diff --git a/.codecov.yml b/.codecov.yml
index 419985e6..03240796 100644
--- a/.codecov.yml
+++ b/.codecov.yml
@@ -1,6 +1,9 @@
 coverage:
   status:
     patch: false
+  range: 50..70
+  round: nearest
+  precision: 2
 
 ignore:
   - tests/*
diff --git a/docs/source/tutorials/.ipynb_checkpoints/03_psfsub-checkpoint.ipynb b/docs/source/tutorials/.ipynb_checkpoints/03_psfsub-checkpoint.ipynb
deleted file mode 100644
index 23a180d8..00000000
--- a/docs/source/tutorials/.ipynb_checkpoints/03_psfsub-checkpoint.ipynb
+++ /dev/null
@@ -1,3013 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 3. PSF modeling and subtraction"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "> Authors: *Carlos Alberto Gomez Gonzalez* and *Valentin Christiaens*  \n",
-    "> Suitable for VIP *v1.0.0* onwards  \n",
-    "> Last update: *2022/03/16*"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Table of contents**\n",
-    "\n",
-    "* [3.1. Loading ADI data](#3.1.-Loading-ADI-data)\n",
-    "* [3.2. median-ADI](#3.2.-median-ADI)\n",
-    "    - [3.2.1. Full-frame median-ADI](#3.2.1.-Full-frame-median-ADI)\n",
-    "    - [3.2.2. Smart median-ADI](#3.2.2.-Smart-median-ADI)\n",
-    "* [3.3. Pairwise frame difference](#3.3.-Pairwise-frame-difference)\n",
-    "* [3.4. Least-squares approximation - LOCI](#3.4.-Least-squares-approximation---LOCI)\n",
-    "* [3.5. PCA](#3.5.-PCA)\n",
-    "    - [3.5.1. Full-frame PCA](#3.5.1.-Full-frame-PCA)\n",
-    "    - [3.5.2. Optimizing the number of PCs for full-frame PCA-ADI](#3.5.2.-Optimizing-the-number-of-PCs-for-full-frame-PCA-ADI)\n",
-    "    - [3.5.3. Full-frame  PCA-ADI with a parallactic angle threshold](#3.5.3.-Full-frame-PCA-ADI-with-a-parallactic-angle-threshold)\n",
-    "    - [3.5.4. PCA for big datacubes](#3.5.4.-PCA-for-big-datacubes)\n",
-    "    - [3.5.5. Annular PCA](#3.5.5.-Annular-PCA)\n",
-    "    - [3.5.6. PCA in a single annulus](#3.5.6.-PCA-in-a-single-annulus)\n",
-    "* [3.6. NMF](#3.6.-NMF)\n",
-    "    - [3.6.1. Full-frame NMF](#3.6.1.-Full-frame-NMF)\n",
-    "    - [3.6.2. Annular NMF](#3.6.2.-Annular-NMF)\n",
-    "* [3.7. LLSG](#3.7.-LLSG)\n",
-    "* [3.8. ANDROMEDA](#3.8.-ANDROMEDA)\n",
-    "* [3.9. PACO](#3.9.-PACO)\n",
-    "* [3.10. Summary mosaic](#3.10.-Summary-mosaic)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This tutorial shows:\n",
-    "\n",
-    "- how to load ADI-ready datacubes; \n",
-    "- how to use the stellar PSF subtraction algorithms implemented in VIP to produce final post-processed images (more details and higher completeness than the quick-start tutorial)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "-----------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's first import a couple of external packages needed in this tutorial:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "from hciplot import plot_frames, plot_cubes\n",
-    "from matplotlib.pyplot import *\n",
-    "from matplotlib import pyplot as plt\n",
-    "import numpy as np\n",
-    "from packaging import version"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the following box we import all the VIP routines that will be used in this tutorial.\n",
-    "The path to some routines has changed between versions 1.0.3 and 1.1.0, which saw a major revamp of the modular architecture, hence the `if` statements."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "VIP version:  1.1.1\n"
-     ]
-    }
-   ],
-   "source": [
-    "import vip_hci as vip\n",
-    "vvip = vip.__version__\n",
-    "print(\"VIP version: \", vvip)\n",
-    "if version.parse(vvip) < version.parse(\"1.0.0\"):\n",
-    "    msg = \"Please upgrade your version of VIP\"\n",
-    "    msg+= \"It should be 1.0.0 or above to run this notebook.\"\n",
-    "    raise ValueError(msg)\n",
-    "elif version.parse(vvip) <= version.parse(\"1.0.3\"):\n",
-    "    from vip_hci.andromeda import andromeda\n",
-    "    from vip_hci.conf import VLT_NACO\n",
-    "    from vip_hci.frdiff import frame_diff\n",
-    "    from vip_hci.leastsq import xloci\n",
-    "    from vip_hci.llsg import llsg\n",
-    "    from vip_hci.medsub import median_sub\n",
-    "    from vip_hci.metrics import normalize_psf\n",
-    "    from vip_hci.metrics import compute_stim_map as stim_map\n",
