From 84a029df7a72e34c44937ad1ffca46943fadacf3 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 14:21:21 +0100 Subject: [PATCH 01/21] changed output to SparseData --- eitprocessing/parameters/eeli.py | 47 ++++++++++++++++++++++++++++++-- 1 file changed, 44 insertions(+), 3 deletions(-) diff --git a/eitprocessing/parameters/eeli.py b/eitprocessing/parameters/eeli.py index bcce290d8..44623af15 100644 --- a/eitprocessing/parameters/eeli.py +++ b/eitprocessing/parameters/eeli.py @@ -5,6 +5,8 @@ from eitprocessing.categories import check_category from eitprocessing.datahandling.continuousdata import ContinuousData +from eitprocessing.datahandling.sequence import Sequence +from eitprocessing.datahandling.sparsedata import SparseData from eitprocessing.features.breath_detection import BreathDetection from eitprocessing.parameters import ParameterCalculation @@ -22,7 +24,13 @@ def __post_init__(self): msg = f"Method {self.method} is not valid. Use any of {', '.join(_methods)}" raise ValueError(msg) - def compute_parameter(self, continuous_data: ContinuousData) -> np.ndarray: + def compute_parameter( + self, + continuous_data: ContinuousData, + sequence: Sequence | None = None, + store: bool | None = None, + result_label: str = "continuous_eelis", + ) -> SparseData: """Compute the EELI for each breath in the impedance data. Example: @@ -33,10 +41,29 @@ def compute_parameter(self, continuous_data: ContinuousData) -> np.ndarray: Args: continuous_data: a ContinuousData object containing impedance data. + sequence: optional, Sequence to store the result in. + store: whether to store the result in the sequence, defaults to `True` if a Sequence if provided. + result_label: label of the returned SparseData object, defaults to `'continuous_eelis'`. Returns: - np.ndarray: the end-expiratory values of all breaths in the impedance data. + A SparseData object with the end-expiratory values of all breaths in the impedance data. + + Raises: + RuntimeError: If store is set to true but no sequence is provided. + ValueError: If the provided sequence is not an instance of the Sequence dataclass. + ValueError: If tiv_method is not one of 'inspiratory', 'expiratory', or 'mean'. """ + if store is None and isinstance(sequence, Sequence): + store = True + + if store and sequence is None: + msg = "Can't store the result if no Sequence is provided." + raise RuntimeError(msg) + + if store and not isinstance(sequence, Sequence): + msg = "To store the result a Sequence dataclass must be provided." + raise ValueError(msg) + check_category(continuous_data, "impedance", raise_=True) bd_kwargs = self.breath_detection_kwargs.copy() @@ -49,4 +76,18 @@ def compute_parameter(self, continuous_data: ContinuousData) -> np.ndarray: _, _, end_expiratory_times = zip(*breaths.values, strict=True) end_expiratory_indices = np.flatnonzero(np.isin(continuous_data.time, end_expiratory_times)) - return continuous_data.values[end_expiratory_indices] + eeli_container = SparseData( + label=result_label, + name="End-expiratory lung impedance (EELI)", + unit=None, + category="impedance", + time=continuous_data.time, + description="End-expiratory lung impedance (EELI) determined on continuous data", + parameters=self.breath_detection_kwargs, + derived_from=[continuous_data], + values=continuous_data.values[end_expiratory_indices], + ) + if store: + sequence.sparse_data.add(eeli_container) + + return eeli_container From 28d8e9319299c706f4f6256fb80c6a0cd263f459 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 14:21:33 +0100 Subject: [PATCH 02/21] fixed error in docstring --- eitprocessing/parameters/tidal_impedance_variation.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/eitprocessing/parameters/tidal_impedance_variation.py b/eitprocessing/parameters/tidal_impedance_variation.py index 70db7443b..f33dddb67 100644 --- a/eitprocessing/parameters/tidal_impedance_variation.py +++ b/eitprocessing/parameters/tidal_impedance_variation.py @@ -63,7 +63,7 @@ def compute_continuous_parameter( result_label: label of the returned SparseData object, defaults to `'continuous_tivs'`. Returns: - A list with the computed TIV values. + A SparseData object with the computed TIV values. Raises: RuntimeError: If store is set to true but no sequence is provided. @@ -136,7 +136,7 @@ def compute_pixel_parameter( store: whether to store the result in the sequence, defaults to `True` if a Sequence if provided. Returns: - An np.ndarray with the computed TIV values. + A SparseData object with the computed TIV values. Raises: RuntimeError: If store is set to true but no sequence is provided. From 7f8edb90aadf63d7e848011a690eb1c160b1bc7f Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 14:21:55 +0100 Subject: [PATCH 03/21] make notebook work with sparsedata configuration --- notebooks/test_parameter_eeli_.ipynb | 38 ++++++++++++++++++++-------- 1 file changed, 27 insertions(+), 11 deletions(-) diff --git a/notebooks/test_parameter_eeli_.ipynb b/notebooks/test_parameter_eeli_.ipynb index 7abc0cf31..5a1a611a0 100644 --- a/notebooks/test_parameter_eeli_.ipynb +++ b/notebooks/test_parameter_eeli_.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "id": "58e6580f", "metadata": {}, "outputs": [], @@ -27,12 +27,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 2, "id": "5be01072", "metadata": {}, "outputs": [], "source": [ - "sequence = load_eit_data(\"tests/test_data/Draeger_Test.bin\", vendor=\"draeger\")" + "sequence = load_eit_data(\"/Users/juliettefrancovich/Documents/KT/TM3/eitprocessing/tests/test_data/Draeger_Test.bin\", vendor=\"draeger\")\n", + "#sequence = load_eit_data(\"tests/test_data/Draeger_Test.bin\", vendor=\"draeger\")" ] }, { @@ -45,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 3, "id": "abe2e6c4", "metadata": {}, "outputs": [], @@ -83,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 4, "id": "7936ca6f", "metadata": {}, "outputs": [], @@ -101,13 +102,28 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 6, "id": "16d63d41", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for *: 'NoneType' and 'int'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m eeli_result \u001b[38;5;241m=\u001b[39m EELI()\u001b[38;5;241m.\u001b[39mcompute_parameter(sequence\u001b[38;5;241m.\u001b[39mcontinuous_data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mglobal_impedance_(raw)\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m----> 2\u001b[0m eeli_result_filtered \u001b[38;5;241m=\u001b[39m \u001b[43mEELI\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute_parameter\u001b[49m\u001b[43m(\u001b[49m\u001b[43msequence\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontinuous_data\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mglobal_impedance_(lowpass)\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/parameters/eeli.py:71\u001b[0m, in \u001b[0;36mEELI.compute_parameter\u001b[0;34m(self, continuous_data, sequence, store, result_label)\u001b[0m\n\u001b[1;32m 69\u001b[0m bd_kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbreath_detection_kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 70\u001b[0m breath_detection \u001b[38;5;241m=\u001b[39m BreathDetection(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mbd_kwargs)\n\u001b[0;32m---> 71\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[43mbreath_detection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfind_breaths\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcontinuous_data\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(breaths):\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray([], dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mfloat\u001b[39m)\n", + "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/features/breath_detection.py:111\u001b[0m, in \u001b[0;36mBreathDetection.find_breaths\u001b[0;34m(self, continuous_data, result_label, sequence, store)\u001b[0m\n\u001b[1;32m 108\u001b[0m invalid_data_indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_detect_invalid_data(data)\n\u001b[1;32m 109\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_invalid_data(data, invalid_data_indices)\n\u001b[0;32m--> 111\u001b[0m peak_indices, valley_indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_detect_peaks_and_valleys\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_frequency\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 113\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_breaths_from_peak_valley_data(\n\u001b[1;32m 114\u001b[0m time,\n\u001b[1;32m 115\u001b[0m peak_indices,\n\u001b[1;32m 116\u001b[0m valley_indices,\n\u001b[1;32m 117\u001b[0m )\n\u001b[1;32m 118\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_breaths_around_invalid_data(breaths, time, sample_frequency, invalid_data_indices)\n", + "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/features/breath_detection.py:172\u001b[0m, in \u001b[0;36mBreathDetection._detect_peaks_and_valleys\u001b[0;34m(self, data, sample_frequency)\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_detect_peaks_and_valleys\u001b[39m(\u001b[38;5;28mself\u001b[39m, data: np\u001b[38;5;241m.\u001b[39mndarray, sample_frequency: \u001b[38;5;28mfloat\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mtuple\u001b[39m[np\u001b[38;5;241m.\u001b[39mndarray, np\u001b[38;5;241m.\u001b[39mndarray]:\n\u001b[0;32m--> 172\u001b[0m window_size \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(\u001b[43msample_frequency\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maveraging_window_duration\u001b[49m)\n\u001b[1;32m 173\u001b[0m averager \u001b[38;5;241m=\u001b[39m MovingAverage(window_size\u001b[38;5;241m=\u001b[39mwindow_size, window_function\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maveraging_window_function)\n\u001b[1;32m 174\u001b[0m moving_average \u001b[38;5;241m=\u001b[39m averager\u001b[38;5;241m.\u001b[39mapply(data)\n", + "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for *: 'NoneType' and 'int'" + ] + } + ], "source": [ - "eeli_result = EELI().compute_parameter(sequence, \"global_impedance_(raw)\")\n", - "eeli_result_filtered = EELI().compute_parameter(sequence, \"global_impedance_(lowpass)\")" + "eeli_result = EELI().compute_parameter(sequence.continuous_data[\"global_impedance_(raw)\"])\n", + "eeli_result_filtered = EELI().compute_parameter(sequence.continuous_data[\"global_impedance_(lowpass)\"])" ] }, { @@ -191,7 +207,7 @@ "custom_cell_magics": "kql" }, "kernelspec": { - "display_name": "alive", + "display_name": "ALIVE", "language": "python", "name": "python3" }, @@ -205,7 +221,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.10.11" } }, "nbformat": 4, From 0075a31f2e9e87f5a502ef886f421ec78c7c3a7c Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 14:36:29 +0100 Subject: [PATCH 04/21] added sample_frequency to eeli to work with updated breath detection --- notebooks/test_parameter_eeli_.ipynb | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/notebooks/test_parameter_eeli_.ipynb b/notebooks/test_parameter_eeli_.ipynb index 5a1a611a0..bb4782cb5 100644 --- a/notebooks/test_parameter_eeli_.ipynb +++ b/notebooks/test_parameter_eeli_.ipynb @@ -70,6 +70,7 @@ " parameters={LowPassFilter: filter_params},\n", " time=gi.time,\n", " values=filter_.apply_filter(gi.values),\n", + " sample_frequency= gi.sample_frequency,\n", " ),\n", ")" ] @@ -102,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "16d63d41", "metadata": {}, "outputs": [ @@ -113,7 +114,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m eeli_result \u001b[38;5;241m=\u001b[39m EELI()\u001b[38;5;241m.\u001b[39mcompute_parameter(sequence\u001b[38;5;241m.\u001b[39mcontinuous_data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mglobal_impedance_(raw)\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m----> 2\u001b[0m eeli_result_filtered \u001b[38;5;241m=\u001b[39m \u001b[43mEELI\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute_parameter\u001b[49m\u001b[43m(\u001b[49m\u001b[43msequence\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontinuous_data\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mglobal_impedance_(lowpass)\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[8], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m cd_filtered \u001b[38;5;241m=\u001b[39m sequence\u001b[38;5;241m.\u001b[39mcontinuous_data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mglobal_impedance_(lowpass)\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 3\u001b[0m eeli_result \u001b[38;5;241m=\u001b[39m EELI()\u001b[38;5;241m.\u001b[39mcompute_parameter(continuous_data\u001b[38;5;241m=\u001b[39m cd)\n\u001b[0;32m----> 4\u001b[0m eeli_result_filtered \u001b[38;5;241m=\u001b[39m \u001b[43mEELI\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute_parameter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcd_filtered\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/parameters/eeli.py:71\u001b[0m, in \u001b[0;36mEELI.compute_parameter\u001b[0;34m(self, continuous_data, sequence, store, result_label)\u001b[0m\n\u001b[1;32m 69\u001b[0m bd_kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbreath_detection_kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 70\u001b[0m breath_detection \u001b[38;5;241m=\u001b[39m BreathDetection(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mbd_kwargs)\n\u001b[0;32m---> 71\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[43mbreath_detection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfind_breaths\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcontinuous_data\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(breaths):\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray([], dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mfloat\u001b[39m)\n", "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/features/breath_detection.py:111\u001b[0m, in \u001b[0;36mBreathDetection.find_breaths\u001b[0;34m(self, continuous_data, result_label, sequence, store)\u001b[0m\n\u001b[1;32m 108\u001b[0m invalid_data_indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_detect_invalid_data(data)\n\u001b[1;32m 109\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_invalid_data(data, invalid_data_indices)\n\u001b[0;32m--> 111\u001b[0m peak_indices, valley_indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_detect_peaks_and_valleys\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_frequency\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 113\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_breaths_from_peak_valley_data(\n\u001b[1;32m 114\u001b[0m time,\n\u001b[1;32m 115\u001b[0m peak_indices,\n\u001b[1;32m 116\u001b[0m valley_indices,\n\u001b[1;32m 117\u001b[0m )\n\u001b[1;32m 118\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_breaths_around_invalid_data(breaths, time, sample_frequency, invalid_data_indices)\n", "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/features/breath_detection.py:172\u001b[0m, in \u001b[0;36mBreathDetection._detect_peaks_and_valleys\u001b[0;34m(self, data, sample_frequency)\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_detect_peaks_and_valleys\u001b[39m(\u001b[38;5;28mself\u001b[39m, data: np\u001b[38;5;241m.\u001b[39mndarray, sample_frequency: \u001b[38;5;28mfloat\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mtuple\u001b[39m[np\u001b[38;5;241m.\u001b[39mndarray, np\u001b[38;5;241m.\u001b[39mndarray]:\n\u001b[0;32m--> 172\u001b[0m window_size \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(\u001b[43msample_frequency\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maveraging_window_duration\u001b[49m)\n\u001b[1;32m 173\u001b[0m averager \u001b[38;5;241m=\u001b[39m MovingAverage(window_size\u001b[38;5;241m=\u001b[39mwindow_size, window_function\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maveraging_window_function)\n\u001b[1;32m 174\u001b[0m moving_average \u001b[38;5;241m=\u001b[39m averager\u001b[38;5;241m.\u001b[39mapply(data)\n", @@ -122,8 +123,10 @@ } ], "source": [ - "eeli_result = EELI().compute_parameter(sequence.continuous_data[\"global_impedance_(raw)\"])\n", - "eeli_result_filtered = EELI().compute_parameter(sequence.continuous_data[\"global_impedance_(lowpass)\"])" + "cd = sequence.continuous_data[\"global_impedance_(raw)\"]\n", + "cd_filtered = sequence.continuous_data[\"global_impedance_(lowpass)\"]\n", + "eeli_result = EELI().compute_parameter(cd)\n", + "eeli_result_filtered = EELI().compute_parameter(cd_filtered)" ] }, { From 69edf26c535b72066e069e2901b60d43f3c15e00 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 14:47:18 +0100 Subject: [PATCH 05/21] changed plotting to work with new format --- notebooks/test_parameter_eeli_.ipynb | 47 +++++++++++++--------------- 1 file changed, 22 insertions(+), 25 deletions(-) diff --git a/notebooks/test_parameter_eeli_.ipynb b/notebooks/test_parameter_eeli_.ipynb index bb4782cb5..d009db7d0 100644 --- a/notebooks/test_parameter_eeli_.ipynb +++ b/notebooks/test_parameter_eeli_.ipynb @@ -103,30 +103,15 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "id": "16d63d41", "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for *: 'NoneType' and 'int'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[8], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m cd_filtered \u001b[38;5;241m=\u001b[39m sequence\u001b[38;5;241m.\u001b[39mcontinuous_data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mglobal_impedance_(lowpass)\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 3\u001b[0m eeli_result \u001b[38;5;241m=\u001b[39m EELI()\u001b[38;5;241m.\u001b[39mcompute_parameter(continuous_data\u001b[38;5;241m=\u001b[39m cd)\n\u001b[0;32m----> 4\u001b[0m eeli_result_filtered \u001b[38;5;241m=\u001b[39m \u001b[43mEELI\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute_parameter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcd_filtered\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/parameters/eeli.py:71\u001b[0m, in \u001b[0;36mEELI.compute_parameter\u001b[0;34m(self, continuous_data, sequence, store, result_label)\u001b[0m\n\u001b[1;32m 69\u001b[0m bd_kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbreath_detection_kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 70\u001b[0m breath_detection \u001b[38;5;241m=\u001b[39m BreathDetection(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mbd_kwargs)\n\u001b[0;32m---> 71\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[43mbreath_detection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfind_breaths\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcontinuous_data\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(breaths):\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray([], dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mfloat\u001b[39m)\n", - "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/features/breath_detection.py:111\u001b[0m, in \u001b[0;36mBreathDetection.find_breaths\u001b[0;34m(self, continuous_data, result_label, sequence, store)\u001b[0m\n\u001b[1;32m 108\u001b[0m invalid_data_indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_detect_invalid_data(data)\n\u001b[1;32m 109\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_invalid_data(data, invalid_data_indices)\n\u001b[0;32m--> 111\u001b[0m peak_indices, valley_indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_detect_peaks_and_valleys\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_frequency\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 113\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_breaths_from_peak_valley_data(\n\u001b[1;32m 114\u001b[0m time,\n\u001b[1;32m 115\u001b[0m peak_indices,\n\u001b[1;32m 116\u001b[0m valley_indices,\n\u001b[1;32m 117\u001b[0m )\n\u001b[1;32m 118\u001b[0m breaths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_breaths_around_invalid_data(breaths, time, sample_frequency, invalid_data_indices)\n", - "File \u001b[0;32m~/Documents/KT/TM3/eitprocessing/eitprocessing/features/breath_detection.py:172\u001b[0m, in \u001b[0;36mBreathDetection._detect_peaks_and_valleys\u001b[0;34m(self, data, sample_frequency)\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_detect_peaks_and_valleys\u001b[39m(\u001b[38;5;28mself\u001b[39m, data: np\u001b[38;5;241m.\u001b[39mndarray, sample_frequency: \u001b[38;5;28mfloat\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mtuple\u001b[39m[np\u001b[38;5;241m.\u001b[39mndarray, np\u001b[38;5;241m.\u001b[39mndarray]:\n\u001b[0;32m--> 172\u001b[0m window_size \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(\u001b[43msample_frequency\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maveraging_window_duration\u001b[49m)\n\u001b[1;32m 173\u001b[0m averager \u001b[38;5;241m=\u001b[39m MovingAverage(window_size\u001b[38;5;241m=\u001b[39mwindow_size, window_function\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maveraging_window_function)\n\u001b[1;32m 174\u001b[0m moving_average \u001b[38;5;241m=\u001b[39m averager\u001b[38;5;241m.\u001b[39mapply(data)\n", - "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for *: 'NoneType' and 'int'" - ] - } - ], + "outputs": [], "source": [ "cd = sequence.continuous_data[\"global_impedance_(raw)\"]\n", "cd_filtered = sequence.continuous_data[\"global_impedance_(lowpass)\"]\n", - "eeli_result = EELI().compute_parameter(cd)\n", - "eeli_result_filtered = EELI().compute_parameter(cd_filtered)" + "eeli_result = EELI().compute_parameter(cd).values\n", + "eeli_result_filtered = EELI().compute_parameter(cd_filtered).values" ] }, { @@ -142,13 +127,24 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 6, "id": "86a5f81e", "metadata": {}, "outputs": [ + { + "ename": "IndexError", + "evalue": "only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 16\u001b[0m\n\u001b[1;32m 13\u001b[0m sd_lower \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmean(result) \u001b[38;5;241m-\u001b[39m np\u001b[38;5;241m.\u001b[39mstd(result)\n\u001b[1;32m 15\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(gi\u001b[38;5;241m.\u001b[39mtime, gi\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[0;32m---> 16\u001b[0m ax\u001b[38;5;241m.\u001b[39maxhline(\u001b[43mresult\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmean\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mred\u001b[39m\u001b[38;5;124m\"\u001b[39m, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMean\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 17\u001b[0m ax\u001b[38;5;241m.\u001b[39maxhline(result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmedian\u001b[39m\u001b[38;5;124m\"\u001b[39m], color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgreen\u001b[39m\u001b[38;5;124m\"\u001b[39m, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMedian\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 18\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(\n\u001b[1;32m 19\u001b[0m gi\u001b[38;5;241m.\u001b[39mtime[result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindices\u001b[39m\u001b[38;5;124m\"\u001b[39m]],\n\u001b[1;32m 20\u001b[0m result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalues\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 23\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEELIs\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 24\u001b[0m )\n", + "\u001b[0;31mIndexError\u001b[0m: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices" + ] + }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -158,6 +154,7 @@ } ], "source": [ + "import numpy as np\n", "fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)\n", "for ax, result, gi in zip(\n", " (ax1, ax2),\n", @@ -168,12 +165,12 @@ " ),\n", " strict=False,\n", "):\n", - " sd_upper = result[\"mean\"] + result[\"standard deviation\"]\n", - " sd_lower = result[\"mean\"] - result[\"standard deviation\"]\n", + " sd_upper = np.mean(result) + np.std(result)\n", + " sd_lower = np.mean(result) - np.std(result)\n", "\n", " ax.plot(gi.time, gi.values)\n", - " ax.axhline(result[\"mean\"], color=\"red\", label=\"Mean\")\n", - " ax.axhline(result[\"median\"], color=\"green\", label=\"Median\")\n", + " ax.axhline(np.mean(result), color=\"red\", label=\"Mean\")\n", + " ax.axhline(np.median(result), color=\"green\", label=\"Median\")\n", " ax.plot(\n", " gi.time[result[\"indices\"]],\n", " result[\"values\"],\n", From 3a8c83464187be27122fa52903d76c59d0dcf5c8 Mon Sep 17 00:00:00 2001 From: Peter Somhorst Date: Tue, 29 Oct 2024 15:12:55 +0100 Subject: [PATCH 06/21] Add check for length of time/interval and values at init --- eitprocessing/datahandling/continuousdata.py | 4 ++++ eitprocessing/datahandling/intervaldata.py | 4 ++++ eitprocessing/datahandling/sparsedata.py | 5 +++++ 3 files changed, 13 insertions(+) diff --git a/eitprocessing/datahandling/continuousdata.py b/eitprocessing/datahandling/continuousdata.py index 991c9ee16..23776badd 100644 --- a/eitprocessing/datahandling/continuousdata.py +++ b/eitprocessing/datahandling/continuousdata.py @@ -60,6 +60,10 @@ def __post_init__(self) -> None: ) warnings.warn(msg, DeprecationWarning) + if (lv := len(self.values)) != (lt := len(self.time)): + msg = f"The number of time points ({lt}) does not match the number of values ({lv})." + raise ValueError(msg) + def __setattr__(self, attr: str, value: Any): # noqa: ANN401 try: old_value = getattr(self, attr) diff --git a/eitprocessing/datahandling/intervaldata.py b/eitprocessing/datahandling/intervaldata.py index 6e991bb26..bcd8bcbf5 100644 --- a/eitprocessing/datahandling/intervaldata.py +++ b/eitprocessing/datahandling/intervaldata.py @@ -63,6 +63,10 @@ class IntervalData(DataContainer, SelectByIndex, HasTimeIndexer): def __post_init__(self) -> None: self.intervals = [Interval._make(interval) for interval in self.intervals] + if self.has_values and (lv := len(self.values)) != (lt := len(self.intervals)): + msg = f"The number of time points ({lt}) does not match the number of values ({lv})." + raise ValueError(msg) + def __len__(self) -> int: return len(self.intervals) diff --git a/eitprocessing/datahandling/sparsedata.py b/eitprocessing/datahandling/sparsedata.py index d9ba1c6d6..6b054cf4b 100644 --- a/eitprocessing/datahandling/sparsedata.py +++ b/eitprocessing/datahandling/sparsedata.py @@ -52,6 +52,11 @@ def __repr__(self) -> str: def __len__(self) -> int: return len(self.time) + def __post_init__(self): + if self.has_values and (lv := len(self.values)) != (lt := len(self.time)): + msg = f"The number of time points ({lt}) does not match the number of values ({lv})." + raise ValueError(msg) + @property def has_values(self) -> bool: """True if the SparseData has values, False otherwise.""" From 6de8a502459e4ecce677de038e253df3d87e32f4 Mon Sep 17 00:00:00 2001 From: Peter Somhorst Date: Tue, 29 Oct 2024 15:15:59 +0100 Subject: [PATCH 07/21] Fix sparsedata tests for non-matching lenghts --- tests/test_sparsedata.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/tests/test_sparsedata.py b/tests/test_sparsedata.py index bce3ec69d..d706cf8e9 100644 --- a/tests/test_sparsedata.py +++ b/tests/test_sparsedata.py @@ -24,13 +24,15 @@ def sparsedata_novalues(): def sparsedata_valueslist(): """SparseData object with random values as list at random time points.""" n = random.randint(50, 150) + time = np.array(sorted({random.randint(0, 1000) for _ in range(n)})) + values = [random.random() for _ in range(len(time))] return SparseData( label="sparsedata_valueslist", name="SparseData with values as list", unit=None, category="dummy", - time=np.array(sorted({random.randint(0, 1000) for _ in range(n)})), - values=[random.random() for _ in range(n)], + time=time, + values=values, ) @@ -38,13 +40,15 @@ def sparsedata_valueslist(): def sparsedata_valuesarray(): """SparseData object with random values as array at random time points.""" n = random.randint(50, 150) + time = np.array(sorted({random.randint(0, 1000) for _ in range(n)})) + values = np.array([random.random() for _ in range(len(time))]) return SparseData( label="sparsedata_valuesarray", name="SparseData with values as array", unit=None, category="dummy", - time=np.array(sorted({random.randint(0, 1000) for _ in range(n)})), - values=np.array([random.random() for _ in range(n)]), + time=time, + values=values, ) From fa7700dd63840798797ad0d0262bb4c65084a4a1 Mon Sep 17 00:00:00 2001 From: Peter Somhorst Date: Tue, 29 Oct 2024 15:20:06 +0100 Subject: [PATCH 08/21] Add length check to EITData --- eitprocessing/datahandling/eitdata.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/eitprocessing/datahandling/eitdata.py b/eitprocessing/datahandling/eitdata.py index b7108fc65..7e95a0f80 100644 --- a/eitprocessing/datahandling/eitdata.py +++ b/eitprocessing/datahandling/eitdata.py @@ -59,6 +59,10 @@ def __post_init__(self): self.name = self.name or self.label + if (lv := len(self.pixel_impedance)) != (lt := len(self.time)): + msg = f"The number of time points ({lt}) does not match the number of pixel impedance values ({lv})." + raise ValueError(msg) + @property def framerate(self) -> float: """Deprecated alias to `sample_frequency`.""" From 98d3ca47cb5e6708b340750cf85a645100a414ca Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 16:21:43 +0100 Subject: [PATCH 09/21] adjusted time in SparseData to be the time points of EELI in the data --- eitprocessing/parameters/eeli.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/eitprocessing/parameters/eeli.py b/eitprocessing/parameters/eeli.py index 44623af15..9c0de7b07 100644 --- a/eitprocessing/parameters/eeli.py +++ b/eitprocessing/parameters/eeli.py @@ -81,7 +81,7 @@ def compute_parameter( name="End-expiratory lung impedance (EELI)", unit=None, category="impedance", - time=continuous_data.time, + time=[breath.end_time for breath in breaths.values if breath is not None], description="End-expiratory lung impedance (EELI) determined on continuous data", parameters=self.breath_detection_kwargs, derived_from=[continuous_data], From 789c25272209afddb0ee3154c7a7befdbb772389 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 16:22:07 +0100 Subject: [PATCH 10/21] adjusted the time in SparseData to be the time points of TIV rather than entire time axis --- .../parameters/tidal_impedance_variation.py | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/eitprocessing/parameters/tidal_impedance_variation.py b/eitprocessing/parameters/tidal_impedance_variation.py index f33dddb67..09119d29a 100644 --- a/eitprocessing/parameters/tidal_impedance_variation.py +++ b/eitprocessing/parameters/tidal_impedance_variation.py @@ -99,7 +99,7 @@ def compute_continuous_parameter( name="Continuous tidal impedance variation", unit=None, category="impedance difference", - time=continuous_data.time, + time=[breath.middle_time for breath in breaths.values if breath is not None], description="Tidal impedance variation determined on continuous data", parameters=self.breath_detection_kwargs, derived_from=[continuous_data], @@ -186,6 +186,7 @@ def compute_pixel_parameter( number_of_breaths = len(breath_data) all_pixels_tiv_values = np.full((number_of_breaths, n_rows, n_cols), None, dtype=object) + all_pixels_breath_timings = np.full((number_of_breaths, n_rows, n_cols), None, dtype=object) for row, col in itertools.product(range(n_rows), range(n_cols)): time_series = data[:, row, col] @@ -197,6 +198,12 @@ def compute_pixel_parameter( tiv_method, tiv_timing, ) + # Get the middle times of each breath where breath is not None + pixel_breath_timings = [breath.middle_time for breath in breaths if breath is not None] + + # Store these in all_pixels_breath_timings, ensuring they match the expected shape + all_pixels_breath_timings[: len(pixel_breath_timings), row, col] = pixel_breath_timings + all_pixels_tiv_values[:, row, col] = pixel_tiv_values tiv_container = SparseData( @@ -204,12 +211,13 @@ def compute_pixel_parameter( name="Pixel tidal impedance variation", unit=None, category="impedance difference", - time=eit_data.time, + time=list(all_pixels_breath_timings), description="Tidal impedance variation determined on pixel impedance", parameters=self.breath_detection_kwargs, derived_from=[eit_data], values=list(all_pixels_tiv_values.astype(float)), ) + if store: sequence.sparse_data.add(tiv_container) From a93a91f290465d8b4014420170112352ad840654 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 16:41:58 +0100 Subject: [PATCH 11/21] added return of sparsedata with empty array as values when no breaths are detected --- eitprocessing/parameters/eeli.