsYpMbFHTAxA9JTZN8FEzPp9aMqSXHni9T7kFVSrq6uSExMhIuLCy5evAgfHx+V6y1duhSvXr3C33//jdq1awMA2rRpgx49eiAsLAwTJ04EACQkJODLL7/Ehx9+iA0bNgAA3n//fXTu3BmffPIJhgwZAmNj4/LZOcYYYzqlUWIVGBiIrKwstG7dGu+99x5q1aql8sIwaNCgMgcoSZwkSRPXMGguLlrWnwoAmvn99x0YOB3Yuw7IzQFc61WsZq4lnS/ch0ySzM3N4eLiUuJ6P//8M/r27SsmVQDw5ptvomHDhti9e7eYWO3btw85OTmYMmWKuJ4gCJg8eTLeffdd/Pnnn+jYsaP2d4Qxxli50yixSkhIwPHjx3HlyhVcuXJF5TqVflRAJj1cw6CZuGggLBCIPgdAABq1AcYslh07n7cAl3oVs5lrSecLN/GtsBISEpCUlITWrVsrPdemTRv8+uuv4uPLly+jSpUqeOONN5TWkz/PiRVjjFUMGiVW48aNw6VLlzBv3jweFZBJn7w5F4hrGDTxOAZ4GgeYWcqmGXgar5hkVMQa3Lho2X6amhV/vhjavnNTV61ITEwEIGs2WJirqyueP3+OrKwsmJubIzExEdWrV4cgCErrAcCjR49UvkdWVhaysrLEx2lpadoKnzHGmI5olFidPn0ac+fORXBwsLbjYax8FW7O1XGgbLh7rmFQn4s74OwGPH8EQACcaykmGRWtMF/wnDExA9r2BZr6Gf6+cVNXrcnIyAAgazZYmIWFhbiOubm5+Le49VRZtmwZX2MZY0xiNEqsXFxc4ODgoO1YGCt/hZtzCUZAa399RyUtbp5AwGLg2v/3sSqYZFTEwnzhc8bZTRr7xE1dtcbS0hIAFGqU5DIzMxXWsbS0VGu9wubNm4ePPvpIfJyWlgY3N7eyBc4qFFMB6GyvvIwxpj8aJVYff/wxNm3ahPHjx8Pa2lrbMTFWfniAAe0oqslbRSzMS/WckWrcBkjejE/eJLCgxMREODg4iLVUrq6uiIqKAhEpNAeUv7ZGjRoq38Pc3FxlTRdjcnamwAnlbn6MMT3SKLHKzMyEqakpPDw8MHToULi5uSmNCigIAmbNmqWVIBnTGR5gQLcqYmFequeMVOM2QDVr1oSzszMuXryo9Nz58+fh5eUlPvby8sLWrVtx8+ZNNG7cWFx+7tw58XnGGGMVg0aJ1ezZs8X/y+flKIwTKzVVtP4nUmRoAwwYKk3O1YpamJfqOSPVuA3QO++8g+3btyMuLk5sonfs2DHcvn1b4dr39ttvY9asWdi4caN4vSQibN68GTVr1kT79u31Ej9jjDHt0yixiomJ0XYclVNF7H/CKqaynKtcmGcSs2HDBrx48UIcse/AgQOIj48HAEybNg22traYP38+fvrpJ3Tt2hUzZszAy5cvERISgmbNmmHs2LHitmrVqoWZM2ciJCQEOTk58PHxwS+//IJTp04hPDycJwdmjLEKpNSJVUZGBr766it07doV/fr100VMlUdF7H9iyAy5dtCQYwN0f64a+v6zSmXVqlWIjY0VH+/Zswd79uwBAIwaNQq2trZwc3PDH3/8gY8++giffvopzMzM0KdPH3z55ZdKfaOWL18Oe3t7fPPNNwgLC0ODBg3w/fff49133y3X/WKMMaZbpU6sLC0t8c033yi0FWcaqoj9TwyVIdcOGnJscro8V6Ww/6xSefDggVrrNWnSBL///nuJ6xkZGWHevHmYN29eGSNjjDFmyDRqCtiqVStcu3ZN27FUHOrefa+o/U8MkSHXDhpybHK6PFelsP+MMWZg0nOBT+8oLlveAKiqUcmOMaYNGn391q5di969e6Np06YICAiAiQl/i0WlvfvO/U/KhyHXDhpybAXp6lyVyv4zxpgBycwHNsYrLguqD1TVTziMMWiYWAUEBMDIyAiTJk3C9OnTUbNmTaVJDgVBwNWrV7USpKTw3XfDZMi1g+rGJtV+SCXFbcifDWOMMcaYmjRKrBwcHODo6AhPTy4AKeG774arcI2LISUqJdUGSbUfkrpxF9x/Q/pcGGOMMcbUpFFideLECS2HUYHw3XdpkFqi8jgGSLwP2FeX/ZVKTWhpa3Cl9rkwxhhjjP0/I30HUCG5eQKt/blAaMgKFvhfJMkK/AaNgOR44Mpx2V/K13dA6iltDa7kPhfGGGOMMRmNR53Iy8vD999/j0OHDonzfdSpUwd9+/bFyJEjedLDys7Qm3NJrsmmADjVBBq0AlIeA4JE7omUtgZXcp+LhBn6d5QxxhiTGI0Sq9TUVPj7++PChQuoWrUq6tWrBwA4cuQIfv75Z2zatAm///47bGxstBoskwgpNOeSWpNNF3fAtb7smLrWl1bCUZrRBKX2uUiVFL6jjDHGmMRodNt7wYIF+Pvvv7F+/Xo8ffoUly5dwqVLl5CUlIQNGzbg4sWLWLBggbZjZVIhleZcUmqyKU84+k2W/QWAC4dlBeSKRkqfi1RJ5TvKGGOMSYhGidXevXsxZcoUTJkyBaampuJyU1NTTJ48GZMnT8bPP/+stSCZxHBzLu2Ki5YlUYAs4QBktQ0HN8v+VsTkiukWf0cZY4wxrdOoKeCzZ8+KHWq9UaNGeP78ucZBMYnj5lzao6rJFs+VxsqKv6OMMcaY1mlUY+Xh4YH9+/cX+fz+/ftRv359jYNiFQA359IOVU22uLaBaQN/RxljjDGt0qjGasqUKZg6dSp69+6NmTNnomHDhgCA6OhorFu3DkeOHMGGDRu0GihjlZKqJEqKtQ3qjkDHI9UxxhhjTKI0TqySkpKwfPly/P777wrPmZqa4vPPP8fkyZO1EiBjlVpRSVRpRtrTN3VHoOOR6hhjjDEmYRrPYxUUFISpU6fi6NGjCvNYvfnmm3ByctJagJUC36VnxZFSEqWKun3CKkrfMf4+M8YYY5WSxokVADg5OWH48OHaiqVy4rv0rKJTt09YReg7xt9nxlg5MRaAxlWUlzHG9KdMiVV6ejpiY2ORkpICIlJ6vlOnTmXZfOVQUe7SM1YUdfuESbHvWGH8fWaMlRMHU+B6e31HwRgrSOPh1qdOnYqff/4ZeXl5AAAigiAICv+XP8eKURHu0jNWEnWbM0q92SN/nxljjLFKS6PEasKECThw4ACmT58OPz8/2NvbazuuyqMi3KVnjMlI4fvMfcAYY4wxndAosYqMjMSsWbOwcuVKbcdT8ahTiJH6XXrGKqO4aODfU7L/N/OTxoiN3AeMMcYY0xmNJgi2srJC3bp1tRyKTFZWFubOnYsaNWrA0tISvr6+OHLkiNqv//HHH9GuXTtUqVIFdnZ2aN++PY4fP66TWEskL8Qc3Cz7GxetnziYdMRFAxcO87li6OKigbBA4IfFwA9LgO2B0vjMVE04zTRy4sQJCIKg8t9ff/2lsO7Zs2fRsWNHWFlZwcXFBdOnT8fLly/1FDljjDFd0ajGatSoUdi7dy+mTJmi7XgQEBCAiIgIzJw5Ew0aNEBYWBh69+6NqKgodOzYsdjXBgUFYdGiRRg8eDACAgKQk5ODa9euISEhQetxqoU7srPS4NoE6XgcAzyNA8wsASLgabw0vt/cB0zrpk+fDh8fH4VlHh4e4v+vXLmC7t2744033sDq1asRHx+PVatW4c6dO/jtt9/KO1zGGGM6pFFiNXjwYPzxxx/o1asXJk6cCDc3NxgbGyut5+3tXartnj9/Hrt27UJISAhmz54NABg9ejSaNm2KOXPm4OzZs0W+9q+//sKiRYvw5ZdfYtasWaXbIV3hQgwrDU7EpcPFHXB2A54/AiAAzrWk8f2WQh8wifHz88PgwYOLfH7+/Pmwt7fHiRMnYGNjAwCoW7cuJkyYgMjISPTs2bO8QmUVzKs8IOSB4rJP6gJVlItjjLFyolFiVbDmSFUzPU1HBYyIiICxsTEmTpwoLrOwsMD48eMxf/58xMXFwc3NTeVr165dCxcXF8yYMQNEhFevXsHa2rpU7691XIhhpcGJuHS4eQIBi4Fr/9/HqqmfdL7fhtwHTKLS09NhaWkJExPFS2paWhqOHDmCWbNmiUkVILthOGvWLOzevZsTK6ax13lA8H3FZR+6cWLFmD5plFiFhoZqOw4AwOXLl9GwYUOFCxAAtGnTBoCsSUVRidWxY8fQvn17rFu3DkuWLMGzZ8/g4uKCBQsWYOrUqTqJVy1ciGHq4kRcWvi7zQCMHTsWL1++hLGxMfz8/BASEoLWrVsDAP7991/k5uaKj+XMzMzg5eWFy5cv6yNkxhhjOqJRYjVmzBhtxwEASExMhKurq9Jy+bJHjx6pfF1KSgqSk5Nx5swZHD9+HAsXLkTt2rURGhqKadOmwdTUFJMmTSryfbOyspCVlSU+TktLK+OeMKYhLqwzJglmZmZ455130Lt3bzg5OeHGjRtYtWoV/Pz8cPbsWbRs2RKJiYkAUOR17dSpU0Vun69LjDEmPRqNClhQYmIirl69ilevXpU5mIyMDJibmystt7CwEJ9XRT660rNnz7B161bMnj0bQ4cOxaFDh9C4cWMsWbKk2PddtmwZbG1txX9F1YoxxhhjANC+fXtERERg3Lhx6N+/Pz799FP89ddfEAQB8+bNA/DfNauo61pR1zSAr0uMMSZFGidW+/btQ6NGjVCrVi14e3vj3LlzAIDk5GS0bNkSe/fuLfU2LS0tFe7QyWVmZorPF/U6ADA1NVXoRGxkZIRhw4YhPj4eDx8+LPJ9582bh9TUVPFfXFxcqWNnjDFWuXl4eODtt99GVFQU8vLyxGtTUde1oq5pAF+XGGNMijRKrA4cOIBBgwbByckJCxcuBBGJzzk5OaFmzZoICwsr9XZdXV3FphMFyZfVqFFD5escHBxgYWEBR0dHpdEJq1WrBkDWXLAo5ubmsLGxUfjHmIjnlmKMqcnNzQ3Z2dl49eqV2ASwqOtaUdc0gK9LjDEmRRolVosWLUKnTp1w+vRpfPjhh0rPt2vXTqNOuV5eXrh9+7ZSW3J5bZiXl5fK1xkZGcHLywtPnz5Fdna2wnPyflnOzs6ljocxnuRZyzhJZRXc/fv3YWFhAWtrazRt2hQmJia4ePGiwjrZ2dm4cuVKkdc0xhhj0qRRYnXt2jUMHTq0yOerV6+OpKSkUm938ODByMvLw5YtW8RlWVlZCA0Nha+vr9jG/OHDh7h165bCa4cNG4a8vDxs375dXJaZmYnw8HA0bty42DuDjBWp4NxSL5JkI/YxzXCSyiqQp0+fKi27evUq9u/fj549e8LIyAi2trZ488038f333yM9PV1cb8eOHXj58iWGDBlSniEzxhjTMY1GBbSysip2sIr79+/D0dGx1Nv19fXFkCFDMG/ePCQlJcHDwwPbt2/HgwcP8N1334nrjR49Gn/88YdCE8RJkyZh69at+PDDD3H79m3Url0bO3bsQGxsLA4cOFDqWBgDwHNLaRNPgMwqkGHDhsHS0hLt27dHtWrVcOPGDWzZsgVWVlZYvny5uN4XX3yB9u3bo3Pnzpg4cSLi4+Px5ZdfomfPnujVq5ce94Axxpi2aZRYde3aFdu3b8fMmTOVnnv8+DG+/fZb9O3bV6OA/ve//yEwMBA7duxASkoKmjdvjoMHD6JTp07Fvs7S0hLHjx/HnDlzsG3bNrx69QpeXl44dOgQ/P39NYqFMZ5bSos4SWUVyIABAxAeHo7Vq1cjLS0Nzs7OGDRoEBYuXAgPDw9xPW9vbxw9ehRz587FrFmzULVqVYwfPx7Lli3TY/SMMcZ0QaCC1T5qio6ORtu2bVG3bl0MGTIEgYGBmD17NkxNTfHNN9+AiHDx4kXUrVtXByHrXlpaGmxtbZGamsodhhnTprhoTlJZsfj3VzU+LgB6CvqOwKA8zQaq/aG4LKkz4Gymn3gkIbLURV7GAKj/G6xRjZWnpydOnz6NGTNmIDAwEESEkJAQAECXLl3w9ddfSzapYozpEE+AzBhjjLEKSqPECgCaNGmCo0ePIiUlBXfv3kV+fj7q1asnjr5HRBAEvrvEGCsgLlrW18rFnRMsxhhjjFUoGidWcvb29vDx8REfZ2dnIywsDKtWrcLt27fLunnGWEUhHxXwRZKsj9Xgjzm5YowxVn4qQnNSbs5o0EqVWGVnZ2P//v24d+8e7O3t0bdvX3EY89evX2PDhg1Yu3YtHj9+jPr16+skYMaYRPGogIzpV0UoVDKRAMDJVHkZY0x/1E6sHj16hC5duuDevXviMOeWlpbYv38/zMzM8O677yIhIQFt2rTB+vXrMWjQIJ0FzRiTIB4V0PBw00zGJMvJDHjaRd9RMMYKUjuxWrBgAWJiYjBnzhz4+fkhJiYGixYtwsSJE5GcnIwmTZrg+++/R+fOnXUZL2NMqnjoesPCTTMZY4wxrVI7sTpy5AjGjh2rMPeGi4sLhgwZgj59+mDfvn0wMjLSSZCMsQqCRwU0HNw0kzHGGNMqtTOhJ0+eoG3btgrL5I/HjRvHSRVjjEkJN81kjDHGtErtGqu8vDxYWFgoLJM/trW11W5UjLGKifv0GA5umskYY4xpValGBXzw4AEuXbokPk5NTQUA3LlzB3Z2dkrre3t7ly06xljFwX16DA83zWSMMca0plSJVWBgIAIDA5WWT5kyReGxfHLgvLy8skXHGKs4uE8PY4xpTUYesO2R4rJxNQBLY/3EwxgrRWIVGhqqyzgYYxUd9+lhjDGteZkHTL2luGxodU6sGNMntROrMWPG6DIOxlhFx316GGOMMVaBlaopIGOMlQn36WGMMcZYBcVjpDPGGGOMMcZYGXFixRhjjDHGGGNlxE0BGWOMMakYYMtXbsYYM1BcY8UYY4wxxhhjZcSJFWOMMcYYY4yVETcoYIwxxhhjTAp6CvqOoGwiSd8R6BTXWDHGGGM6lJWVhblz56JGjRqwtLSEr68vjhw5ou+wGGOMaRknVowxxpgOBQQEYPXq1Rg5ciS++uorGBsbo3fv3jh9+rS+Q2OMMaZF3BSQMcYY05Hz589j165dCAkJwezZswEAo0ePRtOmTTFnzhycPXtWzxEyxhjTFk6sGGOMMR2JiIiAsbExJk6cKC6zsLDA+PHjMX/+fMTFxcHNzU2PETLGWDmSah+xXPVW46aAjDHGmI5cvnwZDRs2hI2NjcLyNm3aAACuXLmih6gYY4zpAtdYqUAkG7EkLS1Nz5EwxljlIv/dlf8OS11iYiJcXV2VlsuXPXr0SOXrsrKykJWVJT5OTU0FAKSpedeUVXzpKs6F9FzAnG+ZM6Z18t/ekq5NnFipkJ6eDgDcPIMxxvQkPT0dtra2+g6jzDIyMmBubq603MLCQnxelWXLliE4OFhpudsp7cbHKpb6Z/QdAWMVW0nXJk6sVKhRowbi4uJQtWpVCIJyW9C0tDS4ubkhLi5OqXmHFEg5fo5dPzh2/ZBy7IBm8RMR0tPTUaNGDR1HVz4sLS0Vap7kMjMzxedVmTdvHj766CPxcX5+Pp4/fw5HR0eV1yVDJvXzWKr4uOsHH3f90PVxV/faxImVCkZGRqhVq1aJ69nY2Ej6SyPl+Dl2/eDY9UPKsQOlj78i1FTJubq6IiEhQWl5YmIiABR5kTY3N1eq6bKzs9N6fOVJ6uexVPFx1w8+7vqhy+OuzrWJW+IyxhhjOuLl5YXbt28r9dk9d+6c+DxjjLGKgRMrxhhjTEcGDx6MvLw8bNmyRVyWlZWF0NBQ+Pr6cl9exhirQLgpoAbMzc2xcOFClR2SpUDK8XPs+sGx64eUYwekH782+Pr6YsiQIZg3bx6SkpLg4eGB7du348GDB/juu+/0HV654PNAP/i46wcfd/0wlOMuUEUZ05YxxhgzQJmZmQgMDMT333+PlJQUNG/eHIsXL4a/v7++Q2OMMaZFnFgxxhhjjDHGWBlxHyvGGGOMMcYYKyNOrBhjjDHGGGOsjDixYowxxhhjjLEy4sSKMcZYqXH3XMYYY+UhPz9f3yGojRMrpndcQGOVTWpqqr5D0NiPP/4IABAEQc+RMEPCv+PlIzMzU+ExH3dWkd25cwd5eXkwMpJOuiKdSHXo8uXLePjwoUJhRyo/Vq9fv9Z3CBq7f/8+Xr9+rXShkIqrV6/izp07iI+PF5dJ5bzZt28fpkyZgvv37wOQ1t2gnTt3omrVqjhz5oy+Qym1PXv2oGfPnlizZg0ePHig73BKZdeuXahfvz5GjBiB06dP6zscpkdHjhzBp59+ik2bNuHs2bMAONHWtWvXrmHIkCEYPnw4PvjgA5w/fx4AH3dd+/HHH/HBBx9gxYoVCr97UrnWS9WOHTvQsGFD9OzZE40bN8aiRYskc0OyUidWN2/eRMeOHdG9e3e0aNECbdq0wc8//4zc3FwIgmDQX5zo6Gi0atUK77//vr5DKbV//vkHffr0Qb9+/eDu7o4uXbrgzJkzBn28C/rnn3/Qo0cP9O3bF61atUKLFi2wbt068bwxdEeOHMHAgQOxY8cOHDx4EAAkcTfo8uXL8PX1xbhx49CnTx/Y2NjoOyS1PXr0CH369MHo0aNhZmYGKysrWFlZ6TsstciP+5gxY1C1alVYWFggKytL32ExPUhNTcWwYcPQr18/HDp0CB9//DH8/f2xbt06PH/+HAAXOLVJfix37NiBdu3aISEhATk5Odi5cyd69OiBVatW6TnCiuvJkyfo1asXxo8fjwsXLmDFihV48803ERQUhBcvXhh8GVHKvv32W0yePBndunXD+++/D29vbwQFBWHKlCm4d+8eAAO/GUyV1JMnT6hly5bUvn172rZtG23bto3atm1LdnZ2tHDhQiIiys/P12+QKuTn51NERAQ1bNiQBEEgQRDoxIkT+g5LLbm5ubRu3Tpydnamzp070+eff05TpkwhNzc3atSokcHvR3Z2Nn3xxRdkZ2dHnTt3pvXr19POnTupS5cuZGNjQ3v27NF3iMWSn89///03OTo6kqWlJfn6+tKVK1eIiCgvL0+f4RXp9evXNHbsWBIEgTp37kz79u2jJ0+e6DusUlm4cCG98cYbFB4eTg8fPtR3OGpJTU2l0aNHkyAI1KVLF9q3bx8dOnSILCwsaNWqVUQk+06zymP37t1kb29PW7ZsoYcPH9LNmzdp9OjRZG5uTh9//LG+w6uwOnXqRL169aIHDx4QEVFMTAyNHDmSBEGgnTt3UlZWlp4jrHi2b99ODg4OFB4eTo8ePaJnz55RQEAAVa1alaZMmaLv8Cqsly9fUvv27enNN9+kxMREcfmKFSvIxsaGhg8frsfo1FNpE6tdu3aRiYkJRUREiMvi4+Np2LBhJAgCHT16VI/RFe3evXvUtGlTcnR0pCVLllDjxo2pbdu2lJOTo+/QSnT48GGqV68ejRs3jm7duiUuP3PmDAmCQHPnzjXo/Th06BB5e3vTzJkz6fbt22Kh8s6dOyQIAq1cudIgk/HCIiIiqGfPnrR582YSBIHmz58v7ouhxZ+bm0tffPEFCYJAEyZMoKdPnxZ5jhha7HIPHz6k6tWr0/Tp05WWF2RI8b969YoaNGhA9erVo02bNlFsbCwREd2/f5/s7e1p0KBBBpuIM93p378/NW7cWGn5gAEDyM7Ojnbt2kVEnHBr06VLl8ja2ppWr16tsDw2Npa6d+9OHh4edPr0aT1FV3F17tyZ2rZtq7Ds1atXFBAQQIIg0KFDh4jIsH63K4Lnz5+Tk5MTLVmyhIgUf0s++OADsrCwoO+++46IDPdmsOG3/9GR2NhYVKlSBQMHDgQA5OTkoGbNmpgzZw58fHwwc+ZMJCUl6TlKZSYmJujfvz+OHTuGBQsW4MMPP8S5c+ewfft2fYdWohs3bsDc3BzLly+Hp6cnACA7Oxvt27eHr68vLl26BBMTE4OtXre1tcXIkSMxf/58NGjQAMbGxgBkbd+dnZ1Rp04dg24eII/Lzc0N586dw6RJk9C9e3eEhoYiKipKz9GpZmxsDH9/f7Rv3x6nTp2Ck5MTTExMsH//fgQEBGDu3LkIDQ1Fdna2wTbDfPDgAdLT0zF16lQAsmY9TZo0Qa9evTBw4EDs3LkTgOH0lcjPz4eVlRW2b9+O/fv3Y/z48ahduzYAwN3dHR4eHnj+/DlycnIM9lxn2peVlYXs7GzY2dmJy7KzswEACxYsgLu7O+bNm4fc3Fzxt5GVnYuLC7Kzs1GlShUAEJvh1q5dG6tWrUJCQgLCwsKQnJyszzArjPz8fGRlZcHCwgImJibi8tzcXFhZWWHatGnw9vbG9OnTQUQG87stRYcOHYK3t7dC37W0tDQIgoDExERkZWXB2NgYeXl5AICpU6fCy8sLQUFByMzMNNwuDHpN68qBPKMtfFdhzZo1VLVqVYqKiiIiUrhj/+OPP5K5uTktXbpU5WvLS1GxZ2Zmiv+Pjo6mnj17Uq1atSg5Oblc4ytOwdgLxh8dHa3wPJHs2Hfp0oU6duxIGRkZ5RtoEYo69oWdOnWKmjZtSjY2NhQUFET//vsvpaSkKGyjvJUUe0REBHl4eBAR0eXLl0kQBBozZgw9f/682NeVh6Jil9euffzxx9SzZ08SBIE8PDyoatWqJAgCDRo0iK5du6awjfJWVOwXL14kExMT2rt3L23bto2MjIxo8ODBNGbMGKpWrRoJgkChoaF6iPg/6pzv+fn5lJeXRx9++CHZ2tqK5znfsa1Ynj9/Trdv3xZ/DwoaMmQINWzYUPwdL2jNmjVkYWFBX3zxBREZ7t1kqUlLS6MWLVpQ165dxWUFv3OffPIJVa1alY4dO6aP8CTt5s2bNGPGDJo2bRotWLCAbt++LT43YMAA8vT0pH///ZeIFM/nLVu2kCAItGbNGqXnmHpiYmKoTp06JAgCDRw4UOG5Ll26UJs2bSg+Pl7pdV999RVVrVqVli9fTkSGef2psImVvD/M1q1bFZbLP4QjR46Qubk5BQUFicvkX47Hjx/T0KFDydnZWS9tl4uKvSg//vgjWVpa0pw5c3QcWclKG7s88WrZsiUNGzZMXKYv6sQvP0/mzp1LgiBQ165dacyYMTR+/Hiys7PTWxvgkmKXH9fz589T1apV6dGjR0RENH78eDI3N6cffviBiGTNHcpbSd/X2NhYGjx4MAmCQN26daPDhw9TbGwsJSQk0OLFi8nIyIiGDBlS7nETlXzcL168SE5OTjRq1Chq0aIFBQYGUnp6OhER/fPPP+Tv70+Ojo508+bN8gybiEr/fSUiCgwMJEEQaP/+/TqMjOnD/PnzydPTk1xdXcnMzIw+/fRThSTq0KFDYr8eOflNybi4OOrYsSO1aNGCnj59Wu6xV2SffPIJubi4UGRkJBEpNo+6e/cuOTk50ezZs4nIMAuahiYrK4tmz55NlpaW1Lp1a2rQoAEJgkD16tWjn376iYhkNyAFQaBt27aJ13z5cX/w4AF1796d3N3duX+bhlJTU8nOzo6aNGlCtWrVov/973/iczt27CBjY2OFrjryY//w4UNq0aIFdenSRby5Z2gqZGJ18uRJatKkCQmCQD179qQbN24QkfIPjre3N7Vs2VK8I1Hw+fDwcDIxMaFNmzapfK2+Yy+4LCkpicaNG0cWFhbiXXt9/LiWJvaC4uLiqEqVKrRs2TIi0l/7fHXjlz/eu3cv/fjjj5ScnCwumzdvHhkZGVFISAgRld+drNIc+927d1PDhg3FASDS0tLIysqKunbtSmPHjqX33ntPTLoMKfbw8HAKCAigM2fOKD03cuRIsrW1FQv7hvZ97dChAxkZGZGTkxOdPXtW4bnIyEhycHCgGTNmEJFhnjMF4zp16hQJgkC7d+8udn0mHf/88w917tyZatWqRfPnz6elS5fSuHHjSBAEGj9+vNivMS4ujnx8fKhDhw4KhRr5ORAUFERVq1YVEwCmHU+ePCEHBwd69913xeuj/PuYnp5OI0eOJDc3N32GKBnp6ek0f/58qlevHq1YsYKio6MpLy+Pjh07RjVq1CA/Pz96/fo15ebmUosWLcjPz08cNKSg4OBgsrOzE/taMfXl5+dTXFwcdenShb744gvy9PQkHx8fevnyJRHJ+q37+PiQr6+vwk0a+Tk/depUcnV1pfv37+sl/pJUuMTqzz//pEaNGlHdunVpyJAhJAgCrVixQqHDu/yHad++fSQIAi1ZskRsgiZ/Ljo6mmrVqkUTJ04st4KOOrEX5dixY1SzZk2lKtXyUpbYT548SYIg0O+//14OkapWmviLK0jeuXOHPDw8qEWLFgpNNnVJ3djlcZ86dYqsrKwoLi5OfG7EiBFkbGxMpqamtHDhQvEHzhBil8edmppKSUlJCq+Xr/fXX3+RIAgKNdCGELv89+Tw4cPiKJ7ymin5nc6kpCTq1asXubm5Gdw5o8q1a9fI3t6epk2bRkScWEldSkoKBQQEkIeHB+3Zs0ehxvrtt98mZ2dnOnXqFBHJvm/ffvstGRkZ0ddffy2e39nZ2UQku24KgiCOkMpNpLRn0aJF5OzsLHbcL3gDcu7cuVStWjW6d++evsKTjJiYGHJ3d6dJkybRixcvFJ6bNGkSOTs708WLF4lIVnMiCAKtXr1a/F7If7cvX75MRkZGtHfvXiLi38HSSkpKIgsLC7p58yYtX76crK2txQErMjMzafv27WRsbEzLli0Tj738+vjTTz+RqampyibJhqDCJVY3btwgc3NzsTrXz8+PGjRoQGfOnFG5fu/evalGjRp04MABIlL8sWrSpAmNHj2aiMrnS1Pa2AvG9fLlS7GJjryt9R9//EH79u1TWM+QYpfbuHEjmZiYiM2jcnNz6d69e+KPm6Ee+4IKFiDatWtHbdu2LbdCcuHYO3XqVGzsu3btIk9PT3rx4gVFRUVRx44dydjYmGxsbMjDw0MsRBnycS/cfPfp06dkZ2dXrs1hSxu7fHjkSZMmEREpJDGDBw+mxo0bU2pqqu4Dp7Kd70lJSVSnTh3q3r07paWl6TpUpmPPnz8nHx8fscBO9F+iFBUVpXBNIZKNnjto0CCqUaMGRUVFKfxO/Pnnn2Rubk6bN28uvx2oJDIzM6lp06bk4eGhdKd+ypQpVK1aNYNtGmVI8vPzacuWLQrL5Of77t27ycTERLz59eLFCxo0aBC5uLjQL7/8ovCa8+fPkyAItH379vIJvALJy8ujhIQE8vT0pJMnT9Ljx4+pbdu25O7uLiZLjx8/pvHjx5O1tTXt2LFDfG1+fj69//775OLiQnFxcQaZ0FaoxEqeFBW8qy2vDZk+fbpYaClYCI6NjSVra2tq27YtXbp0SVz+119/kY2NDQUHBxtU7KpOIvn+3Lp1i7y9valZs2YUHBxMbm5u5OjoqPM5f8oSOxFRv379qH379kQka2ry/fffU8uWLcnb25uePXum09iJtHPs5X7//XcyNTWlmTNn6jDi/5Qmdnn8x44dIzMzM+rbty8ZGxtThw4d6OTJk7R7926x4F8e7ca1edw3btxIgiDQt99+q8OI/6PJb01cXBzZ2Ngo1c5ev36d6tevT6NGjSqXi4Q2jvugQYOoSZMm9PLlS4O8sDH1yD/PmzdvqhzAJDIykkxMTOjHH39UeN2///5LNWvWpFatWonn8pMnT2jOnDlUo0YNlU2nWNn9+eefVLNmTWrWrBmdOnWKHj58SL/99hu5u7vTrFmz+LuoJvlNrcLdDkJCQsjY2FhhOpi4uDiqXr06NWnShA4fPkxERAkJCTR16lSqU6cOPX78uPwCr0CeP39OVlZW4s28b775hhwcHGj8+PFERJScnEyPHz8mX19fsrW1pc8++4wiIyNp69atVLduXYOeS0yyidWuXbto0qRJtHz5cjp58qS4vOAPi/xCMWbMGLKzs1O64yD/UoWFhVHt2rXJ3d2d1q1bR1u3bqV+/fqRm5sb/fPPPwYZuyqxsbHiHAuCINDbb7+t0NzL0GLPz8+n9PR0cnV1peHDh9PRo0epf//+JAgC9erVS+WIMIYUf0GPHj2iAwcOUOfOnalx48Zivz1DjP3MmTPUvHlzeuONN2jDhg0UFxcnfhc6dOhAEyZM0Hpipavj/vjxY9q7dy81b96cOnfurJORMbX5W7Nr1y5ydXUlBwcHmjBhAi1dupTeeustsre310lTWF0c9/z8fFqyZAkJgiDeXeQCXcUi/zz3799PgiCIBc2Cn/OJEyeoXr16JAgCdejQgbp3707m5ub0ySefUFZWFp8TOnL8+HGqV68emZqaUv369cnGxoa8vb31MvhNRSH/DZwxYwa5uLiINVjy3+3ff/+dvL29SRAE8vLyonbt2pGpqSkFBwdTbm4un+sauH//PjVs2FC83mRlZdHAgQPJycmJhg0bRt7e3vT333/T/fv3adKkSSQIAtnZ2ZGFhQWNGDGi3Fp3aEJyidXjx4/J39+fqlSpQt7e3mRvb0/m5ua0cOFCsRq88GSn8fHxZG1tTYMGDRITjby8PKWLRIcOHcjW1pYcHR2pefPmWp90T5uxF3bq1Cnq1asXGRkZUcuWLdVuwqbv2O/evUtWVlbk7e1N1tbW5OnpqZNhY3UV/4kTJ2jChAk0ePBgqlq1KrVo0YIuXLhgkLHL79JlZ2fTyZMn6d9//xUTKPnrtD3cvS6P+wcffEAjRowga2tr8vb2pitXrhhs7AV/a86cOUP+/v5kZ2dH1apVo5YtWyokPYYWuypr1qwhQRAURm1iFc+nn35K9vb2lJKSorLf4927dykoKIiGDRtGvXr1ooMHD+or1Erl7t27FB4eTp9//rlCMylWNq1ataJ33nmHiJRrs54+fUrLly+nCRMm0LBhw5QGIWKl8+zZMzI3N1coZ3/yySdkZmZGxsbGtGDBAoXWVjdv3qSoqChxgDZDJrnEavv27eTg4EDh4eH06NEjevbsGQUEBFDVqlVVVg3KLwBffPEFGRkZ0ZYtWxQKOQX/n5GRQU+ePNF6wVhXsRd09OhRMjMzow0bNkgq9uPHj5MgCFStWjWdxa7L+A8cOEAeHh7UpUsX2rZtm2RiL687bLo67hEREWRtbU2+vr46a/6ny9+arKwsSklJoatXr0oidjl5opWYmEhhYWE6iZ3pn/xz9vf3p3bt2qm9PmNSlZSURJaWluKIvkSy81rVfG6s7O7du0cNGzakyMhIOnv2LPn5+ZGxsTE1aNCAbGxsxH6a+holuiwkl1h17tyZ2rZtq7Ds1atXNGbMGBIEQRz6svAPfXZ2NtWvX598fX3FSeDu3bun0M9A1xcHXcZOpNsTUNuxF7wT8c0334hV71KM/969ezo9d7QZ+927d5XOG13S5XG/evWqpM75ivJbw81eKo7izsPc3Fyys7OjwMBAcdmzZ8/o+PHj9Pr1ayLic4FVHPKbvCdOnCAi2c2jHTt2kI+PT7leMyuL+Ph4Mjc3Jy8vLzIxMaF27dpRZGQknTlzhpo0aUI1a9aUbFIrmcQqLy+PMjMzyd/fnzp06CAulzdP+Pvvv6lVq1ZUr149pR/7wsOrz507l0JDQ8nb25umT5+u8wlROXbVsZfHiGK6jF/XQ5LrMnZ5wUiKsUv5uEv5+6qPiaOZbuTn5yskVXv37qXz588rrHPp0iVxRMCMjAw6e/asOLeVfH5HxqRO/ju4YsUKsrOzo9u3b1NUVBQNHDiQTE1NqXXr1gpzVTLtyM3Npffee488PDxo/fr19PDhQ/EaFBgYSKNHj6bU1FRJHneDTKxu3rxJM2bMoGnTptGCBQvEO6dERAMGDCBPT09xcICCF4ctW7aQIAi0Zs0aIlKuwcnJySEfHx8yNjYmQRDI1dVVHOWFY5d27FKPn2Pn2CtT7Ex/Cn7e165do+7du5MgCLR06VKFQsxXX31FxsbGFBERQUuWLCFHR0dycXGhH374QR9hM6ZTgwYNovr169OECROoatWq1KBBA57oWsfi4+Pp2rVrSlPTqDOfoiEzqMQqKyuLZs+eTZaWltS6dWtq0KABCYJA9erVE+dbiYiIIEEQaNu2bWJhQX6hePDgAXXv3p3c3d2VOuVfunSJFixYQNbW1lS1alVau3Ytx14BYpd6/Bw7x16ZYmf6UzChSk9Pp4kTJ5IgCNSmTRuxLx7Rf0n45MmTqUqVKlSvXj0yMTGhBQsW6CVuxnQtIyODvLy8SBAEsrGxEW86MaYJg0ms0tPTaf78+VSvXj1asWIFRUdHU15eHh09epRq1KhBfn5+9Pr1a8rNzaUWLVpQp06dVM6VERQURHZ2dmIfAiJZoWHq1KkkCAKNGTNGnIiWY5d27FKPn2Pn2CtT7Ew/Cs5hRyQb0bFq1apUs2ZNWrlyJd25c0dlX6sOHTqQIAg0atQo7mPCKrw5c+bQ3LlzlWpPGCstg0msYmJiyN3dnSZNmkQvXrxQeG7SpEnk7OxMFy9eJCKiHTt2kCAItHr1arHdv/zO6+XLl8nIyIj27t1LRP9VKZ4/f55u3LjBsVeg2KUeP8fOsVem2Jl+HT58mBo1akQWFhY0ZcoUOn/+vMrpFeQ1W+fOnRPPJcYqOh7ZkmmLwSRW+fn5tGXLFoVl8pHidu/eTSYmJuIEeC9evKBBgwaRi4uL0mSW58+fJ0EQaPv27eUTOHHsRPqJnUja8XPsHHtpSTl2ph95eXn02WefkSAI1K9fP/rtt9/EucwYY4xpl8EkVkT/3TUt3Jk6JCSEjI2NxdnfiYji4uKoevXq1KRJE7FjdUJCAk2dOpXq1KlDjx8/Lr/AiWPXV+xE0o6fY+fYS0vKsTP9iIqKou3bt1N8fLy+Q2GMsQrNoBKrwuRVszNmzCAXFxfxzqy8QPH777+Tt7c3CYJAXl5e1K5dOzI1NaXg4GDKzc3V6zCNHLv+SDl+jp1jr0yxs/JRuJ8Vf+aMMaYbAhERDFzr1q1Rt25dREREIC8vD8bGxuJzycnJ+O6773Dv3j2kpaVhxowZaNeunR6jVcSx64+U4+fY9YNjZ4wxxpjG9J3ZlSQpKYksLS0pJCREXJaXlyeJGZk5dv2Rcvwcu35w7IwxxhgrCyN9J3YluXbtGjIzM+Hj4wMAePz4MX744Qf4+/vj6dOneo6ueBy7/kg5fo5dPzh2xhhjjJWFwSZW9P8tFC9cuABbW1vUqFEDJ06cwJQpUzBu3DgQEYyMjMT1DAnHrj9Sjp9j1w+OnTHGGGPaYKLvAIoiCAIA4Ny5c3B0dERISAh27doFFxcXHDp0CD169NBzhEXj2PVHyvFz7PrBsTPGGGNMK8qv1WHpZWRkkJeXFwmCQDY2NrRmzRp9h6Q2jl1/pBw/x64fHDtjjDHGysrgRwWcO3cuBEFAcHAwzM3N9R1OqXDs+iPl+Dl2/eDYGWOMMVYWBp9Y5efnw8jIYLuCFYtj1x8px8+x6wfHzhhjjLGyMPjEijHGGGOMMcYMHd/iZIwxxhhjjLEy4sSKMcYYY4wxxsqIEyvGGGOMMcYYKyNOrBhjjDHGJCYsLAyCIODBgwcavT4gIAB169bVakzlqaz7r8qDBw8gCALCwsK0ts3S6t27NyZMmKC17Q0fPhxDhw7V2vZY8TixYowxxlilsXHjRgiCAF9fX32HwvTkhx9+wNq1a/UdhpIzZ84gMjISc+fOFZe9ePECI0eOhL29PerVq4fvvvtO6XUXL16ElZUVYmJilJ6bO3cufv75Z1y9elWnsTMZTqwYY4wxVmmEh4ejbt26OH/+PO7evavvcJgeFJVY1alTBxkZGXjvvffKPygAISEh6N69Ozw8PMRls2fPxokTJxAcHIy+fftiwoQJOHv2rPg8EWH69OmYOXMm3N3dlbbZsmVLtG7dGl9++WW57ENlx4kVY4wxxiqFmJgYnD17FqtXr4azszPCw8P1HVKl8+rVK32HUCRBEGBhYQFjY+Nyf++kpCQcOnRIqdnewYMHsWzZMkyfPh3r1q1Dp06dcODAAfH58PBwxMbGYv78+UVue+jQodizZw9evnyps/iZDCdWjDHGGKsUwsPDYW9vjz59+mDw4MEqEyt5P5tVq1Zhy5YtqF+/PszNzeHj44MLFy4orBsQEABra2skJCRgwIABsLa2hrOzM2bPno28vDxxvRMnTkAQBJw4cULlexXs0/PPP/8gICAA9erVg4WFBVxcXDBu3Dg8e/ZM4/3+5Zdf0LRpU1hYWKBp06bYu3evyvXy8/Oxdu1aNGnSBBYWFqhevTomTZqElJQUpfWCgoJQo0YNWFlZoWvXrrhx4wbq1q2LgIAAcT15P6g//vgDU6ZMQbVq1VCrVi0AQGxsLKZMmQJPT09YWlrC0dERQ4YMUdln6vr16+jWrRssLS1Rq1YtLFmyBPn5+Urr7du3D3369EGNGjVgbm6O+vXrY/HixQqfRZcuXXDo0CHExsZCEAQIgiD2NSuqj9Xx48fh5+eHKlWqwM7ODm+//TZu3rypsE5QUBAEQcDdu3cREBAAOzs72NraYuzYsXj9+nVRH43o0KFDyM3NxZtvvqmwPCMjA/b29uJjBwcHcXuvXr3Cp59+imXLlsHa2rrIbffo0QOvXr3CkSNHSoyDlY2JvgNgjP0nLCwMY8eOFR+bm5vDwcEBzZo1Q58+fTB27FhUrVq11Ns9e/YsIiMjMXPmTNjZ2WkxYsYYk47w8HAMGjQIZmZmGDFiBDZt2oQLFy7Ax8dHad0ffvgB6enpmDRpEgRBwMqVKzFo0CDcv38fpqam4np5eXnw9/eHr68vVq1ahaNHj+LLL79E/fr1MXny5FLHeOTIEdy/fx9jx46Fi4sLrl+/ji1btuD69ev466+/IAhCqbYXGRmJd955B40bN8ayZcvw7NkzjB07VkxwCpo0aZJ4HZo+fTpiYmKwYcMGXL58GWfOnBH3e968eVi5ciX69esHf39/XL16Ff7+/sjMzFQZw5QpU+Ds7IzPP/9crLG6cOECzp49i+HDh6NWrVp48OABNm3ahC5duuDGjRuwsrICADx+/Bhdu3ZFbm4uPv30U1SpUgVbtmyBpaWl0vuEhYXB2toaH330EaytrXH8+HF8/vnnSEtLQ0hICABgwYIFSE1NRXx8PNasWQMAxSYlR48exVtvvYV69eohKCgIGRkZWL9+PTp06IBLly4pDQAydOhQuLu7Y9myZbh06RK2bt2KatWqYcWKFcV+TmfPnoWjoyPq1KmjsNzHxwerV69Go0aNcP/+fRw+fBjffvstAGDp0qWoWbNmiU0XGzduDEtLS5w5cwYDBw4sdl1WRsQYMxihoaEEgBYtWkQ7duygbdu20dKlS6lnz54kCALVqVOHrl69WurthoSEEACKiYnRftCMMSYBFy9eJAB05MgRIiLKz8+nWrVq0YwZMxTWi4mJIQDk6OhIz58/F5fv27ePANCBAwfEZWPGjBF/swtq2bIltWrVSnwcFRVFACgqKkrle4WGhorLXr9+rRT7zp07CQCdPHlSXCa/XpT0u+7l5UWurq704sULcVlkZCQBoDp16ojLTp06RQAoPDxc4fWHDx9WWP748WMyMTGhAQMGKKwXFBREAGjMmDFKMXbs2JFyc3MV1le1n3/++ScBoP/973/ispkzZxIAOnfunLgsKSmJbG1tlfZf1TYnTZpEVlZWlJmZKS7r06ePwr7Lqfo8vLy8qFq1avTs2TNx2dWrV8nIyIhGjx4tLlu4cCEBoHHjxilsc+DAgeTo6Kj0XoV17NhR4ZyR++eff6hWrVoEgADQO++8Q3l5eXT//n2ytLSkP//8s8RtExE1bNiQ3nrrLbXWZZrjpoCMGaC33noLo0aNwtixYzFv3jz8/vvvOHr0KJKSktC/f39kZGToO0TGGJOU8PBwVK9eHV27dgUg608zbNgw7Nq1S6GpmNywYcMUmmD5+fkBAO7fv6+07gcffKDw2M/PT+V66ihYE5OZmYnk5GS0bdsWAHDp0qVSbSsxMRFXrlzBmDFjYGtrKy7v0aMHGjdurLDuTz/9BFtbW/To0QPJycniv1atWsHa2hpRUVEAgGPHjiE3NxdTpkxReP20adOKjGPChAlK/ZYK7mdOTg6ePXsGDw8P2NnZKeznr7/+irZt26JNmzbiMmdnZ4wcOVLpfQpuMz09HcnJyfDz88Pr169x69atIuMrivz4BQQEwMHBQVzevHlz9OjRA7/++qvSa1SdC8+ePUNaWlqx7/Xs2TOF802uWbNmuHPnDi5cuIA7d+4gIiICRkZG+Pjjj/HOO++gbdu22LNnD1q0aAF3d3csWrQIRKS0HXt7eyQnJ6u760xDnFgxJhHdunVDYGAgYmNj8f333wNQry1+UFAQPvnkEwCAu7u72Ka8YDv277//Hq1atYKlpSUcHBwwfPhwxMXFlev+McaYruTl5WHXrl3o2rUrYmJicPfuXdy9exe+vr548uQJjh07pvSa2rVrKzyWF3oL9zeysLCAs7Oz0rqF11PX8+fPMWPGDFSvXh2WlpZwdnYWR3tLTU0t1bZiY2MBAA0aNFB6ztPTU+HxnTt3kJqaimrVqsHZ2Vnh38uXL5GUlKSwzYIj1wGyvj+qEgMAKkery8jIwOeffw43NzeYm5vDyckJzs7OePHihcJ+xsbGqhU/IOuLNXDgQNja2sLGxgbOzs4YNWoUgNIfO/l7F/Veb7zxBpKTk5UG41D3vFFFVUIEyM6x1q1bi8f8+PHjiIyMxPLlyxEdHY3hw4dj5syZ2LZtGzZu3KhyHi4iKnUzUlZ63MeKMQl57733MH/+fERGRmLChAlqtcUfNGgQbt++jZ07d2LNmjVwcnICALEg8MUXXyAwMBBDhw7F+++/j6dPn2L9+vXo1KkTLl++zH2yGGOSd/z4cSQmJmLXrl3YtWuX0vPh4eHo2bOnwrKiRoYrXPhVZwS5ogq0qmrKhg4dirNnz+KTTz6Bl5cXrK2tkZ+fj169eqkcsEFb8vPzUa1atSJHSiycPJaGqv5Q06ZNQ2hoKGbOnIl27drB1tYWgiBg+PDhGu3nixcv0LlzZ9jY2GDRokWoX78+LCwscOnSJcydO1enx64gdc+bwhwdHdVKvvLy8jBjxgx8+umnqFmzJhYvXoz27duL/bMnTZqE8PBwhf7agCyxU5WgMu3ixIoxCalVqxZsbW1x7949ALIOwR9//LHCOm3btsWIESNw+vRp+Pn5oXnz5vD29sbOnTsxYMAAhY62sbGxWLhwIZYsWaIwVOugQYPQsmVLbNy4sdghXBljTArCw8NRrVo1fP3110rP7dmzB3v37sXmzZtVJgDaIK+1ePHihcJyeY2IXEpKCo4dO4bg4GB8/vnn4vI7d+5o9L7ygRBUvT46Olrhcf369XH06FF06NCh2OMg3+bdu3cVaqKePXtWqlq6iIgIjBkzRmF+pczMTKVjVKdOHbXiP3HiBJ49e4Y9e/agU6dO4nJVk+aqW3Mj39fC7wUAt27dgpOTE6pUqaLWtkrSqFEj/PzzzyWut2nTJqSnp2P27NkAgEePHqFGjRri8zVq1EBCQoLCa3JzcxEXF4f+/ftrJVZWNG4KyJjEWFtbIz09HUDZ2+Lv2bMH+fn5GDp0qEKbehcXFzRo0EBsU88YY1KVkZGBPXv2oG/fvhg8eLDSv6lTpyI9PR379+/XWQx16tSBsbExTp48qbB848aNCo/ltR2FazdUTWarDldXV3h5eWH79u0KTeGOHDmCGzduKKw7dOhQ5OXlYfHixUrbyc3NFROe7t27w8TEBJs2bVJYZ8OGDaWKzdjYWGk/169fr1SL17t3b/z11184f/68uOzp06dKNWuqjl12drbSMQaAKlWqqNU0sODxK5jwXbt2DZGRkejdu3eJ21BXu3btkJKSUmzfvOfPn2PhwoUICQmBhYUFAKB69eoK/cdu3rwJFxcXhdfduHEDmZmZaN++vdbiZapxjRVjEvPy5UtUq1YNgOxHNjg4GLt27RLbv8upc9G4c+cOiKjI5gEFhxRmjDEp2r9/P9LT04u8W9+2bVtxsuBhw4bpJAZbW1sMGTIE69evhyAIqF+/Pg4ePKj0u21jY4NOnTph5cqVyMnJQc2aNREZGamy1kVdy5YtQ58+fdCxY0eMGzcOz58/x/r169GkSROFCWM7d+6MSZMmYdmyZbhy5Qp69uwJU1NT3LlzBz/99BO++uorDB48GNWrV8eMGTPw5Zdfon///ujVqxeuXr2K3377DU5OTmrXBvXt2xc7duyAra0tGjdujD///BNHjx6Fo6Ojwnpz5szBjh070KtXL8yYMUMcbr1OnTr4559/xPXat28Pe3t7jBkzBtOnT4cgCNixY4fKJnitWrXCjz/+iI8++gg+Pj6wtrZGv379VMYZEhKCt956C+3atcP48ePF4dZtbW0RFBSk1r6qo0+fPjAxMcHRo0cxceJElesEBgaiWbNmGDJkiLjsnXfewaJFizB58mTUqVMH33zzDVavXq3wuiNHjsDKygo9evTQWrxMNU6sGJOQ+Ph4pKamih1Yy9oWPz8/H4Ig4LffflPZLry4uT0YY0wKwsPDYWFhUWSh0sjICH369EF4eHiZJuEtyfr165GTk4PNmzfD3NwcQ4cORUhICJo2baqw3g8//IBp06bh66+/BhGhZ8+e+O233xSae5VGr1698NNPP+Gzzz7DvHnzUL9+fYSGhmLfvn1KExZv3rwZrVq1wjfffIP58+fDxMQEdevWxahRo9ChQwdxvRUrVsDKygrffvstjh49inbt2iEyMhIdO3YUa1JK8tVXX8HY2Bjh4eHIzMxEhw4dcPToUfj7+yus5+rqiqioKEybNg3Lly+Ho6MjPvjgA9SoFcHCfQAAAw1JREFUUQPjx48X13N0dMTBgwfx8ccf47PPPoO9vT1GjRqF7t27K21zypQpuHLlCkJDQ7FmzRrUqVOnyMTqzTffxOHDh7Fw4UJ8/vnnMDU1RefOnbFixQqVg3Joqnr16ujduzd2796tMrH6999/sXXrVpw7d05hebNmzRAaGoqgoCCkp6djypQpSq//6aefMGjQII3mwWSlpKdh3hljKsjn/Lhw4YLK55cuXUoAaOvWrfT8+XMCQMHBwQrr3L59mwDQwoULxWWrVq1SOd/JypUrCQBFR0dre1cYY4xVIikpKQSAlixZou9QJOvkyZNkZGREt2/f1to2L1++TIIg0OXLl7W2TVY07mPFmEQcP34cixcvhru7O0aOHFmqtvjyzrWFOwUPGjQIxsbGCA4OVtoOEen07i1jjDFpUjWXovza06VLl/INpgLx8/NDz549sXLlSq1tc/ny5Rg8eDC8vLy0tk1WNG4KyJgB+u2333Dr1i3k5ubiyZMnOH78OI4cOYI6depg//79sLCwgIWFhdpt8Vu1agUAWLBgAYYPHw5TU1P069cP9evXx5IlSzBv3jw8ePAAAwYMQNWqVRETE4O9e/di4sSJ4shDjDHGGAD8+OOPCAsLQ+/evWFtbY3Tp09j586d6Nmzp0KTQVZ6v/32m1a3p2p6AaY7nFgxZoDkw+yamZnBwcEBzZo1w9q1azF27FiFNtLqtsX38fHB4sWLsXnzZhw+fBj5+fmIiYlBlSpV8Omnn6Jhw4ZYs2YNgoODAQBubm7o2bMnD83KGGNMSfPmzWFiYoKVK1ciLS1NHNBiyZIl+g6NMb0SqHD7H8YYY4wxxhhjpcJ9rBhjjDHGGGOsjDixYowxxhhjjLEy4sSKMcYYY4wxxsqIEyvGGGOMMcYYKyNOrBhjjDHGGGOsjDixYowxxhhjjLEy4sSKMcYYY4wxxsqIEyvGGGOMMcYYKyNOrBhjjDHGGGOsjDixYowxxhhjjLEy4sSKMcYYY4wxxsqIEyvGGGOMMcYYKyNOrBhjjDHGGGOsjP4PdsI8XoAhV4oAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -428,7 +428,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -458,13 +458,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -486,13 +486,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -514,13 +514,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -692,15 +692,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[13:58:56] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0fdc6d574b9c0d168-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:888: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n"
+      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\n"
      ]
     }
    ],
@@ -61398,11 +61391,6 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -61414,11 +61402,6 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -61617,10 +61600,9 @@
           "histogram": [
            {
             "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
              }
             },
             "type": "histogram"
@@ -61756,10 +61738,11 @@
           ],
           "scatter": [
            {
-            "fillpattern": {
-             "fillmode": "overlay",
-             "size": 10,
-             "solidity": 0.2
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
             },
             "type": "scatter"
            }
@@ -61937,7 +61920,6 @@
            "arrowhead": 0,
            "arrowwidth": 1
           },
-          "autotypenumbers": "strict",
           "coloraxis": {
            "colorbar": {
             "outlinewidth": 0,
@@ -62243,7 +62225,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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OoKOjA03TaG1tHXBtRTqDCyAxKe5e/P/QQw9RUVHB008/zX333cd9992H2Wxmzpw5/PnPf07UQPl8PgAKCwvT7jsuUuLbdafnZ9asWZNyTsOGDUsRU/GakN721/1Yf/nLX7juuuvIycnhhBNOYOjQoTidTgRB4I033mDt2rVJhg3XX389+fn5PPHEEzzyyCM89NBDCILAzJkz+dOf/sQhhxwC6IIA4MMPP+TDDz9MOx6AQCCQNKbdjb2/+Hy+RE+y/uwrPt5t27b1+dzEx7u7MZtMJvLy8nrdT2/n4/V6mTp1KlVVVUybNo2LL76Y3NxczGYzXq+XRx55JOl+7Ml1kySJWbNmsWLFCsaPH8+PfvQjCgoKEtfqrrvu6tOko7/059mvqanB5/MliamBfA/7Q1/3++WXX+7zs/H7bTKZWLRoEb///e955ZVX+O1vfwtAZmYml156Kffeey8ul2tA49pb5s6dyzvvvMODDz7IP//5T5588kkApkyZwvz58znuuOO+1fEYGBjsewwxZWBg8I1hMpk477zzWL9+PXfffTeLFi3ijDPOSEzEDj74YL766qtv9PjXXXcd1113HS0tLXzyySf8v//3/3j55ZfZuHEjGzZswGq1JsbT1NSUdj+NjY1A+glkd7c00B3Tujt59UZzc3Pa5fExxI8lyzJ33HEHhYWFfPXVVynW1vG39z25+OKLufjii/F6vXz22We8/vrrPP3005x44ols2rSJgoKCxDEeeeQRrr322t2OOb797sbeX7KysvB4PGlNINLtK378s846i9dee61fx8jMzAT0Mfc0EFEUhfb29l77LvW8t3H+8Y9/UFVVxR133JESMfn888955JFH0o57INftzTffZMWKFVxyySU8++yzSesaGxsH/BKiN7o/++kiTX09+/uSdNc6fsw333yz3z3qcnJyeOihh3jooYfYvn07S5cu5W9/+xt/+ctf8Hq9/Otf/wJIRIV7Rnjj+Hy+fXbOc+bMYc6cOQSDQb744gveeecd/vrXvzJnzhxWr17NmDFj9slxDAwM9g+GNbqBgcE3TjztLp6i5Ha7GTduHF9//TUej+dbGcOgQYOYO3cuL730ErNmzWLbtm1s2LAB0EUd6BbGPZFlmU8++QQgEdHZF3zyySdpbbzjY4iPqa2tDa/Xy5FHHpkipAKBwG7FaHZ2NqeccgpPPfUUl156Ke3t7SxbtgzQ09yAxM+7IyMjgxEjRlBfX09lZWWvY+8vhxxyCKqqJq7v7vY1evRosrOzWb58OZIk9esY8euY7hjLly/vdTLdF9u3bwd0B7qepEvX6z6GdBGbdOc60GMAiRTCgUSF+nr2t2/fTl1dHeXl5UlRqW+LgT6fPRkxYgSXX345S5cuxe128/rrryfW5eTkAFBbW5vyue3bt+P1evt9HJPJ1K9r7nK5mDVrFn/+85+55ZZbiEajvP/++/0+joGBwYGJIaYMDAz2mgULFvDhhx+mFQdNTU089dRTAEyfPj2x/PrrrycWi3HZZZelnbh0dHTsVdQqGo2yaNGilJ43kiQlBJzdbgfgzDPPJDc3lwULFrB8+fKk7R9++GF27NjB8ccfz9ChQ/d4PD3Ztm0bTzzxRNKyN998k6VLlzJixIiENfqgQYNwOp2sWrUqKX1NkiSuu+462traUva9cOHCtCKhpaUF2HXeU6ZM4ZhjjuG1117j6aefTjvO9evXJz4HMG/ePFRV5cYbb0y631VVVfzlL3/p7+kn9gVw6623JvUz8ng83H333Snbm81mrrnmGhobG7n22mtTei2BHknZuHFj4ueLL74YgHvuuScpdTIWi3HLLbcMaLxx4rbjixcvTlq+evVq7rvvvpTtS0pKOOGEE6iqquKxxx5LWhe/5/09xo4dO7jxxhvTjiuesphOIPTGZZddBsDdd9+dqJEDXZD9+te/RlVVLr/88n7vb19yxhlnUFFRweOPP857772XdpvPP/+cUCgE6M9gur5rHR0dRKPRxHMPujDPzMzkzTffTHq+w+Fwv6K03cnLy6O1tTVtT65FixalfU7jUcruYzIwMPhuYqT5GRgY7DVffPEFjzzySKIxbHl5OaBPbt59913C4TBnnHEG55xzTuIzl112GV9++SVPPPEEFRUVzJ49m6FDh+LxeKiqquLjjz9m3rx5iRqDgRIOhzn++OMpKyvjsMMOY9iwYUQiET788EM2bdrEqaeeytixYwE9Uvb0009z7rnncuyxx3LuuecydOhQvvzySz744AMKCwv529/+tvcXqhsnnXQSN9xwA++//z6TJk1K9Jmy2+3885//TKQhiaLItddey/z585kwYQJnnHEGsViMxYsX4/F4mDlzZsqE+/zzz8dut3P00UdTVlaGpmksW7aMlStXcsghhyQ1UP7Pf/7DrFmzuPzyy/nLX/7CYYcdRnZ2NnV1daxbt44NGzbw+eefM2jQIABuuOEG3njjDV599VUOOeQQZs+ejc/n48UXX2T69Om89dZb/b4GF1xwAS+++CJvvfUW48eP54wzzkCSJF555RWmTp2aNvr1u9/9jrVr1/Lkk0/y9ttvM2vWLIYMGUJLSwvbtm3j008/5Z577knc22OPPZaf/vSn/P3vf2fcuHGcffbZWCwW3n77bbKysiguLk5rBNIXF198MX/605/41a9+xZIlSzjooIPYtm0b77zzDnPnzuXFF19M+czjjz/OEUccwS9/+Us++OCDxD1//fXXOe2003j77beTtj/ttNMYMWIEDz30EBs2bODggw+mpqaGd955hzlz5lBTU5NyjJkzZyKKIjfffDPr169PRF9uu+22Xs/lyCOP5Le//S1//OMfGT9+POeccw4ul4v333+fDRs2cPTRR/Ob3/xmQNdnX2GxWHjttdeYPXs2c+bM4cgjj2Ty5Mk4nU5qa2tZuXIlO3bsoLGxEafTydq1aznrrLM49NBDGT9+PMXFxbS2tvLmm28iSVKSCLVYLFx//fXceeedHHzwwZx11lnIssyHH35IcXExxcXF/R5nvO/aySefzDHHHIPVamXSpEmcdtpp3HDDDVRXVzNjxgzKysqwWq18+eWXfPTRRwwdOjSp152BgcF3lP3qJWhgYPC9oKamRnvssce0M888Uxs5cqSWkZGhWSwWrbCwUDv55JO1559/Pq0NuKZp2ttvv63NmTNHKygo0CwWizZ48GBt6tSp2q233qpt2rQpaVvS9B2K09P2ORaLaffff7920kknaaWlpZrNZtPy8/O1ww47TPvrX/+qRaPRlH2sWLFCO/PMM7X8/HzNYrFopaWl2pVXXqnV19fv9nj9pbsl82effaYdd9xxWkZGhuZ2u7UTTjhBW7FiRcpnJEnSHnzwQW3MmDGa3W7XBg8erF100UVadXV12nH89a9/1c4880ytvLxcczgcWk5OjjZ58mTt/vvvT2sr7/f7tXvuuUc75JBDNJfLpdntdq2srEw75ZRTtL/97W8pfbp8Pp/2q1/9SisuLtZsNps2atQo7YEHHtAqKysHZI2uaXq/p7vuuksrLy/XrFarNmzYMO2WW27RIpFIr/dbVVXtueee02bNmqXl5ORoFotFKy4u1o466ijtnnvu0WpqapK2VxRF+/Of/6yNGjVKs1qtWlFRkXbVVVdpXq9Xc7vd2uTJk5O2780Cuztff/21dtppp2kFBQWa0+nUDjnkEO2pp57Sqqqqer0G27Zt084++2wtKytLczqd2uGHH6698847vR6vpqZG+/GPf6wVFxdrdrtdGzt2rHb//fdrkiT1em2ef/75RH8wuloUxOnrmV2wYIF21FFHaW63W7PZbNrYsWO1u+++O6UHnKb1bQW+O3v2nsSt0fuiublZu/HGG7Vx48ZpDodDc7lc2ogRI7Szzz5be/755zVJkjRN0y3ob775Zu3II4/UBg8erFmtVm3IkCHaSSedpL333nsp+1VVVbv//vu14cOHJ77vv/nNb7RgMDgga/RAIKBdeeWV2pAhQzSTyZR0/1988UXt/PPP10aMGKG5XC4tIyNDGzdunHbLLbdoLS0t/bpGBgYGBzaCpvXIgTEwMDAwMPgBsG3bNkaOHMn555/PggUL9vdwDAwMDAy+gxg1UwYGBgYG32uamppS6vlCoVDCrj6dyYOBgYGBgUF/MGqmDAwMDAy+1zz88MMsWLCAGTNmUFRURFNTE4sWLaKuro45c+YYYsrAwMDAYI8xxJSBgYGBwfeaE044gQ0bNrBo0SLa2towmUyMGjUq0YOst35SBgYGBgYGu8OomTIwMDAwMDAwMDAwMNgDjJopAwMDAwMDAwMDAwODPcAQUwYGBgYGBgYGBgYGBnuAIaYMDAwMDAwMDAwMDAz2AENMGRgYGBgYGBgYGBgY7AGGmDIwMDAwMDAwMDAwMNgDDDFlYGBgYGBgYGBgYGCwBxhiysDAwMDAwMDAwMDAYA8wxJSBgYGBgYGBgYGBgcEeYN7fAzhQUFWVhoYGMjIyEARhfw/HwMDA4AeDpml0dnZSXFyMKBrv+Lpj/G0yMDAw2D/092+TIaa6aGhooLS0dH8Pw8DAwOAHS21tLSUlJft7GAcUxt8mAwMDg/3L7v42GWKqi4yMDEC/YJmZmft5NN8vlm1r5aVVtYwalMGWlk5+NHUoR4/I39/D6pUdbQEeW7SNJn+UwkwbvzjuIIbnu/doX/v73He0BfjXp9V4QjFynVYuOapsj8/lm+DlVTX87eMd2M0iEVnlymMrOOfQUpZta+WviyvZ0dZJRFLJspu5e+5EhuQ4DujzMdgz/H4/paWlid/DBrsw/jYZ9EVbWxsVFRVJyyorK8nPP3D/xhoYfFfo798mQ0x1EU+fyMzM3Ks/WJWtAWo9IUpznVQU9H+SF/9cnP5+fk+P920yeqhIUXWQqs4YRfm5jCodRGbmgTnWytYAb2zoYF2LhNtmYWO7zOZ2mcnD9+yZ+CbOfSD3fHJmJl7JzPp6HxOGZDF5+KC9Ova+xunOBIuDKAJYNJzuDDIzMxk9VCQm1hLGjskGnRp8tL2T0yZnENCsTCrPY1NTJz7ZYkwwv0cYaWyp7Ku/TQbfT6LRaMqyjIwM41kxMNiH7O5vkyGm9iGVrQGe+ngH7cEYeS4rV0wfvtvJbmVrgBVV7Szc0ERrZxR/RGZorpOhuc7dfj5+vBpPCItJYN5R5cwYdWBNlgEqCtxcMX04dR1hSnIcB6zoi1/PtXVeAlEZi0lgb6d2+/rcK1sD/P7trxP7u/20cbt9RhZuaKI9GKO+I3zAie6iLDtWs4nOiESG3UJhph3Qr9uRI/Kpagsiq/q26+u9nDa5mDyXlU1NneS5rJTkOPbj6A0MDAwMDAx+6Bhiah9S6wnRHowxpjCDTU2d1HWE+yWG1tZ52dkewmERCUYVRg520x6M7fbztZ4QNZ4QvlCMls4Yz3xadcBMlpdsaWFdnY+JJVkJgadpWsp2B0JkbcmWFpZsacUXlmj2RziowE2tJ0RMVhlTnMnUsty92n9FgXufndu76xpZWd2Bpmo0+iK8sHwnx44sSLl+8eva6IsM6JncHwzNdVLgttIaiCW9/fm/I8r4bHsb21uCmEWBtmCM9fU+irPtOKwmRg52J6K5B9o5GRgYGBgYGPwwMMTUPqQ014nFJPDJ9jYKs+y7fWseF0OqqhGVlEQUpMkXYWJJ9m4/X5rrRJJVdnpCZNjMdEbkA2KyvGRLCze9ug5/RCbTbua64w9iba0vJWK3J5G8b2Kst72+gebOCAAumwlZ0QjHFDTY68jUvqaqLYikqIkao0+3tVHXEe71ulpEAYtJOGAjOaVdUdj2YIyhuc6k8enRqQKq2oIoqoY3KPH/VtQgKSoxWcVuMTG8wN2vKK6BgYHB95GsrCwWL16csszAwODbwxBT+5hARMYXlnDb+ndpa9pDNPnDKBqEYgpuu4mTJxRxyoSifk0ONUFDklXapCiSqtHgDe32M980b65poNkfRQDCMYV31jbitJkZU5jBqp0dvLe+kVMmFCXEZL7bSo0ntF+E4Lo6H96QBICiagQjMrIKGhCMKuxoDfY5rm8zslbZGqA9EEUUICKpuOxm3HZzStRpRZWHrc2dWEwCW5s7Kcyyc8qE4n4/U98mu0uDzHVZAVC6fm7wRrBbRP1exRTGFov9iuLuS/p7zw+EqKuBgcH3G6vVyowZM/b3MAwMftAYYmofsqKqne2tAexmke2tAVZWe3Y7icpwmGkNiMiqioYuPjzBWL8mX7WeEIoK2U4LvrBMRFJYuKGJaeV5+3Xy1hmR0NAFCUAoKlOa62TVzg5q2kN0hGJsavAzuiiDHa0BNjeqZDutadMAv2kmlmRht4gEYjIioGq7xg3QHoj2Oq5vO7JW6wlhs5iYPbaQrxv9TB9ZQDimJEWdKlsDLNvayuZGPyFJLzbqCAWoba8k3209ICf18TTIytYAS7a0JMRHZWsATzCK2SQiqfq5aEBUVhG7/n97S4AjK/K/tYhbf+95ZWuABz/YQpMvQmGWnRtOHHVAXnsDAwMDAwODvcMQU/sU3bBA00BWVLY0dVLZGuh1ElWa60RWVKLxCntAVuHTbW19fq7754sy7exsDwIwONOGpGj7PdVvYkk2Sza3IHdpkI6wxKTSLGKyytpaL/5IjEZvmO0tAWKyittmIttp2S9OXjNGDeLUSUX854udyMquCEgcu8XU67jiNXIOs8jKag9DchxcM+ugfTa2npGN0lwneS4r7cEYU8tyuejwYQBJUZ0lW1qoagsSltSkfQViCs98Ur3fhXZv9BQpJ40vZOGGJrY0dSL2vPwayOgpmJ0RmUmlWXt8TgONHvW3LnJFlYe1tV6sJpFmf6RfL1YOFOKmOCAwrTz3OzNuAwMDAwOD/YHRan4fMq08l0ml2TisJqxmE1uaOnnq4x1UtgbSbh83COiOAJhMAnUd4d0er6LAzQ2zRzHvqHJGDHZjNZvIdlj2e13MxJIsMhwWQH/A2gJR/v3FTj7Z1kowpuCPKPjCMp1RiaIsO51RBUlR9yoyFY9q9Hat+/rcquoOYgqoadaLotDruEpznTT6Qry3oZEaT4gXV9ayZEvLHow+/bie+ngH//6iJvEMxVPiLjp8GCeNL0yYLxw7siBpwtvkj5BuxB2hKC8s3znga/RtoBtreHBY9LS99fU+ajwhOiMSigoWEZwWEZdVRBDAJIDDIqBqGu2BGDDwZyDdNd4dcUG7+xo0DUnRCEsKkvLtR1z3lMrWAA/+dwuPfrSdxz7axoMfbDkgn5d9yZIlSxAEIe2/5cuXJ2371Vdfcfzxx+N2u8nOzmbu3Lns2LEj7X4fffRRRo8ejc1mo7y8nLvuugtJkr6NUzIwMDAw+BYxIlP7kIoCNzecOIoXlu9k+Y52KgpcNPmjvb69XrKllUgsORbisJoYlGHrtyCqKHBzyoQi/ruhiYaOMKGoQq0ntN/fJhdm2glGZWKKRkxWqGoNEontkisaYDObULvmmbKqsXBD0x7Vlwwk9apnFKLWE6ItmNqnQ0Q3oxiUYeszMlXTHkZWwSxqdEYkNtT79ok9fW/1ZBVdToPPfFqFPyxjNsExBw1izsRd9VCFmXb8YYmec3hPUOKtNQ00+yMHVNrZki0tvLSylubOCDWeEOV5TmaNLsAflqjuirqqKmioCJB4ZiKyRqbDxPghWSzZ0sIzn1YhKVq/DSn2pGavv1b3RVkOBMAflsmwmxOW7wd6HVWtJ0SjP4LdLBKV9ej6dymqtjfce++9zJw5M2nZ+PHjE/+/efNmZsyYweTJk3nppZeIRCLcfvvtHHPMMaxZs4aCgoLEtvfccw+/+93vuOmmmzjxxBNZuXIlt912G/X19fz973//1s7J4LtD2U3vfmP7rp4/5xvbt4GBgSGmvhGafRF8YYmPNrcwqbQvVz4tKYLgspooyLBx6LCcAU1env+8mo0NflTAF5G5992N+3WyVprrxGQSUFQNAT11UVHVpMiPABw0yE2TP4LQ9fOemlB0nxSvrfXy+OLtnD6pmNJcZ2LiCqQVXKW5TjJsZppIFlQWs4DTaqYs39Xr/VtX5wPAZhKIKRqiIDB+yL5zUWryRdjWHMBmFllb602M45lPq1hd40VSVGRFY0driM1Nfm44cRSluU5c9l0itTuqBqGYTHVb36Ya3xS9CYklW1rxhmOYBF0g1XjC/PuLndR2hOmWAYsIZDoshCWV0mw7IVnlvCmllOY6+f3bX7OxoZOCDN2wor/nF7/GGXbzgCKju9t2XZ2PqKzgtJmQVJWlW1sBEj2/9pd7ZU96Ngtv9IUxi+ANSwQiEhaTiVe+rGVq2fc/3e+ggw7i8MMP73X97bffjs1m45133kk0RD300EM56KCDeOCBB7j//vsBaG9v5+677+aKK67g3nvvBWDGjBlIksRtt93GL3/5S8aOHfvNn5DBDwJNU1HDnUnLREcGgmAkHhkYfFsYYmofUtka4N11jXjDEseNGsSGLpOA3iYhowozyXZaiMkqMVlBEMAflnhjdQMTS7L7FeGobA2wfEd7klBp8B0ANRoaCAKYu5SSqiYbO2Q5zGQ4LNR7w+S6rLR2xigYQESuJ02+CBvqfYRiMg2+MCt2eKgY5MJqNpHnslKc7WBrcyfjijOTooUVBW5OmzSExxZtJR44E9Fd5EqynZw3pbTX6zixJIt8t41mfwSLGc6YXLxPmyYXZtkpyxNZW+fl5VW1LNvWyrjiTOo6wkQkhVhX6ElR1YRAKslx0NARTpvmp6FHAF02c5/X+ZuInvQWPaxsDbCjNUBYUlC6rn9EVtlY35myD1nVo2uiACFJZXCmjfZAjHfXNSIpGlkOM/UdEVw2U7+fo/g1bvRHaPJHdrt990bZrZ0RzKLIkBwHFx0+LHHv4yYgwZgCmoyq6SJqQ70Pi0lkyrCcA6LnV/dzafJFyHJY8IUlshwWHGYRv6Y7XH5d7+e99Y37tB7wu4Ysy7zzzjtcfPHFCSEFMGzYMGbOnMnrr7+eEFMLFy4kEokwb968pH3MmzePW2+9lTfeeMMQUwb7DDXcSd2jFyYtK7nm35ichj26gcG3hfHqYh8Rd+9a2FU/U9kWZNTgjD4bvk4rz2XckCysZhFRFIlIKnluK50RmQ31vt0eU+/ntJbqtmDS8rCk8P76xv1W66C7DGqYRAFJ1SMiPU0ERFFgfZ2XZn+EtkCUHKeFk8YX7vHksjDLTp7biqqBzSTiDceo7wgzpjCDGk+IZdtaaPJH+GhzC1FZocEbZsmWFv6yaCvr6rxYzKbEvjRgTGEG2S5rn6YYM0YN4syDiynIsFGa6yQiqfvsmsf7LzX6IwRjCq2dEVbv7ODlVbXUeUIJIQXgC8t4gjEavCGe/7yajmD6ugybWWB0YQZXzxzRp9X7QOuI+kN344a4lXn85UMgKpNhTX6vowIOa+qvJ7OoRzF9YYn19T5eX13HSytrkRQFf0TGbNIjiv2hNNdJtsPC5uZO/GGJj7e27vZ8az0htjR1sqHey7aWIJuaOvnfphZ+9eKaRL1crSdEICojCiCpoGjQ2hlhW3MnkqIeMD2/4vckv+t3js0s0BGKoapqlxOkgM0soGnQEYzt17F+G1x99dWYzWYyMzOZPXs2n3zySWJdZWUl4XCYiRMnpnxu4sSJbN++nUhEF+MbNmwAYMKECUnbFRUVkZ+fn1jfG9FoFL/fn/TPwMDAwODAxYhM7SPi7l2gR5eEPOduxUFFgZuTxxfR1hmlIxijuTNKdXuIwZn23aaLVbYGeObTKrY2BRNv9OM4Lab93sC3tTNCVI5HTlJd8nxhCW9IwmU1EZFVOqMy729oYk8cxOKT4nV1XlQNWgIxzAJIqso76xtRVA1V1SjNcdAaiBGOKby9toGNDT46IzJaDzt0DdjUFODg0mwavOFenRUrWwN8ubODYFTBaTX1mqbYM9LTn8hPRYGbk8YX0h6MUtMWJKJoXWl6KuYeGkMD2jqj/G3pDhxWE7KaaqVhMUG+28aIQW4afZFez+mb6v0VN25YtbMDSVFYvLmFls4Ijd4Imxt9hOXUWJqsamQ7zFjNIv6whKxqibS/mKISkzWsJpVQTCbHmYGikhJ57IuKAjfHjCygyR8Z0Oeq2oP4I8lPtK9LjMWjUx2hGLFu5ySruvOgrKgEoxJum4kVVZ7EOPYH8XtS4wkhCrrNfCgms6mpEw09RVdSIT/DxvSRBQd8vdeekpWVxXXXXceMGTPIy8tj+/bt/OlPf2LGjBm8++67zJ49m/b2dgByc1NfjuXm5qJpGh0dHRQVFdHe3o7NZsPlcqXdNr6v3rjvvvu466679s3JGRgYGBh84xhiap+hISkq/rBEVNZYV+flpVW1u514TCvPZeGGRlo7YwzJdoAA500p3W26WK0nlEht8kV2RSJEwGo2UZhl329vvht9Ecw9Z/xdmAT9Tb0oCEiqRiimoGrgD8VYsaOdts4oa2u9A6onqShwM7ook8VbmhPLZA1afBFkVUNV9UhHkz+Cy2YmFJXRNA1vWO51nzkOMwjw0eaWXscTvweDMqy09JKm2Jvld3/MMhZuaCIYVfQ0SfTonqpBGt2BrMFOT4hpZdlkOCx0hiUkVb/eAE6LmUZfhLfWNPC/Tc0cMjSH208bl/bYNZ4QGxp8ZNot+6z3V0WBm0mlWXy100N7MMaOVj2aqhsdaIgCKaJ2cIadc6aUUpBhZeGGJjY3dtLcqde2RSTdjCIYVcl06iYUX+7sYEO9n0yHXv/Usx4o3XdxWnkua2u9NPmj/YoWNfrCyD3fXqBHy7xhKRHZctnMiESTXiIoGqyt9en3Evh4axuHDc/dr2Ygk0qzcFhNbGz00xmRUFUwmwFNwCTCoAwbPzt2OKW5zm+1p9q3ycEHH8zBBx+c+PmYY47hrLPOYsKECfz2t79l9uzZiXV9Raq7r+vvdum4+eabuf766xM/+/1+SktL+/yMgYGBgcH+Y8Bi6pprruEXv/gFo0aN+ibG851lWnkegzLstAdjCAIoitavQv+KAjfzjipPciI7ZULRbo8XTwNr9kVwWAQy7BY0VePgYTnMGjN4vxWMx+tFwrGesahdiICsaAlnNg2IKRqKppFpNyfSwAYy/oIMG/qUdtd0PJ4JF5/6KopGICLhTeeB3vVpQQCLKDAk10mTL0JJjoMtzekdzeL3oAZw2kwcOiz1rfWKKk9Srdb6el+/+hTFI0SKqhKT1UT/Mg1IWxDVtbzGE2F8cRZNvjCNvgiqqiFrGr7ILuHYGVFYW+tNe06NvgiSrOIwi0iy2q86ov5Q2RrgtS/rqfPqlv92i4mOoLTrVHqckwAIop7KWphl56TxhdR1hGjp1J8fpesjoqDXjL29toGwpBKJKQzNc/LSyloQwBuSEo1ze3P5m1SaRVsgRr7b1o8zETClNL4Cq1mkui3IUx/vYFJpFsGonBKNhV3PogrEZIUmX2SfRpD7Gz3qXi+1vdmPN7TrhYwkA2iYzAK5LivF2c6U53h/13t902RnZ3Pqqafy5JNPEg6HycvLA0gbVfJ4PAiCQHZ2NgB5eXlEIhFCoRBOpzNl20MPPbTPY9tsNmy2/jyLBgYGBgYHAgMWU8899xxPPPEEs2bN4he/+AWnn376fmm2eqBRUeDmxHH6hC+maCj9KPSPM2PUIEpznbu1W+55vJPGF/LlTg+SouEJSuS7rfz4sGH71ARhoNR6QkiqRlGmHV84tf5E0ZIljwgggNUkEFOhNRCjLN894KhaUZYdp9WU1Kw21iXY4sfS0I0weiPDbiLbaWVwpg1vKMa25k698apZ5NUv61IEatwm+731jXy8tZXlO9pp8IaTzBWWbW2lriPMzvYQwwucaBpYTEK/6maafBGafBEUDbIdZjpCvUfSAMwmgSOG51KWrzfvnZrj5KuaDqKR1M8p6ez+uq6SySRgN+vpl/uKFVXtVLYFUFSNmKwhyWqKJjQJ+jlYTF1CzhtBVjTqOkK0dkbxhXTx1V2k5LkseIISO1qDWMwiqqqR7bTQ2OUSWZLjYFtzgAlDrCkifcGKnfx7eQ2qpukW5g4zy7a2csPs3iNF08pzsZlSo65RWaXFH0HTYEiOA6fVjEC0V90Lehpjhr1/vyN2R7zR7rJtbUiKttvo0bvrGvnfpiYkWSMYS/9cRWXd7n9trZePt7Wwsz3IzvYgwwvc+yxieSATP0dBEKioqMDhcLB+/fqU7davX8+IESOw23X7+3it1Pr16znssMMS2zU1NdHW1pZkt25gYGBg8N1nwAYUDQ0NPProozQ2NnLWWWdRVlbG/PnzaWtr+ybG951izsQijqzIZ1iek4lDsph7yBBqPaF+FfFXFLhTmq/ujkZfmJbOKGqX61YwJg84krCnzW57I16HEVO1tA9XcuwI8t0WzALImoZVFAlLCnbLnvmiOKxm0sl6swgmdqW89YbLZub4MYMpyXGxrTlIMKqgaBCWVNbUeHlh+c60n/t4aytbmztp9ocTdUagC0tvWCLTbiYcU9jU0Mmba+oJRGWOGzNot6lSeqqmXTcACMl9TswB8l02IpLKqp0emvwR1tZ5UVQNrcd5C8CwfFdac5Rp5XlMLskmy2llckl2nwYqA6G1M0ZEUlG7RJxJTL3HepRJrw3LdVl14aRqyKpGky9CNI24awnoAstqFlEUFVWDne0hijLtFGbZqfWEMYmwrSVATFYSE+QlW1p48IOtbGz0s6Wpk0ZfmNbOKGvq9Ihdb9R6QmnHoWpQ543wdYOP9kAUc5roVXcsIgzJduDqp1lGX8SjTC+tqmNtrZfCTFtCOKZjyZYW/vVZFW0BCV9EpjfNrKFHKt9YU8+GOh8xRcMf0c1OFm5o+l438+3o6OCdd95h8uTJ2O12zGYzp512Gq+99hqdnbucJmtqali8eDFz585NLDvppJOw2+08++yzSft89tlnEQSBM88881s6CwMDAwODb4MBz1pdLhdXXXUVGzZs4H//+x+HHnoov/vd7ygtLeXSSy9l1apV38Q4vxNUFLi5YfYoLjmyjGNGFrBsWxt//3gHv3/764TT175F0CMtXTbkpgFGCL8J57Z4tOan04dTMciFRdQfMgH9vz1f6vujCmaTgKppxBSFRm+EF1fW8vu3v06Mpz+Cb12dl/o0luC6Hbgezeg1GNOFzWRie2uAzyvb8IWlJLt5WdX4dFtbyhhWVHnY2R5EUTXqOyJIipqINJTmOrGYBNqDMWRFIRBTqG4L8nW9n9bOaJ9CO26q0RaMYRZ1J76+EIFBmTaq2oMEIjLHjRrEoEw7GQ5LSjTOYTFx4tjBACnXNf4M/2hqKceMLGBfUZBhxW0z47ZbMIuQ6UgVvrKqpzIKgNkkkuOykuOyMr44C1EUCMYUTN22d1kErGaBPLdVT70TBNw2M7kuK+dNLeW8KaVkOszkOK14gjE6I3JCBCzZ0oI3GNNfRHT984ZiRKVdca+ez11la4DHP9pOINp7hFBSNT7b3obVIvQp3vPddk6ZUISkar2Knv4Sd+UbX5SJBnzd4CfPZUXTtLTfm3V1PgKR3tNwuxOKKvhCMaKyRjAiIykaqqYlvTT4rvPjH/+Ym266iVdeeYUlS5bw1FNPccQRR9Dc3Myf/vSnxHZ33XUXoVCIU089lffff5/XX3+dOXPmkJ+fzw033JDYLjc3l9tuu42//e1v3HrrrSxdupQHHniAO++8k5/85CeGLbqBgYHB94y9ei06a9YsZs2aRV1dHZdccgnPP/88zz//PFOmTOG2227jtNNO21fj/E7x8dZWtjR14g3FcNnMeMMSocXb09Yx7J1DlobJpAspURA4aLCbwkw7S7a09Gt/3e2q92Xfm3j/phZ/hEc/2pYQJRl2sx5p6FZPZREFPe2r29wuLKl8VdORiBD0p/C9qi2UsqwnfWkph0XkoEI3K6s8hGLpo0Amk5DmGmmYTSI2s0ZMkbF0U4vxVMxNjf5ED6v4pP2Dr5tYV+fr9Zziphpf1XSQ7dStq/s6Aw2obg+SYbMwKMNGU2eU8jwXrYEIvmCMYLf0RxWNl1bW8eXOjkQfrp5jWFPjpT0YG7AZSG9MK89jyrA21tX76AxLtHbG0NCjhmZR6IpA0dXkWUVWNUpzHUwYkk2O00KjL4zQZcBhNcVr7QQybSYGZdjxhyU6QjFGF7oRRRFBENA0jc6IjKpphCWF0hxHt4iNkCKuZRUkRaMw0562L1atJ0R7SK+JjN8KE8lph5qmp6oWZdkpzXFS5Ul9Ls0C2Cwiq3Z2MDTXuddpfvFocFNnlMkl2UwfVUBhpp2XVtUm6sW6m1xMLMnCLApE+6GnVKC9y2o/frmq20L4wxIN3lDiJVGjT7+mA3XiPBCYOHEiL774Ik8++SSBQIDc3FyOPvponn/+eaZOnZrYbvTo0SxZsoQbb7yRc845B7PZzKxZs3jggQcoKEh+8XDrrbeSkZHB448/zgMPPEBhYSE33XQTt95667d9egYGBgYG3zB7JabC4TD//ve/efzxx1m7di1jx47lvPPO46233uLMM8/kzjvv5He/+92+Gut3gp4W6R1BCZMImxv9vLB8JxcdPiwx2eitkWl/iLu9CQgMyrRhFkRKc1y8tKq2XzUToE+AGr1h2gNRRg7O2Ofuf56ghNbVY0rT9OiKqukRhjhhSUmbmheKKWxp6qQw094vwTetPIeF6xvSWmz3RBTAZhaRFRWn1YSiwZiiTDSN3h3+BHCnqYErynLgsppo8UdQVFhV7eGmV9cx/2y9H83aWl9KxDCeztbXOVW2BlhV7cEXlpC70tfic3gRfTKe67TQ5I9iEkFRBXKdVuxWE1PKcplYotu6f7S5hbmHlPDehka8IQlFA0lWaQtGsXeInDKhKGUM34Q9um5Dns/GRj+CqFs6itAloOKpf/rPsqzRHowSjsmEogqeoG5nn2kzE5FVirMd5DgttHXGiCoKrZ1RxhVn8lllG2vqfLhtZhq8uojZ1txJOKagARsa/Ewty6Ukx8GoQjcOi5gkMnWTDy2RKtv9Gqys9qBpGk6rCVEQsIi6+EuXIdcZlrrOR9D7q2nJ28katPqjuO1mJpVmJRwH9/Qax6PB3WsuF6yo0ev9TCLN/uQm3jNGDeLcqSU899nOtOOPu0b2hgZ0BCX+80UNZlGk1hNEQzcVmVSavV/dCfeEm266iZtuuqlf2x566KH873//69e21157Lddee+3eDM3AwMDA4DvAHhWnVFZWcv311zNkyBCuvPJKSkpK+OCDD9iwYQO33347q1at4sYbb+TRRx/d1+M9oKlsDbClqRNJ0bCZRf1NOnqvls6owqJNzUnpdD0bma6s9vS7filuy12cZSciqUiqyqYmP19Wd6AoKluaOnlh+U4WrKhJu78FK3by4Adb2NEaoMYTYlJp1j6fAOW6LJhEIeGS57JZGJRhx9EtZU1WSVuzoWmwod5Hoy+MNxTlw03NWEShV8F3wbRh3H76OA4uzWJItp3CzN7dsNSuOigNEASRMUWZXD1zBKE+HAjRYPyQ5GsUF7QRSRc7oqhHNjY3+VlZ7el2fzMTXzQBcNnNuGwmlm1vIyopiV5W3an1hOiMynpNTZedfPf5rctmxmY1YzEJiKKI0pV61eKPsqnRT0mOg2nlueS5rFS2BfVITtcOFA0kSUUQYNXOjhQjjEZfmK3Nfj7a3EKNJ7RXZgPxVLklW1pYuKEJX1gCNN0MpGsbSdWbOIvdRGdM1k0hVFUjEJGRVY1gTMFmFplUkk1prpPOqISqgTccY3VtV32YqtEZlnjtq3pWVHUgKSrmrnw7RdUSvd+KshxJjZpBr6mzdltW0x5i6ZY2KlsCvL++kY82t5LrtDKqMIOiLAdOiyklbRX0+xSKytjMIrkuC5auGsDum0YVlcrmTh76cCt/eGcjd731da/f1f7S4A2xosrTtQ+t6/lOH8/MddlSGmmDXsOY79q9k5yKXptW1xGiIyQR6gpzxd0JDQwMDAwMfigMODJ18skn8+GHH+JyuZg3bx7XXHMNFRUVKduddtppzJ8/f58M8rtAd6thq0kEQcBiNiEp+ltxAchxWpIcxeLpOZuaOrGIAh9vbe13VKk010m204I3FKPAbcNtN1OS7eC/rU18tqMNNIEaTzDt2+LK1gDPfFJFe1DCJIAcltjWvO+LyedMLGZVdQdVbUGyHBZOHDeYL3d20OiPEJalRKQl7VRdg/ZgjH9/sZNaTxgBvedNX1wwbRgXTBvGki0tPLJoK83+9G5q8eNaTAKyqlKa66Q018nIwRks39Ge0u8I9Lf1uS5r0rK4WDq4NJtGbxhZ1bezds2wS3OdWESBL+u9+nEF3ZWvKMsBCEQlmdbOKG+vbUhJpyvNdSIpCu3BWNpzmH5QAdOG5/LC8p1UtQWxmQRiikZUlqlq1S35jx1ZkHAb7AjGCMXkRCNlDWj0RhAE9Pq2bs/Gv7+ooSOo35+AKO2xPXr3yGtMVnTHPJuZjm423HFUVSPPbaM9ECUeLFKBak+oS4wLuGwmVA02N/lp8EYIRGW9gXGXAUu8f5MoQp0nRIs/QkzWl5sEcFhNCefRRl8YDT06Fhd1ZrOIw2qiMNNOoy9MTFFxWEXCkkpdR5hxxZkEozIXHj4MgBeW72RLoz/lXBRNt+H3h2VOGDuYbKeFRZuaafCFUbv0erwBcbgzRnsgRp0nRFtg4D3W4tf5wf9uYU2dFwGYVJrNeVNKmVySTaM/wuhMe5KRSGVrgA++bkrbr0xSYGpZFp/vaCMY7dvNMRxTCETkrtYGKhFJ3a/97QwMDAwMDPYHA45MVVZW8tBDD1FfX8/DDz+cVkgBjB8/nsWLF+/1AL8rdE+NKsiwcXBpNoMz7Ik314KgW3V3jwLE03MuOnwYx4wsQFK0RJSqX293NbBZTGQ6zJhEgQ2NfgTAajIhqyqCIGA1iSlvi2s9IfwRGbR40b+2W6c4GLjzX0WBmztOH8fVs0YwpSyXZdva8IdlshxmzGLfNUyCKBCVFGo9uqmDpKi0dkZ3e10qWwO8tLKW2vZQX+2YAIhIetPgtbVenvp4BzNGFXDosGwKs2wcNMiVZPogpnmNHxfDtR16PQ/o93l4gSthoz66KBNJ1jCbBExAVFIJxRQUVWPEIDdRScVuFhO9rLrTGVbSnoPFLDBteC7nTx3Kr08cxfB8VyICEYiqbG3uZPFmvYFxRYGbUyYUUZ7vwhyPEqILiEBMobIlyNKtrYl7++66RqrbgihdzYE7ozJbmjrTjGL3dI+8SopGpsNMLE3DW9AFaGmukyyHFQHd7U4AijLtFGU5sJlFJEUjKqmEYwrBqP4iQFI1RFHAZhYQNBJNmsOSii8sk+nQo3c2iwm3zdQtCqhfi3iOafxYGXYzTf4IrZ26AJQUFQGN9mCMpVvaqGkPUZhp5/ypQ7nwsKFJkayeBGMytR0hDhrsJiKpaF01YcKuwwJ0XWuNwix7/7/7Pa5zoz+CCEQkhQ11Ppr8EW6YPYpfHj8yxeq91hNC0TQsaYYeiEh8saOdiUOysfXioGEW9VpHQdCFarzf17Ej879zKX4GBgYGBgZ7y4AjU1u3bu3XdhkZGRx77LEDHtB3mSZfhG3NATLsZqaU5dAWiNIWiGIzi2TYLcyZUMTJE4pSehXFexKtrfX2q/8Q7OrnVJrt4NPKNrKdVhRVxSSKiF2GFLKiElNS3xY3+sJ0hnc1TLWaTTT7I1S2BnqdCO1NfdfHW1pZXtVOKKowJMeO02LGZhZRJTUxqVS6qQaLCFkOMwUZNvzhgB550HRBE58M93bsFVXtrNrpIdjluGaCxISvJ/GIYYHb2tVsWWD+2ZOo6wizttbL3z+uJCbroQS7WexqDLyLuBie//4mBEHAadF78+Q4rInxeYIxVFXFJOqOhWaTiNNqwhuSuurIRNbWeQGB99c3JkRYrSdERE6fdjgs15mINMwYNYh1dV62dhM8igavrKpjxqhBzBg1qKteqYDq9iAdoRiNvmjStmtqvIRjehTMG4oSFxoaemrgqmpPn9e8L2KywrJtbWQ6zJw0vpA8t43XvqpP2sYkQJbLyvSRBUwfWcC/l++kIxTDjH7PS3IcZDksKKrKpqZOGrxhVE13BIx19avyhWXsFhMOq/5vcmk2y3e0E5M1XFYTBRk2nFYzH21uYW2tl5PGF1KS62Rzoz8RiaztCJHnsvHKl7X4QhKhrlorh8WEgIbDaiKm7GpkXJTlINdpJRhLL35UDZr8EVZWdxCMydgsJiIxJe3zmGmzEJFUhuYOPLJTmuskw2ZmYyCKpGgEo0riWSrJcbCiqp0VVZ6EOURprpPyPBc720JISvIzlmk30xmViUh68+MaTygRzTQJel1UYZaNYEzRG/0qKjYTWMwmo9+ggYGBgcEPkr1vcmKQoDDLzoQhVloD+sT80GE5hGIKFpPI0FxnipDqTroi8r6Ip5B9UtlGKKrgtCr4IzIxRSWmgMtqYmpZLhNLszmlx3G3NAUQRIFcpwVvWGJQhhVvSOrTaGBPnf/ib82dFhMxWaUtEGNwhq3L9U5AUlUyrGbau6V+FWY5yHJaaPCGkRQVi0mkJMuOwyLy0qraXhurxmvWwjGVWJfBQUpjq55osK0lyGHDbYnrXlHgpsEbwmk1oakaUVkl122jMNOe8vGKAjcThmSzbGsrUVmP8DV2CdNaT4j31zcSlVU0DRw2EZMokGE3YzNrHDdmEJWtAf63qRmnxcT2lkDCKKA010mW3UKzP5p0vMEZNm6ZMzYpLW/ZtjZ6tsANSwofb21NNHCeVp7L2lovK6o9Kc1k67sia0ePyGfVTpmyfAeVLUHCkopJgAZvOMnAoD/E68n8YZnq9gB2sxlo4tBhObhtJgLdrOTMJpERg9yJ51TTNJ75tBpJUQlGZQ4dlsPmxk6WV7Uj0CWiFI0cp26dHojIeMO69fngLBtDc12EJZWhuU7aAjFMokC204qkaEwq0Z9fQRD49YmjuPPNr6nt0A0gZBWissLGBj11zywKWM0iWldKnskmJKzZK1sDNPrCOKxiUqpgT4JRmbI8J7KqEenKXxTRozuSqv+/3SIypSyHiaXZTBgy8NrFigI3wwtcrK31YjNr2C0m6jrCvLe+kU0N/qT0v3jk6IbZo/CGJZbv0K9p/GWGNywjAJWtQTRNw2oSybKbkLocKYJRmYaOCOFuhY4xBRBUNjb6eerjHfvE/dHAwMDAwOC7woDFVHl5ea9vIEVRJDs7m6lTp3LttdcyZsyYvR7gd4XSXCdDc520B2NkOyyJ+qcCt40xxbpT3IoqPY2rL0HV30lI92hDTFZp7Ywlmp3Kioqi6qlJ9T1ShipbA+xoDaCoGv6YLmB08Sf2aTQQF2/LtrdRlGlP9LDZnQV7aa6Tokw7zf4ITquJYXkuSnIc1GxoQuqKKphEcFlEYqqKrIAnGKUzIuO2m8lzizgsJsYPyWZ5VTt2c6o7Wfy84jVrJpOAIAiYRN1yPd1Zieg1Uw6LiRynhek9GibrVt65bG7upK0zQkxSeebTqrTnO2diER9sbGJHa5A8l4UMu4W6jjBLtrTiDUvYzLprXCCqAipfVHVgt4iU5Tup6wgRlVRkWcNp25V3VVHgZt7RZdy/cAv+kN7zymERKOhhrBE3HBC6qUYBsHT1aeq+vyumDyemqNS2hxKTYwHwRyVqPFrCqntSaREvraxlXZ0PQRAIRnXHvIEQF982s6BP0DWZFn+E1TVeREFIRE9zHGbyM+09BL9+NkVZdtoDMURB2PWsO/X0vdJcK1PL8hg52M2yrW2s2hnDLIrEJJVBGXby3FY+3tpKMKpQkGGlPRBD1TQ+kZSEc2VFgZsZo1tY8EUNsS41EXdzzHFaCERlpKiMIOjjCUZlJpVmU5hpTzxrvrCMy2YiIilIaRRVht0MCLisZgRkopJKltOCr+vlgQqEJJWPt7Umvq8DbZOwZEsL/9vYQkhSkBWNUExFUfUWDU2+COGojNW8K903/nvmp9OHU9kawBOMYREEcl0WJAVyXWZ2tIbQW3dpxBT9ZYCsaphFgUgPxxgB/V4KsM/cHw0MDPqHaHWSf8ZNKcsMDAy+PQYspo499liWLl1KQ0MDRx11FIMHD6apqYnPPvuM4uJiSktLee2113juuedYunQpU6ZM+SbGfcDRPbK0ttbLki0tjCvOpLI1yMdbW6j3RlLeDu8t8WhDjSdEjssCQL03QkTSkGWVUFe9S0/ba5vFxBHleXxe1Y6iajgsInaLuNs0nWBMxh+WMIskLNgtoj7R7a2/TPwteLweaGpZLiuq2vlocytaV71LhsNKthNqOsKI6G/WY7KKLxTDaTVTPMiBPyIRisoIpDZ7jZ9XezDGlGE5hGMKLf4IbcEYJlHFJOqF9XGLdrHr56iiIakyBxVmJBXodx/344u38+7aBiKxKF/siPHe+kaumXVQyrYXHjaU/3xRg6JqWEx6j6Ncl95MVkpjVxiRVN5e20C2U3c8jMkqLkxJ0a9p5XlcdlQZX+zwUNNlxFDbHubxxdsSE+7WzgjhmAJCVyoW+vmV5jo4ZUJRyjinluWwaFMznWE5kW6mKCpRScVtM1Gc7UjUtgGompbkstdf4vVk6+u8SYYenRGZ4iwbMVkhz21jWJ6Lod3SFkFv8CspKjvbQ9jMInlua49nXcFpNVPXESYcUxiUaaPL84WqthCN/lrK8lyYRZFBGVaq20O6q58o4AtLzBi1SziPKszAZTcjBaUk0R2MSjgt5q56LBFJUXHZzJzcdU3bgzHy3Va2NcPY4kw21PlQNf3lQNxW3GERcVnNdIRi2CwiZtFMh6qLKKFHxFRSNKxdDZ4HKkbW1fmIyipleU4qW4KIAmQ7zbQHYjT5dGMUDZAVjbW1HRzb1Yx5xqhB3H/2RD7e2kqOy8qEIVks3NDE2jqvXuspCEQk3SImPtyYkv6Fi1kUaPJFKMiwGQYUBgbfIoLZgmv00ft7GAYGP2gGbEAxe/ZsbDYb27dv56OPPmLBggUsXryYbdu2YbPZOPPMM9m6dSsjR47kjjvu2O3+Ojs7+e1vf8uJJ55IQUEBgiBw55139ns8LS0tXHrppeTn5+N0OjniiCNYtGjRQE9rn9HgDbFqp4cmf4SPNrcgKSqBqILdLKY1g9gb4gLuZ8dWMP/sScw9pISyXCcmUX/bvaU5wJbmzkTPHdg1ye2I6BETkyjgDcl4grE+I1Mrqjxsbwmgqho7WoNUtwUpzLCxps7Ly6tqkyzf01HY5ShWUeBmWnkek0qycNvNZNotjCrM4NRJxdgtusW33qAWTCZd5IVjMuvqvEQkhWBUZsQgd4r46e6MWJRlx2UzIwh69Mkk6GmWM0cPYli+i8EZdgT05qkCkOOw9CoENU03OVDRHcuqW4Mp2+n1bj7MoognqKebLdzQxMSSLKaW5ZDntmI3pwoSWdV7cUmyis0sMijTnhC08Ujb+no/WQ4LWU4LzZ1RFE1lZ3s4IU4LMuxk2i04LWbMApjNAooGzf4oK6raU445rTyPkYMysFtE4kOSVAjFZFZUd/Dyqlq+rO7AbTMhCOC0msh0WFLqxXZH/Nk8ckQ+3X0MNKDep9f25LisnD65OE1amEBBpp0xRZmMGJRBcbYz6Vmfe0gpVrOJMYUZ1Hj071t7IEZHSEJS9Zqh6rYgZpOA1ayfh6LqERZfSOK1L+sTz+q08jwq8t2YepgxxBT95UEwJtMRjBGMKl328hqNvjAWk0BbIEaG3Yw/IuOymxmS7cBqErGa6BLU4I/IjBzsZkSBG1nVyLCbcVhNugthN2xmMcWgpr9MLMkiw26mxR/DbBJw2cw0+6MEIjIIQuL6e0IST328gwUrdiY+O2PUIG4/bRzXzDqI0lwnxdl2xhRmMqEkSxf6wu4zZbOdFswmkSE5DuYdVW5EpQwMDAwMflAMWEzdc8893HnnnZSWliYtHzp0KLfffjvz588nKyuLX/3qV3z++ee73V97ezt///vfiUajnHnmmQMaSzQa5bjjjmPRokU88sgjvPnmmwwePJiTTjqJpUuXDmhfe0t88vvSqjoqWwJMGZbDoEw700cWUJ7nIiKnN4PYWyoK3Bw7soBaT4jHP6rky51ePMFdjWcVVUuyPY9PSmeNHgSCHhExiQK5LutuIlO7+taYRH3CFncPHFec2asLWdy2+ZFF23jwv1sSRgaXHV3OsSMHcdSIfM6bUkpBhg2rSSTbYQFBd9kLRiRqPWHW1/uJxBTsFn1in672rLsz4uiiTLzhWJe7mYYgQH6GlaisEpGUrl5Hu4wp4jVO6SjPd2E1iwiahkkUyHRaUraJR8VynBZCkkJ2lwW+IAjMO6qckYUZlOe7yXaYcVhSG/hmOixYTLqwjQvaJCc8VWPk4AzcNjNZDguWbupkWnkuh5blUJztwGkzIykaoqA3Pf7PF6l9iyoK3Fw9awQVg9xYu83oFU13cgvH9PqjHW1BzKKAKIiMLkqN3PWHigI3V88cQUWBC1EgMam3mASynRasJpGirOT6wMrWAMu2thKIyNR1hMl0mJPcL4/tioImWgqYBBQ1nk6no2oQkVVKc5yUF7gYnGnHbBISTXbrvCHeW9+YdD1GFWak/DIU0AN+TpuZoiw7/lCMP/13C/9YVkUgInP65GJuP20slxxZxpSyXPLcNtx2E5kOK3aLyOTSLIbmOinO1uslh+W5OGpEPhFJQUVI1E5V5Dv50dRSZo4elOiDNRB0QTSW48cMItNu1tMTFQ1z1yWJW6CbRN3lcFV1R9LnK1sDLFixk7ve/pr/t7KWL6racVjNHDk8nyynJcnVsudvCAHIcVmZWJLFDSeOStToGRgYGBgY/FAYcJrf9u3bycrKSrsuJyeH6upqAMrKygiFQmm3686wYcPo6OhAEATa2tr4xz/+0e+x/POf/2TDhg189tlnHHHEEQDMnDmTSZMm8dvf/pYvvvii3/vaW+KT3/FFmSzy69EnvbYIBmXaObw8j/ICV4oZxL5iyZZWmjsjKOquPkIAiqqyvt6b5MZWUeAm323VeyKZRRRVw2Uz9ynyppXnMaKgiXpvmNGFmVx2dDlN/gjvrW9k1c4O3FZz2sjWiqp21tR5k2qdAF5aWZsojI/ICqMLM7GYRKxWkUBMIaapiaL4iKQS73QUk1Vaeul71N08Iu6aJ6kaE4ZkEVX05q9ThuawutaLw6IQiClJNU7p7ku8HmpbcydmUaCyNZDibBevJ1tb6yMmKXy108vE0ixKchzUekJYzSZOGDuYZdvaCEYlajwhIl0zXFXVU7xsFhGLSWThhqZE36u4YMhzWTlpfCERSaHJF6Ewa1ffoIoCNzecOIq6jjCLNzfzny9qugSVLkh7nlfcOOHQYbk0+yKEpFhindZltS+pGlkOCyMK3GxrCZDvHlhUquc9mXd0Ofe/vxlfV+qg3OU4l2FPfeZqPSG8YYlMu5nWTr03Vrp9xlNqG7whXvuqjoYuM4d4QqWiaGyo95GfYdNTO7vl1ckqLK9sS6Rrzhg1iEZfhD8u3ERHaNfxJBVMgkYgKu3qjRVV8AQl2gJRTplYlBAPU8v0nl81nhCgIcka/ojMxJJsSnIclOQ4WFvrZUtzJwLgMIsEFAVVhSZflHfWNVCQYWdTo3/ANVPxcwDY2OTHbNLrw2KSitItLU/PNtWShGf8ZceW5k7aAzHcdjMWUSAQkTllQhERSWFzcye+YKyrVkojGNuVthqvNzx2ZIEhpAwMDAwMfpAMWEwNGzaMZ599lpNPPjll3dNPP83QoUMBPeKUm7v7t9l7Y6f7+uuvM2rUqISQAjCbzVx00UXccsst1NfXM2TIkD3e/0CwS518+Z8HkAQTVquNaG4mXwQV3g6qRDUTVpuNisIcbA0j2DE4B7vdnvSvpKQEh2PPI1a5LiuiICBpu4wFBAGynVbqvamGDaCbLzgsJoJRmdLc3Resuu16ZMTdNRnTNI1wTKbOE0LV4LFutTzdjyOgT9Tjdzru8Gc3i0RllS1NnYwpymRSaTZNvghmk8CO1iDpyjNCksrfP95BQYaNC6YNSzvOaeV5TC5po6o9iN0qI4oiRS4LgZjMqpoOBGBovhMBIeG02JeQjHYV9gsIbG7sTLmW3c1AJEVPU6xp118kdBdFmQ4z/rCE1WwiIuuuaSZRd3MryLBx9Ij8hFNivOFud3fH0lxnWrfHuIjUNI3/bWyh2R9B1TSCUTlJ4HZv7iorKrKqOx7GGycL6BGt0lwHuS4bGxp8BCIyn25rIyIpe1HrJ2C3mOiMyihdjY1zXOkjjKW5TiwmAV9YZkiOHYvJlFboxn9+f30jFpOJ0lw7HUETzb6ILpkEaOmMcNjw3C7b9yjhbg4R9d5drQAqWwO0dkaShEfXLlA1UNI41HdG5CRTjooCNzlOC8GobnmvarrbYPdI0xXTh7Oy2sMLy6vZWN+ZEH5hWSEkKXpaYFgasHNi92tXnuei2R8hGJFBSO8y+Nn29sS5x192iEBYkgH9xUpcsBdm2nnm0yqy7BZaA1FkRSUqR1G77qOsqvxvUzMb6r00+iK91k4aGBgYGBh8XxmwmPr1r3/Nz372M+rq6jj33HMZPHgwzc3NvPTSS3zxxRf8/e9/B2Dx4sXfuPnEhg0bOOaYY1KWT5w4EYCvv/66VzEVjUaJRndNhvx+/16NxakGWf3fF/vcph74+Mn065YsWZK2L1drayuTJ09OEV89/8UwEar20ykJCGYrFpsNs8WKOvEYollFKW5sU8tyKIrV0xxUMKkmKqsiPBLwcvnMUYwtycdsNicJ3VpPCEnRuuyzO3jm0yp2tAZp6Aijogu39bW+FIOGaeW5CZHUPaJSlGmnviNEICKTYbewqdHPeVNKEQSBBm+I+9/fnHBW60kgqvDYou2AkHbyFjePqOsIo2kagiB09dvx8PKqWsYVZ9Lkj3LcmEEUZTn6tKJfUeWhpevaRWWVYFRK62xXlGXHG4olIhg1nhAvLK/mjtPGJ0VRHv+okmBXtCVe2j84y06uy5pwSuye1pZONKWjsjXAujovgZiMqmlYTGJK6mb35q6BLhv9+DhATwfzd7kPThmWS31HGKvZhKXLXGCgxgiVrQEe+2gbn25rwxuKEe/XqwH5blva1MGKAjfzjirnmU+rkBStT6Ebb5StqCq+kMxh5XlsqPfS4IuQ47AQVTS+bvCT6TBTnOUgIgWJyioWUa8Fi6elPvXxDtbWeQlLyaqprzohNc1KT1BCVjS9tgq9x1Q80hi/dxUFbjY3drKjJYiiakSVXe4ckqJhEvvTPjs9uqjPZ21tByFRwCzQwwRfp6o90E2wCQn3xyyHhWNGFDB1eG5SvzOr2cQxB2XzzrpGYrJKttNKVFbId1mp9oQJRMLUd4TxBCXW1noNa3QDAwMDgx8UAxZTV1xxBZqmceedd3L99dcnlhcWFvLkk09y+eWXA3Drrbdis+15elB/6C36FV/W3p5agB/nvvvu46677tpnY4lE0qee9ZfeolLhcJiGhoY93q+QXUz26EGs7NF4dWi2jVfvuCSx3Vdd/32067+iKCaJNZPFRkgReN1kRbRYyD/yPEJFByc+r2kgaxodwRh33303mqYlPjtEghxZpNCWycblDdjtdqZnqciODjb5w0wsKsDT0oivw8nsyeW87g1jEvWePunb1kJzZ4TnP6/udfLWm/BYW+ulyR8lz2VNTBj7RsNmFgmLeoRCUVOb2MZ7KsV7J5kEfbIdt6WPj2XJlhaG5jlxWkW2tehGFoIAGTYznkCMsKRgFgVqPaEBi5a4IAhFZcwmvUFwz9TNuE39zq4ImtUsoqpaIuUQ9GhDWFIQBYFRgzNYtdNDQFZx2dOncfY1phtfWctXO71J0RERvQfaieN6rw2aMWpQr1G4lOO0BGgN6OJWqmzjx4cN5cudHUiKRrbDwvRRBWiaxsINTXRGZJr9YUwmEX9Yj9qtqPKwtbmTTLuZAZweFpEkU47K1gCrqj1J0dR4M+ieInTGqAI+3tpKWyCKqslYzSaikkJUVnBYTGn7mfWH+HPYGVVQVA2pF+c9SYFFG5s5f+rQpJcdY4ozuWrWiJQU1jyXlWXb2mj0hZEV/ftgNgm0dMYSEWdVA4u4Z26EBgYGe44S8lH36IVJy0qu+TcmZ/pyjAOR9957jzlz5iR+NplMlJSUMHfuXH7/+9/jdn83fp8EAgFuu+02XnrpJTweD6NHj+amm27i/PPPH/C+/vGPf3DFFVfgcrkIBHbVPq9Zs4Zbb72V9evX09raisPhYNSoUVx99dVcdNFFSfuora3lZz/7GZ988glDhgxh/vz5nHHGGUnbvPzyy1x55ZVs3ryZgoKCtGNRFIWioiJuvvlmfvWrXw34XH4IDEhMKYpCZWUl5513HldccQVbtmyhvb2dvLw8Ro0alfQWfPDgwft8sOnoK02wr3U333xzkhj0+/0pphoDYW/FlN2efgK1t/tVBAsRSeXrel9S+tDu9quqKqFQqNe6N3HMCdiTnbdRVD29af699xIO99+x8JOu//4/4IJf3MTgo3+UaIDbneYXf4ca9iOYrYhmK9EsF5usNr58Noehg7L7jNwdfPDBTJkyJW1j5NraWoCk7eORuWnleYwuzGRltQdBUVFUlQ31/qRrGY+QuKwm/BEZRdNT92aO3lVDEq9VspgEOrsET4HbSmtnlDW1XhRVn6R2BGO99rPqjXi9XlGmnR2tQdxd/ap69s6KR+xeWL6TxZta8IZjhHrksMkqOCwmpnfZZ9d0hNjZFqTOExrQuGo9Ieq94ZQ0MxU9itfTtj0d/RFvVrOIRRSwmISECLz9tHGJewx65ElSNJxWEafNjMNiIqaorK/3sanBT5M/gqyoOKx6M+GeR7V0NdjtTpbTmiR6aj0hFE3DYTURkxUEQcAfkSnLd1OS40g0cS7NdSZqiz7e2sqKag9VLQEUDUyanjbX1EtN4O5YUeWhtTOKy2YiEJUxibrAUTVNb6zbjbV1vsQLgXjNXfx6de8fF69Pe3zxdna0BnBZdXt5UTThsJoIxRTEhCvknrkRGhgY/LD56iv9de6rr75KcXExwWCQf//73zz00EN4vV6efvrp/TzC/jF37lxWrlzJ/PnzGTlyJP/5z3+44IILUFWVH//4x/3eT319Pb/+9a8pLi7G5/MlrfN6vZSWlnLBBRcwZMiQxLX6v//7P6qrq7ntttsS215yySVEo1FeeeUVlixZwnnnncfGjRupqKgAwOfzcd111/HAAw/0KqQAPv74Y1pbW5k7d+4Ar8gPhwGJKU3TGDt2LG+//TYnn3wyo0eP/qbG1S/y8vLSRp88Ht3koK+aLZvNtk8jZ4MHD+bnP/85kUgk6V+Tx09Vs5dwOIIqx9DkGJoi6f+VJTRZf6v+TYkp0WxF1UikdO2r/VqtqddOQI/a7M2+P6/upKCwFQEtZSIute1ECXgSP9d1/be6H/u96aabmDJlStqI1RlnnMHq1auTlnWPzGkmC0FZRBMtCGYLosXKHa9n8VxhDieffDKnnD8Pi0kgKqvkOHQRdsbBQ7DUrOTRL97CL8Hn1X68UfBENESLFUkWaTZbkAQLos1GDBNRk5XB2S6iUeeAolPx6EGNJ0RBho1Mu5myfFevgiUcU3BYTXhCenpXrJugclhERhZmUJqrjyFuaBKO6cYa6fps9TamIdkOGn2pKZFlea6+o01dkbb2YIw8l7XXtLHSXCfl+S7aAlFkFbJdFsYPyUq6x0u2tCT6j324qRkBoSsCpeEJxpBUjeNGDWJDo5/yPBcfbWmhMyzpgtgsoGq6YMsyi4loWa7L2mW9LySPJc9FeyCGYjExvMDJ2YeWJlIZe55PXFCtrvXisJqIyGrcL3O317a3a7Zsq94kOhRTdDt4DSyCXheoaclNhe0WMamBb7x27MH/bqHRH6Eo084Ns3fVyJXlOclwWAhGZdx2C4VZdqYMzeG9DY1682WnhdMmD/nGDHYMDAy+v3z11VfY7XbOOOMMTF19KmbOnMnixYt5++239/Po+sd7773Hhx9+mBBQoJ/Dzp07+c1vfsOPfvSjxLntjiuvvJLp06eTm5vLK6+8krRuxowZzJgxI2nZqaeeSlVVFX//+98TYioUCrFkyRI+/fRTjjjiCE488UReeeUVPvzww4SYuvHGGxk1ahTz5s3rczyvvPIKU6ZMYdiw9HXq/SUUCuF0fj8bSg9ITJnNZgoLC1HVdGXN3z4TJkxg/fr1Kcvjy8aPH/+tjWXUqFE88cQTadf9ZdE2/vPFTtqDUbqXZVhEfRJ22ZGljBgxPO1ny8rK+O9//5si0tL9W1/TytZ6D3ZRodHTiRSLIjiyQIBhua6kGpVYLIbJYkORUie7/SEn04kvzfKOzvCA0sF6YrPZsJhEVLNGRFaTUpU0OdbHJ/umN7EK6YXl7iJzW+tgK7ohyzUFbk4aX8iWpk5dqFhERg5288RNT7B48eIBjbMGWAl0nHIaM959K+02d955J8uWLUupmZMxU2y1YbPbsWW5ea0hMyVC1yTZ2dKRS1sgSjimJNmsa7EIbpuFWFRKRFHcNpNu5a2BKit8vLW1XxPmigI3Zx9awqZGf5L7mwgM2Y3ZSTzSl+/WBWJvaWMVBW7uOH0c761vpCMYY3qXo1z3KFB3A5ACt42OoJ5OmWG3MHKwm3BMoakzyqjBGRRnOxC36uJJklVEQcBsEnBYRMyiSHm+G19Y1nuDKVrSc56uOXVPQTemMCNhMBI3FInXDlpMuujJc1lo8UdTHCN3R60nlBCGS7a2Istqojea22xmTFEm6+v9aIDVJFCe70qJIPXmvBkXgsPzXYwY5OagwW7W1vpo6owyrjiLsKRgMYmJtFYDAwODgfDll18yZsyYJLEhiiIFBQV7/eL32+L111/H7XZz7rnnJi2fN28eP/7xj/niiy848sgjd7ufF154gaVLl7Jx48akKNPuyM/Pp6WlJfFzLKb3DnW5XIllbrc7cT0/++wznnvuOdasWdPnfjVN4/XXX+faa69l2bJlTJ8+PUkwxnnuuee45JJLWLFiBVOnTuXOO+/krrvu4ssvv+Tee+9l0aJF2O12Ghsb+31O3yUGXDN1/vnn89xzzyXlt+4vzjrrLK666iq++OILDjvsMABkWeaFF17gsMMOo7i4eD+PUH9jvLnRjygKKRXtkgqtgSifVfk44qD0kYjMzExOPPHEfh8rXjujtgRQFP1dd47DwkVHDEvaf0lJCf9bX8MNL66mrTOMJksgxzBpEqMK7FxzbBkFTrFX4dbgHsmCjSGi3eptNKDRF6bssBMZmWfDpMn9EoHdJ6UxTLQHogiCgCiAzSygKBp2qwlNkQZ07bszUDE10P0WZTkoynLQHtSbpS7c0IS3M7XBb3/p7OVUK1sDfPTZSpZ99NEe7XfytCOxnXFXwhBC6uak4Fv6DDVfvctK4GVRxGa3g8mChBlMFkSzlRa7nc1/z2JQTkaSSCsvL+fuu+9OOtaWpgCCIKC1VhJsrkY023A57URLvCxb5uk1JVOWJBq9YbY1B8jYTa1WRYE7KVK2ZEsLz3xaRYs/itkk8OPDhnYzAAkjq5qeXhmIUZztZFp5XiLFbUWVJxEXMneJTIdFpD0oYRIFPtrSQobNzMSSTMKSmpJG3FudXk+b++4GI3EBtqVJd4ls8Ud5cWUNm5v8A3JPjB+jqTNKYaadmKwSkRVkRcVqEqnz6immLpsJu9nElLT1gumdN7sLwWNHDerq9aWbWGxu7GRrcydThuUkCUUDAwOD/tDe3k5NTU1KtKW5uZmvv/46UYe/N2iahpLOljUNZvOAp8WAbog2ZsyYlM/HDdE2bNiwWzHV0tLCL3/5S+bPn09JSUmf26qqiqqqdHR08PLLL/Pf//6Xxx57LLE+Ozub0aNH8+CDD/Lwww+zdOlS1q5dy5FHHokkSfz0pz/l5ptvZuTIkX0e57PPPqOxsZGzzz6bgw46iIMPPpjHH388RUw99thjTJ06lalTpyYtnzt3Lueffz5XXnklweCez4kOdAb81EyePJkXX3yRWbNmMXfuXIqKilImFQPNq3z//fcJBoN0dnYCsHHjxkRo85RTTsHpdHL55Zfzr3/9i8rKykSo8bLLLuPxxx/n3HPPZf78+QwaNIgnnniCLVu28L///W+gp/aNEH9jPGVoDv/9OlWR280i3pC0zyYhk0qzaA9E2d68y3o5Kqu0+KMs2aK/tYjXQ8wYNYhfnzSavy2p1CeampMsuxlngRt3cQXTRvaeQ1vZGmCDby1f1XiTnM1U0ULR6b/llnMmcmwfn4+jaRqSJBGJRNhc187zq5pYUulD6iqgd5hFhg1ycerEIhY03EZVcwfIMSyCwjHDsxldYE+kU66pbiUYCmPSZEozzUlirq96uO6ujgMlLqZKc51kOszUdYQpzLIjKRqB0J6/qffHUtO94mK5qtm7x/u12uwUZTmwmkUavWFUFVwWkaCkoiq7In+qqhJOE5WLARvqUhYzefLkJDFV2RpgR2uAmKzi2/gJvuUvA9AK3LcA7tvNOAVBxGS14swtRDh9Rdpt3n77bZ599tlEZM4XhWqvhDcKimhGMFlZ/4GDc6aVM6lsEN4YxHZ0sFUxkZvhoiRnfIoAGjckiw11XgCcNguKoje1Ls6y0+CLoCgqm5s6mVSa3e/aoO59sXqztV+ypYXlO9pRVZWICtVtwQH9Tqjoio6ur/ehaRqvflmXcKHsCEvku624M+00+iPICimGNNC782Y6IQh6zVd1WxB/RHen3F2LAQMDA4OexOulxo4diyzLSJLEunXruO6665g9ezb33ntvn58/+eST+b//+78+a5KWLl3KzJkz+zWeqqoqysrK+j3+OO3t7Qwfnpph1B9DtDhXXXUVo0aN4uc//3m/tv3b3/4GgNVq5S9/+Qs/+9nPkrb55z//ydlnn01ubi6iKHLbbbcxbdq0hEnYjTfeuNvjvPLKK0yYMIGDDtJfWl577bXMmzePNWvWMHnyZABWrlzJypUr+de//pXy+UsuuWSfmr0dqAxYTF188cWAXiC3ZMmSlPWCIPT7DUCcn//85+zcuTPx88svv8zLL+uTr/iDrSgKiqIkvaW22WwsWrSI3/72t1xzzTWEQiEmT57M+++/n9ZmfH8Qf2O8pbkTs8lETNlV4G4WdNMGi0nY60lI9zoTb0jCajIhq/qxorLCm2vqeWN1PYVZdobmOhN1KEVZDnJcNnwRCW9Ixh+RqfGEaPD23XBZT+Mqpb4jTKM/WYy0BSL9TvUTBAGr1YrVamXa2EwqAyY+29mJHFOwmwXyMmxcdnQ5508dSkHG//HMJ9WEJYXCLDs/nTmCGaMGsWRLC+vqfJyQYaU427lbB7ieVFVV9Rk5+2JbE//v80o8/gCRaJQcKxw3MoeSTHMiIprO0pspUykZnI+3M0hDu59QOEI0GkGTJVQ5iipJaEqMdDZy2RmpqXDxKIFd3PM02yy3k1GFGdR4TNjMet2MpGrYTAJWLb0VfX/oGfmr9YSwWUwcXZHPW4sGvl9NU5GjEQQl1ut3Y/Pmzbz22mt97qcdePCd1OU2u51//+7SpGUVBW7uOG0cDz7+FE/+4dfYbDZEsw1ZMFFjsoLJgsvpoFY005aTwc7/5KaNrN1zzz0p16OiwI1bDbJi+WJ2pPlMS2OA5uYWPBENwWzFLAoDdk9cuKGJLU2dNPrChLscJ7IdZgJRGZvZ1BUd1xAE3dWyZ/1bTzOK7v2xei5bUeVhba0Xq0kkJiuMLszgwsOHGVEpAwODAfHll18Cel3zTTfdlFh+wgkn8OKLL2KxWPr8/KpVq/jzn//c5zaHHnooK1eu7Nd4dpfRJMvJf89MJlMioLCnhmigm2+8/fbbrF69ul/9V2+55RZ+8pOf0NLSwttvv80vfvELgsEgv/71rxPbHHnkkdTU1LBjxw4KCwvJyspi27Zt3HvvvXzwwQeYzWbuuOMOnnnmGWKxGOeccw4PPPBA0t+v1157jcsuuyzx8wUXXMCNN97I448/zlNPPQXAo48+SkFBAT/60Y9Sxnn22Wfv9ly+DwxYTA20BqQ/VFdX73abZ599lmeffTZl+eDBg9Oq4f1F93qN7m5Y761vpKY9SLCbrZYgwJAcB/OOKt/rSUj3dJxVOzvIdpqJ+PVCdBC6bIslyvJEtjQnN56t7Qjh6+rpJIoCEUlh4YYmppXn9TmuaeW5HDw0h/ZNTUluYZIKS7e2JorsB8K08lzGDcni63ofZlFk/JAsppblUtkaYG2tD5fNjCcUxROM8fSnVSzZ0sr/NjUTlVQy7GZuP23sgK9lXMxlZmamXT9kTIAVsXVEmvw4VQ1BFGgqyuSXZ0/sYXndw9L77H8m1lW26mlR761vZHtLgGBUJiqp5LosaIrMWZMGU9no4csdzThNGhPKBqdEDuLCvPzYcxh28HQOLXHjMmv9SqWM/xtz0PCkyfGKqnZWVXcwLM/JgwtVdv/uLD09xUN8rO3BGIVu8x7vNz+r995aA3GM7Imjl7TPigI3k4tdaKpKJBwGko8Rj935qmHr6p6f1untTeqKFSs4/fTT+zW+akHgpLvtOB12LFYbJouVl9/9kKMmpqZkVFZWcs2Nv2N7e5SQLBJSRcwWK5JgwW+2YrfbKB03hI6oQLCuE79oRTRbeKGjigqTh5nTJiZaM6RLVUyfvthllyGA2aSblhhCysDAYKB89dVXmEwmli1bhsViob29nT/+8Y98+OGHPPXUU1x11VWJbWVZ5s477+Tpp5/G6XRy9913EwqFGDVqVJ/HcLvdiSjK7ugrza+6upry8vKkZYsXL2bGjBl7ZYgWCAS4+uqrueaaayguLsbr9QJ63RPoDn4WiyWp/mno0KEMHToU0DO4QHepvuSSS5Kc+SwWS9L1ufLKK/m///s/jj76aP75z3/yzDPPsGjRItxuNyeddFJS26AVK1ZQU1OTJIhsNhs/+9nPePDBB/nTn/6EJEm89NJLXH/99WlN3YqKdu/c+31gwGLqQIn4HIj0dCE7aXwhoE8sJwzJYlCGnUBEJqpo2ExgEkWKsuyU7qYgvz90r8vIdliI5TjwRWRCUQVB0Kj1hBBNIiurPTitZj7e2srUslwafXoUySxCTAFV1chxWpAULSXNKJ1QvGH2KOxWE2+srk9K91u8uYWL9uBNdTw60L2QH+DddY3UeELkOC1sbFTQtBiN3jDr63wEojJleU68IZkN9b49EnG7w2Ez6T2ZJBWzCDtag0mCtDsN3hAN3l09puL/rShwM7Usl5XVuoX1qmoPnREZt91MtV+lRbYjZhQwYkgWHZKacv0T6WITLh5w9K0n3cd1wTQ9bbb8r3/nyf+tp7a1E1GVsAoydW1+FEl3nkSJYRcUhudamV6RjbubkOuZFtE9tS1zyxisnoPTirvdCSK3s/eI7d7UulnSuFHG2Zu0T9DFeToGNF5NIxoJE43suj4LVtRRWFScct/r6+t5/9UFfe7uhTTRuSZgziN635JJkyalrK+srGTatGlpo2+ayUK9X0YSzLgdDp5blYP7pt8zZljv/cMMDAwMevLVV18xduxYjjjiiMSyww47jJKSEv7xj38kiakbb7yRr7/+mtWrVyPLMkcddRSTJk1CFMU+j7Gv0vyKi4tTIlxxoTJhwgQWLFiALMtJgqw/hmhtbW00Nzfz4IMP8uCDD6asz8nJ4YwzzuCNN97odR/Tpk3jySefZMeOHb3anD/77LNs3LiRV199FdBLbM4999xECt/ll1/O888/nxBTr776KiNHjkwZ+89//nPmz5/P008/TSQSQZZlrrzyyrTH7E+U7fvAnlXaofvTL1++nLa2Nk455RRycnL25bi+k/SMDj3zaRVWs4k8l5VJpVl0hGIoqoYARBUwqyrr6nzc9Mo6rp41Yq9EQPfJa4M3zEebW6jI11hX70PVICipmBW9aD7HKSTqtEDDZtEddDxBCVEQCMVUsp2WpPSqdHbV8XM+fVIxX1Z72OnZNfELRuQ9rgPr/iY8ftwaT4gmXwRJVlE1jaikICkqNouIompUt4cYnGln/JB936iw1hNCVjTsFhNhSUVWIRiVae1MnnTHraXX1HkRgEml2SkmAj3PrXsRf2m2g00Nfpbv8JDrsqZN8+rN5CC+v+5id6CcNm0kAey8vKqWccWZrNrZQac7QKSr55fLauK8qSVcdHhZv/YfH+ux99wF96TPme5eM5fuX18pHscffzx2+66aOY8/iLczSF2bH6dJpaMzSIFDxC4qRCIR/MEQbd6A7nLpzO7VMW9vRJrNZuv1j8feulJ1ymLa79Teir/ezFlCoVDireru2AbkH/cTineGerWyNzAwMOiOz+djx44dKdbc2dnZzJ07l+eff54dO3YwfPhwGhoaeOqpp9i+fTuDBulzpaOOOors7OzdHmdfpflZrVamTJmSdt1ZZ53FU089xauvvpqU7vavf/2L4uLiRElAOgoLC9Nmfc2fP5+lS5fy/vvvk5+f3+e4Fy9ejCiKaeu2QBdsv/71r3niiScS10zTtCRTiEAgkDTvePXVVznvvPNS9lVUVMS5557LE088QSwW47TTTktEyX6o7JGY+sMf/sD8+fMJh8MIgsDKlSvJycnhuOOO44QTTkjKe/0h0T06ZDEJSIrGpBLdBastEKMoy4EgQIsvigrIGrR26ilrjy/evseT4Djd+8WsrfWyudGfZCAoq2AzgSckkeWU0DSNaeV5jChoYmW1Hp4WBJBVjTFFmUlj6enqtbLaw5oab0JczRw9mH8vr070sukIx3Zbd9Uf4sedMiyHZdva6AhGEYCIpCKIeh+gQRk2gjGFgoz0EYG9pTTXqd9PWUMEBFGvcyvISI5u1HpCNPojqKpGMCqzuqaj1+hVnDU1Xmo8IWraQ2xt7kRWNdwW3Zp7IM1b+9ubaXdMK89lba2XJn8Ut9WMzWJGRUZVNaxmkVyXbZ9OlLvXzPWWZtkbs2bNYtasWUnL+roOS7a08O8valIsynsyb948xk49hqeXbmFLgwdNijE028LJY/OJRSI0dXTiNKlJkbn4v76Iux725WbZF4pgSls/trcirSkgky5JZqD7HVeSx/aOmOHoZ2Bg0C+++uorfR4ybVrKunPOOYfnn3+e119/nRtuuIFFixYxbdq0hJACaG1t7VfEKSMjo1cRtK84+eSTOeGEE/j5z3+O3+9nxIgRLFiwgIULF/LCCy8kbN+XLl3Kcccdx+23387tt98O6H8beroZgh5JMplMSet++tOfkpmZybRp0xg8eDBtbW28/PLLvPjii/zmN7/pNSp1/fXXc9hhhyWJo9mzZ3PDDTdwxBFH4Ha7+ctf/sJPfvITQM9YqKys7LXm6brrrksIxGeeeWbA1+v7xoDF1BNPPMFdd93FVVddxcknn5xkkX7qqafy2muv/WDFVPfokKZpLNzQlHDBmjAki/qOMBFZIRBRENDojOr9e0zokY59NQmJj8NhNfGvT6uTmt9GFQ2bRe9ps3BDE1dMH86Usly+3OlBEDRkRUNVVTzBWNKb+572zppGkriaWJKF2SQidfUgk1VYvKklkUK2p8SPu2pnB7KqYjKJDMq0E47pE3xBFPCFYkRkjXW1Pn798loeOHfSPk31i5tLtAc3s6VRd0m0mUUKM1PrhEwCtPh1sRyMKbz6ZV1Sz6HuxIViRb6Lrxt8hKIyiqr3BrKa+9fcr+e+dicU+nOu3Z/hpz+tYvXODoKKQigq8+LKWiYMyfpGUin3BX055/VmUd6T/Px85szIZ/S48Wn7Ru0p5557bkoPEk3T2NzQwV1vrGFtVQvBUBhBkVDlGKoUQ1EkbJqEqkiogokVVZ7EecYpKyvjV7/6VUKc7WzxsqmuHSkaJRyJYEHGJiigSHT4gyjx5uGyboCyqSVMuuTtgYqpbe1R8jPshqOfgYFBv4g7+fW00wZ9op+RkcEbb7zBDTfcQFtbG3l5eYn1LS0tLFu2jPnz539r490dr732Grfeeiu33347Ho+H0aNHs2DBAs4///zENnGb9j3t13rEEUfwzDPP8K9//Quv14vb7WbSpEk8//zzXHTRRWk/s2jRIl577TW+/vrrpOWXX345O3bs4KabbiIWi3H22Wdz6623AnpUatiwYRx66KFp9zlt2jTKyspwOBwcd9xxe3Qu3ycGLKYee+wxrr/+ev74xz+muPYddNBBbNu2bZ8N7rtI9zSsJDOCriadcROCtbXeRNRIAAoybPt0ElJR4Gbk4AwsJoGokvzmW0OjJMeRMKIoyLDhsplRVImYort9bWnq5KmPdyTe7PecpILuCBafmOa7bdjMehpcnDV13gE3H013HieNL+SZT6swiyJRSSIkyXSGJZSuQ8WPqGjQHojx9tqGfT7Zj7sGVrYEibcMa/JHUlLrxg/JZkODHwG9/qwj2Pub+oRQrOkgElO60sN0S/hBmdakJsu7o79CoTcqWwOsqGqntTNGQYaNaeW5iWf2d29sYHVNByU5jm+0Lm1f0VsqZF9CayD72ZcIgsCYIbmcMXUErRGRQFQmFJXpjCqYgHiSo90EXzd2stOzLSV9dMKECfz5z39OPIsAL62sZXlVO6GowpAcO4MzHZw+uZinl1WxvSWQ+N3jsolk5aV/kzlx4kSWLl3aL2OTFm+A/zuyfK9r+QwMDH443HDDDdxwww1p19lsNvx+f+LnUaNGcd9997Fz505cLhcXX3wxiqIwbty4b2u4u8XtdvPII4/wyCOP9LrNjBkz+p2NkM54bd68eSlpkbvjuOOOIxAIpCw3mUzMnz8/rSB99dVX+3TiW7duHdXV1Tz++ONp1995553ceeedAxrnd5kBi6kdO3Ywe/bstOsyMjISLiQGqfUxtZ4QU8tyKcy0c++7m4hKIaxmgSynlZMnFH0DkxANi1kk2k30ioCsaHy8tRWXTTeiOG9KKaOLMllX60UQVDQg3607sXUXAj0nl90nprWeEE6riLebn0Awquw2za2/WM0mjjkom1U7OwjHZL0WLO0ZQ2dY2uv6oZ5Utgb4dHubnl7YZWm/pakzKdXxiunDmTGqgP9tbKY1EMVkEhmS4+hV2MQn9y8s30mjN0yoyxLRahbJc/VukNDXvvorFHqe211vf826Wi8RSSXLYeHQshxuOFFP/jKLeg1QrSdMfobtG6lL+7ZIOFh2iY4DZeI/rTyXZVtbWVPnRVZT/9DKCkQlFbcNmnyRtOYw3dMbRxdlUt0e1Pt8hWVKcgQKM+2MG5LJTk+QmKwhClCW52ZaeV7K8QCysrKYPn36bsce/659n4TUP/7xD6644gpcLlfKJOSrr77it7/9LcuXL8dsNjNr1iweeOCBtLUKjz76KI8//jhVVVUUFxdz6aWXcsstt+zW7tnAwCCZk046iVNOOYUJEyZQUlLCcccdR1NTU1oHOYO9Z+PGjWmXV1ZWsnPnTm655RaKioq49NJLv92BHaAMWExlZWXR3Nycdl11dXVSPquBTs+JzqTSbFw2MyYBAlEFUZRTUsb2BdPK8yjLc7GxwZ8QHt0FyKHDcghLuinFyeOLqGoNooUlQjGFT7e3c9jw3D4jHN1rtF5aWZtk+w4gK2qKScOe0D3qMjTXSVRWWVfrS9lOAMwiDMl17pP6oe6sqPLQ0hlFENBTM7sERs/UuhmjBnH3WeN5e00D/qjEhCHZfe63osDNsSML+HBjMxFZRdSgwG2lcw8MPPY0krKiysPX9T5CMQVF1ZBVNTFh1zTdoOSEMYP5utHPmQcPOSCjUv0Vz92/ixZR4JiRBYko3P4k7oz53vpGPtrYzNq65JcFGhCR9fTbEYPcKd/Lnmmek4dmM7EkmxpPiCE5AieNL0xEq6Jyl1gTwGHt2wVrd+yrWr0Difr6en79619TXFyMz5f8e2bz5s3MmDGDyZMn89JLLxGJRLj99ts55phjWLNmTVK9wj333MPvfvc7brrpJk488URWrlzJbbfdRn19PX//+9+/7dMyMPhOI4piry1yDL49/vCHP/D8888zZswYXn75ZZzOvXej/j4wYDF13HHH8cc//pEzzjgj4QIlCAKyLPPXv/6116jVD5meLn8Oq4lAVCLUFeUIR2XWfwOpUxUFbn49exR3vvk1NZ5QYnJmMQlowPaWABNLsinJcdDgDdEWiBKWVETAYhaYPrKgXxOjuPGCw2IiEJFRND0CZjWLKSYNe3oe3aMu765rSBuVspoFsh1WcpxW6jp8e10/lIyGSRQQ0EWb1SwycrCbcExJSa0rzXXSGozydb2PdbU+Njf5U1z9ejI010mu08L6ej8728M0eiOsre3g2JHpU7D2Lfq5WUTdNCUiKbjt5sT5xPtFTS3L5ZQJB17PiHQT+lpPiHV1PiaWJNd3xb+LDrPIp5VtVLcHWVvrPWBEwKYGP82BKFazQEROjVA5LCZc1tRf2z3TPKeW5TK1LDcpctzoj6Bp+vPblVFKsz+6V9+PfVWrdyBx5ZVXMn36dHJzc3nllVeS1t1+++3YbDbeeeedhGHKoYceykEHHcQDDzzA/fffD0B7ezt33303V1xxRaLv2IwZM5Akidtuu41f/vKXjB079ts9MYPvJYLFTu4JV6YsMzD4JjAEbXoGLKZ+//vfM3XqVMaOHctZZ52FIAg89thjrF69mpqaGl566aVvYpzfabqbKDT59KLumKxPYO0WEUnRa2u+CWaMGsTcQ338bel2orKKqurpd3aLiEnU31hXFLh5d10jJkHALOgug6Go0u9oWWmuk6JMOzvbg4leUxpgs6SaNOwp3aNgy7a10TUXTGAS4JDSHARRYFCmjTzvntcPpWNaeR4V+W42NvnJtJkpzHJQnO1kWnleSmrdu+saWb3Ti6SomEWF6rZgn5PM0lwnQ3OdLNnSkjinqKLxr8+qmViS/Y1HgqaV5zFlWC6bmzvpCMTIdVtx2/RfDXuTPvht0XNC/976Rl7/qp7OiEyGXT+P+DUszXViEQU+qWwjFFWIygo1ntABIQJqPSGq2oPEJAVRELCb6YoU6gLIJMLIwW68Yan3HmQ97lP3beLfUQ0Soiomq/3O30/H3tbqHWi88MILLF26lI0bN3LbbbclrZNlmXfeeYeLL744yXly2LBhzJw5k9dffz0hphYuXEgkEkmpbZg3bx633norb7zxhiGmDPYJosVGxiGn7u9hGBj8oBlwjseIESP49NNPGTNmDE888QSapvHcc8+Rn5/PsmXLfvBe8+mIT3RGFWZgs4hUFLjIdVnJdpoRRd1ie/o3GIGYWJKF225J6n9jt5jwBGMJ++2CDCuiKKDEJ1mKwltrG6hsTS1a7Ek8RemMyUMozLKR4zCT67IwKMO+zxu2vbuukW3NAcQeu810WBBEgaG5TqaW5XLF9OFcdPiwfRZxqChwc/WsEUwZlkNhloNMhxlN0xJpet1r45ZtayEck4nKKhFZw2XTt12ypSXt9YybbNgsyV9HT1DiwQ+29Ose7O253TB7FGcdPIQxxZnMmVCUaNocXx+PbnzTY9kTek7o2wMxOiMyZXkOOiO6YUacigI3x4wsoDBTd53zhxUsJmG/ioDK1gBLtrTQ6AvTGZbxhWUisorVJHallOqRYqvFxNbmAE2+9Hbqfd2n+D2ed1Q5xVk2rGaBPLelq13Dnn9H47/b9uV3bX/R0tLCL3/5S+bPn09JSUnK+srKSsLhMBMnTkxZN3HiRLZv355wQNywYQOgm4N0p6ioiPz8/MT6dESjUfx+f9I/AwMDA4MDlz3qMzV27FgWLlxINBqlvb2dnJwcHI7v9hvJb4NmXwRfWOKjzS1MKs3mvKkltAdijP8WrKYrCtwMzpDY1OhH0SAsKZi6uobrfal8ZDksBKMyoqBHzj7a1ExEUnabohbf/0WHD6PZF0k0rS3Ld+3TSWpCqEgKZpOAKmvYLSIFmTZmjhrM6KKMJAvrfT2xi9+jxxdvo7I1yL3vbqLRF06yf6/1hAhEFP3tP6BqunPiwg1Nu60rGZLtpD0QIxDdVXvmSxOF+CaoKHBzyoQi6jvCKVGG7o2TLSY9mlmU5dhn5h57S8+oTK0nxMdbW6luD5NhN6cYZsR7acXrieYdVb7fzqN7imJMVhiUacMs6mYfnVH9OTKh934T0XA7TWQ7LWkF0O7qlyoK3EwYksXn+W5ynDFaOmNkOsx7/R39NlwPvw2uuuoqRo0axc9//vO069vb9V58ubmpLpu5ublomkZHRwdFRUW0t7djs9lwuVxpt43vKx333Xcfd92Vvsm1gYGBgcGBx15VH9tsNoqLiw0h1Q9qPSEkVeO4UYMYlGln+sgCLpg2jF/MOugbF1KluU6yHRZ2ekLIKqDp6T1ZDjOaphsQtAdjzBhZgNtuQRRF7BYRl82cMCLoD/G33xdMG8r/b+++w6K4vj6Af2dZWMrSi4DSggoaRaNiL2DvvXesiSZqLBHFAnaNJpaYqIkRE0tij7H+LBDzWjE2sItSFFB6W+ruff8gO2FZQBaB3YXzeR6fhJnZ2TPD7DJn7r3ndv/YFsNbOFToTVZ0kgS6OjpwMDeAUKADE0MhjA10kZiei0tP3uLKs/gKe6+SxKZmITw+E7EpWXj+LgMbzj1F8NN3/HoHC0NIZTLIq9HLGHD1eSKikiRoYGvMV0gsSt7Vz8HcELoCQMAVjG2rZVJ18/aU1MoQnSRBVJIEqZJcPHidii0Xn2PXlZf48cpLjWmpKtxC6OVmg2X9GmJCWycs69dQ6fMlP87+Te3Rs5EdHCzUN4C2cBfFPClDenYeopOzIEVBMs6hoOQ/kwH6ejpIkuQhPTsPQU/eKVx3Rff1vutMT6gDW1MR3823pjt69Cj+/PNP/Pjjj+9tqSttfeF1Zd2uqEWLFiE1NZX/Fx0dXWo8hJDSLVmyBI6OjhAKhTAzMwNQMIaxuIlyi4qIiADHcVo/TuhDj2PNmjU4ceJEhcZUmTiOq9LS7OVqmYqIiMChQ4cQGRmJrCzFP9gcx2H37t0VElx1Iu+KFJeeA7daxirNIfSh5F2bwt6kIk/KkJcvhUDAgQOHy0/eQVfAISdfirDYNDiY6yMjW4r0nDwAgK2p6jfzb5KzkJiZi3NhcRXaeiG/EQQAAz0dSHKliEnJQlaeDJKkLEgqsBR7yThk50n5ZCk9Ox9XnsXzN+yu1mK0rWuNl/GZkNcPyMzJQ55UVuq4ksKtK/ejk3HqfgxkDLAWV23Z1+JaGRwsDKGrwyE2NRtCAZCRkw+ZTKYxY42K4+Vm896HFPKy9uosQFG0UiUAvIzPhEgHyJH+Ny5QwAGpkjzIALx4l4nY1Gz+4UHh48zNl+J2ZDIcLQxLvM56NrJFbGoW8qQM96NT0dLlw+aC03YZGRmYOXMmvvjiC9jb2/PTe+TmFoxjTUlJga6uLj9haHGtSklJSeA4jr9Rs7S0RHZ2NiQSiVK1q6SkpBInwgQKHlJSuWdCKsYff/yB1atXw8/PD7169eI/W99//72aI6tadnZ2uH79OlxdXcv1+jVr1mDo0KEYOHBgxQZWTaicTJ0+fRqDBw+GVCqFjY2N0pd+RY+RqS7UPZC/YB4bU/z9PB45DBByHFKz8mBrIkJ4fCbypDLk5EmRlp0Pa7EIYgMd1K9lgv5N7FWKtTKrexU+hzEpEuz86yWy/50kWAYgO09a+g4qQEsXC9Q2M8CLd5n/thwwFB29Mq6NE66+iMfL+Ezo6nAQ6+uiY31rvnJiSedDnsgwxnDjZRKsxHpIyCh50t8PVdZy4vIb8Kdx6UjLykNOvgxhMWmwMdb/oOIF6hIen4HTD2IRlSRBCydztVahK3xNM8bwx703AAoSKaCgsIqeUICcPBlfwZKhYEoFHUEOP4FyeHwGzoXFIU/K+K6YpR2PnlAHTepUnwp8HyIhIQFv377Fpk2bsGnTJqX15ubmGDBgAI4cOQIDAwOEhoYqbRMaGoq6devyFW7lY6VCQ0PRqlUrfru4uDgkJCSgUaNGlXQ0hJDC5OMTZ82apTB1T00rACMSidC6dWt1h6FAKpUiPz+/Wjw8Urmbn5+fH9q1a4eYmBjExMTg1atXCv9evnxZGXFqPU2Y2NLGRMTf+HMA8mUyPIxJg64OB10dAeraiJGZk493aVl4/jYDtyOScC4sTqWuXJVd3Us+yP5+dCoERRJ3XWHFVQ8s7f0ntXeBWKQD+buHvUlROEeu1mL49WmIZk7m+MhajObO5ujd2E6hUEVpYlOz8DI+A//3PKHEYgMfSj6+Zv/NqGK768mLIsiX25kawM7UAEYiITgUdEHkAL6AibaQH/eNl4mIS83G7chktVehk1/T58LiEJEogYGeDgyEBVdXwfhGWfETVDPw48HkDzFaOJlDT6hT6kOtyviMFr1etImtrS2CgoKU/vXo0QP6+voICgrCqlWrIBQK0a9fPxw7dgzp6en866OiohAUFITBgwfzy3r27Al9fX2lLjWBgYHgOI6e7pIKI5WkInrraIV/UonyPIya4MmTJxg1ahRq1aoFkUgER0dHjB8/Hjk5/81HGRYWhgEDBsDc3Bz6+vpo2rQp9u7dq7Cf4OBgcByHgwcPws/PD/b29jAxMUHXrl3x9OlTfjtnZ2e+KmetWrUUun4V180vJiYGw4cPh7GxMUxNTTFixAjExcUVeyy3b99G//79YWFhAX19fXzyySdK1azln/egoCB89tlnsLKygqWlJQYPHoyYmBilfR44cABt2rSBWCyGWCxG06ZNlXp6Xbx4EV26dIGJiQkMDQ3Rrl07XLp0qfQTj+K7+fn7+4PjODx8+BCjRo2CqakpatWqhUmTJinMscdxHDIzM7F3715wHAeO4xTOXVxcHKZPn446depAT08PLi4uCAgIQH5+vtL7b9iwAatWrYKLiwtEIhEOHToEPT09LF26VCnmJ0+egOM4bN26FQAQHx+PGTNmoGHDhhCLxbCxsUHnzp3x999/v/f4K5vKLVPPnz/HsWPHaHJeFah7Ykv5+4dEJCEnT1rwpDtfBhtjfQz3dICtiT7OhcXhaVw6JDl5SJYUvO5Nchbuv05R6cl1VbTAyW8cG9U2QVxqQTdTPaEA9qYVXz2weByMRELkSmXgwOFlfKZS90IvNxs4WBiqfB7kLQy5+TKIRSUXG/hQpbUgFne9OlgYwsRAiMy4gi/HtKx8CDgBrjyLVyj6oekKJx23I5PR1tUSvRrbqT1+/pq2M0FkYiayGYNIyEEqK2hpys3/bxyeXCsXC4WS72VNkCr6M6ru77cPpa+vX+zYicDAQOjo6CisCwgIgKenJ/r27QtfX19+0l4rKyvMmzeP387CwgJLlizB0qVLYWFhwU/a6+/vjylTptS4p+KkcsmyNL/i4/3799G+fXtYWVlhxYoVqFevHmJjY3Hy5Enk5uZCJBLh6dOnaNu2LWxsbLB161ZYWlpi3759mDhxIt6+fYuvvvpKYZ+LFy9Gu3bt8NNPPyEtLQ0LFy5Ev3798PjxY+jo6OD48ePYvn07du/ejXPnzsHU1LTYSp0AkJWVha5duyImJgZr165F/fr1cfr0aYwYMUJp26CgIPTs2ROtWrXCjh07YGpqit9++w0jRoyARCLBxIkTFbafMmUK+vTpgwMHDiA6OhoLFizA2LFjcfnyZX6bZcuWYeXKlRg8eDDmzZsHU1NThIWFITIykt9m3759GD9+PAYMGIC9e/dCV1cXO3fuRI8ePXD+/Hl06dKlXL+bIUOGYMSIEZg8eTJCQ0OxaNEiAMDPP/8MALh+/To6d+4Mb29vPumRTw8RFxeHli1bQiAQYNmyZXB1dcX169exatUqREREYM+ePQrvtXXrVtSvXx8bN26EiYkJ6tWrh759+2Lv3r0ICAiAQPBfG8+ePXugp6eHMWPGACjoIg0Ay5cvh62tLTIyMnD8+HF4eXnh0qVL7x0D5+zsDKAgsatoKidTTk5OyMjQvqeP6qTuiS3l7+9kbohX8ZnIkxVMzCs2EPI3wg4WhjgTGouX8RnIkRbcMMsYkJUrVfnJdUVV9yqpG5r8xjEqSQILIxFypTLo6nAVXj2wpJj+fhaPrDwp8qQM+kIOQoFAaRt53KpOuhudJEGelMHOVB/v0nNhrP/h1daKU9rNd3HXa6f61nCxMsL/PU/gb+qtxLp8CXVtuXkuOkZJExKpwnHFpeegkb0pkiS5iEnJQnauFAZ6OjAx0EV61r8TfQMQi3SQkpWH4Kfv4OVmo3KCVJEV+NT9/VaV3N3dERwcjIULF2Lo0KEQCoXo3LkzNm7cCGtrxc+6n58fjI2NsX37dmzcuBG2trbw9fWFn5+fmqInRH3mzp0LoVCIW7duKXxW5DfKQEFLSW5uLoKCguDg4AAA6N27N1JSUhAQEIDp06fD1PS/6qwNGzbEvn37+J91dHQwfPhwhISEoHXr1vjkk0/45Kl58+awsrIqMb69e/fi8ePH+OOPP9C/f38AQPfu3ZGVlYUff/xRYdsZM2bg448/xuXLlyEUFtxG9+jRAwkJCVi8eDHGjx+vkBT07NmTb10BCpKCr776CnFxcbC1tcWrV6+wZs0ajBkzRuF4unXrxv+/RCLB7Nmz0bdvXxw/fpxf3rt3bzRr1gyLFy/GzZs3Szy+0kyePBkLFiwAAHTt2hUvXrzAzz//jN27d4PjOLRu3RoCgQDW1tZKXQX9/f2RnJyMhw8f8lMjdenSBQYGBpg/fz4WLFig8PBIX18f58+fh66uLr/Mx8cHx48fx6VLl/hjlkql2LdvH/r168ePV3Vzc1MY6yaVStGjRw9ERERg69at702m5L+ryqDynhcvXoyNGzeiV69eSgNrSfHUPbGl/P2fvk2HoUgHAo6Dga4AejoC/sZHXjZZqKPYCmJvpp6Z1Et72l10nIm8q1lVtJBEJ0mQkpUHd1tjPIpJg7mRHhrVNuULihSOW1fAwd3OBNbGIrR0KVts8iIbUQCsjEWVVra7tJvvkq7X1Kz8gi5+AiBPBkQlZcHVxlgjJ2otLhGXL+vZyBYcx2nUJMRFfx8AEBKRhPj0HFgbi2Broo+4tGzcepWE+9EFUw9EJEiw5+or/hjVVaJc3d9vlSUwMLDYylfNmzfHxYsXy7SPWbNmYdasWRUcGSHaRSKR4K+//sLkyZOVHjoUdvnyZXTp0oVPpOQmTpyIs2fP4vr16+jZsye/XJ70yMnngIuMjFR5fFBQUBCMjY2V9jl69GiFZOrFixd48uQJNm7cCAAKXdl69+6NU6dO4enTp2jQoEGZ4rS1tcWFCxcglUoxc+bMEuO7du0akpKSMGHCBIX3BAqStQ0bNiAzM7PY6Rjep7j4srOz8e7dO9SqVavU1546dQre3t6wt7dXiKtXr16YP38+/vrrL4Vkqn///gqJlHxbW1tb7Nmzh0+mzp8/j5iYGEyaNElh2x07dmDXrl149OiRQvdQd3f39x7nixcv3rtNeamcTN26dQvv3r1D3bp14e3tzWeMchzHYcuWLRUWYHWg7uIT8vcPiUjCmdBYPIlNQ76MQVxMq0ctE31k5uQjO7+gsMKdyBSs+PMhlvX7WC2taSU97VbXjaN8PFNWrhQ6Ag5utsYKJeDlcdsai3D+URxuvkqEvq4OmjiYlXm+rqq6Vko6hyXF0NLFHOfCYpH1b+uIkUiIjmUcB1aVikvEASjMlaXOuaUKK5r0Fb3GC28HAP2b2CMxIwehr1MhFukgPj0HZ0Jj0VuNLWzq/n4jhGi25ORkSKXSErvYySUmJsLOzk5pub29Pb++sKL3n/JCBkWrTJdFYmJisYmDra2tws9v374FAMyfPx/z588vdl8JCQkqxRkfX1CZtbTzI3/foUOHlrhNUlJSuZKpDzmPb9++xZ9//qmUIMkVPRfF/X6FQiHGjRuHbdu2ISUlBWZmZggMDISdnR169OjBb/fNN99g3rx5+PTTT7Fy5UpYWVlBR0cHS5cuxePHj98ba2VSOZn67rvv+P8/ePCg0npKpoqn7okt5e9va6KP7UEvkJmTD7FI+deflJmL3H/7cQk4QMZkeJOcpVLXnbJWiSuNJj7tlo9nkuRKkSeVIV/KcCcyBbo6Av5Y5XGHxaYhJ18GXZ2Cpn75fF1lOR/qvlZKimFUSyfcepWEk/diwABIcqUaWc2vuEQ8JiULD16nIDdfhtSsfIUWHXUpqfW16OcnPD4Dm84/RWxaNoxFQugJBciXMSRJ8pAsKZhz6k1yllrHKmnCNUsI0UwWFhbQ0dHB69evS93O0tISsbGxSsvlxRpK66b3oSwtLXHr1i2l5UULUMhjWLRokULRmcLc3NxUem95a93r16+VWuWKvu+2bdtKbHV7XytSZbCysoKHhwdWr15d7Hp5IixX0hhwHx8ffP311/zYs5MnT2LOnDnQ0dHht9m3bx+8vLzwww8/KLy2cEEgdVE5mZLJiqsrRQqriGSiMpkZ6qHNR5bFtvjYmRpAKpMhPiMPBffJHMxVSGYqajC6Jj7tlo9nMjPQxZuULHAcB6lUhoiETIXuklM7foQzobGISclCiiQPEgGHujZijUgIP5SpgR50BByEAg75Uhmev9W88ZOFE3FdAYf70Sm4HZmEuLRsSHKkqG2urxFjvYpL+gAofX5uvUrEvdcpEAB4mJ4NjhNAJpNBrK8LqYzBwdyAn6RXEz4nhBBSmIGBATp16oTDhw9j9erVJSZFXbp0wfHjxxETE6NwE/7LL7/A0NCwUkt7e3t749ChQzh58qRCt7cDBw4obOfm5oZ69erh/v37WLNmTYW8d/fu3aGjo4MffvgBbdq0KXabdu3awczMDI8ePcLnn39eIe+rCpFIVGxLVd++fXHmzBm4urrC3Ny83Ptv0KABWrVqhT179kAqlSInJwc+Pj4K23Acp1RG/cGDB7h+/XqJSWhVqbzRWDWUple2Kq3Fx8HCEG62xgAAPZ0sZOXLIBIKYKCrU9LulFTEYPQPKeBQmeTjmZIzc8FxQL6MITU7H1xqNmJSJPx28vFnrtZi6AsFiE3L1phCBx/KwkgXOgIO4AAdQUGirWkKd2u98iweQU/f4V1aNprWMcP91ykQCXVKnNS2KhX3WSw+wSooQ5+VJ0WuFOD+LZSelpUHI5EQz95lwMWy8ouvEEJIeX3zzTdo3749WrVqBV9fX9StWxdv377FyZMnsXPnThgbG2P58uX8GJxly5bBwsIC+/fvx+nTp7FhwwaF4hMVbfz48fj2228xfvx4rF69GvXq1cOZM2dw/vx5pW137tyJXr16oUePHpg4cSJq166NpKQkPH78GHfu3MHhw4dVem9nZ2csXrwYK1euRFZWFl+m/NGjR0hISEBAQADEYjG2bduGCRMmICkpCUOHDoWNjQ3i4+Nx//59xMfHK7XYVKTGjRsjODgYf/75J+zs7GBsbAw3NzesWLECFy5cQNu2bTFr1iy4ubkhOzsbEREROHPmDHbs2PHe7p1ykyZNwvTp0xETE4O2bdsqtfD17dsXK1euxPLly9GpUyc8ffoUK1asgIuLi9I4suLUrVsXQOWMnSp3MnX+/HkEBwcjISEBS5cuhaOjI0JCQuDs7FzqAMPqTtMrW5XW4iOfnDU2NQup2UIkZkog4HTxJC5dqfR3ST60e17hLk12JvqY1+P944yqivzc7bsRidfJEmTlSiFlQE6+DOfC4tDSxZKP1cHCEGYGuohNy4aLpRFfoELb9fGwx5Vn8YhMzISZoR4a1668P24fwtVazLckNrIzwaW0bKRk5aGViyU6ullrRDn3kj6LRT8/dcwN0MTBDHcikwGAnyuuYA4qKXLzZUBVzAhACCHl1KRJE9y6dQvLly/HokWLkJ6eDltbW3Tu3Bl6egUP5dzc3HDt2jUsXrwYM2fORFZWFho0aIA9e/YolRuvaIaGhrh8+TJmz54NX19fcByH7t2747fffkPbtm0VtvX29satW7ewevVqzJkzB8nJybC0tETDhg0xfPjwcr2/vFz8tm3bMGbMGAiFQtSrV0+hgM3YsWPh6OiIDRs2YPr06UhPT4eNjQ2aNm1a6edny5YtmDlzJkaOHAmJRIJOnTohODgYdnZ2uH37NlauXImvv/4ar1+/hrGxMVxcXNCzZ0+VWqtGjhyJOXPm4PXr11i+fLnSej8/P0gkEuzevRsbNmxAw4YNsWPHDhw/fhzBwcHv3X9ZEq7y4piKgx4kEgkGDBiAS5cu8X0fQ0JC0KxZM4wYMQIODg58lRNtkpaWBlNTU6SmpvL188tD01um3if46TvsvxmF9Kxc3IpIhg4HCAQCjG7liOX9Pi7TPsLjM8rdPe/grUhsu/wC+kIBsvNlmNWlHkZ6OpbnUCrNwVtR2Hj+CdKy8pAvA2xNRHCxFmN6J1e+JS08PgOb/vcUcanZsDXVL1PxicI0tatoeHwGAv58iIdvUiEUCOBmZ4xejezKXK2wKhWtrKgpSdT7FPf5CY/PwPagF/jz3hvk/dvTmgPAcUA9GyMYinQxwtNB4z4rZVVR37/VEZ2bmsHZ93S5XieVpOL1tjEKy+p8sR86hlX3oCtiXZ8qey9CqlJZv39Vbpny8/PD7du3cfToUXTr1k1h5927d8e2bdvKF3E1oYljfVS5MZe3LL1OlqCgSjoHGWMIe5OK8PiMKiigUNCliTFNftjOwHEFN7JCAQdDkVCp21h0kgQpkjzUMTdAQoZq41k0OSGPTpIgPTsfpga6yMjJx93IZCSk5+B+dIpGxQlo5mexLAp/fgp/dj2dzRH89B2fxDMUfE7C4zMhFuniTGisViSLhBBCSHWicjJ1+PBhrFy5EoMGDYJUKlVY5+joiKioqAoLTltpUmUrVW/MCxdQ+Dk1G6lZedDTESAzJ79Kuiy2dLFAEwczvkVH07rHySv65eYz6P5bZcZQTwc9G9kqnZu41Gw8jk2DSChQGFP1PprcVdTBwhB2Jvp4kyxBqiQPAJCTL0VUkkSj4pTTpM+iqop+dns2skVrF0vcikhCcmYudHU46HAcsvNlEOpwePEuo8zdcQkhhBBSMQTv30RRfHw8Pv64+O5eAoGgXPX9SeUpfGMur/j1PvICChZGehAKOOTmy/AuPadKymC7Wosxr7sbZnetr3LXuKpQuKJfnlQGSyNdGOvrFlvu09RAF8b6QuT+O6ZKPlfQ+2hiWXg5V2sx5vVwQx8Pe9iY6MPEQIi3aTnIk0o1Ks7qoOhnl+M4dKhvBTAGDkBuPoMMgK6OACKhQINbcgkhhJDqS+WWqdq1ayM0NBTe3t5K6x48eAAXF5cKCYxUjA+5MU+V5CFPWnDjlpWTj/03IwEAXm42lRRtAU1uTZBX9MvKlSJXKoOVsX6xleEcLAxhYiDE6+Qs2JqqVopb07unuVqLwRhDQkYOcvNlEAo4aHKnTG1V3Gf3fnQKpAwQ6wuRnp0PY5EObEwMkJVXkMxqWksuIYQQUt2pnEwNHjwYq1evRocOHeDh4QGgoPZ7ZGQkvv32W6W68ES9PuTG3EBXp2A+IRlDZp4MV57F43FsOlYNbFTpCZWmKnw+GWPgOK7Y8+pqLYZPOxfsufoKeVKmciluTU4oD96KxO8h0cj6txKCWE8HUpn6522qbor77HrUMYVIKEBSZi5EQgEYgNx8KfSEAkhypIhOktDvgBBCCKlCKnfzW758Oezt7dGyZUu0aNECHMfBx8cHjRo1go2NDXx9fSsjTvIBXK3F6FTfWqWbrAevU5CUmYs8GeNLMeflM7xLy8aVZ/GVE6iWkJ9PLzebUs+rl5sNlvX7GNM7uWpccYYPcetVMvKlMsinH8vJk8HWVF9juvmFx2cg+Om7Mner1BTFxV30s+vlZoPZXevBWqyHnHwZEjPz8CohE5k5+YhIlGDP1Vdad9yEkPLjhCKYthul8I8Tit7/Qg2Sl5eHgIAAODs7QyQSwd3dXeViZv/3f/+H3r17w9zcHAYGBqhXrx5WrlypsM3WrVvRunVrWFlZQSQSwdHRESNHjsTDhw/L9B5r1qzBiRMnVIrrQ925cwddu3aFWCyGmZkZBg8ejJcvX773dWlpaVi9ejW8vLxga2sLsViMxo0bY/369cjOzi72NWFhYRg2bBisra0hEong7OyMGTNmvPe9oqOj0bt3b5iYmKBBgwb4448/lLY5fPgwLC0tER9f8v3jgwcPwHEc7t69+9731DQqt0wZGxvj2rVr2LJlC06fPg1XV1cYGhpi0aJFmDNnDgwMNOOGiqhOXjksNjULB25GQZKnWGBEhoIKYpo4Uau6vK9Soia3MJVXSxdz/C8sFpI8GTgAtUz0MbyFg0YcZ1kLrmha6XlVCsW0dLEE8BxSVvA0LI8BsalZMDPQw7u0HGohJKQGEejpw6z9mPdvqMFmzJiBX3/9FStXroSnpyfOnz+P2bNnIz09HYsXL37v6w8cOIBx48Zh+PDh+OWXXyAWixEeHo6YmBiF7RITE9GrVy80adIE5ubmePnyJdatW4dWrVrhn3/+UZoktqg1a9Zg6NChGDhw4Iccbpk9efIEXl5eaNq0KQ4dOoTs7GwsW7YMHTp0wL1790qd0zUqKgqbN2/GuHHjMHfuXIjFYvz999/w9/fHhQsXcOHCBYWx3kFBQejTpw86dOiAHTt2wMrKClFRUWVKbCZMmICcnBwcOXIEwcHBGD58OB49egRXV1cAQGpqKmbPno2NGzeWGvPRo0fh4uKCTz75RIWzpBnKNWmvgYEBfH19qRWqGil8MxeXmoWsXCn0dQV8Vy45G2MReje2U1OUmkWTS5hXplEtnfA0Lh3nH75FA1sxdHR0ii3AoQ5lqYSoib83VSo43nqVhNTsgskHZQA/lUCKJA/ZeVKVKkcSQog6PXz4ELt378bq1auxYMECAICXlxcSExOxatUqfPrpp7CwKHks6Js3bzBt2jRMnz4d33//Pb+8uHH9AQEBCj936tQJrVu3RsOGDbF//36sWLGigo6qYixbtgwikQinTp3ipyFq3rw56tWrh40bN2L9+vUlvtbFxQUREREwMjLil3Xu3BlGRkZYsGABrl69ivbt2wMomD92zJgx6Ny5M/7880+Fv+fjxo0rNUaJRILg4GBcvXoVbdq0Qffu3XHkyBFcuHCBT6YWLlwINze39w4DOnLkCIYMGVL6SSmDvLw8cBwHobBcKU65qNzNj1RPhW/mhAIBDPR0lEoKCECtUoWVp1JidTGujTM61beGjo6ORlUcLEvBFU38valWKIbBUE8H+kIOAg4Qi3SgJ9SBtbEeBAIOiRm5VRY3IYR8iBMnToAxpnSj7ePjg6ysLJw7d67U1//000/IzMzEwoULy/X+8paS9914cxyHzMxM7N27FxzHgeM4eHl58evDwsIwYMAAmJubQ19fH02bNsXevXvLFRMA5Ofn49SpUxgyZIjCfK5OTk7w9vbG8ePHS329kZGRQiIl17JlSwAFXfPkDh8+jNjYWCxYsEDlB6O5ublgjCm8l1gs5rsSXrt2Db/88gt27txZ6n6ePHmCR48eYciQIWCMoV69eujRo4fSdhkZGTA1NcXMmTMBAMHBweA4Dr/++ivmzZuH2rVrQyQS4cWLFyodx4eiZIoAULyZc7M1xuyu9TCypSMa1TaGkZ4AQgGH2ub6MNHX1YibT01Q0g2wto7ZUYW8OEKXBjawNzPArVdJGnG88rjGtnYqscVJE0vPlyVuuZYulmjhZAErY32IRUIYioTIzZciPj0XMhmDpZgeeBBCtENYWBisra1ha2ursFxe4CwsLKzU11+5cgUWFhZ48uQJmjZtCqFQCBsbG3z66adIS0sr9jVSqRQ5OTl48uQJpkyZAhsbm/e2mly/fh0GBgbo3bs3rl+/juvXr/MtYU+fPkXbtm3x8OFDbN26FceOHUPDhg0xceJEbNiwoaynQkF4eDiysrL481CYh4cHXrx4UeLYp9JcvnwZABSmOLpy5QqAgvPSvn176OnpwdzcHKNGjVLqKlmUmZkZ3N3dsWnTJiQnJ+PEiRO4f/8+2rZti7y8PEybNg2LFi1C/fr1S93P0aNHUbt2bbRq1Qocx+GLL77AhQsX8Pz5c4XtfvnlF6SlpfHJlNyiRYsQFRWFHTt24M8//4SNTdUWSau6NjCi0Uqq+hcen4EzobG48iweujoClavSVXdNHEzBcRw8nS3gai3WyC5klenoP9F4EpsOPaEOWn1koRFzg71vnJqmlp4v6/g6V2sxhns6IDpZgrSsPMhkMujpCOBkYQh9PSHszQyrIFpCCPlwiYmJxXbjMzIygp6eHhITE0t9/Zs3byCRSDBs2DAsWrQImzdvRkhICJYvX46wsDD8/fffSq0tRkZGyMnJAQDUr18fwcHBcHBwKPV9WrduDYFAAGtra7Ru3Vphnb+/P3JzcxEUFMTvp3fv3khJSUFAQACmT58OU1PT956LwuTHXdy5sbCwAGMMycnJsLMr+7CLBw8eYMOGDRg0aJBCkvbmzRsAwJAhQzBt2jSsXLkSz549g5+fHzp16oT79+/D0LDkvyu7d+/GkCFDYGFhAYFAgCVLlqBly5ZYtWoVGGNlajU8cuQIBg8ezP+ufHx8sGTJEmzfvh2bN2/mt9u+fTu8vb3RsGFDhde7urri8OHDZT4XFY1apgivuKp/rtZifNG5HmZ610UbV0v0bGSrMTef6iRPmi4/ice9qBR+uSZ2IasM4fEZ+O7yc9yLSkVmrhQpklw8/XesjzYoT4VLTSMUCCDggOTMPOTLGCDg4GZrTA87CCEaJz8/X+EfY4xfV1rXsvd1O5PJZMjOzsbixYuxaNEieHl5YcGCBVi7di2uXr2KS5cuKb3m2rVruH79Ovbt2wdjY2N4e3uXuaJfcS5fvowuXbooJWQTJ06ERCLB9evXS42/8HmRShULf33IuSksIiICffv2hYODA3766SelGABgxIgRWL9+Pby9vTF9+nTs3r0bL168wIEDB0rdd9u2bREVFYUnT54gKSkJAQEBeP78OdasWYOdO3dCKBRi+fLlcHR0hK2tLT7//HOFVrWXL1/i3r17CuOljI2N4ePjg8DAQGRmZgIoOM+PHj3C559/rhRDRYy1+hCUTJFShcdn4OCtSOy5+gpBT97h0O1ojejOpW4lJU2a2IWsoskTydsRyciXMQi4gkIIOv/OuUUqn3xS6Hwpg0DAgQMglTF62EFIDSPNSkfMTzMU/kmz0tUdloKIiAjo6uoq/Pvrr78AAJaWlsW2PmVmZiI3N7fU4hPy1wNQGl/Tq1cvAAWlxYtq1qwZWrdujTFjxiAoKAiMsTJVDSxJYmJisS1E9vb2/PqSTJo0SeG8dOnSBcB/x1Xca5OSksBxHMzMzMoUX2RkJLy9vSEUCnHp0iWlc1rSOezRowc4jiv2HBalq6sLNzc3vgXu008/xbhx49C+fXvs2bMHe/bswaVLl3D37l38/fffWLt2Lf/aI0eOwMbGhi+IIffFF18gPT0d+/fvBwB89913qFOnDgYMGKD0/qq00FUG6uZHSiS/aQ55lYTXyRKYGeribVo2QiKSavwNW0lJk6Z2IatI0UkSRCVJYG+mj7dp2QDHYKgjRN8mdtXyeDWRq7UYPRvZ4nZkEnKlDByAd2nZiEtTvQ89IUSLMRnyEqOUlmkSe3t7hISEKCyTlyFv3LgxfvvtN8TFxSmMmwoNDQUANGrUqNR9e3h44MaNG0rL5S1fAkHpbQbGxsZwd3fHs2fP3n8gJbC0tERsbKzScvl4IysrqxJf6+/vr9DSYmxsDKCg25qBgQF/HgoLDQ1F3bp1oa+v/97YIiMj4eXlBcYYgoODUadOHaVtPDw88Ntvv5W4j/edw6ICAwPx6NEjHD16FABw9uxZDBs2DPXq1QMATJ48Gb/++itfXfHo0aMYOHAgdHR0FPZTt25d9OrVC9u3b0evXr1w8uRJBAQEKG0HqNZKVxnKlEypUi6S4zgsXbq03AFVR5o2p01ZyW+aJbn5yJUyJEvyYKxP+TdQetJUHeeWKiouNRvp2fkw1hdCX1cH+ro6eBKbjvD4jGp/7JpEfs/EAGTmShGfnqPWeAghpCg9PT20aNGi2HUDBgzAkiVLsHfvXoWxNYGBgTAwMEDPnj1L3feQIUOwa9cunD17VmF+ojNnzgCA0vimohISEhAaGop27dq99zhEIhGyspS7snfp0gXHjx9HTEwM3xoFFBRLMDQ0LDUGZ2dnODs7Ky0XCoXo168fjh07hg0bNvBJVlRUFIKCgvDll1++N96oqCh4eXlBKpUiODgYTk5OxW43aNAg+Pn54ezZsxg0aBC//OzZs2CMvfccFpaQkID58+fj+++/51vOGGN8Vz2goCKfPNmNjo5GSEiI0gTLcrNnz0b37t0xYcIE6OjoYOrUqWWOpSqV6c7Y399f4WeO4xT6u8qXyVEy9R9tLUgQHp+B2NQs5EllSM/OBwcgX1bwBNzW5P1PQ2qCmpA0lcTWVB+Na+shNCYNqZJciIQC3HudQq2WVYqDrlAAQZ4MDIC+UABrY5G6gyKEkDL7+OOPMXnyZCxfvhw6Ojrw9PTE//73P+zatQurVq1S6JK2YsUKrFixApcuXUKnTp0AAN27d0e/fv2wYsUKyGQytG7dGrdv30ZAQAD69u3Ldx1LTU1Ft27dMHr0aNSrVw8GBgZ49uwZtmzZgpycHCxfvvy9sTZu3BjBwcH4888/YWdnB2NjY7i5uWH58uU4deoUvL29sWzZMlhYWGD//v04ffo0NmzYoHLxCbmAgAB4enqib9++8PX15SfttbKywrx58xS2FQqF6NSpEz9G7N27d/D29kZsbCx2796Nd+/e4d27d/z2derU4Vup3N3dMXPmTHz//fcwNjZGr1698OzZMyxZsgSffPIJhg8fXuaY586di1atWim8pkePHpg3bx7atGkDsViMrVu3YsqUKQAKWqXMzMyKnRcMALp164aGDRsiKCgIY8eOrfIqfWVVpmRKPjgNAJ4/f45evXph8uTJGD16NGxtbREXF4f9+/fj559/xtmzZystWG2kymScmqJwAsgYg3zCKT2hADYm+mpvTgW0t7WvOnCwMISjhWHBAwJDPaRK8pCZkw8ozUxGKlNLFws0cTDDg+gUAEATBzN4Opc+voAQQjTN999/j9q1a2Pbtm2Ii4uDs7MztmzZgi+++EJhO5lMBqlUqvQw//fff0dAQAB27dqFgIAA2Nvb48svv1RIkPT19dGkSRPs2rUL0dHRyM7Ohq2tLby8vHD06FGl6nDF2bJlC2bOnImRI0dCIpGgU6dOCA4OhpubG65du4bFixdj5syZyMrKQoMGDbBnzx5MnDix3OfF3d0dwcHBWLhwIYYOHQqhUIjOnTtj48aN/PxYclKpVKF4xaNHj/Dy5UsAwNixY5X2vXz5coWGks2bN6NOnTr46aefsG3bNlhZWWHkyJFYs2YN9PTKNt3GpUuXcOzYMaViHpMnT8bLly/h6+uL3NxcDBkyBH5+fgAKkqn+/ftDV1e3xP0OHz5cqTukpuFY0avyPXr37o3WrVtj2bJlSusCAgJw48YNrUyo0tLSYGpqitTUVIUJ0j6UNrZMBT99h/03o9DA1hgXHr/F6yQJ8mUMUhlDEwczrBviodZj0MZzWt2Ex2fgdXIWYlIk2B4UjhRJLvR1dTC+jRM86phRkltFwuMzEBKRBAB8eX5tVFnfv9UBnZuawdn3dLleJ5Wk4vW2MQrL6nyxHzqG5WsNKY+IdX2q7L1I9REXF4fatWvjxIkT6NevX4nbtWjRAhzHKY27qwpl/f5VeQDM33//rdS8KNeuXTts3LhR1V1Wa9pYkKBwcQWxnhB6Qh3ogUEqAzpqQDlpbWztq27kXRyDn76DtVgEAQekSvJw4GYUbrxMgqOFISW5VaAmdzUlhBCivWxtbZVKwculpaUhLCwMp06dwj///IPjx49XcXSqUbk0ukgkwu3bt4tdd/v27TI3B9YU8u5o2pJIAf8lgGNbO2Fw89ow0NNBnoxBrC9E49pV97SrJNpcfjw8PgPBT99Vm/Ly8hLdqZI8AAwZOfmwFutV6zm2SPVy79499OnTB46OjjAwMICFhQXatGmDffv2KW17584ddO3aFWKxGGZmZhg8eDDflaaobdu2wd3dHSKRCC4uLggICEBeXl5lHw4hhGi9O3fuoF27dti1axeWL1+OgQMHqjukUqncMjVo0CAEBARALBZj9OjRMDc3R3JyMvbv348VK1ZgzJgx799JDaHN3dEKtzw4WhjCWqyH+IxcjRgvpY2tfYD2Xg/FjU8rvMzFyghXnycgnwE6HPDsXQaa1DHTuiSXxuDVTCkpKXBwcMCoUaNQu3ZtZGZmYv/+/Rg3bhwiIiKwZMkSAMCTJ0/g5eWFpk2b4tChQ/xg8A4dOuDevXsKYxhWr16NpUuXwtfXF927d0dISAiWLFmCN2/eYNeuXeo6VEII0Qrycu7aQuVk6ptvvkF4eDi++OILzJo1C0KhkJ/NumPHjvjmm28qI06tVB26oxUuNuBoYagxN8ja2L1JG6+H4hJAAPwyXQGHe9HJyP/3O0/KAAstShQB7U1yScXw8vKCl5eXwrK+ffvi1atX2LVrF59MLVu2DCKRCKdOneL7zjdv3hz16tXDxo0bsX79egAFk2yuWrUKU6dOxZo1a/j3yMvLw5IlSzBnzpwyDXYnhBCiHVTu5mdsbIzLly/jzJkzmD9/PsaPH48FCxbg7NmzCAoK4mvhE+3ujiZXuMufOm8yq0P3OG28HgongPKue4WXxaZlQ5JXZIJIDXmYVNZrprhjJMTKygpCYcHzxvz8fJw6dQpDhgxRGITs5OQEb29vhf78586dQ3Z2Nnx8fBT25+PjA8YYTpw4USXxE0IIqRrlnoG1Z8+e751MrabT1u5oRam7Fai6tBxo4/VQUgIoX2Znoo+M7DykSP4bCxL6JhUBfz7E8n4fqzX5Lus1o41JLql4MpkMMpkMycnJOHz4MM6fP4/vvvsOABAeHo6srCx4eHgovc7DwwMXLlxAdnY29PX1ERYWBqBgTprC7OzsYGVlxa8vSU5ODnJy/pt8OS0t7UMPjRBCSCUqdzJ1/vx5BAcHIyEhAUuXLoWjoyNCQkLg7OysVP++JlN3IlIdaGP3uJJo2/VQUgJYeNmv1yMRnSRBbj6DDEB6dj5uvUzCmdBYfNG5nlriVuWa0cYkl1S8GTNmYOfOnQAAPT09bN26FdOnTwdQ0HUPgMIEonIWFhZgjCE5ORl2dnZITEyESCSCkZFRsdvK91WStWvXIiAg4EMPhxBCSBVROZmSSCQYMGAALl26xBcj+Oyzz+Do6IiNGzfCwcGhxpdHp8HsFYtaDtSruASw8DIvN2ucuPsG2fkFrVMMQL6MITkzt6pD5al6zWhbkksq3uLFizFlyhS8e/cOf/75Jz7//HNkZmZi/vz5/DalFeApvK6s2xVn0aJFmDt3Lv9zWloaHBwcynIIhBBC1EDlZMrPzw+3b9/G0aNH0a1bN4X+4927d8e2bdsqNEBtU126pGkSajnQfIZ6AqRm/TdcylBPgI711ddCTdcMUZWjoyMcHR0BFExODxQkNhMmTIClpSUAFNuqlJSUBI7jYGZmBgCwtLREdnY2JBIJDA0NlbZt3rx5qXGIRCKIRKIPPRxCCCFVROVk6vDhw1i5ciUGDRqkNNmWo6MjoqKiKiw4bSTvXmRrLEJYbBpCIpLoRq4CUMuBZgqPz8Ceq6+QlSeDvpBDVj6DDgeYG6l/vjm6ZsiHaNmyJXbs2IGXL1+iefPmMDAwQGhoqNJ2oaGhqFu3LvT19QH8N1YqNDQUrVq14reLi4tDQkICGjVqVDUHQGoETkcX4k/6KC0jhFQdlZOp+Ph4fPzxx8WuEwgEyMqq2ZWwHCwMoSvgcOnpO3AArjyLh6ezBd3UVQB590k5dXejrOndOcPjM3D6QSzSsvJhaaSHl/8WoZAyIDopC2tOP6qx54Zov6CgIAgEAnz00UcQCoXo168fjh07hg0bNvBVa6OiohAUFIQvv/ySf13Pnj2hr6+PwMBAhWQqMDAQHMdp/OSTRLsIRIaw7P6ZusMgpEZTOZmqXbs2QkND4e3trbTuwYMHcHFxqZDAtJH85trdzgRxadn42N4EcWk5Wl0wQVPIu09GJUkQl5oNW1N9OFoYqq0bZU3vzln495GalYc8qQwcB76fn4wBrxIlai1CQUhZTJs2DSYmJmjZsiVq1aqFhIQEHD58GL///jsWLFjAF1QKCAiAp6cn+vbtC19fX37SXisrK8ybN4/fn4WFBZYsWYKlS5fCwsKCn7TX398fU6ZMoTmmCCGkmlE5mRo8eDBWr16NDh068GViOY5DZGQkvv32W6W5NWqKwjfXugIOtqb6iEvLoYIJFUTefdJKrIfnbzPQuLYePyeQOpKY6lRhsDjva3WTH38LJ3PcjkyGWKSDZEkuMnOkYAC4f/+pswgFIWXRpk0b7NmzB3v37kVKSgrEYjGaNGmCX3/9FWPHjuW3c3d3R3BwMBYuXIihQ4dCKBSic+fO2Lhxo1IFWz8/PxgbG2P79u3YuHEjbG1t4evrCz8/v6o+PEIIIZVM5WRq+fLluHTpElq2bIlGjRqB4zj4+PggPDwcbm5u8PX1VTmIjIwMLFmyBIcOHUJSUhLc3d3h6+uLkSNHvve1QUFBWLNmDe7fvw+JRIKPPvoIU6ZMwcyZM6Gjo6NyLOVV9Oa6SwMb2Jka0OD3CiKvzhaVJIGxvhDxGblwtDBUW6JanSsMlqXVrfDxO1oYwt5MH38/i+cLUAg4QF9XBzLGEB6fQZ8BorF8fHzK/BCwefPmuHjxYpm2nTVrFmbNmvUhoRFCCNECKidTxsbGuHbtGrZs2YLTp0/D1dUVhoaGWLRoEebMmQMDA9VvKgcPHoyQkBCsW7cO9evXx4EDBzBq1CjIZDKMHj26xNddvHgRPXr0QMeOHfHjjz/CyMgIJ0+exOzZsxEeHo4tW7aoHEt5Fb25pnFSFatwdTbGGDiOU2uiWp2rxZWl1a3o8f96PRJSBhjoCpCVJwMYIMnNx5/3Y/EuPQfzurtVq3NECCGEEAKUc9JeAwMD+Pr6lqsVqqgzZ87gwoULfAIFAN7e3oiMjMSCBQswYsSIEluYAgMDoauri1OnTvETJHbt2hVPnz5FYGBglSZTANDEwRQcx1EiVUk0rTqbpsVTUcra6lb4+C2M9CDUESA/XwYAkAFgMiA9OxcRCZnVrhskIYQQQggACFR9wYoVK3D06NFi17158wYrVqxQaX/Hjx+HWCzGsGHDFJb7+PggJiYGN2/eLPG1urq60NPTU2oNMzMz48vUVoXw+Axs+t9THL79GleexVfZ+xJSGeStTmNbO5W5sEYfDzt4OpvD1KDg+Yy8u1+eFNARcNWqGyQhhGgKWXYG4g74KvyTZWeoOyxCahSVkyl/f38MHz4cy5YtU1r3+vVrBAQEqLS/sLAwNGjQAEKhYiOZvLhFWFhYia/99NNPkZubi1mzZiEmJgYpKSn49ddfcfz4cXz11Velvm9OTg7S0tIU/pXXrVdJuB+dguTMXNyPTkFIRFK590WIJnC1FqNTfesytya5WouxrN/H6OBmA32hAAKuYLlQALSgllpCCKkUTCZFTnSYwj8mk77/hYSQCqNyMgUAY8aMwerVq+Hj46M0ca+qEhMTYWFhobRcvqy4GeflWrVqhcuXL+P48eOoXbs2zM3N4ePjg9WrVyuUqi3O2rVrYWpqyv9zcHD4gKNgBRXMuP+eyBNS07hai9G/iT2sxCLo/JtMCQQChL1JQXg8PSklhBBCSPVTrmTq888/x2+//YbffvsNffr0QUbGh90ocRxXrnX//PMPBg0ahObNm+PPP//E5cuXsWjRIixZsgQrV64s9T0XLVqE1NRU/l90dHS542/pYommdcwg0tVBbVMD2JpUXRdDQjSJl5sNZnZ2haOlIXS4gvLoD9+k4UxorLpDI4QQQgipcOUqQAEAw4YNg42NDQYNGoSOHTvizJkz5dqPpaVlsa1PSUkFXeWKa7WSmzlzJmrVqoXjx4/zRSq8vb0hEAjg7++PMWPG4KOPPir2tSKRCCKRqFwxF+VqLcZwTwfsufoKeVKGc2FxJc7PQ0h1Fh6fgfvRqcjMlULGCkqkSxnNN0UIIYSQ6qlcLVNynTp1wt9//434+Hi0adMGjx49UnkfjRs3xuPHj5Gfn6+wPDQ0FADQqFGjEl977949NG/eXKnan6enJ2QyGR4/fqxyPB9CT6iDFk7m/GSyhNQ00UkSRCVJoCco+GrJyWcwN9RFx/rW73klIYQQQoj2+aBkCgA+/vhjXL9+HWKxGNOmTVP59YMGDUJGRoZShcC9e/fC3t4erVq1KvG19vb2uH37ttK4revXrwMA6tSpo3I85VWdJ3El1Ut4fAaCn7577zimsm5XmIOFIXR1OGTlyVDH3AD25voY09oJXm42Hxo2IYQQQojGUbmb34QJE2BtrfiUuU6dOrh69SpGjRqlcutUr1690K1bN3z22WdIS0tD3bp1cfDgQZw7dw779u3jW50mT56MvXv3Ijw8HE5OTgCAL7/8ErNmzUK/fv0wffp0GBoa4tKlS9i0aRO6du2KJk2aqHp45VadJ3El1Ud4fAZ+vPISiZm5sDTSK7H0eVm3K8rVWgyfdi58l1dHC0P0bmxXGYfCxxmdJKFutYQQQghRC5WTqT179hS73MTEBKdPny5XEMeOHYOfnx+WLVuGpKQkuLu74+DBgxg5ciS/jVQqhVQqBWP/1cv74osvULt2bXz77beYMmUKsrKy4OzsjOXLl+PLL78sVywforpO4kqqj+gkCRIzc9HA1hiP49JLnEy3rNsVx8vNBg4WhpX+YKG8CR8hhJSHs2/57nEIIdVbuQtQVCSxWIwtW7Zgy5YtJW4TGBiIwMBApeWDBw/G4MGDKzG6sqEn5DWXNv3uy9od9UO7rcrPQ3SSROHnivQhCR8hhBBCSEUoUzLVuXNnfP/993B3d0fnzp1L3ZbjOFy6dKlCgtMW9IS85tK2331Zu6N+aLfVqjgvNE6REEIIIepWpmSqcNc6mUxW6txPhbetKegJec2ljb/7snZH/ZBuq1VxXmicIiGEEELUrUzJVFBQEP//wcHBlRWL1qIn5DXXh/zutal7YHnk5ktxOzIZjhaGlfaZoHGKhBBCCFEnjRgzpe3oCXnNVd7fvbZ1D1RFeHwGDoVE4116DsR6QvRsZFvlx1ZaolrWJLa6J7uEEEII+XCUTFUQekJec5Xnd6+N3QPL6tarRNx7nQJ9oQCpWXmIS8uu0vcvLVGt7NLwhBBCCKlZypRMCQSCUsdJFcZxHPLz8z8oKG2kLU+xtSXO6q66dA0t/nriwAFgDCjbt0bFKi1RrYrS8IQQUlU4HSEM3dopLSOEVJ0yfeKWLVtW5mSqJgqPz8Cm/z1FXGo2bE31Ma+7m0beeNHTds3xvu6B2pD0lnQ9tXSxQF0bMV4nZ6GupRiezhZVGldpiWpVlYYnhJCqIBAZwXrgInWHQUiNVqZkyt/fv5LD0G63XiXhfnQK9HQEeJuWjZCIJI28Aaan7ZqlpO6B2pL0lnY9GekJYWKgCyO9qn9CWlqiWlWl4QkhhBBSM1BbcIVgYAA4DtDkwvD0tF07aEvSW9L1FJ0kQZ6MoUNdK7XFX9o4tqooDU8IIYSQmqHcyVRYWBgeP36MrKwspXXjx4//oKC0TUsXSzStk4DYtGy4m+hXebemsqKn7dpBW5Lekq4nbYmfEEIIIeRDcUzFWXYlEgn69++Py5cvg+M4fpLewmOqpFJpxUZZBdLS0mBqaorU1FSYmJio/Prw+AxKUiqINowXqmyaej2pUlZcE+PXJEXPZU2+7j/0+7c6o3OjOZx9T6s7BI0Usa6PukMgpFKU9ftX5ZaplStXIiIiAn/99Rc6deqEY8eOwdjYGDt27EBoaCh+//33DwpcW1GXoIqhLeOFKpsmXk+q/G40MX5NUvRc9mxki3NhcTX+uieEEEK0jUDVF/zxxx9YuHAh2rZtCwBwdHREly5dcPjwYTRr1gw//PBDhQdJao7C44USM3PxOlm5GylRj6K/m5CIJAQ/fYfw+Ax1h6Z1ip7L0DepdN0TQlQmy8lE/Im1Cv9kOZnqDouQGkXlZCoiIgLu7u7Q0dEBx3GQSCT8ujFjxuDEiRMVGR+pYWi8jeYq/LvRFXC48iwe+29G4ccrLymhUlHR67xxbVO67tXk8uXLmDRpEtzd3WFkZITatWtjwIAB+Oeff5S2vXPnDrp27QqxWAwzMzMMHjwYL1++LHa/27Ztg7u7O0QiEVxcXBAQEIC8vLzKPhxSwzBpPiRPryr8Y9KaN9cnIeqkcjc/MzMzZGYWPPWwsbHB8+fP0b59ewBAXl4ev46Q8qAiGYo0aRxN4d9NTEoWLj95p/EVBzVVcde5g4UhXfdq8MMPPyAxMRGzZ89Gw4YNER8fj02bNqF169Y4f/48OnfuDAB48uQJvLy80LRpUxw6dAjZ2dlYtmwZOnTogHv37sHa2prf5+rVq7F06VL4+vqie/fuCAkJwZIlS/DmzRvs2rVLXYdKCCGkEqicTDVu3BjPnj1Dz5494e3tjTVr1qBevXrQ09PDihUr0KRJk8qIk9QgNWG8TVmSJE0cPyb/3YTHZ+B+dAq1pHyAotd5TbjuNdH27dthY2OjsKxnz56oW7cu1qxZwydTy5Ytg0gkwqlTp/iByM2bN0e9evWwceNGrF+/HgCQmJiIVatWYerUqVizZg0AwMvLC3l5eViyZAnmzJmDhg0bVuEREkIIqUwqd/ObPHky0tPTARQ8fZNIJOjUqRPatGmDyMhIbNq0qcKDJKQ6kSdJ7+sip8njx+QtK2NbO2lEkkdIeRVNpABALBajYcOGiI6OBgDk5+fj1KlTGDJkiEJFJycnJ3h7e+P48eP8snPnziE7Oxs+Pj4K+/Tx8QFjjLrCE0JINaNyy9Tw4cP5/3dxccGzZ8/4Mult27aFhYVmzrFEiKYo66S8mj5+jFpSSHWVmpqKO3fu8K1S4eHhyMrKgoeHh9K2Hh4euHDhArKzs6Gvr4+wsDAABb04CrOzs4OVlRW/viQ5OTnIycnhf05LS/vQwyGEEFKJyj1pr5yRkRH69etXEbEQUiOUNUmi8WOEqMfMmTORmZkJPz8/AAVd9wAU+7DQwsICjDEkJyfDzs4OiYmJEIlEMDIyKnZb+b5KsnbtWgQEBFTAURBCCKkK5U6mMjIyEBUVhezsbKV1zZo1+6CgCKnOVEmSqPWHkKq1dOlS7N+/H9u2bUPz5s0V1hWenL6owuvKul1xFi1ahLlz5/I/p6WlwcHB4X1hE0IIUROVk6n4+HhMnToVf/75p9I6xhg4joNUKq2Q4AiprihJIkTzBAQEYNWqVVi9ejU+//xzfrmlpSUAFNuqlJSUBI7jYGZmxm+bnZ0NiUQCQ0NDpW2LJmhFiUQiiESiDzwSQgghVUXlZGr69Om4fPkyZs+ejQYNGkBPT68y4iKEEEKqTEBAAPz9/eHv74/FixcrrHN1dYWBgQFCQ0OVXhcaGoq6detCX18fwH9jpUJDQ9GqVSt+u7i4OCQkJKBRo0aVeBSEEEKqmsrJ1OXLl7Fp0yZMnTq1MuIhhBBCqtTKlSvh7++PJUuWYPny5UrrhUIh+vXrh2PHjmHDhg0wNjYGAERFRSEoKAhffvklv23Pnj2hr6+PwMBAhWQqMDAQHMdh4MCBlX48hBBCqo7KyZSRkRGcnJwqIxZCCCGkSm3atAnLli1Dz5490adPH9y4cUNhfevWrQEUtFx5enqib9++8PX15SfttbKywrx58/jtLSwssGTJEixduhQWFhb8pL3+/v6YMmUKzTFFCCHVjMrJ1Lhx43D48GF07969MuIhhGiJskw8TIimk4//PXfuHM6dO6e0njEGAHB3d0dwcDAWLlyIoUOHQigUonPnzti4cSOsra0VXuPn5wdjY2Ns374dGzduhK2tLXx9ffnqgIQQQqoPjsn/UpRRfn4+Jk+ejLS0NPTp06fYUrGDBw+usACrSlpaGkxNTZGamqowKSMhRJl84uHEzFxYGunRxL3kg9D3b8no3GgOZ9/T6g5BiVSSitfbxigsq/PFfugYmlZZDBHr+lTZexFSlcr6/atyy9SrV69w8+ZNPHv2DH/88YfS+ppazY+e0pOapKwTDxNCCCGEVGcqJ1PTpk1DamoqNm/eTNX8/kVP6UlNU9aJhwkhhFQeTqADkUMjpWWEkKqjcjJ18+ZN7N69G6NGjaqMeLQSPaUnNY0qEw+rG7UaE0KqK4G+GLaj16k7DEJqNJWTqVq1avGTE5IC9JSe1ETyxCQ6SaLwsyahVmNCCCGEVCaVk6nPPvsMO3fuRK9evSojHq2kTU/pCako2pCoUKsxIYQQQiqTysmUQCDAgwcP0KxZM/Tu3Vupmh/HcQoTGNYUrtZiukkjZVJdup1pQ6Kira3G1eUaIYQQQqo7lZOpr776iv//e/fuKa2vqckUIWWhDa05ZaUNiYo2thpXp2uEEEIIqe7KVRqdEFI+2tCaU1bakqhoW6txdbpGCCGEkOpOpWQqKysLixYtwowZM9C+ffvKiomQaksbWnNUoW2JijaobtcIIaTyyHIkSP5rr8Iy804TIBAZqikiQmoelZIpAwMD/PHHH/j0008rKx5CqjVtac0h6kPXCCGkrJg0Dxl3TyssM2s/Wk3REFIzqdzNr2nTpggLC0PHjh0rIx5Cqj1qzSHvQ9cIIYQQoh0Eqr5g3bp12LBhA/7666/KiIcQQgghhBBCtILKLVMzZsxARkYGOnfuDHNzc9jZ2YHjOH49x3G4f/9+hQZJCCGEEEI0j7Pv6fdvVE4R6/pU2r4JqSgqJ1OWlpawsrKqjFgIIYSogOajIoQQQtRL5WQqODi4EsIghGgyumnXPDQfFSGEEKJ+KidThJCKpemJCt20ayaaj4oQQghRv3IlU0lJSfj2229x6dIlJCYmwsrKCl27dsWcOXNgbm5e0TESUm1pQ6JCN+2aieajIoQQQtRP5WTqzZs3aNeuHaKiotCgQQM4OjoiJiYGK1euxC+//IKrV6/C3t6+MmIlpNrRhkRFW2/aNb3F70PRfFSEEEKI+qmcTC1evBhZWVm4efMmPD09+eUhISHo168fFi9ejMDAwIqMkZBqSxsSFW28adeGFr+KQPNREUIIIeqlcjJ17tw5rFq1SiGRAgBPT0+sWLECS5curbDgCKnutCVR0babdm1o8SOEEEKI9lM5mUpNTYWzs3Ox61xcXJCamvqhMRFSo2hboqINtKHFjxBCCCHaT+VkysXFBadPn0a3bt2U1p09exYuLi4VEhghhJSXtrT4EUIIIUS7qZxM+fj4wNfXFzKZDBMmTICdnR1iY2Oxb98+bNu2DevWrauMOAkhRCXU4kcIIYSQyqZyMrVgwQKEh4fju+++w/bt2/nljDFMmzYN8+fPr9AACSGEEELex9n3tLpDqHqcALqWjkrLCCFVR+VkiuM47Ny5E3PnzkVQUBASExNhaWmJzp07o379+pURIyGEEEIIKULHwBj2U75XdxiE1Gjlfnzh5uaGTz/9FH5+fvj0008pkSKEEKKV0tPT8dVXX6F79+6wtrYGx3Hw9/cvdts7d+6ga9euEIvFMDMzw+DBg/Hy5ctit922bRvc3d0hEong4uKCgIAA5OXlVeKREEIIqWoqt0zJvXv3DpGRkcjKylJa17Fjxw8KihBCCKkqiYmJ2LVrF5o0aYKBAwfip59+Kna7J0+ewMvLC02bNsWhQ4eQnZ2NZcuWoUOHDrh37x6sra35bVevXo2lS5fC19cX3bt3R0hICJYsWYI3b95g165dVXVohBBCKpnKyVRsbCzGjRuHoKAgAAVjpYCC7n+MMXAcB6lUWrFREkIIIZXEyckJycnJ4DgOCQkJJSZTy5Ytg0gkwqlTp2BiYgIAaN68OerVq4eNGzdi/fr1AAqSs1WrVmHq1KlYs2YNAMDLywt5eXlYsmQJ5syZg4YNG1bNwRFCCKlUKidTn3/+Oe7evYv169fDw8MDIpGoMuIihBBCqgTHce/dJj8/H6dOncL48eP5RAooSMS8vb1x/PhxPpk6d+4csrOz4ePjo7APHx8f+Pn54cSJE5RMEUJINaFyMvXXX39h48aNSn8kPkRGRgaWLFmCQ4cOISkpCe7u7vD19cXIkSPL9Po//vgD33zzDe7evQupVApnZ2fMnj0b06ZNq7AYCSGkIoXHZyA6SQIHC0Mq4a4FwsPDkZWVBQ8PD6V1Hh4euHDhArKzs6Gvr4+wsDAAQOPGjRW2s7Ozg5WVFb++ODk5OcjJyeF/TktLq6AjIIQQUhnKVc3PwcGhQoMYPHgwQkJCsG7dOtSvXx8HDhzAqFGjIJPJMHr06FJfu27dOr4IxqJFi6Crq4snT54gNze3QmMkhJCKEh6fgR+vvERiZi4sjfQwteNHZUqoKAFTn8TERACAhYWF0joLCwswxpCcnAw7OzskJiZCJBLByMio2G3l+yrO2rVrERAQUHGBk2pNlpuNtFtHFZaZtBwCgZ6+miIipOZROZkaNmwYTp06ha5du1ZIAGfOnMGFCxf4BAoAvL29ERkZiQULFmDEiBHQ0dEp9rX//PMP/Pz8sHbtWnz11Vf88i5dulRIbIQQUhmikyRIzMxFA1tjPI5Lx+vkrPcmR+VNwEjFKq1LYOF1Zd2uqEWLFmHu3Ln8z2lpaRX+AJNUHyw/B6lXDyosM27WF6BkipAqo3IyNXz4cEydOhUymQz9+vWDpaWl0jbNmjUr8/6OHz8OsViMYcOGKSz38fHB6NGjcfPmTbRt27bY13733XcQiUT44osvVDsIQqoItSSQ4jhYGMLSSA+P49JhaaSHOuYG731NeRIwUnHkf+uKa1VKSkoCx3EwMzPjt83OzoZEIoGhoaHSts2bNy/xfUQiEY1FJoQQLaJyMtW5c2cABYnM9u3bFdaVp5pfWFgYGjRoAKFQMRR5v/SwsLASk6krV66gQYMGOHr0KFauXIkXL17Azs4OY8eOxYoVK6Cnp1fi+1K/dFLZqCWBlMTVWoypHT/C6+Qs1DE3KNN1UZ4EjFQcV1dXGBgYIDQ0VGldaGgo6tatC339gtYA+Vip0NBQtGrVit8uLi4OCQkJaNSoUdUETQghpNKpnEzt2bOnQgNITEzERx99pLRc3i+9tL7lb968QXx8PGbNmoWVK1eiYcOGuHTpEtatW4fo6Gjs37+/xNdSv3RS2T6kJYFatKo/V2uxSr/b8iRgpOIIhUL069cPx44dw4YNG2BsbAwAiIqKQlBQEL788kt+2549e0JfXx+BgYEKyVRgYCA4jsPAgQOrOnxCCCGVROVkasKECRUeRHn7lstkMqSnp+PgwYN85T9vb29kZmZi8+bNCAgIQN26dYt9LfVLJ5WtvC0J1KJFSqJqAkbK7uzZs8jMzER6ejoA4NGjRzhy5AgAoHfv3jA0NERAQAA8PT3Rt29f+Pr68pP2WllZYd68efy+LCwssGTJEixduhQWFhb8pL3+/v6YMmUKlUUnhJBqROVkqrCnT58iISEBTZs2LbZqUVlYWlqW2AcdKL5yUuHXxsXFoUePHgrLe/Xqhc2bN+POnTslJlPUL51UtvK2JGjq2BhqLSPV2WeffYbIyEj+58OHD+Pw4cMAgFevXsHZ2Rnu7u4IDg7GwoULMXToUAiFQnTu3BkbN26EtbW1wv78/PxgbGyM7du3Y+PGjbC1tYWvry/8/Pyq9LgIIYRUrnIlU7/88gsWL16M2NhYAEBISAiaNWuG4cOHo1u3bpg6dWqZ99W4cWMcPHgQ+fn5CuOm5P3SS+tb7uHhgbi4OKXljDEAgEAgKHMchFSG8rQkaOLYGGotI9VdREREmbZr3rw5Ll68WKZtZ82ahVmzZn1AVIQQQjSdytnG4cOHMXHiRDRr1gzfffcdn7gABVX8Dh06pNL+Bg0ahIyMDBw9qjhPwt69e2Fvb6/Q37yoIUOGACjonlHYmTNnIBAI4OnpqVIshGgCeYvW2NZOGpO0FG4tS8zMxevkLHWHRAghhBCidiq3TK1duxY+Pj7YvXs3pFIpZs6cya9r0KABtm3bptL+evXqhW7duuGzzz5DWloa6tati4MHD+LcuXPYt28fP8fU5MmTsXfvXoSHh8PJyQlAQfn0nTt3YsaMGUhISEDDhg1x8eJFbN++HTNmzOC3I0TbaNrYGE1sLSOEEEIIUTeVk6nHjx9j/fr1xa5738zuJTl27Bj8/PywbNkyJCUlwd3dXaGoBABIpVJIpVKFljBdXV1cuHABixcvxpo1a5CUlAQXFxesW7dOobgEIeTDUCU5QgghhBBlKidThoaGSE1NLXbdmzdvYG5urnIQYrEYW7ZswZYtW0rcJjAwEIGBgUrLLSwssGPHDuzYsUPl9yVEE2hLYQdNay0jhBBCCFE3lcdMtWvXTmmslFxgYCC8vLwqIi5CagR5YYf9N6Pw45WXCI/PUHdIhBBCCCGkjFROppYtW4YbN26gZcuW2Lp1KziOw7Fjx9CvXz9cuXKFyr4SogIq7EAIIYQQor1UTqZatGiBs2fPIiMjA/PmzQNjDGvWrMGzZ89w5syZUkuZE0IUUWEHQgghhBDtVa55pry9vfH48WOEh4fj7du3sLKyQv369QEUzPHEcVyFBklIdaXphR20ZTwXUR+6RghRL4GBibpDIKRGK1cyJefq6gpXV1f+5wMHDmDFihV48uTJBwdGSE0hL+wQHp+B4KfvNOamlCbqJe9D1wgh6qVjaAqHWQfUHQYhNVqZk6nU1FScOHECb9++Rf369dG/f38IBAW9BI8dO4Zly5bh0aNHNLcTIeWgiTelhcdzPY5LR0hEErVAEAVFr5HXyVl0bRBCtIaz7+lK23fEuj6Vtm+iWcqUTL148QIdOnTAu3fv+G58nTp1wokTJzBq1CicO3cOZmZm2LBhA7744ovKjpmQakcTb0oLj+fSFXC48iweeVKmMckeUT8a80cIIaSmK1MytXTpUqSlpcHf3x8tWrTAy5cvsXr1arRt2xaPHj3ClClTsGHDBpiZmVVyuKSmqu7jMjTxprTweK6YlCxcfvJOo5I9ol7yz2TPRrbgOE4jx/wRQrRbZbYcEVJRypRM/fXXX1iyZAkWLVrEL6tbty569eqFTz/9FN9//32lBUiIJnaBq2iaWoii8Hiu+9EpGpXsEfWpCZ9JQgghpCzKlEzFx8ejXbt2Csvat28PABgxYkTFR0VIIZrYBa4yyBMXTaSpyR5Rj5rymSSEEELep0zJlFQqhb6+vsIy+c/GxsYVHxUhhWhiF7iKoG1dFzU52SNVq7p+Jknlo25bFUuWl4PM0AsKy4wad4NAV6SmiAipecpcze/p06cQCv/bXCqVAkCxZdCbNWtWAaERUqA6topQNymizarjZ5IQbcTyspF0YYfCMkP3DgAlU4RUmTInUxMnTix2+bhx4/j/l1f6kydahFSU6tYqQt2kiLarbp9JQgghpDzKlEzt2bOnsuMgpEaprt2ktK3rIiGEEELIhyhTMjVhwoTKjoOQGqU6dpOirotVixJXQgghRP3K3M2PEFKxqls3Keq6WHUocSWEEEI0AyVThJAKk5svxe3IZDhaGFabrouaiBJXQgjRbJVZuTJiXZ9K2zdRnUDdARBCtF94fAbOhcUhT8qgq8OhZyNburmvRNV1zB0hhBCibahlihDyweQtJS2czPE4Lh0cx6k7pGqtOo65I4QQQrQRJVOE1CCVVbSAWkqqXnUbc0cIIYRoI0qmCKkhKrNoAbWUEEIIIaQmojFThNQQhYsWJGbm4nVyVoXu39VajE71rSmRIgRARkYG5syZA3t7e+jr66Np06b47bff1B0WIYSQCkYtU4TUENQVj5CqM3jwYISEhGDdunWoX78+Dhw4gFGjRkEmk2H06NHqDq9UlVmFjBBCqhtKpgipIagrHiFV48yZM7hw4QKfQAGAt7c3IiMjsWDBAowYMQI6Ojrl3j8lO4TUbJX9HUCl11VDyRRRu8oqikCUUdECQirf8ePHIRaLMWzYMIXlPj4+GD16NG7evIm2bduqtM9Gy89DIDKsyDAJIYRUAEqm/sUYAwCkpaWpOZKa5WVCBvZejUCSJBcWhnqY0M4ZH1nRzT4hNYn8e1f+PaztwsLC0KBBAwiFin9iPTw8+PUlJVM5OTnIycnhf05NTQUAyHIklRQt0WayXOXrQpYrAaejq4ZoSHXh+OXhStt3WECPStt3RSvr3yZKpv6Vnp4OAHBwcFBzJDXbZnUHQAhRm/T0dJiamqo7jA+WmJiIjz76SGm5hYUFv74ka9euRUBAgNLyNz9MrLD4SPUWs3OqukMgpESmm9Udgere97eJkql/2dvbIzo6GsbGxiVOOJqWlgYHBwdER0fDxMSkiiP8MBS7elDs6kGxq0d5Y2eMIT09Hfb29pUYXdUqbeLq0tYtWrQIc+fO5X+WyWRISkqCpaWlVk2Grc3XsTaj864edN7Vo7LPe1n/NlEy9S+BQIA6deqUaVsTExOt/bBQ7OpBsasHxa4e5Ym9OrRIyVlaWhbb+pSUlATgvxaq4ohEIohEIoVlZmZmFRpfVdLm61ib0XlXDzrv6lGZ570sf5tonilCCCGkAjVu3BiPHz9Gfn6+wvLQ0FAAQKNGjdQRFiGEkEpAyRQhhBBSgQYNGoSMjAwcPXpUYfnevXthb2+PVq1aqSkyQgghFY26+alAJBJh+fLlSl0wtAHFrh4Uu3pQ7OqhzbFXpF69eqFbt2747LPPkJaWhrp16+LgwYM4d+4c9u3b90FzTGkLuhbUg867etB5Vw9NOe8cqy61aAkhhBANkZGRAT8/Pxw6dAhJSUlwd3fHokWLMHLkSHWHRgghpAJRMkUIIYQQQggh5UBjpgghhBBCCCGkHCiZIoQQQgghhJByoGSKEEIIIYQQQsqBkilCCCGEEEIIKQdKpgipYVJTUwEAUqlUzZGoLjIyEgCgjXVzHj16hJiYGADaF//vv/+Obdu2AQBkMpmaoyGk5klISEBSUpK6wyCEFKNGV/N7+PAhrly5gjp16sDT0xO2trYACm50OI5Tc3Sli4yMRH5+PlxdXdUdisrCw8Px7NkzWFtbw93dHWKxWN0hldmTJ09w5coVmJmZwc3NDY0bN4ZAoB3PJKKiojBy5EiYmJjg3Llz6g5HJXfu3MGIESMgFotx69Yt6OrqqjukMrt79y7mzp2LzMxMjBgxAl9++aXWXDP//PMPvvjiC9y4cQNOTk548eJFjZgjiZQsOzsb+vr6ALTjb6W2y8zMxKxZs/B///d/0NPTQ4sWLTBhwgR4eXmpO7QaIS8vj/97Q9d71bh8+TJ0dXX5e0RtoB1/0StYTk4Opk+fDk9PT2zbtg0DBgxAx44d8c033wCARn9YsrKy8MUXX8DFxQW7d+9Genq6ukMqs4yMDEycOBFeXl6YMWMGWrZsie7du+PkyZMANPtpfUZGBsaPH48OHTrgm2++wciRI9G7d2/s3LkTgGbHLvfdd9/hxo0buH//Pg4dOgRA81un0tPTMWrUKLRo0QKtWrXC3r17tSaRkslkWLduHTp16gQ7Ozv4+vqie/fuWpFIpaWlYdSoUfD09ESDBg3QunVr6Ovr4/Xr1+oOjajJ06dPMWLECAwZMgSjRo3CtWvXkJ2dDYBaKyvL8+fP0alTJzx69Ahz5sxBjx49cOXKFfTp0wcXL17U+O9vbXb9+nX0798fQ4YMwfjx4xEWFob8/HwA2vH3Xhvdu3cPn3zyCUaNGoWhQ4eiYcOGWLx4MSIiIgBo+PcMq4E2b97M6taty/73v/+x169fswcPHrBevXoxjuPY/v37WX5+vrpDLNbDhw/ZkCFDmIODA3N0dGQfffQRu3LlirrDKpO///6btWzZkrVt25adOnWKXb9+nf3xxx/MzMyMtW/fnsXFxak7xBKdOXOGubm5sTZt2rAzZ86wJ0+esNu3b7O6deuyFi1asOTkZHWHWCqZTMYYY2zevHnMycmJNW3alLVq1YplZWUxxhiTSqXqDK9Eu3btYhzHsTZt2rCLFy+yzMxMdYekksePH7PmzZuzzZs3s5SUFP73oOlWrlzJdHV1WevWrdm5c+eYVCply5cvZ3p6eiwmJoYxxrTmWEjF+PHHH5mxsTEbOHAgmzRpEqtfvz4Ti8Vs3rx56g6tWpJ/vnbs2MFq167N7t27x68LCQlh7dq1Y/Xr12d//fWXukKstmQyGVu1ahUzMjJiY8aMYWPHjmW1a9dm1tbWbPXq1eoOr9qKj49nnp6ebPDgwezBgwfs9u3bbNGiRczY2Jj17NlT3eG9V41KpmQyGUtPT2ceHh5s2LBhLCcnh1/39OlT1r9/f1a7dm129epVNUZZMvnN5erVq9nff//NzMzM2MSJE9m7d+/UHVqp4uPj2fDhw1mfPn3Y/fv3FdYtWbKEGRkZsWvXrqkputIlJSWxRYsWsVGjRrFnz54prJsyZQpr0KCB1tzkDxw4kH3zzTdsxYoVzNDQkK1bt44xppnJ1Js3b1jv3r2ZQCBgd+/eVbh5T01NVWNk7yePddmyZaxWrVp8AsIYY/fu3WP3799nSUlJ6gqvVMeOHWONGzdmO3fuVDjPGzduZBzHsd9++02N0RF1yMjIYB07dmRTpkxR+K4bMWIEEwqF7Pvvv2eMUYJdGfr06cPatWundG7v3bvHDA0N2ejRoxW+X8iHi42NZY0aNWJLly5lubm5jDHGkpOTWc+ePZlQKGSnT59mjNH1XtEOHjzI9PX12fXr1xXuSZYtW8bf92qyGpVMMVbwAbC3t2fLly9njDGFhOrOnTvM0tKSjRs3jiUkJKgpwpI9evSIXb58mf956dKlTF9fnx09elTjP9ijRo1SiF3e+nfhwgXGcRy7c+eOukJ7r+DgYD6RKnyex44dy1atWsUyMzP5D78mJibyc927d2+2dOlSlpKSwjw9PVndunVZeHg4Y0wz/zCcPXuWmZubs/nz5zPGGHvy5AkbPnw469ixI+vQoQP74YcfWHR0NGNMM897v379WL9+/RhjjIWGhrKOHTsyGxsbZmFhwerWrcsOHDig5giLl5iYyP+//Lq4du0a4ziO/fzzzwrLSfV37949xnEcCwoKYowxlpeXxxgreADZp08fZmxszCIiItQYYfU1depU5uzszP9c+HPn7+/P9PT02O+//66O0Kqt06dPM47j+L+N8r+fISEhrGXLlszZ2VnjH+hpA/k9tvwefNu2bczQ0JBlZ2crLI+OjmajR49mhoaG7MWLF+oJtgw0v/N+OZXUt/Ldu3dwdnbGpUuXAAB6enr8tk2bNsWsWbNw5MgRPHr0qMpiLaqk2Bs0aABvb29+m08//RSOjo74/vvv+T6l6lY0dnmf7sDAQD52APwg9idPnkAsFsPMzKzKYixJSee9U6dOqFevHoCC8XRZWVmYMGEC9u/fj/3796NRo0b48ssvAUBt42FK60uso6OD3NxcvHv3DnZ2djA1NcWECROQmJiIjRs3AigY5CzvD17VisbO/u2P3qpVK4wbNw7fffcdRo8ejSZNmiAhIQF2dnbIzMzEjBkzMHnyZACaed4tLCxw9+5dREdH49NPP4WJiQl27twJPz8/WFtbY/Lkyfjjjz/U1g+8pPe1sLDg/18+ftTc3Bzm5ua4e/dulcRGNEdiYiL09fX5Spryz1r9+vUxY8YMiEQiBAQEANDwMQ1aqGnTpnj79i1OnToFQPH8zp49G9bW1jh58iRycnLUFaJWy8jIUFqWnJwMkUiE8PBwheUtWrTArFmzEBsbi82bNwOg67083r59i2bNmqF169YACu7BgYLfhUAgwF9//aWwvE6dOpg4cSIMDQ2xcuVKABp63tWdzVWG3bt3swYNGvBPbIo+tfbx8WF2dnbs3LlzSusfPXrE7Ozs2Oeff17sayvb+2IvKjAwkHEcx7777js+k1fXU2NVYpevmzJlCmvSpAlLT0+vkhhLUtbYX7x4werXr888PDzYrl272OHDh9mkSZMYx3H8+AFNu2bkT9bat2/PN5VLJBI2cOBAVqtWLTZhwgTWsmVLFhwcXKVxM/b+2G/cuME8PDxY/fr12bFjx1haWhq/zeeff84EAgH77rvvin2tumOfN28eE4vFrFevXqxFixYsKiqKX/fw4UPWuHFj1rVrV7U85VT1e+bt27fM2tqade3alWVkZFRFiKSKHTlyhF28eJGFhITw4ykZYywqKorp6emxefPmMYlEwhj77zslNTWVzZw5k3Ecx16+fMkYo1bLipSQkMDs7OzY8OHD+XNe+PwuWrSImZmZ8b8XUjYZGRls7ty5rHPnzszLy4stWrSIH4Jw9epVxnEc+/rrr/lzLv9+jI2NZUOHDmUmJiZa071f08iHq3Acx7Zu3covf/78OeM4jvn7+/PfP4W/Z6ZMmcKMjIw0thW8WiVT0dHRbOrUqUwoFDKO41ifPn34C14mk/G/mDt37jCO49jUqVNZWloaY+y/X1pycjIbNGgQc3Nz45sbNSH2kqSlpbEuXbowd3d3tXWVK0/seXl5TCaTsfr167NJkyZVZbgKyhP75cuXFW7qExIS2IgRI5iBgUGV3hirEnteXh6rXbs2O3z4ML9s8eLFTE9PjwmFQrZp0yaWkZFRZTdCZY09IyOD7d27lx08eFDp8/j48WPm4uLCOnfurNBdV92xy6+L+/fvM47jmJ6eHps+fbrCPnJzc9mGDRsYx3FV2nWhPNe7/Hh69uzJPD09S92WaJ+9e/cyJycnVq9ePWZiYsI4jmM+Pj4Kn6mhQ4cyV1dXpTGvjDH2xx9/MEtLSxYQEFCVYdcYK1euZDY2NuzXX39ljDGFAlk///wzMzAwYDdv3lRXeFrn119/ZTY2Nqx9+/Zs7ty5rE+fPkxHR4c1b96cvx9s2bIla926Nf+AoLCffvqJGRsbs927d1d16NXChg0bWK1atVifPn2YpaUlf88kk8nY4MGDlb5n5H9r9uzZw4yNjTV23G61Saays7PZnDlzmJ2dHVu6dCmbMGECMzMzY9u2bWOM/fcLkd8YjB07lhkbG7M9e/YoLJeva9asmcLTOU2IvSSXLl1iurq6bPHixSw5OZlFR0ez//3vf4yxyn9a/yGxP3nyhOnp6Snc4EskEhYaGvre16oj9tLimTNnDqtVq1aV3RirErtMJmNpaWmsadOm7MyZM+zhw4fMy8uLCYVC1qBBA2ZiYsICAwMZY1XTuqPqeS/aElJ4fatWrVi3bt0qPWa5ssYu/++0adMYx3F8NSL5eBPGCip1GRgYVFlFzg/5rObk5LBp06YxPT09hRY2or1SUlLY/PnzmYuLC1u9ejW7d+8eCw8PZ1OmTGEGBgZs/fr1/LZ//fUX09PTY35+fvwNp/xazsjIYPb29vzYRkq0K1Z2djZzdXVlTZs25ceIyq1fv54ZGRmxyMhINUWnPWQyGTt+/Dj75JNP2PLly1l8fDxfYCIgIIAZGhryxVQOHjzIBAIB27p1K/8QT75tZGQkMzIy4ltV6HpXzfz589mMGTPYzz//zHR1ddmMGTMYYwX3Hn/99RfT19dnc+bM4cdUyc/727dvGcdx7NSpU2qLvTTVJplirGBApr+/P2OsoApb/fr1WbNmzdirV68YYwW/LPlTnYSEBObg4MA+/vhjduPGDX4fiYmJrG3btmzcuHFV+iEpS+xFFY5vypQprFatWszf3595enoyjuPY69evNTZ2xgqaey0sLNjTp08ZY4zdvHmTde/enVlaWlZZqfQPPe9SqZS9evWKNW/enA0ZMqRKu5qpEntsbCwTi8Xsk08+YUKhkHXu3Jn9888/7NatW8zd3Z05OjryN0maFrtc4USEsYLuGEZGRmzhwoWVHm9hZYldHn9ycjJzcnJiHMexI0eO8PvIyMhgPj4+rFWrVlXaAl7ezypjBTccAoGAXbp0qSpCJZXs+PHjrHHjxmzLli0sKyuL/16LjIxkTk5ObMiQIfy1KZFI2PTp05mZmRk7evSown7y8/NZnTp12MyZM6v8GGqK4OBgZmNjw9q1a8devHjBUlJS2LNnz1jnzp3ZpEmTlL4biTKZTMZmzJjBBg0apJR8RkVFKXQZT0pKYv369WNOTk7s4sWLCtsmJiYyfX19tmnTpiqLvTqQ/22ZPHkyGzVqFMvLy2PDhg1jQqGQL/2fnZ3N5s+fz3R1dfnfBWMFv7tffvmFicVidv36dbXE/z5am0zJs9Wi/1/Ypk2bmImJCfvqq68UlssTqsOHDzN3d3fm4ODAtm7dyk6fPs1mzpzJbGxs2Pnz5zUy9uJkZmayAwcO8P1Q+/fvX2n9Sisidvn5HzZsGPvkk09YWFgYmzlzJhMKhaxHjx6V9pStMs7748eP2cSJE1m9evX4L93KSMI/NHapVMpGjhzJGjduzPbv368wN9bixYvZpEmTWHp6ukbGXpREImEPHz5kw4cPZx4eHuzx48cVFmtRFfE988cffzBXV1dmYWHB5s6dywIDA9nUqVOZubk527FjB2NMM68ZOXlsf//9NxMIBOzkyZOMMc2soEjK7vDhw2zFihUKy+Rd+5o3b8769++vsC42NpZ99NFHrEGDBvw1kJeXxw4fPsxq166tsdNbVBdHjhxhdnZ2zNjYmLVv357Z29uzRo0asQcPHqg7NK0RGxtb7Pjsly9fMn19fb6VnrGCnjOmpqasdevW/A18bm4u27ZtG3NxcdHoynKaSiaTsWHDhrEFCxYwxgr+Ntra2vK9S9LS0lhmZibr3LkzMzY2Zr6+vuzatWssODiYtWrVig0YMKBKHz6qQuuSqWvXrvElh8eNG8dCQ0P5GwX5zYv8KU1ubi5r164d++ijj/i5o/Lz8xVuXEJCQliXLl1YrVq1mJOTE2vUqBFfAlYTYy8qIiKCzZgxg5mbm7PGjRtX2hxZFR17VlYW8/DwYPb29szCwoK5uLiwCxcuaEXsr169Yt988w378ssvWa1atZi7u7vGnvfCTyxfv37NoqKi+Jtg+eegpBttdcde9Ly/fPmSffvtt2z+/PnMxsaGffzxx5U2VqCiv2f++ecf1q9fP2Zra8tcXFxY06ZNFaYK0LTYi3Pq1CnGcRxbu3ZtpcRNqkZxiXvhxDgrK4s5Ozuz2bNnK2138+ZN5uHhwTiOY127dmUjR45kxsbGzMfHhwqTVIHHjx+zXbt2MV9fX36IAlFd0alMLl68yDiO44swyb8Djx8/zurVq8eEQiHr27cvGzx4MDMwMGC+vr78uG9SNvJzOnDgQDZlyhTGWMHfn4ULFzKO49ioUaOYo6Mju3jxIouOjmYLFixgurq6rE6dOszU1JQNHjxYY+dnZEyLkqmSZqW2sbEpdjIv+S/u2LFjzNzcnI0ePVppf3K5ubksKSmJ3b17VytiL+z58+dMR0eHbd68Watif/jwIeM4jllbW7Pt27drVexXr15lXbt2ZZ06dWK7du3SqtirQmXFHhQUxBo3bsw8PT35Fh1Nj73w90xeXh5LT09nYWFhWhF70WPIyspSGN9Iqqfnz58zMzMzfoB90XGAb968YevWrWOTJk1i/fv351upCNFWq1atYg4ODiw2NlZpXWRkJPPz82MTJ05kQ4YMYf/3f/+nhgirj+bNm7ONGzfyP3/99ddMX1+fCQQCtm7dOpaSksKvCw8PZ9evX2cPHz5UR6gq0Zpk6kNmpR42bBiztrbmbwSSkpLY27dv+fUlPYnVhtgrO/6Kjr3wWKh9+/ZVWqtIZcceHh5eqd2cKvuaqUyVed4fPHigVdd7dfmeoS591Z/8d/zrr78yXV1d6j5Gaow+ffqw7t27KyyrzHuTmkj+/eLl5cW2b9/Onj9/zjp37syEQiFr2bIl09HRYevWrWOMKY+P1gZak0yVZ1Zq+S/k/v37rHbt2qxz587s4sWLbNSoUWzMmDEsJiaGYldD7EUrEmlT7FVV1IOuGTrvNSl2UnWKdkGVky/z8fFhHh4eCqXRHz16xM9lRF2bSHUSExPDLC0t2cqVKxljBeMGb9y4wXr37s3evXun5uiql4yMDObk5MScnJyYrq4u8/LyYjdu3GBPnz5lXbt2ZRzHae0518hkqrgBgvv27WP6+vp8ye/CT3n37dvHRCIRX6WquCfA06dP5ws02NjYVFp5RYqdYqfYKXaKnWiawtVsGWPszJkzSl2WJBIJa9KkCT8vWmxsLFuxYgXjOI6/2SSkOpA/FDh16hTT1dVlf/31F3v9+jX7/PPPmaGhIWvSpAmLj4+nhwcVbN68eczd3Z39+uuvCoWwfvrpJzZ+/HiWlJSkledco5KpwrNSe3t7Fzsr9caNG4udlXrIkCEKs1LLfxlv375l+/fvZ3Xr1mVisZht2bKFYqfYKXaKnWKv4tiJ+hTuNvPixQvWo0cPxnEcCwgIUEiw7t69y8RiMfv+++/ZiRMnmKOjI7OxsWG//PKLOsImpNL5+/szBwcH5ufnx2rXrs1cXFzY2bNn1R1WtZWZmalQCEuusrvBVzaNSaZKmpW6RYsW/Pw3np6eKs9K/cMPPzBDQ0M2YsSIYp/mUuwUO8VOsVPslRs7UY/CSVReXh6bOXMm4ziONW/enO3du5fvPitPrH/66SfGcRyzs7NjOjo6VT6HGyFVKS8vj3+wYGJiwjZs2KDukIiWUnsyVVmzUsuz3ocPH/KTwlLsFDvFTrFT7FUXO1EPqVSq0FVm+/btzMTEhNnZ2bE1a9awJ0+eFFtUZO7cuYzjODZ+/PgqLVpDiLosXLiQLVy4UGPnLyLaQSOSKW2dlZpip9gpdoqdYieaKjg4mH388cdMT0+PTZs2jV2/fp0vJFGYPLF68OAB322UkJqAKpWSiqD2ZIox7Z6VmmKn2FVFsVPsqtLm2EnVk0qlbNmyZYzjONa7d2/2559/ssTERHWHRQgh1ZJGJFNy2jwrNcVOsVPsFDvFTjTF5cuX2e7du5VaMwkhhFQsITSIQCBQ+O+NGzdQp04duLm5AQB0dHQAAAMHDkSzZs2wa9cuvHnzBunp6bhw4QLatWunnsBBsasLxa4eFLt6aHPspGp5eXmhU6dO/LXCGAPHcWqOihBCqh+OMcbUHURJ+vbti7y8PJw/f55flpeXB11dXTVGVTYUu3pQ7OpBsauHNsdOCCGEVAcCdQdQktjYWNy4cQMdOnQAAOTm5uLmzZsYOHAg4uPj1Rxd6Sh29aDY1YNiVw9tjp0QQgipLjQumZI3lN25cwdpaWno2LEj3rx5g3nz5qFz58548+YNOI6DJjaoUezqQbGrB8WuHtocOyGEEFLdaNSYKQB8n+7bt2/D1tYW//vf/xAYGAg9PT0cPXoUPXv2VHOEJaPY1YNiVw+KXT20OXZCCCGk2qnighdlos2zUlPs6kGxqwfFrh7aHDshhBBSnWhcyxQACIVCNG3aFE2bNkVAQABEIpG6Qyozil09KHb1oNjVQ5tjJ4QQQqoTja3mJ5PJ+JKu2oZiVw+KXT0odvXQ5tgJIYSQ6kJjkylCCCGEEEII0WT0WJMQQgghhBBCyoGSKUIIIYQQQggpB0qmCCGEEEIIIaQcKJkihBBCSLW2detWcByHRo0aqTuUDxIcHAyO4xAcHFyu1wcGBoLjOERERFRoXFWJ4zj4+/ur/LqYmBj4+/vj3r17Suv8/f35OfzUISUlBVZWVvjtt9/4ZWFhYWjfvj2MjY3RvHlzXL16Vel1X3/9NerXr4/s7GyldR07dsScOXMqM2zyL0qmCCGEEFKt/fzzzwCAhw8f4ubNm2qOhqhDTEwMAgICik2mpkyZguvXr1d9UP8KCAiAvb09RowYAQDIz8/H4MGDYWVlhWPHjqFp06YYMGAAUlJS+NdEREQgICAAO3bsgL6+vtI+V65cie+//x5Pnz6tqsOosSiZIoQQQki1dfv2bdy/fx99+vQBAOzevVvNEdU8UqkUOTk56g6jRHXq1EHr1q3V8t5JSUnYuXMnZs6cybeOPX/+HM+fP8cPP/yAbt26YceOHcjOzsaNGzf413322WcYOnQoOnfuXOx+O3XqBDc3N2zatKlKjqMmo2SKEEIIIdWWPHlat24d2rZti99++w0SiURhm4iICHAch40bN+Kbb76Bi4sLxGIx2rRpo3ADCwATJ06EWCzGixcv0Lt3b4jFYjg4OGDevHkKCUNJXfLk7xUYGMgvu337NkaOHAlnZ2cYGBjA2dkZo0aNQmRkZLmP+8aNG2jXrh309fVhb2+PRYsWIS8vr9htf//9d7Rp0wZGRkYQi8Xo0aMH7t69q7Tdjz/+iPr160MkEqFhw4Y4cOAAJk6cCGdnZ6Xj27BhA1atWgUXFxeIRCIEBQUhOzsb8+bNQ9OmTWFqagoLCwu0adMGf/zxh9J7paWlYerUqbC0tIRYLEbPnj3x7Nkzpe1evHgBHx8f1KtXD4aGhqhduzb69euH0NBQfpvg4GB4enoCAHx8fMBxnEJ3weK6+clkMmzYsAHu7u4QiUSwsbHB+PHj8fr1a4XtvLy80KhRI4SEhKBDhw4wNDTERx99hHXr1kEmkxX/yykkMDAQ+fn5fKsUAL7bnpGREQBAV1cXenp6/PKDBw/i9u3b702Uxo0bhwMHDiA9Pf29cZDyo2SKEDWT92GX/9PX14etrS28vb2xdu1avHv3rlz7ffToEfz9/bW6bzwhhHyIrKwsHDx4EJ6enmjUqBEmTZqE9PR0HD58uNjtt2/fjgsXLmDz5s3Yv38/MjMz0bt3b6Smpipsl5eXh/79+6NLly74448/MGnSJHz77bdYv359ueKMiIiAm5sbNm/ejPPnz2P9+vWIjY2Fp6cnEhISVN7fo0eP0KVLF6SkpCAwMBA7duzA3bt3sWrVKqVt16xZg1GjRqFhw4Y4dOgQfv31V6Snp6NDhw549OgRv92uXbswbdo0eHh44NixY1iyZAkCAgJKHL+1detWXL58GRs3bsTZs2fh7u6OnJwcJCUlYf78+Thx4gQOHjyI9u3bY/Dgwfjll1/41zLGMHDgQPz666+YN28ejh8/jtatW6NXr15K7xMTEwNLS0usW7cO586dw/bt2yEUCtGqVSu+i1uzZs2wZ88eAMCSJUtw/fp1XL9+HVOmTCnxHH722WdYuHAhunXrhpMnT2LlypU4d+4c2rZtq/Q7iYuLw5gxYzB27FicPHkSvXr1wqJFi7Bv376Sf0n/On36ND755BOYmZnxy9zd3WFhYYH169cjJSUF27dvR2ZmJlq0aIHk5GR8+eWX+Oabb2BpaVnqvr28vJCZmVnuMXakjBghRK327NnDALA9e/aw69evsytXrrAjR46wOXPmMFNTU2ZhYcEuXLig8n4PHz7MALCgoKCKD5oQQrTAL7/8wgCwHTt2MMYYS09PZ2KxmHXo0EFhu1evXjEArHHjxiw/P59ffuvWLQaAHTx4kF82YcIEBoAdOnRIYR+9e/dmbm5u/M9BQUHFfgfL32vPnj0lxp2fn88yMjKYkZER27Jly3v3WdSIESOYgYEBi4uLU9inu7s7A8BevXrFGGMsKiqKCYVC9sUXXyi8Pj09ndna2rLhw4czxhiTSqXM1taWtWrVSmG7yMhIpqury5ycnJSOz9XVleXm5pYaZ35+PsvLy2OTJ09mn3zyCb/87NmzDIDCsTPG2OrVqxkAtnz58lL3mZuby+rVq8e+/PJLfnlISEiJ53358uWs8C3x48ePGQA2Y8YMhe1u3rzJALDFixfzyzp16sQAsJs3byps27BhQ9ajR49Sj58xxgwNDdmnn36qtPz48ePMxMSEAWAikYjt3LmTMcbY5MmTWdeuXd+7X8YYy83NZRzHsYULF5Zpe1I+1DJFiIZo1KgRWrdujQ4dOmDIkCH49ttv8eDBAxgZGWHw4MF4+/atukMkhBCtsnv3bhgYGGDkyJEAALFYjGHDhuHvv//G8+fPlbbv06cPdHR0+J89PDwAQKm7Hcdx6Nevn8IyDw+PcnfLy8jIwMKFC1G3bl0IhUIIhUKIxWJkZmbi8ePHKu8vKCgIXbp0Qa1atfhlOjo6Cl3JAOD8+fPIz8/H+PHjkZ+fz//T19dHp06d+BaNp0+fIi4uDsOHD1d4vaOjI9q1a1dsDP3794eurq7S8sOHD6Ndu3YQi8UQCoXQ1dXF7t27FY4zKCgIADBmzBiF144ePVppf/n5+VizZg0aNmwIPT09CIVC6Onp4fnz5+U6d4Xff+LEiQrLW7ZsiQYNGuDSpUsKy21tbdGyZUuFZWW5HlJSUiCRSGBjY6O0buDAgXj37h0eP36MxMRETJs2DVeuXMHBgwexY8cOZGVl4fPPP4ednR0cHR3h7+8PxpjCPnR1dWFmZoY3b96U9dBJOVAyRYgGc3R0xKZNm5Ceno6dO3cCKFvf+sDAQAwbNgwA4O3tzXchLNxH/+LFi+jSpQtMTExgaGiIdu3aKf2BIIQQbfXixQtcuXIFffr0AWMMKSkpSElJwdChQwH8V+GvsKLdpkQiEYCC7oKFGRoaKlVQE4lExZaoLovRo0fju+++w5QpU3D+/HncunULQ44NjwAACbRJREFUISEhsLa2VnrvskhMTIStra3S8qLL5A/pPD09oaurq/Dv999/57uzJSYmAoBCciZX3DIAsLOzU1p27NgxDB8+HLVr18a+fftw/fp1hISEYNKkSQrnLjExEUKhUOn3UdwxzZ07F0uXLsXAgQPx559/4ubNmwgJCUGTJk3Kde7k71/SMdjb2/Pr5YrrbicSid77/vL1xVXjk+/D3d0dRkZGyM3NxfTp07FkyRK4urpizZo1uHbtGu7evYtLly7hp59+UvgbL6evr1/u80DKRqjuAAghpevduzd0dHRw5coVAP/1rR85ciQsLCwQGxuLH374AZ6ennj06BGsrKzQp08frFmzBosXL8b27dvRrFkzAICrqysAYN++fRg/fjwGDBiAvXv3QldXFzt37kSPHj1w/vx5dOnSRW3HSwghFeHnn38GYwxHjhzBkSNHlNbv3bsXq1atUmiJqkjyG+SiVeyKjrdJTU3FqVOnsHz5cvj6+vLL5eOLysPS0hJxcXFKy4sus7KyAgAcOXIETk5Ope4PQLE9JIp7HwDFztu0b98+uLi44Pfff1dYX/QcWVpaIj8/H4mJiQqJSnHvJf97tmbNGoXlCQkJCuOQVCF/z9jYWNSpU0dhXUxMDH/ePpT8fcrye16zZg2EQiHmz58PADh79ix8fHxga2sLW1tbDB8+HGfOnIGPj4/C65KTkyssXlI8SqYI0XBGRkawsrJCTEwMAGDo0KH8k1WgoORs3759UatWLRw4cACzZs2CtbU16tWrBwBo2LChQslXiUSC2bNno2/fvjh+/Di/vHfv3mjWrBkWL15M87AQQrSaVCrF3r174erqip9++klp/alTp7Bp0yacPXsWffv2rZQY5BXuHjx4gB49evDLT548qbAdx3FgjPGtYHI//fQTpFJpud7b29sbJ0+exNu3b/mWI6lUit9//11hux49ekAoFCI8PBxDhgwpcX9ubm6wtbXFoUOHMHfuXH55VFQUrl27Bnt7+zLFxXEc9PT0FBKpuLg4pWp+3t7e2LBhA/bv349Zs2bxyw8cOFDsPoueu9OnT+PNmzeoW7cuv6ykVsbiyMuN79u3j68CCAAhISF4/Pgx/Pz83ruPstDT08NHH32E8PDwUrd7+vQpNmzYgMuXL/NdJxljyMzM5LfJyMhQ6uYXExOD7OxsNGzYsELiJcWjZIoQLVD4CzIjIwMrV67E0aNHERERofDHtiz9w69du4akpCRMmDAB+fn5Cut69uyJDRs2IDMzky/JSggh2ubs2bOIiYnB+vXr4eXlpbS+UaNG+O6777B79+5KS6ZsbW3RtWtXrF27Fubm5nBycsKlS5dw7Ngxhe1MTEzQsWNHfP3117CysoKzszP++usv7N69u9wtK0uWLMHJkyfRuXNnLFu2DIaGhnxFuMKcnZ2xYsUK+Pn54eXLl+jZsyfMzc3x9u1b3Lp1C0ZGRggICIBAIEBAQACmT5+OoUOHYtKkSUhJSUFAQADs7OwgEJRt1Ejfvn1x7NgxzJgxA0OHDkV0dDRWrlwJOzs7hTFs3bt3R8eOHfHVV1/xVeyuXr2KX3/9tdh9BgYGwt3dHR4eHvjnn3/w9ddfK7Uoubq6wsDAAPv370eDBg0gFothb29fbCLo5uaGadOmYdu2bRAIBOjVqxciIiKwdOlSODg44MsvvyzT8ZaFl5cXzp49W+J6xhimTZsGHx8fhQejPXr0wNatW1GvXj1kZGTgwIED2Lx5s8Jr5WX9vb29KyxeUgz11b4ghDD2XzW/kJCQYtdnZGQwHR0d1qVLF8YYY/369WOGhoZs7dq17OLFi+zWrVssJCSEWVtbswkTJvCvK6ma3759+xiAUv9FRUVV1uESQkilGzhwINPT02Pv3r0rcZuRI0cyoVDI4uLi+Ap0X3/9tdJ2KFI9bsKECczIyEhpu6IV4RhjLDY2lg0dOpRZWFgwU1NTNnbsWHb79m2lqnKvX79mQ4YMYebm5szY2Jj17NmThYWFMScnJ4Xv9bJW82OMsatXr7LWrVszkUjEbG1t2YIFC9iuXbsUqvnJnThxgnl7ezMTExMmEomYk5MTGzp0KLt48aLCdrt27WJ169Zlenp6rH79+uznn39mAwYMUKjEV9q5ZIyxdevWMWdnZyYSiViDBg3Yjz/+WOy5S0lJYZMmTWJmZmbM0NCQdevWjT158kTp95GcnMwmT57MbGxsmKGhIWvfvj37+++/WadOnVinTp0U9nnw4EHm7u7OdHV1FfZT3PtLpVK2fv16Vr9+faarq8usrKzY2LFjWXR0tMJ2nTp1Yh9//LHScU6YMEGhymFJLl26xACwW7duFbv+p59+Yvb29iw1NVVheUZGBpsyZQqztLRktWrVYr6+vkwqlSpsM27cONa4ceP3xkA+DMdYkTZBQkiVCgwMhI+PD0JCQtCiRQul9YcOHcKIESOwcuVKfPHFFzA3N8fy5cuxfPlyfpucnBwYGRlh7Nix/ADUI0eOYNiwYQgKClJ4Mnv+/Hn07NkT27ZtK3HGdw8PD+jp6VXocRJCCKleUlJSUL9+fQwcOBC7du1Sdzhay8PDA+3atcMPP/xQYftMS0uDvb09vv32W0ydOrXC9kuUUTc/QjRYVFQU5s+fD1NTU0yfPl2lvvUl9Q9v164dzMzM8OjRI3z++eeVewCEEEKqhbi4OKxevRre3t6wtLREZGQkvv32W6Snp2P27NnqDk+rbdiwAYMGDYKfn59S98Ty+vbbb+Ho6KhUkIJUPEqmCNEQYWFh/Bwf7969w99//409e/ZAR0cHx48fh7W1NQCUuW99o0aNABTMWm9sbAx9fX24uLjA0tIS27Ztw4QJE5CUlIShQ4fCxsYG8fHxuH//PuLj4yv06RghhBDtJxKJEBERgRkzZiApKQmGhoZo3bo1duzYgY8//ljd4Wm1nj174uuvv8arV68qLJkyMTFBYGAghEK61a9s1M2PEDWTd/OT09PTg5mZGRo0aIAePXpgypQpfCIFAG/evMHs2bNx+fJl5Ofno127dti4cSP69OkDLy8vhXkmtmzZgi1btiAqKgpSqRR79uzhJyG8cuUKNmzYgOvXryM9PR02NjZo2rQpJk6cqFAtkBBCCCGEFI+SKUIIIYQQQggph7LVsiSEEEIIIYQQooCSKUIIIYQQQggpB0qmCCGEEEIIIaQcKJkihBBCCCGEkHKgZIoQQgghhBBCyoGSKUIIIYQQQggpB0qmCCGEEEIIIaQcKJkihBBCCCGEkHKgZIoQQgghhBBCyoGSKUIIIYQQQggpB0qmCCGEEEIIIaQc/h/0S61QJZv0/gAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62327,7 +62309,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]