-    "    from vip_hci.metrics import compute_inverse_stim_map as inverse_stim_map\n",
-    "    from vip_hci.nmf import nmf, nmf_annular\n",
-    "    from vip_hci.pca import pca, pca_annular, pca_annulus, pca_grid\n",
-    "else:\n",
-    "    from vip_hci.config import VLT_NACO\n",
-    "    from vip_hci.fm import normalize_psf\n",
-    "    from vip_hci.invprob import andromeda\n",
-    "    from vip_hci.metrics import inverse_stim_map, stim_map\n",
-    "    from vip_hci.psfsub import (frame_diff, llsg, median_sub, nmf, nmf_annular,\n",
-    "                                pca, pca_annular, pca_annulus, pca_grid, xloci)\n",
-    "    \n",
-    "# common to all versions:\n",
-    "from vip_hci.fits import open_fits, write_fits, info_fits\n",
-    "from vip_hci.metrics import significance, snr, snrmap\n",
-    "from vip_hci.var import fit_2dgaussian, frame_center"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.1. Loading ADI data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the 'dataset' folder of the `VIP_extras` repository you can find a toy ADI (Angular Differential Imaging) cube and a NACO point spread function (PSF) to demonstrate the capabilities of ``VIP``. This is an L'-band VLT/NACO coronagraphic (VORTEX AGPM) dataset of beta Pictoris published in [Absil et al. (2013)](https://ui.adsabs.harvard.edu/abs/2013A%26A...559L..12A/abstract). The sequence has been heavily sub-sampled temporarily to make it smaller. The frames were also cropped to the central 101x101 area. In case you want to plug-in your cube just change the path of the following cells.\n",
-    "\n",
-    "More info on this dataset, and on opening and visualizing fits files with VIP in general, is available in Tutorial `1. Quick start`.\n",
-    "\n",
-    "Let's load the datacube, associated parallactic angles and non-coronagraphic PSF:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fits HDU-0 data successfully loaded. Data shape: (61, 101, 101)\n",
-      "Fits HDU-0 data successfully loaded. Data shape: (61,)\n",
-      "Fits HDU-0 data successfully loaded. Data shape: (39, 39)\n"
-     ]
-    }
-   ],
-   "source": [
-    "cubename = '../datasets/naco_betapic_cube_cen.fits'\n",
-    "angname = '../datasets/naco_betapic_pa.fits'\n",
-    "psfnaco = '../datasets/naco_betapic_psf.fits'\n",
-    "\n",
-    "cube = open_fits(cubename)\n",
-    "pa = open_fits(angname)\n",
-    "psf = open_fits(psfnaco)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 1.1:** When observing a celestial object with a given telecope, what 3 parameters do the values of parallactic angle depend on? </font>\n",
-    "\n",
-    "**Note**: throughout this notebook, questions will be raised in <font color=orange>orange</font>. Corresponding answers will be provided in <font color=green>green</font> at the end of the respective (sub)sections."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "derot_off = 104.84 # NACO derotator offset for this observation (Absil et al. 2013)\n",
-    "TN = -0.45         # Position angle of true north for NACO at the epoch of observation (Absil et al. 2013)\n",
-    "\n",
-    "angs = pa+derot_off+TN"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's measure the FWHM by fitting a 2D Gaussian to the core of the unsaturated non-coronagraphic PSF:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1800x600 with 6 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "FWHM_y = 4.733218722257407\n",
-      "FWHM_x = 4.473682405059958 \n",
-      "\n",
-      "centroid y = 19.006680059041216\n",
-      "centroid x = 18.999424475165455\n",
-      "centroid y subim = 4.006680059041214\n",
-      "centroid x subim = 3.9994244751654535 \n",
-      "\n",
-      "amplitude = 0.10413004853269707\n",
-      "theta = -34.08563676836685\n"
-     ]
-    }
-   ],
-   "source": [
-    "%matplotlib inline\n",
-    "DF_fit = fit_2dgaussian(psf, crop=True, cropsize=9, debug=True, full_output=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4.603450563658683\n"
-     ]
-    }
-   ],
-   "source": [
-    "fwhm_naco = np.mean([DF_fit['fwhm_x'],DF_fit['fwhm_y']])\n",