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/eitprocessing/parameters/eeli.py b/eitprocessing/parameters/eeli.py index 9c0de7b07..897046181 100644 --- a/eitprocessing/parameters/eeli.py +++ b/eitprocessing/parameters/eeli.py @@ -71,7 +71,18 @@ def compute_parameter( breaths = breath_detection.find_breaths(continuous_data) if not len(breaths): - return np.array([], dtype=float) + eeli_container = SparseData( + label=result_label, + name="End-expiratory lung impedance (EELI)", + unit=None, + category="impedance", + time=np.array([], dtype=float), + description="End-expiratory lung impedance (EELI) determined on continuous data", + parameters=self.breath_detection_kwargs, + derived_from=[continuous_data], + values=np.array([], dtype=float), + ) + return eeli_container _, _, end_expiratory_times = zip(*breaths.values, strict=True) end_expiratory_indices = np.flatnonzero(np.isin(continuous_data.time, end_expiratory_times)) From 717c39b4fd79ab854d512472f9f1af6cceaf898f Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 16:43:46 +0100 Subject: [PATCH 12/21] adjusted notebook to work with sparsedata --- notebooks/test_parameter_eeli_.ipynb | 40 +++++++--------------------- 1 file changed, 10 insertions(+), 30 deletions(-) diff --git a/notebooks/test_parameter_eeli_.ipynb b/notebooks/test_parameter_eeli_.ipynb index d009db7d0..2174efe7e 100644 --- a/notebooks/test_parameter_eeli_.ipynb +++ b/notebooks/test_parameter_eeli_.ipynb @@ -32,8 +32,7 @@ "metadata": {}, "outputs": [], "source": [ - "sequence = load_eit_data(\"/Users/juliettefrancovich/Documents/KT/TM3/eitprocessing/tests/test_data/Draeger_Test.bin\", vendor=\"draeger\")\n", - "#sequence = load_eit_data(\"tests/test_data/Draeger_Test.bin\", vendor=\"draeger\")" + "sequence = load_eit_data(\"tests/test_data/Draeger_Test.bin\", vendor=\"draeger\")" ] }, { @@ -110,8 +109,8 @@ "source": [ "cd = sequence.continuous_data[\"global_impedance_(raw)\"]\n", "cd_filtered = sequence.continuous_data[\"global_impedance_(lowpass)\"]\n", - "eeli_result = EELI().compute_parameter(cd).values\n", - "eeli_result_filtered = EELI().compute_parameter(cd_filtered).values" + "eeli_result = EELI().compute_parameter(cd)\n", + "eeli_result_filtered = EELI().compute_parameter(cd_filtered)" ] }, { @@ -131,20 +130,9 @@ "id": "86a5f81e", "metadata": {}, "outputs": [ - { - "ename": "IndexError", - "evalue": "only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[6], line 16\u001b[0m\n\u001b[1;32m 13\u001b[0m sd_lower \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmean(result) \u001b[38;5;241m-\u001b[39m np\u001b[38;5;241m.\u001b[39mstd(result)\n\u001b[1;32m 15\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(gi\u001b[38;5;241m.\u001b[39mtime, gi\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[0;32m---> 16\u001b[0m ax\u001b[38;5;241m.\u001b[39maxhline(\u001b[43mresult\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmean\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mred\u001b[39m\u001b[38;5;124m\"\u001b[39m, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMean\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 17\u001b[0m ax\u001b[38;5;241m.\u001b[39maxhline(result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmedian\u001b[39m\u001b[38;5;124m\"\u001b[39m], color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgreen\u001b[39m\u001b[38;5;124m\"\u001b[39m, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMedian\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 18\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(\n\u001b[1;32m 19\u001b[0m gi\u001b[38;5;241m.\u001b[39mtime[result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindices\u001b[39m\u001b[38;5;124m\"\u001b[39m]],\n\u001b[1;32m 20\u001b[0m result[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalues\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 23\u001b[0m label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEELIs\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 24\u001b[0m )\n", - "\u001b[0;31mIndexError\u001b[0m: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices" - ] - }, { "data": { - "image/png": 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", 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2faDIihInkLe0tOCKK67Aww8/jMWLFyOXy6GtrS22W9tuu+3Cvz3Pw5AhQ7Bs2bKuT1iQjSG5ZLSr3/Dn2hXpbt2RyNrpnMCt9vbbb4frSSC6zolLJeqcRMorFWUQtbS0YN68eTj++OPJ71977TUAwNChQwEUb+Af//jHWLZsWUh+mz17NhobGzF+/PiwzT/+8Q+tn9mzZ1tv/nKLSqblFs6G6gYsPn8FFixfAwDYYkBv9KqlL9HS5nYsW90OABjVvxf61FWT7RatasPylg4AwITN+rHja6husM6Bk5NOOincId1www3ady0tLQCAhx9+GJtttpn2XQFptDv0T52uCy+8ELNnz8bPf/5zjB49GvX19Tj88MNDMn0g1dX6efE8DwWLa6ur4m4Prf/GxPo/g0SA4nPfcklLjx27q9JVnbM2xmol6pxEyis9ahBdeOGFOOiggzBy5EgsWrQIP/zhD5FOp3H00Udj3rx5uPPOO3HggQeif//+mDt3Ls4//3x85StfCS3wr371qxg/fjyOP/54XHPNNViyZAkuvfRSnH322eGNf8YZZ+D666/H9773PZx00kl44okncM899+Dhhx9ep3PNK6ulmmtIFc/z0FDdCw2dz1Ovml7oVUNfoobqFBqq00o72iDqVZ1CW3VV2K47ZP/990cmk4HneZg6dar23fjx41FbW4uFCxdijz320L5b05HDvM9asMXosXjuST0NwgsvvEAfrPPUPfvss5g+fTq+8Y1vACgqQZMUua7FlROxPhsTwRQ3AjBsoxDP87pNL3SndFXnBDJu3Dg8+OCD2meszumUStQ5iZRXetQg+uSTT3D00Udj+fLlGDhwIHbbbTe88MILGDhwINrb2/Gvf/0Lv/zlL7FmzRoMHz4chx12GC699NLw9+l0Gg899BDOPPNMTJkyBb169cIJJ5yAK6+8MmzT1NSEhx9+GOeffz6uu+46bL755rj11ltjD1F3i+omk1xmrqHolRB2H0g6ncbbb78d/q1Knz59cOGFF+L8889HoVDAbrvthlWrVuHZZ59FbX0v7LL/oTji+BPxx9/egIsuuginnHIKXn31VS15JpXAccyYMXjggQdw0EEHwfM8XHbZZT2+C9uAPKGJJFLR0lWd09jYiBNOOAFnnHEGZs6cyeocSipR5yRSXulRg+juu+9mvxs+fHgYESDJyJEjYy4xU/bcc0/MmTOn5PGVU4LoKEDmmqgogy9hCY6Lr5no0VM/KKOo+aFMueqqqzBw4EDMmDEDH374Ifr164fJkyfjvAsvBgAM3Ww4/nDn3bj0/76HX//61/jSl74Uhq4Wx63PAQB+8Ytf4KSTTsKuu+6KAQMG4OKLL15vQpx72oBdGwkZROvxHBLZMKQrOuf73/8+AGDEiBG4//77cf7555M6h5L1Weck4iae3x0JajYwaW5uRt++fbFq1SrxIZRkZWsGk66cDQD46WETcOROI9De3o758+ejqakJdXV1AIoh2R9/Ucy11DRA4AatbMPnndygkf17oW893W7xqjZ8trrYbtthfZFKdY9BZMrq9iwyuQL6C1FXLe1ZfPh5kS81YtMG9GuoIdtlcnm8s6SYimH0oN5oYNyIPSVzP1kJABjQuxbD+tFE/VLaVbLM/3wNVrdnMahPLYb0pefQ3t6OeR9+iELvgZgwYmDZjl2O53BdS6WNmdI5iSSyvot0X5fyDPZ4YsaNRXKO/hQdDXHsXGiomj8i4lRmmf/5Gny6sg0t7Vm2jfP01L8T871HJdg/2S7DsuYOnPHHV/H8vOXdP6hEEkkkkTJIYhCtI9E5RHy7rhBz5V9EJlE5OC6tmRwWr2pzLkHRmnVL4Cf21hUjMZHuFct1CDYAf5+7aB0MJpFEEklk7aWyfA8bsKgcorzEIWL+jjcsHV+RflLwfbRl8mioSYs8ow+WRSG6QxmXiSoigdxxsnqz9d8iWp9nUGoWojUdue4aSiKJJJJIWSVBiNaRqIaBhK74jv4hV8PJ1ZhYtLIN8z5rwZJml8xAQGuHG/LjylhynsM6tCYKvo/V7dnyF2Rdn2EuX3uxSmIQJZJIIuuLJAbROhKVQyTxiVSjpQwUImd3U1B+IiBg28SVEyWZRO55DEs/J+WQxSvbQi4UJ12JSViPzaFo7I7z7kgK2SaSSCLriSQG0TqSriBEop3juKr2BLribCQ4phigapmtC1ke1ihb+2KsG04wpxupOpFEEklkfZPEIFpH4swhcrWI9F85fbOu+DfaUQSfmc++Mdr18OrrOaJcG0PljqSUWSKJJLKhSmIQrSNxzVRd6II9JLvM3EjV5RT1OOXOetQT2aDFXJZdQerWZjAVImW5NxNJJJFEKkgSg2gdSc7ZIHJ0I3XJZbauEKIu5FwS+yu9b0my+QI+/KwFq8rhCit7w8qWUgGiDSEqMJFEEtk4JDGI1pE4I0QqB1UMRXcjGqtGxzqjt3bBWJMbdsWNyMsnK9rQ0pHDR50ZwddOSs8btV5L4jJLJJFENlBJDKJ1JBqHyBkhcpNcLo+nnnoKd911F5566ink83RIfDkBokvOPQOe58X+7b///vABHDBlO0wcvgmG9K3Xvv/JT34CAFiwYAH6967FO2++QY5t1qxZ6NevX/G7Ms+h3TFZpIu4j6dnIuVKkWyuYEURI3uodBQwkQ1H8nk3nVNOmT59OqtzAGDUqFHk96rO8TwPr732Gtm/qnMS2TglScy4jkRDiIRVolAiGvKvR/6OmVdcgkWLPg0/23zzzXHdddfh0EMP7VaX2f7774/bbrtN+6y2tjacw1nf/T5OP+1UDGqMasv06dOn5OO4usx838cnK9rQUJMWa6j1hLgmoewpWd7SgU9XtmFgn1pLws3SBp8YRBuePPDAAzj33HPxySefhJ+pOqc7hdM5gVx55ZU49dRTte+7onMS2TglQYjWkbhyiFSxucL+9cjfceHpJ2jGEAB8+umnOPzww/HAAw845/DpCvm5trYWQ4YM0f5tsskmYVqBXr17Y+Dgwdr3vXr1oudjSVX97ltv4ORvHoSmYQPR2NiIHXbYAa+88orWbFVbFitaM2LeoK6IM6faOZFm5VkJi1YWE3La8lCFCFHlTSGRdSAPPPAADj/8cM0YAgyd043C6ZxA+vTpE/ue0zk2ef3117HXXnuhT58+rM5JZMOSxCBaR5LLuxlErgtnPp/HNT/8PxL1CT4777zzkFOgbHkRK188WL7Mi6UP4JJvn4bBQ4fh0Sefwauvvor/+7//Q3V1tdYuW+4DlyjlOnrB98ufHdsizkZaicOqRONvfZPm9ixO+8MruOmpeWK7fMHHf977DCstwQK+76MtkysZMc7n8zj33HOtOmdduM/WhRx77LHYfPPN8fLLL7M6J5ENSxKDaB1JvuDGIXJ1rbz0wrNYupgvnOn7Pj7++GO89Pyz2mfllIceegi9e/fW/l199dXhYv7LGVdg9GYDte+ffvppZsDCgXwfSxZ9il122xNjxm6FMWPG4IgjjsDEiRO1ZoXugi2kXEqO10vzhFqG+c7i1XhzUfM6N4pcpOQoM0vDRSvb8MGy1WszpA1e/vTCR/jnW0vx00ffEdvd8OQH+NbvX8L/3f+G2G5VWxYLv2h1zkofyNNPPx1DhlQJdA77jJdBOJ0TyMUXXxz7vqvjWbhwIfbdd19svfXWrM5JZMOShEO0jqTcLrNlS5c49bFs6RKMD/qz+cxKXH/32msv3HTTTdpnm266aWh4TT/92zhh+nQMVjhEm222GdmXLez++FPPwo++9x3882/34sD9v4ojjjgCW265pd6uR/w4rmRpVxKyj1yn8ZzJF1CXSnd9aCgaictWd6CxrgoNNWv/uEcus/Kc611/8gQA4OUf7IuBfSqL91Up0paJEJf2bB511fQ9ce+rHwMAHn1T1g0tHXk0APi8JaPx+0xZ3Z7F5y0ZbL5JParTKSxevNhpvK7tuiKczgnkoosuwvTp07XvOZ1jkwsuuACnnHIK/vjHP2LfffcldU4iG5YkBtE6EldStetCM3DQELd2g6N2hTK7L3r16oXRo0fHPg8g+36b9seopi2x2SYSSddNzrzg/3DAIYdjzjNP4Ikn/oUf/vCHuPvuu/GNb3xDaVXuNJB2cc/H49jOEUkq+D7mLWtBfXUam2/awLb7fHUHljW3Y1kzsN3m/RxHIQ2we5rP+6wlMYgYqUpFQP7K1iyG9KUNotqq0oznXEFOxDH/8zUAgM9bUhjatx5Dhw516te1XVeE0zmBDBgwQPy+FLniiitwzDHH4OGHH8YjjzzC6JxENiRJXGbrSFR+i1jLTP1bWE122mVXDB46DB6TRtnzPAwfPhw77ryrU3/dJeUIzw6+G7XFaJx29rfxz3/+E4ceemgs2kT/zTqarGtQoGM711Gvbs+iLZvHFxa+SFsZUwwUxVf+Z1o4Rkqq7XI9zP+qZGnN5MK/petZleqeDUF7tmg47b777th8882tOmf33XfvlnH0hIwdOxbnn3++k85JZP2XBCFaR6JyiMRK8dpawrdLpdP43o9+ggtPPwGe52mLS6CwfvnLXyKdTgO5HNdN9BvYF2PTyOjo6MCSJTo8X1VVhXRDIwBgTUsLli1ZgqqOCMFoaGhAY2Nj+H7BvPcBAMsaqrGkTxG+32abbbQ+W9vacPWlF2G/aQdju63H4MPmz/Hyyy/jsMMOE8ZqKblhEXWuKaGjLkWZOSOEQnoGxyyb5bYLS40yk3hd6mOQdZ3QRihrVIMowxtEWg4z32cNl1Il6DedTuO6667D4Ycfbtc53SSczhkwYAAAYPXq1bHvTZ3z7rvvxvo1dU5bWxsuuugiHH744WhqasInn3xi1TmJrP+SGETrSHKu1e5dO/SBfQ84CD+/5Xb8/IpLsNjIQ/TLX/4Shx56KOZ91hL9xDWQiFGm5s8fffTRGDy+1VZb4flX5wIAbpx5NW6cebX2/emnn46bb745fH/x2SfHjvPxxx9r71PpFFat+AKXnncGvvj8MwwYMACHHnoofvSjH+k/VIa8tnaAeq4kg0j7zVoe0+xDRpLcjlZ2orlDd65HVF02+QQhYqW1Q+EQ5XiDSNUxmXyhZBeaKpqxo3x+6KGH4r777ovlIRo0dBhmzry22/MQcTrnnXeKhPPLL78cl19+ufa9qXOOOuqoWL+mzkmn01i+fDm+9a1vYenSpbzOSWSDksQgWkfizCFSSboOQNK+BxyEbx76DXzwxitYvHgxhg4dit133z3apfnUr7ooys9/+qub8cCf7yCbfbEmg0eeLxpF/RpqMILguIwaNQpLVrVhaXMx/42ZEHD69OkhObKmugY/veF3AIABvWsxrB/NSVIVd1Gh04aMy1lQr5fkiXDl/DjXbXPmEAmdMP25iA1ViKLMXFFOXtRzbOOzbMyiIkRSlnX1fLZnaIOIM3RMke6vQw89FAcffDCefvppfPrpIrTXNGLyl6ZgeP/eQo9rL7NmzcKsWbPY7xcsWCD+ftSoUSI6q+mcmhrcddddXRhlIuuzJAbROhKVQ+TqMnOVVDqNPffc09pdKcReal10zynjyiGhfyL0VkIR2LUTlYBejuixrpCN3A0n3j1S6nmw0VD82B/yMaUFSH0OejqHVCXLGgUh6sjyhqP6XXsuj76I58zRDCrB+LUhi+lOnZPNF/D24man3wTli6rTCXU1kcqU5M5cR6JyiJxJ1UJ/zmRl54XY3re7y83elzkgV0KyKwyz1p6iHjLWTENnXYtni9TztRemidu489omIUGIOFnjSKpe02FHktoEg0qVguOz5NrO9328t2Q13lu62jntSCKJrGtJDKJ1JK55iHznxZ/8s+vtHA7bFTXmOAW5D8ff6O3WTumWE20CSjAmu/Kbcq4vVnvIySKi/oyJ6jpOECJe2lXkRzCIOnJqO9rw6ciqmet91uhW7VORGO/Yrj1XQN73kS/4yAg8qEQS6UlJDKJ1JHnH0h3OLhPtzdojTmzfXWjjvLS58mq64IITjYQS1165oKz6dxdQu1h/vlM7vb/yiVi3zbEunqtRpz4H6mKeiC65vN3Q8X0fmbzdcDKj+bjroxo3krpybleCe3RNR04z3BJJZF1JYhCtI8k6k6qVv7uAKnS1QxfeR1dcOOUw6sqJcrmKz77p3v66hhCtJRrmSLTVflOGKDcVNU0WQF6yDoaOucni2pn5nrjrY4bwc6K1Eywi3XDi27Vlcpj3WQs+WNbCtgGATK6A95etxuctpZUfSSQRSRKDaB2Jay2zcvuR3Lkrdi6AszevS6iJ23fOc3BFV9jJdgENkQ/k1p8rylVGvE87jhRR59it2p90r6uoaYIQ8aIiKhyHyERd2pnzaQZ0cFdHvYYyQuTYTk07IrRr6SSQ5325wPGilW1oy+SxaGUb31kJUvB9tGfzPVT+J5FKkcQgWkfizCFi/u56Ozu8YioBFyUpi6sx4tqfW9flRNec+3LNyuw2HGcelLMh5iBqRJ1IqnZG6tzudZVILXFjNnZRESIOSTNdYazLLK+349Aa9d6TEB3fEflRbwPJ6FAD3ySivYSyq9LakcM7i5uxqi0rtluyqh3vLV2NlZZ2iWzYkhhE60jcOUSKlIMI47CImZ+77JLKsVh3iRvkyucRjmsMYq0adcUwcTWwHKlma01cL4trlhEpxYS6gCah2LzoCRfp85nNuRlEpu5xAEhlHpizQdSVdvxxXZOlfvj5GmTyBXy0fI3YLnC9LV7Z7tRvIhumJFpoHUnPIUQOYjRyUZLl8SO5dteFpXgtXXVdMq4cjTXXHlwNHdckiW5t3C6sq60uuT2CZ2JA7xp8Z58x4hA3ZlGNnVyeRk1MlxlHXHblEJmbELadMhzX8HzZtWYfm9R3Kd9RYrOzlq0uIkncdQhkeUsHlqxqs24upUg/tU1zexaZxK3c7ZIYROtItDIFlgegvQ1Y3QysWsX/W72q2GZ1M9C8ymfbNTdH7bg2rW2OLjN1QRTG72w3lcnOWbBgATzPw//mvh5+5qo6bMro048XYtvN+uG1116zjkf9e9SoUfjlL39J/8YZ5YrePPXUU/A8DytXroy1K8VeNPsxf+56vVwRQgkhChbndDcVJd1QJOtQB9F0hXELtumGCq5pWxuhYxTdsXIlrTtWrvIV/cLroZUr1b58tDHUH1fDSec8dgW75PqVv1+yqh3t2TzmvPk+PM8j9UKh4OPTlW1YtrqD5XIF7d5b2oIFy1u1zwN9FvS9uj2HBZ+v0cowUSLpnK4IpSt6sp91IUmm6nUkKiok7ZrbW308Nbsazas81FWlwWXDX7KqOjSspHaLV1aHHBGuXWNfYMxOQF1nRQyeaFx8+WL557j5FzPw3JOzsXTpUmyyySaYOHEiLr/8cnz5y18GAEwcvgmu/e2fMO3rX2fnqnXt6DIT+2DflC5d+bkzUicCOjQKs+uuu2Lx4sXo27dvvB3T15577olRY8fjgsujenJmP2YP5eaUiqTqzu+qUsm+TBIV7cmwCFFBfE/1FUhbG/C3vwErVkSftXR4WNVWE75/rdFHijBcm9vTWN1ebFeV8jC4MdYEALCqLYWWjmK7XrVpNA0DDj4YqDeq8HCutc8++wyXX345Hn74YSxduhSNffthzLhtcfp5F2Hc17+KNIplZ/7yl7/gkEMOoQfhJI7uPKGdeo2yuQLqq+maci2ZHDpyeXTk8sgXfHZj0Nxe5DVx11SVAHEqR2FfWlfIsueee2LSpEmaYdaVfnpKEoNoHUnOsXRHJgs0r/JQU+ujsY+PTfrQ7dbADyPXGmpSfDu/EBpOVLv29qIizGYVg4gZW/D5d0/7FnLZLG6//XZsscUWWLp0KR5//HEsX7682M4RcnB2+7h1Z/BqJAQjbkxkMhnU1NQg9sXajEdr6IiuMYhTTU0NhgwZQh64FCMm1o9lPFw7V3eeRIwNnoMEIeKlUPD1mm9r6TLLFwqxmn+ZTFEH1NcDdXXFz6vagUJ1dKy+/QCqVqzX5gOtnSU5Uilssgk9D7/Gh9fe2c73sWIFkMlQBpHyG+XNYYcdhkwmE+qcV96ej/889QRWrfiirAWMRbefI/ez4EiPaG+PUgZk8wWkU7ThpBo3Bd9n+VO+Dyxe1Y7PWzIY2KfWaaySULqiJ/tZF5JszdaRuHCI1EW8ttZHfb2PXr1A/quvB+obon9suwa5XaAA9XHQc/B9oHnVKvz3pedx/g+uwF577YWRI0fiS1/6Ei655BJ8vRMN2mnCVgCA8089DmOHNGLUqFEAgHnz5uHggw/G4MGD0bt3bxy0z+544emntGOMGjUKV199NU466ST06dMHI0aMwB9v+512jl566SVsv/32qKurw4477og5c+ZofeTzeZxz5uloampCfX09ttpqK1x33XXKRIDLzj8L5518LGZcfTWGDRuGrbYqjjnoe0C/3jj6wL3wzv/m0idD6Wz555/h2ycehe1GDUJTUxPuuCNe9HblypW44qLvYM+Jo7HT2M2x99574/XXiy6+9957D57n4Z133tGMiVtu+BW23HJLAHHYefkXy3Hx2Sdj3x3Ho3+/PpgwYYJWjHL69On497//jdt/exMmDt8EE4dvgvnz55Pw9V/ufwDf2GcKdtxyMPb90gTMnDmTvCannnwypmw9HFN33hb3/mmWcEoc+SJ+gBAlBhEnZvSYyQEK25kuM8YQNQ0l9V1dnbveCP411PthmzqhXZ2ir2qEtZoKz1+5ciWefvpp/PSnPw11zoTtd8DJ51yAPb96IHwfoY75xje+Ac/zwvcfL5iPc086BnttPxa9e/fGTjvthH/961/aMUeNGoVbfz0Tl3/3HHxpq80xYsQI/OY3v9HavPTSS9hxhx2w0+ghOPrAvTD39de07/P5PE4++WQ0NTWhf78++PoeO+GO392s0SOmT5+OQw45BD/+8Y8xbNgw7DRpWwDAG3Nexc477cDqM/XpCM7PsmXLcNBBB6G+vj7UOcG6snhVW3jeTjnlFAwcOBCNjY2szlHl2muv5XXO8uU4+uijsdlmm6GhoYHVOddddx08z4PneViwYAGpc+6//35ss802qK2txahRo1ido64D5jXpDkkMonUkOe1BL8eOpgyICtOGTcwIHw29eqGhV2888ejD6Oigk6I98uTTAIArZ96Ap19/Hy+//DIAoKWlBQceeCAef/xxzJkzB3vssy++c+LRWPzpx5oRNnPmzFAxnHXWWfj+hediwbz3AQBrWlrwta99DePHj8err76KK664AhdeeKE2j0KhgKHDNsO9996Lt956C5dffjm+//3v45577tHavfjsf/Deu+9i9uzZeOihh9Ci9P2f517AGRdcjF/8v8vkc+IDl19wFpYu+hS33/cQ7rvvPtx4441YtmyZ1m76cUfji88/ww1/uBf3PvJvTJ48Gfvssw+++OILjB07FjvuuCPuuOMO7Tw8cO/dOOaYY8jjtre1Y/yESbj+9j/j5Vdfw2mnnYbjjz8eL730EgDguuuuw5QpU/DN46bj8VffweOvvoPhw4fH+nn11Vdx7DFHYf+DDsV9s5/FWRdcjMsuuyxWVXzmzJmYvMOO+PMj/8Y3v3Uy/t/3L8C7775LnxPlb5FU3bk4U66YRIoSQ34cOUQ8QmQYRKx33DScOJ1g78sUyd1Eucx69+6N3r17469//WuocwqGPg10zG233YbFixeH71tbW7Db3vvhN3f9Ff/973+x//7746CDDsLChQu14/7hNzdgm+0m4b7H/oOzzjoLZ555Znh/B3ph63HjcNfDT+KMCy7G/7v8+/q4CwVsvvnmuPfee/Hif1/H6eddhF/99Cr85f57tXaPP/443u3UOXfc+xe0rmnBt088ClttPS6mz6hzEhhY06dPx8cff4wnn3wy1DnLP/9M+90RRxyBZcuW4ZFHHsGrr77K6hxV7rjjDl7ntLdjhx12wMMPP4z//e9/rM459dRTsXjxYixevJjVOd/85jdx1FFH4Y033sAVV1zB6hx1HVCvSXdJYhCtI8k7ECNjhkkZjtsVs0n6TVVVFa76xQ342713oV+/fvjyl7+M73//+5g7N0JS+g8YCADo09gXAwcNxsCBxfcTJ07E6aefjm233RZjxozBdy+5HJuPHIWnZj+iHfPAAw/EWWedhdGjR+Piiy/Gpv3746XnikbWgw/cg0KhgN/97nfYZptt8LWvfQ0XXXRRcdydyqK6uhr/d+ll2HHHHdHU1IRjjz0WJ554Yswgqm9owE23/AbbbLMNttlmG9x5551h3+PGb4M99t0fJ5zxbfGcfPD+e3jmyX/h8p9eh4mTd8IOO+yA3/3ud2hTWKPPPPMMXn31Ffz85lnYZuL2GLnFlvj5z3+Ofv364b777gMAHHvssbjrrrvCOSz48APMfW0Ojj32WPK4Q4YNwwlnfBtbbzMBo7bYAt/+9rex//77h3Ps27cvampqUF9fjwGDBmPAoMFIEZD8L37xC+y19944/byLMGqL0Tjkm8finHPOwc9+9jOt3YEHHogzzjwDI5q2wElnnYd+m/bHk08+yZyVSCTjP+IQJQYRJ6aLjCdL+0Y7N8OJdVU7KiP98kp+VEd3kx//u6qqCrNmzcLtt98e6pxfXP0jvPf2/8J2gY7p168fhgwZEr7favwEHHHciRiz9XiMHjMGV111Fbbccks8+OCD2nF323s/HHnCKRjRtAUuvvhiDBgwILy/A71ww82/weitxmGPfffHaWefq/2+uroaP/rRj7DjjjtixMhRmPaNb+Lgbx6Dvz1wv9auV69euPXWW7HNNttg7Nbj8I+/3ge/UMCvb7olps+oU1co+HjvvffwyCOP4Le//S122WWXUOe0t+s656WXXsK9996LHXfcEWPGjAl1zp/vuQcr1mRwzDHHaAjPe++9V9wgMTpns802w4UXXohJkyZhC0HnNDQ0YMiQIRgyZAjSaVrn7LPPPrjsssswduxYTJ8+XdM5K1sz8BFfB9Rr0l2SGETrSFQFxe6aS7CI3Lkryp8WsnQg7PA6P9/3wK/j8VffwYMPPoj9998fTz31FCZPnhxa+Fw0UktLCy688EKMGzcO/fr1w/gRgzH/g/ew5NNPtLFtt9124d+e52HgoMH4YvnnAIAP3nsP2223HeoUX9+UKVNi07j1lpuxww47YODAgejduzd+85vfYOHChVqY65itx6Na4Q29/fbbYd/BcCbusBN5jgJ59913UFVVhfHbTQqbbL311ujXr1/Y5vXXX8ealhZ8ZbstsctWm2PHMcPQu3dvzJ8/H/PmzQMAHHXUUViwYAFefulFAMA//nIvJkychK233po8bj6Xxy2//BkO23dXDB86CL1798Zjjz0W2/mqQk3h7bffxi5TdtXafPnLX8b777+PfD7KZbPddtuF58TzPAwYOAhLly61HsclMWPCIeLFJFGzZOmcW7tYpmonQ6drSDP3nTO/T2l32GGHYdGiRaHOeen5Z3DUAXvib/fcKZYaal3TgplXXYZD9toZm26yCXr37o2333479pyMHbdN52+K9/eQIUNClDfQC7W1kc6ZtMOXYse74YYbsMMOO2D0iM2wy1ab4/47b8enn3ystZkwYULIVSwUgPnvv4cx47ZBdU1cnwViRt69/fbbqKqqwg477BB+vvXWW6Oxb7/w/WuvvYaWlhb0798/RNgCnfP6W+/h4xWt2OOAg7FgwQK88MILAIro0OTJk3mdk8/jqquuwoQJE7Dppps66RxK3n777TD4JpBA56xq7cDCL1qRyxcwYcKE8Hvzmvi+j+a2rDX9QamSkKrXkWgcItYlJb/nxFXB8G3c+lM/ra2tw3777Yf99tsPl112GU455RT88Ic/xPTp09kfXXjhhZg9ezZ+/vOfY/To0Vje5uOME49FNqtnh62urtbee54HXyDnmod65G/344of/B9mzpyJKVOmoE+fPvjZz36GF198UWtfX9/QJUIx9wXXpqWlBYOHDMVv7i7uStOehzFDiuz2wHAaMmQI9t57b9x/z5/x7Uu3wyN/vQ8nnHwqO56bfn0t7vz9zbjoiqux5y47YNCm/XDeeechk8l0ZRbWFtQ1KbhcE+GQCUJkFxPp4VxhMcOJuTa5vK+RUnzQ1VpiLjOHvZRzglBHIMm0pevqIp3zjZO+g8sv/DZu+sUMfOdM+jnxfWDm/7sML/znKVxw6VXYY8cJaOzTC4cffrj2nPgAqqqqteNT97cU2Xn33XfjwgsvxMyZMzFu4g5YU6jGrFt+hbdf/6/WrlevXsr4aOPPFD3LN9tMk9UtLRg6dCieeuqp2HefthaveFXvTbH33nvjzjvvxC677II777wTZ555Jtvnz372M1x33XX45S9/iQkTJqBXr14OOkc57opWtHky2VvNxF4l6JxVbVks/KIVddVpjB3MRBR1QRKEaB2JZhCx1Z7dTSKnHZvx9Lgu/jxCpCoEPaHY+PHjsWZNlA22qroahUJeO+azzz6L6dOn4xvf+AYmTJiAAYMGY9EnC0sa25ZjxmLu3Llob48yygY7nEBee+VF7LTzLjjrrLOw/fbbY/To0SESEzuOModx48aFfQefzv3vK7G5qzJ67FbI5XJ4a+5rYefvvvuuRiCcPHkyli1dgnRVFUY0bYHhTVtg9OjRGD16NAYMGBC2O/bYY/HXB+7D66++hE8WLsDXDjmcPQ+vvPQC9vzqgfjaoUdiwnYTscUWW+C9997T2tTU1GgoDzWFcePG4YXnnlPOR/E6jR07NgZ3d8V4lHJuBQZRghDx4kqWNg0nzmXG5SGKiePFNtHgtc5yrxlEcrstxmyFttbWsF11dbV2vxd8H6+9/CK+fsQx2OeAr2GbbbfFkCFDsGDBAnFs5hwCvdDWFumcOa++pLV59tlnseuuu+Kss87CtttNxIimLfDJR/xxgvE1jRmL999+E22CPjP17tZbb41cLodXX301/Pzdd99F86qV4fvtJ22PJUuWoKqqKtQ1wb9NNu0ftjv22GPx5z//Gc8//zw+/PBDHHXUUeRxgzkefPDBOO644zBxYqRzcvkClndm+jZ1jiorWrP4bHUHttp6azz77LOxvseOHQtPScEh8Q9Xt+cAlL/kT2IQrSPJOyRmVD/t6PDQ1gqsWUP/a1vjo60VaGsFWpl2LWsQtmlrBdqINu3tiCk/SamtXPEFTjny63jogT9j7ty5mD9/Pu69915cc801OPjggzt/DwzbfARefObfWLZ0KVZ0JjgZM2YMHnjgAbz22mt4/fXXcd4ZJ4U3vevu8muHHQHP83Dqqafirbfewj/+8Q/8/Oc/18Y9omlLvDbnv3jsscfw3nvv4bLLLgtJlpIr4Jhjjgn7fuett/D0E//EH265nh8YgDFjx+LLe+6Dqy45H6//92W8+uqrOOWUU1CvxBPvu+++2OlLO+P8U47Fc/9+Ap9+/BGee+45/OAHP8Arr7wStjv00EOxpmU1fvz972KnXXfHoCFD2eOOatoSLzz9JF575UW88/bbOP3002MurFGjRuH1/76CTz9eiBVfLNfuwUC++93v4sknn8Atv/wZFnz4Af527524/vrrY8TOkoTJJWNKkofILq7h9O6JGU3kJ3rf3q7ohlZdd3B6qNXQMS1MuzWKvmpvlwzg+PyWL1+OvffeG3/6058wd+5cfPjhh3jsob9g1s2/6owyK/5m1KhRePzxx7FkyRKsWLECBb+oCx5/9O9458038Nrrr+OYY46JI5vGIc11ONAL3z7rDMx77x08/cQ/8bsbf6W1GTNmDF555RU89thjeP/993H9z36MNw10yJSCDxx4yOHwPA/nn3NmTJ9R4yn4wFZbbYX9998fp59+Ol588cVQ59QpOmevffbFlClTcMghh+Cf//wnFixYEOqcN1+fE7Y79NBDsXr1apx55pnYa6+9MGzYsPC7oJxJWyYfznH27Nl47rnn8Laic1ozeXy6sg0tHTmMGjUKL774IhYsWIDPP/+cRJHP+c55ePzxx3HVVVfhvffew+233x7qHNead6qUMzFnoonWkeRcapn5QHU10NjXR6bDw8qVHlasAPHPR3NzCqs7/61i2q1cgbDN6uYUVq2Kt2trA/puUjxuIJwjxPeBhoZemLD9DvjTrTdhjz32wLbbbovLLrsMp556Kq6//vrOafj47mVX4YWnn8K+O43H9ttvD6BIpttkk02w66674qCDDsLue+6DcdtuxxyNll4NvfH3v/8db7zxBrbffnv84Ac/wE9/+lOtzRHHTseBBx2MI488EjvvvDOWL1+Os846KxybOadAeveO+v7Krl/Cr6/5fzj3+1cEl4Y9J1fOvAEDBw/B9MOn4dBDD8Vpp52GQYMGhW08z8Nd9/8Nk3feFZd/9xx87Ss74qijjsJHH32EwYMHh+369OmD/fY/EO++9T8ceMgR4ib929/9HsZtOxFnHnc4pu2/H4YMGRJLSHfhhRcinU7j0L13wZ4TR5O+/smTJ+OPd9yFR//+AA7bd1fcOPNq/OhHP4q7PiEbk5xIXrVgcU7sIV5cEy7GXWYMQhQjVQM1NcAmmxR1QaAXVq3UdceKlZQeCjJQK+1IfQWsWumFbdrbi8dT036F4yEWxN69e2PnnXfGtddei6985SuYMGECbvj51Tj06G/hkquuCX8zc+ZMzJ49G8OHD+/UOT4uvPzHaOzbDyccMhWHf+MQTJ06FZMnT2bOtn7cQAK98Nab/8ORB+yBX1/z//DdH1yptTn99NNx6KGH4sgjj8SBe38Fq1Z8gW9+62TxGSn4Php69cavbrsLb7/1JqvP1E1FMLbbbrsNw4YNwx577BHqnE37D9R+949//ANf+cpXcOKJJ2Ls2LGhzuk/MGrXp08fHHTQQXj99ddjZOrmThRmaXORrH3ppZdi8uTJmDp1Kvbcc08MGTIEX+/cBANARy4f6pzx48dj4MCBpM6ZMGl73HPPPbj77rux7bbb4vLLL8eVV16J6dOnG8kveVFTMTnXBnUQzy+nebWBSnNzM/r27YtVq1ahsZFJxWqRw256Dq9+VERKNmmoxpzLv4r29nbMnz8fTU1NqKurQy5fwFuLm9He1pkosTqN0YPi/lHf9/HmolXh+4aaKmwxMJ6COl/w8fbiqF19TRpbDoz3l/VzWNQSpYUf2KcWQ/vWx9p9sSaDT1ZEaea3HdaXDJn+ZEUrvlhT9CunUx62GdaXPCcfftaClo7iQ1dfncYYxhe84PM1YbZWyWf87pLV6MgVdzOD+tRiCDGH4BwHsuXA3uhVG6fSrWzNYOEX0Vy3HtKImqr4yr28pQOfriwqjJTnYdvN6Ll+vroDizrzg3jwMGFzut2SVe1YtroIn/eqrcKWxHUF9HMyYtMG9GsgVhfo54Sbw5qOnFYWYNvN+pLJ39oyOby/LGo3fmgjqoiirMtXrcZ/33wfVzy5DEvXFPDB1QeSY/vrnE9x3p9fw26jB+BPp+xMtlGlHM/hupa1HfMbn6zCQdc/E76fsFlf/P3bu8Xa3f/qJ/juvVHpmiN22Bw/O2JirN2N/3obYxraMGjY5vCqajC0bz0G9qlFW1sxUWIgn65oxYrW6IOR/XuhT111rL+Plq/B6vaIA7j1EPqe+PCzFrRmis96bVUK2wxvjCVlBIC3FzeHRt+mDTXYfNOGWJtCwcf/FP03rF89BvSOc1M6snm8u3R1+H6Lgb3Rm3jWm9uyWKAUfx03tJEsNqzqv5p0ClsPpa/npyvbQhdSY101Rg3oRbab/3l07gb1qcOQvkRSOADvLmlGRydpfvgmDdikF/2sq+duzOA+bIbsuZ+sDP/ebvN+ZBu1XZ+6ajQxc2jP5vFe5znmrgMArGjN4ONOfSrpq0Ur20JkqmkAfc8BwMdfRPfn+KGNyGUz2lqqSinPYEKqXkfilJix87Wuvvivtgqgsp0XfKCPUtamoYZulyv46KMUea6vptut6QCg9Oeem4QRbZfHNTIImXyzLolzIJ8jwZ0boTYH57kK3AgtysatP0n8Lpxl3wfJtHU+ptJQ4hAlmartYpKjOYTI1ClszbMYZFdsV1+vZ41uzgM5ZXVo7As0Eut1nyyAGr0dtQ73bveR7rSbatLxDNXhaBwyuneF8C01dNYJjglH9XbCs25wgzjRXGaOOZzWFufoirtKLFru2E6fA3/coI/N+tWjKp1CLsu3LUUSsHodicYhWluIz3RdOGoEye2jCvsQx/pzNSa4A5feTDYS7ArB2e0TO8f8cdXj84rEVOL28TkrU2lsDsaps/HXBZeZ7/NzLYQcosQg4sQklnKGjml4coZTwcxUzd0TMSuBa1e6cSK5QnyX+9VVDxkN2eOa7RzmIBoMrhtC53aOmySnc+emdHXekqOxJho6yhiE47rqv+C7cm+mEoNoHYnGIXJerNfO4IjvkLh2Xd1xdWEMzHeuCkE8lvYwuY3IzXxxNybZo7oap13p2/E7/pS4XX/XA5sfc9ciQYjsEkN+XBEiLlO18/3vaMBbfhf93t6X2Z+r/nPVV+7t7AaWaNRpf7vNVdz8OI6NK4yrt4v/juvPRcwcSW7t7IZOcQx8f8EaytV166okBtE6EnVnxykrV0inK64rsZ35s7VEV5x3Uiqi4+rOcVQwa7vz7arZ6Wpguey4bWHH1G+kdmwbt6E5tzMPyiGiAWpalU4MIk7iyA99Ls17hUOIfONarPWzHltgmXaurmCf/rtLx3S0iOIIOd2fGQHlhvLSfQV9WIYW+25tz4l5n/Dt7G3iY3PVV279iYZT5+2dGETrqWgVqwu+8TC47YTsX9iarZ1CiBkjjlrSSek6PiSucAi7Q7K8J49JvGf76/K1iX/hiMpbTomb0nUS87padvDBfcRdizDKrMxKbUMSk/LjyiHiosxMe8rZ+HVURi4LNv/M+fr9yh0ytglZy2fddVPjfO4cDR2tb7fZ8sZa1wxdHkmyr0/m7yXUzJXfpLUT+gvOcaA6yhUblhhE60jMhGiZfCFMfBdk+iz/Iuz4oFvec1+sbX9dsHPcF3+HvgD3B8m55pOj0ckfx+GYZkvnZo4Lh6tuYdrlslnkCwWsyRTveU7pJpmq7RIgRDWdUU8sh6igLxCca609V0Tm/Hwx4mttDXhnN7+BJFDPneuz6Y4Q6V/YShJZj+vqRvTtbcx2UjJcF/K1+SlnnMQMJ7adfWzmd2s713g7e3/B/R6soVTttFIkiTJbR2Jmp87mffSqqUJDQwM+++wzVFdXI5f34eeiUNdCKqVlZI5+W9Db+WmyXSab19rlC3R/mfaM1i6XyaO9PX5jZTIdWrv29jYUquLtcpkO+Llc1K6tnQzPz2cz8DtDwrmxFdt1hO0KYrtM+FBmmTl0ZHLaHDIdKbSn4uoj06Gfk472dqQK8cfFPCdtbe1k2HE20663a28jExJmMx3wO0Mm8p7HzjWXic5dJpNCezuzUOaic8LOoT3rdF07Osx27fDzertCoYAvln+OuUvasTpTPK6dQ5TsyzgJiKq1VSlk8gWeLN15jeuq0mjL5lm3fFvOxxtL29G39wo0pNLIZuhEiblMe3h/AUBHewrt6fixc5kMfCUzcTtzj+VzHZq7rr29HZ6BDOYLuv7LeXm0t8f76jD0Wo6ZQ4dxX3d00HOIP+tpVCOeATnboT/rrW3tZHh+UV8V9V/Optc6r2cuWyD1le/r5yTbQc81mysYc6D1Wrtx7tra2pAnnvU2RU8WdTMd/t6hrB3ZDD0HAMh0tId6Ldvhs8k5s4quz3R4YA5b1PWFAjLtHUAug88++wwNDQ2oqlo7kyYxiNaRmBB2NleAV1uFoUOHYv78+fjoo4+QzRewrLkjbJPygPSaeHxqvuBj2aroIatKeUBLPCbW7C+d8pBaE2/XmsmHeYOAovLNrYrnk2huy4bJugAg1VJL56Fp6UBbNnoYq1rrSLfI0ub2kBORZuYKAMua25EJ2qWAFNduZVu4c6ipSiFPzCGTK2DZ6uic5FZVo6Em/hi0dOSwslWJ5VxdS+bwaW7PorktOifpNXUkSXhVWzZMNw8AVWvqSCPxizUZtHZmhvU8oLqVnqt67jrqq7CKydehnhNuDm3ZPJa3RNefu67t2Tw+V9p5LbXkgrC6LYe7/7c63H3yHKIEIbJJcI5qq1NY3SG5zBC2a8vm2VpmeR+463+r0bRJDfq2tmNNbRVaiZwwn63uCHPfAECmoRoriRw+6n0IAH5zDWqJuPtlK9s0w7i6tS5mEBUMvVZTlUK+Of4Mm3qttTaNNcQczPs6s5Kew+r2HFa1Rc96vrmGzOGzsjWDlo7IUOKe9c9bOtDeqf84HQ4AS1e1h5uC2qoUsivjc/V9H8tWRudkDTPXXKGAZauic5JZWY0VxFxN/cc9wx3ZPD5riXLJecS6Aejnro6ZA6DrtTU1abR+QechUu+ntroqrK6n9drSzvspGH8qlcKIESNi91SpkhhE60hiPv5ODVZTU4MxY8Ygk8lg/udrcMXfXg7bNNRUkUnYFq9swxV/jQqVDupTh7tOGxdrN/8zvb9+DTW4/8xdY+1mv7UEP3nynfD9uKGNuP6YeMXjW5/+EHe9tCh8//vpO2Fk/3jCrlv/8gZe+HB5+P6vZ3+ZTLB1xe9fChOd9aqtwoPnxOcKADP+8EqYOLCxrgp/OZtud9q1/w531E0DeuHWE+JzePPTlbjiwdfC9xdO3QoHbBUvkXHvKx/j5n9/Gr7/xTcnYqvhm8Ta3fbMfPzpxeic/Pn0KWRyslv+PQ/3vBK1u++MXckEa3/4+5v4z3ufAQBSKQ+zz9+Dmip+dNtLYaKzE3cdheOmjCLbnfqLp0KD6NojJ2ErIhHb0+99hiuefDN8z13X5+d9jiue/F80p+N3RNOgeOLIv72xFF+0R4spB6WHtcwSUjUrgcustnMXzyE/BT9aWAEh7L7g44v2An7y7EpUoYADJwzB9/ZvirW77s9z8MYnq1CdSiFbKOCMPbbEEVsPj7W79NYXsEQxYn5y6HbYumnTWLszf/kfbUyUTlixJoPT/hrV1RszuDduPi7+DL+7pBlX/C0qi3HAtkNx4dT4HP793jJc+eRb4XtuDne9tBC3Ph0965cfNB57NA2KtfvZY+/g0f8tC9//8aSdMWyTuLFzwz2vYc7HKwEUE8k+/J3dY20A4KKbn8OKNVFywV8TOndNRxan/iWq+/XVbYbgYuJ6fbqiFVf8NaqvdvpXtsQ3ibnO/UTXfzcdtwOaiES3L364HFc8+QYAWTf/6fkFuO254rnbZlhf/Oro+BwAXa/ttdUgXPq1+BwA4PLfvYhFnYluD5u8Oc7ai2737V89jbZsPrwGNTU1SJUBaU4MonUkpk9fTbWfSqVQV1cHryqDT1dHO5D6asSybgJAqjqvtct5ObKdn9b7a83T7doLaa3dpo0Fsl1z1tPa+elqst3ydl9rV1Vdi7q6+OK/ZE00j14d9FwBYOmaQthuddaj5+r7+HhVhMDU1ObJdlmvWhtbeyFNtmsrpLR2eY+ea0tePydeVY3TuUtX0+2Wt+nnrra2ltz1LGmJzt3qXIrsq1Dw8Umzep9Uke1yXpV2TKTpsWVhtqPPSb4Qd4VQkksQIqsUFIQIiAIyKHcTYDecAgOrKp3GkuYsVjDP3eetxfuwT62H1R15tDD32JKWgqGL6Hts4aqshhAVnxNj49Ch3/u9G2g9lE+1ae2+aPed9NqaPD2HFuPZ7PDpOaxoh67/quj7f1lrNI+aND02APi0OYcVrcV2/fvSc23L63poJXO9/HRWa9eSp/VkzniGs6D1X6ty3Jo2fg4rMtE52aSFXl8AYJmiwz8X+vukOYfFne2+6ODbLVyVQyZfQF19HdumK5I479eRxBGiuMIy23D5imLtLC4JWzvX3aWpZLM5t+PaiKBSG0A/D1wz85hcFWTXsZkfc9ci1o5biLp4bbnxuWQ+N4/B1RUz23EV1U2So/Nx2WsWuBUSg4gTEyEC6HsiMojkZzhvGFhsO19vZ8t/JJG+CwU/dg9Qx43pF+Y+jLdjnpGYvnIreMvO1fH+V8fNzcEcH1u01zFTufl7ziA259qRpftrV/hjmVyBTbqo/p7rC9ABgI4crZsBfR5cf77vh/1R7r61kcQgWkcSK75I3NjB8xZsmNfW0HFdmIKHpK7Tb84bMDzKpYpraGfBYVF3bWeOmTOIzHb5tSyFEM8kXF5jgt3pOxiT8Tm4zZU1nIzPXc+JLew+QYh4MQ0dgL4nQlK15RlWydeA7ForHrezneV+Dbhppo4o/tZu/FBjYRf1WDvO0HEzJsx2Ls+c1J/azvfdDCd2Dq6GTqyd21w7GCPRNEY4XZ/VDB03409qp94/XDv1fNYkBtH6J7l8IbR8A8WWIS52IYSzA+VCh6fGd/SyARMQ/2wGVp1lN2geZ23rKqnzMHMzcb/nkRpXQ8JQfo6LujPy42ic8EaHmxGjJ/p0u15sDT1z984Sct0MndhcLQZxwiHihTKIqMUpZ7SzLeoR8iM/m1F/suEUGEQ0QhT9Hdi+VDsT5eANGLMdY3B0FUly3NRw5855Hmr1grXc1MSMOs4Icxyb+TmH1qjnVEJ+cg6GDqCfE26u6hzKndQ1MYjWgbQrN0BjJ2ueUmom/AzQqI77IgytPxZdCY01G0LkaBDFXDWcESO/p47rihBxSs1UCLwb0RgDt/g7G6eOqInjjtAJIXKca9xYczQSLSiErV2CENklMmAUlxnx3AXXJkCIuB19GI0WuNYsuqPWhhobeZKoa60+IxKSFEd0uPvGXPw5g8Poj1mIXXVC7NlkEVe7ceL7vvY5r6/cDJ2Y2895Dm79ccZOzhEhUs8xh96bx+Wuv3pvJy6z9VDUG6BPZygk9XAG94IaGk09nOazw9/UgZ+1EyGy7OjrLLtGV4TItSClq7vJxSCK9eWI6LgWy3Q9rrOb09HA4nkU0ee8waH/1tWAcTXqXI1TGxqWTjhErATXpjrlhUivC4eIRXRiUWs2l5kbJ6lGQKYoF4cNSZKO2XUkydW15vacsAabg/uqq5wfHpXqmnvQlS/aziBE6vhkQ0d1DzI7X6Mdb5iqBlF5dUeXosyy2SyWLFmC1tZWDBw4EJtuGg+zTCSSts78C3XVqVBxUA9TqPyUiyztuGrSxWRt/GJdfK2pSgPIhS44M0IlziFyc4VlGFJ1HCFYO5IihTiZOXyoHZI0V9sxnY0642NXA4tDYbrignO9Xq7uRh7R6yLiZHGFVkpixkrUa4HuT6U8VKU85As+uYgF1zZ8hm0uM5trLeYyk5+TyGXGo1fFdkVdRBpOMZeUI6l6LV1mcePEkQrgSISmdIKrEeZs6HSZa+Q2BxeCOzcHsx2nr3zf1/qwGcTVaW+t8w6Z4qyJVq9ejZtuugl77LEHGhsbMWrUKIwbNw4DBw7EyJEjceqpp+Lll1+2d7QRSgAl1lalFYOIVxwqQkTdPIGBEcHPNP8m+K3KP6BdcMV2EdFy7R5O8+dMsy5FoxX7p3aX8c/oSD43CDpurLkadW6oGWecOO8IVYPIcXfp6h60EXLD/hzI8lK7wKXXk8VdK12vBecu7Xmhe4BGjQ1Ex8KDCaPMLPdrrW2TZBpOFpeZ2M5wobKcnxgJ2s1lRvE2qXa8TtDfs1w7B6MjZoQ5RtStbQCFu7vRFcHSER0XHqjz5tKyDlGZ/tdWnHr8xS9+gVGjRuG2227Dvvvui7/+9a947bXX8N577+H555/HD3/4Q+RyOXz1q1/F/vvvj/fff7/sA12fJXJdpUKlRvn4gxtC9YuSCFGI/MiGTqD8bC64kJBZLXONXDlEzpFXjtwVF9TEZRcGxJUia8DEDB2ymburLmYkrh0y5eJGLHd6BvMccERzc8xsYsZgse8hDtH6oNdC4rnNZWY863aEyC1fUa2AaBfHB+24krGW8iLjl3ruupr+gyUQd9HFa0PDbO1iVQnIFAOGHnLmS7ltVt0J3xyS5Lb57Up/rm4/bt2IQu7LrzecXGYvv/wy/vOf/2CbbbYhv//Sl76Ek046CTfffDNuu+02PP300xgzZkxZB7o+S3ADpFPRRSQRopAvoCJE/E5KJV/nCgWkU3q6+eC46o1DuS/M/pyJy47Qsnv+GzdFJM2hKuWF/WRzPmDkgwzSx5d6TBYh6qILjjsnLjlRfN93IlW7KknTYHFGzRxdcDaEsKdI1euDXgvOUeAyUz/T2xVfVQRGSuAYPOvWfEU2DpFBqpZcYZpRJ3CNaqvTWJPJhyHrpsEcLJQBZYBDflzRYNeFOP6sO7rWHDZwrkEgrhGlPKnaDV0zjTrn/goF1BA4i06WdjtvNo4WVYZobcXJILrrrrucOqutrcUZZ5yxVgPaECUMp08pCJEQdh8ov1zBp3dcgeFUJXONSkWIQkjeMZzalXzII0Ry/+b4pHaqAs91Gj2UkjENIj6cXh5DIK7uphjBmT3Hdm6BKzwei55xTvS5dohejFRt5RD1jEG0Pui14NylPYjGBOVuL/jF31H92dBgsz8buii1C406z2bUFT+rU+aQzRMbvaBdddEg4lHU4mvEtbQTwzO5AqvXXPVffCNCkardNivOnB9nUrXj5sdhY0b93oVo7h4Bx+m1yONSbqkMNuMGLqril3ZmkeKAY0RJOvYZdVwdSbIrU9eFzlZ5Wxob4I4QuWRcVnehVcLC0ZrJae+d+TJr2S7mbiqje9AdgubOr9w/NxZ3dE02/nrKIFofxBkhIjJaSzrGhga71FBTr7PEDQqe1yJCxIf7R9Gu8hyCsdTXWCLlSnYjWrJyO270XEjflNuPci27kptdCd/uOZy6Rvp2SQjJut8cE2QGLrPu4B6WzSC68cYbceWVV5aruw1KwvDilKdwiOIXO3ge1EWdQjAol5m049J2jZLhVGVDiHTfrSv06bz4uyY/lFxm6VT4oFDjW9ORJ39nSlcjqlyzfNsKngZCKUDX82vy1Lis3OZYXM+Ja2JGppniSq5cg6in9ZpKqg4SWEqRXDY0OHjEaizka8oFx41N7Y9CYXRiOM8hMnlQAEdILv42qEhvQ3RsKFcsFYHjs+6KJFHXS9roau26nCOJa+dKSHcz/lz1n3qu1jYTeEgF6SlStYvcf//9mDVrVrm626BEVfyhIiJcZsEN4XkqgZJvV11lQX7CMH5FSUocos7+fJ9esIObus6iiMyhSERLVdx99/wcUp4X5rWh0RUdlVjbnDvu0Why/9H47Ds9V9jbvMfc4fG1OycxF6eFa1TJiRl7Wq+ppOogqkZCiGzGhFmSg9uEmOgKacAo44iQb+HZtHCIVKMuoD6RCJGBJNn0hpT7SG0XGX8y4hQYdbaQ9bpqATWjrhep1yK+lMsxo74cSdDsM9xVkrZdh9tcYVE7eWzdsZEqm0H0+OOP48MPPyzpN1dccQU8z9P+bb311uH37e3tOPvss9G/f3/07t0bhx12GJYuXar1sXDhQkybNg0NDQ0YNGgQLrroIuRyulvkqaeewuTJk1FbW4vRo0evcwWnKv5qwWUWcog8vXyHKdGOSy7LoRpiYjsiPJ/uT9+ZcWRGl/Bs9TOpdhtlONlI1bK7sfgq7VSLx9DfuyeXdEOI3Iu72iNUnDlE7A5ZHkP4uSsJ3hFJqrQ8RJR0Ra+VU9Q8RC5udDPQgm0nID9UfzZEIzSwhOc1bXP7KZuaUE86uNZsXEYpRxIQbVas5Uxi54RG6oLbXcoJZRphxXlQ10sf21rnIXJMWeCe/NLVcFJdZkxJKseNmeqCLbf0uCbaZpttsHjx4vDfM888E353/vnn4+9//zvuvfde/Pvf/8aiRYtw6KGHht/n83lMmzYNmUwGzz33HG6//XbMmjULl19+edhm/vz5mDZtGvbaay+89tprOO+883DKKafgscceW2dz1DhEVVKUWfE17cnKjwrFlRRRVUpGTSjXGnXcIJ9Sn7oqdg7UMWzKVFLOrtBynjgn1EIcPIi2XWO5y1Q4R945KIUYtMwkyHTdcblmqu4yqdpyTioZIeppUd1NkjER1UF00wlWN5KJmlgSKYrPMLExowwd1XCqDtoRm67gvm6okQvUxrlB8lwllEvrTzDEVKSmvprnOFEGkXSOJdel+nmYw8nRcOJdcI5ojWs+JQd96pybqfPzVDdkuC85U/Uf/vAH8ftvfetbpQ2gqgpDhgyJfb5q1Sr87ne/w5133om9994bAHDbbbdh3LhxeOGFF7DLLrvgn//8J9566y3861//wuDBgzFp0iRcddVVuPjii3HFFVegpqYGN998M5qamjBz5kwAwLhx4/DMM8/g2muvxdSpU0saa1dFJY9KHKIIIXIjUAY7rgzTLrgJU56HVApAXkaSarUaavF2bZ2p2fvUFeux2fIQpbyikUfB8mr/NekU2rN0xm0JDdLmoBlE9ogXa/RMF8nSzu4mC0JUW5VCR44+J7E6Q8x1MDlErvlVXFEz18SMzKkLx2NmHe8JKbdeK5c45yFSnvV0kNFaaOccTu+QX0hvxyPfenJJHg1Je14nQp5nENJif/WWrNyuxp9p6Nii0WqFuapjCTlOwnWodgx4sZVaCT6vq06jpSNnNZwCYcnSsXZubi6qPzNNSDCOKj140BltUo3/ckvJBtG5556rvc9ms2htbUVNTQ0aGhpKVhzvv/8+hg0bhrq6OkyZMgUzZszAiBEj8OqrryKbzWLfffcN22699dYYMWIEnn/+eeyyyy54/vnnMWHCBAwePDhsM3XqVJx55pl48803sf322+P555/X+gjanHfeeeyYOjo60NHREb5vbm4uaU6mhA+6ahCJYfduUWY2JRk8TFXpgH9QkPMQWVxmQcXjCCGSjYnqdOeibjFqJIWlziswsKg5qLvLQMfQBlbnMUtEiNY2e3McIZIVVmAQSZFCgXQwNYTM37pm215rXlWJ7SoBISqXXiu37lA3NdEmib8nAnQlA3oj4rwhMNpJ7je9naO+EtCQlJKvTUKNnTlENvegmRDS0k5y1anHqJUQImXzW532kM374jl2RYjqqlNo6SiBVL0W2bap8bhs4ICiblKjCalj8Mhf8bU7EKKSXWYrVqzQ/rW0tODdd9/Fbrvt5pzXI5Cdd94Zs2bNwqOPPoqbbroJ8+fPx+67747Vq1djyZIlqKmpQb9+/bTfDB48GEuWLAEALFmyRDOGgu+D76Q2zc3NaGtrI8c1Y8YM9O3bN/w3fPjwkuZlSqDAbByifInKL+Wp8DhPPkx5XsjTkRSMHo0Wn0dQvK+xEyHiKmqHRoe4u4z+duUpSKULVFheIp9GOZw62zjmUlrbxIyu7cySCS4KhuNyObvMXMfWVfdghWaqVqVceq3cuiMy9OU8RPQmiV+IbQusC7oS9OV58rOpGjqi28/RcAoW9YhXw3FSiq+2FANx96CMfEsuOPW3dcr4uL6izapsJJaegZzRCTHXGmfouBlOLkaMi9u/eIzSNmYVyyEaM2YMfvKTn8R2WTY54IADcMQRR2C77bbD1KlT8Y9//AMrV67EPffcU45hdVkuueQSrFq1Kvz38ccfr1V/qmFS07nzoRYxNezeVflFCiZ+XJJX4wjfUkhHe+gy60SIOFJ1YGA5KEnALamb2k5EiAL3INzIp7bcPGnh/FJjWdssz2buKBpd0wfTwdZocjV0zP7XEvkpkVRdCQgRJV3Ra+XWHWqElhxlVnyN3E3y/W8ziMznhF7UlWO6cB49mUOkbwjtukPNuURNI06qlu/XkgveiptVmXydV86JlCbEtUZd5PaT52AGxriTql0NJwINIsYs1Zm0RdSpur7cUjZSdVVVFRYtWrRWffTr1w9jx47FBx98gCFDhiCTyWDlypVam6VLl4acoyFDhsSizoL3tjaNjY2or68nx1FbW4vGxkbt39pI6BpIe+HOX3KZeRaFoN4QLuH5GvlacF/ZaqgFiFCvWgup2gj3txk61Q6KQ+8vfkyVQxScO8lwkrgMQKSI7NFohpHgSGa05SEKjkvp8BiHKEe7zJx3XF1NkGkxdMLfsYtu94XPlktK1WvdpTtKCbSQEpNSGajNe9H3/fC+k5DKCPlRN3CCkaAadYIbyZUKYI/QKhX5kfMQBSqgViiCHSEwUT402T3oKfrPbvz5vhx5G47NguhERXsdDR1HvUZeB6WNtF5FaV3cjL/uCE4tmUP04IMPau9938fixYtx/fXX48tf/vJaDaalpQXz5s3D8ccfjx122AHV1dV4/PHHcdhhhwEA3n33XSxcuBBTpkwBAEyZMgU//vGPsWzZMgwaNAgAMHv2bDQ2NmL8+PFhm3/84x/acWbPnh32sS5E3fkED2c7sYipuwuX0HHX3CRpzxZ2H+3UA0KmxDWKbljL7lLKXksoP9H4S3mhz9gGt4fuQYHMbds1hu06Cd+2nXRQasU98zXZLAaRk/majHm1Z7se2UGPjVsQ3Awns936kJixO/Xa2ogaKRoVRhXQFdUgkpIfpvUs91VavcOovS3EHLAjRFqknMANovqTESJ5A2caEzZE05aHKI7CUO6hTnqE6goj51p81QxdKW9UtWL8FQqoNcqZxHSuhfNjI9UHxklQzoRPuBiQuTv1pBB553WiZm2FPONuDNaXNJrbc2wtO3VNKLeUbBAdcsgh2nvP8zBw4EDsvffeYSSXq1x44YU46KCDMHLkSCxatAg//OEPkU6ncfTRR6Nv3744+eSTccEFF2DTTTdFY2Mjvv3tb2PKlCnYZZddAABf/epXMX78eBx//PG45pprsGTJElx66aU4++yzUVtbCwA444wzcP311+N73/seTjrpJDzxxBO455578PDDD5c69S6LumgGRLJ2gggbusw8m/KLdtaie6jzBqtK28Luo/7Snoc8uBpqxde6YBfCuGqCeYQoh6DAbUoyp7QLACzKWNOjzPiw+7A6t610AbGTpiTorzqdQq6QZ9up48sXfBKpU6MxXIjmQV8sQuRIoHTPpST/LmrnihBVjkFUTr1WTlENHZdq93pGa34zZabYUCN+1OtV6+DOTqc8MW+aXrrDbujoc+Wj0VyTUNpzLhVfawXOj/p7yd2oPptRAkeBVK2kGHAhVRf781FrrNymUWcz/uocXWt1lvpuwXzrq9OdG0eeQ1QdoGZZLuFmFCmnfmbWslMBhnJLyQZRgUug0gX55JNPcPTRR2P58uUYOHAgdtttN7zwwgsYOHAgAODaa69FKpXCYYcdho6ODkydOhU33nhj+Pt0Oo2HHnoIZ555JqZMmYJevXrhhBNO0FLtNzU14eGHH8b555+P6667DptvvjluvfXWdRZyD0QGQspTDSL+IfEs8DgFQZNGhxLJkBIUUYgQpfnwfK1ukSVJmOmCkxAiz4sS85FQsGroOORSsobddwEh4voy+2vL5q2oSbBDkoxEQC60GxiwDTVprG7PIZv3yZ2UM5Hb+NjZPcihXOZxLaTqqgpIzFhOvVZOUd3jUqBF9JxEJQ0kxLXWMIioNoBS4kNy+3hwQohSXeAaSWiwcxJKR1J1xF2R7//ItSYs/ulUeF+TOZeU61Ul8LTMUivqMaj+bMhP0M41Qq++pojW2Iq7Fs9JVsxUrrlzBf1XrxpElPHXjRupkg2icsrdd98tfl9XV4cbbrgBN9xwA9tm5MiRMZeYKXvuuSfmzJnTpTGWQ1RuUOgyIxAiNaJEjDJTkCQXw6nKgppEN1jwEMfz36i/s2WIjeUwEZCaoqEDdg7qjis06sQ5yGH3vjk2i