From 78d2403a65133d34476f3d6ed9234e20b293ec4c Mon Sep 17 00:00:00 2001
From: Michael Deceglie <Michael.Deceglie@nrel.gov>
Date: Mon, 29 Apr 2024 13:00:39 -0600
Subject: [PATCH 25/27] update change log

---
 docs/sphinx/source/changelog/pending.rst | 16 ++++++++++++----
 1 file changed, 12 insertions(+), 4 deletions(-)

diff --git a/docs/sphinx/source/changelog/pending.rst b/docs/sphinx/source/changelog/pending.rst
index 751054be..b9f934f7 100644
--- a/docs/sphinx/source/changelog/pending.rst
+++ b/docs/sphinx/source/changelog/pending.rst
@@ -1,10 +1,17 @@
-********************************
+*******
 pending
-********************************
+*******
+
+Breaking changes
+------------
+These changes have the potential to change answers in existing scripts
+when compared with older versions of RdTools
+* Use the pvlib method for clear sky detection by default in
+:py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:'412')
 
 Enhancements
 ------------
-* added a new wrapper function for clearsky filters
+* Added a new wrapper function for clearsky filters (:pull:'412')
 
 Bug fixes
 ---------
@@ -12,7 +19,8 @@ Bug fixes
 
 Requirements
 ------------
-* tbd
+* Specified versions in ``requirements.txt`` and ``docs/notebook_requirements.txt``
+have been updated (:pull:'412')
 
 Contributors
 ------------

From 846779cbd3d2ac2d81c3cd46124d94151176a9ec Mon Sep 17 00:00:00 2001
From: Michael Deceglie <Michael.Deceglie@nrel.gov>
Date: Mon, 29 Apr 2024 13:08:10 -0600
Subject: [PATCH 26/27] add line to change log

---
 docs/sphinx/source/changelog/pending.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/sphinx/source/changelog/pending.rst b/docs/sphinx/source/changelog/pending.rst
index b9f934f7..b462fbd2 100644
--- a/docs/sphinx/source/changelog/pending.rst
+++ b/docs/sphinx/source/changelog/pending.rst
@@ -6,6 +6,7 @@ Breaking changes
 ------------
 These changes have the potential to change answers in existing scripts
 when compared with older versions of RdTools
+
 * Use the pvlib method for clear sky detection by default in
 :py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:'412')
 

From 86a866cf6c74b7c3e473cbbd1c4d6554279c574c Mon Sep 17 00:00:00 2001
From: Michael Deceglie <Michael.Deceglie@nrel.gov>
Date: Mon, 29 Apr 2024 13:13:36 -0600
Subject: [PATCH 27/27] further changelog fixes

---
 docs/sphinx/source/changelog/pending.rst | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/docs/sphinx/source/changelog/pending.rst b/docs/sphinx/source/changelog/pending.rst
index b462fbd2..7a5252ed 100644
--- a/docs/sphinx/source/changelog/pending.rst
+++ b/docs/sphinx/source/changelog/pending.rst
@@ -7,12 +7,11 @@ Breaking changes
 These changes have the potential to change answers in existing scripts
 when compared with older versions of RdTools
 
-* Use the pvlib method for clear sky detection by default in
-:py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:'412')
+* Use the pvlib method for clear sky detection by default in :py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:`412`)
 
 Enhancements
 ------------
-* Added a new wrapper function for clearsky filters (:pull:'412')
+* Added a new wrapper function for clearsky filters (:pull:`412`)
 
 Bug fixes
 ---------
@@ -20,8 +19,7 @@ Bug fixes
 
 Requirements
 ------------
-* Specified versions in ``requirements.txt`` and ``docs/notebook_requirements.txt``
-have been updated (:pull:'412')
+* Specified versions in ``requirements.txt`` and ``docs/notebook_requirements.txt`` have been updated (:pull:`412`)
 
 Contributors
 ------------