-    "print(fwhm_naco)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 3.2:** The FWHM measured above can slightly vary depending on observing conditions and quality of the adaptive optics (AO) correction. In excellent conditions, the PSF gets narrower and can approach the theoretical diffraction limit. What is that angular resolution (in arcsec and in pixels) at L' band, for a 8.1m diameter telescope such as the VLT?</font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's normalize the flux to one in a 1xFWHM aperture and crop the PSF array:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Flux in 1xFWHM aperture: 1.228\n"
-     ]
-    }
-   ],
-   "source": [
-    "psfn = normalize_psf(psf, fwhm_naco, size=19, imlib='ndimage-fourier')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `normalize_psf` function performs internally a fine centering of the PSF (note the input PSF should already be centered within a few pixel accuracy for this fine centering to work). The `imlib` argument sets the library to be used for sub-px shifts (more details in `Tutorial 7`).\n",
-    "\n",
-    "Let's visualize the normalized PSF with `hciplot.plot_frames`. Feel free to adapt the `backend` argument throughout the notebook: `'matplotlib'` (default) allows paper-quality figures with annotations which can be saved (default), while `'bokeh'` enables interactive visualization."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 400x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(psfn, grid=True, size_factor=4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's finally define the pixel scale for NACO (L' band), which we get from a dictionary stored in the `conf` subpackage:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.02719 arcsec/px\n"
-     ]
-    }
-   ],
-   "source": [
-    "pxscale_naco = VLT_NACO['plsc']\n",
-    "print(pxscale_naco, \"arcsec/px\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 3.3:** When building an instrument, one wants to make sure that even in the best observing conditions the PSF is always sampled at least at the Nyquist frequency - what would then be the coarsest pixel scale that would still allow a Nyquist sampling of the PSF at L' at the VLT? </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.1**: The parallactic angle depends on the celestial coordinates of the target, the latitude of the observatory and the observation time (commonly expressed in local hour angle for the target).</font> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.2**: The theoretical diffraction limit is $\\sim \\lambda/D$, or $\\sim$ 0.10 arcsec after conversion from radian to arcsec. This is $\\sim$3.9 pixels at the NACO pixel scale. </font> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.3**: A maximum pixel scale of 0.05 arcsec/px is required to ensure Nyquist sampling at L' band even in the best observing conditions.</font> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.2. median-ADI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the framework of differential imaging techniques, we ultimately rely on modelling and subtracting the stellar PSF and associated speckle noise pattern. Algorithms of different complexities and performances have been proposed since 2006. Several of those algorithms are implemented in ``VIP`` and showcased in the next subsections."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "When loading the ADI cube above, we assumed all calibration and preprocessing steps were already performed. In particular, the star is assumed to be already centered in the images. If your data require calibration/preprocessing, feel free to check tutorial `2. Pre-processing` for example uses of VIP preprocessing routines on NACO and SPHERE/IFS data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**IMPORTANT** - VIP's convention regarding centering is:\n",
-    "- for **odd** number of pixels along the x and y directions: the star is placed on the central pixel;\n",
-    "- for **even** number of pixels: the star is placed on coordinates (dim/2,dim/2) in 0-based indexing."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "All ADI-based algorithms involve image rotation. We therefore first set the preferred method to be used for image rotation. This is controlled with the `imlib` and `interpolation` optional arguments (see tutorial `7. FFT- vs. interpolation-based image operations` for more details). Feel free to adapt the following box to test other methods (keeping in mind that FFT-based rotation is only available in versions >= 1.0.0)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "imlib_rot = 'vip-fft'\n",