5FQbdtxOSJJwTyq0x7asrJhCkTKWXKZ9a6twur2Ylb2TK4QFrsMxJUYaY7FPezeLYx/fUCIKlXUzU+wI7YZHSFxWSruqrqbBPK9hDiQCWKFxVrdrFiDRSSUK9CT6cjFLxl/9kzVnYu6wJdSPxejzJSI4ioJIaIQcoFUbTf+0Dk2t3pstYKhq/4+4iTJxqSEOFFIosj5qrYYf+sDqfpvf/ubNbnZxirqTipEiChSdSGu1FwJlDZegRjGqhhOwdokRUUFDxMbdm/uzCQCpS2ihFC6EhpWNBLt/Ul5TvR2MpJUaubrmoDPIBC+i+0khKj4WYNiAFFuM1PBcoo+VtzVYuhy77nj2LLcVmqUGdDzek3jCwpu9AKx6IjoShW/wLpmoDYTxLLtFD0kF3dF2C58hiUDyzFqrdSs3GwpEGPBtqEhoe6wkKrdkvCm5DXBN8fWdZRLHUudwJdSxyf1p65/1cI6ZKLyAFfcuvjaHQldy2YQXXzxxTjxxBPL1d0GJcH9m0554Q1GJdML2rmGnapEYytC5LmiK7TRof6szrGWmRg9QRlrNoPIgQdV5EuB7S/4KDRMLO4hV5eZLRotCqfnjTpnhEjZvQXnjgq9L3eUWTxfEdnMHUlaDxCintZrBcLQd11gpXbq5ifmMlPvQ4firrZ8aFTtRdll5uaCU0t8kEkow2e9xLB7G5IkLf7KOQlz/VgJ6bxrLXpG5LIcIbpiCVmPE8Mt7QTEyfejum2SkUgZ6xLK5XoPVzRC9M477yCfp8mdG7v4fvSQBMYEtYAVFKXmlIdII1/L4a6RoRMfn05cpg0ndZGTDCI1ZDdwN9kySzvNwbO5zBC2cwu758+vely7y6z46sxJkpAfZSwuuZmq0pELtoPgpKnwffF3nGFC98/NIWonGzrhOCywfCUbRD2t16joMfqeKL66utH1xYl/1qWcMKrb2yl6zIYkEfpPRL4taUfi3CDHxd/aTjgnPnF+rWH3dpeZK+IUGCb8Bg76HCxGYp2AOFGuVYlArt4nEictbXH7FrpRb/Q8m3EjkOACel4UoUVxiKIHXc7oShk6ZGJGZTco5yHqjDJL86Ht6mIYuGooN436M5cM1JpSExSMinJR67CaDVyKvDNJpbbFv0ZwUxTHYhg6lsU/UGpUd+q1Cd0eRDvVkIgMbMJl5qDAgTivyhaNY0tW6U7mjq5tIrSUjK5Y3FJk5XmTQ6QEPLjkyElZ0Ktcwa2dimhLqQNIo0PQMSEaYomytN//+vMkVafX80HZOEQuxHXX3ExyHiLX2mjxdvzY9OPKur5auP6k8Scg5N3hMusyqbq1tRULFy5EJpPRPt9uu+3WelAbmoS+cS9ymdnC7t12eRbyNYX8CFClRr6OhVhHf9cLKJe2u6xyCLtPycYfFU4vIkQpS+SdYZjwhk4wBzcY3Zr52jSIrO7B4md0SYLI+AsRIsplpuT1WJPhUwKocHsmV7C6EavTfK4qQOcMFHyJQxSle6gUqTS9RqErZGAESaoW7jGNf6Nfby0DtUPuI811JWxCqtIWY4161i0bQhfXiqvb25bA0SRfyxs9yKiZatT5dpRLC+N3CM/3/eJnXOSpjS/l4kZUP5LOHYUk0twg5bq6oGbdoDZKNog+++wznHjiiXjkkUfI7xO3WVx85eZ3DbuX3EhamQoHDlE6lVKQn/j4tLxGDNeIijKT3H6AbCTQ2bYtRoJEqtYQIkkR2ccGUMqUbFZyRW3JBUdG1BHtAiWW1gwiHnGss2Sl1VycHXbkpzpMVmnfXbZl7YZYJYTdV6pecw2MoHbX5nlX3dkpoZ1rPiAquaqNV+OSS8kanq9sHEUkyURILcinhBBpfBkBIVLPicyhLL6mUh6qYCdVq1QA0WVmZO+O5fAxXGv8MwytnYReaf1ZUC4nN6IX6QSZQ1Z+vVFyj+eddx5WrlyJF198EfX19Xj00Udx++23Y8yYMbFsr4kURc25E9w47bl8bPevF3J0iWRIOe7gIO64csrCxLXLUwaRkDoAcENDNETHQviWjARt4ejcOUh5jWzcoNJLfDjC7Wl+rlr0jAMJviqVCqFqikMUKGx396A813jyN7JZRCC35ESJoG+6n3UplarXXPMQ5f34sx7PLxT9LWVIpgi/BZ8i1cfREBuSJCI62ubHHimX8iAnoTQ2Kz4xh+Lc7JsaHfm26yuNVG1BOapEXV98deVpmQk3uXbufKkgxYqNQ8S76mgkkeafAsX7TuJ4qutauaVkhOiJJ57A3/72N+y4445IpVIYOXIk9ttvPzQ2NmLGjBmYNm1a+Ue5notK+A0WnQDSVFPmB8+XXu3eZujYH+K0YOjo7fh8RQXFeg8j5Swus2phx6WV5HBQkikvgkgpI0EvP8ITl83F34ZySHNQjxEZCTLRuLrKxTCV0TA1kWatw7WotSRhC42/Kl7hqmORXJLacR1Rs0pAiCpVr6l8ibSwa47KoKRY7op6HSSSNqUPguPWKO/J/EJWNNiNV+hKvhaTUDJGgjoH9bci55FCviVisHB+zXYBhkO6h4j+aOJy8VUteCsRnK3FYmNuRP78WtsRSKJk/KkuMzFCrxJI1WvWrAnrhm2yySb47LPPAAATJkzAf//73/KObgMR1ZhQC6hy0R2lZap24xpJiIOaD4bfNaJzDl740GXyhTjKpdy/YrV7lafgwD+wucx0pds5L1IRdY7NMcV9bclcI7k/lyr26bSKhhF9kRyiOFoXKB1rFW8D5bIZMM7k02q3c1IJHKJK1Ws6+dbhOVFdKzGEKHqvLU5MHqKivoquDeta82zIT/HVnodIedaDdhZCspiEMnzm9FIQplAFb+Ntor+l+5oOMZeNPxdd73kQ+6OMP8lItCFELpmvyXxVUnFfjaQvpWeQydfqfVduKdkg2mqrrfDuu+8CACZOnIhbbrkFn376KW6++WYMHTq07APcEETlEKmIkJnY0D1TdXTjSAVPKaKlncxrQYhSESrh+3FLn0wuaHNxCQoh4tWkRL6Uyr+REAzXRIrBpXE2EizJ8ILTIrkRNYRIMmCVudZWCZy0sDZQsBtklJ/jOTFdCzZStes5qYQos0rVazRPR3qeFDeSgBAV3RL09aHIzcXj0v1ZOUSOfEHX8HzXwtBR9mbZjRQv58OnsCj250KqtmTvJiLlRPTe0WtgTVlgzNVKqhb4h6rr0q1MiRx2T7WzpSIot5TsMjv33HOxePFiAMAPf/hD7L///rjjjjtQU1ODWbNmlXt8G4QE94inWL5AvDiqnqm6+NnaKA7KBSO6atI8T0e18lUF05HL67sSNXTcRamVUKOJc+fp7WRSdYSG8MoKiAwnycWljsUlo6/ajkZ+SjNgq1IpVKeLHVFZwwPlVBeWJJAJlK7lR5xrQwkLh/pZujvCRUqUStVrFBpsQ1K55069D1Mq14gJu1c3F1Q7MoTfVV9JSJKllpl6TsR6iRRqIrjlZfdQ9LfEtaPOiTWiqkTjT0JrAqMzX/CZEPjiq6uL3wUh0iLgpEK2NmK4ZtTZ9WlFFHc97rjjwr932GEHfPTRR3jnnXcwYsQIDBgwoKyD21BENSaCByBX8FnSY8rz4KX032r9qciPkPnYPYw1csGEdcAMoyN4m1Z4UECRu9KHOGZx18AbMK4IEQWP2yK0wuOSCqb4WmPJ1xEhP7YIrcDAshPIgWh3KaVJqEp5CJ51ycVpS/4WKKcgb1Q2J+8GnVMHuLobHbIcA5E7tyelUvWaGgLvEskllcIpGOeci9BSDXN1Ex7LfJ5XFjrnrPQuvELLZoo6J1JW7nTxefJ9+bgq8uP7PjzlvqTdQ7zBoeYXsiE/ckoU1ZhwMTqL5y4DBpkyjEQbX1AyErWxSQkXlXZS6oBok6xm/hfOcSUgRKY0NDRg8uTJ5RjLBisqex4oPqC5gh/L9FxQLV/HkhwuCJEWdi+4YFJKdFMsokQZm+d5qKkq5qwxybwaD8ApdNKShFIlXwvuQQ0hEs6dy4OuHteGEEXJD+0wOiArovB6pfnroPZXlXLLTVJfXXzMuWgv3zDqbHmIbLyqQBHLc42OUQkcIlMqRa85k3QdEAfNCFXdEjHDKWrjdS5i2Xy8gKozQqQsdC5Z6a31CBXd4ZTXqNOYoOagHkNFkgp+FMRhjsMpWaXNqKOQJNK1hqidY5JMKRWB6TKzb2r4grdafqFQ11tQM4mQ7rhJVvsrtzhxiH7yk5+gra3NqcMXX3wRDz/88FoNakOT4JoGO47ggTIXKC0Pg0MYq+4vtrmb9N9S/VWlUqzLTOUQAZFBYYbeqyhXeExrgUb77lKKgFN/65rALqgMnyv4JMwb/NSa1K1gVzDqvJyqh1vQsADVUnOdUGVUAgUbIERcMd4YWZrLtm0YOmxxVxMhsrggeopDtD7oNf3+lyJ5iq969XR6U1Pcb/EFVE2XBIdMlVouxBoE4ju2UzdwDv1JHCc1N5NUUV7PL+S2MYvQK8r4QzgHl2K8dpQ/bnTIpGr5WXdJTKu66VzKyjgXstVI+jJqVm5xMojeeustjBgxAmeddRYeeeSRMAIDAHK5HObOnYsbb7wRu+66K4488kj06dNH6G3jk4KhYDjXBP0w8TeYSoK2IUROFeVVZCIWPRYZa0C0czARIp0HJUVUKcpPcPvp8H3wMMWa6URzh91qkG0boA0FF7K0OmYJDSHDU8XrFc2BOmywgFWl+Ygidcyhy4ytgF18tWbvDpEk/noVf198lVxwlYAQrQ96jQ60sCyIzOKvupoAWF1mwXXheB8UGmJb6JySS1rcSDq64oY4sG5E5a0UoeVMIFfdSE6cL7dCtvZkldT4+P5cC9m6Bsa4ID9q+RlbOL0TjaLkkDC7OLnM/vCHP+D111/H9ddfj2OOOQbNzc1Ip9Oora1Fa2srAGD77bfHKaecgunTp6Ourq78I12PRUV+gAj9MXf1tCUt+VplY0J96FySGqpZns21U4VugeiBis9Bvan1z7g5iC4un+iPMrACXk3ajZBepxpEuQIaaoz+YoaOW74OKSoQkI0OFanjDNPiWKJ2fiepmtpJBQZQMFcuosSs72bjEJVcyNaygHvdsNNzkfVBr5WKhkg8HbUNwC/EpkuCOy61gNmKcbpszJwRIsHtpx1XKGdCubOp/kiOli0PkQOvSkd+3IJKbKiJi+EcRYoWj2HWBYuTqmXdLF0vNcpaCmbR0zMIKJdBQSmnOHOIJk6ciN/+9re45ZZbMHfuXHz00Udoa2vDgAEDMGnSpIRQLUhISDZ2XKxPvgQIWgxZV5K1hdmbY2RpX0MmuHDv4JjB4sUlBFSNPzlpJMI5uO58xcgrDW7lCc4hPF4VkduppIZxXg2z+JtoiDUDr8PuMuWWlbvYV6dhKiis+pBULXODJFeA+nlASOfC7gOF7YSG9TChutL1mu4KcXDVeLxLp2Ccc66/aHEtvuf60xdhx2dd4rypmx9x4VSfdcFIcOA4UWlCqONSz7AYYu4aJm/L4eSKEKleAwfjVM3NlPd9pODF2gCOCJEnG6auBWpd0zOoyUrLLSWTqlOpFCZNmoRJkyaVfTAbqkTV7uUdF7VDsiE6oiLSbjA7ZFylKV3Ghx4YRKHLTOcQ+Q5KSB1byoNoJGhuJCnnkopyORDSU53E8FwmT5a9iEjVbnwZOSqiNCXpmodIjUajs9wWX0M0z5FDZCNa2gynyOi0R5lVCqG6UvUavUkSQpsVJCHGUTTOOcdJMvO8sBwiDQ2RnrkoitUpUqpc7iGNp0PPQf1ddSrFRqNRySpFvWYzTFyDTzSD2K7rrQhRgAZX6+kUFMCczsotPsOQDVMCIbQVspX6Mw37cko3eOESMSW4L0OXmWW3oqIrYhijZfHXIW2Q7UwuB8fTUccGRIudaUyoSiglKHBXw4mCvW1h/KEbkWinHlcujFp8DSOqiOvg+1HUiksFbG3nK6EmyvWSCtmm05Y8LEakCMshcsxDZOYwsWaqdoi8q4SkjJUsLpsktfCoFO4dc90zz6cadVpsZzGcHBdhO0KAcK5pYeHUkQkH14qwcVTf65FhNDfSRpbuCkIkkrQd3VKU4SQZiRKBXB2HmJiR2HCXg9/kmr27OxCixCBaB2KSqrloAfUGc0pxb+EQ5YiHmCvQCOjFXc12oVGX0jlEMZcZqcBjQ9O5EVIhP3XHVSpCZIGgOWJ4cb46akI/6NHfcpmS0pWaJ8xVRYiqGT4aEI8oKfiy0pXS6hfHUtDasaRq89xROZKCuVZAUsZKluAUS0iCek2le8xEfmwJHG0cIiqKK1/wY+V8tAKlUqRcaEzIJG31nEgFVFUEw8aDKh6XJ31TySqtz7pDmHwpJO3wHIuIk+3c6c8m1U5zIzqGyctR0QjnUCW4QrVcSg5oWI+F3SeydmKGrHMGkXqDSanVSaKdcPOrRoLpgskZypRrpz6YAFh0Rds1hIu6DUa1I0Qa4duGEAlIUoTWRedYMojCxV84JuCWqVpF/lz5UnJiRpl8HRxCJZCLNZ8ci7FK9diAeOSdzYBNhBcXsqyegZpHMMyFhFvEYoaTQzs1ozW70Uvxriv1d/YoW3Xxt4eYu567dIovFkuhvCSHSNk4lpq9WzImXDdTruiKWlPTXGPU34n13Qj0yk6qd0N+ZL5U9+mOxCBaB2K6m7jFTr35w/wy1lToApKQj99gsQc9rysELjLMN5QpF2VG1hki1k1XuFUl0LkmKxTD7sP+eKNO/W21wI2g67bxCqEqnRIf9JzCtZDmmnOdqxE9BtD3U/BTey2z4qstU3WUrJJHnILPuiOXyIYkLkaChhBp2YDlTQ3nlje5RtaM1oqRYDuuWxLWlMVIiPfnisKYC3bE7+zMzWQ5d8XCow4uLk/lcvGGjpqeRIzkKiFfmxP/RlgT6DQhfC4lW9403RUm9Efx5cj1D2F/5ZYuG0QffPABHnvssTCxmQmTJhJJwbiAXJil7jKjDY7i74IFVuUQ8SiHtHCqD1dKeYhNxCGvKA51Dpzi8Dx+nsXPOo+pPpgCCqPnF4o1Kz1fh+exkXIAgXIIO1W1nWjUabC3rNQiNCzWLDyfxTxEdteCCo9TkWbBXMtVyDYQ17D7SpJK02suhHzTZcaTpaM2AJSFXQ6g4PoL3qpjAwRjwoZoO7ZTN2eiu5167hiEyMzNJKH3sntQ2YRKWbQVF5dLQEYxFN3FEHOP5OLQOo1DJCHf2thcjDXIxqQjktSdxV1LNoiWL1+OfffdF2PHjsWBBx4YFkQ8+eST8d3vfrfsA9wQxExqyO30VNdacPNLvnF9xxU/LlWSwzQ6VKPJ8/hIruBtpDgsqQNssDfxAFurQktuJGInLSFJnsIhIvk3DqiJOg6pnIUO8dsh43TKY9MkqL91RcPS2v3En2NJqanHEA0dMkKl8g2iStVrVPQYl3ARkHf+JirHb2rQeUzZSKCIxkD8OdYLOQucFGVTI+brUtsJmy49u7TMvzLpDFKmask9SKX/EO9/iwGjGk4ubkQpCaXejtfhZN40K3oloFKuBqy6qXXQpxVBqj7//PNRVVWFhQsXoqGhIfz8yCOPxKOPPlrWwW0oYnKIOI5LZOhEi4lMFlSjliRXDV8ENmcsTDbCt40YrhU3ZOapjsM1dFYnbgpzTcmRd2E0TioqUkshRC5h96qSCNAmuqxCMLaUOAfV7edi1KkcImp8BWKBke6nkjlEwtgAS5mSbiRGdkUqVa9pu2YuH5DKgxF2/uY5t5X4MPMV8aHoJkIkBFqI4fmUThBcNQoaRld2j/cXM9YUfQUIRoLqHhLcg87VBpQ1QUrCS29++Q1c2nKOqQ2ruUkicxpZ8qY5oVw2F6crX8q4P8spJech+uc//4nHHnsMm2++ufb5mDFj8NFHH5VtYBuSBNc0WKi5BVu9WYPFSUq4Z8vXQSFEMaUWlIEIDCKGpMsZdazhlFLD7mUrXzYSCqXNNSUbYirBOXSZZeMcoiiBmSsawhdBjMbGLy5aO09GflSEyPd5w0nlrhUNorxbRB2Xr8gkX1uI5mHYPRVlFhLDK8MgqlS9RuUSk6LMNEJqjBtUfI24QXR/XDSa+XyqyKfXiRLkCz6v16yLuorCOLiHBCNRrVEmLcRcRB3Hq1LPL9mfY8JZqpajlGLF1fjT3YPCZtqBaC6dX70dz0fj5mBPEyMgTsp9V24pucs1a9ZoO6hAvvjiC9TW1pZlUBuamKRqe4ZYZUcvcIjUPEQ2ngaHOAQ7MFMh8MRIhMem2qnuwSrmmIBOPnTZNajETSlkU3UjSTukYtg9T1ynyk+YfAGVkOlaQkC6XiGSpHDDSKMuTygOsr/iq+rjp5PEFV9rnDNV82H3mpHo4Frr6UzVgVSqXqMWYslNDfCGjvkMcwsn50aKIwm0MeHCv3Hl/NgiqjjjT/2Zji7L58TGIVKTSwJxXUQV6LZlpXcy/jyLcaIiicw50YzElIAkakaTgwFjIcuXmk7G8/jroLarCFL17rvvjj/84Q/he8/zUCgUcM0112CvvfYq6+A2FFHDP9VXFpZNWaLMiIfTlvzOFk4f+Gw5w0l1NQV9Fn9Ph/bqiRkFpSYoK7U/G/8mRyhJ0hBTDKygBIWZXFJVHGp4qswXcNiVpWQFQ4XT2xAijgSvfpbyImNHyldkq1EWjEVMBql8JtWBMwm+PS2VqteoxKRSBBTAL8Rxw8mCmoRGgsw1iRI42vVa2JcUQGFBJmjyLU8MdnEjBvqPJRprkVIqQmQ3JmS95uZGlJA/dR4SkqgZicL4KOPK92VDl7sOxXYI20kGsW789Qz/sGSX2TXXXIN99tkHr7zyCjKZDL73ve/hzTffxBdffIFnn3227APcEESFbgFeEfnKDVFTFezKhLD7lIe0kCSPDs/X25gcIi6SSyUjq+25dtJORR2b6y6kyL+xc1Kq0nKGbC3KjMlDpHavZnTN+772wJA73y4idVo7T7kOhG2ionqpgn1nlvK8MBeRS84lDiEyDSdpDoCbu7FSDKJK1Wtc8kOtTXgfImwLUC4zw4Bhku5xeYhsrjXuGdAWa+eoMDv5Wlo41Q1CSnHp2M4JW+JImavkHqRLd8joiujiCjaijpuulLBxNF2rrHtQ2UjpfKkC0qkopxmFXtkie12jx1xdpuWWkhGibbfdFu+99x522203HHzwwVizZg0OPfRQzJkzB1tuuWXZB7ghSDwPEb2gqJCh7DLr7MdKUosbCRw8bnKIuGi0aNdI96ciSaKbxtFIcOFBAZGis0XeaRwiJg+RtqhLGV216+AWFeOWNyUV+sfFnEtpjzVM1fGpSSjbCb5UyA2yJFwMxiy102Bvh/pWlWIQVapeowiuLPJjIwYzCJE78sOjJmI7VyRB0R0ueYi01B5SbiahP5UHpc7BFo1mzQbuWYjGwSZZQc3kJLzu5TGibND0fRJrJxh/QaJKqp2O/AgGrHb9pajdzv481ViTiebllpIRIgDo27cvfvCDH5R7LBus+MrND0QPH5+vw0KqVh8SBw6RTrTT23BRZvHSHfpNyLnDVCRJygRNkQ9tYadSXo9AOVelUkh7Be23gag1n1IpPuxe/V21tkPS+9MSKTrA3mq0n3S9NBenYPwVUTO/sx2P/FgRos6Pgog63y9efzOsNSJVu81BDJ1WjLVKkUrUa2TFdoHwC0SLtUm+dS3ayrWLE41htJO5S7qLN36PqWTZgu+A8irnxIyC0rJ3CxuReM4l5hwTG8IOqh2x0RMLmapGnc1l5oCuSZvkmBuRczcSqCTAI0muddtsOtw9e3cFIUS33XYb7r333tjn9957L26//fayDGpDE9Pd5JLDRwyTJvzZNg4RH+qv79Q5rlHo9nPcXaY9S+oAAka3KQQJDVEfOh66j/6WSndoBpGKEAl5oyTekouyAhQOkYr8CFwLNaO1lA08lQLqqnmEKMxorRV85A1xKaKOMsKlXV6llO6oVL3mQjTmwulZpMZ03VsNLLu+cu1PQxwYPqM1o7W6cDJGt1ajTENDZAK5FfmxGJN6OL0dNSnqejd3kxPRXEFrON1cbOfmRtQI5MI5kQjk1BxsRctdOEQVQaqeMWMGBgwYEPt80KBBuPrqq8syqA1NzF0IF1KtXujAmLBlqpaKu6oPHRfqH9/lgezPjMZw8bWLUVwEyuVq1MnEZb5ArblDcnKZpSUFjmgOirKSstfKIbFRioHgnFCZklUOkeRuDI1Yr7RCtuqY9ePq7WjCK8KxOZVfqBCDqBL1WmxRd8iRAwjV6WOGE4Po+Hp/9shTA11hN0l6Dh/JwOKOyYbTW8qZ8ERj2tAxx2Yi6Sx3Sdn8iDqB4Bq5coPEPEQSGsYgRCwVIOV1RjIH58DFFWoxdCSd4Io4BXOtBIRo4cKFaGpqin0+cuRILFy4sCyD2tAkeoCLry43oksiPX3XKKAwwsKpun0A3lgrNUJFRWBIo44kfMt5M9yIy6o7j0d+vFSUhyjuMov+dgvZjQwY8/fqcatSNh+6YsA6GBM2ArmvnGMJIQpusWoNIaLdKMV2kduDnYPtelVY2H1P67WfPPIOrnroLTS3Z8PPzISLHGpoGpe8ARP1BbhloAbsiFPIv7GSr3VEUIqW41Gp6G/JLWUWvLXmZioxQo8lriuGjupuj+kEYq724BMX/ccT12O8KoeEmwBvYKveAPc5uOQhUt20FZ6HaNCgQZg7d27s89dffx39+/cvy6A2NPGNG4xTbHoivehm5ZAOVw6RtMCqyAoAxQXDjc1mOCFsJxlErnWL6Iyu0lyjwpCmjVAwFhgONVHPt0Tm1tLqG9EYqmjEcGEOWkkOwRWWc5ireoyUF1W8l1xmEkJE5ReiQ2w70au0TDTvznpEXZGe1mu/f2Y+fvfMfLS058LP9KggxYARSmMAfG0stQwIwC86HFmaLQLriBCZIetsDh8BITKRH26uZloHd2PSLRqNq8lFFTwtzoN3rUn6T0PSXcqZCEi6Skb3hI2oydHhritdbcDiDXDggbq6TCvCZXb00UfjO9/5Dp588knk83nk83k88cQTOPfcc3HUUUeVfYAbgqiRNwBYI0ar0SNUKHfxK/u+r/vaGYWgLsLqK6dgbKkD1JtfrWXFuuBSHhvtoPUnwN7qb9Xkh/FdXvS3xiHKCrtLL1IIrGFq8bVT14HcSWkJF0EeU+1Pyi+lzrdIIOcJ7lHYvX33DkRuRNoIK77aECLTBdHT0tN6jVp0zB29zUiIk6BlsjRrOBk7cBsnJc6/4RdYFRGUyNxsBBTDg5EIv9rYBF0KSIaOcY5tSQ1TEWpSPK6gOxyyQauGji2Mn03MyRDIYwk3GU6ahCQ5BVDY9J92/e0Rder5LZeUHGV21VVXYcGCBdhnn31QVVX8eaFQwLe+9a2EQ8RIcE1jD5OQ/6OuKsr30JEthDt8wPArMxwiDVr2eCRJXYSLfdqMNWivEl+mxjDq6pQcFvqu0YF8aKnsTkbjGM3MHTfHIVKROnUnFY8yi8am7wZ5BSNGlKguMwH5CxY6W39klBnpMtN38PmCzy4IgFvpDmdDt0IMop7Wa9Q9FouUYs5njN9iSbhn5txxLd0h8WXU/iR3e8BJKfjyhjCwm8SEiwJqHCbDNdAwWzi9lbhuupEEI7FK2GBQkXJiAlPPwjVS0D9rJQTn+wSd7ejjUghRNl/kS3mK4UsW9xX0lVVPGte2nFKyQVRTU4M///nPuOqqq/D666+jvr4eEyZMwMiRI8s/ug1EYi4zZlevPkw1VSnUpFPI5AtoyeTQt6E6ahciBClWqWmKI827zEyEiKtl5hu7BpvhlPZ0F0xHTjfqgu5tRWBL5xDxfCnVeFNJ1TEEzkDDOJiXetCBuCsgl4+PzUYgTzuckyphQSjON5gHRIQoamdPOAfEy5lwyi/iWcjweCVIT+s16h4zSdWcW6LUHb1p6EiGidpfVyO0TEOsKlXUa3EDK5prsBhzbrWgPzaztGGscQiGmglfniu0uXIcIg3RVu5tyTgJDRMbaiJ4A1R9yiI/nXOostwn8Yg6BoXT5qDqAECxBZ03Sep94pSvrRt0R5fyEAHA2LFjMXbs2HKOZYMV1XcLgLX0TYJfr9o0Mq0FtHbk9HbKQ2xLOBb0F7pgGETHauh0js2zGHWq8adGaJk8IvUhcSLfag+TFGXmxj9Qa5lxLrNQ+bERelE7FeiQdpcSgTynnhMBIQqN2HTKiXytIkQ0qVpXuhnElbNOqo6uK6f8XKPMKiXsPpCe0mskQmQ8w8HCWfCh5fDhdvQx95BhJATPk821xhKSuQgtoXp6+JoX3FKeF+7+xUgpwQUTe4ZLRLniz7oefGJNO2KgYfFrgfC4oQEj6L+i8ScjOsFxbYk046R6mUPGc9KiOehomJ7RWst8naLvOUC/T8I8VJYI5XJLyQZRPp/HrFmz8Pjjj2PZsmUoGCfziSeeKNvgNhQxCclcJmUThWmoqcKK1ixaTINIWejYcHpff0g4t1QYZZY2lBpDSDb9z3FeTfE1lSqmuA9QLhOFKTWplxZRZ62oTI9Nfau69OIIET1XllToeaFrLVeg3E2IjU1yI1WlFETPghBxiJ76WSqlGkRCAkcBhVDvL7O+G+UudEXDKsVl1tN6jbq3zUgpjZDs+0hBv88jhMjuzlHb2xAiq2vNwivkSdr2hIC2jR7nglGfJfXV7kZybGdBpmxomLapLbluG6/rXQjptqK9XLJeCUky+VK1VUQ7m64nOEm2QJtyS8kG0bnnnotZs2Zh2rRp2HbbbTW4PBFagmsaZ+3zUQAA0LvzrmrNGBwX9UZkOETqLk0lM0rJ0ADeZaYm+VPbx3g6huFUU9VpEDGRXFqYvFB1vsrGISLcTZxrIXiObJwHc8ct7QaD11zBJ5RkxPmRIq/U6DHOqNPbRTtpd5cZH2WW8uyh2Gobsp3GjZCIlt2n1LoiPa3XqHNlIivmeQ880JzBIblz1GPacpPx93/xNY7CyFFLLiUjeC5P9HexliNzTAa9YnMzWYjG8dxMrrmePGQENEzPpSSlTlHnQKNNwfg49yCXh0q6DgCPOPIFb3lDTEw7ohzX8/XPqPlWhMvs7rvvxj333IMDDzyw7IPZUMWPLcSypR9c6IbaosaLIUTEjSgiRKrLzGhncojYcHrDcArmEjOcjIeppioFdMguM3eEiCfzUqHtZndcLiX7bpDOCRXfDXam8xf6cynxkU5FfRLNDA6RENqu3Ce1IkJUfE0L51grjWIgFeRcPf0+57hGleIy62m9Rj3HXFRQrB2zo2ddUjEjwZWTxCGp0NrxC3EwV0sUlEAFKDk7ts09ZHCDXAjE2nEdURjOjV5lSU9BGU7cxiw4nhUhsiF6ZjsOcSzErxfAG0467YHXV+kUkPLpsenHLb/uKJmnXVNTg9GjR5d9IBuyRMiP/pDEXDrGhY4QItplJqEmgfLyvABGpRe66JhBHiKQ7dTCe+Ic/GCuxfdcxm3nBH7arlH/jDpuVZoPu+eugy17Lcs1Uq6D1F9w7mwk6LxyLYJnnUSStCiz4BhEf8q1CObQTiBE6nnhFpiweK5irFHj0wpDConpcobS7Wnpab1G3RdmpJSGECnXx9WAMTP82sLuXUt8mORbd+OEb2dFmwyUK34f6nO1GmGeee7odvY5wBgfg66oc5VKdzigZiY30nZ+I8PU0SC2bJJVvpTYTiN88zxQnR6xbgMySjaIvvvd7+K6664jSwps7NKezWNlawZrDEQnuD9MY8Lm42+oCRAiurSEmHPHeDA5YyIWZcYYOs5RZhRCBCCTF9x+DjskLQ8RwSEKHhxVIZi8ZTUSQ51zfBeqt+MKo3I7qfg5KShz0FETqj/3KLMUG55vRp5EYfd8EkqJu0ERw6l2lNuv+DnnRolNr0ekp/UaZQCYiz93Ps1CuSb5OhC+Hpdt4XTjJNkW4mBcTpwUa+h48b2zAePgplPHaDMmOKPT9812NnTFLaJKyvXDPcMxsjxDqrZlNOf6i59j7j4pvqq17OQNoS2vkX7Nyiklu8yeeeYZPPnkk3jkkUewzTbboLq6Wvv+gQceKNvg1je57vH3cdNT83DSl5tw+UHjw89jDwlrcRdfQ5dZTfHytCkIkVbLR1Mc+ljUelcA2IUzvLlClEN+gMNIOQvXSOUQAYQxoRiJIkKk7GoldCX4qEpY1FV3TtBn8bgykhSiK1k6X5GNp0AlJgvGrEZoBeMo7rb4uWaVa8bNVb0sKc9DHYMQaYnuPGGBMXaD5ufhe83t4UC0rBCXWU/rNeo6mjwYz6PzRHEcHaB4HWuCvmMoh4VrYts4MAYb70aCNj4pusmK3saOKfOWSiUa8/d/Sntlo9usm644apIvEK5lIiBDJFV7pVMBuGc4ZRh1LlyjDCTuGmQ0TDknKWau6ji6YzNVskHUr18/fOMb3yj/SDYAqWYezuCaBje6rV5Y8DBR7ib1J1IYN5u63ooQBb+XUZNgDub9avrko4r3wm5QNRIKvrbguqaHpwqecso0FmXDugKK73mEqPhqR5yic2zu8rXwVCVPiBtCJBh/mpKMOERiVm4HY1K9n/IFn+eQWYiWlZapuqf1WmiIqq4w4hwF5109n5wBA4AxnPRjstw4w8CyIUTVFkMnZsQI4fmBseb7uk4wxxYiDjZyM+OCUfOmqe2sCFEJzwkgn+NqZeOQL/iaQUslnOXSKaS8wGhmIu+4c+Jg6FDtTLe3i3EqEsiVcyJufo3jllNKNohuu+22sg9iQxEbuuLsQ+98PiJ3U1ypFdvxN7+JEPELHYMkcVFmntGONeqMOUh5iJgdrToP+0OCcB6cMWHOgTOcTNcaVxiVqw0VC1nPqw+6rvy0/gijjnKF6bwqea5AsZAtZ6yrP9MLSNqjdsyFWR2viYbZUIielp7Wa1T0jXnOi+0680QRho55HwJAtlBAPYrGMLfQuSJEHA8m2kxZwvMtx6XC7oP+aoz7PGZwOKPB8thYY83R3eTMvwl0DKH/lCIFDK+KP28A7x7kXGESv0lvJx/XlvxS3XAVfGLzq54TxpCkjltOqRAP/oYh0S5P9t3ajI4Y/0ZDiKLfqHloWKUWPOjMMTkOEQePRuhKfDxqO2kO6jhsnBQqgRkFo5IIUew6QBsbyxcIycjFdrYisM6K3ovC5Kl5hKiJx7vMTISQu/4xQ8fCZQCMSD6LUR+6TIXFtJiLKpibjEJs7EIhveY5B+iF3XzWNcSByGtk5TLGnvXSEAdpQeT6Uw39lKATzEWdL+5a4tis0Wj6HKzZux0jtMy5atdV+VviWnIbbtt1dU0nUs3wpThjkvUGeAYaJkSounCIKgIhAoD77rsP99xzDxYuXIhMJqN999///rcsA1sfpZqAvQE9Hwxgv2HNdPOqlZwzHpI0oxBcydJRLTOd8BjLaG0gPywnyVAwtVZStX5jFx+6eJZTSSGovKq0YiSaz5LrrtGEvWsZhEglEEv9cQnMOJhfih7UOT+8r91sZ9v5AugslqnPLRyro+FsusKqUh6yeSJZZYWF3QM9q9dIQ8dwewNuhlNgiPp+ESGK+qN39BznzWpMsC4TflPD9acZ+jGEKNIJLOeni4RftkyFsKnR2lmycru41tS5UgZscFy+1IZ+TH5DqM/Bdk5M5I9DnKyeDxUhUtGwfJRLSx2fjVdqGuLllJIRol/96lc48cQTMXjwYMyZMwdf+tKX0L9/f3z44Yc44IADyj7A9UmqmIepYCAO6cD6FWrDADS6Yu7oS1VWHEIULIQ2ZMLmgoshRJawe2k3qL4XSYUFXXFwris+Y7i887UiRKGhSysOLZGi8gzHroVS8yzkd0iGjpL/I54xPHrveXYiP2AgRJZ709WYZOH2vN5fT0tP6zXKzUGFF1PoinnOAfp6uyJE8YXTbSEulVcjlymhdYJzkVXmmHaicWc7gfMozpU5x1LEl44QMbpeyM0UL8lhQaW6iJrxSSiL7yOdxadK4OYK0LxSCSHqjs1UyQbRjTfeiN/85jf49a9/jZqaGnzve9/D7Nmz8Z3vfAerVq0q+wDXJ6lmXGYmusLXAUNnu8CYKL5qLjMTIVKUixoybBbysxGIg4fInqnY0+Zgcn4L5hwsHCKKL0C3E3zjDDHY5F7HirZyhlMhMGCL720copB/ZVtgUp6W64dTzlUpPuzUjB7j3a/R3/p9wpOqdQ6RbCTauEuubslK4RD1tF6jopZMfh9AL04mslxsR/UXHMtcEGX3kCsKY+OamLWx1P7iSGU0lyw1V8OA6SqB2MxAbSMQW/tzNZzCcxxFD5rt1HMi8Wq468W7wqC1s9Wys25+XKMWU5bNL4EQmWMzo6zLLSUbRAsXLsSuu+4KAKivr8fq1asBAMcffzzuuuuu8o5uPZMqJqIqJOk6WuZmyLp6U5ghlqoSVLtTycjFtvTCyaa4Z27qoB/P0p/pMjMzJJtGgnUH5/HcIFUB16RT1sXfSj40rgOHEHG+ew6tsSoYQiHkDUM3zvmh5+D7ejvOPaKRrz3BFZbX58CncYD2vc2NWCkus57WaySiQ7jMqOvDka8BmWtkJct6QV9uKIxrlmcrQiToBDXZqDbPmJFQfI0h5I5js2aqZjhEcdTEjX9lOydFJN1ucAAO0WMGJcOGmtmiB+OGM9+fvPlF2A9ffiT6uzs2UyUbREOGDMEXX3wBABgxYgReeOEFAMD8+fM3+mSNXISO6TKzJTUMaCbBTdGh7qTCRbhzZ2FUGTaPGed86GM24UeWV2CiXBYkKVAI9Z3JJdtMdMVEnLj+wnmkIoPDuM1U9Kk6rUcyaKiZoUy5KvamKyBAiMw6YC5KTZ1TjEPBoXVpnXyoGtjcTlpSHCmPH5t5P1mjzKyRkgXtez6Tuq5Me1p6Wq9JC6J6iihEhArPpxZs85njCmjyRgK3EAdzkBM4RiHr8cXOTBOhHjcn8KDUZ71AnDsTqXTNG2RL9BghGPwGTm3HuhEFt5RWoyzFZ7SOE7kZA4ZD/iyoGc+XYubApJ0JimBzhpOqT13oERWBEO2999548MEHAQAnnngizj//fOy333448sgjN/r8RLZaPsH1c+WuhAiRsuBHZGndxQXoD1DO4Ghwuzdz58/diCbKxUWZmQ9dfTVXoFbvzwVa5pCfAEFLecUdGYeamco0GKPPGE6BggnyELVlLJEnzDnmFRF3LVJ6LhJtlx+1N+u2cUiSXpJDjrxjXWGOea1itaG4CJUKc5n1tF6j7h2KPEqiJoRxSS1iqvuZ64vqr7rkhdjNSJAiqgAONTMWYSU7X554hs0Qc57f1HlsFjUxxyajK+YcrLmeCJ1gurOrHefAGX+u6RSc+VLmHFiuGX3fsZGnAq3AdCOWW0qOMvvNb36DQudEzj77bPTv3x/PPfccvv71r+P0008v+wDXJwlJ1Uw1YucEVsYOLpMndnlEzhEtGoNBiOJKzdjRczyoQoCueNpcOGQi+D4oP9Jm1mMrMQTYzOiqSnB+gvNlomZB8kNzbOpinC9ECdHM/EJBTTmzJIuJrtlcYdE5tkDfng4tU7lkgnmYxl8wdbPUii25nifsVNV2kTGpfx5rZ+EVUIt4T0pP6zUZIVKQH3Lh7OyDaCcaExZE2zVfjdXdzi6wNIFYynzNlQspji+KWjL15NomIXRux0RycXpSameiIaYbPXhm+ezd8mbFxXUvzTVGQeACMkwOWSqeSwvQzzE3V+o+KaeUbBClUimkFDj/qKOOwlFHHVXWQa2vwoXds4RUk/QbLNid39cSHKLYzW8s6ubftjT9Zug4C6MbsDdXjd0cn81lZiV4OsCogcssQNQ0I0HpznRBaCUofD98GEwouE9d8ZsWxiAyo3Fii78jCqcSN6vVnS/nMvP0OdDGX/GVL4JpKlPOgNEJvmG9LMvCYZtrpXCIelqvSVFhOkIUvz6Sy0w0JjrvsYIPMRv02pb4cNn8mIERAM1xiYXwxygDwf1v3IcWvmCcGG4hkDu6pVzJ1yRqxhgcQTszB1M8R5Jls2LhEMXqtjFIkuke72q+Ii03XZqZq0EZKLc4GURz58517nC77bbr8mDWd7GH3RffS75xIO7jp8LuzQe42F/cIApuZluNqnjFdvqmtlW7Nx/OACGKucwYTpKkOLh0/sGDFYT4c6iZiZqo7dTpmoZpgBCtbs/qY4uRCkvjKXCKqCqth+druWQ6f+J5enRKfA7BPRdXuNSOy7bzNUmqwWHZdP5mf5Yw5p6QStJrFP+GNHQk1IRCkgj+IV0sVq15BrKd7VpbkW9hwaZyLlFckzhCpGwcxA1hoCvc3EO2PFxVhu4J+wvOnXlOOJ0gPCfmhittuNEDNIznMnZtrs5RZuGmy9aONsQleoQZjRYif8r56TGEaNKkSfA8L1Z4jpK8kYBvYxI+U3Xx1XTVcKTCMMpMqGUW3FxqwUeSVGhZhM1w0mrW/6zPwRq1FiBEIf+GMYgsioOCUYNx1xhKrpowiDSEyNzlqegawb8J2gUo15oYD8rtHJs7qaBfiZPheR6q08WkhjkCITIVPT+H4vvqtH7uzB1XaJhaeCC2RJ/xpG7MImncTz0hlaTXJBeXeo5CFEfgBgF0dBOHXpjHjSdwlO9rV66JmeiPMnQo448eW/G9tnEQwvNZDpH5PDlGXtkzuptz4HKY8c8J5/YrtlPnCq0vrr4by2W0JbW0ocsGoscm+nR11RK63hybetxyihPoNH/+fHz44YeYP38+7r//fjQ1NeHGG2/EnDlzMGfOHNx4443Ycsstcf/995d9gOuTsKHNJrpCwH+6v7izP6KWmUS0lJSf6ZONj634Pir4KCsObkH0jQW2nkGI4g+J7NKTEjh2CC6zHIGuRBl91fEQ57izXS2bS6mzP8tOKoaaWOD2aBdKuAyMsamLpdouJMF7keFs9gHwi5o910nn2CxpF7iFKDSc0uVXaq5SSXotTbjbqWedDKcXkCTJBaee+yy5EOvXMHZPxK51XP9ReWNEQ0e5T0kk3bj/g41DrD+jHR9irh/LypcJNhgWJMlausPgKZLuQcYlCdAGsSs3yCxk68qX4hIu2o5bquEcS+BIoJwBQl5ucUKIRo4cGf59xBFH4Fe/+hUOPPDA8LPtttsOw4cPx2WXXYZDDjmk7INcX4S7cWK5KQg0hGLPRwhRZExQu0YScWIW1+C7GIE4VBz0Yu0bcwhe2Xo0ncdtqCneYiaHyBWW5XcNkSsseGBCBCYVlS7IU8ZfMAeNa0QpmOL7mnTxOGw9NuO68tW+oc/VMDrNgryUcRIM03S/quMutqMNk+JcqTnoC4fk31fnLCXSBHhXbZgnqwcRokrSazTRuPhKGQmUoUPVPMsKLjOujIwrMd4lUlT9iUiWdjXqDP0S/Cab9/V8bY6bFc7dZENDOA6RS3033/djG5ZSNrXFdryRaI/20o01aROqzdWiE2z6z+wvKxjONoSou6JTS6YlvfHGG2hqaop93tTUhLfeeqssg1pfhQ+7L76GfA4jOkBtA0Q3Tk1V/MYh4XHqYWJuQrOdiZqwPJjQMtcRh3jYPTr7CQwi2mXG8Wq4MP6qlJTOv3MOqpIMxkfwaigOBRWya2bb5vgHwYJh3SGl9VQJcWMSWj9SzhmTy1P8fXwOoeHk6B7ksnKbiE5wn9hJ1Rx8r8+1p6Wn9Vop1e6L7fjcPAATtWQ8J+qppxEnaP3a8mtJi7p6XCpTtem65fqj0jVIeY3sebNoPeRa9oJNQmicE0qHq9/TxqR+XbUcPg6Gk90VxszV3CRxxX2ZzQ+br8joTzKcuYz+lEFcTinZIBo3bhxmzJihFT/MZDKYMWMGxo0bV9bBrW9iy/8gRlmoisPk6VgUAsX7iJGqGYub29HEUS5o7SiDgxpfmKnaTGrIIURdyHJKnhNi4aCMuuAnBeGccOVHzJ2UladlGJ1cJJcZnk9ziBDOIXRfUkZdiJqpx1EXP2hz5bJyc3Nl3YOWdt1ZoLEr0tN6jSYax8+RK0JEkX7N2nuqu4nKfxNHjemFM2UsiJS+UsdOGjokQkSFoqPzmKrxZ+/PTvjWx8giP+bG0XJfU4g7FVFHIXoSQkgbzsX3Ni5jXOe6RYVxyVptXCOuZAhft026Tzr76CaEqOSw+5tvvhkHHXQQNt988zDyYu7cufA8D3//+9/LPsD1SSILmYvQKr6nlBqdmCwIi5UtZBdCJud/Njk/dh4UPwd1rMH9SiWXBPiHRPIrqwRyCQ1R+6Oix7QFxvOQU+Da4jHROVfdIOqIkeXNOTjupGw7bnMXSvGgjDnk4ZPIH5WeoUAoU1eEyGbA8hnSZSOxp6Wn9ZqEJNifdb0P9W9KJ5jtYsR95lq717yS8wuJiA4xB5vLhMzNFEN0XFMH0PovFnxiCT6Qjb+ovUseIvP6Z6DrcJ6gzW8u5TkUX12jYiVEWzuuOT4LZaQq5aEDNJLYXRupkg2iL33pS/jwww9xxx134J133gEAHHnkkTjmmGPQq1evsg9wfRI+h0/xVSKamjXKgGjnJSE66t+qQjDzvHD+ZxM1UR8mKvmXNcrMeEhCdIUj6cb83nweouA1bhDp54E7Jya6AnQqh4JPZ7kN5qBE+1Eh667Vo9OGa42LAhFdZgQakEoByNMol3ld1e+oY7J121i43TUPi7yY9rT0tF4jOUQG9wyg0UVKJ4jITwyFKdCIk8WYcHFLUXljRLePaugQ6IqEmpGEdGMDZzMSrO5BR8TJRE2oiDq1H5Is30XjjyWQm5skK8rVeUxLHcRSEScKSaQMZ/k+QbdIyQYRAPTq1QunnXZaucey3gub68JBwZg1pdR2OuG3+KrBqJRrzbgJeXQFncfVdw1BfxH5Wm8X9GvWeYpDxrS7ieWaxNAVaO3CHRJ57uJKknQjEeeuwFwLIDKIgOIOPuB2xTgUTGLOGNGYUbrmLpRSpubYonYFUsEE7dSIDMn4C+u2GQgRZ2DbFkkr8lchBhHQs3pNUv40h0g2JiguoBzJxesYaw0t4xlmS3II5FvnPEQkamJHV8Jj2spZWMovxQwY1zxEzOIvbpKp6+8QjcZuajkEmtNX5eJfMa41PjFn8VWKvFMTN5ZTutTrH//4R+y2224YNmwYPvroIwDAtddei7/97W9lHdz6Jpy7KbjWJvJjh4yLrxKBDgDNIXKEoM3oMTNDaCCmQgi6tT0kIbpiC9n14sek5iERLSnXgn3h4M+d6TIDmKzhMYRI3jXa3I1mnbocEWWmXtfwWvjqdQ2+I4xENcrMMJw4hIjNOWJer7xjuwo0iHpSr7nmIRL5gipCJN3XFiTJNUzaJQ8XRSCWXGEUD4rUa+qGQEDDSnUjWZFPC7oSMyYElEsdF7WZNjlaanvdtQpyDup4tP5i54TRzcb1iiUcjgWBWPIQCXqSMpxFg7hSosxuuukmXHDBBTjggAOwYsWKMGHZJptsgl/+8pddHshPfvITeJ6H8847L/xszz337CS+Rv/OOOMM7XcLFy7EtGnT0NDQgEGDBuGiiy5CLqeXWHjqqacwefJk1NbWYvTo0Zg1a1aXxymJze0jkc+CPz1tAYsjRM5RFsLuUjouS742Fk4zzb/ZXzxCy/aQxOfg+75gTBCQsfKMUIT0MNRVaRicRh010dupBhGVNTwyEmWlGxo6zH0SQ4gIY8J0hantbW6UEEn049fVRIhMDhHnWuDdg27tejLsXpXu0muuQqIrYpSZZZMULmLE/UohRFQ2aMLQ0QoIM9eaWtQ9L65jXPhNsXMioWYCD4rVzZweinEo9XZsskqTaC4Yf4Abr9TVSDT7ih3XQKqtCTdjpHo3NzpHSO9q5B3lHuwmgKh0g+jXv/41fvvb3+IHP/gBqqoij9uOO+6IN954o0uDePnll3HLLbeQ6fFPPfVULF68OPx3zTXXhN/l83lMmzYNmUwGzz33HG6//XbMmjULl19+edhm/vz5mDZtGvbaay+89tprOO+883DKKafgscce69JYJeF2IfEbArF2JJxNLLCS8qNv/lSsnR7JQN/UgIlMGAtiyC3SphojENcosKe0YNPIT9Sv7GuHNia1HaV0afI1r4jSqSiSiyq06wotm+RrU/mZBpvIFyDmQBu6UbvgVpBI1SxCZJClS03qVukIUXfotVKklJw7xe94NASQI750Y4J335tGAkCTg+WEi4iNzd3448nXKWJDSLn9nPMQ2ZAkVl/JeYgk12VKMRIpJFU0YEVET8kvJVxXG8plLUkU68/2rEObK3VdVcOZctVSgEA5pWSDaP78+dh+++1jn9fW1mLNmjUlD6ClpQXHHnssfvvb32KTTTaJfd/Q0IAhQ4aE/xobG8Pv/vnPf+Ktt97Cn/70J0yaNAkHHHAArrrqKtxwww1h+OzNN9+MpqYmzJw5E+PGjcM555yDww8/HNdee23JY7VJkF/B96OLrSbhiix4ihtE7JCojNaGiwsAySGKHqaonZTrgtpdkLCsjRsiuJukmmyBAqfOiXo8iUBJljjoAmpCLURUGZWY4rBUlJfcgyTRkkxgpo9bbW91txgEebWdDSGKJWsLjmnNXsy0C1GzyjCIyq3XShVxU0OSaqmFDko7gsxL3Neiuykw4A1eYaydRIKl3NlEor9gnJShb0OIpOOa0WO+T+sYW2FUMyrSlX9DZbSW6Ax2F6fAlyICKCS3JDsHji/FGZOGocNtkqS0MwVjfQHofEXUPVxOKdkgampqwmuvvRb7/NFHH+1Svo6zzz4b06ZNw7777kt+f8cdd2DAgAHYdtttcckll6C1tTX87vnnn8eECRMwePDg8LOpU6eiubkZb775ZtjG7Hvq1Kl4/vnn2TF1dHSgublZ++ciWir8zgVA5RxL5DMyMZlElnZcEFWEiHLBmKgElxDLNxRMcENyiRTNRb14XH5XI3GDtP6EKBvK124jVYuGk3ItwtD7HLVw8Dtkda5mUkOOaxH0QycwC3ZSsqFjFrJV5y0ZiWyUmbHo8sgPtP5cE931tJRLr62t7tB4FeTCGXfpkIYOiSR09mFzmUmoMbk4mXNw01fO7kEK0daMBOLciXqIMpz4sVH9UegKVaaEymhNbVZoQ7dzTMS5yxIuTvOZU49Fz8EyV2Oz2pVweml8lAfC9d7sLmS55CizCy64AGeffTba29vh+z5eeukl3HXXXZgxYwZuvfXWkvq6++678d///hcvv/wy+f0xxxyDkSNHYtiwYZg7dy4uvvhivPvuu3jggQcAAEuWLNGMIQDh+yVLlohtmpub0dbWhvr6+thxZ8yYgR/96EclzQWILGQgunl0f7FuTEhcDvXvwHfveZ6oEFRXWM5YwAAZIVIX2Kq0h1zBZ7kAxbnovw/EJPNqGZLFHVxccagPoFsopu1hQrxdGIERzYEiaVPRcvH8H3SknEuyQm2uhsKyES1T5AJTfNVdZnHDyTwntc55iJjQXqP8iDW0t0I4ROXSa13VHa73q7SZolxmUgI/tT/ZZaYYE52DokmwcVTKjE7UjykbCTTyox9TbUcZCWQeNoe5xrI8OyBJ6i0uIUlyRB1PU1D7k4zOVMpDyiuOh84G3rnhYrlB0I5LuWnVMYS8Kks7l8TE1KaW5BB1k94o2SA65ZRTUF9fj0svvRStra045phjMGzYMFx33XU46qijnPv5+OOPce6552L27Nmoq6sj26ghsBMmTMDQoUOxzz77YN68edhyyy1LHbqzXHLJJbjgggvC983NzRg+fLj1d6TiIMIJJXIz9ZAE36c9eiGhMilHD3qcQ2TL61CdSqEdBXKBNQ0dji9D19/hHwBpbGo7Gr3S+9DGRyJE0XjDh10wEoAo47ZunARj4w0ddayhkeDoHqSUrm8oNbU9Rb6nI+r4sdVVd5ZaYVxmduQHZDueV1UZBlG59Nra6g4avYvaSeRbZySJ4N+oEUSc2xOgN3rxBZF6zuOLOnVMDSFyzN4t86AQa6/WQeT0lc2Al8jten/xDUFYs1B1Dwm8Gur6u+SXyuQLxvj0PmyJZCO+IB0Yw2XvjkWjGdfWpZAtIBv13YUsdykP0bHHHotjjz0Wra2taGlpwaBBg0ru49VXX8WyZcswefLk8LN8Po///Oc/uP7669HR0YF0Z1HNQHbeeWcAwAcffIAtt9wSQ4YMwUsvvaS1Wbp0KQBgyJAh4WvwmdqmsbGRRIeAIm+gtra25DlR/BvKZaa6Lkzkh4oeCtqmU16MLAjQ7hwZIYramYgOQMO8piKK0AboyQqNG1vNfySVx5CUmvq9tGvoSuQVlQJBNDqJYpnx3Dwy0dKmTMXdpbBDps6dqjdcSsH0CorxGrXnYsrPlq/FJEZaCJmVIOXQa13XHQKplnIjEagJWbrDcv9TrjrzuFQOM3rxjz+bpNsvHTfWJEPHGp5PLZwmosMRjY37lU1qyG3gCERH/Z6K5KKQH5EvZQkWYd2SeVn/WeuxCRszsV0XyNe04UzdJ4jNtZzSJYMIAJYtW4Z3330XQPGBGThwYEm/32effWLRGyeeeCK23nprXHzxxTFjCEDo4x86dCgAYMqUKfjxj3+MZcuWhcpr9uzZaGxsxPjx48M2//jHP7R+Zs+ejSlTppQ0XhcJ+De5gh8qBU1xEPCthPzoCJG+M1PbBbwPDSEKo4KoKDMZSaB2BGZ5DBOCNknR5q4mX/BpZW+4EbmMrsHhRENHeUZkI0E5x51/q+HEBeLhpFwaYcV2C2piEjIpwymq/q4qmGDHFTfCtEg50tBBfK5BlBlJIC++D4rxrsnoqSviCww9V64dF7LbXeGzXZW11WtdldLzEMnZmyVDx3ZfU4aY+Qyr91CVsHC68mWkdrYUG5RxYupJtb20EKuLNbXRi3KEyTzAuItfnYM+bn2uFiNBikazGc7GOWYNHQc0DIh7NSIjXN1w+zFdJHKIrMZ//JyUU0o2iFavXo2zzjoLd911FwoB9JdO48gjj8QNN9yAvn37OvXTp08fbLvtttpnvXr1Qv/+/bHtttti3rx5uPPOO3HggQeif//+mDt3Ls4//3x85StfCcPzv/rVr2L8+PE4/vjjcc0112DJkiW49NJLcfbZZ4e7tDPOOAPXX389vve97+Gkk07CE088gXvuuQcPP/xwqVN3koB/EygYVXEEz7peeb6AdCot3tTFdp39Ee2CCKgOgkNEGTrkbkW5v6qJXX2cLK3zpTptMpqTlNKzS1PkQ2nnk/KUHCbSjsuykzJdXOrfFFStnpOgP4p/Y8vK7BKKHvxGNWCp3SW1Q6bcfiSBnCBfm4qoV21RJbRnCyEqqfYtGXXqWF1LJqgu3Z6Ucum1rgoV7SUtEq41z8hn2PacELqjuvMZDhYxaqMno1zRXKl7RypJRBaoVdpR0U1Upv5gs0rpBHPxL44puo/NeUjuHCDu4rclF6T4gs5EY0Kvycif0RdbVsc8phs3iOVVGYYz6c4jOWSU8Y9ukZK7PeWUU/Diiy/i4YcfxsqVK7Fy5Uo89NBDeOWVV3D66aeXbWA1NTX417/+ha9+9avYeuut8d3vfheHHXaYVmgxnU7joYceQjqdxpQpU3DcccfhW9/6Fq688sqwTVNTEx5++GHMnj0bEydOxMyZM3Hrrbdi6tSpZRurKtWGUqBuCIpoTJJlqXaE8pM5RFF/9EMcP1b4cAquNTbyxFAw6t/UOZGIdiZvpfg3ZdR19mUxdHwKSaK4RsRxqaSLsZo/HARtKHuK3xGGHWsLRxypo/hSkiuMup+kxS9AiACgVUGJSs4vlE5p7VgOUYWQqteVXuPEGSGSCqMS7Vxz/WSJ56mKME6ijRli34k8KCtCpPcFRJsu27NOLcTSxkEynOJco2B8en/SBk6dr3wdwo+Y6x+fKx09SOg1yTgN59CZ/sU3+Iwx8rXsRiyVCiBF2dJGnWzUl1NKRogeeughPPbYY9htt93Cz6ZOnYrf/va32H///ddqME899VT49/Dhw/Hvf//b+puRI0fGXGKm7LnnnpgzZ85ajc1VQqMjDLundlJxQ8cMa+faUanra0MOUcT7iIwJJeye2Jn5xMIpEfysCRwpI8bYrWi+diPigUoa6Q4FI9aOdA+RhOTotxJPgcxh0tkuICTHsjzn7YqDcnGGOUyIXaMZFWjOVSJVy8VdU2GESlsmjz511Z3tiu1NsmiML2DC7ZbSHRUCEHWrXnMRcgEL7wn5/qc2PyS6SKHGDhyiYjtdJ+SJZ9iVGyIZMFbDSWqn6Q79WEG7DkBMWeCe1JDXV+r30nXQCcT89bemWBGi0cgM5KTx56PG6Fvi/AAE0Tws3UHzquKomYyGSYVxKyYPUf/+/Un4uG/fvmRixY1NQt5H50XUoeXiK2noEJFN6jUP2pEuMwIhkqBqW1JDqq6OewJH/uEMutMJmcVXypiQIGMK+aHcQ2SkHIWu+EQ7a3/6tWjodDe1GoRkNlmhBQ0TyaLKvRGOjSAf2qLMzHPseV5IrF6T4a+FPVM1tHYxNyKBVvSk9LRecwl/BxgDRjB+9WdY/07927bomO0oUrUcKUcsdJa5ksRlwVhz7S9LnDvTqDP7cym/RGZbpgwnwYCxXn/B6LTmeiroBrZZyDtsx5KvuVQE/BwoI1EynG28KopAXk4p2SC69NJLccEFF4R5foBirp+LLroIl112WVkHtz5KlJk0QEOi78KHxNEVFkR3aO0I5ScbRCpCRCkOxPojDSfjhvU8T4ygkHzBVDRGPRHuLXIjurALlcLuqdIddkhbPye9Ot1NrTFCcmcfabtC0N0U8R0S5TKjkB9qrsHfNli+obaTWN2RU9rRu0tb3T6uHZWfpielp/UaxZcRXSYWErSU0ZjMaG1ZdEy9xhGvi2MjkBobykE8w64cOhENIVAY2ujQ+4r1Z6aToMpKEHN1NXQkxClF6IQuGc7MM1ycB+8etCJEkqFDeEjE60ps4EkDtpv0Rskus5tuugkffPABRowYgREjRgAoFlitra3FZ599hltuuSVs+9///rd8I11PxESIyIzBqShxVoj8EIZE8Lt8wQ9vBAkhIrMo23YNhOKg80Qg1i6d8pDN+yKSBMR3UxQhs55AiCSlqxMy6bHF5kD0R5KqCUUktgvmEEZomYVR9bwjZBLKfHxsZAZewmUWRZlBaQdtbGrfZIFOpV0RIerQkC4+kaauJDleAdeukoq79qReoyOq4vlqXMPzaQNLMCZsi5NhANCuKzduSLVASLbxYLgoVpd2LoZTKuXB84obD4rgXiXc11w+oNhcCYNT6k89J9UGJYM7roT8mRyiWDvjfrJyiAyuEbWRVvsTryvpzpXv9XJKyQbRIYcc0g3D2HDEhBejhUlvl055KOSjMFZKcQDKYpfn25Fh98EOPE3dYBYDRuDzaIqNSOBIGxPFV4mQGRgTbcQiTJI7CbefLew+TxoT+nfF/jrHTSksKUKr09XU2iGHrLtCxtEOiVrU4nOlFDjl9rMRyGsJtC4WeeKYX4grDEkdtyelp/WatLu2oiaiu8GWEyjQLxHnMUQhBWMnSk2hzMGxGCe5qZHcQ10o3SEhSbZNUnVnUkPNpZ3XU2yQLkliUafyddH13Up0I1oRPTuSlNaMP95wpoxrrZ2AGlOkatfrSnGIutvVXrJB9MMf/rA7xrHBiGnVUoswEKErMbK04cQ0F2IqKqyWcJnRYfeUMdHZH6WILO4mk0Cu9kdxBiRCZsQh4qFbdWy0K8zWTj+m+hsyaaRFiZvj69Xpamo1y174+phCwje1GyTcHuT5tZClS44yIxBHqZAtpXDV9xKBnJtvT0pP6zV6N1x8pctU2Aipbka3WXyU4nyof5scIucQfstC55xwUXg2KTSMMv5sWZ7TKQ/I03rSRFdcDVPdcNL7Un+Tt50TCUmybaaYjZ66Dqnt4iivmXBWnweZrkUjVXf253hdxci7SokyU6WlpSXM2RGIWo1+YxQzjJUjgZnJ9ChiMKC6avSoNa3waJCHKBff0VOcFGrXQOUrsu/0+HaS+4oiZFIcIrHmD2HoWMnSBLpC1ZULU+uTrrrot6biaAgRIrPsRZB0MdhJUTB6sY0toogkkBNjo1AuyXDSohaJum0ulc31/uR23Q19r430hF6jkDQyeszRLZWm3Bfkwqnfi9QCBsTDvUU3TUHJwE9s9GQXl2VTQ7bj86vZ2lFGpwtfUF3UzblS6K3dteZ2Tmjdgc7jxo1JGwpH0h6M+84WKSq7wqC1Ueeat7SjOETdjSyXTKqeP38+pk2bhl69eoURGJtssgn69euXRJkh7uMN9It5/cIHJUB+GMuXi9Aid/RUYsYyIz8q0iUlcNT6Mx4ASllRNbRMQ6LYl7AgEHMg63upDx2JmiA2vqgdrzgCl1kmXzDcl3p/FBpAcYgkzoNHnt/42GyGk3w/US4zfg5A/L6jFLP6u0rJQ9TTes2Vk0K71jq/I0nQxKIuLP6aO1tAayQDBoj0RZRyQgnukFIC2BZ/iVQtuH3UsVqNDocaWtRcpaSREpFbH5vNjUQYE5LRaY0AlvSpPlcuv5oUZSjlyJKK8QLKfUIUC64YhOi4446D7/v4/e9/j8GDB8dcQRu7mKRqCjFR25moiWn5mmRe6garCyuUx3f0VcSDTrmRzMzSgBxlVpyDmwVvKiJKMdfXBHOIh3qrPChKqZHEdSJMXgpPVjbG4hxIY6KzvyA6CyhGmtVU1WjHDc6rxCGq0haOYEFwI5BThq562wWnUctDRNxPpMvMOC6lwIE4MkkpZjVTeaUgRD2t11y5IWRGa/F+tWySjE0NVbS1+Leed0pyXQXjS6fSDFmaWPwpo44iEFObFcd2otHpyjUy7n+g6A7T5mozYAXD1GbouvI7XY0TMlqOiR4zNz/mOaHGRnHNpA0cheiRrrVuyl9WskH0+uuv49VXX8VWW23VHeNZ74WDlk39auaO4aLM4ju4+I3Tu7aYPK+lXQmTzvMPCck/0JSk5AqLxlbtyAUwlXOeeEhChEglVQtwtp4gsfhKGXXqQ0yFrMulO+QFhqriXFedQnu2gNXtOfRrqIHv+zGFRY3NZbEqzoHahfKGLlm6w7JDriFcZmym6q7sGpW/K8Ug6mm9RkaZCW4f686fDAuXFmL92QRkFEZCG9TvRVeYZcPliuiY1QEAmQfonK+Iqo0W3tfxuYpRfLY8RM4Fb/nniUxqaEGmXPqjjHB9HtDGaR2bQzFerr+Kc5nttNNO+Pjjj7tjLBuEmKGH1AIGKAu7bzxMxhUxuTBUbpLG+qJd29yeDT8LHuYaAl2hOUTqHKgdHH/DUgiGRMiklFXAIdJCvYWHxKb8pDB5CjWhI6+Udo4Pe7/6Iiq0sjXbOTb1WPqOq0tZiSnkhyrGSygOii9F3U9kGgfjWoSRjbFkbeZc44pZ/btSDKKe1msSkmBNJyGEwJNh14JbigqTLvanP+sSMVjtz7WERqkEYro/V9SEMnSgtItH1JmbKRW1NqNnbSiHbJja5ioYf6RBLEfeScafmb274Edjp6IRpWSV7ugVYu2y1HWtFJfZrbfeijPOOAOffvoptt12W1RXV2vfB4VXN1YxbzBqp662i+p7MYaTwcGgYM/GzvIKzW2RQRQsVMHiBnA7qfj46AU23q5KyDtBKba48Re16VNXvBVXK0adtLuwpQ4ga5QJu0aplo/azhYW3be+Gkua27Gq81poaEjaRE2UB53kELkRKKsFRa/NgeRLxXPdUJw0874LjaasbhBxSBKFhgHRBqKnpaf1mjsxOFgkqN01Yu101xo621HPk27AADQnLx4VGx8bgFiaEDu5mTBM0pKhH5+rK6/GmpuJybkEKIa+0t48JzS5WdYbklFH1aOUOD9af5bIO/K+M9qZhm5NyiNRXncKhdsGLkoJIT8T5ZSSDaLPPvsM8+bNw4knnhh+5nlexLTP54Vfb/hiui+oRHpA3AXDcY3MpHvUjdNYX1TeqxWXWeDuUBccmkMURxyoBZYyJiQkSYoqoW7qvp3IyuqOHAoFH6mUx+xoedSEVPQWY0308avHDdxNJJIUtQvzKXVyoTTFYaImBFmwipgDWfOHhPjlBSY0/igOEeWCExYiqn5ecR46EZ7aqarzqRSEqKf1mqsbQSrdYXMPSaHN4QZOQYw9YpNkht1raR1S8bw20v3q6rqy5hciNmZhsWRLQIZ8XD/WPpivmlzXdDeS2ZapGo0Ww0kuZ+JmOFsNbIlA3jk+qsQHGU4fHFNIV6DPVb6u1Aa+u4MxSjaITjrpJGy//fa46667ElI1IWbYPRUBBRBkRibKzNw5UDdOY4CudOSQL/hIp7zwAVQNItoFox9HHVuWeOio6CY6yoxXRBQ3qG+nUef7Rddfv4Ya5xBbug5c50NHLP5kQjRHo8MGaZuGAkVSDS6JFNarzjVLcIj03bsbukBHmSE2BxdCeuAyU91qxeMGYzKUJIMQVUrpjp7Wa1LOFZsrzDW6SUKSJOSHaidxHrX8ahSiSUVZCsiya80rmnxb+jMccw8yRPOqzgSOJhVAC4wQDBMtaa4jH9MsoaL27Urmtmf017/TCOSFAuqRJqMRzbVPO6btejmOjdLh5ZSSDaKPPvoIDz74IEaPHt0d41nvxdzVU35lIH5TcGSxyKUDo13UJqhIDhSJ1X0bqkmXWbS7oNxN8o6LjtqIW/AScTm+u4za1FSlUJ0uKtPWTB79Guh21INO8bSkxIzqKabCk6kQeMq1Rl3bIMtz4EqioGWaV1OIz4GsR1R8paMCZV970DWZh8iVaNn5XW11nHhNHZecaz5YOLyK2VD1tF5TlX+ASonh1I4umDDalUAqi+2MPETEfQPE+RzUsxkcN5v3Fa6RtFg7bkKsuZSIjZ6Iwlii1hxKDQX9ZfLxdtRmxZo3iDRMqLm69kehYfG5SrqDKvFhRhmq/ZEol4ReWmo00m7f7kWISnbg77333nj99de7YywbhJikasrKB9TdP4/8AARCxBgTASk5IFZnc8V2NQRCRN2w2kNM3IhUQkAxBJR62H15d1lXpdczy4U3f9RGIjer3VGkalpJEv5sVxcE0V+tQUimXGbOcDaJ6PGKntqZkW4/yw4uXBBIw6nYLkoGyuQXMmF05ZjB/aLukHtaelqvuUYtkRGFFJLEcA8BxugODad4G70/YwPH6DVJ/7nkvinO1bUdYegIZF5XdxOVvZssIyRsakst7mojQZNUAGpT4+AKK45PyPWkRI8FP6HOSSwVB2VcWVF+Qg+Ree4Qa1dOKRkhOuigg3D++efjjTfewIQJE2Lkw69//etlG9z6KNxOylQwHNfI5JiavA+KBwAUI83asnmsastiOCJCrMYhEiIePMeHhCI9kjAv8bCbit48J7XVaazuyIWLLAVB07vGzu8EI0ztT6+DpBum6vioOZDka+WcxFxmquIwIGjNZaCgJuEciPPrE8eki/HG7xM6ykzaSfMLUYAQmRwisz/qekV8qcogVAM9r9fSinGYK/ioStOuFZGTQqG3BioL0EZC1jCc4kWmaUOHQ7RjOccYcnM8o7XFSBBQE5KkS6BhroRkkxhuHtcMjrAFY8QzWsefOQr5WRtXmNU4ceQuBa5QE/lT25GcH0JfSRFwWiFbIWqtYvIQnXHGGQCAK6+8MvZdQqqOL2IUAgPwkDaLEBntTEXUWFeNpc0dIUIUkarl3aUZOqm201xrpOHEP0xS+Dj1kABqgkndmLAm9SIUTMpQasXfINaOrh5dfO1KDhOTW2NWydbnQBgmymQlvoBHjE3PL4V4OwIhcnZVGMqZ4xDF87VQxl/lIUQ9rde0CK3Oc+VKDHaJitR4MAJPg3OFxbhGFtdafKMXv/+L3xcXQRe9ofZrW9SlKDjXkiFULjmKaJ41DCeNy2Ugf1VpjzESCW6YSAWgAlkscxUj7+wk/WzeJxN4Bocli/tSG66SUTNqfekei6hkg8is8ZOILqZPllUwRhZi1idvRDdxrrUobD2n9UeiK865KdxQGDXMkiJHRsaJGcmizyFAV4KM2858AdHtF0dXqJwjWdvDKZC0qZD1gENEJVykrgMVZSZdBzrsnlo4orlK7kaaz8DfJ6ZrMByfce7SxD2SzXevUuuK9LReU+81CYWRotGqhM0Ph3JUGxwXNv2HcR25dqyLX9UvGhrWmeWZTAlAIdCdfQiRcsXjxvuTKs9Lmx/KJQlIKD83Vx350w2n0p5Nq75yRMOkzZmGpKdSaEch5jJNKUaia1+UXpNRM3m9KqdUjkbaQISt+WN5mKgHHVAXMWivpiKKqsUXd7JUtXOJu6JFjwkuGMrHb6JX5vg4n3yMQxTModMNQ++QdQNRn6tFIZBz0A1Y9TekMrVkCDZTEcjkTnnnK7vCwo9kl4GjMekKy4ccIqW8h08ZiSn7