-    "interpolation=None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.2.1. Full-frame median-ADI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The most simple approach is to model the PSF with the median of the ADI sequence. The median subtraction algorithm is the original post-processing approach proposed for ADI data (see [Marois et al. 2006](https://ui.adsabs.harvard.edu/abs/2006ApJ...641..556M/abstract)):"
-   ]
-  },
-  {
-   "attachments": {
-    "median-ADI.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![median-ADI.png](attachment:median-ADI.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Figure 3.1** - Median-ADI concept. A sequence of images $A_i$ is obtained in pupil-tracking mode. Any putative planet would rotate throughout the images, along with the field of view, while the stellar halo and speckle pattern remains quasi-static. The median $B_i$ of the sequence does not compare and is subtracted to $A_i$ to create a residual cube $C_i$. The residual cube is derotated ($D_i$) to align the field-of-view. The derotated residual cube is then stacked (typically with a median) to create a finale image $E$."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange>**Question 3.4**: In practice, what are the main limitations of median-ADI? </font>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:38:42\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Median psf reference subtracted\n",
-      "Done derotating and combining\n",
-      "Running time:  0:00:01.219554\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_adi = median_sub(cube, angs, mode='fullfr', imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.2.2. Smart median-ADI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A \"smart median-ADI\" can be performed in concentric annuli and using a parallactic angle threshold. For each image of the input cube the subtracted model consists of the median of the `nframes` closest images in time that have rotated by at least `delta_rot`x FWHM (linear motion) - i.e. it is a different model PSF for each image. This model is constructed in concentric annuli of width `asize`x FWHM, starting at `radius_int` pixels radius (i.e. the inner `radius_int` pixels are masked).\n",
-    "\n",
-    "<font color=orange> **Question 3.5**: What are the pros and cons of using a parallactic angle threshold? </font>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:38:44\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 10, FWHM = 4\n",
-      "Processing annuli:\n",
-      "0% [##############################] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:00\n",
-      "Optimized median psf reference subtracted\n",
-      "Done derotating and combining\n",
-      "Running time:  0:00:01.401258\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_adi_an = median_sub(cube, angs, fwhm_naco, asize=fwhm_naco, mode='annular', delta_rot=0.5, \n",
-    "                       radius_int=4, nframes=4, imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note that the parallactic angle threshold corresponding to 0.5 FWHM linear motion could not be met for the innermost annulus, and was therefore automatically relaxed to find `nframes` eligible frames to be used for the model.\n",
-    "\n",
-    "Let's vizualize the final images:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((fr_adi, fr_adi_an))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Strong residuals can be seen near the center of the image, with a faint potential point source in the north-east of the final image:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.4** Quasi-static speckles (i.e. not exactly static) are one of the main limitations. These stem from slowly varying aberrations in the instrument and optics while tracking the object during the observation (due e.g. to different mechanical flexures, imperfections in the mirrors, non-common path aberrations in the instrument). If observing conditions are not stable (e.g. sudden bursts in seeing), the adaptive optics performance may also fluctuate