XKsrCCHqaVHvD/HeEVwhUsI91d6TXCss8mPc/xyXg0OSOIQoZkysBZJg5QtK7ibBBc1FNsXdg8XPKX2lt+Ovly0PUVC0l9RDXYrQ42kUVNknE+Xn+FK+sIGX67tR9ybVDt0iTgjRr371K5x22mmoq6vDr371K7Htd77znbIMbH2V+I6r+Hl8J6UvYrYoMylqA4iMiQ4DXbEmXAwQB2K3QkWBUL5gkxgO0DuuoA/qmNQcyHpsZOkCxOZKzyHejkoxQO4aCYSIVro0jE7OwdEVoO58fWEO1nwtIpJEzFWA22uV6MVMvhC60EzlTF2vAGUw7+F1LZWk19S8NtJCTJbVcTCmWVI1a8Do42O5QcYlNMdHc34EI8GCpNKbEDfuSmQ4lRbdxhPI9f5scxWTVUo1xSyGjjQHWy45MXEkeVzecFYR31zBR3XaEzOaW68rsamlEPdyipNBdO211+LYY49FXV0drr32Wrad53kbvUFkwrccxBcu2I5RZjaXWci/yQUIkf57dWw6h4hY/Kk8RITRwfEPABqZisHyzBwCoq5r1AYZdi9m0VbHprsu9ePG52DjKZiIE1mjzNUwoXZ5IaJHoQbyIikRNymXhkTcDAwgoOg2Mw0iiUNEGYk9IZWm18K8NgK6LJc9iN87WQP5AfT7n+MacdFjknuIGh+dDJIP46YTv7rNleI8uiJE0jmm3Nnqcc1C3lRfxX4KbDt6o8cbiXkKSSKRb7f+9IKs+nfFeZjegHgbzT2Y91GdZox6Uq8hNgcRqe4ml5mTQTR//nzy70TiEiNVM4hOzLVmIV/H+9PbmSHr0QLGH5NrR1nmtN+b5h+Y7WKVshkrPzYHB7Ko2p/m9nPcSQWunyBNgfobleBMh/Hr3wH8dXU1dJxdZkS0X5boj8ovRRf3VfoLjHDBYKtOR1mJ27P5sHyM2Y6aK5XnqSek0vRaOuUBecKYsLgR5OCDuH7xvPg9JuUIU/uL5SHqQhCI2nU8ZF3ti9/UdGWzYvbn+z6JVnNomHlOYigccR08z0M6VSRSR+3ixxRTcdiMOnIOBJIYGB2W41I50WKbXyfjLy3WhXTfwMmIXjkl4RCVWUxXjZVUbRCNYy4zR1J1bcgh4l1mdIRW8VVDHKj8QiTXSNqFqg9T8TXuf9amEIZytxtJDW0RJeGDbptDaDjFz0mWfOgQa0eWvSBdZnYYneZoIdbO5jIj87AQO7hqQhHRfAZKmepz9TwPfWp1Ir/WTjGczLF1t1JbXyXOtSt+Thvc8vl0cV2p72PohdnOzFcUuLPTdH/S4u95Hkv6di0CSiaSpTZ6AjKhNBdzONkJ5G7nOFvQz11XKsBLyLdrclUpD5FmJAoEZ+n8qt/T6FWJkZIWfVVOSQyiMouZ6I/KrwC4KT/A/aEz89/QdbviO6RAdDeSF2tHh+fTOyS1j+LfBtzOwJ51YSi3jnLR6Iocdi9lqra51qiHzsy2rbXTCJl6O0ohUHMgDR0hUoQOuycMGGKuWYJrZNs1UgpwQO9aAMDylkysnUu1exWBS0QxOkRSdfGcFfzoe8nt45qB2jRgOL5M0B8V8AAQCyfjgotFo4lGAuXOJuZqyUMUS1apbuAIdMXkAfLnztz86Pd1GEEmoHBkZCfpunIzdGSSttIuFikXjVs6xxLyDcTXP1u1AYq75lrwuJySaKQyixkFwrrMzIfOojgKBf5G1I5r3NjSw8Te/AwxHJDD89Ubl0REfF4hAHGUi46KoAwdfidFGQnqYckCtdJxA2K4OlfKLSUQLcO+CAVOI3WUQlDmIBStpBA9auGgM/DGkUR1Hv17FwvyLm/pAEC7IORIISSiiEu+LpOQbHP75MM2jN5gkKT4xowmaXPBIrHND6P/pHa0e4g3Jugi03x/fI0y00ik79eY/mM2vzHjj3QjEciPmBKg9E2N5IKjUH7KEI8hekobz/Pia4xorDsauqThlBhE64WY0CdLquZ2g44IUXxnZnABCBeXCd2qNz9J0iWKG5LwvUEM9zw5gSNH3Kwx3Fwi+ZDcIUV9kQ8diSTxhpOW5dmIvFKjdqhijlIuGYlDZJ+DPh61P1tytZDz5ZiV27YL7d+riBB9viYTax+MneQQJQgRKXHiKnENjcrjnNvHTAjIkVHZnT+LEPHold5O1n8xvUbe11SIeXyudGoH/ThUf/ziTxtOsbmmHY0/LteTI+HbyjUi0TCJpK2MjSHLm+24tYOPRjSChYjNqnZdKZcZuVlFrF05JdFIZZaYYWIxdMwIBU5xxCBtBiEK2tGRV7oBo938ApLARajESNUM3G76gnn3oN4fFaFVTXCDQnceMVfbok7156KIdLg9mkMUAiwhRBQUTM0hrjgoV6hz+n3H0F4Z0o7abWogRHnCcK7kKLNKE464SpXuAIoopLaoq+2MhIAUiqr2Z0OIYjrB0l/cSNDnGjPEBIQga0ES6HQidsQhzyz+pmstNOAN6Kdk409ymYlJI4m+nFGzEs8Jg/LHNvCMkciR9K2pAySEyIKQl1Ocoszmzp3r3OF2223X5cFsCGKSqjmoOrZwWqLMohw+9I3IwbLqw1kTupGKbRR9wKAm8XZSFIBdScq8Aq6ApLpw1hqZoNX2VD02m+FkPsAAbZzEFD0HtxtuLgq9orI8k8VzqQWBaEfNQUqIZgvFdYXbGzpdnG1BMlAl+Z9Zyyxw3XieRyrJnpBK02umwSqV7gCKhnI+JaMcQX/sRoopAssZMDYeIMtdYg0xgaRbYo4cV16NOQdzHqbRwc3V1GscQmRmoZazY8vGH6mviPGJmxoKhSFLchD9WaIRY+dORMhtedN4DmV3IUROBtGkSZPgeZ5GwlUl+C6pZUaQqhmILwbLckiSxyywMQPL2HH58eNGBTnjCBG9G5AfEnaXZ4HHeV6B+dAhNleqhha1WFN12yLDSTmmhBBR8D2FEBHnpGDMVV3IqMKodMZwaocUHDNqF8HZMiGTbBcYf8LCof6t7qTVbNWAruCCPswq7lVpupBnT0il6TXO6DavoecVjftcwbcmXASKiDCHVLu46Yq/Ky1qzbr5KclIsCAJpZKvLWgIy5dh9JVNN5uuH3psOlk+lfLI/pw5RGTkqbT50cfGjc+1xEtk6II9pq2QrWuNunJKyXmIEpGFLd3APSQWN1J1Fe3jjSNJ0Q2r3tQ6MkFnggZMrpGe16bAGUSG8Zdjla6n9WNTMJIyrTUKwKr9pqg5WGF0npOkE4317zQ0hIDvg7FTbr8gmi6bL3I70imPDnVVxhYszFG1e9n4Kzkax3JOpBxOgUFElYegajkF17enDaJK02tcNmDqeQoqj+cLkcFJGb/F/ngOkbPLzBxbcL9aNjVW/Se41gKXvO8jfE4oBEsiX1NoiKlfTM5jnN/EGHWxbOCg28WMyeLnlKETtKtJec7lTKT+SOSb0TFmv5JxykYjmhvz8L5T20TXNTD+JCTJ5jItpzgZRCNHjuyWg2+IwkWPxTNVG3mIOJ9suAuRXXDqg8IhP2Zovk8sYADBNWIMLFcFbkZQ8NEYJicp3h+NEHWOzbZrJN1I+ly5eZiGDl+mRO+DUuCBUVecRx4NNVWkUWfm9VArZZMGrKvLzLJrlBAispBtLm5gB2M3XTfFvvTj9JRUml7jUEgK1cnm88jlfXYBCyJ+AmOI21m7Bjy4LHTkHBj9F0NhBFItULxni0Vg4+3CvhyTVdo4j3H3YDA3zki0GH+mkSgg2upxZYSI2NQ4uhElFIbiAerteBdn8bj2aETK+KOva+cx12EeopKr3Qfy1ltvYeHChchkMtrnX//619d6UOuzRDc/H2IJxPkCHOkxWMQyjsUXs/kCe1MHxkSGcJlJ+W+UZ0qEoF3T+VuzdwuIUx2BEJFkaSkVPoFyZWwRD6ahU6DPsRmNRikrrexFtoCGGpksDUToCrXLizgK8Z2UZmA51m1zjXgJOGnB/USdE/XaRdE9lYEQUdKTeo0j6Zrkc/V54u5DoHh+cwW/qBMsz1wUdk33xbm4eCRJNn45Tgrn9pN0B4kkkAsxszFjxmYrvxRuHCztuIAMHiEqAEiTiBPJqwmvBWLtyOz11LkTSnKoc5DKlAAEr1QwdIJ2NUiR66SEVHdXQEbJBtGHH36Ib3zjG3jjjTc0CD+AHDd2DpHpvrCSqgXyLRC5zKQaMoD+0HFkaZNDpHODot/EFIJyQ3qEMWGrlJ0ylaRjKC517kQOEREmSqWuV+dKIURSJIvtuproCmXUpVPFTL3ZvB+rPUeVVVD7oYv26osLNz4q7F5KrU9lNNfdl7SBzXJZDF5BJRlElaDXogXW115jz4my6EgRe9XpFDpyBc1w4jhEscg2DuU10StmbNbND2MkUK5b7bgC8mlDNGPHZErIxMdWvGHNrNwcJ4nf/PJUAJNrB8h8qSzl9iYjT4lnnTwnMueLQy9ZUrWQwNHc6GntLNGzFAWhnFJy8Nq5556LpqYmLFu2DA0NDXjzzTfxn//8BzvuuCOeeuqpbhji+iVxUrW8+Ae7GlsYo323Eh2Xg9GDHb1JqjZ96GZRRSqEX2sX2+VpzdwRIvPhJM4dhRC5usJII0GolK0ZCR6j/Mzr0Pk+jApk5mryuSSjTp0H6Voj54DOdnEFQ+c/kg0sasGqNdDLHHFOglpOah8hQtTDUWaqVIJe4xAilgituMKoBULd/dtI0Dnz2rDIj8yNjGW0tqHBrkiCwbWkECKy/ATZzhbtynB+rO24c8wQ15VnXf2JRNImM1pLkVwU8i2gMCGybOhwc01wjUak56BHSqrtJC6X2q5Hi7uq8vzzz+OJJ57AgAEDkEqlkEqlsNtuu2HGjBn4zne+gzlz5nTHONcb4WqZue6QTMVmJiu0Qd/5gu4yU+8bM7opaOaa5NHUuSYsa0sJ4Bq1Ie24VIQoIBoHusH2MJEZrQ00TBsf0Z9ZLsFUHCwhM2YQpdDSgRAhoq4Fxb+h5uCKcsl1kOLHpeq2aS6zGKmaPyf5gh+/riYBpQelEvRabMG2GR35KICCQogo11p8w2U+m/pYwr5KzkMkb/Q4xFWdRyqlRtTZUciAfK1GDVYRz4krymEu1s46nOGBSsT1oL6bary6Rt7JhlNkJAanRUJhrOR7swIDww2LJXBU2mnGX3hd9eOoc7BtasspJSNE+Xweffr0AQAMGDAAixYtAlAkKL777rvlHd16KLFq9xbkR9r5qP1lckZ/jGWeK/gaWZpyNwUPHRexFs9Ujc52vBEWHBtwMHSIBxMA0kxtNDWjsU5I5pUunXMnPg8xr4ewC7UZf7E6U8Y5qaumESLPQFfimYTjc4jQRllJmsY6IPMKbDsz0yCK3Df6zWkqZwpJ6mmpBL3GLk4CqiOdSxWFsRkw0YaLRu84lJfjN7lHrbm1k4wO3QXDcyhjQRvW0HG3Z93U9XF3Iz0Hrl0chVPHFncP0nmIhOgx4lmXao+pY7Vuah0K44olPqgNnEWvlVNKRoi23XZbvP7662hqasLOO++Ma665BjU1NfjNb36DLbbYojvGuF5J6OMV8jAAcUXk7DJjdiHqQ8flDQqizIDiIkbBlOocTIiXixTJxqBgy67REW6ndkh1KiE5V0BddZpxI8UXdZ/oj4pGk5K/2VIHBO9jdduMc2cmZ+TTKUTEWIAmS0vVo8k6a10qhRDMNzpu5ILNa8ek5lA8rj7XSspUXQl6zZX0q2YNlhYINccQb8CYmxCQ/bFZ5Dnkx7G+V4SGdH5O6Jggog6Q00QEc9U2CwKHKOjTpq84NJiLsmWzfMeS8FLXoqCck3g7M12B2o5CV8y+zPFxeYi4jbmrkWjNw5cu6rW4F4KfQ3F8II9bLinZILr00kuxZs0aAMCVV16Jr33ta9h9993Rv39//PnPfy77ANc3MaObeEPHsJAVPo8qNYyvXSLzciU5VIOoI5cnIVSA8CtzOymzlpnDjhaIbn5zriwsq+YmSUcwekc2D9RX02H3FBoiGBMZlaRd0Oen9i2RBYHoXAaKIMcsRFEhW51UHa95FxFj1ePSkSIyWZo6JxKB3FyE1PkBRNg9c/1rq1JYjTjXqLt2eV2RStBrWuqMAu3iAPRFRyJVU0gSv1gXXU0hgZjdrOiLug0hsm1+TEO/K5skPULLZ3l4LOGXQcNs+i+GwljcgyWXcyLahSiv5uIvvlKoWXR+leMIEaW2RJqRru88pmmss8EnWrPQ+JPyUKn3b5gglemvXFKyQTR16tTw79GjR+Odd97BF198gU022SSGNGyMEreQOQiS8bXGdoOMy4wh8wbKFCCKrKZTSHnFxTeTK9hdZoahY15eLqO1jUPkqog4X3tdVRpt2XxYMoImZBIuM4p/Q4R25gi3QRwhgjgH244rhhARxpr6O9N96SE+Bwoh8gglaSvxIe0u1d146DKzGMQxArmwiPeUVIJeUxcA7pyr71VuEIkQKc8nZziZoe1WlMOIgHOPskyJ7Vg+D+uW5+eginhfc4aJ4UaPkCR9DrFNLafDOf1ncUtxEarFPuCU1DDqqxD7jpqrNXrMUdd3NaM5x6HMF/Q8bBWXhwgAPv74YwDA8OHDyzKYDUHMInhs5BVTaJWDKmMuM+4GUyIsKFixttOY6MgVrNygiCytHyM6pukyo9vFKipbYFmbr71PXRXasnmsbs8BUKPg4nOwpvM3FD0XoRKcIxvnIWUqXea61nciRK2Z4hz4PFTcjjtqY2Y9V49PhfbSSJJ9rsXxRcflOEQ2468SESJVekqvUa4wgHDVKPcEt7kA9I2NzcUR9BfcQlYejCv/htN/HArj6JZXjcRUygs3erl8AZ5CjdWzzes6gYq6osZmc/vZi1YzuoOjKjgUhg7GlYIXriFUu0jnRschyy8Z7Tjqhl2H05vpOPJtN5yqlJsmysNGH7dcUjLwlMvlcNlll6Fv374YNWoURo0ahb59++LSSy9FNpvtjjGuV+JKquZSpnM3TsS/KH7OR5n5rI8aAHrVFhfilo6cgPwEczD5LfTOx+Ybj+8Gi5/bydd0f33rqwEAq9qyWjuquCtdByxuEJnRDgBEXo2VVN3ZD2ck9Kkr7kUCo441ThkXrJ6EMm78+cR9QtZ3E4xJkxhp9mcmZuTOSY2RIb0SEaJK0GuqC4YjwQK6ocOFtRfbRf1RyAqg57oqIkQcqZoLeKARnZzhHo0jRHR/nHES49WQLhh9rsV2wjNMGFf6MV3defL9zxk6Nj4X1Z8amRm1Q2x8HKJjtmPzEFncea5keVu+NjFfEYH8VRyp+tvf/jYeeOABXHPNNZgyZQqAYsjqFVdcgeXLl+Omm24q+yDXJwl9465EO8Mna944ZoV6znBSMyRz4c8A0Fhfjc9bMljVlkX/XjXkMU1YljOIYsafVXGYOy6b4UT3ZxpE1K7G5EaoVdbV7sx6SXlGmcZ2l8zYzEzV3PXq3WkQtXQYCBGzCzUNYirbtgqjU/cdTaqOj4+7Dma7WsZlZt7rtUZEHUfI7UmpBL2mhckzC5j6XjWcSINIWYi5xV9DiPI+q4fSjF5zjtCyoTCW8QXPMct7THvI5Iv9pFPcIswRw42xMTl3OAJ51F/x3HD0iJLdUtQzbCB6ajsxCSVjYMfmaslDFU/gqDXjDd0uAAImesnNtZxSskF055134u6778YBBxwQfrbddtth+PDhOProozd6gygWTm8hVceSH7JRZrKRoO4uOAMGAPp1GhNfrMlgk4Yasl21opRUpWtTHJwrJMYhKlmZ6u36NRgGkcX/XPCLD64ta6rqSjLbhYZpzrZTpRWRuRtsrCvOYXV7cQ6BoucQwhipWmmmjjNbKKA2lbaU5LC4EWPXiz5W6OK03Jumy4wj5PakVIJeUxdEjsgO6K5lySBSd+Hss6n0Xcx8TS+I4X1oXmsuyizQCQz/JkRr8iYyoc+BcyPyCEYh/JsnBst6KJYjyeIeyhsuM1vKAj6iTh8fpTv0ZJXGuUurz6a5kbIYidb0L4ZuZs6JmRPNhjhF1JL4cam5VpzLrLa2FqNGjYp93tTUhJqamnKMab0WE5mwPXSm4RRzX1XpCBEHywb6psgrANkGAEYN6AUAeP2TlWTuG3UOxf4KpPsF4MnX9hBbbsel98eFxTaaCBFhnGhGgoCuqS4DteZTcR7UTkpOTOZKFu1d24kQtesIUfxaGBwKihhOwejhfQelnUA0J3ZmJNxOhDTbdm/BXAPjjyPk9qRUgl5TF86csPirEVqSQaSS7Tk3ZcC/CdpZa4+Z19pWzsIxgIIznFRXDRc6DugcF879xnKIHIM7usqXMtE1K/8mxnEqHTVxdXHyeZ7MOdDrlbX8km2uArWEznLPb/bLISUbROeccw6uuuoqdHR0hJ91dHTgxz/+Mc4555yyDm59FBPS5MMTjZufs7gNlwnva+90mxTkyJMxg4rJ5z5fnRFufnMOMuxpZqq2JebjiZbMQ8xwiFa2ZrV2VJSZdlzCsNPqhcWULjFXC+wdusx8XXGYczA5RCwKZ9wnAVrDQcuxBGtCKG7xuPE+uOtgztesW8XtBgMkckVrVmzXk1IJek1FdNSoQ85IVtHg/9/em4dZUV1r4+85p+eGBppmtFFEHEBxIImkuQFb4cI1aEhaop8xRJOI1+FGMH4m6DWO1+jVn5/ggHjV65CoUbET4xAcwaBN4ogiRJwwIDIITdNAT2eo3x/nVNXeVXuvvU73abqb3u/z+EjXWWfX3nWqVq291rvWUm1+/BcxzSsUa8zoQya8ZzO882d6YQxcy7RRJ3yfKEXALXXieWBiujVkjDXtGswGjDh+0Lumq/UU9MyyjQRNyrooozdMDck9XEMn5OVKH+canaYwokqH5xKskFlNTY3098svv4zKykocc8wxAID3338fbW1tmDJlSu5n2MOQF3jBalPbdeTroEGUp/YQhB/OzDlTful61T0zoMQ1Jtq0np+gkaDywKTl1B4i485Mc/MH3bIuN6UgTx7Q5T7V702/vFTrIBsIBnZckUh6jHgqhUhEzFDx/611BetI1e6DnlQr3b5uyKzVzZQLr0H8Xqh1h0SqVhh/CoWlKjGguibRwL1kTBN2Ago8IFdeml7rzqY2aY5dbRB1N70m8jRosrR/T5ByMdV46vO2Qd4QaHsvGkIhuuwhbkVr6v6neFUq75qJQ2Q2EkzGmsZIYPJl2ntNYlG/FY4YWhX1FbfEgL46uibEGSh/EB5PXquOQ6avGi7Lufemb5yqDfZcgWUQ9evXT/r7tNNOk/62afc+ZA9RSvvQ6UiKqsJ8gCK1mYjdUztwkX+j4xqJRoKYstue7vTi3yFPgiHW7irf/MBTUtGnEACwfU+bNJ54WokbEQqZScMhPxpFWzKVqXIreEMEuSCXS/fy99Ya8BDpSNVuGEkXMgsVSVSsNRr4vXTnpdLzdd61lMPxBqQNJ49UGpAb4Bmw3csg6m56TZVlZuIG6XbqgBhac7Skamk8wXAKvqyD3hWT0WF6EYe8i0aPQ6AUAZHJlUpFybFM4exg6F6bFRvk0GWp//SUAVrOMxKSgdCqMuwd1AfSUAiWTvF/B1ku2zBiyEOo9dbR77+gIa7Tu7kCyyB64IEHOuXk+yN0IRhdfZmk96JLH9fvuAx1iKQss/QxVUE5t4dWczyprY4NCEZCSs9JCvdjM93Ueu+F+Le7Vlc+aBC5IbNGglQt1iYJek1UyrQtmV5HXtRXHKqihnED/8BTfqG6KUEPES/LLD+gYNzfQlUh1v290vJhOWUvM8VvIf6b4mQE02J1BnG5GzILGkRdnGXW3fQat74Qt3WHaJxQtZ9E/o352aTv66z5N0zybYhoHhpPMCYZYwG8MJ0o19G1cjP0gkZC0Lssjid1JVCWzgh4pQK6NFg00rThNpWTCep6Uw89r/ilxmAP1j/qbN3R7sKMX3/9tdf08PDDD8egQYNyNqmejGAIhtsVWFepuCBEqoVyPNEzQSnTIqFlBJWNFotGgIyR4N6EQbEgCVC3a/QMJ1YvH9+YiHshM1nOa4yakHcNqrIAbYmU0YOVnl8SbckU8jPnCnO55PR87YsjwCHSvYj6FjLrEMVkBaMvgeAbdel5hu8BKj1flY0G0DyVMNcsfBzwPUShkFk36nbvoiv1mkiWpkJh4q5e59EB5PAVVftJIi4zi6saM0qZbSo8Y0JDtJcy6sSXf8jT4b9g9ZzH4MsfyjWEsmeThpe6iX8T8CRpw0OacKOu3Im4WUmvLxzujyfdliwGr5ShDlGYf5U+TpHbAb7hbCKkh0ogZM1+5iHrYffu3Yuf/exnGDZsGCZPnozJkydj+PDh+PnPf46mpqbOmGOPg9jPTLeD03FSdDd/3FANWNwR6LwNgF8huSWe0nqlxPHEXYhOSboPnc74C3uS1OcVSaCAHyYMeojcjvd+HzBaAZpc0KIXThu6FHhMYnZPuFI1MmuUzxkmVae9XHsC1baDP4W/86XDfnqeljCWWGKAqNYrGzr6tQaJ67p7s7w0QKruJh4iEd1Br4m8Qk4ojEuqTiRTNKlaGE9HqhZfTOKzbvSamPhnATndePFkiiaai9fElCnnFY1Mkec0zk3jhWETiE2eKZMxSSaB+N8RveRcI8xIINdcu6ABYzKcTbWedAk5qtBvLpD1qL/85S/x2muv4ZlnnkFDQwMaGhrw9NNP47XXXsOll17aGXPscRBTCtnuW613Jf13W9BwCr6IhZAZ5UaXPEQaz0/6vOHsDt3NCmQeOu0OyVdq1FqDCsYjVQeeYm8NiUAvMwOZO6XbEUbFF5H8XdVa48ILRldiwH1ReWsNCPbRZJnpSiD4nh/1/PIDZEaVISbVlyK7h2s8RJp72D2v7uXsZpnt2JMmwXd2LZH2oDvoNbGRc7akatX7QTZ01C9EQPb0mjwE7ni64po+X4aXZZZNDTOKGylu4IweaIPHWPfyN1WRN5csCFaqVpcYMNWwk35XgQ+oq2gtbmrC5+TRHrTZYzrvWlDXazbJpvBgkENEJQfkAlmHzJ566iksWbIE1dXV3rHvfve7KC4uxumnn97rCzMCoqdDHzLTFXAM3mDBStX6EJy4a0wfU+0GiwUOkVf7iFoDQaoOFjXUGTrBsJ+x/kfS5RBlPESBLDO30F+L2yxUs95Q/FmnYASDTV9IM5B5xwwFJDS/l8shakum0JpImlt3BJR4mHxtNjqlzDtC6WpDYYRBnCRezu5am9pcjx6Ua+hKdAe95nqI2hLMCtRJfQVqcTyZpK2QU5G5DeFRj1cT5LcwPQ66xqhhMnd4bmovlx+W8rwXwZdraG5QjhcM3evCkuEQXMa7ZgzVqZ+TYAq87nkSDSxTSw73fNxCstrfNZgpx8y8y7oViEGH63iguULWdlZTUxOGDBkSOj548GAbMstANHZcA14fpw5U6tTcEK7bU3djxySDSK9MC4RCjzpvAyAQcJP6c0pGAuGZ0hY1DD2c8s3vVoXOD5zY4xBlQmYO86HTlw9QKF3FWO5PQ+1C3d/PcUAW5iwt8Pciu1sS5hYHxky5gNJVGNiSlyuVklohiHKRSLBYn8YrKVwTsT1EcK2uAZtIOYHwDboNuoNeE1+IrFCYwRusytBS7axV/JtwwUU5POrxagzkW5OBFXr5E5lXVIaReO24FaOzJZAHr4m48QVA6Hr15lff8yxoJAZS4IX56cKIIQNWt5Fm85Y0xp/W88clkNOGsy601m1CZlVVVbj66qvR0tLiHWtubsa1117r9QDq7ZAUm3cjyjLBH9rRvGCD3BXPiCFSoKlQmEygJHZcgpGgaysi7UIE44/qWO04RK0TTSsQnccp2AoiqCfFh47sg+Rek4T/IlKTVP11mB5g97xUUbfSgkyj3ZaEtnVHUGFp16ApCyCOF4lEpGbBIiGTqp3C6aguh2WCHr2Y9++2ZEprwHYluoNeczcrYqsNFfFc3DgkNfoFkO8dXcgkfcz/DXUeTekFK2ySQllBmvAQ9UKUa+no5PTeW3F806bGlRH1kC50b/Ly6prF6jY1JkMsVPxS59WJKe4TzVhmObVhqt9c6lttAETWmmZ+poSX4LWjQsS5QNYhs4ULF2L69OmhAmZFRUV44YUXcj7BngjJQ6RzGWuailKpzS6JGCBi9+KDTqTsAv5DQBEt07vL9DFdmAbIeE0MfZAAmnzL7WVWkBd4mAy7GjGGrpLzDB1x56vxmqUL2OmJ5uL3TBl/+XlRoC0peQSC1zgYWtW2+NApIoWhE08mFYRMxW+blCufqwyYWDSSznYS+XIBMbGwZms8RZaF6Cp0B73mviTakvpQe1rO90z4L3UiFEYUXATk58RUgdiV05N0ZcPcWCQxqe9OL45n8oZJnEfOBo5h/AV5MGFjjce/CSaLcFLRUynzBk56byjO6WY7U7+rV5rBUCaEzb8KcB618wv0sjP9FkEqQGd5iLI2iI466ih88skneOSRR/DRRx8BAM4880ycddZZKC4uzvkEeyJUJEVdGAngc1dcj4hqPNlDlJEhdlKAn8WlJGSqaqIEzhmJRJAXjWRCIUKbEmINUml9Yg1iqii140ql9JwpaSdNvPzFjD/SG5JJz48Taw3F7hk7ffGaBHW9PhsjODdZiet3lxEg7nK+wucJrkOs66Im7kYBpEhDNxb175PWREq71q5Ed9Br4m9IhsKENG6KZCreO7qQbPqY2eMQrOul8waKHkjAXMNHNGC4cjrDPH1eKnQvh/i1iSzMEgO6bDR9skjm2UzS14TiBol/ixsplUc7L7NZkagWTM5P+zPl1Jtaftp9D/MQAUBJSQnmzJmT67nsN1BViNWFJAD64YxF071rkikHrfGUdFySE8Z3Y9rUTgrwDSz1LtTnGulqJAHphz2RciTytS61052bLqMq2ILC1PDUHc9kYKVDdeHjwfGoUBggp+frfi9RQVC7UGm8pN6oC5ZncOVMWTu6sJTElxKVrm4HRyQGiOObSK+FeVEk2pJoS6S0a+1qdLVeK1Dch7oXHSDrDTWpWvgNvftGHzKjNj/uOdzin7rNStCj6d63VPhKqrZMPMM0qdpfqymFPy1HhNaY7UeCHCJj644sGqNKHm3CSKAKboreW23IjFkxPCboPlFO6zUzGpNqkjblIZQKc3aS7mAZRH/+85/ZA37ve99r92T2F8ikarOHKEnIpcdLG0Rumjmgf4EBfs0iatcI+B4iVehCrmuUPqbP7gh6CIK8gkCGlsYVLKeK6o1JMQ2fLBypcC2rxlPtzFQ7EC+0ljD3fALSPB6ynoxY60ljdAbd7VqumUZhaflSwVYI2owXHnE35egzj4B02GxvWxItiWS38RB1N72mynakvLxUjShA3pj531WcV/GcaL0wgWKtoZ5XQSPBkY8H1xp6NrUvf5oYLvGlDIUUXTmO90r8v76/l+GlHvKuaNYqeP4or5loJNL1qnzdrAuFhYjhBk9NKBRm8oYZ9JB37TReMzFqkJSuSReGzL7//e+zBotEIkgmk2bB/RziTWa6IVw5VWdjF/mxKFriKZlDRHCNXAVI7aQAv86P0vMj7syY/AOdwooKXi45PV8/N/EB0O1qgPQDqsuWU4UugbDhJBqwJHcjpvhdg9l+oofIEYjmWoUle8P0YT85BBGcnjaNVeMhEpWpar1S5hGHzGrYwUvXmLif9iW6m14Td81eqrfGuAQChonyGZZDP4DGQ6R6hileISGXL2SxurIAwasxkfuZ7UxUfKlQIovGe0t5aujQfYDfZzA6uATikIdI4yEXdSRVgZwynEUuK8UX1BG+qQQaca26EgjBZsG6EJxpA5crsAyilEg2sDAiT6H8Tfwb6iXhvkxaxJBZQE78XjypVkLB87Z5niTVy99Pn6SyglQ8GJ0ydQ0ijncl7SHKrI1wfbeR44UNHdU6xOKXJHEzav5dxUar6d0vcY2Fh90cMpN3lyG5EOkxs1YiBEfyFCL+zoxKd5Z2cORuVRiP8DjuS3Q3vea2qJE2DUSoVbz36VBYyvMCq41acxIIEPDq6EKyISNB/m5wbuJ9E4kQoRWCGySOT9EPRB4UVYpAX3BWFhTvfYAK+6i9JlQbDR6/T19ZH5Bbt+gM2KBXXruB15QEMGXUmbhGvpx6rSr9kv5+51hEnWRn9W6IDTk5D7HcCkIxXkZO9BBRWSCU50f8Lhky0ygs3dxMCouTeRfsUK8zsFyjDpCJhRTBT3iWtCnrJm+IkvSqesFEeApLPK8XCgt6nJjcoGA1cO1OT+EhikQUGYSiMs0yfKN86QpeCN1aezvEzQUdClNx3sLjiRk/uhcYIKdKUxWyxXvR45BoCjP6WWZqnqJqLBNHjUOqFjlE1OYyThhO8sZMqBoeGI5bS47rSZIrkOs3v9xNiNLLS7w3qCQg8Tl355g+rjYSjXooyCHStALRcR67nFTd3NyMV155BaeccgoA4PLLL0dra6v3eSwWw/XXX4+ioqLcz7KHQVQKZCgsGkULUsaH3b0pWj0DxpACn9R7JdzxWhMpP8tMIRZMn9WNx30hitknlHfF3cHJmRHqNSRSScQTQnHBoMLS7C60WWZi6JL4Hdqk3aVaLpFKSsYfRY4VvSbhtHvfCAPMIbPgblXHq5LaNBAhiJTD76tF8eA44cGuQHfSa/6mIUXeN15YKmG4D4Vr7t79Kk8S1+gQeSQ6Q98PyaYNX89TqXnmKG8TIHtXdAaHODdzYkRa98UT5hYf3lozOjAWsCbD3CBzHzjx/xSHSHx+tZwkk0dPVa+KNP70XCPvXgq1/Amck9vfTSdHeYg0bUpyCbZB9NBDD+G5557zFMedd96JI4880ktJ/eijjzB8+HBccsklnTLRngSxuzuV7qryOKh+6AIvZJbUyrjVhVOOT6rW1XnxPESE4eRXqk55NzPJDTGFTBQZNDqvSVsihXhKXUXZl4sAcaA1QXjNREOHGfZLUCEuVShUY/w1x+kmsOL8yPYoUX9HC+gVTKhekea3UHnqdBkqWckRyjQo53scu94g6k56TSqaSRiNBQrPMpmKnnKQ7x0Ln1d8Ttz7h7v5Ce/owzpNNZ40FnFO0dDx+EjEs2kM3Sr4UjrOT1pOz9MJtvgwhYeMGVXSs5SZCxXiZHrNKDkps1csJ6K5JqFaSjpvmCcnry00XjB7VnftDCH+XIHteHrkkUdw3nnnScceffRRLFu2DMuWLcMtt9yCJ554IucT7IngE5KZLvJAyEwlA4g3mf5lDQgcBM9DFJYTO8pTO3ppt0JlyokhLkYJ/raE3mUsyom1mcJeM8XLX3FJpN5QlKdOeiGkj1HhwThRvTs9XtiYDHm5vAJmbsjMXRu9C9XXtfKNYUrpqjw/JuIudU3E+0Sn/LoC3UmvqfSBilQthn1IErTgXdGFOAA5pGMy9NPjEeRbcW7EC0x5fxFhOpHLRpYiYHhvAblfHMVRTBLXOEyW1qw1wCHS8cNUGVW6rGN3vASh66X0fI3RKbffETiPBo+OqaJ1qLlryBALjmf2runalOQSbIPo008/xbhx47y/i4qKEBUeruOPPx5r167N7ex6KCRPAunS9l+wfthH/xC3EHWDxHN4HCLNr+veTO5Nrbq53F5be9uSZOhKJgIS4SHJSNAbWEF+U3odekXp7jDE77ooYHhgAN8wiQtVuUn+gfHF4Y/HSrsnWrKE05jVv4UY9tP1KEufU8GXMngDqDXInh/9/RmLyvNTraEr0J30mqqtCnkfJkykanPmVVpOeHEyf2udnLY1TOhFJxp/DE91iqc3TNlo0qZGI+eG7j05rfHnjwWIfBn5nNo6RBpCsuQ1M6yV9QybCs6qronOe2Wo3h1s2qurQxTkRuo2yWIFcurezBXYIbOGhgYptv71119Ln6dSKenz3gy/G3uS5lUojATqBdvclsh8T31DuJykVsLzI57D4xopxPpkOpTvaU2gLPNvasdlUlgqRWnKvPLma3CluwiKFWaawLbEkzQ3KM8fi+NuN4XC8oVsISoE5x4Ta/jouGFBZarzhsWTNIE8XxEyUHrNVJ4/gxeC5oKIHCIo19AV6E56jRt+Vhvc4fHEEEyMFVozGPCMLEsxjdttzqySk0NXGRmKjG/YXORLIbP0MfWzGU4q0K3V5Qqa+Dem6s1BL4e7WQlmSokkePJZEgxY0tsu3U/pY6YCjtoaSSEStM7Qka+JlkCuqaxPXWPqmcgV2B6iyspKfPjhh9rPP/jgA1RWVrZ7IjfddBMikQjmzZvnHWtpacFFF12EgQMHok+fPjjttNOwdetW6XsbNmzAjBkzUFJSgsGDB+Oyyy5DIpGQZJYvX47x48ejsLAQo0ePxoMPPtjueXLQtygdsd/dkqCJgMpS/eHxCjyDKD1Yvkr7wX/YXV6N1iAKGBMquT6FaSOooaktC66JfEyam7IUgWpuMoE8PT9qDaKcLFicMYia4zwCsanLuDpTLjy3fNE4YaSsy2UX1Of00uk195MqsxHQpzFTLVQAUZnyeCqm319VDbk7eIg6W69lA1XNFSWpWjDMqUrFYqo0GTITwrJcr6H7ItMZOgDIQrIFwrNEbRoKFEYipYdMm0v5GsvfVa6VmF+who/WSFQQyFXzy5fCz+YwopGSIYbgCO+tfF5N6CqYdm+oQ5RNVW6x1pOWf2Xg2eYKbIPou9/9Lq666iqpG7QLtyv0jBkz2jWJt956C/fccw+OPvpo6fgll1yCZ555Bk8++SRee+01fPXVV6ipqfE+TyaTmDFjBtra2lBXV4eHHnoIDz74IK666ipPZv369ZgxYwZOPPFErFq1CvPmzcO5557bqQ0bizL8m9te/piVoWPMMst4HJriCel7uvHcFh86S9rVia5SU+3UDx/aFwDw0tptfpE4QjknieaugOBdMaWiu2tI6BvZiuegDKIigQeVfemAsJwYvuIZTjQ5VlRY+hCXvE5dpWops5HgbqhIr2oDNjyecbfKSosWuQBdbxF1pl7LFqLnh5M63mbIYpRCJqQnyTc6KFK1+GLX8cDEzRqnTIjEZSPuL6nmkuK2EStaczxJCUOoTuWFCRGDNTV8qPpC8mYFGjnuM+frXFXUQOldUcmpvHUh48+/Hu6Y6TVoPD9BvpTm9xfvJfG4cg3ENckV2CGzK664Ak888QQOP/xw/Md//AcOO+wwAMC6detw5513IpFI4Iorrsh6Anv27MFZZ52Fe++9F//1X//lHd+1axfuv/9+PProozjppJMAAA888ADGjBmDv/3tb/j2t7+NF198EWvXrsXLL7+MIUOG4Nhjj8X111+PX//617jmmmtQUFCAxYsX4+CDD8att94KABgzZgxef/113HbbbZg+fXrW8+VgQEmBv77WtBGjb3sRCCMRcs1tyczf6hsimJ6vu29CITOFkjzpiMEAgO17WtHYHNfOTdqZcfg3hlRh94GSSNWEsm8jPEnFQsiMLC6p4gZR7vYEHTLz1sDMAko6eq9JqICZNu0+vLtUjSe9dDk8FaJopLgGUy8zVU2ozlRsXHSWXmsPVB5IklTN1BsmD5HEF2NmLWm9JpJB5OuhUDkJoaI15SHKz/M3F6xwnoFrwjU6RSNBl90WrOGjr0Ad9o4r5RTZfnR3AFrnyv3dMuc0Ppvq+0nc0IgeHaqWkvh/XQFHU9820UNO/f65AttDNGTIENTV1WHMmDGYP38+fvCDH+AHP/gBLr/8cowdOxavv/46hgwZkvUELrroIsyYMQNTp06Vjr/zzjuIx+PS8SOOOAIHHnggVq5cCQBYuXIlxo0bJ513+vTpaGxsxJo1azyZ4NjTp0/3xlChtbUVjY2N0n/Z4MzjD/T+3ZTh/VA7LjHzRuWt8TlEGYNIEzJzS/q3xumQmXvTxYkXWElBnudh2b63jViDyA0xh5HMJfh9A8uFyRALHnPhh8yS5O4i3xvLYCSoditc8jWxMxdd6aFGtoG0e50xoatArSv7bzT+mIkBYr0iKowYE5SzrpZSVyDXeq0jukOsLEy9EN2K1pIHkjDMTc+mXBCQYWARoeBY1M9acj1EqqrCYsiMzuxkhoeURSj1cqaQmfTCduRj4lpdUBwX1aZBtQ5VCL3DvedgJq6Lv6ve+PMnQnmwxKQNd45puSBfSvCip/Q6PKa6N7uDhwgADj74YCxduhT19fX49NNPAQCjR49GeXl5u07+hz/8Ae+++y7eeuut0GdbtmxBQUEB+vfvLx0fMmQItmzZ4skElZX7t0mmsbERzc3NXr0RETfeeCOuvfbadq0JAAb1LUR+LE1Ua8oYMer6H+ZMKcBXgE2ugtGQqoOp6CZStdeJWiPXv7gAW+ItqN+jN4hiTGOCS0hWen4IhSVeu6AxIZKqOd4QsSqtKVOOUroFiodddd6oqAA1O70g+VAXMgsSN4PHvbUq3PfU7rItmfLGID1EUl8t4gUjGP/dIWQG5FavdUR3iBsd9xlWh6nD96E5FT39Har8R1IcjwzB+F4T3fzaEkJyh1L3+c8vGaYTEhQ4yRjm5A5hY8bxOAnGhK4PGODW8DFziMSWHNrihyn6WeJW+VYRzU3h7KQmPCg1Iye8wUGPtm7zK4bg5KatGo+T4ffPFdgeIhHl5eU4/vjjcfzxx7fbGNq4cSPmzp2LRx55pNtVt7788suxa9cu77+NGzdmPUZhXvplTBkn4kvHBXVjt2SMq3yVhhHkXP6N7sYRX2KAvq5RSWF6Dbtb49rxVF4OoxInQibueG1J18ulnJp3PanikiKpWmdwAHxDR+bfZMbrQMhM5hCpFYc2uyMwnCpDSTkekxskhiooz4+6nowqLOPPT2fUdTVyodc6ojvyhZcOVXNMrJhOk6rDYSSVt0blITJ6YVyjlvC4Uh4ivx4QnfAgh2454Tz6flUR0k1Ggqsng3otXMOHDjclhPCg6rxKvozCMM1TeINNIU7SKy9V6qe9XABtnIq/g3tugOZLsbxmhjXkCll5iHKJd955B9u2bcP48eO9Y8lkEn/9619x55134oUXXkBbWxsaGhokL9HWrVsxdOhQAMDQoUPx5ptvSuO6WWiiTDAzbevWrSgrK1N6hwCgsLAQhYWFHVpfYV4Ue4RsXSos0RoXvSHhsVy5pjbaQ+RnmekrugL+TRfXvFz9NaQNir2tegPLJxpnY0wQsfuAh0hn1AXJxiqx4oKMQdSWNISHwgrGzKsxK3FTaX2ZQ5Q+FhwuuE7di0jVKFYlJ/NP5HlIcoK7PRplKl2G4UQVodwf0BHdIfFvEnq+oKqEBe0hon8biUPEMODFDZzek5r0jTrF7yyF0MnQlRAyY/BluJ4fYzNqsVmsgeDsVtHW1/ARNitCuDgUHpc8SZSHiLtWd7wUufkVN8g6g1hbrFLjDQun3cs3nmhcUyEzsVyHZ8Bq3n+5QLs8RLnAlClTsHr1aqxatcr775vf/CbOOuss79/5+fl45ZVXvO+sW7cOGzZsQFVVFQCgqqoKq1evxrZt2zyZl156CWVlZRg7dqwnI47hyrhjdBaKMt4JF9SOi2o/Afg3mRcy07xJ3EKElCICwllmup26yyGieFB+yq5htypwYTikalPYzzPqCDl3/q0JsR5UeCyuUadaA1VJViRumirJ6gpH9itOl3DY1ZT20pka2ZqyvZStO1QvLK/iMC8UKlZDVipd4T7x1rA/WkQdgPhctxB8QTFBwTWUVV4YyWtCeO/EkA6nuWurkD1GebDcQrLKNTBrdRUIcjQ3yA/7kXxBVVKByUPEMU7EsLcm3GRuySFeE0K/SCEuhqFj8t4r+gya25mo1+EldwTS7oO3gO8xDmTeBTeEKuNvf/QQ9e3bF0cddZR0rLS0FAMHDvSO//znP8cvf/lLlJeXo6ysDL/4xS9QVVWFb3/72wCAadOmYezYsZg9ezZuvvlmbNmyBVdeeSUuuugib5d2/vnn484778SvfvUr/OxnP8Orr76KJ554As8991ynrs8tzuiCyjKTa+7oH2K/MKPajg2Op61oHcgy0xpEQQ8Rd2dmqLnEIVUbPUSCB0O3Bi9k1pY0zE3B+WF6kjpSqVriEHmeH1mmok/6Pt7S2CKn54c8SeJO2nx940RWjDRewkFBzPySNP3+IiGdqsremxGJRJAXjSCR8rmHZPhZCOfkK3bN6lYb4fOKLW446d6ivqI8WC1Ecke+4n41hdo5JSy4TablZzgkJo1H8arcYrhSyJjYrNANkLkeonB4XO2pU4xnMpw0+k+8N6l6RcHK+rrNlGjUifecvjAtrZtzhS4ziDi47bbbEI1Gcdppp6G1tRXTp0/HokWLvM9jsRieffZZXHDBBaiqqkJpaSnOPvtsXHfddZ7MwQcfjOeeew6XXHIJFi5ciMrKStx3332dlnLvoiBgEFGeH7ZBZPAQeSGzuL6+ECBkmXnGhHoNrodlr+shUsazw+5g1Q1boNiZqabHNuoC7nslh0hsP0J4OcSaO2R6qsi/IXkKCiVucGnreDWVA4rRtygPu1sSePuLemOtE7Ewo5rMqvIQqX4v4YXgpL/D7nlGGE6yNyw8v96O/FgUiVRSeNYJD5HgXVFtksQCfnGPB0NziDgv2DaDvvK8vIS+EnmQVIhfLE3iek1Uxh/npZ7+rvBsumRu4tpRYaT0d1XnVc8tmfLPqQ5xhnUp7ZU3tTPx18rihqVoIzGWMYikFkcab5hXJsTINWImYxjuzVyhWxlEy5cvl/4uKirCXXfdhbvuukv7nYMOOgjPP/88OW51dTXee++9XEyRjcJAyIzKMms11NzxPUR0peqCQAhOI+bdeNQLEfDDfnsztZTo7CFDTRQ2mVdWpjonguhe1sm51bb3tiZoEijTo8N1t0td7Bku8qQjKjZZpig/huNHluOVj7bh06/3aMNNcgkHs6EjhvNUO1/33mwzEMjdc5hK66vqEHWH1h3dDXmxCBD3a/ioXv7u5sJxhI2DwePghsdNBfzIFyfbQ5QJmREFYt3nPC2nN5zEkFmS2PxIGVUMblBW4WwND0aUkzKFNYkRgKCbCeOKnU5vIpALmyRW2QWDkZgfi6I1U4NNl90opvqL9YrC3CDhnIwNnORd60S90WUcov0dRYyQWdC1nJYLj+W+xEy9zNwHzy+IZvIQ0eRrcTeVHp9WpqxWEIYss2BxSVOmXJxQkn2Ffmw0gVLwmnBSdg3tAVTtBoxGAvEicvvKNbcltSEzbiquMqPOsFZOiNOoxBXK3nqIwvDa9MT1z7p4zA2tqQwnVesO1WZKlfCg5iT5nDz/mN774+o16jlPy+n1lXgfUiUxRH1AN9RWhHhJojmv4S21qRV/L9obJhhrDL0hPks0h0x8NlVGHc+YVHGSwqEwf/yUA+07IU8Z9qO9l/uiDpE1iDoJYQ9R+EcsyWRB7W5xq1mrd83uS8xEqg71MtMZEyEOkXoNqjTT0DmZGVWqkBmlACllKh7n9GOr39uGXZlq2xRJUeQfUFk7xiaYQmiBdLcLBESKVyNW3NYqIinEZfZecflSRvKpaqdncH1TVcN7O/K8zY85ZAYImafky0QkX1NGsp+NpDTEAi9/vb6S5aiXOiB4iJTn9D2VVLVtFTGcarwspvtTm9VkymScRL3xXOganrrr0I0l1wPiPUscT7VcIykkJnicmJmihK6X25noowZyFW39BknkEFE1t3IFaxB1Ejik6tLMC7uxRV/nB/AVoPvSVCm/tFxYYakgWvq6uQFhBWX0EDEqv5qMiYKAh0g7t6iv2HRyQ8qKMLxfusbVcx9szsgpxlIQPMm6LgLXiJuerw5VpP8vNzwNyxUJFbf1WWaC54fwwBUo5maqts2rQ8SrE5OWg3atvR3u70h5flT1ipQeIsHg9snX4R9RfObiKX1oLcghMukralMTiUS8OTcT5OsCRWFGNYcofL/mEwaMtPkhwohSs1jD5sf7LpGyTukrqWgk9SyJhTQNnB93PA6dQcwUpZoAU7WexLVSuijGMK7E8UwZdbmCNYg6CUGDSPVj98mQft1eYTpORVAB6EJmQWNCR0gWs5t0c0sfDxh1Bo+DV/adGZaiskC4HqI2wssVi0bw7UMGAgC+zhSFopSa7KoOjyfyb1iVqg07Pff6pog6RIBfT6mJCJkpFQeZZSbUdTFcE8pwknhQnPCgoMStPRSGm4zhe03CN6JoTLglMaiQSVysLK3iJAnJGO79pSr+6v6GFOEbEJ5hgi8jfp8kX4shM0JfSXwpz9ChwoNiwUW9Fy6RSvm8GsLQF2kPwWssfo+qQC6HzDLfpZ5hg9dMMv6IsguqZ1O9+RFCa5rziteS6kcp92OjjDBVaM0aRD0OBTGzQeR6iNyQmU5xBDPWdKTqIMNfZ2C5z6trTOheTCFDzMCDSWp2A0CAzEuQ6IKETG37EVcpGHarZUXpOj6u0akmGjP5MmxPkr9r5BROkzxECjm3/IEbRlGtg2vUSSUGODwoQemqXjCSG939/Q2pwtZDpEfY6KC9MM1EsVZRH1BZZq5+cbNJdeNxzimegyJVp8dzDScitCZV5abCfv6zlCDCUvnM8TxPaoKu4eMeaxF4VcFr7KasA77xp665JIQuqdpMQtkFTigskRLI0kq5sKFDFc2lilqqvGGAIhtNaVyF56YsWWBJ1T0PwRuZ4rhwQ2YuTEpSN4egnPdwGowOF1QtJbnKbXisbDvKt3g8KOXUBBc5bTi519jlEJnCeaShI3KNOJWqDXKedyVJp6IXkTEHFAAASepJREFUBCqQq+Yn8g8oo65A/B0Yxlo8KWQoGV4wVANJqZ9TN23d0R3g8QW9kJnOC+OSr/VyUgf4JJG1liefUzde0HDSzi1PNpxU5xTHo8nXPG+IyDWh0vNFTzXtSco8c4YWH76Xy99ckp6kBOGpy1JHxk0bLlV6Pqn/DC1elDwtWUZsZyKR73X1hQx1o0SyPOWBzhWsQdRJoNymLjwOUbNPqlaOpXE3BhH0SunG8xSRocUHxxBjh2oUZF7qhe0qGH1xyfT/3Z2v7t3qX+O4djxuOK8gz5dj1SFK0Cmlcoaeuy79S0FUMMGfQkVupwivJrJ0vrRb1XMtsq38mzCkAPd2BKvNa9v0CGUsANqodRzfG6x6+RdmjrnlNdLjEwZRK23ouNydZiLsl56f2SASSwy4HgeSL5USQ2sqvpRgYBHZs6LRQYaCA+FB3WbV8yQxMu/aEnSpC3cNbYZeZqosViUPVKwizyFVG3igbriVk3mXYBprpizWXMGqpE5CiESmJFWnQyHbCX4LEA6Z6WL3QeWp24G747kKxlTrR/d3+py8XY1M5s3Mj+GC1mbKBTxEumvnFpdsJuoaiWnHnNYdoiKiCz3y0mfTHCK9EaPseUfsuLjlD6gibPnC9SVfMHm+8UfVXFLVdbF1iMIQnyeA7w2m0u7F8VRE46CHSOfl8OX0vCXxvM1EtW3Az/iiwuOiMdVMGBMqTgqdUUenceeLRgch53OI9C1UxPNSHCLXCGtLpnyPniG0RntXBCORyuyVaA9mzqOoO6hEG5JDpCh/QP1ephImuYI1iDoJwQdD9ZyUZfpUeTJaUnXAINLuGoPnVMuFCN+684YMIopDwnv5i40hld4Qz41uqlQNaTzdtXMb1FKZV3KPsvQxbso6tdOLp2iPk+gO1pGlxfNSO6586YWglgHUJQbUbnl/PC8EYTB0OZWqE4YSA70dIW+wlrhs3iQpw2icUJjmnAWeJ8ngIQqUCelI2E/KqCMMLFEPUQRyucWHOXwlbkIoQ58qLikebyUI6eKz5DbepryybQluiD+LKvLEeSVvDVHuRNmjU5t2T5dJkDZShBGWK1iDqJOg28GLOHJ4mfQ319AxKRh/Duq5hUNrtBfG/zss4zdQNVWqVng5CGOilUjFFedmqqXkzs//nsmjQ/FlfAXD8cK0JfysMFPmlQv1Dk726AFhT1eeuHvzdoOhoQTOjykbzT+nR1IlUsDlOjE8xdaJeq3HIuQNNoTMKLngc66Vy/PDUtQ5CwOGky4UFuy9qA+tyVwjU4sP30Nk4kvpX5wScZmRZSaSpZWti4KthjRrDRZwpH4vx6ENJ5m3Z/bUmD3f4c0P3eLDUIogsNZIRM95lDJ2DURuU5mYXMAaRJ0ETviqMC+G2d8+yP8OMxSms5BDmW3MrDUtd4mxBqlfGNllOrOTMlS5LQh4Q3ReLo8ImKAfEtdDRK1BVYGakpN2ZkoelNmjA/hrE8v+K8/rtjOROESyXKFARqcKHyqb7BKGqeiqVnkO8oXwK7fy777IFumpCD7D3M2PSi4ajYTHIzwTLrT6xQ2ZtdKen1CmnJZ8nZZrIgysaDTi3TvNVAFHBeFXXawyHDKjjEQxs5PKbmtN6A0Y8buUJ0lsZ0Jl8olGnRdaJbxrfH4nt3QGrf9iQSORrH3EM66SBt5SrmANok4Ch38DAP1L8o0yXIUVfHh0HI2QkWAwOnTjA0BpgZsSnjBUPua5oP3WHYZ+bIEQnIlD5IIKSUn1P4jQmrkIpRv2EwwYZhgxolhvcBeaXoc8XqnQt43dfoT8vfxrEicUkZJUTe4uaQ5Zb0dRoMK9yTgxyQXD41QIRvd38Jzu/ar1/DCzzNz7upno2yYep4wJVTaSeq2+HCd7Um6rpD8vFc5LzyXoDaNDnE0Monk84XjhQVU4Wyx1QWbeiUYHo7iq6CGnrrGr66mmvaaWHCKHyLbu6MEINb3TGCfui0z1HRdhDhFv18glaesrVZvl3KKBe1uTpOtT1ciWU4fIVBLAb+7KM/5M3hC6uauwQyKMDiXnh9hJGT1EqmsXEPMNoiSP32QgZMqVqvUvrMI8X86P8Yd/WLEyrWNDZloEDRiTF8YkVxjYEKh0DPecwWdJq69cjw7x8geEvm0GknYwtEZlNqVrLpnrEMm90VReM9kIS8vpx6MI32k5hpcr6qese8akIWRGF2YMe83UJQsyz7AoR+iEpEEutFkluFcAXUtOLCdiSdU9GKEaPpofUTSITA+Ti1yl3ZvkOARPd/7NcUPILBpWMDSp2pRlJhtEJk+SC6p6sykbQ1WYkVK6kjeM8BDFBQ4RlXYvZgUGDUA3Y3Gv6Kmj0u6N2WiCh4jIMlPxGZRdqyUOEbTz6+0I9kDk8gr1vB9/vPQLV+FxYPKWQp5qnbEWIFVr15AJEe01eJI8jxPlIfLua0OzUEVdI7IIZdwU4ud5uQoCxVVVY6UrkAeMPypkJvD7qPYjiZSQtWYIN1IbQtHQcQgvb5hArv+9AF7Pu4QhizlXsAZRJ0G8CagfsCBmlgu5tJlcI53XJGQ4MUNwKv3nNh5takv4GVpMLwfFITIR6GIBY8IkR51TVOxUqE50t1O1dHwCJe1uV3GIVMsIeteUffEyXC7H8V8w6ka2YshMPzexUjVF3OR6nKRwo23doUUoxKXzrjBaAwXH0xo6TA9RWI7WV+5LU0XuBoTQsrEIpbuZ0tdSEg3uOPN+JStaB0oRxAzGpOvl0tMeItJ4Jh6ol6FHeKrbBGI4FQozecNEOYqTFOwfCfCiAZQeEuUob1NC7LNmSdU9D+JumvoBxRu0o7vBXIfMgoaXykPgeoiaWpNkGmuQfKjycijXYCgJYM5GM3uICmLhh9PUfJHywogKywWVKtxGcINEuTjhgi4piHkGhl+EMiQm7JANfYsEb1ic2IWK3itOE8xEKmXT7gkEOUQmo8P7m2E4mdLpXXB5S/rQWnb6yuRJ8rlG5rT7dGFGc1akMVkgxPmhDZi9BqK5R0g3Ec29Gk6ugaUK5wlGHRkK89dKGX8ih4hsj6LgRlLp+VQTYPFYG2U4CWE6S6ruwRBvKF37CUC+oVQ3NaAKmfE4RB0NmYW9K2GZErfxaDxpMBJ43KAQb0lz7ULVttlr0L+s0/Mjir8piJsUqZpbYqCN4AaJ5/D5UmGZSCTi9TzbuLNJOzelR4fYhZrkVEXiqErVblYg0Lk7vZ4KTlNogB9GFw0srcERi0r3nU6/cAvEhnlLuvF8IwYwGxMtRLgpT+FxIPk3CSFZQJkCnz7melt1Xi4vU87IIZI9SSajk+IauTIpx99gqgxnsYUQRaoWOUQUIT3mbWp9faX6zTyiecKsSwGaLC/2haRqxOUK1iDqJIg3AaX4xRtKo68URdjM7nGASkXnyYVDZuHbxTWIkimHJBYGs8d0N3VB6JwGxUEoSUDFg6IfTrKSrEDIJJvARmXFYXqpmTJZgjsu3e/lXv97XvtcKycRwxkGbFxyy1O7VUPF2QDRklpHb0bQQxT820WQ4Bz82z8ueqD16l7yJDE5RDq5ojyelytoKOmTSjJeE8JIiLE3NWEvrzosFTBgtNckJssZ9JUXMjNsaqnQmpSNxshaS/cjNHtvk0m6CXCwdIB+PHnzq7q+6nIKtH6hMupyBWsQdRLEB4iyaMUbnssX4GajaVt3MOWC81G2HynwSeEe+ZaReaW7JNmuocULwanlOOR2qRs1w31r8obkBYw/Uz0oqmmruIZs004pZRU3FJeUs3EY3cMTKZL35RrTUnFJq31CCG5Wgn+7EMtJRCN6o0MkaVMvElEn8FP4mR4ipkfb1POMw4MBBA+RIe2ekxix18BvytbQ4YbgyGKVwjloOX8j5RkTBDdIMhIZRSh15w2SqnXFKt1zNHkV0mmdS/GbcgWrkjoJkoeIUESSh4hLqma6tLVES0ZtHkDlIVJb+uFj4bFc97VXuZnZpkTfjy3GGi84Z1MNJ+8hNlRqdTOlqB2Xb1wpT+kbdR4PSi0XfAHoHCtXzhgj/c0NhZFeKUGOcsvLRHNCOVsPEYmgRyiYdeaiWDhemBcjyk74947O2wT4zxPQcVJ10FulM8SC3zdlmbkweXmp0FrQMAHUL1iPVN2akL4XhOvRNnmqQ4aTQddTBpZ4nZoYBRzFzQpVwymZSpElC1QNapUNpANyJu4aZw0JoZyCbd3RAyFlmTFDZvoYf4T82x8r4A3RnNZ183rzY4abdHJ9i/KMcuE18HaNbGK45k7mFsgMdmg2ZUZQ4atsjb8WQ2iNQwwHgIMGlhrlxLlRHidZEemJmy4PxNQEM2j8peenXEavRrCQaJHWQyQYRPl6NS4aRDrjKijHNog0D11wDdxq2/p6ReZnOC8W9Y7vJeoaeY1nDfWFvKwwA+Gba+j4L39DCC7AIdKl5/vp/kS4SdWmhCBBi3WIlNwgRoFM8Rx+VqBhrWTYj2f85QrWIOokiC8PMmTGSLsPhrh0BL+gwtKm3TPlgg+Zbn53/mi8/D1Go8mg0vTnxnv5s4tLcg0iN3zF8BABNE+BW4NKzKAAqN+Btwa3FpF3XoVYtgRysdCdurlr+pzxhKlZrMwrSM/PWkRBhLhBOg6RcDzI2dGNp3vmAPnFowvThesQ8TxE/JCZ7hnmGVjuvF3vrWq8wsBLGKA3BO6mhtugVktID8gZCziaajMFwk1qoy7jIZKqcquMRDc8bniGPc8P7alx330+qbrjHiLAXMAzF7AGUSeB7yHyP+Nyg4LGgHc8x2n3XGOif3G+9DcVz3ahI4GGPURKMTYPitNkF+ARocW5UbUzgkadnmgZmBu7dIBSLBQSMa4hTni5REVEkeUza0in8WfOS5Q2MNVm6u3geoiKuR4i4TPKcBJ1QlGBWq69afeml7o3vjaTi0kFYITWXL3jekLS8zBv4DraQkV8TtJytIHVRKTdp8cze6ZUITNq8yNljxEVrVtMpQOCITNDKJQkhgvHTAU8cwFrEHUSuBwi8SagQibiR1qDiJlOHzacdHPjvtgD4ynrEMkyul0ol0MUzpRTioW9K4bwFU2qDntXVPqKY5iI53Sh5xDJH3D4IunxTEYdUYRSWBilAOU2AmZjUipFYO2hEMSNQiwa0b50ipiGjvgZHVoze5yCz7me8M1s8cH0EAVDZjr9x2nTo5qzanrsTSjTIArSFEy6NOV5puioQTNB+pZCZlQoLGDAAJrQmhsKI0jr8ni0J8n3mum9XNFoJOQ1s6TqHghuHSLxoaVcgeKN3FFjgh8ya1/4iuMh0imY0Bq4RhiTf6PLePDj3vqQmZiNRu24ivODoauOeepCa+hA37Y0ETL9b8rLJf5e3IwXypgUuUbU/Ho7RENH95yn5XLrISouMIfWghspfUmAoKHDDJlpO8XzjJPgdVC9/EOE75iaGMz1ELGL5ga9xobQmgvTZorSQ+Imj2rxEeT86MYLZY8ZOUR0Lzsvk6/V0OLFy/ijSxvkAtYg6iRw6xC1JxstuNvwjue6DlGwTgizPok6/sz1EPFe/lyjLvh9027FlNrOqaRdUmAmmavG0rZQiQZ/L6VY+Hc1EMipfnHinMkiccIaKBK56p7V/Wa9GTLnhzBg2BwiwSAiDKdSwSAKGvQuRDIvNb+gYaKTY7cCCcjpQmucCtnBuXF5m9oSA6GNmUaunQYWpwJ5en76Z1Pq26Y0dGR9oJqH+N2WhJ6PJI2X4JGq/dAavVbKG5YrWIOok8CtQyR7iCiDyP+M613hcoh09xc3u4nTfyn4UPA5REwjrAO1lABeplx6foFrwnDLa1ujMENmwblwQ2b68GBmp0d4iMSXn0dSVWaZ6V3w0jlDZHnl1Ho9+B4iQY4bCiMMrBKhyTQlJ4XqNOcNGmhaOWa9olBSCTNkpjKcwsUlNbo0cL9qE1lCBkxHPUntNNgUz6Z7/7QlxCwzvaEjNo9We5czHidTqxXXQ2QIcYVI1YZrt9fQLy4XsAZRJ0HKMiN2wuJnbA8Rk1StOy2XkNxetzEnJq9T4u0N++mijcHjuh1cWYAYriVzM4yOaDQiKXu2UWcgfPvjq+fGCZkBvoKiQlxpuaCbX+1JCn7dROam5tbbwTVgpJAZYThx6xBJHiINqRrwexcCek9S8NnWyYX6tmnuiaDhxM2yVenJaDQiHefSD7j9IzvKNeK2ZAmH4PTPXMrxQ9Xq9hg8wyQcCqM3Zk0ENwgQSxZkDB02X6rzdEeeWcSiPeBmmUmVqokfmmUQcUNmAQXDrfLM9ThxYvLc1F4tMTzHYb+SgqAx0UEvXCzq921jKj/t79DuMKJSzDsvlXaflosCoOu1uHJihoo68453z/V2iMYIpfiL8yJo2fABknt2YnveaCST4xFThCX7FEQ9uU0DtiM54wilnBjmpQyskgKzwRY0zHVyXA9R8Pt6DxHXkxT1vCFczw+3iwDXe88NwZn4N97fTO8tlY1G1W8CVB4dg1wrbTgFaziZwoOm8+YC1kPUSRBfMtyQGZmNJobMNA9TcLfe0XBTiM/DNIh0cxNPow2ZBVPRmWvoSLd7ABgxoET627RLcsEpYkcRvsXp6MN+vDW0N6OO+/tzQxoqfcU1dHs7yop9wyQppIaLqK2txfcnHYutj12B7c/cgqdv+HeMHDkStbW1Ibn/mFnlyd03/xylHAAU5wEtGz7A3rWvYf3qN5FMJkMygOwh4ho63NCa1uPUznR/PdfIPw+XoB0skaGbC9d7xfVMdcS7rOQBKYnmPA+Re01MBRJDBpaxlpJhvKAhZtPuex7klhx6OdFY4lq+lAEifqZPRZe7W3O5K9yQjg7iDoCdKZfjLDPdXM+dNIo1Xntc6TqDI0hS1V3GoAGkO2fwPKYsEFOj3fbXYgn/thwyuoX8slYZvrW1tZg1axa2bP5KOr5p0ybMmjXLM3Zcua+3bCblXNmbzpnqGU6/vehMreEk9i7UGTrcxrPhRrYd9RAJhk4syuLa6cYKlw7omIeIy4PiUgs4hHR1P7LwMfd6UJ3uAX8Npmwv93fw0+51a2CWZwgYo5ZU3QMh7nbILDMmhyiZTHg7uL+/8VftDi5fesHqxxMfKJ3i4O5WuOEPDjE8VAySOTfdFIJT1r38B/UtxKC+hcq5igi70s3zozyEBQw5rocoGvAQmrPMXA+Rem4hDhE7Wy4sE4tGZK+pNYiMEEsUAEAymcTcuXPhOGHPkXts3rx5aGtrY8klk0nPcGr4eoskpzKcAKA43/ckrX1npVIPxaIR6fnRcZKCmyJuGr9uMyUaD9SmkSMX9F6xvVJMOoO2CGXQIOKWLFDIRSKR8GbFUA1aN5Yo5zg8OeqcQPs90DbtvgdCVALUC1F8eeh+6NraWrx101neDm76v07V7uAKJQ8R70XMruHTwZeYeMPrdo1Br4nJy+FCt1axdhBAP0xiphmXQ8RRCtSGJp/xe4W8XITLWCr0aQitmeqJcOvEhMKcjBCctYf06JsJS33zoHLp+IoVK/Dll19qv+c4DjZu3IhFixax5JYvX842nIC0Hnry/8709NBFZ32f0EMMrlGokS3PW8MxTkiDKOBJUiE/Jm8u9NW22+f5YRtOTI8Tl5Op4umEWq0YPD8uuBQKE/naJMdtbp4LWIOok8D1EIkvGZWnxd3Bte36Wjqu28HlM4wJQHZX6sSCDw9l2HEg9Uti9lXiZspR11icN3VNxN+MnQXCeIi5rVsoD5zMNdNfOw4nzX3BuKXwTZ4kbzzmS4FjYNksMz0eO+/bmDPpYFw380jp+ObNmzXfkPHZZ5+x5JYvX84ynFasWOHpoT312yQZnR6Sstu0YansPURBT6MsZzZ0guNRGzNxPtyGtx3lEHGrcgfT87XjSZEAXpkQEzfIm4O2lx1v08g1dLj0iFzAGkSdBNFDlFLswFyIL8vge5PrIhfd1sEHQAeOJ4kbMuGCU207fV6GlyPovSK9JjyDiCPHfoiZdajE71O/F7delVQhXTNgWVG6xIDXyFHn0eH2ZAusgcPdsCEzPY46oB/+c8ZYicAMAMOGDWN9/5BDDsnpfDZt2pS1HiqM+aG1N+teV4bWggYQJz2fa+jQHiKenHheXdiPT5ZmGjohz4+uXhtvPPF6sQta6opLMuVChlMHy45wmwrnAtYg6iSID3eQCyBCvKeCPzPXRb5ixQrvWHs4RLoXdrgKa0dDZoKHiKiuy/EkcDO0gp/RmXz+eTkEYl0BM4DvIZJCa8zyDNQaYpLHSS0jZjIB/ArZnGtCFxelvaEWNCZNmoTKykrttYtEIhgxYgQuvPBCllx1dTXrvF9//XVWeqi2thbv3uyH+L87XR3iFw2ONO+og6EwNofInGUWPK/Oe8U2TEKeJF5hWm6JAU7WLregZUcb2YYNHZ6XS8vbZGYZ5gLWIOokiD+u2NAyCGnnH/ihuS5yUY7DvwGCu3W1THA+HTWIOFlmAM+7EolEpPHYRkIHjQ4uH4kdumQasJ3hIfLG1tU1akcojFoDN/PSQo1YLIaFCxcCCBuU7t8LFixAQUEBS666upplOA0aNIg1v82bN3uhtVZGiF8MpVGeH07oKj1Gbj1JkodIYxAFj+vG48qF0/3NnqRIhJcEojOaOD3gVHPpaGiNW+uJm+2aC9jCjJ0EUclQHiI4Ka9w2heDdiJ50iFe4TSui1yUyw94MHSQ0/N5N1hHSdWc4pKAvAYT/yZDgyHXwC1+KX7GeTipMgmcOkTB8ajLy/YQiQaRRo7ba02+HuommACPBwW0757bX7Brl5+d0xFMmVKDhx5agvnz5+Krr3yvzfDhlbjxxgWYMqUGu3bx5PbsAX7724U4++xZiEQiUkjM/a1vuGEB+vUrZ82tpGQwLrzwHG1oLRKJ4OKL56G6eiZisRgSbX7RyHjfctTX/6uyaGS81b9v8qNR7NqlPr+TFPWGXi7qCM9cSi8nceiSarlkSn6WEq0xtVybLBdvUY/nxOX1tzZFsUvxqERTsvHX2Kh5hiOCMam5diknYHBorl28RZZzdNekTV5DMhFRnzchj9fWqpZDSpZrbdb/Zio0NvJlrUG0D9CWUBtEtbW1mDt3LrZm3NF3PAP8ccHlWLhwIWpqajwX+aZNm5RKJhKJoLKyEpMmTfKOFTC9IVzPhIiOkqrlkBlhEDFq86THi8KtpEzWeuKGzAQFyOk1xK0sThtEXEOHF5biZJk1NLdJf3PqELHXyvQQ9TaD6MkngeLiXI1WgyuumIlPP12BXbs2o1+/YRg9ehL27Inh0UezlavBuecuwZNPzkVDg2849e9fiVmzFmDPnho0NibRv38lGho2AVBZdREMGFCJV1+FZHwF4TgONm3aiOuvX4G9e+tD5zzk+bvwwx8uxHHH1Ujf29zqv6bamoNr9LG60b+/GnZEtXKbtvsv7A1f6OV2N/hy778TAz5WSUWQF4ki4aR1/Mo3otj+XliqIWDovPxiFB8UhOXWNclyf/5jFIUK3faJMDek9GtobBAiFU06uQiiiCCV+W13aq7d9rg8kU0b1XKfNctya9dE8eimsNyHjbLc3+qiaHg/LPfPHbLci0sjeE9x7XRobubLWoNoH0BlELmu5aCh47qWlyxZgpqaGixcuBCzZul3cAsWLJB2VRxuUEhuH72bJFI10VeJW8OHK9euNiqM+LjOjQ7IlW25YSSul6ujHqIBJbI24aTJk94wds0lcW5asf0SxcXAgAG5HDGGgQOrcyJ30kk1qK6eiY8+WoGdOzdjwIBhOOKISYhG3fs7hp/+dCFuu20W0kxHUWelf9NzzlmAeHwbOFi37mn85S8LETSuGho24d57Z+GSS5bg+ON9oyjeHEXLm2lPUt+BI9BvzHeEufnol4oBO9P/LiqIaq936Z4osDfz7yK9XPGOKJDZO/TvG9PKFXwZQyITBejfN4oBZWGZvHgMEGpplveLYkBRWG5ALAYI0caBA6JQJeT2i8eAjJekIKqfW+F2fw0Fefq15m2Moi2V3lwWF6jHS7XKaygpVI/XPy8KCLdC3xK1XJ9ExPu9AGBA3ygG9AvLleyNAHv8v8v7xzCgMCyXC1iDaB8gaBCZsscikQjmzZuHmTNnoqamBkuWLMHcuXMlYmNlZSUWLFiAmhp5N5VLUjWQfsHqWghkC7eoW3LPTnz8XiuSR81Uusi5Xq78mNmAAYJEY17IjNN/rLxUv03hlz/g/w6c8TjG37+fMAr3v77eOB7XQ8QlVffmkFlhIVBa2tWzoBDDt75Vrf30xBNrUFi4BPfeOxc7dvh6qKKiEueeuwATJ9Zg9erlrDO98cYjUHuaHAAR/O538zB5clo31NXV4n/uvRj1O9Iuhu0ALn7mZsyZsxATJ8q6r3+zz40ryo9pr7eYMVZUENXKleT7r8e+xfrxCvPy0JSMAwD6lKjHy0vKeq5vaRSlCoOoLCG/kvv1iSpD6aVFMq9KPzd5s6yTK4jGPIOoMF8tlwh49YsL1XJ9k7JciUaudLd8TfqUqK9xsM9kWWkUpVkYRE1NfFlrEO0DtAY4RNlkj1VXV6OmpgYzZ87EihUrsHnzZgwbNgyTJk3SGBM8zw9XLi9HBlFtbS2emX8B9u5Mbx0uewZY+JtKLzwooj0eItJwYoTCACAC0cAyc4iCnhadHN9DpBWTiI+Ut0Y2nNQyg/sWYfyB/fHuhobMHHQcIp6hk+vfy6J7YuLEGkyYMBNr165Aff1mlJcPw9ixvh4aO3YSBg6sxI4d+tBaWVkFGhu/VnzmwsH27Ruxdu0K7N5dj5tumhUaa8eOTbjpplmYP3+JZBQVRn1OUuMBhyJ52HHqRrZ5vuFUGNO/AotjMW+8jdE4jjz+VOV4hYK3Ki+i0RsBj5Y2tT0mj6UtYSHMm/bexlhyEl1As4ZQ1qlOLnBcd97gcV1z1/zANQ9ey1zCGkRdgPZkj8ViMVaaLKfyMRAk/dJ8nlYNB4oLbnhQPKc/N56HiB8e5L2IdXWNxC7j/9g1HMnkt9SGKbdSNdMbJu70Ohoy447HDZm1h0Nk7aGeiVgshnHjqrWfzZmzMGPEqENr1dVn4c9/XmA8z/btm/Dww/NBeZLuu28eJkzwPUmL/+cXaKhPx3T+CmDNk9cpPUlFMd9w2t7WgOQBh4Se4bq6Wjy/+EI0NWwFANzzDLBkYKVyvPyI7/n+ogA4cPy/hcaLRiKIRiJeTTqO4UQaOoIcZSBIchG9nGQQMQ0YvqGjqeEUMhJ5cjrDKRfoZZH8rkFwd92e7DEuCtsRqiHDTR0kGLWnuKToxaFOz30RF+XzlIwI1TWpra3FrT/7V6++yvuLL9G2LiiImRUMwPckFTJ/L/naEeMxPE7csgYiX8pmmfVuTJxYg/nzl2DgwAOk4xUVlZg/fwkmTJjJGqex8WspNBeG70mqq6vFTTfN8owhF64nqa7Ofz7r6mpx/xWTvGf4qdt+jHPPHRmSuemmWZ4xZBrvrVtP98a77fpTQuO5SAn9KD9Zqy5WGfQQ6SAbOh33EOW3wyDSGTpBw0ZnwHANnQKmIZYLWA/RPkDwJdGe7DEuuLvwQna2VMdeXNmGBwF+Bhw3VCO2COA+S8HfLHsvF89TI69BP59g+wL9vHlGIuf3F4u6UfcBt/YVV25/RKx1L2Itnefq706YNH46Jt61Bmv+8Qbqd25B+YChOHLMvyAWjSGZSqJi4AHYvuMr6MJqFQMPQP8SBTNZgfrNn+Ghx67WjJXxJN07FxOPnYq/vfUsbrr1xyFZ19C54tLf49vfOgX33Xtxzsb7l4wB+Mbfn8amey5GYs8OAMBVz9yCioEH4LxzbvZkAKCwtRmpz95Gcm8DUv0HA+MmIKYwPEriLShuawEA9Em0ItayV3l9+sZbWXJ94m2eXGm8RSkXA1DS1uKttqRNLVfU1uyNBQDFGjlxDQBQ1NqsjFaUJvw1RCMRFLRmkTaG9LPHhTWIOhH9S/LR0BTHt0cNlI67BdayyR7jglv/RgyZcDkp7UF7woPckBmHBA3wPUSi/SB6YbIhwbu/mey90p5SNpxIj46wBmabEm7ITOdxymN6iNoT4uxtlaqnXTwcZb1ryThJc3xhCvhx5t/hoJqDhQ1fYsCin+NWxjkGLToX28mIvoPtO75E5Ef98JBWzkEEwMO3noWJUeR0vF/nAc86wI3JsIm1Y8cm3HjrWfh9DJgZBZ5OAb9KAm6G+lcALnjsCtyc+VzEdxzgUAfYAmAogH+JqPXMCdRS2iH3FlPu+8xz/pwp9yvxwB3MSWTQmAUF1hpEnYjaCybiyXe+xJxJo0KfZZs9xkV7CgdSu/+Ouic7WlyS+yKmwkhFTP6N+I4WX9jt8XK1i2hMroHnNZNI1RSpnnGN5XuEcLczSzh0RamH7oLh/xeAIquo12ItgKUAGv1DThmAfwPOGgsgBWCB/HkIZcD8qQDC0akQTv0O0sQiDRwAXwI45V8ArNDLZTtevzMBPA3lOtz39FmlAKYDeDIsswnAWUkApwEYmzmouHbIXDtPxsJHC4CbeKLWIMoC2VabHVjQB+dXHQEkoKysOWVKDd5/fybq6lZg69bNGDJkGCZOTGdtZFOJU4RYrbW1iajqKlQJbdobwS7NnRAVMq90YyWTSY9UGOszAPX1Pqnw6KMnYfjwSmzerA8PDh9eiaOPnuSPn/TP2dqiqV4KIOL4ctoqpwCiAlWuuUkvF4/7/xZlPvuM22V8M447Lv1v8frqKrUCcrVWSi7qxFhySPGuSUSo/qqr/JqMC1aLQ6xBLNhGyIn3JlLEGjTIpuKsRTfHWABHAPgn0jVm+gA4CD6rNYr0C/4JYox/A8AtdsnV21xDnTveP0Ebdch8/pxBZinS1+sjqK9JY+b46bBGUQdgDaIskNtqsy5iAKoBABs3Ao8/3rHR1gmVSZ99JoIyzS/8jwb/5fTM01H01cjt3eOPp6pK+t57teGKs39ZJFScjWHGjIW491515onjAN/97gI8/rj/whcrk779VgSJj9Rz+3qrL/fuOxFEPlHLfbnDH/ulFyJYralhseFr9Vo//pjn5frww2FoyxRBE6vmrv88oq0k++lO/5xbNquvMQB8ud0f79OPo3h0u1pu21Z/vHfejiC5Ti33eb0/3guayq8fCffIrp36arhrhd4Cjbv0axXPWV+vl9Mhm4qz3Q2LDvkKFRU8XkyvwnHEZ8cAfx/5NB68/1eZVP40BlZU4pyf/TcmVM1EKpnERc+OxQ6CkzSw4gBcOGUxrl9xinE6v5nyDBatOT9n49UM+RVqcbNRDqZaOY3Ab2LPYNEr52MHFGWf3bm9egDuOn0NopkN6Rubv8CjK5YguacB3zzoCPys+kzvMxEPf7wK79dvAQCccuBhOHF4OKoBAP/13nLsbE3zeX48+hgcVxHWjY7j4LK/v+BdvXnjqjCiNFxxsTHegmvfWe79ffOEaYgpCOLrd9fjzjVvAgAqikpw+bGTNetXY/v2RlyI4SxZaxBlgdxXm809SlujXgXT8v4R9M3XyTloWZ326nwdy0flkVOU1V8jX/nen80FpVIF2zffrM0YOnTF2ZNOqkGfPkvw0ENzUV/vG04DB1biJz9ZIFWlBYCSvVGvMmmfUv01L26Ipd2hAPqURvSVaYXx+veLYIDGqC3YBU8xiWN961uTUF5eifp6fX2VgQMr8a1vTfKI0WIV1uJCYm7NUW8HWVBAyAnVdUuK9HKFOyPeNSklrklxUwTYnf53/34RZdXc0taIXw03Xz9W33gUaMjI5RnWmjlnfl73f5ZyicJoKYpi3boyY7fECd/5Eb5TdYa29hFiwJw5t5Op/nPOXYjxx/ybsUZSRUUlxh99ck7HO+7oaah9kmEQMbBuzd8lwzAMBzu2f4nP1r2LceOqUVdXiwfu+Q807kx7uF8E8M5j/6UsHdA3vy+imYe4ONZHe6+WxPq4KgElebRcczIBACiN9VXLOYWICnHk0ry+yrH65iU8uaJ2PEeF0XA2nw7WIMoC3b/aLFBU6O/W+5ZGUaowiOrqavHo4ouwpyG9I/j/nrkFAxU1NurqarF60fmIZwqpXS/ITZgwEw8/PBfcirMnnliDyZP1Rd2kNQhZYUWFEe01LyvMZ8mVFPrnKC2JoLRELSc2g5bHiuG88+j6KnPmLEDfvv4AJbv9NRTk8+aWn6eXE6vrFhbo5USeDnVNCgv8+6RPSRSlCiOxWGiilB8j5ibIxSi5AjmzLdtnKZuKsxb7D6jaR4Cf6k9V0QZgrJF07rnpRJZcjnfUUdU5KFaZHerrN3ulA9pT1HJLcg+SQw5U6ubimK9zKX5pUV6+ZxDp0umjcCSqRfLb4fpNAJAX8es87Rk0Asmj/6VdCUccWINoP0Mq5Xt0PiotwrHjqqWbh/ugmOTOPPMadp0QV5mZFJsLbu8xseIsWa9I8HxFCZKAI1y71WWlksHGVZLeGgTXL0WCLs7zH0GKvsCtVyR+RpKvGXIxRm0SgL9W0R3e27LMLDoXpirargz3Gc7leCbD6fzz78L99//S6G0aN64aTzzxX8Zr0b//YCxYcI5mLHVRyycXX4S9mQ3yo88ALzygLkJZJOgrqk5SYcQvYPtJcR7Kj5kaeg8Fr9u5Ly5SbsqDrVvOfVrduiUXsAbRfoS6ulo8LHh+rg14fpLJJO69l/bq3HffPHzzm6cY5Z59diFrTvX1PEKyiJj0gqV2IXksOXGHonth19XV4oW7L0DLrnRrkf9UeM04StJFHuOcAFAsGXVENppQZZY0iASzisoPFK+XzugUj1PVcEXDiTI4xWtizSGLXIOz4crmGc7VeBzDKRqN5cTbVFFRCQDszWq27VGKIr4naWOeg9HfPFlZ5fu9ReejLeP1uimgS3O1KQ/OLRewBtF+As7N07dvOetB+ctfFhnldu+uZ82rvDz7atuiQUTWIRINJ2I8sSKqypjI5sHjermkNRDGWnFM9BARBhGz4KL4GeWFEeX0BpEQMiM9RLnzSu2vaG0F9vLrw1l0KmIYNaoaozK84ZYWWjoX4x1zTA1uv30mPvpoBXbu3IwBA4Z5fMy9e9OfX3KJnmd5zDE1aGkBfvKThbjtNr3hNHv2Amzdug0cbNq0CX/4A90e5d5752HcuJmIRmN4881aLP3fC9G8K13B+/ZnbsHvyytx9tkLPR7om2/WZuan1qVz5z6O3/3ul8ZzHnnkKfif/6E35eLcKLS2kh9LsAbRfgCu5+cnP7mRNd7mzZ+x5Pr0KceePTs1503vVsaOzb7atlRLhzB1JI8D9SKGH4NeV5yHCYL7lnvtXPcyF3kMD0xWa2DKcUNm8nfU11icG+UhyjMYnKrxKONvf0RPzpCzyBViGDasGm7JtWDZiUMPrcF1183Ep5+uwK5dm9Gv3zCMHp02mnbu9GXmzFkSyuwdMKASs2YtwKGH1uDjj5ezZrN169eS8RWGgx07NuKtt1Zg7956ZQJNff0m3HbbLMyZswTHHDMTDzxA69L7778Ie/bQzX137NiIP/1pEXtuhx1WTchl9+xZg2g/wNq1K1ien127eMS9YcMOYcl973tz8eij18BEUswWkueH6yEiQmGL7/kP7M5kWgTdt9xrJ3KhOBCNOrISuLQG/XhcA4vLl5LnoJbLj/I8RFzPT57EIWJNbb/BD38IlNmsewsj/DIsOvzoRzW46SZ1/ToASCYn4YknzLXfpk8fhKeeMs9o7NhNuOYavScpEong+efn4ZRT+klGmkqWNoZ8lJfzNuVHHbUZs2bRMo2NwKWXsoazBtH+AC5Pp6xsECsGffLJF+JPf7rVKPfDH/4nDjzwKDbRmAu5HxfPQ6R6+XNCYfE4z5+aLRcq1h6iMcm/EY0O/TURmzlyicu6+RUJmSfb94xFcuRYNdeC6fmJMXlV+yP69bMGkUUuEcMpp1RrP7vjDro11O23L0B5eTnrTHv3fo2vvqIr9W/atBFvvbWcOXczxo7lbcoPOWQY+oVLHEnIRtVYgygLdNcGjRV9+rPkBpeV49/P+W/89tYfQ+fVOe/sm1CcirPkCuItZCNHaBoJmlDc5jf9K2xt0jYkLBaaAxa0NUtyyVSS1aTxkgsXs+ZU0ae/dh7qNfgNDnXNDQGgqK2JJSdekxJN80UA6CM0cyxs01+7glb/vPmtTaEGkm/8/Wks+t//i4aMZ+0FAO/84cpQM8rQWom5iWsoItaqQzZNGi0sejM4raGSySSryfigQYNyOrdBgwZh+/bt5DkvvPBC3HrrrZ3SAJ1CxFGdzUJCY2Mj+vXrh6/y0C0bNCYdYGwi3QxQ7c8BDgCwJi/d3yrYRBAAKgH8d6CJIFcu10g6wBuMxoUU/poCvsuox/VMFDg/xb92vQFPp4AfK5pRusv/fSf//jo0OsDwBLBr1y6U9RB3i6s7etKcLfYfJJNJrFixAps3b8awYcMwaZKcAVdbW4tZmZiTypO0ZMkSlJeX48QTTzSe6+WXX8Y555xjNGL+3//7fzj99NPJc9bU1LDmxun5mc0zaA0iBtwLivnovg0a14Lu+xPscZOCvo8Q2iGXK+SqceFqAIz4OE5DOmyfzbXjYF9ft2yhmx+zqSbmYd+vJ9OksScZF9YgsujuqK2tDXmSRowYIXmSRo4caTR01q9fj6effpplxJjOyZ0bB9YgyjF6hEEE9PwuyNkadRTWA3iIIXc2gIOR22vX3X8Han7FyO667UtYg8jColOQC0+Sa6BwjRjTObOV08EaRDmGe0EX3dv9GzSmkkn84x9vYOfOLRgwYCjGjPkXZTO/7oZUMomL/n0s0asn3VTxrsV+48LPGndg0dq3AADnj/kmDu1XoRiPbtIojpeLa/f3lU/j1pt/rDhnWnFc+qvfY0KVz8HZ0dqE3773VwDAd4YeiB+MVFtMn+zajsX/eBsAcN4R38Dh/dVx/Xe2fYn/Xf4HJPc04PRxE1E9frq0BtP8vnvKhXj+2buM67z4l/+L70xKu723NO/GLe+/AQA4duAwzD70GOV3xN/rmPKh+MlhxxrPI2L79kZcOGd4jzIurEFksb8gG29NR42YXCKbZ9CSqrNAj2jQGAO+cczJXT2LrLF67fKsGhcCQHG0GW0bPkZyz058GcvD2G+dknXTx5IC4QHp4LVLJpN48P5fgyJyP/S/8/GdqjO8eZbGYl7jQur+Kslr9eRK8tTNEuvqanG30Mxx8TML8GSgUrlpfq//lXLR+Rgy8GBvDqUxCGsoIdbQ5snlR4s7tUmjhYVFblFTU4OZM2eyDJ1YLIbq6up9P8kOwhpEFt0C3LR2V66urhaL/+cXaKj/CgBw9zO34AlFq41s+o91FO2padSeGj6qmkC5qlTe2Pg1ysoGobFxe2isNMIFN7nFJfOYJQYsLCy6J3qqocOFNYgsugW4LT7Ky4dl1Wojm95FHUW2Rh0g1+ahIHaG/rwAGDH+37Kuts2tVF5dfRb+/OeF4BbcjDFbqHD7u1lYWFh0BaxBZNEtMHbsJFbRyMMPn4h///dDNDLqVhvc/mMdRTZGnQupSrSGzVdXV4t7/udi7KxPhxQXPHMLfteOatvcSuUTJszE2LGT2J41qhK3CLkIpYWFhUX3QpcmAt999904+uijUVZWhrKyMlRVVeEvf/mL93l1dTUikYj03/nnny+NsWHDBsyYMQMlJSUYPHgwLrvsMiQSCUlm+fLlGD9+PAoLCzF69Gg8+OCD+2J5FlkgFothzpyFmb+Cr0vfM7FuXR07LLWv4Rp1+td9BBUVI+Rwk2AkOAqLyPWGucaQC9cbVldXm3Wlcs78Jk6swX33fYEbbliGSy99FDfcsAz33rteGWYUjboUcX6xCSxVgdzCwsKiK9ClWqmyshI33XQT3nnnHbz99ts46aSTMHPmTKxZs8aTmTNnDjZv3uz9d/PNN3ufJZNJzJgxA21tbairq8NDDz2EBx98EFdddZUns379esyYMQMnnngiVq1ahXnz5uHcc8/FCy+8sE/XamGGy/kZOPAA6XhFRaUXBmtPWGpfgWvUieEmJ5VCy4YPsHfta/jqkzeRTPrEYXMoDLjvvnno338wa34VFQdkNT/Xs3bCCWdi3LhqbZgxj+n5sSEzCwuL7owuDZmdeuqp0t833HAD7r77bvztb3/DkUceCQAoKSnB0KFDld9/8cUXsXbtWrz88ssYMmQIjj32WFx//fX49a9/jWuuuQYFBQVYvHgxDj74YNx6660AgDFjxuD111/HbbfdhunTp3fuAi2yhonz056w1L5ENkTuurpaSe4FAG8/9pusQ2EAWOFG9zrmmmguGjeUmRPrxc1dLSwsuj+6DYcomUziySefxN69e1FVVeUdf+SRR/D73/8eQ4cOxamnnorf/OY3KCkpAQCsXLkS48aNw5AhQzz56dOn44ILLsCaNWtw3HHHYeXKlZg6dap0runTp2PevHnaubS2tqK11W/62djYmDkO7LXtlPYBYhg1qhqjRqX/amnxPxk5chLKyytRX69/+Q8cWImRIyd12W91zDE1uP32mfjooxXYuXMzBgwYhiOOmIRoNObN6c03a3HbbXpi+CWX8BvPbt26DT/5ycLMeGoi9OzZC9CS6cPHmV82SGW8XMk9O/HVzsOwe+hRiEbD3qTWpG8QtcWzf5ZaeZejS6HTHRYWFt0fXW4QrV69GlVVVWhpaUGfPn3wxz/+EWPHpovT/ehHP8JBBx2E4cOH44MPPsCvf/1rrFu3DrW1tQCALVu2SMYQAO/vLVu2kDKNjY1obm5GcXFxaE433ngjrr322tDx5uaOr9eio4jhtNMW4t579S//mpoF2LWrq4tRxjBsWDWGZRxVu3b5n6RSSTzwAJ0V9uCD8zB79gOsM+XlDcOhh1ZjzpwlePLJuWho8D0/AwZUYtasBTj00Brs3MmbXzZ4771a6ZwrAKx+4lr88IcLcdxxgWJtjm8QtbY6gfmY0ROeP53usLCw6P7o8krVbW1t2LBhA3bt2oUlS5bgvvvuw2uvveYZRSJeffVVTJkyBZ9++ikOOeQQnHfeefjnP/8p8YGamppQWlqK559/HieffDIOO+ww/PSnP8Xll1/uyTz//POYMWMGmpqalAaRapc3YsQIbNhgq812F/z5z7WYP38uvvrKf/kfcMAI3HjjAnzve7mtL5RrrFixHKeeam6W+Kc/vYwLLzwHmzfrewgNH16JDz5YL6Xg19WtwNatmzFkyDBMnNh5FWL//OdanH32rNDc3FpEDz20RPotHMfBsTc9DwD4wTEjcM13j87qfI2NjTjwwO5d9VmnO7rznC0s9mf0qErVBQUFGD16NADgG9/4Bt566y0sXLgQ99xzT0h2woQJAOAZREOHDsWbb74pyWzduhUAPN7R0KFDvWOiTFlZmdIYAoDCwkIUFhaGjvfrB1id1j0we3YNfvQjXtXU7obdu3mE76ambbjjjoWYNWsWIpGIsofQ7bcvQHm5uOYYTjmlOoezVSOZTOKKK+YqDTXHcRCJRPCf/zkPP/rRTMFYE0JrRYehz+lHZvV79QTekU53WFhYdH90u9zXVCol7bBErFq1CgAwLOPnr6qqwurVq7Ft2zZP5qWXXkJZWZnnYaqqqsIrr7wijfPSSy9JPCWLngm3auqZZ56J6mp9FlR3g3v/cuRqamqwZMkSHHCAnHlXWVkpNVTc11ixYoXU0ygIx3GwceNGrFiRLn9QW1uLkSNHYutjV2D7M7fgiWvnYOTIkV7428LCwqLL4XQh5s+f77z22mvO+vXrnQ8++MCZP3++E4lEnBdffNH59NNPneuuu855++23nfXr1ztPP/20M2rUKGfy5Mne9xOJhHPUUUc506ZNc1atWuUsXbrUGTRokHP55Zd7Mp9//rlTUlLiXHbZZc4//vEP56677nJisZizdOlS9jx37drlAHB27dqV0/Vb9E4kEgmnsrLSiUQiDtKkIem/SCTijBgxwkkkEtJ3li1b5jz66KPOsmXLpM+6Ao8++qhy7sH/Hn30Ueepp55SrjUSiTiRSMR56qmnWOfsic9hT5yzhcX+hGyewS41iH72s585Bx10kFNQUOAMGjTImTJlivPiiy86juM4GzZscCZPnuyUl5c7hYWFzujRo53LLrsstKgvvvjCOfnkk53i4mKnoqLCufTSS514PC7JLFu2zDn22GOdgoICZ9SoUc4DDzyQ1TytUrPINVwjIWgoZGskdBWWLVvGMohefvllp7KyUvu5yvjToSc+hz1xzhYW+xOyeQa7nFTdE5ANKcvCgova2lrMnTtXCj2NGDECCxYs6LJQGBfJZBIjR47Epk16wndlZSUeeOCBUNkLFZYtW2ZsGtkTn8OeOGcLi/0JPYpUbWHRW1FTU4OZM3smMTwWi2HhQprwvWDBAonfR2Hz5n1fWdzCwsJCRLcjVVtY9Cb0VGI4ABbhOxsCuYWFhUVXwobMGLBubwsLPZLJpNbLxQ2trV+/3mgM9sTnsCfO2cJif4INmVlYWOwzuF4u3Wec0FpP8oxZWFjsn7AhMwsLi05Fd62lZGFhYSHCeogsLCw6HT2ZQG5hYdE7YA0iCwuLfQIqtGZhYWHR1bAhMwsLCwsLC4teD2sQWVhYWFhYWPR6WIPIwsLCwsLCotfDGkQWFhYWFhYWvR7WILKwsLCwsLDo9bAGkYWFhYWFhUWvhzWILCwsLCwsLHo9rEFkYWFhYWFh0ethDSILCwsLCwuLXg9bqZoBtyFlY2NjF8/EwqL3wn3+xAax3R1Wd1hYdC2y0RvWIGJg9+7dAIARI0Z08UwsLCx2796Nfv36dfU0WLC6w8Kie4CjNyJOT9pudRFSqRS++uor9O3bF5FIhJRtbGzEiBEjsHHjRpSVle2jGe5/sNcxN9ifrqPjONi9ezeGDx+OaLRnRPu5umN/+p26EvY65gb703XMRm9YDxED0WgUlZWVWX2nrKysx99I3QH2OuYG+8t17CmeIRfZ6o795XfqatjrmBvsL9eRqzd6xjbLwsLCwsLCwqITYQ0iCwsLCwsLi14PaxDlGIWFhbj66qtRWFjY1VPp0bDXMTew17FnwP5OuYG9jrlBb72OllRtYWFhYWFh0ethPUQWFhYWFhYWvR7WILKwsLCwsLDo9bAGkYWFhYWFhUWvhzWILCwsLCwsLHo9er1BdM011yASiUj/HXHEEZLMypUrcdJJJ6G0tBRlZWWYPHkympubJZnnnnsOEyZMQHFxMQYMGIDvf//70ucbNmzAjBkzUFJSgsGDB+Oyyy5DIpGQZJYvX47x48ejsLAQo0ePxoMPPtgZS+4U7Ivr+P777+PMM8/EiBEjUFxcjDFjxmDhwoWhudjraL4fXezYsQOVlZWIRCJoaGiQPuvJ17GzYfVGbmD1Rm5g9UaO4PRyXH311c6RRx7pbN682fvv66+/9j6vq6tzysrKnBtvvNH58MMPnY8++sh5/PHHnZaWFk9myZIlzoABA5y7777bWbdunbNmzRrn8ccf9z5PJBLOUUcd5UydOtV57733nOeff96pqKhwLr/8ck/m888/d0pKSpxf/vKXztq1a5077rjDicViztKlS/fNhegg9sV1vP/++52LL77YWb58ufPZZ585v/vd75zi4mLnjjvu8GTsdTRfRxEzZ850Tj75ZAeAs3PnTu94T7+OnQ2rN3IDqzdyA6s3cgNrEF19tXPMMcdoP58wYYJz5ZVXaj+Px+POAQcc4Nx3331ameeff96JRqPOli1bvGN33323U1ZW5rS2tjqO4zi/+tWvnCOPPFL63hlnnOFMnz6duZKuxb64jipceOGFzoknnuj9ba8j/zouWrTIOeGEE5xXXnklpNh6+nXsbFi9kRtYvZEbWL2RG/T6kBkAfPLJJxg+fDhGjRqFs846Cxs2bAAAbNu2DX//+98xePBgTJw4EUOGDMEJJ5yA119/3fvuu+++i02bNiEajeK4447DsGHDcPLJJ+PDDz/0ZFauXIlx48ZhyJAh3rHp06ejsbERa9as8WSmTp0qzWv69OlYuXJlZy49p+js66jCrl27UF5e7v1tryPvOq5duxbXXXcdHn74YWXDw/3hOnY2rN7IDazeyA2s3ug4er1BNGHCBDz44INYunQp7r77bqxfvx6TJk3C7t278fnnnwNIx2fnzJmDpUuXYvz48ZgyZQo++eQTAJBkrrzySjz77LMYMGAAqqurUV9fDwDYsmWLpNQAeH9v2bKFlGlsbAzFebsj9sV1DKKurg6PP/44zjvvPO+YvY7m69ja2oozzzwTt9xyCw488EDlPHr6dexsWL2RG1i9kRtYvZEjdLWLqrth586dTllZmXPfffc5b7zxhgNAitk7juOMGzfOmT9/vuM4jvPII484AJx77rnH+7ylpcWpqKhwFi9e7DiO48yZM8eZNm2aNMbevXsdAM7zzz/vOI7jHHrooc5vf/tbSea5555zADhNTU05X2dnozOuo4jVq1c7FRUVzvXXXy8dt9fRfB0vueQS54wzzvA+X7ZsWcj1vb9dx86G1Ru5gdUbuYHVG+1Dr/cQBdG/f38cdthh+PTTTzFs2DAAwNixYyWZMWPGeO5IlUxhYSFGjRrlyQwdOhRbt26VxnD/Hjp0KClTVlaG4uLiXC1vn6EzrqOLtWvXYsqUKTjvvPNw5ZVXSp/Z62i+jq+++iqefPJJ5OXlIS8vD1OmTAEAVFRU4Oqrrwaw/13HzobVG7mB1Ru5gdUb7YM1iALYs2cPPvvsMwwbNgwjR47E8OHDsW7dOknm448/xkEHHQQA+MY3voHCwkJJJh6P44svvvBkqqqqsHr1amzbts2Teemll1BWVubdgFVVVXjllVek87z00kuoqqrqlHV2NjrjOgLAmjVrcOKJJ+Lss8/GDTfcEDqvvY7m6/jUU0/h/fffx6pVq7Bq1Srcd999AIAVK1bgoosuArD/XcfOhtUbuYHVG7mB1RvtRFe7qLoal156qbN8+XJn/fr1zhtvvOFMnTrVqaiocLZt2+Y4juPcdtttTllZmfPkk086n3zyiXPllVc6RUVFzqeffuqNMXfuXOeAAw5wXnjhBeejjz5yfv7znzuDBw926uvrHcfx02enTZvmrFq1ylm6dKkzaNAgZfrsZZdd5vzjH/9w7rrrrh6VrrgvruPq1audQYMGOT/+8Y+l9FL3HI5jr6PjmK9jECrXd0+/jp0NqzdyA6s3cgOrN3KDXm8QnXHGGc6wYcOcgoIC54ADDnDOOOMM6SZxHMe58cYbncrKSqekpMSpqqpyVqxYIX3e1tbmXHrppc7gwYOdvn37OlOnTnU+/PBDSeaLL75wTj75ZKe4uNipqKhwLr30Uicej0syy5Ytc4499linoKDAGTVqlPPAAw90ypo7A/viOl599dUOgNB/Bx10kDSOvY7m+1GESrG5x3vqdexsWL2RG1i9kRtYvZEbRBzHcbrCM2VhYWFhYWFh0V1gOUQWFhYWFhYWvR7WILKwsLCwsLDo9bAGkYWFhYWFhUWvhzWILCwsLCwsLHo9rEFkYWFhYWFh0ethDSILCwsLCwuLXg9rEFlYWFhYWFj0eliDyMLCwsLCwqLXwxpEFt0a55xzDr7//e932flnz56N3/72tyzZ//N//g9uvfXWTp6RhYWFCVZvWLQHtlK1RZchEomQn1999dW45JJL4DgO+vfvv28mJeD999/HSSedhH/+85/o06ePUf7DDz/E5MmTsX79evTr128fzNDCovfB6g2LzoI1iCy6DFu2bPH+/fjjj+Oqq66Sui336dOHpVA6C+eeey7y8vKwePFi9ne+9a1v4ZxzzvG6P1tYWOQWVm9YdBZsyMyiyzB06FDvv379+iESiUjH+vTpE3J9V1dX4xe/+AXmzZuHAQMGYMiQIbj33nuxd+9e/PSnP0Xfvn0xevRo/OUvf5HO9eGHH+Lkk09Gnz59MGTIEMyePRvbt2/Xzi2ZTGLJkiU49dRTpeOLFi3CoYceiqKiIgwZMgSzZs2SPj/11FPxhz/8oeMXx8LCQgmrNyw6C9YgsuhxeOihh1BRUYE333wTv/jFL3DBBRfghz/8ISZOnIh3330X06ZNw+zZs9HU1AQAaGhowEknnYTjjjsOb7/9NpYuXYqtW7fi9NNP157jgw8+wK5du/DNb37TO/b222/j4osvxnXXXYd169Zh6dKlmDx5svS9448/Hm+++SZaW1s7Z/EWFhbtgtUbFkY4FhbdAA888IDTr1+/0PGzzz7bmTlzpvf3CSec4HznO9/x/k4kEk5paakze/Zs79jmzZsdAM7KlSsdx3Gc66+/3pk2bZo07saNGx0Azrp165Tz+eMf/+jEYjEnlUp5x5566imnrKzMaWxs1K7j/fffdwA4X3zxBbleCwuLjsPqDYtcwnqILHocjj76aO/fsVgMAwcOxLhx47xjQ4YMAQBs27YNQJrkuGzZMo9b0KdPHxxxxBEAgM8++0x5jubmZhQWFkoEzn/913/FQQcdhFGjRmH27Nl45JFHvN2ki+LiYgAIHbewsOhaWL1hYYI1iCx6HPLz86W/I5GIdMxVRqlUCgCwZ88enHrqqVi1apX03yeffBJyXbuoqKhAU1MT2travGN9+/bFu+++i8ceewzDhg3DVVddhWOOOQYNDQ2eTH19PQBg0KBBOVmrhYVFbmD1hoUJ1iCy2O8xfvx4rFmzBiNHjsTo0aOl/0pLS5XfOfbYYwEAa9eulY7n5eVh6tSpuPnmm/HBBx/giy++wKuvvup9/uGHH6KyshIVFRWdth4LC4vOh9UbvQ/WILLY73HRRRehvr4eZ555Jt566y189tlneOGFF/DTn/4UyWRS+Z1BgwZh/PjxeP31171jzz77LG6//XasWrUK//znP/Hwww8jlUrh8MMP92RWrFiBadOmdfqaLCwsOhdWb/Q+WIPIYr/H8OHD8cYbbyCZTGLatGkYN24c5s2bh/79+yMa1T8C5557Lh555BHv7/79+6O2thYnnXQSxowZg8WLF+Oxxx7DkUceCQBoaWnBn/70J8yZM6fT12RhYdG5sHqj98EWZrSw0KC5uRmHH344Hn/8cVRVVRnl7777bvzxj3/Eiy++uA9mZ2Fh0R1h9UbPhfUQWVhoUFxcjIcffpgsxCYiPz8fd9xxRyfPysLCojvD6o2eC+shsrCwsLCwsOj1sB4iCwsLCwsLi14PaxBZWFhYWFhY9HpYg8jCwsLCwsKi18MaRBYWFhYWFha9HtYgsrCwsLCwsOj1sAaRhYWFhYWFRa+HNYgsLCwsLCwsej2sQWRhYWFhYWHR62ENIgsLCwsLC4tej/8fiNx5kpGBqLQAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -165,15 +153,15 @@ " ),\n", " strict=False,\n", "):\n", - " sd_upper = np.mean(result) + np.std(result)\n", - " sd_lower = np.mean(result) - np.std(result)\n", + " sd_upper = np.mean(result.values) + np.std(result.values)\n", + " sd_lower = np.mean(result.values) - np.std(result.values)\n", "\n", " ax.plot(gi.time, gi.values)\n", - " ax.axhline(np.mean(result), color=\"red\", label=\"Mean\")\n", - " ax.axhline(np.median(result), color=\"green\", label=\"Median\")\n", + " ax.axhline(np.mean(result.values), color=\"red\", label=\"Mean\")\n", + " ax.axhline(np.median(result.values), color=\"green\", label=\"Median\")\n", " ax.plot(\n", - " gi.time[result[\"indices\"]],\n", - " result[\"values\"],\n", + " result.time,\n", + " result,\n", " \"o\",\n", " color=\"black\",\n", " label=\"EELIs\",\n", @@ -191,14 +179,6 @@ " ax.set(xlim=xlim, xlabel=\"Time (s)\", ylabel=\"Global impedance (a.u.)\")\n", " ax.legend()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "28928aa6", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From b132d8da0b412f4423939e0233d76a46c77b93e6 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 16:44:06 +0100 Subject: [PATCH 13/21] adjusted to work with new timing stored in sparsedata --- notebooks/test_parameter_tiv.ipynb | 160 ++++++++++++++++++++--------- 1 file changed, 110 insertions(+), 50 deletions(-) diff --git a/notebooks/test_parameter_tiv.ipynb b/notebooks/test_parameter_tiv.ipynb index 463852f60..95458041f 100644 --- a/notebooks/test_parameter_tiv.ipynb +++ b/notebooks/test_parameter_tiv.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 16, + "execution_count": 1, "id": "58e6580f", "metadata": {}, "outputs": [], @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 2, "id": "00f8acd0", "metadata": {}, "outputs": [], @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 3, "id": "58b7f389", "metadata": {}, "outputs": [], @@ -63,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 4, "id": "62913fd8", "metadata": {}, "outputs": [], @@ -74,23 +74,23 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 5, "id": "38e86661", "metadata": {}, "outputs": [], "source": [ "continuous_data = ssequence.continuous_data[\"global_impedance_(raw)\"].values\n", - "\n", + "continuous_time = ssequence.continuous_data[\"global_impedance_(raw)\"].time\n", "continuous_start_indices = [\n", - " np.argmax(ssequence.continuous_data[\"global_impedance_(raw)\"].time == start_time)\n", + " np.argmax(continuous_time == start_time)\n", " for start_time in [breath.start_time for breath in breaths.values]\n", "]\n", "continuous_middle_indices = [\n", - " np.argmax(ssequence.continuous_data[\"global_impedance_(raw)\"].time == middle_time)\n", + " np.argmax(continuous_time == middle_time)\n", " for middle_time in [breath.middle_time for breath in breaths.values]\n", "]\n", "continuous_end_indices = [\n", - " np.argmax(ssequence.continuous_data[\"global_impedance_(raw)\"].time == end_time)\n", + " np.argmax(continuous_time == end_time)\n", " for end_time in [breath.end_time for breath in breaths.values]\n", "]" ] @@ -105,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 6, "id": "b742f5e9", "metadata": {}, "outputs": [], @@ -120,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 7, "id": "7d4cc5da", "metadata": {}, "outputs": [], @@ -162,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 8, "id": "be28cb94", "metadata": {}, "outputs": [], @@ -171,19 +171,19 @@ "tiv_result_continuous_inspiratory = TIV().compute_continuous_parameter(\n", " ssequence.continuous_data[\"global_impedance_(raw)\"],\n", ")\n", - "tiv_result_continuous_inspiratory = np.stack(tiv_result_continuous_inspiratory.values)\n", + "tiv_result_continuous_inspiratory_values = np.stack(tiv_result_continuous_inspiratory.values)\n", "# TIV of global impedance determined on expiratory limb of breath\n", "tiv_result_continuous_expiratory = TIV().compute_continuous_parameter(\n", " ssequence.continuous_data[\"global_impedance_(raw)\"],\n", " tiv_method=\"expiratory\",\n", ")\n", - "tiv_result_continuous_expiratory = np.stack(tiv_result_continuous_expiratory.values)\n", + "tiv_result_continuous_expiratory_values = np.stack(tiv_result_continuous_expiratory.values)\n", "# TIV of global impedance determined on mean of inspiratory and expiratory limb of breath\n", "tiv_result_continuous_mean = TIV().compute_continuous_parameter(\n", " ssequence.continuous_data[\"global_impedance_(raw)\"],\n", " tiv_method=\"mean\",\n", ")\n", - "tiv_result_continuous_mean = np.stack(tiv_result_continuous_mean.values)\n", + "tiv_result_continuous_mean_values = np.stack(tiv_result_continuous_mean.values)\n", "\n", "# TIV of pixel impedance determined on inspiratory limb of pixel breath based on pixel breath timings\n", "tiv_result_pixel_inspiratory = TIV().compute_pixel_parameter(\n", @@ -193,7 +193,7 @@ " tiv_method=\"inspiratory\",\n", " tiv_timing=\"pixel\",\n", ")\n", - "tiv_result_pixel_inspiratory = (\n", + "tiv_result_pixel_inspiratory_values = (\n", " np.empty((0, n_rows, n_cols))\n", " if not len(tiv_result_pixel_inspiratory.values)\n", " else np.stack(tiv_result_pixel_inspiratory.values)\n", @@ -207,7 +207,7 @@ " tiv_timing=\"continuous\",\n", ")\n", "\n", - "tiv_result_pixel_inspiratory_continuous_timing = (\n", + "tiv_result_pixel_inspiratory_continuous_timing_values = (\n", " np.empty((0, n_rows, n_cols))\n", " if not len(tiv_result_pixel_inspiratory_continuous_timing.values)\n", " else np.stack(tiv_result_pixel_inspiratory_continuous_timing.values)\n", @@ -224,25 +224,25 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 9, "id": "2f2bb839", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9f9a28a826b444f99463e3f508d19a71", + "model_id": "5803fc018f6a4acfbb225d823629de1d", "version_major": 2, "version_minor": 0 }, - "image/png": 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", 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", "text/html": [ "\n", "
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\n", " Figure\n", "
\n", - " \n", + " \n", "
\n", " " ], @@ -264,10 +264,10 @@ "plt.plot(continuous_end_indices, continuous_data[continuous_end_indices], \"x\")\n", "\n", "# Plot vertical lines at middle_indices\n", - "for i, mid_idx in enumerate(continuous_middle_indices):\n", + "for i, mid_idx in enumerate(np.searchsorted(continuous_time, tiv_result_continuous_inspiratory.time)):\n", " plt.vlines(\n", " x=mid_idx,\n", - " ymin=continuous_data[mid_idx] - tiv_result_continuous_inspiratory[i],\n", + " ymin=continuous_data[mid_idx] - tiv_result_continuous_inspiratory[i].values,\n", " ymax=continuous_data[mid_idx],\n", " color=\"r\",\n", " linestyle=\"-\",\n", @@ -285,25 +285,25 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 10, "id": "1231ccd7", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d37411468ce84c6cbde71af16b49b5e6", + "model_id": "2660e15c7b504baf80d37cbd71e1da03", "version_major": 2, "version_minor": 0 }, - "image/png": 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", + "image/png": 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", "text/html": [ "\n", "
\n", "
\n", " Figure\n", "
\n", - " \n", + " \n", "
\n", " " ], @@ -323,22 +323,58 @@ "\n", "pixel_data = ssequence.eit_data[\"raw\"].pixel_impedance\n", "\n", + "tiv_result_pixel_inspiratory_time = (\n", + " np.empty((0, n_rows, n_cols)) \n", + " if not len(tiv_result_pixel_inspiratory.time) \n", + " else np.stack(tiv_result_pixel_inspiratory.time)\n", + ")\n", + "\n", "plt.figure()\n", - "plt.plot(pixel_data[:, pixel_row, pixel_col])\n", - "plt.plot(pixel_start_indices, pixel_data[pixel_start_indices, pixel_row, pixel_col], \"*\")\n", - "plt.plot(pixel_middle_indices, pixel_data[pixel_middle_indices, pixel_row, pixel_col], \"o\")\n", - "plt.plot(pixel_end_indices, pixel_data[pixel_end_indices, pixel_row, pixel_col], \"x\")\n", + "plt.plot(pixel_data[:, pixel_row, pixel_col], label=\"Pixel Impedance\")\n", + "plt.plot(\n", + " pixel_start_indices, \n", + " pixel_data[pixel_start_indices, pixel_row, pixel_col], \n", + " \"*\", \n", + " label=\"Start Indices\"\n", + ")\n", + "plt.plot(\n", + " pixel_middle_indices, \n", + " pixel_data[pixel_middle_indices, pixel_row, pixel_col], \n", + " \"o\", \n", + " label=\"Middle Indices\"\n", + ")\n", + "plt.plot(\n", + " pixel_end_indices, \n", + " pixel_data[pixel_end_indices, pixel_row, pixel_col], \n", + " \"x\", \n", + " label=\"End Indices\"\n", + ")\n", "\n", - "# Plot vertical lines at middle_indices\n", - "for i, mid_idx in enumerate(pixel_middle_indices):\n", + "# Plot vertical lines at middle indices\n", + "mid_indices = np.searchsorted(\n", + " ssequence.eit_data[\"raw\"].time, \n", + " tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col][\n", + " tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col] != None\n", + " ]\n", + ")\n", + "\n", + "for i, mid_idx in enumerate(mid_indices):\n", " plt.vlines(\n", " x=mid_idx,\n", - " ymin=pixel_data[mid_idx, pixel_row, pixel_col] - tiv_result_pixel_inspiratory[i + 1, pixel_row, pixel_col],\n", + " ymin=(\n", + " pixel_data[mid_idx, pixel_row, pixel_col] \n", + " - tiv_result_pixel_inspiratory_values[i + 1, pixel_row, pixel_col]\n", + " ),\n", " ymax=pixel_data[mid_idx, pixel_row, pixel_col],\n", " color=\"r\",\n", " linestyle=\"-\",\n", - " label=\"TIV\",\n", - " )" + " label=\"TIV Line\" if i == 0 else None # Label only once\n", + " )\n", + "\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Impedance (a.u.)\")\n", + "plt.legend()\n", + "plt.show()\n" ] }, { @@ -351,25 +387,25 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 15, "id": "ee772f3f", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cf1742df962b4a6f9a2086ee43eeb96a", + "model_id": "78b5867cc6fc48be9ceaa2a3ec8c58ec", "version_major": 2, "version_minor": 0 }, - "image/png": 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qAQRC8RE3cKuiLAUpMSwGkC4uDAE4WQM+JSUfAfhstHvoWWxWOn2Jn/kQewZLSU8Wc1hv99Q80wRPkAJI2HJIW4rM2vWbdErImiJP2uZEnLsLpKMgXDxENFLAR1QAz5FakmqM1wAm+3k/b5NeTZoTO9BcsmC4M1gPyYR4QAEgYctBuQIYAI1Oz6YrMF01gEkHzOM1gMny0XV9ZFpK0jWSwGiQTJtlujFWA5jw58vahAYk34hmBoATAMatsgjxgAJAwpZDGrpIGZgFTCFnftSSPn1bU5pJN6VYC8LrCU8GaHUHEP/zqynYnGotxSngEPjBmXU88L2U1OmlCNbPUytpBTBlAaCu67wLeP+8oQAup+SZ3m6gAJCw5WBVlJIcyM4W37mKaXKadMBl9f1LWjG1BoDA+LziOGFNQa80uok+Q8DoM50WteSn3v95vPnOr+Los2tJU0kVrIp/0gc+q+UKkGwA2Oj0eU0iTwFTWUMioACQsKXQ7Q/GAhprAXScYGrNTKXAv5f0HE6rQqq0a9oHajaKbZIqrlUhbfcGyafJm+mqAax36ni6/LN4uvyz+OrTp5KmkypYP09Jp1vtFMAkg1KW/s1nNVwwY7i/U1lDMqAuYIKJTAZ48YvN10kjlwMqFfO1D9ipSV2ZTRcBObGFbUe1AAyFEqkeXCGu0Xp79BpJTVGFuWc2Xb/SGkFC8LFTH89tdFCZk7BchuADjNYASp9vHYLTQDhU9RN+npUjICfrYUG64h+Qz3kbxbgty5w6xJ7BPtuTpTx2VIsA0lPWsN2Qkk8YIRUol4GvfjVpFibm5gL7ETI1qZRXVHMXkBM7fc9WRQWwD13XoWkSxnmFuEZjCmDCfOxsVtZlKYCh+Ixvjiv1DvbNVRLhA4yqpLVWT979CslJDJK7MhX2kNdHKQJysgZ80tW2wGuQwi7gEHsG+2xPFHOYLBkhSLs3QLc/QD6bAuFhG4GuNmFLgSmAM8Jg8SRd71kAKPIZ6MmlpXVdH1PXdD3ZtLRdDWKSVjB2AanVyiduiCppb6AnXrcpBoBJp8fThjEfwIRtn9KWAmafr2oxh0oxy7+f9DO9HUEBIGFLgW2UU0LAJTUFHBBMTaoKCx2QXCOIcdIeDz6T3MTtgr1EawBtUsBJ1yhZp7dYJzvEDfH+pKFLOk0Ys4FJeBZw2ppAeAq4mEMhm0E2YyjZSdcib0dQAEgw0WgAF19sfDUavn6l2x/gu6dqarokl5eNGpdczrfbPKuVmioJCqDMxS4gJ7aolQuj1RbSFuCAfFj6xZo9tAYYcfEB7EfRbbQlBTgh+NgqgLKCnBB8gHF1RGoAGPEarTYlBushr49SBP3Mj/kASg62AvJRqgCG2DM2uAKYhaZpqBSMw3GSnf/bFRQAEkzoOvD008aXz4Du3Z/6Dn7m//cF3P3VE/L5DAZAv298DfwtWEwBnCwpSgEH5NQYbgblvCIFMCAfNlFiwhKQSjt9h7hndgqgtBrAEHxsawBlpYBD8AHG58tKDQDD3DNhs16VmR4PeX2UIiCnMeN32QpgQD5Km0BC7BlMPZ4YrtEsACQFMH5QAEiIhLu+fBwAcNs/fCdhJgbYxjhVNgOcbi85Gxg2RswaACaVgmHB1oQlJZ1kCthOfUxyGoitAph4ClhhABgC9ZbJZ0327OaQ+OhXT+DQXV9PPOVqDdalK4ABYfesJFkDaF2DqsPDqPSZ2wRPUBcwQQqS9rZjYE0gk0UhAJQ5+Dwg2MZdKY5+1JKqATRP3zlA2BeSLMC2C/akpYBDwG70W9I2Fc1uHxDS9kkHgKJqK1UBDImVRg2//OkLAQCv/OYP8KYXXZYYl/EawOTWxsFAR93ms50kpzoPAI01sTxUABvUTBQ7SAEkREJBaNs/fs5fDYhK8BSw0ASSZBeemQIe/agltQAzO5FqUVEKOCA6vYFtij7JLmC7mkS7Oqo4YQ0q7Pwu44RYr3W+nrwC+JWnVvjrJKe2tHv9sQ7/RIMth7q6JBXA9fboGsQUQLvPHUEtKAAkRMKu6RJ//br/8oVEZ7gCZhPI9EgXcPIpYFbnwpCYAshP3/mR7yeVAnZqPpFWAxgCSptAQqDbH+/cTlwBFLuAm93Ex5198hsn+esknx3WcZsR1Np2b5BYUMrU9WxmtOsrSWssRwWQmkBiBwWAhEgQLVbWWz18/fj5BNkICqCgcCW5ObHUalpqAHkTSGlUAUxKcWPpqUJudClKUgG0+2+f20hu/Jpdej7pANAaJJ9N6Pp8/8w6/ujvv4lPHzXH0Vkn3cQJphSLB1Ag+ZrfquUAmmRdIjs8MBNoZpFFPoDxgwJAgglNA666yvjyOWWALTDX7J0GAPyf75yWxyeTAYpF48vnmKFa08YHUGYTSEBOTFmz1gC2ZSluAfnwGkBLE8g/fPOk3duV82GBRMUSIEvzAQzxDNltRLVWT46fZAg+dul5u+kOcXKy1kmeXmslwuWdH/sWPnbkmZEGVOnp8QCcmAI4U1EYAAbgY1XbOB9ZCmCEPYOlgCssBUwBYOygJhCCiUoF+I7/bl5dNycSvOzSKj517hX4d18DbvmpDVQL1eh85ueBVrCNpWY5XQKSjaADcmJpDWUKYEA+ogkrQzaj4Qs/WMazq00+nD0uPnXBEwyCiCRNAQzxDFn/25oGQDfUncXJkv0vKeRjV8dlZ+0RGmE4Weq1lmqSAsCAXJji9mdveB5u/D/G92qyU8ABOK2KCqAwrc3oTM7b/5JCPqLnHoRHRtoBNOCeIXKa4AEgpYCTAimAhNBo9wa85m9hopgwGwMsNSYGgEmlgPsDnXdHl1NSA2g2gZibERtTl0RjAQskKhZfwjTVALLrk1QdoJ0CmGRNIjAeAJ6WFQAGBPtsX7lrkn8vyWeHKbMz5cLI95NKubJgy5qBSLIGcDwAJAUwKVAASAgN8QM7Uy24vDM+8BSwKiPoABAbKyp5RZNAAoIrgEKAXBzW3yXBaUShsPl+ErBuRLPDdF5SXoB2G2PSXcmt7uj9OVNLpgaQBYBiDel6gvWRZgrYEgAm5E3IU8CWA1YaZgGzOmRSAJMDBYAEE40G8LznGV8+xvqwD3IpnxnrcpWC5WWgVDK+fIw8anX7PIhRNgs4ACe2oGmacY2sXOPmAwAbwyYQ0QaGcZOSFgrIh12jamG8KUVK52RAPuy/LWJ2eLhZlRFYhOBjtzGu1DvyOktDcLJ6y52RpQAG5MIDQMGOqibbmDoAJ5YCnimPPs9SfVID8LHW2zFIO+wF3DMAU6Fln3kzACQFMG5QDSDBhK4Djz1mvvYA+8BWCzmuIknFYAC02+ZrD4hzbsUTr/RRcD45MV+rSt6YeSlCWkoo5DUSawALuSyAAVoyNoWAfHgTiCUAZOlza+pcNR9d18dSwJPFPICWnBR5QD6AfQq43Rug0emPbezxcbJ0Aa9LUgADcmHNDCMKoOwUcABOTJm1ZkSkqusB+DgFgNIUwIB7Rrc/4NdisjSaAk5y+s92BSmAmxSNTg8f/dqJRGuBWHF6pZhFMadAAQwI0QImI/heJZXu4BYwhfFNupVQSmjDkn4BgKJMBTAg6nxSivn8sFg5CTuPTn8wZuTLLD2Ssl6xKiPssJXoZ9+yWS8nYAOj67qQAjafnyRNslkNoFiCAiTz2QKEJiurDUzCKWlA7AIezgLuSg7cCZ7YsgHg4cOHce2112JychKLi4u44YYbcOzYMf7zp556Cpqm2X79/d//fYLM/eHP7v0u3vmxb+H3PnIkMQ5M4aoWcjyISBJ2FjAA0ElosWMLml16PKnReevcBkYIALPJ1QDabVCMmzQrmEB8xp8VplRITy36hHVEFqtJTLIO0GocnsSoPNEcezQFLKl8IATYIUGpDUwAsOfZWmPbScicmq0/xVwG+eE9YweapM3EtyOS37UV4aGHHsKhQ4fwyCOP4P7770e328XBgwdRrxu9+fv27cOpU6dGvm6//XZMTEzgZ37mZxJm742/++pxAMCXf7ji8U514ApgIYtSPg0KoMHHevpOKtgyO1zHr01SJ/B1mxrA4vDeJdGZbNcFzILBJLo5xbpWhsmEFUBrupU1GCQ5n9iqSq7UOxjEPAVILO0QS1B6A12+FYxPjMzaFpDc53286x8ABjrGlO44wPYMsQmtQAFgYtiyNYD33XffyL/vvPNOLC4u4siRI7j++uuRzWaxa9eukffcc889eNOb3oSJiYk4qYZCguMuOepCfYmSGsCAqNlYwABAM+F0h5UPkExQqut66rqA6zZdwEZw2necY6qUDzvU5LPA8DM2xRTAZjJBhTXY2lEtAOjK9QIMgP5AN56V/Oj31ppd3jATB8SAQVQAAeDsemtsGkccYM/PxFjKNalDqD0fwLh++Wy86/aGzSxyVj6U5Mzk7Yrkd+2YsLa2BgCYm5uz/fmRI0fw6KOP4rd+67fipLWpweu3ClmuIgHJDWM3gxtr/U1C6VYHF34gmcWu0emDHfonUrIAmyqyyYd5liUxHL5uUzTPnqfkFMDR68AUwKRqAK1dySzQOlePtw6QBYC5jDZS8wsAS7KaUgKi7uC7l5Tvp1mnPb4GJaG4WT0AAVIAk8SWVQBFDAYD3HLLLbjuuutw9dVX277nr//6r/Hc5z4XL3/5yx3/TrvdRrttLiy1Wk0610ShacBFF5mvPdDg9Vs5lIQi7HZvACm+0JkMkM2arz1gjj1SOPcyACczHTSuREjbEILwGV6fbEYbmUzCm0BkKKUh75loA1MdcpOiAAbks8FS0sUcMHQ2YQGOlBrAgHwAF19CWQFgQE7jimQe680Bzq53cNlifFzsPAAZpHUlB+S0YfM8AwpGwfnk0+iMl1jkMprRSCyDU8A9w64ruZBgBmK7Y1sEgIcOHcLRo0fx8MMP2/682Wzirrvuwp/+6Z+6/p3Dhw/j9ttvV0ExEKy1Nrquj9mMhEKlAjz1lO+3MwWwWsyhJCzC0oKb+Xmg5z8IWLdJLwDjBetxcbJruGCQOgrON58u5yM+L6wJREpaOuA9s+sCZmqFFFuIgHyaQl0rA0uXS1EAA/IBxgNhlmaV1gQS9J5ZbHLmqkU8tdyUowAG4NLpG8+HXQC4JNOY2ienXn/AP0NjAaDMQ2iAa2QqkuY1KuQyaHUkKW5B9wybUZRJlqBsd2z5FPBNN92Ee++9Fw888AD27t1r+56PfexjaDQa+I3f+A3Xv3XrrbdibW2Nf504cUIFZU9YF/6kpiY0+OKSRU6oJUm83sVqeppQ+mWjbV+TCCSTEmLqlvX6mAtwcilXMQCsJjgZgB0WKoJCypqKkqoBtKaAZxNPAVsUwIlhU0rMk1LYOmOt/wOAswnY0ojm2NZDaOIpYGESUSGb3Ofd7pBupoDJBzBubFkFUNd13Hzzzbjnnnvw4IMPYv/+/Y7v/eu//mu8/vWvx8LCguvfLBaLKBaTn3lrHbu02uiO1b3FgbpgBC0i6cXOGuAk7rmXkhpAu4YLQPQBTKYuEQCqwgZVHvJL4mDD+Ig1rVNl1gTSlae2h+DEkLYAcI51JcccdLmlgJcSmE3MPl+FbGaMU1KHYm7VNRJwaYlxsvUhJQUwMWxZBfDQoUP4yEc+grvuuguTk5M4ffo0Tp8+jWazOfK+xx9/HJ///Ofxlre8JSGmwfHdU6O1h9I2gmYTuPZa48tynezQsEmXARI/yCsrQLVqfK14291s2Cx2ANCUGdgE4OSaApYVJAfg4zR1w2wCkcAp8D0bVwAnZA6HD8inKTQ2MTAFsCOk+OLiI3JimK1KrgEMyMmakp4bKoDLMvgE4OIaAMqsAfTJyemABUhW24J85m3WaKk1dwH3DLsUMFcA+8l4E25nbFkF8I477gAAHDhwYOT7H/7wh3HjjTfyf3/oQx/C3r17cfDgwRjZRcPXnj4/8m9ptUCDAfC1r5mvPVB3CLikBTe9njlf0kfNy4ZQ4yaiI1ORDMDJ7rTLIC1IDsCHBVRjKWCZCmDAe9awKZpn49+stWZx8GHBlugDKAbM9U4v2ni6gHwAoGGZkMAUQDZ1IjIC3zNrE4iRFVmWEXQF4MJ8AG1TwDIDQJ+cnMauAZJtn3zyEWsSxWfYOPD15dQABtwz7K5RcdjQog+9CfPZeBX27YwtqwDqum77JQZ/APAf/+N/xPHjx5Hx2ZGXBhx5evTUl7QdhFUBTCwF7KgAJpQCtpm7y5BMDaD9/UrKBmYw0IUmEPMaTfAmkORqAMUuabFr2m4ur2pYldCZqjkJpJ+Ama+1NnNHNRljahbA2HmQJmEDU3eosQWSqbcTJ8iIn3nm/Sd1RrpP2NUhi1OkKA0cLzZP1EMAYJzqfrC0AQB42SWGp2ESczgBewsPAGglsLAAzopbUpNAYlEAA4Bt3NYAmW2gcQelYmAujoIrD+sB6wkGW2XLZBuW1kvCnHosBVw2Ai5dB1YTGAdnDa7mqumrAVxrdmN/nt0UwEQ+78NgK5fRRoLkJGd/22VpRAWXvADjBQWAmwznG13oumG5dNXuaQCS0x0BYGfhASRnvGw2gaTDhZ/VANo16CTZBTzWBJKQAsgOEBltNOBi/JLoAmb3xZrmNdPSySuA+WyGq8pJmFMfP9cY+XdSXcA8BWwJAFlAEffB2M5EnCGJNVGs/xMblwqZ5BRArpIKh+JMRkMuwxpTqBM4TlAAuMnAFrW5SgG7po3am6QCQLv6LSC5gMtuzBBgKE1JFBenrQvY6X4lZQMjqm3iBsXSVRsJBFtMlbTOtq7yxpTkFUAAmEpwPvFT5+oj/54b1gCut3uxHmycbGDmhwFp3GlgpwMokIwTgVNAWhg+20kEpesOnIo0DSQRUAC4ycBO2TsmClicLAFIxvMKEI2g01EDmKaAy2nuLkN/oKMb8wlcNO4WUcgnYwvB6+0sASlTlBsJ2sCU8xZO3Jsw3me71x/YKjVJBoDHV0YVwKlSjhfux1mP7JQCnp80AlKpZtA+4DQFBEhIAWRTbSxqdiHRGkD7Rj0aB5cMKADcZGBu+zuqRSxMKlAA5+eNLx9wqimT2nWrab5GDHX7Ax7A2AWAUoNSH5zavQEv0LcuwOJ74uIDiDYwo3zYGD9p18gnHzMAHF2GqjJtYALwAcQUsIVTUaICGIBPw+GeTDNvwpakINknp1a3j1Nrox57mqYJdYASAkCfXMwAcPR5XhjOoZR6MPbByTUFLFsB9MGn4eCLKl1tC7BnsKDUeihOch75dsaWtYHZqlgWFEDpAWC1Cpw96+utnd4A3T4LcHIAzIV/TcbMVABYXPRlLQCMdoxWizl0+qMcpDWC+OQk8qkUcmj1xjfGVrdvG6yq4AN4N4FIWXwD8Gk5NFwwywopRtAB+ADOTSAVWTWAQfkM/3vZzOhmz7wJpSiAATg9c97werM+t9PlPM7U2tH5BODCFCxrF/D8pBGMnpVlBu37M+/cBSy1Ec0vH5s5wIDkko8AewbgXKZD84CTASmAmwiffewM/uzexwAA8xNFftI93+jGLp2LSohVUZLiBxYQLFgo5DLc5kBE3GlpPlEilxnbvJNa7JxscpiCEneayinYmhyqW+ut+Ds5uQ9gwT4ojbsGkFstWa7RdJmNp4s3BXxmGFTtnBqdiMT5yDr8+YBTCnhhwiiNibsG0K0LOAkrqoaDMXV+OAkk7j2j3evzoJ1SwOkABYCbBGfX23jL//wa//dctYDpcp7X3sTe8dYxB7FbA65z9fjrknhqwUFRi3sB5jNlbdK/pYRsV1iRetWaAh7aQsRdqN506LhdqBYxP1HAQAces0y9iY1TTpECGBANG2NqwKwBjDsAXFo3AkB2+GSYTqAmsePQBKKkNMYHzFnk4595aWb9AWD6floUwGyyB1BgfA1Kch75dgYFgJsE3z+zPvLv3kBHJqNhfkLiYtdsAgcOGF8eY33MjtLxxU5aMLqyAszMGF8eI4/cTt+AxGDLJ6eGQ/oFEBRAGYpbgGvkVKNUlKkABuBjZ7oMGDVl1+ydAQB888RqbHwAUwG0BqXsmkU+SATl43CQkKq4BeDE5pAvTpVGvi8tJR2ACwsWrCnghUnJXcA+ObmtQWvNLnqymi4CrkFWBVCq2hZgz2Dp33I+i5wlaCcFMBlQDeAmgWgFMVPJ4xd+9AIAxmn31FpLTgA4GAAPPWS+doHT6RKQGAD2esDamvnaBx+nAFCaAuiTE0vd2Y0Nk6q4BbhGPAVccKq/MexyNJ8NClH5OHnuAcA1+2bwz99bih4ABuADONvAVGSNpwvIhyuAhRwg7K9TJYk+gAE4sc7ahaHVCucjS5EMwMWxC3h4KGZqZWT45OTWBKLrxr3aYVFOlfLhir/CersQe4bd9SkkpEpud5ACuEnANqaXXTKHb/zpT+Hi+SoARR1vPuB0ugTiN4QF3NMvQPwjvJod5xRwUXbXrU9wY1gHI+jBcBZnXDDn7o5fI/Z8n4nZysPpvknvTPbNx75ze7rCAq54axLPsBSwRQFMIgXM/lvWjlJmj7W80cEgxufZqQmEBetxp4FZA1HFqeY35mDLzRarOFwDSAGMFxQAbhI0hZSiqNAkXe9ipwCut3uxB1xuHoBA/GPFnBocAGEUU8yLXcshnSim0OIMSp1SwIBQJxljTZDouVey1ACWZSmAAcFLCSzXSGoXcACc5QrgqJKVhC8hc0SYt3CZqxagaYbX5kqMQZeTwsUsclZiro2uO5TpJJVurbus0Ul6E25nUAC4SeC0WSYVALopgED8TSlO9gIMzZi7N/0ogHHO4uz2BduevLUGMJlh7K4BYJ6ppPHxaQn/7+M1gMa/424majjUJCahuAGmArg4mXwTCFtjrAFgPpvBXGVYBxijgrzhkIWYGaq1cZpkA6Li7zD7O+aGi3WHrmQg2fnE2xkUAG4SONUmJaYAOtSXMJyW5cHlE26nS+PncW/czgppKQEbGDFwKVlMjjVNS8SaxqnhAkimK1DcfKyNBew+xq0ANh2aidh8aSleiT7x5NkNPD2cA3zhfGXkZ2ZTSnx82JpnDQABYV2M6SCq67pjDeDsMBiNPQXcYSlpB+P3uLMiLpNSiqQAJgIKADcJGg6KUmI1gA6ecgwnV907wmRjw8H1niF2/zaXBodCAjWAbLHPaOO2GUAy1jRuAWApgXmlbaGpwNoIk1QNoNkEYp1MwuYlx/Ncf/nJc/jJ9xnF/lfsnMDihLULeDiZJCYFsNcf8PQuM34WsWOCpV3jWRfbvQGvn7WuiTMVxiVmBdChTKec0FhDJzUbEBVACgDjBAWAmwROHZPspHtGluJWqRhfHqg7FKczPBtzAOjWgQfEXwPolgIuJVADKKZb7bp8iwkEXP5SwDEqgD37yRKA2ThTj/0gMfycWWoSJ4uG4tbpDWKp5fr68VX++kUXzY39nDWlxJUCXml0oOvGNDSW7hUxVzXWxbga0kYmEVkCrrnhtYm7Oc6p658HgLI+Wz73DPZ5t1UAaRRcIiAbmE0Cp47JnVOm631kC49qFajXfb3VrAG0f4SePS8hAFxcNPwTfIDVADopgNKaUnxycj3tylQAffJxMl02OUlKuQa4Zy2XAFDaeLoAfExfuXE+LJBvyBgF55OP+N9zqkkEjOCjkBsPgmRy0mH+/F9fd/HYz1kQttrooD/Qx6bfyOQCAMvrHf7fzWUzsN6WHVWJqpsPTizYKuezY//vF+4wOtq//exqdC4++QDOXf/sWZZSFx1gz2BBslvJR9zOCNsdpABuEjilgBeHI5k6vQHON+IrwDbTC/YBRewpYI+UdHLdm3aWB8YGEava5mK5In4/zqYLt6A0EQWw66wAJp0CLltUk1w2wwPnONLA7Ln49ZddiMt3To79fMdEERnNsBI6F0Pa1akBhIF13sZVd+fmcffyS3cAAL5xfDXWmk2zBtCiAOaTTQHbNsblSQFMAhQAbhI4qSXFXJYvdqfX4mu8qLsU9ALAydWEmkBsPKaA9Pi3AUAxOwxuYmxwcEu3Ask0XbgFpSxN3hvo8iYoeICngPM2KWCmmnT76Mfpldh1fo5YsLEeQ+MFa5Cx2uMwZDMaT7vG0XnLArvZat7252xNjC0F3HHucN07W8GFcxX0Bjq++pT39BdpnBwO6awmME3eqNwcnxTAWEEB4CYBnyxhs1myNHDkOsBWC3jd64yvlvvfYjV11vQCw7OrTegBUl22WF010h2Li8ZrVz7uRtDSard8coqt4NknH7epG4DElGuAe9Yc/v/bp4DN70XiFICPWwpYVHYiWcEE4AOIs4DHOTFD3cjPtg9OLQcXAhGLMjpvfV4fFkw4HUClpoB9cNrwOBBfsXMCAHBKxsHYB59ef8A/N1ZOfKqNjDUxwJ5hNsY51wC2SAGMFVQDuEngli7bNVXEd09JCAD7feDTnzZfu6DhYQOz0e6h1upxe4hQ6HSAs2fN1y7gPoAOfKQpgD45Oc1wBcTFTgInn3zcjKlFTpEDwAD3zC0otZpTO6X2ZfJxSwEXcxme4my0e461pjL5AO5pM8ZhI6oC6IMTSwGXbNRRhoXJInDKNItWxQVwP2ABwKzMANAHJy8bKtMMWoI66oePsN5Viln0BmZ5UKlglnsMhjPlQyPAnuGWFSmRD2AiIAVwk8BNLdk1bSiAcXrvsaJnuw/zzDDoi7MO0GsWcOw2MA7+bUAylgdulitAMikYN1U7k9G4XU1cqoBbF7CmaaYXYIypM7e0GUs3rsdRA9iLSQH0Ca+SBqYAnovJeqXuYnIMCF3JMfFhn618VhtTtMWpMnEam7sdZkqkACYCCgA3CdxOT9JSwAHQcPHd2zNr8JHSCewTbAG2mzMJSOjeDAi3JpkkFju3jlsgGRsGr6A07ukA7BoVHa4R7wSO8TDhFiRPDK1g4mhw8ro2QLym9G6BMWAqbmvNLrox1JB6NaHNDWsVz8cWkDofQMU6zjhro/0dikkBjBMUAG4S8EkgNgse64RbjtFnqu4waBwAdk+VAQAn1+IJAAcDnasyzj6AMU9wcEkB86kbKZm7CySzALdcVG0g/s5kNwUQMJ+tODdNtyCZHXYip4B9gKeAHa4NYCqAS+vqD6JO3dEMMxVjHjAQTyewdwo4XgXQaQ4wYKjr7DMXZyNIwy0FTApgIqAAcJOg2XHeLFkAeC7GaSDmKLhxPruHKem4zKDF4M55Ekh6XO+TWOzY82N3gBA5xaUA9voDPvYpLZ3JZhOI/bLIi+fjtPJwOUiwZz2WFLCPJhBmBl1rqufjdsACjK7k2RgncHgZ0TMFMK5pIE5zgBm4mt2N35bGvTGOFMA4QQHgJoFbCnh+It56l8FA5yOfpmyaPC6YNRTAuFLATI3MZjTHzbvR6UfvSg4ApxmuQDKLXdoUQDH4da5LTEoBtOcTtxegruuCEfT4c8SCjVhSwD3WBOIcAFZ5jWQMAaBLapyBN17EkBnxqkFmCmBcKWCvUZ18sk2MpTHuNjDkA5gEKADcBNB13XUD3zER89ijTg/MCs2uy3dxcjidJAY/MMBcfCeKOcdJKP2BHtugel3XXdMd3PU+VTWA8Y6nE1NPTkE7b0yJSwFkXcAOna5xz1Bdb/e4SjpbHp/0EWcKmPsAunQB8xR5DEGFVxcwIHgBxqgAOtlQiU0pcRxE3TI0gGlQH28K2Nkcv5TAfHQC2cBsCnT6Ax5w2aXw2ODzjXYPrW7f9ZTuimrV14ghFkgVshnbzXthyCdyLZDPkUcbHvU3k6Uc6i3g7Hormi2NT07tnnm/lKc7/I6C8+wClnQC98lHDEidgnbemBJFAQw1Cs6pBlBCE0gAPqyZYrKYs71vvI4r6nPkg5OfFDALACNNuwg42tApBQxI9AL0wcmrCYTZ0rR7AzS7fdvMgEw+bg0XgHiYiXh48LlnDAamiGHnHVtMYD46gRTATQHxlGan4EwWc9wyYzmGOsC1hpn+tdu8F4T5xHHAy4KBB6QxKZLi/arY3K9yTtLGHYSTxwYe9yxON0sIBu4NFlsNoHuak9vAxJQ2Y8/rwpT9uLOSrADQB8wmELcUcHxd0vxA4yMFHK8CaB9wVQtZ3vwVR6bGa00UJ9vEAVHFd20CIQUwVlAAuAnAPqT5rIZ81t6jjKmAcSwutRYLAO0Xu4VhSrrR6ccy+9JLAVyYMALSOPzJALNwv5DNIGdzv5iKm0j6xXESSLw1OF4BKRD/puCpAMZsA8Oe1wWHebdxejeaPoDOW0alGF+A7CcFvEOm+bIH6h7G+JqmyZ1O4sXHqwYw5nIG8b9jd4goCs9ynLXa2x0UAG4CuI2DYuABYJTFrtUCfumXjC+XsT5rwwYQp3RqtZjjm2Ukb8LVVWDvXuPLZSwUnwLiFABOSZxR6oMTL1B3qr+ROYvT5zXyrAGUpbb55OOVkh7lFHEUnA8+gDgJxJ4Ta3iKtIEH4LM0/OwsDhV1K8p5SQGyD07trncTyMTwue70B+iEvWcBn2e3VOqcrIDLByevJhAAZldyVFsaH3waHjWAVVlTZHzuGaJiazd5hAWFA92Y/02IB1QDuAngZXoKCD5TURTAfh/42MeM13fe6fg23gFccq6nW5wq4YfLdSzV2rh0YSIcn04HePZZ87UD6i6m1AAwX5VUk+iTk5faxjbuxvC061QDJ4sP4K24mWqbhFFwPvh4BaSjnCIEOD75AN4+gBftqAIAnjpXj4WPtwIYzz3TdZ0rgE4NMsBobVej00MhN964EpWL+fd9rImymuN8cPJKAQPmIT1yV7IfPrwJzbkuGgDWW13bn/uGzz2j7tIUB4w+V61u3zbTRZAPusqbAH42S/MDrT495aUAAuZUgDhMYb1O31wBjKkm0Ss9xTbu/kBHtx/Padf31I2Y6u28bGlETvHZwLgHOfvnjQDwybMRAsAAYDN1Fz1qAFWngDv9Aa/zd1MA89kMr3NTPS7PTwkBs8eKoy7aTLn6sKWJNQVsz2dyeHiPyxnBa00cnf1NjSBxgQLATQA/KeCpkoQOPJ9gi4ZbALgY41gor9M3qwGMuwnE6bQrfj+uOkDfNjAxLb7s/9vJmNrgxOoS420CcUoBX7pgBICn1lqx1AGyA4tXDaDqQn5xQ3ZrAgGEOknF65CfrAi3o1K8Bum67pmFACSmgH3AHEXppQDGEwCy++VWIxm38TthCweAhw8fxrXXXovJyUksLi7ihhtuwLFjx8be9y//8i/4yZ/8SVSrVUxNTeH6669HsxnfDFs/8GN5wE50kSV9HzBNoJ0Xu50xdgKzOhanxZdNJolrNJ2b3xVgKCW5YR1MXE783kbQyTSBlF1SirEbQXfdU8AzlQJXcX64rF4FZIcnbwVQ7fVhdkUZzWhEcwMLOFQeRMUpMm5rIstCrLd6SlXSVtdUSJ0mbwBCU0oMjXpsDXK2xopvvxD5uNX8xv15J2zhAPChhx7CoUOH8Mgjj+D+++9Ht9vFwYMHUa+bC/e//Mu/4DWveQ0OHjyIr3zlK/jqV7+Km266CZlMui4LV2/cAsBifCe6mo8UMJ8LGqUJxCe8PLj2DCeTnFxtoh9DgXHDowlE/FlcCiAPuAr2z3bcNjBuk1KS4uTVBQwA+/izpP65ZuUTLJCxQloTiAdaQgOIV70qCzhUdpeKiqfbZ2yqlOMpaZWZCFENdrWliXFik1fN3VTMCqCbMT4DKYDxY8s2gdx3330j/77zzjuxuLiII0eO4PrrrwcAvP3tb8fv//7v413vehd/35VXXhkrTz9o+PC8ilPSX+cpV7cmkPjq7rxc+BcnishlNHT7OpbWW9g9XVbKx49iWylksd7qxWbD0PQoI0ilDUzsqiSbBOKHk+K6u94A54d+m0Yqc1ypiasG0M+9YmCNICoVQPaZyWY07n9qB03TsDhZxDPnm1hab2PfXEUpn2Iug6xNhyvD3DAFfD7GFLDToZg18K2341EA/aTsSQGMH+mSuhRibW0NADA3NwcAWFpawpe//GUsLi7i5S9/OXbu3IlXvvKVePjhhx3/RrvdRq1WG/mKA2YBv3O8bhb1qv9Ac4sBl4LnuOpvAMEHsGR/fXLZDHbPGHzimE/s5cIv/iwOI9bBQOdBlBOnuE/ffppA4vS5A8x02JTDcwSYwWFomxOfYI0LuYyGGQelnV2f3kBHt6+Ojx/1hsFUANUFgOw+TZacRz8yLMRQi+znwAck0wTixCnuGsCGjz2MT7aJ0R91u2NbBICDwQC33HILrrvuOlx99dUAgCeffBIAcNttt+G3f/u3cd999+GFL3whXvWqV+EHP/iB7d85fPgwpqen+de+ffti4e+nXkrKB7pSATY2jK+K82nZjyIpJQU8Pw+cOWN8zc87vo13AbssLntnjP+fZ6IGgD44NdreGyY77UZWAH3wGUmZOdnAyDp9+7xn5qHG+ZkuyrCm8ckHMD87ky72RkxxCq1K+uTDApaFyaKtbxowqshFCpI9ODU8CvhFsGd+I6wZtI/rU/Oo+RXBGmgimcB7cPJTzgCY4+AiK4B+1iCPphSzBjBiAOhzz+BBssueIW08HcE3tmwKWMShQ4dw9OjREXVvMDAW8Le+9a1485vfDAD40R/9UfzzP/8zPvShD+Hw4cNjf+fWW2/FO97xDv7vWq0WSxDoZ+yRlKJeTTNmO/rk47bgMQWw1oownziTMeZeesCPB9cFw9qtZ843gvMIyMmPR1lFVg2gDz5iAOhU3yZNAfR5z3z5AMqwpvHJR9d1UwEs5wDY/zeZRUxoBdAnnyUhAHRCMZeBphmjWFvdASbt/aIjc+IdpS6KPwNLOYbuAvZxffwE6gysFOVslIOoByfTpcFdT5mpGHzXml30B7prujgKH8C04XFqShF9ACN5kfrcM/w8QyyjFOeIzO2OLR8A3nTTTbj33nvx+c9/Hnv37uXf3717NwDgqquuGnn/c5/7XBw/ftz2bxWLRRSLzguyKpgF/G4p4PgkfV5g7PJhniobBdid3gBLtTYu3KGm/gbwrncBgL08AIwhBeyjacecxRnf3NRSPuOoJolTNyKbU/sACwCdLFcAod4uhpqgeqcP1h80VcqjrzsEgNl4UuW8A9glANQ0DaVcFs1uX2maPIgCyN6j0gdwgweA3nyYQb5K6xX2GfZUAIc1gLpuNNIxRVA2usIkFqdJIOzadftGeUioA3oA+DkUl/PxztombOEUsK7ruOmmm3DPPffgc5/7HPbv3z/y84svvhh79uwZs4b5/ve/j4suuihOqp6IrQmk3QZuvNH4ajunTPwU9GqaxtMvy2HH09VqwGWXGV8u9ZbrHjWAALB3VlIK2AcnP9enLCsF7IOPP7XN+Jmug1tsqOIDmClUN9VEiirpkw/rbC9kM65dwJEVQJ98Hvr+EgBgz4x7w5KUOkkPTl4dpSLYobAeVgH0cX14DaCPFLCU+bsenPxYnACG/RPjHCkg9eIjBFBOQWm1kAM740WqGw+8Z7jVRVMKOG5sWQXw0KFDuOuuu/DJT34Sk5OTOH36NABgenoa5XIZmqbhj//4j/Hud78b11xzDX7kR34Ef/M3f4Pvfe97+BgbbZMStHwUGbN0SLPbR68/QC7MKJ1eD/ibvzFef+ADgIPa6eVzxzBTyePZ1SafHBIYrRbwxBPm66mpsbfouu4rBcwUwGdXIwaAPjiZNjAuBc+yUsA++PiauiEEPe3ewFWZi8oHMAOogkuwJaUu0Sefms/Ggsg1gD74HHl6BZ/5zhlkNODXX+Z+GDWuUTda2syDk58DDQObBxx6E/dxfdYDKICzMgJAiddnpprHeruH1SgBoAcfFrAXhMksVmQyGiaLOdRaPaw2urxkJzD87hk+1iCeAqYmkNiwZQPAO+64AwBw4MCBke9/+MMfxo033ggAuOWWW9BqtfD2t78dKysruOaaa3D//ffj0ksvjZmtO/xMTRAXw412DzMVNemFwUD3feLlNS8NdZ3Jre6Ap+7cUsAXDJWUZ883MRjojqlQGTAD5BhqAH3Az/Mj2mm0uwMgbD2ZT3hN3QAEdSuGzmQWVEy5eFsCZsCqsgv4P91nZCXe9OJ9uGLnpOt7yzFYZ/COUh+KG3tP6CYQHzC7gL1rALn1Sl3dGuTngMUwWyngxEpTKZ+GjxIdALhscQJfP76Ko8+ueT5nUdH0oSLzFDAFgLFhywaAuu7P8Pdd73rXiA9gGuHn9JTPZlApZNHo9LHa6CoLAMXN2M0GBgBmygaHSKddD7AOYE1zD7h2T5eQzWjo9Ac4u9Hmk0pUwF8KeKiUxFDw7GeDYqOY2r1BLFYwfhRA7k0YQw0gSwF7qUqq/RJ1XcdXn1oBAPzuK70PosyWRmXhPLd98mUDo34UnJ+SDwZmvaLSfNnvgRgw6wBVegHyOcAeNYkvvHAWXz++iq8fP49feOFe1/dGhZ9rZB6KKQUcF7ZsDeBWgp/TEwDsiGH4uViz5jUXdHqoAK6GTQH7gGgB46bq5bIZ7BoGfZE7gT0QbLFTH2z5qQEE4jVi9TN1IxEF0ENVKuQipoA90O3rfKyYnyaBOLwSzRpAPzYw6kfBBUkBzwnWK35FgaDw0+DAMDtcE9UGgP72ixddNAsAOPL0qjIuDH4aiZhiGZc5PoECwE0Bvwseb7pQGQC2zWDCK43KDGxXFaaAzQ5g78WXWWosK57FaRrDOt+viRi7tps+upKBeM2g/aSATR9A9XzEGkA3FBWngMUGHLfgmCGOcXANPmrRjw2M+k08SAp4tmq8pz/QUWuq+aw1AwTIM1wBVLgmsmDLI2X/nN1G7eDxc+rnWvsxE6/Iaowj+AYFgJsAGz5sTgBgnpueKkx3dP0HXKLvlSr4vTaAefpWmZIG/C12U7FObvGnAIpWMKrhKwVssaZRieAKoJpNqi0Ecm5jzhjiUNz8THFgMG1gYlAAfXzmi7ksbw5TZQUTpAaQdSWfU5ql8bdGM3W03ukrP/TxcYKuWRH1U2QIo6AAcBOALe5eC958DGOPgtS7xFIDGGAzmI3h9A34u0aG2bBZe6YSTZ/3rBSj4mYqgN5dwJGtaXwgaA2gagUwn9V8NSpxmxOFh756gBpAdhALbQPjA3w99JECBkwVUNUItiBr4u5hM9rJ1QjG1B4wx8C5X5+pUo6bUavM0gBmWYlbkEwp4PixZZtAtgpGbE48Frz5qCngSgVYWjJf24Clg7wsYAAJNYDz88Bjj5mvbRCkPmlGRgG2D05+mkCY0hRZHfXBx28NoBQF0Acf47/RH/lv2vIRgsNWN6Q1jU8+LDjwqruLXAPowYcroz5tnOYmJDQ5eHDyM9uawZwEEmEUnMf92ggwCg4wDqIn0Ax/EPXgFMQGZq+MiUQefHhZjAcfTdMwW8ljeaODlXonXGOcjz0DMJVttwOf6QNIAWBcoAAw5Wj3Buj2jfSX14LHa9zCKoCaBiwsuL7Fr8UAYNYAhraByWSA5z7X9S1+PBIZeAo4igWDB6dOb4De0JfGLUhmdiORawB9XCOefvEKAGV03frgA5gBlFugU8iao86MgNG75issHxYA7vAIACPXAHrw4cqoz8kMO2R0uXpwClJny4KOeqcXbqKMj/sVJCAFJJjke3DyW2IBmHZUJ1db4e2ovO5XJ0hZTAHLGx2cD/v8+NgzAKDFjd99OCNQCjg2UAo45RBre7za+hdi6AJuBgi4mOKmsgvYj8cd5yNrGLsPPoB7Smh6GADGkwIeePIBJM3e9Qk/gQ4bdQaot4JZHm6Ac74VQDXXKKgCyDr/V8JO2/GBIAEX8wEc6Oq6yU2jdX9BMg8AFaWl/Uy5YLDaUalAw2cTCCAYZStcE3Vd58+1mwJIRtDxgwLAlENMd3idFlkKOLQa0G4Dhw4ZXw5jfeq8C9hPytVsuhgMQhTx12rA859vfDmNXfNRW8JgNoFECLo8OLEmmXxWc21wmBI2pX6Ya+OTD+C/SF2KAuiDj7gheAU6xag2Jz74AGYAxQIqRz5MAQxbk+jBx09qXASbdXsuSg2g1zMdIMUpenGGakwJ8Dz74QOY3cLrYRuuPDgF4TNqRxVyKpEHH782MIBolK1uzxDLJdwUwApXjykAjAuUAk45NgKkX8yFLuRJt9cDPvhB4/V73mM71sdvhxlgqlwD3Qh0pj2mLIyh1QKOHjVfhxxzxiDFhNWDk990kGhhsdHq8XpJ2XyAID6AEnz3fPAZsTrxCHQMBbAbbfSaBx/AbKJgAZUTuAIYNkj24OMnNS5CSgrY85k2vTa9kMlo3JDe+D336xmUS0coifEfAEZMAfu8Pl4lFgwXzJTx7GoTJ1eb3ItPJp962//9MkflhQyOfewZ4mfFvQbQ4EsKYHwgBTDl2PAx55aBNYmotIQIUvBcymd5UKFqHFzLp8cdYCqSKruA/aaDCrkMD8hUW8H4TZOzDUz1AiwGc15ed3EYHbe6fa46KFcAPeDHHkcE43u+rsboWBz96KfuFxA7geXfM/HZ9F8DGFEB9MnJb0DKygxUuSP49QEE4jGmZgfKbEZznVHPrl+nP0BXcdc/wQAFgCkHTwH7MD1lQWJH4TivOle4/HfgAcBqU5EHFwtuAiiAqwqnAgRJvzArGJU+iYCQovK4RuWYjFjFBgovpSuO6SRMPctnNU87IdXj6fzY44hgwURPkdGxOGLOj6JkvM9sBJENVmKRy7iXWIiYUmy63giYkp6RUYrixidAlmaOK4DqAkD2WSl53C/xEE+dwPGAAsCUw68HIDDa9q/i9A2Yrvd+FhdA/WIXyIR1wtwsVamAfjtuAcEMWnUA6NOnjG1gqn0A24LK5dUlylVJhZzM9G/Bk08hZQqgaqNjFsRpmqnGekGlF2AQzz2GyClgD/j9fDGoHpHp1wcQMJ0jztTU+RK2eF2r+/UpZDPIDevcKQ0cDygATDnWA6SAc1kzrajKiDXoAjyjeLEzA0DvR7mYy/JGmZOrIQuwPcCUKj+bJbOCUdklDfgPkuNSALknmI86t3IMAeC5YQOIV/0fIIzLU8THDAD9BzistlaFksw24moh59vShU8DUZgC9qu2AWpTwP2Bzg80fg6hgGiQryoA9G/cvXvasKU5rTAA9KsAaprG9xWygokHFACmHPUAo84A9TNmeT1QwMVuTVGNSStgQLpnxujAUxUAstS7Hz7MFPYpxbM4/aqSbNSXymALMNUzP52ucdQALg19MxcnvQNA1Qpg0BQwIBwkVCiA7eCKG6sVVJICDugBCKhVAMXPil9OqkdkBrGB2T1trIen1lrKymL8KoAAmUHHDQoAUw6/I6oYmFKoqhHENIIOttipTgH77cDbMzzxnlpTc+JlgUrJh4Jz2cIEAODxpQ0lXBj8pqiYiqq8CaTLghzva1SOIS29NFQ/dk75UQANPt2+Hs7ayAOd4WbpNwUMANMKa0kbAcbAMahNAQ89AH1+3gEJ7gg++ARJkXODfEV10fUAZTps+kenN1BWFmN+3r2vT5XPA6YAMA6QDUzKwTpE/VqoTERZfMtl4Ic/NF/bIIgnGBCx3mVuDvjCF8zXNghSAwgAu6MqgB6czBSwN59LF40A8ImzERRAH9fIrw1MRYYC6IMPU8/8BDmRO5N98DlTMxRAP6OwRM6d/gClTMDxdB58uALo0wYGkGAq7sKpHkJxq0ZRcTyuT7gU8HDudtgUsAsnfrjKZ32nyKejHoo9rlEjQA1gIZfB/EQRyxttnFprehqhj8HHnsHWHz8KIKWA4wUFgCnH2rCzbypgABjK9T6TAS6+2PUtQQPASPUuuRzw4z/u+pagBdh8FFNYBdCDk7nYeW/gl7EAcGkj3NgsH3wA/0FyScbi64NPEEWgHLUL2AcfVgC/6CMAHJ1P3PetPPvlwycm+FSTAKHMImwA6MKpEcCHlCGSAuhxfaI0gWy0e+HGr7lwCmpKDYjOCPLvV6c34Acsv13bu6dLRgC42sLz9kwH4+Jjz2CHGq8aQIBSwHGDUsApBzvV+1UA2eK7oawGkKVggta7KKoBDKoAsqLnNdVNIN58Lt5RhaYZG9NylEkOLtB13UyTF9w/7hXecKHWg4tPuwiiAMZQA7jTRw1gPptBdhhAhDandgFXR4MogAprysLU3JlNICpsYEIogEXj+ui6/OeoEcCGioGviY2u9Lo78fDm17dxF6sDVNQIEkQBrFAKOFZQAJhysEV9ymcNIDvthlp8Ox3gj//Y+OrYByS8K9CvDUw5QrpjYwO49lrja8O+Ti5IwAUAs9WIZtAenFjBs58aQJZ+ASLYMHjwafcGYHuM1ybOVJVmFAXQxz0LYnViKoAhNwQffJYCKICAGbiG4uTjfgH+NkuG6SifMQ9OvOY3VBOI/OvT5Hz8B6SlfAZMXA/VmOLCKUxKmgWAnf4gXEDqwodd80Iug7zPQ8Q8mycd5hDqY88IowBGWoMIvkEp4JQjqAIYKQXc7QLvfa/x+rbbgMJ4PUg9zhrARgP42tfM1xMTY2/h6c04UtI+OPEmEJ8pvF1TJZxdb+NMrYWrLwiYfgnAB/BvxBpJJfFxz8xO1xiaQDz4DAa6qQD6aAIBjMNGo9MPpwB68PE7I1nEVFQbGBdOYWoAI9Uhe1yfMClgTdNQLeSw0e4Z9XGT8jiZfPxfn3I+i3xWQ7evY7XRDXRtPfkEsIBhMM2g7Wf5usLHnhGmBpDmAccDUgBTDt4E4nNWrOoUcDPggqfa8ypoF7CYklZhexBUkWRBhyofLrZBFbIZ1zFMgOC5p3jx5RuCD0WAvUdVCvjZ1SZ6Ax35rMbVWC+UoiiAHmgHNIIG1PoAhqkBZAGNik2cK24Bay/NwELuuuh3yo4ITdOUdSaHCdiZ/2WkedIuCKIAUhdwvKAAMMXQdV1IAfsLACOlgD3Q7YsFxskHXP2BzhUTvzWAbBxct68rWWTaARVA1nnKOlFloxmAj5l+Ubv4sk3Pj7VRWTGnbz6zCgB47u4p3ykzlePpgtRHMswoDADDKYDqzOiDNqExROpMdgFLVQZRJAFxPJ3ce1YPEbDvUDwOLkhjHKWA4wUFgClGqztAt28ETUFTwCp8AMXFM+gkEBUBl6jA+A0AS/kMV1dUDEDnNYC+FcBhAKjIlzDIrGQ+CaTbV2YKC5ib3qSPQw2vAVTQcAEA33pmDQDw/ADp94JCBTDoKDjATAGr8bljk0BCKIBKR8EFS5uq4hQmJQ2Yz35oaxoHBB0cAKifBxykLppSwPGCAsAUg53osxnN94k3Ug2gB1gwkc1ovmuUyvksf6/skWdiWtCvYqJpWrTGFC9OHf+LHWCmgM+sqwkAefolQP2NrqvpcGWoBVAAudqmaEP49jAAvGbvjO/fYZxUXKMwKWA+nq4n/xoFNX4HzOBDhcLe7AZvSjE4qVEAg05GYlA1ncQM2NMTAHLbJx8KIONNs4DjAQWAKcaa0ADiew5nDC78lYJ/01NN0wTjU7kLjKluZQJ5e6kcxdQKsNgBpgJ4WpECGERREoNElQswU6cn/KSAFdvAnBzaAe1fqPr+HZXj6ToBGmQYCjwAlB+Q1tvBU67VGFLAQRU3VQpgmC5gwCzpqUmvAQweILMA8HxDTV10O4QCSEbQ8YACwBSDpQf8WsAAgumpwnRQ0MVOleIW1APQ5KOuMSVsCph1osoGW3z9KLb5bAb5rBFIq/TdC5ICLkW1gfHAuaH1hd8GENWcgjTIMLB721EQAIaxgWEqjoosROgaQEUKoOlCECwlzaeTyM6KhLg+LADs9nXpASlgKoB+DqHsPqmak0wYBdnApBhh6jki1QCWy8DRo+ZrC8KYwgIR5gHPzQGf+IT52oKgY+CsfELVAHpwCtoFvGsYAK7UO2j3+oGUHz98gtaUlfNZdPu98CdwDz6Amfbyc7BhalvogNSFT6vb55+THRP+R2BxH8AwAZfPZzrIBs74dPqDcBNlXDjVQ6QUmeLf6Q2CT0vxuj4hA0CzMznEc+3CiSuSgVPAEeo2XfgEsVhiKOWzqBayqHf6WKl3fNebA/DcMwCg3fe/Jj5n1xQA4NETq2h2+oGVXkIwUACYYoSp56hGCQAzGeB5z3PhE3wQOwBM89FHAQOuXA54wxscf8xTwEEVySgpYA9OvAvYZ8A1U8mjkMug0xtgqdbGvrmKVD6sa9uvojRVzqPW6oWvTfLgAwgpYB8Hm8g+gC58mO1FIZvBZIBDFq8BDMPJ4/qESXGy4F7XwS1tZHHixssBukonCjlkNGCgGwpXoADQ8/oEm0TEwLuA23LvWTOEQgqINYBy16B2gI5bEXMTBdRXmlipt7F/3n85hNeeYXDyfwh9zq5JXDBTxrOrTXzx8WW8+qqd/rkQAoNSwCkGV9wCLL7i3EvZ9RxBp4AwTJVZukONB1dwBZClgBV0AQf0JdQ0jTeCLCloBAmqAKqqTRJh2sAE6AJWYLlybsNIu++YKARSzVgtk4qau2YIlV1Ue2SngVkNYJBDaCajRTendkBoBbAYQQF0QdiaRHZ9ZH/O2iFGCQKmF+BKXX7qNYi1kaZpuP6KBQDAkePnpXMhjIICwBQjTP0NU1X6Az34ptnpGG7ut91mO9an3glZ7xK2MWVjAzhwwPiyG7sWMgCMNDrLi1OArluGnZOsESREHaAHH7OpwK8CGLE2yYMPINYA+u8Cboa1pnHhw+r/gqR/AVNdCT0KzuX6hPnMi8F9qADQhVMYPoB5kAgcAHpdnxApcsBUAEM1N7lwCpOyByIqgC58gnTcipgbZkUCTwPx2DOA4GnpS4YK5ImVRjAuhMCgFHCKYXbg+b9NRoeukQ7aaPeCnUy7XeD2243Xf/zHY2N9eLojYMAVOi3daAAPPWS+toyFCjoGjoGZQYceT+fCKegoOEA0gw6hAHrwYSng4ApghLFiLnyMvx3cBqY/0NHt6yjkAqY3XfgsMwWw6r8BROQUKgD0uD5hasqyGQ3ZjGYYo/dDjqdz4MSNoAOkyIEI00n8Xp/QNYBy71n4LuAINjAufPjnPRuMT+hpIB57BhD8ELpvzqglPHG+GYwLITBIAUwxwtSXaJqGiYIaM+gwKWlAnTVNsxNcbQPEphS5KWBd1wOngIGIAaAHeP2Nz5QQT01JTtdzPr0+3xAmi/5TwIDZYS0LbLMLqgCWFNmu9Ac6/5tBAwoVncC9/oD/vSBG0ICa8XSjfALWALIuYEVrYtA1KLRC6oGwCiD7DKxsyC+LCeptuXfWqIN+hhRA5aAAMMUIM4YJMP3VZFvB1EOedicU1d+ErgFUZEvT7esYDLOUfo2gAWBxWAN4VoEVTOwKoAfEZ9KPD2A+a6hbgHwzaGZ8y0Zh+UVRkQ2M2Okc9DOvwguwEYGPigBQ5BNeAVQ0CziwM4KaOuRO6BpAdWbQQccbska4c/WOEi9JgoktGwAePnwY1157LSYnJ7G4uIgbbrgBx44dG3nPgQMHoGnayNfv/u7vJsR4HOE9r9QogKYiGTAgLUZId7ggdA0gUwAln75FhSrICZx50J3dkB8ABq2/iVwD6AH2DFQLWR7YuUHTNK64yfYmbIasaeU2MJIbU1i9naYFKyEAxABQ3jViHbP5rBZoMgkAJU0g7H5ltGA+iYDKSSDhaiS54lbvYDCQ16wXugt4GAAGTgH74sRUSX/XaLqc5ynyZygNrBRbNgB86KGHcOjQITzyyCO4//770e12cfDgQdTr9ZH3/fZv/zZOnTrFv97znvckxHgcYRcXVfOAw3peqUsBR6sBXGt0pXZKs4BUC7hBLUwqVABT1gXMvBeZAuIH7P7KDgC7AS1yGFQZQfN6srz/STsMKlLA9ZC2T4AiBVDIiAS9PqongYRdgwa63INoWAVwhzANRDbaAWsAAeCCYRr41BoFgCqxZZtA7rvvvpF/33nnnVhcXMSRI0dw/fXX8+9XKhXs2rUrbnq+wC0YAhZgm1YwaiwYgtrA8BRwGA8uNz4h6u0Aswaw0x+g0ekHvr5O4CfdXCbQBjU/VAOWFdTfBA4AFdl3MLC0+2zVv9lsSZEVDLs2QX3zVM0CboRUJAHBDFpmCjjk+gOoCgCHAWkIc2BWM6hsEkjANaiQy2CqlEOt1cNKvc0VuKgIqrYxzDIFUMkaFHy6zcJkEd89peZQTDCxZRVAK9bWjKHvcxbn9P/1v/4X5ufncfXVV+PWW29Fo+FceNput1Gr1Ua+VCL04HPeBCJ3seOKQMgCbNmKZNgUcDmf5SdkmafvMA0gALAwwTy42uhLTAcBQKfvfxQcYHYnqkoBcwWw7H/D41YwkjfvsGqJqlnAYRV/wAzwQ3UBOyDMXFmGad5MJD8FHIZPRcF84m5/gG5fD82JlX7IDLqiKoBqagCDHUIBYHGSeaNSAKgSW1YBFDEYDHDLLbfguuuuw9VXX82//6u/+qu46KKLsGfPHnzrW9/Cn/zJn+DYsWP43//7f9v+ncOHD+N21vIeA8LYwAARmkBKJeArXzFfW9AQUlSB+IRtApmZAe6803xtgWkDE2yx0zQN05U8zq63sdro4IIZ+xFGQTnxMXABx7nNVQvQhpMTVuodnhKOygcI5sIPCBt32CYQDz7nhwogU2H9oBwl5erCx1RHg90vVk8ZahScC5+wNb+AEABK5GQq/sG3idBNBT6uT5iUtKgABh6X58BJVBPDqJJz1QKeXK4Hr7tzuUa84SJkDWCz2w82gs1jz9B1PdR4OpVlMQQT2yIAPHToEI4ePYqHH3545Pu/8zu/w18///nPx+7du/GqV70KTzzxBC699NKxv3PrrbfiHe94B/93rVbDvn37lPGOXgMYcBPPZoFrr3X8cdgTOAtI68PpJL4X30IB+M3fdPxxWAUQAGaHAeBa0E5gF06sCSRoAX8um8FcpYBz9Q6WN9rBAkCPaxR0FByrzTtbM9RIP40aQfisDRXA2SA1gFECQBc+7NoETQFzPmEUSRc+YT3ugIg1gA6coiiArMkhcHDj4/pEUQB7Q6/EQDO3HTix5zGb0QIrbkCExgu3Z5oFWwH5TBRzKGQz6PQHOFdvY2/B50hKjz1DVKSDBKULChvjCCa2fAr4pptuwr333osHHngAe/fudX3vS1/6UgDA448/bvvzYrGIqampkS+VCLvgqaq5M30Ag6aAjfd3+7rUuikWkAatdwHMFOR5iVYwYVPAgNAJLPnEG9SE9dKFKiZLOay3e/j2s2tSuQDm9Z4NoACyjUNVE0jQDlcWoDW6ahoKwgQ47BrJTAE3QoyBY9ihoKbMLIkJzkfMWoSaB2yDRoSmHQDYwUo/JF4jrrYFPIRqmqbECkY8kASpAeTWWDUKAFViywaAuq7jpptuwj333IPPfe5z2L9/v+fvPProowCA3bt3K2bnD2LXWxBMhHWZ73SAv/gL48tmrE9YRVLcQALV4GxsAK97nfFlMxYqbAE2IFrBBFzsXDi1QhZgA2bKYznoidfjGgVtAsllM7ju0nkAwOe/fzYYFx98QnUBC+PgZPLh1yagWsKe/9BjxRz4mCnO4AEO+38IdcBy4FSP0HTBgpuNdi+Ycuvn+oTgk8tmeAASuBTFgRNbD0sh+ABCkBx0/JqvZzpcShoIGAB67Bni8xjkc0YKYDzYsingQ4cO4a677sInP/lJTE5O4vTp0wCA6elplMtlPPHEE7jrrrvw2te+Fjt27MC3vvUtvP3tb8f111+PF7zgBQmzNxB7CrjbBd75TuP12942NtYnbA1ONqOhnM+i2e2j3u5jx/h0MHs0GsCnP22+HhsFNwjFB4hgBu3CiSuAARUlQOwEDrjgeVyjoEbQAPDyy3bgvu+cxtfDDGP34LMapgawEKEL2IVPZ1jAH1QBZJ/HUB2lLnykNIGECQAdOLH/vzAK4FQph3xWQ7evY6XewR6/dbYu1yeKQgoYmYh2rxP8vjlwisrHdGsIMSLT4RqFVQCBkAGgx54hNoAEUUkXh9ORlhRMRyKY2LIK4B133IG1tTUcOHAAu3fv5l933303AKBQKOCzn/0sDh48iOc85zn4wz/8Q7zxjW/EP/zDPyTM3MBgoPMNL+iJV5ntSoQFbyLsYueCVgRFgAUgMm0qeE1ihI5A2SngdghF4Dm7jNKGx5fGFbyoYIprkBpA1lQju+vWtIEJlwJudvtSfSSjfL5YI4tUGxgWkAa0fQJGU4qy0sBRagDF35PVCRwlAyHykZWSBsKr2oCaaSDcmDrgIYvVkNY7femfe4KJLasAei3M+/btw0NsoHYKIU6VCLrA8MkbEoMtXdf5KKYwXYGTpRzOrreljhgL6wMIqBnFxLpCg3YBA2IKWK4NQxgLhssWDUXhmfNNNDq9UDVXTjhfD68ASreBGX7GgiqATBHTdUOVDBPw26ER4QDBm0Bk2sBEqAEEgB3VIs7U2lgOmuJ0QJQUOSDfC5B3/YcOAId8JAY4YbuAATXTQMJ0AAPAZNFUkM/VAzo1EHxjyyqAmx1iuivoAmPawMgLttq9AfeoC7NBKfEFi3ACZwGIzCaQNg9Iw6SAQ9YAeiBoEwhgbASsPumJpbrHu4NhNUQXsKrJG92QKWDxeZM5WzaaAjisAZRolh1FAQSEcWeSDjXNCClyQL4XYCukusX58IONHD6DgW4+0yEUQO4FKNOXMMT6A1iaUhSYUxMMUACYUrDFpZDNBLbiUJECFtWXoD6AgJoRY5FSwGVzHJw0PlG6gBX5XoVVuZgK+IOldYlcBqgP71mwAFBNF3DYdFkmo5mcJKqSjZCztgFhEkhfHp+60OUaBrJTilGaQICItZs2YOpWWAWwLJnPqOVKCGssdr8kZkXCjIHjfCry+RBGQQFgSsE2uzBSvopZwA0hIM2FOF1OpVQBDNwF7IIoKaEFVQpgSKuTC+cMH7CTq/JmcbJrndHMAng/iNQF7IKwNjCAkL6TGgCGf54jNYE48WkzBTBcypWVQrR7cq4RW4PC1wCGNKR3QCuC4i/ykR2QAuEUQLZGr0vNHIU7gAKCgiyphIAwDgoAU4ooJsdiw8VA0mixZsR0EB8xJmlx6fYH6LGUdJQAUIECGCZon5801RKZ4+DCqly7po0uvNMSu/DYtZ4u55EJoGozpURmehMI3wQCmM9cQ0EKOOisbSCiEbQDonQBA/KD0shdwJKbLswUcFRFUs4zxIItTQtubg6Ya3Rg+zA3ThGsseaq8kflEUaxZZtANjuiqEkTwom90e2P/NsVpRLwwAPmawF8LF3IdEeo4fAzM8D732++FiCqQaWAo+AAsQmkG2w6iQsnPgkkxIawo1oMNw7OhQ8QPgWzc2jDcHot4Onbhc/5evD6P0CYBRx2FJwDn3YkBTBkY4oLHzPFGcIHMMosYAdOpvF7uM+8ySnAgcb1+oSbRc5QiTKS0oaTmQKOVgMYWAF04CMe9sIYU0+FGQPpsmcAwScRiVA5n5hggALAlCKKAljMZZDLaOgNdKy3uv4DwGwWOHDA9kdR62/MFHCAxbdQAG65xfZHrP4vo4VLd7CAtNMfoNnt+6+7cuMUIWjPZjRMFHNYb/VQa3X9B4AufIDgRtAMu4YB4JmgCqALnzBzgAFzowxV0uDAR9d1ngIOo5awYCLw5u1yfXiKM+RnHgipkjpwYoFSrAqgy/VpRqxJrIYNuBw4tSPU/AKjKeDAIzLt+ESotwOELE2QNdplzzA4hW+U4TWAFAAqA6WAU4oo9SWappkmo5Lk/ChjmACxCUROylWs/wtz2q0Wsry5RlbKI2pNEL9GkuokdV03r1PAwJ0rgBJTwGvN4FNAAPO6yExN9QY6mFNUMcTUBBaEyLTw4DV3IQ5ZojehPD7RUq6mNY3k0WtRawBldQFLagLpD+cTR4V52AtbpmPWAMryt+Qp4BAB4NwEBYCqQQFgShFlrBgATIYJuLpd4AMfML66o78XdfGdKrPTZQA+jQbwpjcZX43GyI/CBjYMYpAsi1NUXzCzCDvABuXCp90b8CAnaOC+c9psSukF2Zxc+IRVACM1EDnw6Qr/T1FSwI0wUxwcrk8UlT1SQ4EDp3pE25VQCqCi6wOYtZWhJoHYcJJlAwMELCVw4BNZARx+zga62QHuCZc9Y5RTCGeEasjpSATfoAAwpYjqMs+DmyDBRKcD3HST8WWZ6xhVDQhVA7ixAfz93xtflpmXbMEMG2wBIVVJF04s3RFeAQzRKOPCR9zogj5H89UichkNuh5wHqcLn/MhPACBiA1EDnzEoCRMCji0hYfbM827XIOr7JHnE1s46bouNKWETAGHaUzxcX3C8gmtADpwakc88OWzGX6NAj1HHs902ACwmMvwz4Lvw5bLngFESwGzMpglydZYBBMUAKYUstKJstJmUTzKVPCJGiADgiopOwUcNgUTpk7SBeyeFXLBvSQzGQ2LwwX49Fr0NLCu63jsZA0AMBtSAVxv9aR1SLPNMqMhlK1RRUXKNYLixgJSWRYnHaHLPrICKGk6CW8CCVsDWJR7z1oRghuGssRO4CiWK4CRFZFdqhO2BhkAFieH84DX21JHLhJMUACYUkQxFQZMBVCWp1NUD65Q6VYXtEPOSRYhu+aOn8Cj1gDKqpOMmLbfOR2yEcQGD37/LL7wg2XkMhpeecVioN9l1wWQV9Pa4Q0gUT3c5E1xCDv7GzBrEmUZU4tWKWEPfWYKOPrmLV6f1NQActun8GtQ6MYUG0RVAIGQZSguiJKWXpwyDqCd3kDaoZgwCgoAU4ooXcCAWQMoTXGLGExMCBYMMk5zUeYAM8ieTtKO4CsHyA+SGxG7JndxK5joAeAzK0at0k8+ZxHP3zsd6HcLuQz/HKRBmQDkT5UQVakwnzHZpsJMSSzlg6vHDDLnE49en3TMAuY2MFIUwOicotTbMUzJPqj3wteyl/JZviYurctrRiOYoAAwpYjaUCA7mGA+gGE9uNhCN9BHHevDggWkUlLAkq5RN6KqFMqHywVRi+bNTuDoNTiMy0SACSAi2L0KVEPqAjYzNfocV7kdrkC4EgKZqURAzufLVACjX6OR6xPWd68oN00eNUsDyFWSox5qgJDNgy5oR2yUWaQ6QKWgADCliDJVApDv6m7awERLvwByNk0pNYCSFzs+iD1OHy4XtCI0FQBmALgkIQUcZcwZoC5dHzZYL/OxYpIUQOH6BJmSwiC7JjFKQwpDXuJ0ErEmOoztEyAogNImgURPucpVAKPXJJqHYrmlFmE58TWIFEAloAAwpWAFxqE3TMlzHaPawGQzGl8EZJzAozbJAPKbLsKOXRvjkxIFcNfQCkaGF2ArYg0p6yI/J8kTjHnTRU0BNyWpSY2IBywW3HT7+ojFTViYXfbhP19FiU0gZnATRW1LnwKoogYwigIoegHKAKvVDsuJK4ASshCEcdAkkJSi2ZGTAg6kABaLwL33mq9H+EQLJgBjAW73Bv4VwKkp4N3vNl9L5hPKXsSFU+QUcBiVy4VPlK5SIKQZtAOfKGPOADN1fPPffgMv3T+HxanxsVNB+LDGhPBNICE3bs/rE81UmP2t6XKA/y8bTjJqbEP5ADpcH7MkJnxww+xjWt0B+gPdf22j4zMUbY0GTIU1UFbEgU9UH0BAPIT63Ddc9oxRTuGuEfucyzoUE0ZBAWBKEVUBDFXLkcsBr3udAx9W8BxtsTvf6PpPm5VKwG232f5IxgYVqlHGhVMnwmgxIGSdm49rFDUAPBvk9O3AJ2oKWDSD/dIT53DDj14QiQ+7V2HVWvb/ETgAdOATtcmqIIx/bHR6XDENy4l3JEsIALtBZgE7XB/TYzO6AggYh6PJks9r5MBJRhYilH2P4zWSUANYDFgX7bJnGJyipaVvefXl+KODV0b6fyI4g65qStGOuLiEUgB98AlbkwiIqkl0TjJqAGU3yjAFMOxiNTd0vmcTM6Ki0Ym2ac4NDZvX273IacWoKeBfe+lF/PWxM+uRuABCDWDIe8XUJNlNIFFq7mTWk3EXgggKeygjaEc+0dWtouCHKeUaSei6ldlMJKULWJUNTNjGnUKOgj+FoCubUkRVuEIZL3e7wJ13Gl+WsT5yFMCAi12jAbzlLcbX2Ni16IoAt6YJ4gvmwilqDeCOqpFCOd/o+Dc8duETfXxfHixLxqZ4hOXDTXxDcvmVl1yIf/e65wIAjp0OEAA68DFtlsI2gbBZwCFGwblcn7D3SvzdwMGEDSeZKeBAXf8O10eGAqhpmlkHKOEzH/WQDoS073HgI6UGkJvj+zyEuuwZgKBKhpi3TVAPCgBTiqijzibD1Ld1OsCb32x8Wcb6yFEAA3ZObmwAf/3XxtfY2LXoikA1TADowKk/0MFitrB1ZbOVPDQN0PUAAZfLNYraBZzNaDyVuOpXlXTgEzUFDAAv2DsDAPjeqZr/X3LkY9zzashrY84CDjEKzoZP1BSw8bshfe5sOMkYtWh2AQccc2ZzfXgNYIQDKBDSC9CJk5QawBBZEQc+UrqAg9Yhu+wZBqfo6zRBHeiupBRR1RtW37LR7mEgYXxWW+JiJ6NzUsZplweAEtIvYoo0bFoxl83wObnnNqJ3u0YdnQUAs8O09ErE7tuo9YgAcMlCFQBwcq0VOSVt+lqGtDXKyzZejtYkA4h1iTJLLNLRBRzVFouBewFGnAbS7Q+4Sh8luJFpKC7XBzA9pUMEdaC7klJE3TCZAqjrwIaMOZMRDT0BoeBZgg+XjMVOTAFHnU4ibnJhU8CAWQd4bkOe+XKUoIvVAZ6PGgBK6NqeERobotZtss9XWAWQ/X80u30pByx2KAo7tQUQZt3KqCeTUGMbqgvYiY+E+jbAfJ5PrjWl8AGiHYpTNwmkLHeEaEfSfSOoAQWAKYWZMgu3QZXyWb4AyyjolVHwzDZbGWa17Yj1doC5YfYGeuTpJOImF7YLGAB2DAPAZQl+dzLSilwB9JuSdoCMFHAum+HWPVEbZZgCxBShoBCvaUvipIsoAbJMc2opNYDDz+ZAh/+aVgfI6LgFwMcQPnp8VQofIGIZShgbGAfI9AGsNeWM7JTRmUxQB7orKYWMzducBhL9NCej4LkcpgDbAVJSwIL6IyMlBBjBX9hJBQAwP2E0gqxIUAA3WJATIa0oTQGUMFkCAGaGfNaacgLS0AqgEBjJUG9kqLVMPZRRYiGzCQSIrgKaXcDRlKQXXjgLAPjGidWIfEwj8Sif91A2MA6QUQPIMked/kDKyE6qAUw36K6kELquS+kKDOVz5wAZ6QWp9S4RRwwBQCYjdgVG49QdGgtHUSQBYMfEMAUsQQFkdYTsb4bBTNV4hlbqEVOuEgIcwGiUAYDzEflE7UrOZDQeBEoZbSilCUTe54sZ0UeygZEYAJpdwNE+Xz+ybwYA8NjJGnoRahN5TXTEwEamDYysQzHr/JdhjyUjKCWoA92VFKLdG/CO0igLsCyfu15/gN6QkAwn/rQsdoCpSG1EVADZaLGwDSAMvAZQRgBYN1REZi8Tig9TACOkgAcD3WwqiBgATg/5rEZ8putcAUzHaLEGvz4p8QGMaEQPADlh0ka7H42TOQkk2vOzMBwt1hvo/JqH4xNdIQUidG7bQIbalsloUhtBTB9AqgFMI2gSSAohBkhRUmaBvQCLReCjHzVfDyGmAqIogGwz8b1hTk0Bb3+7+VpAR5K/1EQxi+WN6Jyijhbjfz6oDYMDH13XeeduFAWQdSWv+g0AbfiINXJRAgqDD7OlCc8HABq8BjBiwFUPuHk78GnK9AEMGtjY3TMJs4A1TUMhl0GnN/CvADpcn5aEJjT2+8xqqdXt889bUE6yAtJQNjCOa5CcdOtUOYe1ZtefhZjDngEYa5AsTgQ1oAAwhWgI9SW+51XaYDJoDWAuB/zSL419W1bBM+u69R2QlkrAf/7Ptj/qRJy6wcBUSd8KoAOnbsTRYgyBJ7g48Km1enwEF1MVw4BNBvA9ns6Gj3igiRoAzgT1JXS4PnWJKddAirYDHyk1gFxNCqjc2N0zSQpXMWsEgL7HwTlcHxk2VIARlBZzGbS6A7S7PoNSG04yXBGAkGl7j2sUtU5yspgH0PR3CHXYMwCLMwIFgKkE3ZUUQoYaAIhm0NGkfLHjNhMhIN09Y8yWPbkazYIBkJcCDmUGbYOoY+AYzLrNaClOpv5NFHORNs0ZprhFSLmyza2Yi/b8GHyip6QBM2gL2wQChDg8uEBGl7TUGkAJNjCAPCsYGU1oDOzz0I7QvS0rIBXthCJbUUlaE00rGDn7BkAKYFpBdyWF4GpAxMXFrOXwuXn3esDf/73x1TM//LJMWC+YKQMAnl1t+lvsWi3gHe8wvlqtkR/J6i5jqqTviQ4OnPhs2QgWMIDYue1z8XXgw3wEo6R/AfBJIL5T0jZ8ZG2WQIiA1OH61CUcsljH9tJ6gI5tBz5mE0j4gDT0dBIbTrJSnOY4uGifrxZvJoj+DLFpIi2/CqDt9ZETkLIDiJGSDs8HkNdwMRVk33DYMwCMKKxRMyMENaAUcAohwxMMCFED2G4Db3qT8Xpjw5D3IS+1sGcYADY6fZxvdL1Tk7Ua8P73G6/f9S4j9TEEGy8VewrYgVOH28DIUgCj8WFNJFHSv4AQcDW60HXd2/LChk9X0rUBzJpE37Y0DteHBUlRAq5dU8bfWqq1PN7pg083Wley8bvDw0zQGkAbTi1JTTvloGlyh+vT5gGpDAXQ+Bstv9fJ7vpICkhFhbXe6fm73k5rkDQF0PQC9ITDngGYAWlUqxyCOlBYnkLIUAMA0+i4ETFFJeu0W8pneRfes+ejpYE7kmruJqSNhpLUBBJ0GLsDuAVMhA5gwFQAewM9dGpRZiE4U92WI/okcpulkEbQALBzyuByei1AAOgAmTYwUnwAJaSkRU5R09ItbgMjQQHMB1QAbSArIBWtqAIrt1ZOsmoAw8yRtwGz1pqI0GhFUAsKAFMIWQqgjIUOkGvmydLAz5xvRPo7soIKloKJOi5Pdg1go9OP5FPGauTmqj66HF1Qzmd5kB22DlBWww4ALE6FSLtaYPhsRq8B3DlUAE8HUQAdIIOPTBuYpqRDnyybE9MIOvozxP6GbwXQlg8ri4kekLIsxHo7WsAlTQGUVIe8Mfz/oQAwvdiyAeDhw4dx7bXXYnJyEouLi7jhhhtw7Ngx2/fquo6f+ZmfgaZp+MQnPhEvURtwk9qIiwsLAKOOXpPleQUAF8waAeDJCKpJr2/6JKalCaTTk6NIstM3EK25gNXsTZejBYCappmdwCHHr3Ul1UcCwMJQAVxtdEMX8XcEX8soh6ydPAUcTY3UddMnsVQI//xUJBpTszWoGnHzrkrySuT1bRLWIPY3oozwa0k8FE/yNSiiAijpoBUoBewCVsYirmmEdGHLBoAPPfQQDh06hEceeQT3338/ut0uDh48iHq9Pvbev/zLv0xVjYI5NktOfUmUky4gVwGcCWorYgOZ9gJVngKOdo06fTlBTj6b4apLlC48lr7x5XPmAbPxIlznrayNiXFh13h5IxyfUZ/N8J+xXdNyFMB2bwDWExXlkMWCtahqW7vX5yUNUctQuAIYuQyFTd5IWwpYngK4EUEB1HV9ZBxlFExJSgGzAywpgOnFlr0z991338i/77zzTiwuLuLIkSO4/vrr+fcfffRRvO9978PXvvY17N69O26atpCXAo6e6gDk1ZYAcmxOREuJqIqbLCsPWSlgwLhGrW470gLMAuypiAogEKIT2AKzQzr6tdE0DQsTRZxca2Gp1uIlBUHADlj5rBaJ085JIwBca3ax3uryZzsoRLuMKAFOOYypsA3EWrQok1IAoQZQUhYiqhMBYI5vi5QCZjWJEtbEwP6oNugPdH6IiJ6FkDNCdIMUwNRjyyqAVqytrQEA5ubm+PcajQZ+9Vd/FR/4wAewa9cuz7/RbrdRq9VGvlRAhiksICqAUQexy/PgkuExxQKKjAbkIjeBSPIBlBjkBLaCsQFL30RNAQMhzJctkGWSzbAwTL2eDVkH2OzIKWmYKudw4VwFAPDFx8+F/jvM4y6jRVNvZDVcsHRtMZeJ/PmqBrVZcoA5e1emAihjFFz0Z3qiFD0FLBptS2tEizhukRTA9GNb3JnBYIBbbrkF1113Ha6++mr+/be//e14+ctfjje84Q2+/s7hw4dx++23q6LJceDKBUyX83jOrslIf6cYtAawUAA+/GHz9RCJKYATE8Bv/Zb52sJHhtrGiu59B4AOnGR1JQOCf6OfBdiBj6kARv+ITwdJ29vwkVWczrAQxH/Pho8sk2NN0/Dq5+7Eh774Q/zzd8/gNVd7HyLt+IifryilKJW8ca97A2MEl+/rbeHUWB82pEjYuMtBawAdnmeZARf7G22/5tQ2nMymFHkKoO8UsN1nTCiLkTaO0s8a7bBnAOYBdoIUwNRiW9yZQ4cO4ejRo3j44Yf59z71qU/hc5/7HL7xjW/4/ju33nor3vGOd/B/12o17Nu3TypXAHjhhbN44YWzkf9O4BrAfB648caxb8t04Q+kblUqwP/4H2Pflhls8SYQv6qJAydZNjBAwPFrDnxk1gBOBzFftuEjq0GGIZD9ig0fWR53APATz1nAh774Q3zlqRV/v+DCJ+rnS/z/aXb6/gNAC6f68nnj2xKuTzWoD6DD88xq7mQ0gfBJIH7XRRtO7Z5EBZAHgOH5dEcCwGg1gNNBmkAc9gxACACL0dcgghps+RTwTTfdhHvvvRcPPPAA9u7dy7//uc99Dk888QRmZmaQy+WQGxpYvvGNb8SBAwds/1axWMTU1NTIV5rBFqeoXcByFUB5KeCCxNO3tC5gCSrXbCVayhWQ1wUs/o2wjTsy6yMB4KIdRtr1qXPjDV1+0OwYfKIqgADw3N3GGnB8pRG6+1aWmlTIZZAbjtpjxtJhIMOShoE1gfg+YNlgMND5oa8k4RniKeAI4+mUNIFEWBPFMouoDY1sjW52+yOBZVAwRZNqANOLLXtndF3HzTffjHvuuQcPPvgg9u/fP/Lzd73rXXjLW94y8r3nP//5eP/734+f+7mfi5OqMjBFwPfQ814P+MxnjNc//dPc1V1m+iVQCrjVAv78z43XNo73MrqSWRew7yYQJ07DhTInwepkNsi8Wxs+uq7z+c8ymkBmgtjA2PCRmbIHgIt2VAEAT5/z4SVpw6cp0dZofqKIuWoBK/UOnji7gasvmA7MR6aaVC5ksd7qBasDtHBih6EoJtkMpslx+M/XSJOMDAUwaBOIDSfelCKl6StgCtiGT7fHMhDR1x+xZm+91XOfJuSwZwDmmkoBYHqxZe/MoUOHcNddd+GTn/wkJicncfr0aQDA9PQ0yuUydu3aZdv4ceGFF44Fi5sVrGC60x+gP9CRzXgsDu028LM/a7y2GwUnYfENpADWagCruXzb28yxUBIDClEB9D3qzIZTS1JdGRAwALThU+/00R/63MlMAftSAG34yEyPA8D+eSMAfGq57n3PbPjIqgFkuGxxAl/54Qp+sLTuHQDa8JE1dxcwVLv1Vi+YGmnhJFUBDGpNY3t9zN+VYgQdtDTGhpPM+dYTQX0AbfhwGyoJ1yeXzWCimMNGu4da02Nkp8OeAYgp4C0bZmx6bNkU8B133IG1tTUcOHAAu3fv5l9333130tRig1gTJKXjTZLFCSApBSwhoGAb1CDIMHYbyAwA2fSO8/VwKVcWqBUET8EomCkbG0BYH0DZTSAXzlWgacB6u8dnHgdBS5LNEsMVO41C/B+c2Qj1+zLVJKa4RSlpYA0bMmsAo1jTsGArl9EidyUD4iSQ6J93OVkINgkkegpY1iFLxjg46gJOP7bsndF13ftNEn4nzRAXp2a3H7qrT2YBNltYOv0BWt1+qBN0p28OGY+KivDf32j7HMZuA1nejQAwE0QBtEFN6ACWYXAeqCnFBvx+SdqcSvks9kyX8exqE0+fa/D5wH4hWwHcM/QiDDueTqbCXpbgu8eCR5ldwFGsaWROIhL/TpRDMQu4ZPgSyqhDlm21NFXK49RaK9JBfYO6gFOPLasAEgybChlm0Mz0VMZpd6KQA4tJwi4uMhWlTEYzx1VFWICbEgPAQClgG6wMVTEWSEbFTMSmFJYClqUAAsCOiaEqGeIayawBBIAdwxTZuY1wAaDMAKcStOvWBiwVWZVQA1iVMAtY5voDyGkC6UgsazDLYsKrbbKmgDDI8ALkNYDUBZxaUAC4xSHjtCtTAcxkNEwUoi14bcm2IjKmgchUlWZZCjhkwLW0btijLE4GU8acwLqA11s9XlsYBLJtYICAXmUWmMG6HD5zVeM6r4RIRwNyRy2WJQRcfA6whBpAPmoxSgpYYo2k8XeiH4pZwJXLRL9nbKTg0+caoedbtyUa0QPRPl8M5AOYflAAuMXBGkEizb2UfAKfKEULuHqSFaUJCTNUVTSBrDY6ocoS2IQM2QEgEE4RkN0FDIgKRfBniN2rqHNuGViRfJh6RJGPFAWQmb9HCLjqHXnXpyJDAZQ4Bg4w10TfPoA2MK2Noitul8xXMT9RRLs3wKPHV0PykdtoFdWuazDQqQZwE4ACwC0OlpKM4gUos0tR/Du+nfgtkJ3uYAFplHQHTytKTAF3+3qoIHmpZgSAC5ICwHw2w9PkYeoAZReoA4JCEYKPqhRwWAVQZopTxji4Bq8BlJeS7vQGoT3lWhJ9SIHo6w8gd/Sjpml42SXGiNJHnvRpKO7ER9Ihayri/G9R8SUbmPSC7swWRzGI51WhAPzVX5mvh5CtALK/4+lPODEB/NIvma+H6A7TkDLSL0CIUWc2nPj8ZkmF/IVsBp3+ALVWj3dO++VzdoMpgKXIXBhmKgXUO03vaSA2fGR3AQPCBuWVorLhw1PAkgLAuWE9YqPT925ssuFjpjhldLWHCAAtnGQGyKKK2Oj0MV32+H+0vT7yfBLFv+M7BWzDia1Bsg41z909hXu/dQonzvvwtrTjw5tAJNUA8hSwxwHUYc9gB9d8VpO2bxDkgwLALY5ykKLwfB44dGjs27IVQB4AetW7VCrARz869m3Zp13WLOF79JoNJ9nWIpViFp3GwDuVZ8NHtgIIGAHXs6tN72tkw0dFAOh7XJUNnwZP10tKlxVzyGc1dPs6ztU7uGDYFeyXD1MASxIULjPlGkA5tnCSeb8KuQy/Ns1O33syje31YVNAZHcB+1QAbTjJVrUDje20+4xJ5uO7CcRhz9gQPABlOBEQ1IBC8y0OXgMYZeyRdAUwWgqmNxgudl7G1j4xPVzsfM26dYBsaxGmJIZJ5ZkKoLwAkE0DCdN1K1udAMyZ0mGK1GUH65qmmXWAITqBzSYrCU0gEZ4bBhZMyPq8M05hG0Gk1wAyBTBkwwVgHkJlWhsBUcpi5CqSbH5vWG9C9nvUAJJu0N3Z4mCbXMvPhtDvA1/4gvH6Fa8AsqMnZWkKYN6nAtjpAB/8oPH6bW/jKQa22MkYuwaYRsdrfoIbB06y68oqfqcD2PBhTSAyFcBpvzVBNnw6kmcBAwFSwDZ8ZN8rwOgEPlNr49yGxzNkw6ctVQEMYQNj4SS7a7tazKHW6qHhZ9KF7fWRqwAWcwHUNgdOstegQGlpWz5yP2O+nyOHPcNUAMkCJs2gAHCLI9Bpt9UCfuInjNcbG0DVGLkl06bC+Ds+UzCrq8Db3268/tVfBRYXAchPvwSqAbThNBjo/P9FWgrY7wQFGz7mDE55i69vL0AbPrItKgCxCST49ZGt1gLA3tkyvnuqhqfO1QPzkXnACtUEYuEkO2Xv+1m24YLFRek1gEUebA38jX+0cNIXFqSnXHlWxE9a2uYayTaCLvu9Zw57hukBSCFGmkEp4C2OUj6EImBBW7JiwhXAkJ3JPcnpDjbrNmwKWAyuZYzPEv9O0FRedzj3GZC3YQIBg2QbToBkH8By+BSwTNNuhit3TgIAvh9iHBwvsZCRAmY1gFF8P6UHgNGsYMyxa3JrAIFwKdee4IUpLwXsMyvigA4/ZMlRJKN2kzOPV0oBpxsUAG5xBC54toF8BZAtdiHrXQZyF7sowQ0wGlzLSlNVwxTzYzSFJDPFGSVIVtIFHMEGRqZnI8MVu1gAuB6Cj7wUZ5Wn7iLM2pYcsPP5xCE58RSwZB9AwKfiZoFoZ5OX4AMIRF+nZdcAViLah60LTSCE9IICwC0OtsmF/SD3BzrfEOR1AUcseO6x+htJXcAsAAw5eaPJFYoMMpIaU8LOUBWvqUz7hShBspJJIGXTpmIQcDqJihpArgCeXg9s3i2zyYE9N1996jy+eWI11N+QHbBXIxqty54FnM9qYB/TMI0gLNgy/pbcQ3HYxhReFiOtcSfaPTPLUCgATDMoANziiDr2qKMgoPBtA+MA6V3AEVPAKlKKYWeosvtcyGWk2i+YjTIRUsAyZwFXC8hoxgFlOWDnrYr7tX/eqH1ab/cCG0LLnQVsbrg3/e3XRz6/fiE7AOSHmZAdpUwVk7X+GDPSA9TcWSAqgDlJa1AUPiIn2apt2NKhDRoDtylAAeAWRyB/KRuIQZq0AJDXAEadBCJLATR9AMOMXmOKkgwTaAa2adYDbppmOlHuR1uGAiizCSSXzXCj61NrrUC/yxt2JN6vQi7Dr9H5gFY5TYl89s6aHoQnVpr4zHdOB/4bsm1gqjwFHO0QKmMWOQNPuYZSAM0SFFmHrKjWNOpqAHuh1kRqAtkcoABwi6MUMQBkm2Uuo0lLuZaipoD7clPAs9U8NK4mBfe5Y6dkGWPgGKphJjpAfrqMgXcBN4NfH+ZBKVNxA4DdMywAbPr+nV5/wAMcmQEgAMwOr9FKPViQzGsSJVyfPTNl3HfLK/CzL9gNADh6ci3w3zBT9rIamowgIKyaJLsmETAPSGHWRVaCIvNAE9iaxgLZXcnsWRzo4dbpdZoDvClAd2eLoxSkBjCfB97zHvM15JtAA6INg49JIK99rfl6iJ7kWcDFXBa7p0o4udbC8ZW6u3+eDaeGgqYC3xMdLHza54zgQ3YAyGp5NrxGQ9lcHx6USmqQYdg9XcI3AJxcdVEALXxEQ3TZAelstYCnzjXcFUCb6yN7NN1zdk3hpfvncO+3TuFxP13JFk6qbGB8NYHYXB8VTUSBmi6s16chX9EOZE1jc41kZ0WsI/wc1xObPQMQU8DkA5hmUAC4xRFooSsUgD/+45Fv8fobiQGF7yaQiQngH/9x7NuyO94A4KIdVZxca+Hpcw286KK5QJxYJ+qUxMXOtw2DhU/79DIAuRYwgHmSr3f6GAx052YXCx9d182mi4JcTrunjXTn6ZpLAGjh01w36wVlzyidG44UPO9WA2jz/KhoSrmcNaUs+ehKFjgNBjq3OZHeBOLHCNrm+si2pRH/li/FzcKpu14DIHf9Ee99pz9wt7yxuUZMlZR1jbIZDYVcBp3eAI1Oj0+6GYPNngEINjCkAKYalALe4ojaBazCwy1qEwjjJMuFHwAu2mGcpJ8+52MYuwUsAPSccxoAYX24WlyxlatuVYWFPIidR7s3ACshkp1y3T1tpIBPrvpPAYsWMLJnlLKZ0iuBawDlN6VcvjgBwKgDDGIl1BEaHKQbQUdMb0pNAUcojVEx2lBUx8NYwXQlZ0WAaI0g1AW8OUB3Z4ujFMR0ud8Hvv514/ULXwhks2ZtiSS/KyCAD2CnA/zt3xqvf+VX+Ng1plDkM/I2hAuHAeDxFY8A0IbTmpIAkI2C89i8LXzMqRJyz3bFXAa5jIbeQMdGu+c8ZcTCp90znxvZaemdU0YAuFRz6QK28FERbDHMVX1MS7Hw6efyPMUpM0DeMVHEVMkYwfbM+SauGCqCXpzaN/wi/7bsjlJfXcA2n69Oz+xslwWz6cJHsGXhJNtyBWANJYCuD9dqt7XE7hpJTgEDRlPbKrruh1CbPQMQR8FRiJFm0N3Z4ghUA9hqAS95ifF6ONZH9tQNwEwne3YBr64CN95ovP6ZnxkfBScxKL1wzggAnznvEQDacKoNFzs2nUIGfBuxWvjwubKSgy1N0zBRymG10XUPSi18msUpAEYTkcxnCDAbU1yngVj5dIxDhGw1EjBqAAG428BY+LSmzXID2ZzmJ4qotXzY0gicOk/8JP+2vI5SVj7gcxSc5fOloos8kAJo4dTtZ6Xz0TQNpVwWzW7f+2Bsc41UWC358iK12TMAswmEFMB0g1LAWxzRHeaZ514KU8ASObGTaphUOfPGU6EAboS0gZGdAgZMb8J1r0YQASrq2xjCTAMx+chf+maHKeDVAClg8XmTXpPoJyC1oCcEErJS5KyjPWoXsMzrw50IIqSAZXkAck4RPFtVBMm8e7sbbA3SdZ2vW+QDmG5QALjFwRaVsDWAKlLA3PQ0og2MChuGMN6EKlLATN0Karwsc6qEFew0X/dTzG/hoyQAFKaB+IXKFDALAM8FCLi4hVBe3hQZBhYABuHDPfckfrbYVImoPoBKUsAR6u1k8gFEK5jgnJhKJ2sWORB+GlGj0+d1v5NF6gJOMygA3OKIagStJAUcwYPL4CS/4LkYwYiVpSCnJAaAO4ab9/lGJ9CoM5lzZa1gjSAb7eCKW1lyBzBgBtwb7R5/JrzQkmy5ImJ+YhhwBfCSVDGXmGHHkM9KAD6dvtxuUkDwtAw5CaSrgJN5CA2jtslfEw1O4TMjKp4jFkz++T99L5AZNFP/shlNidJOkAe6O1scUY2gZftLAQGaQBw5yTWCBsSUUHgFUGYAyDpKB3qwEXVmDaD8j/YEDwBDKIAKAlKxvshvWlplSppNJjlTa/neMJsKA0CmSAaZTKJCbeOelhHHUarpAk5Hx21UTg0V4yiHn/dnzjfx+JIPP8kh1oUGENmd9gS5oABwi4NtLN2+7lslEaFisfPtAxgnp3z4oJQpgDJTwIVchgc4QWq4zC5g+QEFDwDdmi7G+KhLueazGa5SuDaCCFAZcC1OGQbi7d7Ad1qa3y8lXcnBU8C9vvyOW7MLOOw4SnVG0EHTm4CaQzEQLTOi4rn+tZdcyF8HKbMgD8DNAwoAtzjEQMCX5YEFKoqLfU8CcQC3gUmJNyGr05NpBA2YaeBgAaA6BZCl8oLUcjU76gJSIPiM4qYCpYShlM9iahi0L7mZU4t84kgB111scixoK1DbWPNQpz/gwVMQqLCBqfIu++BpaRXeqIDpjhCmDIV97sUJHlHx8svmuZ9kkGYZ8gDcPKA7tMUhds61un33U1k+D7z73eZrqAm2yn5tYCoV4JWvNF8PoaILT1QlXUcxWTgNBjq3PJCpAAKGgvPUuYb7Bm7h01ZkBA0AE8OCbtd0q4VPq7sKQF0AOFXK49RaC7WmA6cxPsZsXJnF8iJ2TpVQa21gab3Np3G48WkOU2sqAsC5qqFIetYkCpxaeeN3VNiJAIbiNl12+ds2n3kVRtCVYoCGJgunbt8wHpdpRA8Ipv1eByyba9RQVNvK7p1jUGqzZzAPQAoA0w+6Q1scmWEhbqs78F5YCgXgtttGvqXSYZ4pAo7B5cQE8OCDY99WUpc4VMx03UiXF5y6ni2c6q2u2fEmecHjG7jXaDGBT1uRETQATDAF0K2Y38Kn2T0HACgrKgZn3ouOKeAxPupqAAEjDfyDpQ2ccVIALXxYQKqCD2tKObvuoQAKnFrfOQ1A/ti1fFZDt6+j0em5H5RsPvO8M1mBAuhrSoqFU7d/FoD8FLBv708LH5XjFktenck2e0aNUsCbBpQC3gYw57gGT3eoSAFbFYGgUNmZDARLwbCgOqOp8HEzNkrX2bIWtBQZQQOmp1cQb0KVNjCAqbr69QJUnZI2G0H8pV1VBqTM3PxcveO7RlKF2gaIk22Cfd57/QFYE7xUj7sgCqAFqlLAvFkm4JoojluUmQIGzINxEA/H5aHivGOiKJULQT4oRN8GqBZzWN7ocGneEYMB8N3vGq+f+1wgk1GSAi5kzbFizU7fWRHo9cyh5697HZAza4kMTvJUSXExb3cHQMnhjRZOrB6uWpDf8eZLAbTwMY2gVfgA+gi2xvioq3EDzLpLxxpAC5+mwq5kwGwEWVp3UACtfBTWJE6W8liYLOLsehtPLdfxgr0znpw6u68BIN/jrlrIYq3Z9Q4kLNenIwhPUhtT8gEUQAsnFT6kQAC7nLFnyLxI0lPAXnWJNnvG8oZx+GE1qIT0ggLAbQCmAK57LSzNJnD11cbr4Vifbk9+sKVpGsqFLNZbPXdVcmUFuOEG4/WZM3wUnAoFUNM0FHMZtHsD90YQC6dGz9jwVWzgu6eNKPTZ803ffMx0mQpbkaEi6WYrYuGjOuVqmkE7BIAWPiptcgDBv9EpaHe4PqpS5Pvnqzi73sYP3QJAkdM/HQEg/wDBPh+eWQjr8zwxw38kNQBkwZYfZcvhMybTHB8Qr5EHJ+saVDBqTQu5DLLSp5N4pIBt9gxWc7pACmDqQSngbQCeAg5hxKrK8oB1BoYZD9UbDJtAFPlwBbGCYRtIVUG9y0U7jBTeU+fqvn9HxVB4hhk+6iyIDYzalCsPAJ2aQCxoK+Yzw733/F0j1l2pImAHgEvmjdmsP1z29wypmnLBPh++FDcB7HnWNLlNX9WQ6VZA/ZoYlFNTobl5mPF0TAGcpwAw9aAAcBuANSd4poBt0FWQAgbMguegQamu68pSMNwKJoARq6ruO8BQbwDg6XMN39NAVG3gQDhjYZU2JwC47YpfGxg+Kk/B9QGCzwNmhw1ViuTFwjPkB+rq28L57okm0DJLLExLo/QciitBGlMEmBYw8j9jYSZJUQC4ebBlA8DDhw/j2muvxeTkJBYXF3HDDTfg2LFjI+9561vfiksvvRTlchkLCwt4wxvegO9973sJMVYHc4RXiMWup0Zt4ymYgF6APSEQymdk+3AF9wJk9TpsQ5GJC2bKyGU0tHsDnPLpK9dRkLJnYCngtWbXd0Da6qhNuXqmgK18FDbJAGbjzkrAAFCVArjTqybRgY/sAwRrTrjprm/g9z5yxPfvqZhMIvIJY05tHkAlr4khFUCVh9Awk6TMJhCqAUw7tmwA+NBDD+HQoUN45JFHcP/996Pb7eLgwYOo181UyIte9CJ8+MMfxne/+1185jOfga7rOHjwIPr9cAbFacVElABQlSKQD5cCZvV/gPygNMww9jov4pefAs5lM7yT86mgKTyFKeCBHjzgUlEjCQTvAlZpkwMIafK6Tz4KLE5ELEwYdaTL634DUvlzd4FRdeqfjp7GuQ1/XdIsBSz7+litqIJAWQq4GE4BbCqctsPMqT2taYbo9Qc8Q0AKYPqxZZtA7rvvvpF/33nnnVhcXMSRI0dw/fXXAwB+53d+h//84osvxr//9/8e11xzDZ566ilceumlsfJViYkUpoDLIVPAHWGxVpYCDmQDM1QAFQU4e2bKeHK5jtNr/hQcpk6oSAEXchlMFHPYaPewUu/wYMcNzY5axY11AfsevcaMslUpgMNrst7uodMbeN6HtoIpFyLmJ4degD4DLvMAIff6PHf3FO791in+7289u4afuHLR8/dUzAEGRu1SPM2pLVAVADIFL6g1DVuDVCiAZa8mEAtWGh3oulGzyUYREtKLLasAWrG2Zhiuzs3N2f68Xq/jwx/+MPbv3499+/bZvqfdbqNWq418bQZMpjAFzE67fk+WDL2RAFC2Ahh8HnBdoY2H+Hf9ehOq8G0UMcM7gf3W3KluAglaA6hWcZsq58FK1Vab3qqbegXQUGFW6h1fSldXUcr1bQcuxWffcT1e9Rwj6PvWiTVfv6cqBczMqYHgihs/ZElXAMNlRVQqgEGbQFjwOlHISe9IJsjHllUARQwGA9xyyy247rrrcDVrWR/igx/8IN75zneiXq/jyiuvxP33349Cwf7kcvjwYdx+++1xUJYK3zYw+TzwR39kvoa6lGI578OItVIBXvxi8zXMxTeb0aT77onj4PxyanRWAZgdfLLheQK38FHZBQwYTQ7PnG86NzlY+KhuAvFMAVv4tBXXAGYzGmbKeZxvdLHa6HJjaEc+LCBVxGe2UkA2o6E/0LFS72DnlI3BpcCpkTPWPtkBl6ZpuGxxEj9++Tz++XtLOHrSIQC0Ps/D2lcVCmmlkMNas+utuDl+xlTZwHis09bPWMe4RonUAFr2jM5w6kxe0YGGIBfbIgA8dOgQjh49iocffnjsZ7/2a7+Gn/qpn8KpU6fw3ve+F29605vwxS9+EaXS+EJ566234h3veAf/d61Wc1QL04SqXxuYQgH4i78Y+ZaqFDBXAN0Wu4kJ4KtfHfmWSmNhdtp1HXxu4cSaQFTNlvU8gVv4qOwCBnwogBY+5iQQtU0g7d4ArW5/PLAb4zNUJBU1XQBG0HW+0cWKnReghY85u1nN9clkNOyoFrC03sbZ9bZ9AChw2vjYN5XyuWCmDABYchpPZ70+faN7WcWBhplTeyqA1s8Y9wFMyBrLugZ1lgCoUQA9D6CWPaPTMzxLVdQgE+RjyweAN910E+699158/vOfx969e8d+Pj09jenpaVx++eV42ctehtnZWdxzzz34lV/5lbH3FotFFIubr7A1kg2MohSwb9NTC1QaC/tSAC1ocAsGtQqg37SQqpophqA2J6ongUwUctA0Y4ZzrdX1fC5UB6SAGST7uUaqu4ABYGGyaASAPuoAVT8/rDN0pe6zCURRChgw16CgXbe8BlCyC0HFrwJoAVsbVKxBQVPAnb7amlaCXGzZAFDXddx8882455578OCDD2L//v2+fkfXdbTb/hanzYKJorEhedYADgbA8ePG6wsvBDIZdZ5XeR+WB70e8MgjxuuXvQzI5XgAqEJxK/pZ7CyclCuABY8UjIUPv1+SpxQwsJq7dafDhIWP6kkgmYyGqVIea80uas0eFifd+ahOuQJm8fuKXSewhU9HcQ0gYHZjnnVS3QROvbaxVqjawHcMxxuubDgExw7Ps4qA1Lc5tYUTH48p+TNWKZhqW3+gO9fQWfjUOyrXRI9abcueocpGiKAGWzYAPHToEO666y588pOfxOTkJE6fPg3AUPzK5TKefPJJ3H333Th48CAWFhbwzDPP4M///M9RLpfx2te+NmH2csHSrY6bNkOzCbBAeTjWhy128guefaSAV1aAV7zCeD0cBddS6HnlqwnEwokvvgp8AAEzVem4AAt8BqdOKytQZ+DzgN1GrwnXR3UTCGAEpWvNrn0jiOX6sPqtksINasbNMNtyfeLYMBcmPQJAgVPu/71PKZ+5oQJY7/TtU/aW66OypME0o/cxek3gpKrRSpwm1Oz2ee22Fx+VTgSlnMcB1LJnqFaQCXKxZe/SHXfcgbW1NRw4cAC7d+/mX3fffTcAoFQq4Qtf+AJe+9rX4rLLLsMv//IvY3JyEl/60pewuOhtT7CZwLvLAnbcAmYKJi0pYKYYllScdkOkgJsKT9+A0AXsw4ahOxA6pFV1uQ4DQM/DxBAqOxQZmMLtVeMq3leVASlTAP2lgNXWAAJmALicghTwZDHHmyfOOc1LFtDtqalBBsTRa0G7gNUEgMVchneQNwI4Nqj0Ig2y/gBqU/YE+diyCqCuu08q2LNnDz796U/HxCZZhB27BqRvFrDZVSp/gQkz97LOPbhUdwF7c+oKJtnqFEDj/9OP8XJ/oPMNQVUNIABMFP093+I1VBlwsRpA2xSwBXGkpD1TwAJUb+CapmGuWsCZWhsrGx3eFOLIR1HHLQBUeHNc0BpANSq7pmmoFgyfzSB1iSyAVTGNKHgNIAWAmwl0l7YBWHFwu2fUlgSBqhSwb8sDC1TaipRDKAIs7cjsSGSDLcB+1NuOoHCpsoFhAaAfBVA01FbZdMGeby81mRWo5zIacgpTVEEaZVT7AAI+UsACVHeRA8DcsA7wnI9GkJ5CW6NKwCkXDKoOxUC4dbGhsAmkHPAaxVHTSpAHukvbAGJ6Mmi6Q1m9S0gFsKUwpRhmYP3a0A6FqT6yEWQWJ0sBZzOaMhPWILN3xXur0nZlwqfNUTuGekTADABtawCtnGJIAc8P6+58pYAVTpJh2MGbZHykgBXWtFZ8KsdWMJVLdlkMYNbxBVkX2TxjFWUoLKhsdvu+5n9TDeDmAt2lbYBiLgMWDwQNuLqKFrvQCqDC0WJBF19d17HajCcA9HMC7/XUpcsYpgIogGI6KKNwKgDb+Ly63FusAUShGgkAswGmpXDFRGFQuhhEAWR8FG7gzArmxErT871qgy0fTgQ2UKkA+lWzRTS66pwI2N/UdX/TiCgFvLlAd2kbgNWWAMGbLtgJXLoNTIiTLhBPCtjvNdpo93hKfaasZu5lkFmcHYWWGQxTXl3AApoKO7ZF+LXz4PV2CtVIwGwC8VIAdV03u4AV3rOFCcP8udbqec657gzUb+DXXToPAPjbrxwfKVuwg9JgK6QC2FOpSrIsRABOpgKoLgUM+AuUqQlkc2HLNoEQRlEuZLHe7rlvkrkc8La3ma9h1uBIt4Hxc/oulQA2um84mUVlAGgGpS7XSOC0OjDeX8xl1M8CdlIABT5dRWO8REwKXcC6ro+P4xP4tDLGe9UHgC52HgKfZsZ45oqKFUBmA7PW7I77uQl8Onnz0KCS01Q5h0I2g05/gGW7xguBU324Jah8ht7wo3vw5/d9D6drLXzrmVW8+GJhPrvlM99TdAAFAiiAFk4qvTYrxeDrIsuiqFAAMxkN5XwWzW7fCDQnLG+w7BlxHGgI8kAB4DZBtZgD1tvuC0uxCHzgAyPfYjVBqlLAjY5RW2KbIpyaAr797ZFvtRTarviqARQ4rT1rzDNVlf4FBB9AJ04Cn/YzBh+lCuDQCLo/0NHs9sdVB4FP46kVAOpTrq6jDgU+ze+fNfgoVgDZ86DrRhDIFEErn7agoqqsAdQ0DfMTBZxca+Hsens8ABQ4rf7Z/UC7ozQALOayuHxxAl/+4QqeXW3ixQ5cAKDbfxaA6kkgHmqbhZOqumjAbExx5WThw9arqpNvYERUi8MAsGvDybJnkAK4uUB3aZugnPcR3NhAmQ2MYFngp7aEQaUPYCVgTdAqawBRlP4FgHJhaMPgq/7GeI/KQezlfJYrWqseNW6qp4AwmOUN/mxgVAek+WyGd0u7pYHbQlpftWIyz7wAPeoA4yri3zMMQk+ttdz5sBpABTWkUctiVDam+F2DdF0XuoDVZiH82OVQDeDmAimA2wQs4HKtLdF1YHnZeD0/D2iashSwqMLU2zZKEmCMGTp2zHh95ZVAJhNLCtj19C1wWm0bc8emVSqAXrOABT6dnFFbpcoCBjDUpNlKHssbHbz97kdx91t/zJFPszcNIIYA0M3PTeDTahv5K9U1gIDRCbze6uF8vQMs2PPp7LxwyCcznkqXjAXmBWjXCSxwag9VHtUb+K5po6Tj1KqlEcTymY+jBtBTAYyTkx+DfPEZuvQyXoesKgB0dWyw7BmkAG4u0F3aJij7UbcaDWBx0fhqNACYp13ZKWBWWwK4BDfLy8BVVxlfw0WmFUsA6HKNBE6Nk2cAADOKPAABM3hq9wb2NgwCH33ZSHGqVm9+9aUXAQC+c7LmymcwvGeqawBdjaBHro/BR7UCCACzvBHEopIKfLqnjecnDs80Vy9AgdPE+ioA9Rv4HhYAWhVAy2e+p9CWhtcAeilb4jO9dJZ7oyrtTHY7qItr0LNn+LdVNIEAHo4Nlj2jE0MXOUEe6C5tEzCLk7Vm17PzjkHXdcGJX8Uw9uBWMCpHi4kpYK9JMgCw3lJrAQOMBk9eI+p4bZLizfvXXmooV41Oz/U6tTrxpFzZffOygenElJIGRCsYlxQwD27U82HTQPx4AQJAMauW0+7pYClgJZNAQlhRjYxbVGgD0/BpvNwcKrbFXEaZ92cQz1ZSADcX6C5tE7CA6f+59zG88i8e8NwsAYxMDVGhKpVDGC+r9AFkfPoDM/B1w8bQC49Zo6iA+P/p5QXY57VJatOJ7DoNdLheJ2Y5onIOMCDawLhfHxZAxxEAzjEzaBez4zinJgSZBgLEmAJec/cC5BmIjELLlQDrT0/xuMWgNjDNzmDk91QgiGdrHJNkCPJAd2mboCqkB06ttfC1YYemG8TZsirTHUG8AJtddbNlRyam+Ch4ZgGZysU3m9H4YupVqxSHhxsweu3d7h1vulCscFV9zwKOL+CaqTikgAUwRTIOPkHmAQPqn6GdU0YAeK7e4XXGdugqVLXFg8PptZYvP8BuX1QAVdjABAtKG3wNUlfOH8Qgvx2DFylBHugubRNYg5QfLtc9f6fTV5vuCDMNROUouHw2wxcuPykYFoyq6EgW4XcBVmlPISKfzfDNz22janWNA4T66+OvC7jTj08B5ClgFwWQbZYqp4AwcAXQRwpY5ShBhlmLVY4TeuxQo+IAWjQtjV52+J9x7X/4LI6fa7j+DjtkaRqUXKOgqiTzLBVdFWSDG+T76QLmKWD1zzQhOigA3CawnhCPnV73/J2e4tNuKAVQ8XSJMg+2vIPStsKGFBF+x0OpmtpiBz9D4tv9eBRAloJvdQeuM5PZ/VJtBA2ITSDeNjBxNKXMVY1r5GXdA8Sj3uSyGUwPm6fcZgJ3FKaAJ4o5PtoQMIKurz3tnhnpC58xFZ3bFZ+HGQYWKJYVKoA8KLXzAbSAagA3F+gubRPsmxs1f/2ejwDQrL/RlCx2YRRAlgZVVVdWDeB5xbz51AeA/uwqejHW35R9qJJxNYFMlXP8Hpx2aSpg9ysuGxjAPeBiimQcKeApPsGla99NLiCuzZsZZLsFgCpTwABw0Y7qyL+fPe9Rk8j4pKDhAjAPYFWFKnuQFDAFgJsL5AO4TfCGH7kAOyaKOPrsGv7iM8fwxNmN8VFeuRzwm7/JX3eHQZAqRanKC55dxpxdeqn5GmYdl2oF0DEFI3Ba17MAesqbHPh4KKdRZ0M+zeHotTgUHEOpaI8rgAKf+nD0muoAWdM07J4u4cnlOk6ttXDxvLCpC3w2NOP6xKG4sc7w1aYluBH4NLTskI/6gHRqqLYNdOPANSk2Lg05tXsDtLMFVGIMAH+4XB9VSS2fed5UoKix6cIdFXx7ONEHAJ6xCwAFTp3huEVVAamvQ7H4GRtu4WqbQFxSwJY9I4555AR5oABwmyCb0fDKKxbw0v1z+IvPHMN6q4fVRpenqgAYY33uvJP/s1vbAKAm/QuYNTjrTsXXU1PA44/zf/b6A77AqAoqJooeliICp/Mf/CKAdgyTLlw2BYFP/XM/ABDP4ltymiwj8Knd/SiA87EEOLuGAeDpmmUDF/is/+03AKwqT0kDLubU4v165GkA8SiAxVyGzwOutSwB4JDTY8fPo/7BL2Emps2bqaQrdUEltXzmuwO1ZQ2TlvFpz1qNqS2c2ifXlPJhtXyuapvAZ+3hHwJQ3ATCODmNghP2DFMBVFtDSpADCtO3GUr5LHZOGQXhT51zbwRRXVPGVIn1lnddEgC0BB88VapbEE4qO5JF+B1Rp9IjcZyT90bVjCkFDIi2Ii4p4Bh9AKs+0vZx8tE0jc9xrjk0XcRpSwOYdYkrdefGFJZyzSlag6ypStsAUEBP4Rg4QGho8lGCApi1ykoVwHyAUXB8lCA1gWwGUAC4DcHqXo6vWDredB2o140vXVc68ggAn5e63nLYJAcDYGnJ+BoMRoINVZsUq5Vy2iRFTq228R71PncuNicCn2ZLbX2kCLMJxMJJvD4d4/rE0eW6exgAjtUA2tyvOAIclrYfa9wR+LQ7polvHHB8toecBktngMEgxhpA4yA6ogBaPvNdhUbQAPDbr7gEk8UcfuqqnQCMAHCsRlLg1B0+76r48INVtz/iw+rEpz48qKpVAD1GwQl7Bs0C3lygu7QNcdFcBQDwtNXyoNEAJiaMr0bDXHwVyfmTJQ+1bXkZ2LnT+FpeHhkDp2p2KldJnIJSgVNpzegYVJ1SrLgVhgt8tHPGKLhKDAGX2QRi8XAT+OTPnzPeG0sK2GhyOrlqM1psyKe4OrxfMSqAnd5gxDtu9H6x0XTxqCWTQ3V77NkecvqxH3se5pq1GANAm2kpls88G7umSnHbN1fBN/7vn8IHf+2FKOYy6PQGeNJqkSVwGpw1PmPqUsBmIOfYYS9eoyEftTYwHqPghD2DmkA2F+gubUOwIvknz264vo+ngBVYMADgFgyOCqAFcaQ4PRXAET7DFHBB9agzHwPiITTIxKgAuqc44/Pdu3T4TH/zmVXHLtd2N76UtKjIOKXuuzGnXNnnzevZjquAn9UAuo2ni8PbMpfNIJ/N4Jp9MwDgapLPFC5VKeliLgN2tvUzDaQRw2c+SGdym6eAKbTYDKC7tA3xvD1TAICvH191fV/iKWALGoo9AAGzBrDmowbQtDmJpwnEywaG2ZzEEXD5qQE0R6+pX2ZefPEcqoUszq63cfTkmu17Wr2hMXUM16eQE82y7e9bnDWAgP9nOy71hs0DdrPu6fKAS31TwbUXzwIAvvb0ecf3tJm5uaJnWtM0wdjchxVVh9nAqPcB9GPX1RmuQaQAbg7QXdqGeOFFs9A0owZwad158e3EmAJ2rHcRwE2glSqATCXxsdgp7khmqDh1lFrAro/KgnCGslCr5IR2TD6JgLHh/Pjl8wCALz5+zp5PP77Ra4Coktpfo3bsCiBTt92f7bg27z0zRt3mydUmdN3+89+N0VbkxRfNAfBSANU/0359PwHTnFnlmhhkOkmc3paE6KC7tA0xVcrjyp2TAICvu5x2e4q7gJkC+NS5Bl5w22fwX/75B67vb8UweYN3Abf9dSYDMTSB+NwQ4ppMIv433EfBxatw7Zs1alvHvPeG6MSYkgaEWbMOgbupkMalALL61nSkgPfMGApgvdN3DEpVr0EiXnihcTB+6lzDcWZyHM+0OKPYC81YFECTj1OgzkA1gJsLdJe2Ka6+YBoA8P0zznWAPAWsqAZQ9CKrd/p43/3fd31/M44A0KdKIiKuJhBPGxgWUMRoA+M+ek1tusyJk1NauhVjSlrk45Q6i9t2hT3bbrN3gfg271I+y6eBnFyzt18xsxDqOU1XzIPxEYeRcHGM7+PPja8awKHqr7AJhP3t/kAfmQ9vRa8/AEvkUA3g5gDdpW2K/cOi+R9aO94EqO4CFudwMrgFFNxXTmUK2KdKwlDMZZBRNBaKgXX4eSmAPAUcg6LkaAQtIG4FsOwRKPNZwDENqjeVHIcaQDaaLqbrw2bvpiUABEbTwHYwD6HxGAu/8CKjDvCbz9jXkbKyBpWHvqrPAx8Qz2de/NuOU5uAkeCQFMDNAZoEsk1hGwBms8Av/iJ/rdoI2i5t8fjSBlcnUSgAF1zAXze7xiZRVnj6nvTqAh5y6g10dLO5eDpu3cxhhWtU72eG749DARx2BloD9iEfHUB9eL6MKwC0VQAFPhu6wacYtwLYHucDAE1kAPRjUwBZ1+2adT7xkNN6u4duNhdr/dae6TKOPlszA0Dh+vRzea4oxZECBoC9s0ZaeiQFLH7GYNxTlUF72UsBFPis94zrUi2q28pz2QwKQ4ucRrePWfGHwp7R0c0gnQLAzQG6S9sU+wUrGF7XUSoBf//3xpcwhzOnKAVsp5w9dqpm/mNmBnjmGeNrZiaeGsCS6ZVmW+8y5PTdrzyG9dJELPV2rqPghGt0Nm9sXrHUAA6tb8bSrUM+rSefxnppAkCcCqCNUjrk03kqfj6mkjPOB888g5V8NVY+sxUb3z2B03/7yENYL03Emr5jE1yWWMAlXJ/u5BR/XxwpYACY4+PphGskcKoVjWdI5WfMHL3moLYJfJZyxvVTPo+cz223rEHCnsHmJGsakItJsSVEAwWA2xQXD6eB1Fo9nLcqAkPwDrwY5jpesdNYWL8rBoAWxNIFPEwB9we6awomjnpEhokSUwDdU8CNGK4PQznvkd4UNq9SCrpumSehwScmRdKjezvuLuBpHgA6jIJLYIrDjuE0kOWN8cYd0UA7roCC1SSeq9s3ErVi8JKs+BwH1+sP+Bx1lt5XBT9padEDUJVRP0EuKADcpigXspifMBZf5/ob9R1499784/gvv/Kj+O1XXAIAeOykcwDYiKGmrJzP8s3GrQ6QbQRx1G9NFL39EgcDnS/AcQSl5sgq+6JwFiDns5oy01xnTuObFKv/0zR1Y7ys8OrejrsLmKWAVxsdW3U7iQ7OHRPDgMvGDJqtP0B8KWDGx2k+cTsGr03xuVneaDvWRa/UO9B1IKOZ91YVXKeBDEFj4DYf6E5tYyxOGgHgWbb41uvGDqlpQL2uPAUMGN3IP3fNHlw1NKf+7qmauTktLZl8lpZMBVDh4qtpmmmYa9cJPOR0/ZWLmKuvxqLeTBYNPu3egG/SVj6ZbAZz9VUAaueCMpij4CzXaMhnz2wFc/XV2NS2UU7Chjnkszhd5nziUifMTXOcDzQNpfPGKLi4awB7A92W021vuBpz9VUUsvHds/kJi+ImXJ/u6dMAgGxGQzYmBZBdo/PifGKBU3aZje9TqAAOD3xfP34eL//zz+H3PnJk9A2WZ3quWlR+fapOHfbCntGtrQMgD8DNBLpT2xgLLAB08Lzq9uJLAV+2OIFcRkOt1RufxTkEOwmrNjrmZtA+OoHjOO2Kcz79WEPEsQCzINzNCBqIx5KGwY9dTlwWMIAZTPzzd8/YWtPErQCW8hn+vJ53SHECcSuAxhpkpwD2+SSi+NKJLCW90e5xtU9EOw4fwOFn5ouPn0OnN8ADx866vp8F0Sphe5ixIE7TboIc0J3axvAMAAfxmbAWc1m8ZL/hxP+nnzhq+55mTLYipgLoHQDGEWzlshkecG14BIClvHpbGkBsuPAIAGMMuNxSwAxxBVsA8KYX78OOagHfP7OBh74/vokzT7m4FBNN03gjyKpDHSAQbwDIylDsawDVziK3w1Q5x0tAVmyC5GYMKeDFydLY95zmWwPmNVQJcx6w8/rTJRPoTYcte6cOHz6Ma6+9FpOTk1hcXMQNN9yAY8eO8Z+vrKzg5ptvxpVXXolyuYwLL7wQv//7v4+1NXv/p60IzwAwhhSwiD+74WoAwJeeOGdb9xJHEwggdgL7UABjOu2yRhCvADCO9K/x3/E2ggbia7gAxCYQ52sUZ3pq13QJLxr6yp21Ubg6MSuAgFAH6DAtBUimBnCj3Rt7lngAGCMfTdMwyxpBbILSOBRANiFFhNtaFKsC6OYDSAHgpsOWvVMPPfQQDh06hEceeQT3338/ut0uDh48iHrdSC+ePHkSJ0+exHvf+14cPXoUd955J+677z781m/9VsLM48PChKUG0AJ2olNlBG3FJfNV3vDwzPnxxpS4Om+5GbSPaSBxLXbsungFgHE0gIj/nW5fH+nWHHtfjCngMg9KB46KSZzBFgDMDBW3Nav1CpKZmzrj0QkMAMUYU3iTxRw/RFk7b7uD+FPAgIMVzBB8EojCe8bMsUW43a9YFUC3yT/UBLLpsGWNoO+7776Rf995551YXFzEkSNHcP311+Pqq6/Gxz/+cf7zSy+9FP/hP/wH/Pqv/zp6vR5yuS17aTi8FMDecBONS+XSNA375ir47qkaTqw0cNnc6M/j8AEETAXwh8t1fPPEKq7ZN+P43ri6E3kA6NIJDMSXchUDu0anj+my/X83TgVQrA1tdvu25rhxTd1g4E0FLht4nEHpTNnsBHZCnBu4pmnYMVHAqbUWzm20cYEgZsU5B1jE4lQRx86s43StNfYzY5xgJnYF8Hyjg/2o2r5/flJ9AMjGwbnVIHd78e4XhOjYNneKpXbn5uZc3zM1NbUtgj/AOwDsxJwCBoAL54zF7/hKY+xnvAZQdQp4WAN455eewhs+8EU8eGzJ8b1xK4DrKUkBF7IZsFJDtzRwXFM3gNFg06k2MS5PQoYZbr3iorjFyGm2mq4aQEC0ghkNSnu8CSRePmwaiJ09FlsTVQaAdn/brWlnTrEFDODPB5BsYDYftkWkMxgMcMstt+C6667D1Vdfbfue5eVl/Nmf/Rl+53d+x/HvtNtttNtmsFSrOXvWbQaMBYDZLPDa1/LXcaeAAWDfbAUAcGKlARRmgIUF4weFgml0rFwBHP1Y/LeHnsSBKxc5DywsoNHpo5vNxRcAlhwUwCGfdm9gjKaLSU3SNA2VQg4b7d7opjDk0+r2Y+UDGJNlyvksmt2+GZQyPsPrE7cCOMObLjojfPo60M0aDQdx+SQafJgiKQQUQ06rza7xTMcccJlm0G1g1yT/zLczxr2KOwW8Z9oIAJ89L4ynG3Li4xZjfo7+2+efxE9cuWg0eA35rA3vVxyd9o4KoLBntIeVIIUYVX9CNGyLUP3QoUM4evQo/u7v/s7257VaDa973etw1VVX4bbbbnP8O4cPH8b09DT/2rdvnyLG8YD5ABqbeM8Y6/OP/2h8lUqxp4AB4MIdRgB4fKVhjDxaWjK+ZmbQiisAtLjqP352w/zHkNMH7v5irGOzJnkNoEW5GfK59/5HsV6aiNV2xdZ3b8jnI5/6qsEn5o2yYu1OHvL5+D8dMfjErE6MjV8b8nnmez/Eemkids+0mbKNAjjk9H/92SeNZzohBXB5ozPymW9PGDPB41YAWQr25NowABQ4LQ/HLaoutbjl1ZejUsjiyp2TAICv/HAFH/v6MyN83vyf7o3tmXZUAIU9ozUcBUcp4M2DLX+nbrrpJtx777144IEHsHfv3rGfr6+v4zWveQ0mJydxzz33IJ93Hqlz6623Ym1tjX+dOHFCJXXlmCjm+EK2vO5cpB7nXMedU5bZoAJ4E0hMXcAMZ9fbY114nZjHeDkqgEOwa1OJMeAyvQDHOZked/EuMSWHTmA2Ci7ugHSa1dxZLIXi9gBkmLVTAIdIKoW34OAFyDMQSQWAq+M1gHFZUd3y6ivwrXcfxCULZt3fkafOj7yHjxKMcfKP6ySQGH1jCXKwZQNAXddx00034Z577sHnPvc57N+/f+w9tVoNBw8eRKFQwKc+9SmUSuPdVyKKxSKmpqZGvjYzNE0z08Ab44udmQKO0xeMqQEuAaDiBW/Bpqj6WUtXctyWB141gHFZ5Ijgvnud8S7guBp2nDmNKhV8dF/cCqBDzV1SfGZcfACTsvHYYZ0GMkQ3ASNowKwBfHa1OdJNrus6P0jEUduay2YgDq3pWTrb43yGuMm6HxsYUgA3DbbsnTp06BA+8pGP4K677sLk5CROnz6N06dPo9k0NnIW/NXrdfz1X/81arUaf0+/7+5ttpXArWDW28ZYn2rV+KrXTZUixpqOea4GdEZGMA1On+GLr+og54UXzo59j9vSsLFZNzwfc/XV2NSJqlMX8JDPW155qTHqLMaAy1ZtG/J5x08/J3Y+gE0KeMjnbT95eSJ8xPm7g4HO+Tx/32wifGYqNl3AQ05feNerhqPgEqwBFMc/njWar+JWAFkWotMbGMot45Qxxy3Gdd/+5DXP4a9PnB82xg35fPaPfiK2Z4jXAFoVQGHPGGwYpTLUBLJ5sGXv1B133IG1tTUcOHAAu3fv5l933303AODrX/86vvzlL+Pb3/42LrvsspH3bPbUbhCMNYI0GsYXzMHncXZysgCw2e2PFBy3hRm4qlUluwDzmfOjXcnsYB7XYlf1mLzB+KgekyfCbfIG4xN30wWfUGLhxPjEnZKeHtbcDfRR9Tbu54dh1sUHkN+z1HQBJ2MDU8hl+H0T09KiDlmNqdv+oh1VfPz3Xg5gPAsR5/0yJ4HYrD/DPaNNRtCbDlv2Tum6bvt14403AgAOHDjg+J6LL744Ue5xggWAdjV3vMYkRgWwWjQ7R1fqJicxyIjjxHvnm6/FzqkinrfHSPNbF1+GuNQSNiDerQYHiDflymsAXawh4k8BG9ep5WQDEzOfUj7LU5h2E0qSUgBrrS76DmbZcW/g5jg4Sw1gQilgwNKYYkEpn0E2xrrofUNrrFNrTVvT9XhSwKYC+MCxJbzxji/h+LnRQ7E5C5i6gDcLtmwASPCHhQkj3WHnBdiKeVYpA1t8RSd+pkYWcvEsvgeuXMSX/82r8UsvMhqH/sfDP8RjJ8dtf+JTAL1rcICYawB5UOo2ezfeZ8ecUWwfKMf9LANiqnz8OiVVA6jrwLeftR97GXcAOFc1P++6bgalSfkAAsD8MC19rj6+Lsal/jEsTBRRymcw0O0nJMWhsrMSlEa7jzd/+Ks48vR5/IdPPzbyHhoFt/lAd2qbw80MmqeAE1MEzDRVMyYLGCuu2DXJX9/1lafHfh7XYudYg2NBnNdnssRG5qVjygUgzAN2MKeOmw/g3JgCxM8nn81wPr/3kSO274m7BpDZLvUGZpMFIMwCTiAAdEpLA+ZnMS5omoZL5icAAI8vbYz9PB4bGOP/WSxjWLN87jt985BO2BygO7XNsTjpPA+43Y3PZkAECwBXGmIKeNgAEjOXH7tkB15x+TwA+zRwXJulHyd+IF4FkNVJuQ2qT0sXMEPczzIg2uUkrwACwDt+6goAztNA4t7Aq4UsnypTE3wue4MEFUCHtDQQvwIIAJfvdA4AY7GBsRmraJ1L3hmOgkvimSaEA92pbQ53BTCZFPDi1DindkwegFZomoa3Xn8pAPv0S2wKIKvB8RgFF2fAxQJAqxIgIrkUcDpGwQFA2SV4T0KR/IUXGmUNzW7foaYs/s/Y5NB7sy50uZsKYLpqAONstGK4bMEIAH+wtD72szjWZ7t15Ydn6yMp+3ZCJUOE8NgWo+AIzmAB4PJGGwNoyLzylcYPMpnEUsAXDI1Yn93oANPGNICmbmwCcStKAHDB0BfsmfNN6NkstOlpbLR76GmZ+BTAohlE6LqO75/ZwCULVeRzOWB6GvVOHz0tE2uAzAyzR1LAQz7s+sStuFXylmDLcn2SUABNVbIH5IrA9DTavYHBJ4HNclIYdbjR6mE2l8Ngahob7S56WiaRgGuylMNas4taX+ef+fZQn0gmBSyYUw+foU7fuGdVGzVMNUYUQOF+6dlsLNcnK4xZZKh3+liqd7FzuGfUhuUpViN9QnpBofo2Bzvpdvs61pADHnzQ+CqXY3WaF8GMWB/vFoHVVWB1FesVoxs3bgUQAPbMGI0yzW4fK8UJYHUVv/Tn/4RaZSp2G5h6p4d/+4mj+Om//Dw+8MDjwNwcsLqKXzz8adQqU4kogLWmoEoO+bzh398bOx/AEmwJfH79vfehVplKRgEUU8BDPh+852sGnwQC0nw2w5XZjXYPmJvDqadP4QW3fBStqRloWvwBIAsaVouT/DO/UZ3ifOPGfFUwpx7es4/e/23UKlOJKICXDBXAp881gLk5PPPkSbzglo+iPTUTG4eqTe3jA0+v8z1jZWAExpMl0pU2CygA3OYo5rK8M1CsA9R1PfZxZwxcAVw1U66sqzMJBbCYy2LnMC3NOHV68RY8sxocXQfu+vJxAMBnv3uG/7yVQIp8qmxwsksBJzV6rezgTZgUH5GTmAJOqryCgaVcWf0m/6wnNMWBBQ3rQgqYdwEnMFpsfnK8BpCtQUnUALI1ca3ZRa3VTSQ7s2+uwl+//NIdAIC//cpx/j127yZJAdw0oACQwKeBLNWEmjvBeDnuTZOlXE+vtbhXGbOEmR2ezOPG3llj8WN1gHHPTbWb8dsWOiaT6JJ2qwGs880yoS5gS70dUwSTUG/sGlNaMc2UdYI14ErawoMFDet2NYCZBFLA1fEu4PrQginuLmDAKAFhdjnPnm8mMkv66j3T/PXvXH8JAMNKiAWj7DDBDoaE9IMCQAKvAzy3tAIsLAALC2ivmcXGsTeBTJaQz2qYWj+PTC4LZDKoP3MSgDkrOG6wtPTyk8eBTAYP/cmrYx2blcloY8HLM+eb0M+cATIZfOnf/hTm6qvJdwEvLUHPZPD1d78Gc/VV/p64MBZsLS0BmQw+905jzFklAfVmxDB7yOfdw1GCSSuA660esLSEK/ZM48n/9HNYbNl7A6oGCxo6p04BmQyQySB37iyAZGsAN9o9tJ41ON0yHG+YhAIImGvQ6ceP43n7ZmO/X6wOEQB+ZN8MKoUsiu0Wcrt2AgsL6NWMDmVSADcPKAAk8MXufL0DLC8Dy8v8VJfRgFyMrveAUXC8a9qou9N0HdB1nBt6AjJ7hrjBFt+Tqy1A15GBoU7EqZhYg5dmt28oowKfODcnVrfV6Ix2k2oCn6mYA0DbLmDx+iSg3oyNp9N147lGcgrgFFcAjc8Vu2f5hAJS9ixttHtGnYOum6PgEkgBT5VyvBnmfKMzcs+SOEQAQgC42uT3K86pG1fsND1Rp8t5XLSjCgDInjsHLC9zWxiqAdw8oACQwOeDiqm8TtccA5dEUfhcdTTQY56ACwkFgBfMGCngk2utke/HaZprF7xY+cxW4wu4xODOLg1cyMTf5co2ZzvPPfHnccJtZF6cc7ZF2NXcAcY9SwKcj9BQ1BuWf8RtTA0Y1jQ7+DSQUSuYJA4RgFmG8uyq+Zkvxhgcv3T/HN7+6ivw/l++Bpqm4SKhJlAEBYCbBxQAEjA7nA96vjE+ei2pDWquMhrIsBrAHQmngE+tWgLABBVAAHj73Y/y1xOFXKwebtmMhsmicyPIRDn+w0PFYxRcEpu36ySQmD33GCaLLAU8et+SUgBZ0CCaCzNVOe4MBMP8JBtRN+qRmpQCuGvKyIqIjSlxPj+apuEPXn05fv5HDR/Ji3aMB4DFXCZ2H0lCeFAASOAKoDgZoJVwl+KYAjgsxk46BXxqddQMOs4AUGyo+M0fuwjA6LzkmYn4a2/4xt0aD7iSqAVyM4LWtGQCrrKLKpk6BTABD0BA8JQUAtIu7wJO5hoxBXClPhokJ6UAMnVfPGwVEnp+AOBCmwCQ6v82FygAJPDOWjEANC1gklns5iypzPPDQIfZM8SNPUMbBuuM2TgL1EUbhj949RW4UqjJAYDZmOvtANOg2joWCgBXB+MES7e2bIKtci6LTAJqklNnMpBkFzALuEbvWxINFwBw8bxRT3b02Rr/HksBJ8WJZRvOW1PACSmAM8NMzaoYACY4dWPnZGnse1OU/t1UoLtFcE8BJ7TAWO1eusPNYEdCNjClfBaLk0X06ub3NC1em5N/f8PVeMXl87hgpoy5agF7Z8s4K/x8thp/cDxhk7rjP0swIO32dbS6fYhbVDkh5YangLvj1yipYGLS0gTCkFRA8aKLZjFdzmNtWZgFzKyWEgoA58XmOAFJWVGxdXpNWKeTTLcu2BzGqf5vc4HuFsEMAFs94MUvBgC0h02dydUAFtDTMmgXSshnM+hpGUyWcokpJoCRBn78TAbdYhnd/gCT1RJysTaB5PgcV8BQJb+qZdDIGQvx9MT4iVw1JoYBF59RnMuhWyqj2xtgohJ/QDpZzEHTjEbSWquLUi6HfrmMdneAYimZjbss1gDmckClgmbXGCuWhKccYKYxGadeqYxOb4BcIZkUXj6bwfVXLOChc+fQLZWRz2hoDjIABsgllJZmllPL7T5QqaDRNcYJziUWABr35lxrwD9juQRUdob5ySIGmoZv7b4ce2fLGAgznQmbA5QCJvBJIKe7Gehf+Qrw1a+imTU276ROmLPVAmqVKfxf7/8svnL0OGqVqcTq/xj2zlZQq0zhLR98EFf94cdRXFxIlM+emTJqlSlc9Ycfx1V/+HFUdi/GzmHCmgKem8NffepRXPWHH0duYT52PhmhMaXWNMacPfzo07jqDz+Owcxc7HwASwp4bg6o1/GK//tTiY0VA8y6xHrHuEZ3fe4xXPWHH0dvZjYRPgCwf76KWmUK777ry0C9jrWy4TuXWAp4qKifQBmt1RquesfHUatMJRcADv+7Z/JVvPfjR3DVH34cmbn4P2MM8xMFtPNFvP433o8Pv/+jaOeLiamjhHCgAJDAF7ROb8AL1ZNOATNO5+sd3vWWlAk0A5tQ8uiJVQBml2BSYDOKGZJIj4s1gPrQJ40V8sdtAs0wZTGobgyD06SK99k1qgudyaweMKkUcNXSmcwngSQUbAHg4xaXakanfZI2MIBZA7i80eHlMbmMllid22Qxxzuinxk2o1UTVACLuSz/jH/3lDE4IKkSHUI4UABIQKWQ5Yss6ypNelYpS0ufq3f4OKbkFUBzHidgKgRJgfmCMeycSi4FvNHq4Xc/cgQ/dvifcWLF2JySqgeyjqirD4OcpOw7zDS5wWMw0HkAGOfkFhEVrgCyA1+yo+AA0+bk9DAAZEFpcingoQ/gRntkFGUSvqiAYcPCsjXPDkdSxj1q0QpWB/i907WRfxM2BygAJEDTNExX8ih1W1h8wXOBiy9Gb8PodkgqBbwwWcRMYw3f+H9ei3/1issw01hLPAC8cK6CmcYaHn/P6/H4e16PvYNGonyet2dqhM+1EwPvX5IMFtw8cXYDn/nOGTRPncF/ffNL8fh7Xo/9aHn8thpwS5FmF1hexi+85GI8/p7XY6G97vGbajDSKLO8DK2Qx+PveT1mGmuJKYAj3oTLy/i9Vz8Hj7/n9ZhuJDMKDjAOMDONNXziDw4AuRzKaysAku8CHpw9i6su3IHH3/N6XJTwZ36mUsBMYw0fu/l64xlq1rx/SSH2FAZ4+I5/jb/7j7+CUrdFCuAmAzWBEAAY7fsbOlB45jgAoD1Mm5USagKZLucxlc8ipw8AHcjoeuIB4JU7J5HRdYMTgPlKsqfvUj47wmdXAilpFtx85jtnAGCEz+Xz9pMCVIPNla01u8Agj8ygjwyAakLP8sQwyOv0Buh0eij0+8gByEJP7PPF0uH1Tg8YDPg1KiakbgHArumS+fz0gW6vDyCfmCrJFP5BfwBteM/myslumbOVPFaEz9hEPrn7BQA7J4rYW1sCAGh68lkaQjCQAkgAMD6zdYPXTSW34O2cttS4JVwDuDBZHKlrs5pVJ4HbX/+8UL9XLVShv1uH/m4d1UI19H/f7fm40GFUlGpMl+097ioJB1uA0C0Nw5cwqXQiawJptC2+lgmmgOcqBeQFn8YmT90nc9Aq5DJj9X6sNCUpWAOspMoaGH788tEmlKTXaEIwUABIADBesM88yyYSDAB3W5ockj5dapo2Ute2Zzr+mjsrfvYFuxP977uZPSel3IykgAWUEtosc9kMV/rEEXVJ+RICZu1Ypz/gEzeA5NKtgNHBLRq9t4bzyCv5BK1OLGvOTCVZmxProSqp4Jjh4FW7Rv6d9BpNCAZKARMAmJsmw0Y72cJ5ANg1NbqYJN0FDACvvMK0fnnxRcnYiohISkFikKUQM0VSBqbK4yOzAGAhQH2STD6AcZBqdTvYEKaBJLl5i5/rRqeP6eHrYi49z1Or1wcKyTXKAEZd4qrwb78HLtnPD8NeawCYoC8qMH5vSAHcXKAAkADArJtiYOmXpKwzAGD3dHnk39Y0dRL4zZdfzF8HGSumakNIGtbnw3qQSALT5fG5sgBwwVzZ7u2xYKKYw/JGB00hBVxKUNkq5DLIZTT0BsbEFBYAJmkDAwAlQTUeugolGgBetjiBY8K/n793JikqAMYVwHKCGRo7JJ2SJgQDpYAJAMY3buZZlmQN4KJFAUwyHc1AKY5RTBbN5yab0fDPf/jKBNkYYIeZtWaXexMCwL7ZZGoSAfNztC6kgJNqSmFgCqSYlk4yBQzYB3vlBFWuy3dOJPbftsO+2dFDTNI2MCI+8paXJE2BEBDJ76iEVGC6nIeuAU/vuhgXzlVQ7xj1N0kGgFPlItpZI8AYWOrvEkMmAxSL5uukkTAfMeWT1TRkc9nErw9XAJs9nGv2MDl8hvbMhW92iQpuBt3V0c8X0BvoKBaTVUurxRxqrR4aPR3dXB4DHcgnrOCUinm0s3lkMxoGmoZCLoNsAKVdNi5bnMBA09DO5pHLaMgm/Jm/YLYMPaPxdbGc8DMETQOuugoA8KKLdyTLhRAYKdhRCWnAVDmPVr6EV/7mX+Gt11+C80+eA5DsCbNywU5c+Uf38H8n5Zk2gvl5oJWMv50tEuazZ8ZUJDr9QeJ8AKEJpNXF01oFb/yje7B7uoR/2b0zMU6sWWatMoW7Pv99/OknjuI1O5Ib4wWYatvGxAx+6789jM9//yzelzCnwY55XPlH9+BXX3ohVr98HDMJK1yXL05itTKNK//oHnzhnT+BfQl1tjMUc1nkFhf5uvidC3Z5/IZiVCrAd76TLAdCaKRAwiCkAWIK+L99/kluV5GkAih2Jk8Uc4Fq7gjx4T+98fkAgDdfd3GyRIYQm0D+9iuGr+UVOyeTpGSmgFs9NIcp10qC9bWAeaBqdProDEc/JjkJBDCbGlaG03+SbnJYmCzit358P37zxy7ik4CShlgHmGR6nLD5kQJJhZAGWJtA2NiqJFU3MShNshmF4I5fvvZCXLNvBhclmGIVwQ4Oq40uPnbkGQDAH7z68iQpccPseruPwbAuMWkLD7MGsG/OAk44AGSq5Lm6Mf+7lIIatz/92auSpjCCi+YqOPL0eQDBGtEIBCtIASQAMFILpW4L/+d/vA0P3HkI/foGgGQDr6n6Go699+dx7L0/j5l6ciOqRrC8DJRKxtfyctJsUsPnObumjM07BXzEg8NMYw3ff+/P44VX7E70+rAGpt7SEm5+3dU49t6fx46Ex3ixALC7tIS/+4OfwLH3/jwqtfOJcpptGp/5/3XTAcw01hIPkgGk4pkWcXm2xdfFxPk0GsDznmd8NZIdk0cIDlIACQCAF100ix/dO40rzhkps0arB+RziaaAS1kN6BtWHvog/jm3thgMgHbbfJ00iM8YSvkM8lkN3b6OjK6j0O8C/eT4AGYNYL3ZQa7bRQ5AJaE52wzss91odFDoGZ+zYsKCUiWbQXH4mc/oejpSnCl4pkX88ov28mvkl48yGypdBx57zHxN2FQgBZAAwLDweO8vXcP/PRh+lpMMAEUMaG0h+ISmaWOTbZIGmyAhjqerFJJdfieHSum6MA4u+RRwxvLvdKw/acJcAENzAsENWzYAPHz4MK699lpMTk5icXERN9xwA44dOzbynv/+3/87Dhw4gKmpKWiahtXV1WTIpgTTNnMuky7CZtDpdEkIgDQYUotgn621Zod/L+n6tilel2gaZucSDgCt5tjlhL0SCYStjC376XrooYdw6NAhPPLII7j//vvR7XZx8OBB1Ot1/p5Go4HXvOY1+Df/5t8kyDQ9sFq+VArZ1BQZkwJICII0TI0RMVthncmiAphsAMh8NdcFVTJpBdB6TWiyBIGgDlv203XfffeN/PvOO+/E4uIijhw5guuvvx4AcMsttwAAHnzwwZjZpRPWubJpSf8CVF5CCIa0BYAzZUMBrAnzicsJjoIDzBRwXZgEUkj4wFeyZBySHANHIGx1bFkF0Iq1NaOLdG5uLmEmmwc7UlRrUkh4SD1hc+F8veP9phgxUzG9CRnSogButNOjAJYsKd9UNIEQCFsU6ZF4FGIwGOCWW27Bddddh6uvvjr032m322izbjAAtVqyNg7SoWlYmtuFTm8AXTNMUBNFJoNBNovBQMfhN17j/X4ByrreMhkgmzVfJw3iY4u9s2V8+9k15PLZVPBhAWCzr6OnGTySHgXHFMC1dp9zyiWsSpaLec5loGmJB8kAUvNMc6SJj6YBF11kviZsKmyLAPDQoUM4evQoHn744Uh/5/Dhw7j99tslsUohKhW8872fxIPHzgIAFiYSDgDn55Hp9aDpOl6UlsVlfh7o9bzfFxeIjy3e+ZrnYH6iiN89cCnwn5PnM1HMIZvRsFqZxmXv/BQA4L7di4lyYgrgiUyVc/rmzuTG5QFAYdci5wKY/omJIiXPNEea+FQqwFNPJc2CEBIpOM6oxU033YR7770XDzzwAPbu3Rvpb916661YW1vjXydOnJDEMj24QJjtGkQBZIqb/m4d1YLciRDW2kQCwQv756v4sxuuHnmek4SmaZix1CVWElbbWKf0uQ0zq5F0Ctja9LE7JfePQNiKSMHxSg10XcfNN9+Me+65Bw8++CD2798f+W8Wi0UUiwmrYopx6cIEf514CphA2EKYruRxTqhNTHoWMFMA6530+AAyTgwXzJR8/Z6ykg8CYQtjyyqAhw4dwkc+8hHcddddmJycxOnTp3H69Gk0m03+ntOnT+PRRx/F448/DgD49re/jUcffRQrKytJ0U4WzSZ+8fd+AZ/8m7ej2G0nHwCurADVqvGVlnuSNk7EZ9Pwma0UMNWo4bH3vRGPve+NqG4kW0PMFECRU3Y12VFwO9obeOw/G1ymGjXsnk6BApiiZyh1fJpN4NprjS9hbyVsDmxZBfCOO+4AABw4cGDk+x/+8Idx4403AgD+63/9ryM1fcweRnzPtsJggKmjj+IaGGOYEnec7/XM+ZJpqXlJGyfi444U8Zkp55HTB6j0jJSrriU7VmxiqLaJnJK+Rlq/j0rX4JLTB1hM+hAKpOoZ4hzSwmcwAL72NfM1YVNhywaAfiZH3HbbbbjtttvUk9mkSNs4LQJhM2O6Mvp5Srq2NZvRDPP3uvd7k0Iuu2WTVARC4qBPF8EWv3fgEjz/gumkaRAIWwbMDDpNoEMegbB9QQEgwRa//6orElcoCISthNlK+oItu/nfacH73hTM+5NAIATDlk0BEwgEQpowEyEAVNXlOlvJ44z0vyoHP3Flsj6JBMJWBymABAKBEAPSqLZFCUoJBMLmBimAhFHMzyfNYBRpTEOnjRPxcUdK+LAU8AAaNA1IA6vpYV3iYMgmFYpASu7XCNLGKU180rZnEHyDAkCCiWoVOHs2aRYmFhfTZy2QNk7Exx0p4jNTLmClOoNL/uQfcNvPXYUbF5NPcc5U8pzTiy+axceS5pSi+8WRNk5p4pO2PYMQCKk48BEIBMJWh5huvWC2kiATE+J4uqSngBAIhHhBn3gCgUCIAaIP4PxEOuoBxaCUAkACYXuBPvEEE80mcOCA8ZWGsT4rK8DMjPGV9MgjhrRxIj7uSBGfyWIOU40avvWXb8KPvGB/4nwAYGY4nu5bf/kmfPDQq5LnlKL7xZE2Tmnik7Y9gxAIVANIMDEYAA89ZL5OGr0esLZmvk4D0saJ+LgjRXw0TcNn/+A6TP2XBtBOng9gjqebagcbLabKliZN94sjbZzSxCdtewYhEEgBJBAIhJiwOFlKmsIILpgtJ02BQCAkBAoACQQCYZti72wFH/y1FyZNg0AgJAAKAAkEAmEb42WX7EiaAoFASAAUABIIBAKBQCBsM1AASCAQCAQCgbDNQF3AhFFU0mFQSyAQCIRNANozNi00XdcV9PJvD9RqNUxPT2NtbQ1TU1NJ0yEQCAQCgeADtH9TCphAIBAIBAJh24ECQAKBQCAQCIRtBgoACSZaLeB1rzO+Wq2k2QCrq8DiovG1upo0GwNp40R83EF8vJEmTmniwpA2Tmnik7Y9gxAI1ARCMNHvA5/+tPk6aXQ6wNmz5us0IG2ciI87iI830sQpTVwY0sYpTXzStmcQAoEUQAKBQCAQCIRtBgoACQQCgUAgELYZKAAkEAgEAoFA2GagAJBAIBAIBAJhm4ECQAKBQCAQCIRtBuoCjgA2RKVWqyXMRBLqdfN1rZZ8V9f6+ujrUik5LiIP8XXSnIiPO4iPN9LEKU1cRB7i66Q5pYlP2vaMAGD79nYehkaj4CLgmWeewb59+5KmQSAQCAQCIQROnDiBvXv3Jk0jEVAAGAGDwQAnT57E5OQkNE2T+rdrtRr27duHEydObNs5hX5B18o/6Fr5B10r/6Br5R90rfxD5bXSdR3r6+vYs2cPMpntWQ1HKeAIyGQyyk8O/1879x8TZf3AAfx9eNwJo+NUhIMKxEmRIowgr8taf3BLzWU115zDjcrZMFy6OafViv4p3NraqjVatbStFlMnpuaPGChmQwiCBHWISdGcQMVQKFPh3t8/mE89iMUf8dx9ed6v7TZ4Pp/dPs97t8/eO3g+Ho9Hm8Q4KavxU1bjp6zGT1mNn7Iav4nKKj4+/j9/z/8n9qy9IiIiIjamAigiIiJiMyqAEcrtdqO0tBRutzvcS4l4ymr8lNX4KavxU1bjp6zGT1lNLD0EIiIiImIz+gZQRERExGZUAEVERERsRgVQRERExGZUAEVERERsRgUwAr333nuYNWsWpk6dCr/fj4aGhnAvyXLHjh3DY489hpSUFDgcDuzZs8c0ThKvvvoqkpOTERMTg2AwiI6ODtOcvr4+FBYWwuPxwOv1YvXq1RgcHLTwLqxRVlaG++67D7fddhsSExPxxBNPoL293TTnzz//RElJCWbMmIG4uDgsX74cPT09pjldXV1YunQpYmNjkZiYiE2bNmFoaMjKW5lw5eXlyM7ONg6WDQQCOHjwoDGunG5t69atcDgc2LBhg3FNeY147bXX4HA4TK/MzExjXDmZXbhwAatWrcKMGTMQExOD+fPno7Gx0RjX/m4RSkSpqKigy+Xixx9/zFOnTnHNmjX0er3s6ekJ99IsdeDAAb788svcvXs3AbCystI0vnXrVsbHx3PPnj38/vvvuWzZMqanp/PKlSvGnMWLFzMnJ4cnTpzg119/zTlz5nDlypUW38nEW7RoEbdt28a2tja2tLTw0UcfZWpqKgcHB405xcXFvPPOO1ldXc3Gxkbef//9fOCBB4zxoaEhZmVlMRgMsrm5mQcOHGBCQgJffPHFcNzShNm7dy+//PJLnj17lu3t7XzppZcYHR3NtrY2ksrpVhoaGjhr1ixmZ2dz/fr1xnXlNaK0tJTz5s3jxYsXjdcvv/xijCunv/T19TEtLY1PP/006+vref78eR4+fJjnzp0z5mh/t4YKYIRZsGABS0pKjN+Hh4eZkpLCsrKyMK4qvEYXwFAoRJ/PxzfffNO41t/fT7fbzc8//5wkefr0aQLgt99+a8w5ePAgHQ4HL1y4YNnaw6G3t5cAWFtbS3Ikm+joaO7cudOYc+bMGQJgXV0dyZHCHRUVxe7ubmNOeXk5PR4Pr169au0NWGzatGn86KOPlNMtDAwMMCMjg1VVVXz44YeNAqi8/lJaWsqcnJwxx5ST2ebNm/nggw/eclz7u3X0J+AIcu3aNTQ1NSEYDBrXoqKiEAwGUVdXF8aVRZbOzk50d3ebcoqPj4ff7zdyqqurg9frRX5+vjEnGAwiKioK9fX1lq/ZSpcuXQIATJ8+HQDQ1NSE69evm/LKzMxEamqqKa/58+cjKSnJmLNo0SJcvnwZp06dsnD11hkeHkZFRQV+//13BAIB5XQLJSUlWLp0qSkXQJ+r0To6OpCSkoLZs2ejsLAQXV1dAJTTaHv37kV+fj6eeuopJCYmIjc3Fx9++KExrv3dOiqAEeTXX3/F8PCwaRMAgKSkJHR3d4dpVZHnRhb/lFN3dzcSExNN406nE9OnT5/UWYZCIWzYsAELFy5EVlYWgJEsXC4XvF6vae7ovMbK88bYZNLa2oq4uDi43W4UFxejsrISc+fOVU5jqKiowHfffYeysrKbxpTXX/x+P7Zv345Dhw6hvLwcnZ2deOihhzAwMKCcRjl//jzKy8uRkZGBw4cPY+3atXjhhRfwySefAND+biVnuBcgIv+dkpIStLW14fjx4+FeSsS6++670dLSgkuXLmHXrl0oKipCbW1tuJcVcX7++WesX78eVVVVmDp1ariXE9GWLFli/JydnQ2/34+0tDTs2LEDMTExYVxZ5AmFQsjPz8cbb7wBAMjNzUVbWxvef/99FBUVhXl19qJvACNIQkICpkyZctPTYT09PfD5fGFaVeS5kcU/5eTz+dDb22saHxoaQl9f36TNct26ddi/fz+OHDmCO+64w7ju8/lw7do19Pf3m+aPzmusPG+MTSYulwtz5sxBXl4eysrKkJOTg7fffls5jdLU1ITe3l7ce++9cDqdcDqdqK2txTvvvAOn04mkpCTldQterxd33XUXzp07p8/VKMnJyZg7d67p2j333GP8yVz7u3VUACOIy+VCXl4eqqurjWuhUAjV1dUIBAJhXFlkSU9Ph8/nM+V0+fJl1NfXGzkFAgH09/ejqanJmFNTU4NQKAS/32/5micSSaxbtw6VlZWoqalBenq6aTwvLw/R0dGmvNrb29HV1WXKq7W11bSpVlVVwePx3LRZTzahUAhXr15VTqMUFBSgtbUVLS0txis/Px+FhYXGz8prbIODg/jhhx+QnJysz9UoCxcuvOmYqrNnzyItLQ2A9ndLhfspFDGrqKig2+3m9u3befr0aT733HP0er2mp8PsYGBggM3NzWxubiYAvvXWW2xubuZPP/1EcuSYAK/Xyy+++IInT57k448/PuYxAbm5uayvr+fx48eZkZExKY8JWLt2LePj43n06FHTMRR//PGHMae4uJipqamsqalhY2MjA4EAA4GAMX7jGIpHHnmELS0tPHToEGfOnDnpjqHYsmULa2tr2dnZyZMnT3LLli10OBz86quvSCqnf/P3p4BJ5XXDxo0befToUXZ2dvKbb75hMBhkQkICe3t7SSqnv2toaKDT6eTrr7/Ojo4OfvbZZ4yNjeWnn35qzNH+bg0VwAj07rvvMjU1lS6XiwsWLOCJEyfCvSTLHTlyhABuehUVFZEcOSrglVdeYVJSEt1uNwsKCtje3m56j99++40rV65kXFwcPR4Pn3nmGQ4MDIThbibWWDkB4LZt24w5V65c4fPPP89p06YxNjaWTz75JC9evGh6nx9//JFLlixhTEwMExISuHHjRl6/ft3iu5lYzz77LNPS0uhyuThz5kwWFBQY5Y9UTv9mdAFUXiNWrFjB5ORkulwu3n777VyxYoXpXDvlZLZv3z5mZWXR7XYzMzOTH3zwgWlc+7s1HCQZnu8eRURERCQc9D+AIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjajAigiIiJiMyqAIiIiIjbzPzpI30TPdYNJAAAAAElFTkSuQmCC", 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", "text/html": [ "\n", "
\n", "
\n", " Figure\n", "
\n", - " \n", + " \n", "
\n", " " ], @@ -383,23 +419,47 @@ ], "source": [ "## Plot results of inspiratory TIV method of a single pixel based on the timing of the continuous breaths\n", + "\n", "plt.figure()\n", - "plt.plot(pixel_data[:, pixel_row, pixel_col])\n", + "plt.plot(pixel_data[:, pixel_row, pixel_col], label=\"Pixel Impedance\")\n", + "\n", + "# Prepare the timing array for inspiratory TIV with continuous timing\n", + "tiv_result_pixel_inspiratory_continuous_timing_time = (\n", + " np.empty((0, n_rows, n_cols))\n", + " if not len(tiv_result_pixel_inspiratory_continuous_timing.time)\n", + " else np.stack(tiv_result_pixel_inspiratory_continuous_timing.time)\n", + ")\n", + "\n", + "# Plot vertical lines based on TIV timing values\n", + "mid_indices = np.searchsorted(\n", + " continuous_time,\n", + " tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col][\n", + " tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col] != None\n", + " ]\n", + ")\n", "\n", - "for i, glo_mid_idx in enumerate(continuous_middle_indices):\n", + "for i, glo_mid_idx in enumerate(mid_indices):\n", " plt.vlines(\n", " x=glo_mid_idx,\n", - " ymin=pixel_data[glo_mid_idx, pixel_row, pixel_col]\n", - " - tiv_result_pixel_inspiratory_continuous_timing[i, pixel_row, pixel_col],\n", + " ymin=(\n", + " pixel_data[glo_mid_idx, pixel_row, pixel_col]\n", + " - tiv_result_pixel_inspiratory_continuous_timing_values[i, pixel_row, pixel_col]\n", + " ),\n", " ymax=pixel_data[glo_mid_idx, pixel_row, pixel_col],\n", " color=\"g\",\n", " linestyle=\"-\",\n", - " label=\"TIV\",\n", + " label=\"TIV\" if i == 0 else None # Label only once\n", " )\n", "\n", - "for i in range(len(continuous_start_indices)):\n", - " plt.axvline(continuous_start_indices[i], color=\"red\", ls=\"--\")\n", - " plt.axvline(continuous_end_indices[i], color=\"red\", ls=\"--\")" + "# Add vertical lines for continuous start and end indices\n", + "for start_idx, end_idx in zip(continuous_start_indices, continuous_end_indices):\n", + " plt.axvline(start_idx, color=\"red\", ls=\"--\", label=\"Start\" if start_idx == continuous_start_indices[0] else None)\n", + " plt.axvline(end_idx, color=\"red\", ls=\"--\", label=\"End\" if end_idx == continuous_end_indices[0] else None)\n", + "\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Impedance (a.u.)\")\n", + "plt.legend()\n", + "plt.show()\n" ] } ], @@ -409,7 +469,7 @@ "custom_cell_magics": "kql" }, "kernelspec": { - "display_name": ".venv", + "display_name": "ALIVE", "language": "python", "name": "python3" }, @@ -423,7 +483,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.15" + "version": "3.10.11" } }, "nbformat": 4, From 539346401eda7263d3630cfe7530ac450b57e362 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Tue, 29 Oct 2024 16:44:29 +0100 Subject: [PATCH 14/21] adjusted tests to work with sparsedata return from eeli --- tests/test_eeli.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_eeli.py b/tests/test_eeli.py index 86c0a0403..0c7e85f75 100644 --- a/tests/test_eeli.py +++ b/tests/test_eeli.py @@ -59,7 +59,7 @@ def test_compute_parameter( expected_number_breaths = duration * frequency - 1 cd = create_continuous_data_object(sample_frequency, duration * sample_frequency, frequency) eeli = EELI() - eeli_values = eeli.compute_parameter(cd) + eeli_values = eeli.compute_parameter(cd).values assert len(eeli_values) == expected_number_breaths if len(eeli_values) > 0: assert set(eeli_values.tolist()) == {-1.0} @@ -87,7 +87,7 @@ def test_eeli_values(repeat_n: int): # noqa: ARG001 sample_frequency=sample_frequency, ) eeli = EELI(breath_detection_kwargs={"minimum_duration": 0}) - eeli_values = eeli.compute_parameter(cd) + eeli_values = eeli.compute_parameter(cd).values assert len(eeli_values) == expected_n_breaths assert np.array_equal(eeli_values, valley_values[1:]) @@ -98,7 +98,7 @@ def test_with_data(draeger1: Sequence, pytestconfig: pytest.Config): pytest.skip("Skip with option '--cov' so other tests can cover 100%.") cd = draeger1.continuous_data["global_impedance_(raw)"] - eeli_values = EELI().compute_parameter(cd) + eeli_values = EELI().compute_parameter(cd).values breaths = BreathDetection().find_breaths(cd) From 07b17af1d17648e978165355745959f5527febcf Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Wed, 30 Oct 2024 13:16:05 +0100 Subject: [PATCH 15/21] added result labels --- notebooks/test_parameter_tiv.ipynb | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/notebooks/test_parameter_tiv.ipynb b/notebooks/test_parameter_tiv.ipynb index 95458041f..ee69120c9 100644 --- a/notebooks/test_parameter_tiv.ipynb +++ b/notebooks/test_parameter_tiv.ipynb @@ -192,6 +192,7 @@ " ssequence,\n", " tiv_method=\"inspiratory\",\n", " tiv_timing=\"pixel\",\n", + " result_label = \"inspiratory pixel tiv\",\n", ")\n", "tiv_result_pixel_inspiratory_values = (\n", " np.empty((0, n_rows, n_cols))\n", @@ -205,6 +206,7 @@ " ssequence,\n", " tiv_method=\"inspiratory\",\n", " tiv_timing=\"continuous\",\n", + " result_label = \"inspiratory pixel tiv with continuous timing\"\n", ")\n", "\n", "tiv_result_pixel_inspiratory_continuous_timing_values = (\n", @@ -231,7 +233,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5803fc018f6a4acfbb225d823629de1d", + "model_id": "62ff712501eb42af8af78e63235ab275", "version_major": 2, "version_minor": 0 }, @@ -292,7 +294,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2660e15c7b504baf80d37cbd71e1da03", + "model_id": "17a38a7411a841b4830525bb7d868f4a", "version_major": 2, "version_minor": 0 }, @@ -387,25 +389,25 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 11, "id": "ee772f3f", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "78b5867cc6fc48be9ceaa2a3ec8c58ec", + "model_id": "1877adb073184601a2fc1b5bd696776e", "version_major": 2, "version_minor": 0 }, - "image/png": 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", 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", "text/html": [ "\n", "
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\n", " " ], @@ -454,7 +456,7 @@ "# Add vertical lines for continuous start and end indices\n", "for start_idx, end_idx in zip(continuous_start_indices, continuous_end_indices):\n", " plt.axvline(start_idx, color=\"red\", ls=\"--\", label=\"Start\" if start_idx == continuous_start_indices[0] else None)\n", - " plt.axvline(end_idx, color=\"red\", ls=\"--\", label=\"End\" if end_idx == continuous_end_indices[0] else None)\n", + " plt.axvline(end_idx, color=\"black\", ls=\"-.\", label=\"End\" if end_idx == continuous_end_indices[0] else None)\n", "\n", "plt.xlabel(\"Time\")\n", "plt.ylabel(\"Impedance (a.u.)\")\n", From 3954d5d60bf10db2b896e87cc36b02834562e169 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Wed, 30 Oct 2024 13:16:37 +0100 Subject: [PATCH 16/21] fixed mock sparsedata to have the same amount of time points as values --- tests/test_pixel_breath.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/tests/test_pixel_breath.py b/tests/test_pixel_breath.py index 9c85e5541..2819fd8f0 100644 --- a/tests/test_pixel_breath.py +++ b/tests/test_pixel_breath.py @@ -63,7 +63,7 @@ def mock_global_impedance(): ) -@pytest.fixture +@pytest.fixture() def mock_continuous_data(): """Fixture to provide an instance of ContinuousData.""" return ContinuousData( @@ -80,7 +80,7 @@ def mock_continuous_data(): ) -@pytest.fixture +@pytest.fixture() def mock_eit_data(): """Fixture to provide an instance of EITData.""" return EITData( @@ -95,7 +95,7 @@ def mock_eit_data(): ) -@pytest.fixture +@pytest.fixture() def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): """Fixture to provide an instance of Sequence.""" data_collection_eit = DataCollection(EITData) @@ -118,7 +118,7 @@ def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): ) -@pytest.fixture +@pytest.fixture() def mock_zero_eit_data(): """Fixture to provide an instance of EITData with one element set to zero.""" return EITData( @@ -133,7 +133,7 @@ def mock_zero_eit_data(): ) -@pytest.fixture +@pytest.fixture() def mock_only_pixel_impedance(): """Mock pixel_impedance with phase shifted cosines for testing.""" """Mock pixel_impedance with phase shifted cosines for testing.""" @@ -156,12 +156,12 @@ def mock_only_pixel_impedance(): return time, pixel_impedance -@pytest.fixture +@pytest.fixture() def not_a_sequence(): return [] -@pytest.fixture +@pytest.fixture() def none_sequence(): return None @@ -174,7 +174,7 @@ def _mock(*_args, **_kwargs) -> np.ndarray: name="Tidal impedance variation", unit=None, category="impedance difference", - time=np.linspace(0, 100), + time=np.linspace(0, 100, 100), description="Mock tidal impedance variation", parameters={}, derived_from=[], @@ -186,7 +186,7 @@ def _mock(*_args, **_kwargs) -> np.ndarray: name="Tidal impedance variation", unit=None, category="impedance difference", - time=np.linspace(0, 100), + time=np.linspace(0, 100, 100), description="Mock tidal impedance variation", parameters={}, derived_from=[], @@ -197,7 +197,7 @@ def _mock(*_args, **_kwargs) -> np.ndarray: name="Tidal impedance variation", unit=None, category="impedance difference", - time=np.linspace(0, 100), + time=np.linspace(0, 100, 100), description="Mock tidal impedance variation", parameters={}, derived_from=[], From a4c8ec8d28ab872d5526c70d421c5f6c5296b579 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Wed, 30 Oct 2024 13:18:55 +0100 Subject: [PATCH 17/21] fixed ruff linting check --- eitprocessing/parameters/eeli.py | 3 +-- tests/test_butterworth_filter.py | 2 +- tests/test_categories.py | 2 +- tests/test_datacollection.py | 2 +- tests/test_intervaldata.py | 8 ++++---- tests/test_parameter_tiv.py | 10 +++++----- tests/test_sparsedata.py | 6 +++--- 7 files changed, 16 insertions(+), 17 deletions(-) diff --git a/eitprocessing/parameters/eeli.py b/eitprocessing/parameters/eeli.py index 897046181..aa9af73d6 100644 --- a/eitprocessing/parameters/eeli.py +++ b/eitprocessing/parameters/eeli.py @@ -71,7 +71,7 @@ def compute_parameter( breaths = breath_detection.find_breaths(continuous_data) if not len(breaths): - eeli_container = SparseData( + return SparseData( label=result_label, name="End-expiratory lung impedance (EELI)", unit=None, @@ -82,7 +82,6 @@ def compute_parameter( derived_from=[continuous_data], values=np.array([], dtype=float), ) - return eeli_container _, _, end_expiratory_times = zip(*breaths.values, strict=True) end_expiratory_indices = np.flatnonzero(np.isin(continuous_data.time, end_expiratory_times)) diff --git a/tests/test_butterworth_filter.py b/tests/test_butterworth_filter.py index 0cb406d37..1d3f430ea 100644 --- a/tests/test_butterworth_filter.py +++ b/tests/test_butterworth_filter.py @@ -15,7 +15,7 @@ SpecifiedFilter: TypeAlias = type[LowPassFilter | HighPassFilter | BandPassFilter | BandStopFilter] -@pytest.fixture +@pytest.fixture() def filter_arguments(): return { "filter_type": "lowpass", diff --git a/tests/test_categories.py b/tests/test_categories.py index a8596266f..d302738c1 100644 --- a/tests/test_categories.py +++ b/tests/test_categories.py @@ -47,7 +47,7 @@ } -@pytest.fixture +@pytest.fixture() def categories_from_dict() -> Category: return Category.from_dict(categories_dict) diff --git a/tests/test_datacollection.py b/tests/test_datacollection.py index e6589d413..93d920e26 100644 --- a/tests/test_datacollection.py +++ b/tests/test_datacollection.py @@ -12,7 +12,7 @@ from eitprocessing.datahandling.sparsedata import SparseData -@pytest.fixture +@pytest.fixture() def create_data_object() -> Callable[[str, list | None], ContinuousData]: def internal( label: str, diff --git a/tests/test_intervaldata.py b/tests/test_intervaldata.py index e5bffc387..2ec355bea 100644 --- a/tests/test_intervaldata.py +++ b/tests/test_intervaldata.py @@ -6,7 +6,7 @@ from eitprocessing.datahandling.intervaldata import Interval, IntervalData -@pytest.fixture +@pytest.fixture() def intervaldata_novalues_partialtrue(): """IntervalData object without values, and partial inclusion set to True by default. @@ -23,7 +23,7 @@ def intervaldata_novalues_partialtrue(): ) -@pytest.fixture +@pytest.fixture() def intervaldata_novalues_partialfalse(): """IntervalData object without values, without partial inclusion. @@ -40,7 +40,7 @@ def intervaldata_novalues_partialfalse(): ) -@pytest.fixture +@pytest.fixture() def intervaldata_valueslist_partialfalse(): """IntervalData object with values as list, no partial inclusion. @@ -58,7 +58,7 @@ def intervaldata_valueslist_partialfalse(): ) -@pytest.fixture +@pytest.fixture() def intervaldata_valuesarray_partialfalse(): """IntervalData object with values as numpy array, no partial inclusion. diff --git a/tests/test_parameter_tiv.py b/tests/test_parameter_tiv.py index 804d50804..ee811d968 100644 --- a/tests/test_parameter_tiv.py +++ b/tests/test_parameter_tiv.py @@ -75,7 +75,7 @@ def mock_global_impedance(): ) -@pytest.fixture +@pytest.fixture() def mock_continuous_data(): """Fixture to provide an instance of ContinuousData.""" return ContinuousData( @@ -92,7 +92,7 @@ def mock_continuous_data(): ) -@pytest.fixture +@pytest.fixture() def mock_eit_data(): """Fixture to provide an instance of EITData.""" return EITData( @@ -107,7 +107,7 @@ def mock_eit_data(): ) -@pytest.fixture +@pytest.fixture() def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): """Fixture to provide an instance of Sequence.""" data_collection_eit = DataCollection(EITData) @@ -130,12 +130,12 @@ def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): ) -@pytest.fixture +@pytest.fixture() def not_a_sequence(): return [] -@pytest.fixture +@pytest.fixture() def none_sequence(): return None diff --git a/tests/test_sparsedata.py b/tests/test_sparsedata.py index d706cf8e9..9e6b4f703 100644 --- a/tests/test_sparsedata.py +++ b/tests/test_sparsedata.py @@ -7,7 +7,7 @@ from eitprocessing.datahandling.sparsedata import SparseData -@pytest.fixture +@pytest.fixture() def sparsedata_novalues(): """SparseData object without values and random time points.""" n = random.randint(50, 150) @@ -20,7 +20,7 @@ def sparsedata_novalues(): ) -@pytest.fixture +@pytest.fixture() def sparsedata_valueslist(): """SparseData object with random values as list at random time points.""" n = random.randint(50, 150) @@ -36,7 +36,7 @@ def sparsedata_valueslist(): ) -@pytest.fixture +@pytest.fixture() def sparsedata_valuesarray(): """SparseData object with random values as array at random time points.""" n = random.randint(50, 150) From a4d7a9b922a6d1309493302f7aba2573162f34e4 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Wed, 30 Oct 2024 13:49:51 +0100 Subject: [PATCH 18/21] fixed linting with updated ruff --- notebooks/test_parameter_eeli_.ipynb | 1 + notebooks/test_parameter_tiv.ipynb | 60 ++++++++++++++-------------- tests/test_butterworth_filter.py | 2 +- tests/test_categories.py | 2 +- tests/test_datacollection.py | 2 +- tests/test_intervaldata.py | 8 ++-- tests/test_parameter_tiv.py | 10 ++--- tests/test_pixel_breath.py | 14 +++---- tests/test_sparsedata.py | 6 +-- 9 files changed, 54 insertions(+), 51 deletions(-) diff --git a/notebooks/test_parameter_eeli_.ipynb b/notebooks/test_parameter_eeli_.ipynb index 2174efe7e..ab9b8cbde 100644 --- a/notebooks/test_parameter_eeli_.ipynb +++ b/notebooks/test_parameter_eeli_.ipynb @@ -143,6 +143,7 @@ ], "source": [ "import numpy as np\n", + "\n", "fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)\n", "for ax, result, gi in zip(\n", " (ax1, ax2),\n", diff --git a/notebooks/test_parameter_tiv.ipynb b/notebooks/test_parameter_tiv.ipynb index ee69120c9..9f6666e2b 100644 --- a/notebooks/test_parameter_tiv.ipynb +++ b/notebooks/test_parameter_tiv.ipynb @@ -233,7 +233,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "62ff712501eb42af8af78e63235ab275", + "model_id": "105895a5d5ab4418a84e43c4b48b1bfb", "version_major": 2, "version_minor": 0 }, @@ -294,7 +294,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "17a38a7411a841b4830525bb7d868f4a", + "model_id": "1f746bd87e934db8bfe3d8567855da16", "version_major": 2, "version_minor": 0 }, @@ -326,45 +326,47 @@ "pixel_data = ssequence.eit_data[\"raw\"].pixel_impedance\n", "\n", "tiv_result_pixel_inspiratory_time = (\n", - " np.empty((0, n_rows, n_cols)) \n", - " if not len(tiv_result_pixel_inspiratory.time) \n", + " np.empty((0, n_rows, n_cols))\n", + " if not len(tiv_result_pixel_inspiratory.time)\n", " else np.stack(tiv_result_pixel_inspiratory.time)\n", ")\n", "\n", "plt.figure()\n", "plt.plot(pixel_data[:, pixel_row, pixel_col], label=\"Pixel Impedance\")\n", "plt.plot(\n", - " pixel_start_indices, \n", - " pixel_data[pixel_start_indices, pixel_row, pixel_col], \n", - " \"*\", \n", + " pixel_start_indices,\n", + " pixel_data[pixel_start_indices, pixel_row, pixel_col],\n", + " \"*\",\n", " label=\"Start Indices\"\n", ")\n", "plt.plot(\n", - " pixel_middle_indices, \n", - " pixel_data[pixel_middle_indices, pixel_row, pixel_col], \n", - " \"o\", \n", + " pixel_middle_indices,\n", + " pixel_data[pixel_middle_indices, pixel_row, pixel_col],\n", + " \"o\",\n", " label=\"Middle Indices\"\n", ")\n", "plt.plot(\n", - " pixel_end_indices, \n", - " pixel_data[pixel_end_indices, pixel_row, pixel_col], \n", - " \"x\", \n", + " pixel_end_indices,\n", + " pixel_data[pixel_end_indices, pixel_row, pixel_col],\n", + " \"x\",\n", " label=\"End Indices\"\n", ")\n", "\n", - "# Plot vertical lines at middle indices\n", - "mid_indices = np.searchsorted(\n", - " ssequence.eit_data[\"raw\"].time, \n", - " tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col][\n", - " tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col] != None\n", - " ]\n", - ")\n", + "# Filter out None values from tiv_result_pixel_inspiratory_time for the specific pixel\n", + "valid_times = [\n", + " time for time in tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col]\n", + " if time is not None\n", + "]\n", + "\n", + "# Use np.searchsorted on the filtered times\n", + "mid_indices = np.searchsorted(ssequence.eit_data[\"raw\"].time, valid_times)\n", "\n", + "# Plot vertical lines at middle indices\n", "for i, mid_idx in enumerate(mid_indices):\n", " plt.vlines(\n", " x=mid_idx,\n", " ymin=(\n", - " pixel_data[mid_idx, pixel_row, pixel_col] \n", + " pixel_data[mid_idx, pixel_row, pixel_col]\n", " - tiv_result_pixel_inspiratory_values[i + 1, pixel_row, pixel_col]\n", " ),\n", " ymax=pixel_data[mid_idx, pixel_row, pixel_col],\n", @@ -396,7 +398,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1877adb073184601a2fc1b5bd696776e", + "model_id": "c5d3a29e8d3a4e86937bcaee95da5088", "version_major": 2, "version_minor": 0 }, @@ -433,12 +435,12 @@ ")\n", "\n", "# Plot vertical lines based on TIV timing values\n", - "mid_indices = np.searchsorted(\n", - " continuous_time,\n", - " tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col][\n", - " tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col] != None\n", - " ]\n", - ")\n", + "valid_times = [\n", + " time for time in tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col]\n", + " if time is not None\n", + "]\n", + "\n", + "mid_indices = np.searchsorted(continuous_time, valid_times)\n", "\n", "for i, glo_mid_idx in enumerate(mid_indices):\n", " plt.vlines(\n", @@ -454,7 +456,7 @@ " )\n", "\n", "# Add vertical lines for continuous start and end indices\n", - "for start_idx, end_idx in zip(continuous_start_indices, continuous_end_indices):\n", + "for start_idx, end_idx in zip(continuous_start_indices, continuous_end_indices, strict = True):\n", " plt.axvline(start_idx, color=\"red\", ls=\"--\", label=\"Start\" if start_idx == continuous_start_indices[0] else None)\n", " plt.axvline(end_idx, color=\"black\", ls=\"-.\", label=\"End\" if end_idx == continuous_end_indices[0] else None)\n", "\n", diff --git a/tests/test_butterworth_filter.py b/tests/test_butterworth_filter.py index 1d3f430ea..0cb406d37 100644 --- a/tests/test_butterworth_filter.py +++ b/tests/test_butterworth_filter.py @@ -15,7 +15,7 @@ SpecifiedFilter: TypeAlias = type[LowPassFilter | HighPassFilter | BandPassFilter | BandStopFilter] -@pytest.fixture() +@pytest.fixture def filter_arguments(): return { "filter_type": "lowpass", diff --git a/tests/test_categories.py b/tests/test_categories.py index d302738c1..a8596266f 100644 --- a/tests/test_categories.py +++ b/tests/test_categories.py @@ -47,7 +47,7 @@ } -@pytest.fixture() +@pytest.fixture def categories_from_dict() -> Category: return Category.from_dict(categories_dict) diff --git a/tests/test_datacollection.py b/tests/test_datacollection.py index 93d920e26..e6589d413 100644 --- a/tests/test_datacollection.py +++ b/tests/test_datacollection.py @@ -12,7 +12,7 @@ from eitprocessing.datahandling.sparsedata import SparseData -@pytest.fixture() +@pytest.fixture def create_data_object() -> Callable[[str, list | None], ContinuousData]: def internal( label: str, diff --git a/tests/test_intervaldata.py b/tests/test_intervaldata.py index 2ec355bea..e5bffc387 100644 --- a/tests/test_intervaldata.py +++ b/tests/test_intervaldata.py @@ -6,7 +6,7 @@ from eitprocessing.datahandling.intervaldata import Interval, IntervalData -@pytest.fixture() +@pytest.fixture def intervaldata_novalues_partialtrue(): """IntervalData object without values, and partial inclusion set to True by default. @@ -23,7 +23,7 @@ def intervaldata_novalues_partialtrue(): ) -@pytest.fixture() +@pytest.fixture def intervaldata_novalues_partialfalse(): """IntervalData object without values, without partial inclusion. @@ -40,7 +40,7 @@ def intervaldata_novalues_partialfalse(): ) -@pytest.fixture() +@pytest.fixture def intervaldata_valueslist_partialfalse(): """IntervalData object with values as list, no partial inclusion. @@ -58,7 +58,7 @@ def intervaldata_valueslist_partialfalse(): ) -@pytest.fixture() +@pytest.fixture def intervaldata_valuesarray_partialfalse(): """IntervalData object with values as numpy array, no partial inclusion. diff --git a/tests/test_parameter_tiv.py b/tests/test_parameter_tiv.py index ee811d968..804d50804 100644 --- a/tests/test_parameter_tiv.py +++ b/tests/test_parameter_tiv.py @@ -75,7 +75,7 @@ def mock_global_impedance(): ) -@pytest.fixture() +@pytest.fixture def mock_continuous_data(): """Fixture to provide an instance of ContinuousData.""" return ContinuousData( @@ -92,7 +92,7 @@ def mock_continuous_data(): ) -@pytest.fixture() +@pytest.fixture def mock_eit_data(): """Fixture to provide an instance of EITData.""" return EITData( @@ -107,7 +107,7 @@ def mock_eit_data(): ) -@pytest.fixture() +@pytest.fixture def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): """Fixture to provide an instance of Sequence.""" data_collection_eit = DataCollection(EITData) @@ -130,12 +130,12 @@ def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): ) -@pytest.fixture() +@pytest.fixture def not_a_sequence(): return [] -@pytest.fixture() +@pytest.fixture def none_sequence(): return None diff --git a/tests/test_pixel_breath.py b/tests/test_pixel_breath.py index 2819fd8f0..872aacf8e 100644 --- a/tests/test_pixel_breath.py +++ b/tests/test_pixel_breath.py @@ -63,7 +63,7 @@ def mock_global_impedance(): ) -@pytest.fixture() +@pytest.fixture def mock_continuous_data(): """Fixture to provide an instance of ContinuousData.""" return ContinuousData( @@ -80,7 +80,7 @@ def mock_continuous_data(): ) -@pytest.fixture() +@pytest.fixture def mock_eit_data(): """Fixture to provide an instance of EITData.""" return EITData( @@ -95,7 +95,7 @@ def mock_eit_data(): ) -@pytest.fixture() +@pytest.fixture def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): """Fixture to provide an instance of Sequence.""" data_collection_eit = DataCollection(EITData) @@ -118,7 +118,7 @@ def mock_sequence(mock_eit_data: EITData, mock_continuous_data: ContinuousData): ) -@pytest.fixture() +@pytest.fixture def mock_zero_eit_data(): """Fixture to provide an instance of EITData with one element set to zero.""" return EITData( @@ -133,7 +133,7 @@ def mock_zero_eit_data(): ) -@pytest.fixture() +@pytest.fixture def mock_only_pixel_impedance(): """Mock pixel_impedance with phase shifted cosines for testing.""" """Mock pixel_impedance with phase shifted cosines for testing.""" @@ -156,12 +156,12 @@ def mock_only_pixel_impedance(): return time, pixel_impedance -@pytest.fixture() +@pytest.fixture def not_a_sequence(): return [] -@pytest.fixture() +@pytest.fixture def none_sequence(): return None diff --git a/tests/test_sparsedata.py b/tests/test_sparsedata.py index 9e6b4f703..d706cf8e9 100644 --- a/tests/test_sparsedata.py +++ b/tests/test_sparsedata.py @@ -7,7 +7,7 @@ from eitprocessing.datahandling.sparsedata import SparseData -@pytest.fixture() +@pytest.fixture def sparsedata_novalues(): """SparseData object without values and random time points.""" n = random.randint(50, 150) @@ -20,7 +20,7 @@ def sparsedata_novalues(): ) -@pytest.fixture() +@pytest.fixture def sparsedata_valueslist(): """SparseData object with random values as list at random time points.""" n = random.randint(50, 150) @@ -36,7 +36,7 @@ def sparsedata_valueslist(): ) -@pytest.fixture() +@pytest.fixture def sparsedata_valuesarray(): """SparseData object with random values as array at random time points.""" n = random.randint(50, 150) From 97bffa89d312b272395cf17be6d7f7236f12bce3 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Wed, 30 Oct 2024 14:07:10 +0100 Subject: [PATCH 19/21] reformatted notebooks with ruff --- notebooks/test_parameter_eeli_.ipynb | 2 +- notebooks/test_parameter_tiv.ipynb | 55 ++++++++-------------------- 2 files changed, 17 insertions(+), 40 deletions(-) diff --git a/notebooks/test_parameter_eeli_.ipynb b/notebooks/test_parameter_eeli_.ipynb index ab9b8cbde..02df81d5a 100644 --- a/notebooks/test_parameter_eeli_.ipynb +++ b/notebooks/test_parameter_eeli_.ipynb @@ -69,7 +69,7 @@ " parameters={LowPassFilter: filter_params},\n", " time=gi.time,\n", " values=filter_.apply_filter(gi.values),\n", - " sample_frequency= gi.sample_frequency,\n", + " sample_frequency=gi.sample_frequency,\n", " ),\n", ")" ] diff --git a/notebooks/test_parameter_tiv.ipynb b/notebooks/test_parameter_tiv.ipynb index 9f6666e2b..8ca89835d 100644 --- a/notebooks/test_parameter_tiv.ipynb +++ b/notebooks/test_parameter_tiv.ipynb @@ -82,16 +82,13 @@ "continuous_data = ssequence.continuous_data[\"global_impedance_(raw)\"].values\n", "continuous_time = ssequence.continuous_data[\"global_impedance_(raw)\"].time\n", "continuous_start_indices = [\n", - " np.argmax(continuous_time == start_time)\n", - " for start_time in [breath.start_time for breath in breaths.values]\n", + " np.argmax(continuous_time == start_time) for start_time in [breath.start_time for breath in breaths.values]\n", "]\n", "continuous_middle_indices = [\n", - " np.argmax(continuous_time == middle_time)\n", - " for middle_time in [breath.middle_time for breath in breaths.values]\n", + " np.argmax(continuous_time == middle_time) for middle_time in [breath.middle_time for breath in breaths.values]\n", "]\n", "continuous_end_indices = [\n", - " np.argmax(continuous_time == end_time)\n", - " for end_time in [breath.end_time for breath in breaths.values]\n", + " np.argmax(continuous_time == end_time) for end_time in [breath.end_time for breath in breaths.values]\n", "]" ] }, @@ -192,7 +189,7 @@ " ssequence,\n", " tiv_method=\"inspiratory\",\n", " tiv_timing=\"pixel\",\n", - " result_label = \"inspiratory pixel tiv\",\n", + " result_label=\"inspiratory pixel tiv\",\n", ")\n", "tiv_result_pixel_inspiratory_values = (\n", " np.empty((0, n_rows, n_cols))\n", @@ -206,7 +203,7 @@ " ssequence,\n", " tiv_method=\"inspiratory\",\n", " tiv_timing=\"continuous\",\n", - " result_label = \"inspiratory pixel tiv with continuous timing\"\n", + " result_label=\"inspiratory pixel tiv with continuous timing\",\n", ")\n", "\n", "tiv_result_pixel_inspiratory_continuous_timing_values = (\n", @@ -333,30 +330,12 @@ "\n", "plt.figure()\n", "plt.plot(pixel_data[:, pixel_row, pixel_col], label=\"Pixel Impedance\")\n", - "plt.plot(\n", - " pixel_start_indices,\n", - " pixel_data[pixel_start_indices, pixel_row, pixel_col],\n", - " \"*\",\n", - " label=\"Start Indices\"\n", - ")\n", - "plt.plot(\n", - " pixel_middle_indices,\n", - " pixel_data[pixel_middle_indices, pixel_row, pixel_col],\n", - " \"o\",\n", - " label=\"Middle Indices\"\n", - ")\n", - "plt.plot(\n", - " pixel_end_indices,\n", - " pixel_data[pixel_end_indices, pixel_row, pixel_col],\n", - " \"x\",\n", - " label=\"End Indices\"\n", - ")\n", + "plt.plot(pixel_start_indices, pixel_data[pixel_start_indices, pixel_row, pixel_col], \"*\", label=\"Start Indices\")\n", + "plt.plot(pixel_middle_indices, pixel_data[pixel_middle_indices, pixel_row, pixel_col], \"o\", label=\"Middle Indices\")\n", + "plt.plot(pixel_end_indices, pixel_data[pixel_end_indices, pixel_row, pixel_col], \"x\", label=\"End Indices\")\n", "\n", "# Filter out None values from tiv_result_pixel_inspiratory_time for the specific pixel\n", - "valid_times = [\n", - " time for time in tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col]\n", - " if time is not None\n", - "]\n", + "valid_times = [time for time in tiv_result_pixel_inspiratory_time[:, pixel_row, pixel_col] if time is not None]\n", "\n", "# Use np.searchsorted on the filtered times\n", "mid_indices = np.searchsorted(ssequence.eit_data[\"raw\"].time, valid_times)\n", @@ -366,19 +345,18 @@ " plt.vlines(\n", " x=mid_idx,\n", " ymin=(\n", - " pixel_data[mid_idx, pixel_row, pixel_col]\n", - " - tiv_result_pixel_inspiratory_values[i + 1, pixel_row, pixel_col]\n", + " pixel_data[mid_idx, pixel_row, pixel_col] - tiv_result_pixel_inspiratory_values[i + 1, pixel_row, pixel_col]\n", " ),\n", " ymax=pixel_data[mid_idx, pixel_row, pixel_col],\n", " color=\"r\",\n", " linestyle=\"-\",\n", - " label=\"TIV Line\" if i == 0 else None # Label only once\n", + " label=\"TIV Line\" if i == 0 else None, # Label only once\n", " )\n", "\n", "plt.xlabel(\"Time\")\n", "plt.ylabel(\"Impedance (a.u.)\")\n", "plt.legend()\n", - "plt.show()\n" + "plt.show()" ] }, { @@ -436,8 +414,7 @@ "\n", "# Plot vertical lines based on TIV timing values\n", "valid_times = [\n", - " time for time in tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col]\n", - " if time is not None\n", + " time for time in tiv_result_pixel_inspiratory_continuous_timing_time[:, pixel_row, pixel_col] if time is not None\n", "]\n", "\n", "mid_indices = np.searchsorted(continuous_time, valid_times)\n", @@ -452,18 +429,18 @@ " ymax=pixel_data[glo_mid_idx, pixel_row, pixel_col],\n", " color=\"g\",\n", " linestyle=\"-\",\n", - " label=\"TIV\" if i == 0 else None # Label only once\n", + " label=\"TIV\" if i == 0 else None, # Label only once\n", " )\n", "\n", "# Add vertical lines for continuous start and end indices\n", - "for start_idx, end_idx in zip(continuous_start_indices, continuous_end_indices, strict = True):\n", + "for start_idx, end_idx in zip(continuous_start_indices, continuous_end_indices, strict=True):\n", " plt.axvline(start_idx, color=\"red\", ls=\"--\", label=\"Start\" if start_idx == continuous_start_indices[0] else None)\n", " plt.axvline(end_idx, color=\"black\", ls=\"-.\", label=\"End\" if end_idx == continuous_end_indices[0] else None)\n", "\n", "plt.xlabel(\"Time\")\n", "plt.ylabel(\"Impedance (a.u.)\")\n", "plt.legend()\n", - "plt.show()\n" + "plt.show()" ] } ], From 47088d66674f4770273c8f9d0b509d89bd6f59d5 Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Mon, 2 Dec 2024 14:08:27 +0100 Subject: [PATCH 20/21] refactor code to reduce duplicity --- eitprocessing/parameters/eeli.py | 25 +++++++++---------------- 1 file changed, 9 insertions(+), 16 deletions(-) diff --git a/eitprocessing/parameters/eeli.py b/eitprocessing/parameters/eeli.py index aa9af73d6..6622760d2 100644 --- a/eitprocessing/parameters/eeli.py +++ b/eitprocessing/parameters/eeli.py @@ -71,31 +71,24 @@ def compute_parameter( breaths = breath_detection.find_breaths(continuous_data) if not len(breaths): - return SparseData( - label=result_label, - name="End-expiratory lung impedance (EELI)", - unit=None, - category="impedance", - time=np.array([], dtype=float), - description="End-expiratory lung impedance (EELI) determined on continuous data", - parameters=self.breath_detection_kwargs, - derived_from=[continuous_data], - values=np.array([], dtype=float), - ) - - _, _, end_expiratory_times = zip(*breaths.values, strict=True) - end_expiratory_indices = np.flatnonzero(np.isin(continuous_data.time, end_expiratory_times)) + time = np.array([], dtype=float) + values = np.array([], dtype=float) + else: + _, _, end_expiratory_times = zip(*breaths.values, strict=True) + end_expiratory_indices = np.flatnonzero(np.isin(continuous_data.time, end_expiratory_times)) + time = [breath.end_time for breath in breaths.values if breath is not None] + values = continuous_data.values[end_expiratory_indices] eeli_container = SparseData( label=result_label, name="End-expiratory lung impedance (EELI)", unit=None, category="impedance", - time=[breath.end_time for breath in breaths.values if breath is not None], + time=time, description="End-expiratory lung impedance (EELI) determined on continuous data", parameters=self.breath_detection_kwargs, derived_from=[continuous_data], - values=continuous_data.values[end_expiratory_indices], + values=values, ) if store: sequence.sparse_data.add(eeli_container) From d25fc26ff887b082b1ab2bdd0711b2aff37b870e Mon Sep 17 00:00:00 2001 From: JulietteFrancovich Date: Mon, 2 Dec 2024 14:14:30 +0100 Subject: [PATCH 21/21] update _mock function for less verbosity --- tests/test_pixel_breath.py | 26 +------------------------- 1 file changed, 1 insertion(+), 25 deletions(-) diff --git a/tests/test_pixel_breath.py b/tests/test_pixel_breath.py index 872aacf8e..dd1d8f139 100644 --- a/tests/test_pixel_breath.py +++ b/tests/test_pixel_breath.py @@ -168,30 +168,6 @@ def none_sequence(): def mock_compute_pixel_parameter(mean: int): def _mock(*_args, **_kwargs) -> np.ndarray: - if mean > 0: - return SparseData( - label="mock_sparse_data", - name="Tidal impedance variation", - unit=None, - category="impedance difference", - time=np.linspace(0, 100, 100), - description="Mock tidal impedance variation", - parameters={}, - derived_from=[], - values=np.full(100, 1), - ) - if mean < 0: - return SparseData( - label="mock_sparse_data", - name="Tidal impedance variation", - unit=None, - category="impedance difference", - time=np.linspace(0, 100, 100), - description="Mock tidal impedance variation", - parameters={}, - derived_from=[], - values=np.full(100, -1), - ) return SparseData( label="mock_sparse_data", name="Tidal impedance variation", @@ -201,7 +177,7 @@ def _mock(*_args, **_kwargs) -> np.ndarray: description="Mock tidal impedance variation", parameters={}, derived_from=[], - values=np.full(100, 0), + values=np.full(100, np.sign(mean)), ) return _mock