during the observing sequence, which can also lead to a decorrelation of the speckle pattern. The latter should be mitigated with bad frame removal (done in preprocessing)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.5** A non-zero parallactic angle threshold helps minimizing self-subtraction of putative planets, by only bulding a model for subtraction using images where a putative planet has sufficiently rotated. On the other hand, a large parallactic angle threshold can force the use of images taken far away in time from the one considered for modeling. The decorrelation of quasi-static speckle can then lead to a poor PSF model for subraction. While a value of `delta_rot=1` will lead to low self-subtraction and is a good default value for observations obtained in *good* and *stable* conditions with *sufficient field rotation*, keep in mind that the optimal value of `delta_rot` for a specific dataset and given planet radial separation may be different than 1."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.3. Pairwise frame difference"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Another simple approach is to perform pairwise frame subtraction, taking into account both a rotation and distance (similarity) threshold.\n",
-    "For this example, we select the L1-distance metric, with a distance threshold set to the 90th percentile of all distances, a 0.5xFWHM linear rotation threshold, an innermost radius starting at 2 px, and an annular size set to `fwhm_naco` pixels."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:38:45\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "10 annuli. Performing pair-wise subtraction:\n",
-      "Ann 1    PA thresh: 20.70    Ann center:   6    N segments: 1 Ann 2    PA thresh: 12.05    Ann center:  11    N segments: 1 Ann 4    PA thresh:  6.55    Ann center:  20    N segments: 1 Ann 3    PA thresh:  8.49    Ann center:  16    N segments: 1 \n",
-      "\n",
-      "\n",
-      "\n",
-      "Ann 5    PA thresh:  5.33    Ann center:  25    N segments: 1 \n",
-      "Ann 6    PA thresh:  4.50    Ann center:  29    N segments: 1 \n",
-      "Ann 7    PA thresh:  3.89    Ann center:  34    N segments: 1 \n",
-      "Ann 8    PA thresh:  3.42    Ann center:  39    N segments: 1 \n",
-      "Ann 9    PA thresh:  3.06    Ann center:  43    N segments: 1 Ann 10    PA thresh:  2.82    Ann center:  47    N segments: 1 \n",
-      "\n",
-      "Done processing annuli\n",
-      "Running time:  0:00:05.557353\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_fdiff = frame_diff(cube, angs, fwhm_naco, metric='l1', dist_threshold=90, delta_rot=0.5, \n",
-    "                      radius_int=4, asize=fwhm_naco, nproc=None, imlib=imlib_rot, \n",
-    "                      interpolation=interpolation, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "Let's vizualize the final image:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_fdiff, vmin=-5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As for the median-ADI results, there seems to be a faint point-like source towards the north-east, although strong residuals dominate the center of the image."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.4. Least-squares approximation - LOCI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A continuation of the idea of imposing a rotation/PA threshold was proposed by [Lafreniere et al. (2007)](https://ui.adsabs.harvard.edu/abs/2007ApJ...660..770L/abstract), but this time working in annular patches and using a more sophisticated model PSF. In this case the model PSF is built as a Locally Optimized linear Combination of Images (after discarding the ones that have not rotated enough). The coefficients of the linear combination are found to minimize local residuals in each annular subsection (i.e. locally optimized)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:38:51\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Building 10 annuli:\n",
-      "Ann 1    PA thresh: 11.42    Ann center:   2    N segments: 2 \n",
-      "Ann 2    PA thresh:  3.82    Ann center:   7    N segments: 3 \n",
-      "Ann 3    PA thresh:  2.29    Ann center:  12    N segments: 5 \n",
-      "Ann 4    PA thresh:  1.64    Ann center:  16    N segments: 7 \n",
-      "Ann 5    PA thresh:  1.27    Ann center:  21    N segments: 9 \n",
-      "Ann 6    PA thresh:  1.04    Ann center:  25    N segments: 11 \n",
-      "Ann 7    PA thresh:  0.88    Ann center:  30    N segments: 12 \n",
-      "Ann 8    PA thresh:  0.76    Ann center:  35    N segments: 14 \n",
-      "Ann 9    PA thresh:  0.67    Ann center:  39    N segments: 16 \n",
-      "Ann 10    PA thresh:  0.62    Ann center:  43    N segments: 18 \n",
-      "Patch-wise least-square combination and subtraction: with 5 processes\n",
-      "Done processing annuli\n",
-      "Running time:  0:00:13.151827\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_lstsq = xloci(cube, angs, fwhm=fwhm_naco, asize=fwhm_naco, n_segments='auto', nproc=None, \n",
-    "                 metric='correlation', dist_threshold=90, delta_rot=0.1, optim_scale_fact=2,\n",
-    "                 solver='lstsq', tol=0.01, imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "Let's vizualize the final image:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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zl5vZp6fH3GZmt+xlvQEAAPYj55fD+v4sCou2HPbDkn5A0vdK+iNJT5H0RkknJP3M9JgXSfqh6TF3SHqFpLeb2RNLKQ3KhV2msn7efMxFlpMGiJyhLi2Ga2HtfgYTwJb61/JoCVLq65ZpdZadbigEd20wsgvGe5mRY4PeqqZTSXUeLo3Xj3iNkBTPMWiyGoK7+nNMz9nn469PRdcyydhtt/QV39aZgaevb7iI9XIyQv/x90dD/b02LL0PZ6j/LIGLA15vlVz3EMi4IVufJtDwLAoszioO9MSiDYL+oqRfLaX81+n2x83sOyR9hTSZBZL0fEn/pJTyq9N93yPpXknfLOktu11hAACA/crEMbrn2GEL5Bi9OHNWE94p6Zlm9nhJMrMvlfRVkn59+v3jJN0g6bbzCUopJyS9S9LTL5SpmR0wsyvPfyQdnVP9AQAAYBtm9jNm9nEzK2b2pG37P25mf2xmfzD9PLvvshdtJuinJF0p6SNmNpK0LOlHSylvnn5/w/Tfe126e7d9l/FiST/ZZ0UBAAD2OyMtadTzfMgM+f0nST8t6XeS755dSvmDS63ThVi0QdDflvRdkr5TE03QkyS91szuLqW86RLyfZWkV2/bPirprkvIr52WWcM+ZhZbggs6mnRDIVGyq6IbagkeWtMIZeW0BFT02pYWjVMtQGfmYRRo8E5p8mDyeouKb9AkUXdz5YzLo+GpEIJkZvoeV47XUrXIS1q0LjMFE3WFe/+h7Br6or3v1Mh5Tkltvjqz1N/j+09JyvHBXH39U22eq1vQKzXousI9lvhQhfr2oQFsCMxcfZ4NgDkuh61NV1a2s15KCarDUsr/lqRt7zjtGou2HPbPJf1UKeUtpZQPlFJ+QdJrNJnJkaR7pv9e79Jdv+27QCllvZRy8vxH0qm+Kw4AADAgXqDJS0vbPy/eMUXOvzezD5jZG8zskX1WUFq8QdBhxd9SI33uPO7QZLDzzPNfTkeiT5N0+25UEAAAYFEYyybxw3r9mDSZoDjmPq+6yOo9o5TyJZK+XNL9ki5lxSdl0ZbDfk3Sj5rZnZosh32ZpBdK+neSVEopZvZaST9mZh/T516Rv1vS2/aiwgAAAANkY7qyMjOllDun/25O/7Z/tI+KbWfRBkH/UJNBzb+WdJ0mg5ufk/Tybcf8tKQjkl4v6SpNhFbP2pceQQAAAHvIuJhG+/AVeTM7Imm1lHJ8uus7JL3vkjN2LNQgqJRyShMfoOfvcEyR9BPTD5xnBiPEzIysZp6WiRF9cE0v0GwRaacCTI8XU3pzvkwo6QW+XtSZtEEQkM5i/hgiU8Y0LSaGIbCsF1g3CD9DuzQIsFsecVtHukeV9W5lMkGwr38Q7yb9wPenIGpuMAEM1zAR7y65ugQxeNaPXTnL2U+xSmNm/XZpq1vh0Wo3k0zwG/pPQ18PwvsZApu2mInWTEpbTD+DiD4rx+/ow4i2L/aoLvvBJ8jMfk7S12vyFvfbzeyUpL8q6a1mtqxJa/yZpO/ptaJasEEQAAAAXF6UUp57ga++bN5lMwgCAAAYKOOypHHPsb76zm+eLE5NAQAAAHqEmaDLldr6cqYVaQl06IOHNmgEQj4NZol+vT8YLDZohFpM6IJWx2uEMsNIr1fwbdCgpQoBIzPdh2vrFuPGlsCmTfoqhzc6HCWamZDmXLfCLeeztNndOV6pa118UNWWAL0hj4opoFS/zql+zF3X0YF4TLVd0uu+s0gru8ah3/o+mRh2Lrn7Y9Sg7ylOo+WNEFu0hi2mhv56BMPIVEvV3W7pG7HgZN8cDG13i5FMo54L7zu/ecJMEAAAAAwSZoIAAAAGyn54O2wvYRAEAAAwUIYujGYQdLlS0QClgQMbtDo1L46WoKuZJqBG0w+LiidO5kfktROhbi0eMzP86KlpICaV6W6mNjS1ALBZwE7v7dSirxp3G2J5o1vhzFfHt8vWoe4O73UzKcd5C3mfnY3sgnQ3x6v1C1LTdS1lnky+nbw+Zga90mSnq0sIrhsTjdZcOzUE5A391vevzBspyadDQ98Pfj4zaNIyal5PuZbKHTJLQNX9NMmxn3yOFhQGQQAAAAOlyM7H+uo1z0VhceasAAAAAHqEmSAAAICBMppD7LC+85snDIIAAAAGCsJo2P/MIn7zIucWE0Av4kxEtSEfbyDXkMYrfJuCMLaU49ulwUCulkcaZ9YLYr1JW1aOz9ebTmbC4obrXgvMmprz+SClTgScB5rtZrxx1ImcN+NF9O2wUjFPTPHi6oOxEWri3czQrxZ4NhMJB8NOL7JNym4RLIdyZnhxIBhEJvWvBTJtCWQcRNwtz5HKs0hKTFgb/obWgje3vBQQ3h9ZnL/dExZnwmXfwiAIAABgoAzdJ2jRxr0AAAAAvcBMEAAAwEAZS72/It+ysrpfYBC028yi75lDcL5Md9BiFBaqP4NZYtXkLDkmBEfM9DEtRme+HG8u2BCEsaadaGnboBVJ9DE+n5Zgj14zs3K2rtWp6byk2C6rp7v5bh6ud9Lxav0Ced1QLVDo5JjudtD3uICeUqz/yBssJuWEdmm4l4OZZYshYYMOKvRBb4aa6aAqwY6b7ilfTmZAWrmnsr+QLSafgYoBbKo1rJiUpkFwG/SIaHMWFwZBAAAAA2XomiAGQQAAAANlrDm8Ir9AcuPFqSkAAABAjzATtNvMY5awJchnS3BUp51o8dkIWqNZdDmZ7qaiNWrxUgkamgZPkxaCJ4vXpCT6Ht+2ITBoFrDT59ugV1g9U78A/tqH697QJt5/KAtsGq6h99VJtEde/xI0GxsxzfLmzvqk7Hx8AFKvncqCsI4q91Sqj/F+REnfqAWwTft65TnSomWr6X0yll39R4neytfXH5OeTy34cUMbhH6d/HWraY1S3V2Dz1HtubifKXNYDisLtBzGTBAAAAAMEmaCAAAABsp4DlHk+85vnjAIAgAAGChDfzuM5TAAAAAYJMwE7TWzmCf6JJmocAah3pIT584iEszqUgtamJVTyzcTk7aYMNYYHexur52MmXjRbFVwqiSopM8zMyh0+Y6yIKu+nZxweGkUKzM6sLNwOO1Pbt/qw90dWRovcg4C5QZDQi+ETq+7E822BEOVO2b9mBdKxyTeyNGLq7PgqH6fjRPzyi0nBm8wr/R4cXsmII8FuzSJ+DjUxX3fYhwYjE7TAL0ui5Y03mCx0g+yfPw5p0GW/csfl5lZIjNBAAAAAAOEmSAAAICBwkwQAAAAwABhJmiv8QPmTI9RMQVLA166detaQNLsmKb1fr+mnukvKtqcrC5+bd6fY4tZYljLz865YnS4dagevNIbBXqtiJQYBzYEZfRtuXIuOaZyB5elWJfxcnffstMNtZlX7mxqKNWD3qbn7LY3r/C6m8wZ1J2PM08slkUG7W4GE8PMTNS1mzcBzNpgZb0uTPM6IW9IuJn0wWpA5Ibr0WIC2HSMT1LRBGVU2z+77BXjwzQgbOW52KKH6yt4835h6DNBDIIAAAAGytB9glgOAwAAgEHCTBAAAMBAGXrsMAZB+42GvtMU+NDn44MLZjqihoCQVV1HZZ0+KyfTGYTAkxU9wyRjt9miVwqGPW67QSexecTpVhKPFh9wNAuk6QleNZlOxXulVDRbUtTVtPgr+XJatBS1vlILZilJq6edH1GSZst5O20d6VZuuUGX4697S/BNv531r1EQ8CVFO23R2qmLD4K77Ppcdn9X/Ycarocn9Rby+TY802ratjSPmtYwCzhc6cdZnr5vt+QbgususGbocodBEAAAwEBBGA0AAACDZOiDIITRAAAAMEiYCQIAABgo49L/zE0SIm/fwiBoAQgC0wZhcVWwnAUkbNGPVnpMKgCsiY+TNMsumGtN6J3mW6uH8kCZnSyT8/UCWF/X7Hp4o8PwzGkIJurN+aS6SV5mKhlEtF5cnV0PZwjpg8i2GMj589l0YnEpF53WCOaVZ7sFbx2JlfPGmV48nV13326hHRNhdGiXrG+4PrjlAty2GBT6+vrrJUkjd828eHo5My115xRNM2Oa6osbM7zI0WKO6uuSBkMNibqbqdC7YlYrNdRvcVaHBgeDIAAAgIFSivX+SvsivSKPJggAAAAGCTNBAAAAA2XoYTMYBC0gLYEoq2vsDUENs35c0wSka+M1TVOmh6nl26JBaThnr6UI+pjkfKqmf5khntMnhOCimWFk0HnEY5Y2vZbF6T5adCquvpmexGuAWqgF7W0JtttiqOjNBbOAwp6gdfHakMTM0tffG2CmmrSGezW0kzf5TLKtaad8sNes7Kw/xUQ755ERTBn9PdUSmLnh/giGke6apVoqH0DV3/9Z32nQJ/k+5/tPS5/cK3hFHgAAAGCAMBMEAAAwUBBGAwAAAAwQZoIWkJr/itQQcDTT4TR41/j1/Fk8sVqCFgadhFtjbwlw6XUTWTuF9f0Gz5xZ/IiqOsEGjVPmE+TbZWnkAo4m2havFxm5AKTrx+JvI++j49vSBzqVpLLkyql4zkzK6W5vHXJpMk3N8s7HeK2IlOhuvGdOksbXP/Tj5CelD6brNSiTnW7T1SXVw1SCt2Zt658Jvn+l3kjuevh8gy4qKacatFQK/b9Fa+iDBfvr0xLctcVzLeh7GnzZWry39gtEkQcAAIBBUjSH5bAFejuM5TAAAAAYJMwEAQAADBRekQcAAAAYIMwE7TXeHC4R0AVvu4rZnRSFnkHQ3GI2GA+pi6cbjA+DEVqDsNsLP1fOxdptHewWXg3kmOQbjBAzcWXlp0MmFg1BGN0554Fa3fkkZo9eLO3bbXkrvYrdNKe736aGlzUTw6QY3w7LLojsxtHYWUZrrm5B+B3L8X3BByBtue5eANwiQldDMFFf31H2xPWmf86scuOK2E7Vfttgyuj7XHiZIqH2wkJ2jN/OTBpD8OYZhMRB7N7w8kQQYCftFtopeyaEgmoHJMfsEaW0Bc++2DwXBWaCAAAAYJAwEwQAADBQiB0GAAAAg2TojtEMgnabimlhunTcYHRYLdZrhDLzMV9OgylYTR8jJfqehmCCQTfkztkHCp0ctHOaVCfh74Ae2jqjplfI9BjmjQ8rQTOzfMepIaELuuq0R5mWwrNytrvt9VhS1ACtrHthUczX943No3Vd1Hil2wlbzO183bxhZPoMrxj6ZfhruPpwPU00oozHbF7hymkIPFurbxbQttbnMn3MeAaRRVU32GCw2KIjqv1tbvnb3XTd/XOyxah1ccYNlxUMggAAAAYKr8gDAAAADBBmggAAAAbK0F+RZxC028yyjl3x3cjW/32+Yb0/k9Q0eHXUglVm+JnRWvBKKdGlNAQ6DJqNEBQzntB4vPO0beYXE4J8Oj1JplsJwSv9dtKOa6e7OzeOxJNef0S3/stnnQblTMzX66m8nifzcfHtsH5VN83K2aRtXZ876/xuMh2U9w4KPjQNs+zeZyfTKy05/6Sy6YK9Jte95s/ldUVSbOvMB8y3Xahv5h3WoA+LibqbtUCnUtTM+X7rg5ZKyTk2eJTVyNotPK78cyQpp6ZPzDROLc+eFs1loNYOu+QtNHRhNMthAAAAMEgYBAEAAAyU8zNBfX8uBjP7GTP7uJkVM3vStv23mNk7zeyjZvYeM/vCvs+fQRAAAADsJf9J0ldJ+oTb/3OSXl9Kebykfybp5/suGE0QAADAQClzeEV+OhO0ZmZXuq/WSynr8fjyvyXJ7HP1MLPrJD1F0l+d7nqrpNeZ2c2llD/pq64MglrZrQB4mWDZm/450V1qjOYFfxXzwSyfTIzohYQtYsQg0va6z4Zgri2BWn05wZwvu4bepM2Jgjd9ME5J5hTkQeCbCVndvrWT3cY++GCMRLl5pHt7jq+O+QbR6ZIzPlyNlRmtObFuQzDUg8edceO4myi7hiPXdmXZdvxeSswrfUBYf00zXLYHTsUb5My13QvvBcyZiD6YGJ5xbZI0gheH+7aX4v3shfct5pXLrvtkguXQT1vMRCvlpsFEKwLslmdpeJGjHgc4ZtkQEHYW89f0/vZt19C2VWPWXdIWz/HtsBdIepH76mWSXtqYzU2SPl1K2ZrkWYqZ3SnpsZIYBAEAAMC+5TWSXun2hVmgvYZBEAAAwECZzAT1vRwmSdoopZy8hGw+KelRZrZSStmyyVrZYyXd2UMVPwvCaAAAANhXlFLuk/T7kr57uutvSbqrTz2QxExQOy0D5RmCbzatQftsZzDv8loXZUFM/bp8cow3r6uZGmbMEqQwmI9l5mmuLlsNF6BWf2+8J0kr57r7Ri4Aqf8+w5/f6EBsbB/Y9PB9UYBx9ppuOm+0t3UotsHmYW+O6DROUZ6kc06/c/B493sfKFSSzj2ie5Jeo7F2si4OWb+q+63XFUnS6qluPv58zl4TbxCvuxkdcAckk/Ze2+LbMWs3r9laPZ1ojVz1fJ9sMSS1cd0kM2iwfNDV5HJ4zY83kcyuYLg/vAYt0RH5tttymiB/vaSoGwqBc1ue2TX9kupmtVlZLYawu2YnWNy//ut9YJZoZj8n6esl3SDp7WZ2qpRys6TnSvp5M3uJpJOSntNrRcUgCAAAAPaQUspzL7D/jyU9fZ5lMwgCAAAYKEVNE/gXneeiwCAIAABgoOyH5bC9BGE0AAAADBJmgvqkh+jIafRhr2esiYYlWSX6djZQ92K+LN+qGDETDVbEx2n9vcGiF4tm7VQzLEvSLJ9zVWv4WeCFn97AzxvvSdKZ6/1F625e+fFYzuqprkozE66ODiy57e7361fHuqyc7m5vuujuBx7KxODdbX89lhPx7pF7uju3nDB3KRFTe/Hu6FD3mJUziSGhq8u5Y17JGut29nonZndC4tBnJY39JfQRyZPI816YvpQI7f195++prJ28iaTvc6vr8YKEftnwIkSI1O7bILnu/jrXnl9SvDf9ixwthpFLW93aeuPQNB//nGl4YSR7jvj+4vPJ7t2ZjBpnwdy/noGvhzETBAAAAIOEmSAAAICBUjQHTdDuGQBcMgs3E2RmjzGzXzSzB8zsrJl9wMyesu17M7OXm9mnp9/fZma37GWdAQAA9iPnY4f1/VkUFmomyMyulvQOSf9L0l+X9BlJt0h6aNthL5L0Q5K+V9Idkl6hifnSE0spTtkwZzJDv8qaeghImmXbcEzNYC0NluilFJnBlw/E6te+k3y9PimsuzcEQ/XbWeDGEAe0oZzqOnxmIOeCa24d7GZy6rEx0zM3dSt8+K5u5c5cF9OsHukKsA4+EE/6gA+86sQJBx+KJ+01G96AMGuTDacb8mZ868diOd4M8fBnup1n/arYwVYf3tlob9mbfirqlTaONpjzOfO9zSPd7QMPKbDiAqZ6zcmmN1xU7CtZH/Smiz4w6zgxiKzpSdavjBfRGwE2BSn1eXi9UoO5YNAeteh7/DXLynHdJ5qA1tM0mbD65s+eixUD21RH5J+3Xns0y0BitwJ9X0Ys1CBI0g9L+mQpZbtr5B3n/zONLfJ8Sf+klPKr033fI+leSd8s6S1ZpmZ2QNL2R9jRXmsNAACwD+EV+cXib0h6r5n9spndZ2bvM7Pv3/b94zSx3b7t/I5SyglJ79LOrpMvlnRi2+eu3msOAAAA+4pFGwR9gaQfkPQxSX9N0r+R9DNm9r3T72+Y/nuvS3fvtu8yXiXp2LbPjX1VGAAAYN9SbD6fBWHRlsOWJL23lPKS6fb7zOyLJD1P0ptmzbSUsq5tIRMnq2o90BIo1F+BTFPj13ndMS0BFlsIa9LZOnzFZ6PFA6Rlrbt6DyV5+MCZXuuSeoB4nxDn9ZIFblw/5jJyeWxemRn6dOuy4Y7ZuComOXRvtzEzbciK8ygKbZApFF2QVR+AdPNoLMdrKcrZ7vbaqaQcl83mFd3zOXRfjDi6fmX3AlxxlwuGel2s27E7nJ+SE52MvPZFkpyeZ+2+bjlH7omdvzifHR+0VBYfpyEwa4NO0AfBXTmbBF2tPDdCsFRJy06f1PLcCPehf0b4NlD0I/L3e6Yj8vqkYPmVaRgr/j2Z9igEgPbPhOz55fVXDc91f45ZmvBcbPBTqrI4Y499w6LNBH1a0ofcvg9Leuz0//dM/73eHXP9tu8AAABAvB22aIOgd0h6gtv3eEmfmP7/Dk0GO888/6WZXSnpaZJu340KAgAALAxlTp8FYdGWw14j6Z1m9hJJ/1HSV0j6e9OPSinFzF4r6cfM7GP63Cvyd0t6215UGAAAAPYnCzUIKqW8x8y+RRMh809oMsh5finlzdsO+2lJRyS9XtJVkn5H0rN23SMIAABgnzP0V+QXahAkSaWU/yLpv+zwfdFkgPQTu1apiyAI/FpEzr4/eZOtbFHTT0f6PDITwCwoqU/m6+u1oZkpWMVQsSXoaktARXM3njeqK4lYNIgrg+NiLMeLj71J25V/EtOcfrQTOR9whnjJ+WwdclW5JhFGO9PCVRdg1Ad7leI5Hnqoe9E21uMF8aaF3hzx4IMhSTBH9G29tBE7y9iVc9+TEhWtw7a6qlof0NabKUqSXLusJuJjz/LZbn3Ha912ytrai9mzIKveINIHAj13TbweK6crJozZPdVghhoTuWK8+Hg1MXKsvCzhzSAlacudQAhAmgmjK+LwJmFx7f6fkZb6e8K4AePDXWHhBkEAAADQE/PQ8KAJAgAAgP3O0JfDFu3tMAAAAIBeYCZojmSD4aWK8VaudXFp/HpzSxBDH9AvMyxr0Agse7Oxhh5U1QBlPnsVKYg3fpMSM0G3mZnOea2Lr1uqk3LZHHqwe9Ao0UkUZ3w4coZ4IZilorFbxsHjTvfkivbGe5N8nR7J1XfzSEzjdSveOPDEzZmRY7dDPfyobhscuTd2uMP3dtvy5NO6jVBORlGN1wBdcU83j+VEq3Pqpm7H9X30wEPRJXO84nVdbju5F0IgzaRfL412NvkM+p8E/0wIgVuV3N8NRqfhueG0eZuHkyQ+pq8rN+uToe1aJhKCo6IrNzkfb17pzVBTfWJLYNOaBjM5H3/O4TmfGSxWnqVNmlLPwJfDmAkCAACAQcJMEAAAwGAx9f/aGZogAAAAgH0NM0GtzODZkK0d1wISpkX7Yypr4dk+r0UIHhtq06DM4n9RC0A4S6DA0VKidXHn6DVCPtjo5Jid6zJKfF2CjsBFPjxwIgqJ1k51G8EHYV09HRvy7LXdYw49EPMNASxdNg/fGC+0b6eNK7yBTEiih29ynjinXZ4HY5ozj+ym8eV6Lc9kX/cEDnz0UDjG4/VUG0ec9uhk7NjLzjvorPNgWtqM5a6c2dlIa/NQvU+2eHp5H6rM52jjCldf1yezflvzAcvS+OeGv1+yAMPheeS9hRq0h/5ZlD1n/Pm0PItaAptW0yT1r+l50nIqAWDTKYqaPmmWCZiBa4IYBAEAAAyVgQ+CWA4DAACAQcJMEAAAwFAp1rYueLF5LgjMBAEAAMAgYSaolb4GtrWAfS1CaS/mzYrxIruG4HwtAuVwjA+o2hCEtSXYY818LBMnjnygRmeO2GLsGKqRlLNx1AuhXcDLR8SC1k52G2Zl3TdcLOfAye4xa4nAd3SgW8GTN3VVwtk5n72221D+R9ujf+uhmOYxV7g8uhkfOB471ANf3M149VR3ezkJ1Lr2cPeYaz/QVaWevCme0OHPdNvJGwWefWR0ovRmm+Vst9yzSdDS8fXdfatOHL6VmUye6paTBgL1Jp/OPNGLoKUonvYGnV7MKyWiZi8+zu7d2vNohufV8kY8xtfN99vlpN2CwWgQmCdpvEFhw/PKi4/HmYnhReYhqc2sskYPwuhSJp8+6Tu/ecIgCAAAYKggjAYAAAAYHswEAQAADJY5CKMXyDGaQdA8adDd1IKjZscEXcEM+p5MMxCCh2a6AtdjQnDBpO+P/Np9gz5p9YzTPLhAp9lavtcI+ECNLWZqvv19uVnZ5x7hAml6jYcSLUKLyaQrx5syStLWoZ0NCbPArN4Ab+MR3e2TTzgW0lxx55nO9uF3/1ln++Gv+nMhzdUf6TbmZldWpLOPjOdz3Tsf6GyPruhGvFw9FR39PvOk7jHe9C8zAd1ygT+9fiTrXytnu9sbR7vb2d+Rsa9LolPxGiZ/H2b5+n7ZYsrodVDhnkruw5qGpiXIZ0uQUm98GExLGwIM++uemTL6utWCmErJ4ykLsloxhM2MKmvXOdUReRZnrLFvYRAEAAAwUKw0DrguMs9FAU0QAAAADBJmggAAAIbKwN8OYxA0TxqC5vntdO24slac6n+8vsetn2dr+f6YVE/i177dMaOG4IhVDyNFXY2vr9datJSTnY8PpBm+34h3s6+L1x5lWqqzLpior5v3k5GkjWPdfE9+foxSGvQurm5rJ2K+PljryOmKTjwudqgz13YFPdeu3NTZPnhfjKR54vOOdLZP39ity2P/RyLWeeB4Z/MTz765s12W4/ls3tS9iIc+0m2no3dFAZbvx/c7T6O1k4n+yjX/6sOuLklQ3yP3dC90pjFbP+b6hqtb1p88Xle0lQRzHa+4e8rrE7MgpV5305Vf5QFUPQ1aF18Xf9+16OyCris5n0xbtFM9Jju7m5nGrEVPebGk+lCfb4O+sqobwjEaAAAAYHgwEwQAADBUBr4cxkwQAAAADBJmggAAAIbKwGeCGARdAlVzq6QjBGGxDwyazM2FAH4NgkYf2DQYcyWiu5agd76+XhjZEqS0RTPnjc9W1p3R24EsqKQrp6EuQVxZEUpnaaKxY0wTrrsT0W4dTs7HnfPayZivF8BudbXIqemfF2lf9addteW5q2Ln8MZzx2851Nm+4u5ELer78mO6boMbL4wndOYXv6CzffVHug13/5fGdnrU9cc72yc+dENn+9B9sW4bx7oX8aqPdvM9/JmY5qHHd1W161e7ALEPhyQ6e0234TKhfQz82d2xmfQNH7R33YnoW8S7npYXIbzgNxU5+5cYvMFqZuToniPByDENPOu2/TENz9LwHGx4BmYmjB7/7Emf0V5w3fDCSGi7HgKoDn0QxHIYAAAADBJmggAAAIYKr8gDAAAADA9mgi6BmgYo1fdUAmema98VI65Mh1MtJwugOsPg3a+Pt5iNhYCwMwRDzda+Q3BHV7dM7+OP8e2W6Xu8Bsifj9cmTQrqbq67GKXeyE5qC4a6cmZn3ZAPWirFwJ8P3dLtQGsn44L+9b/1mc52+eTdne3j3/QlIc2m0yeNN7ud41Mfvzak+bwHuxfx/i/pnvTWNVHs8ul7ru5sP+HXH+zWdS3eIL6fHrmz2zlO/TnXSIrt4gOqZveUD1q6eSS5zu6UNq7oHpMZEvq+4M+nxUzU138r+2tQCd7sTRondXN6Hm/CmtTNn0+L0Wl4xnkt0iw/8RueK+kxleetN5mUYn8Jz6LkuRgzaTimlgWxwwAAAACGBzNBAAAAQ4W3w2bDzJ7WZ0UAAAAAdpNLmQm63cz+RNIvSHpzKeXPeqrT4jJDoMAQQDULvFfRGrUE68t8geqJ6of49f2lTA9TOccmHZFbH19u0BEFnUSmnXLleA1QttbvfVtmCXjp0xz+TDyh9au6J5B5I5Ulp1M57rbPxDSHt5ymyRWd6Rf++Ae6+p3Hv7Hb2AcfivV/eKNb/+I0QdfeeDwWpK5Y6sZ/8e7O9um/8eSQ4lEv7D56PvOox3W2l9fjRVw5263vuesOd+uaaC3WHh7veMzqmVjOmUd2O10WCLS4Tug1QluJjqicDbt2rJuUaIC6Vk/5vesI925yPr4/mTMgK1vJ+bjnU00jlKUJ3kjJcyUEjW15Fvk8ZgiMnenFatrIBXrBaqG5FE3Qd0v6mKQfl/QxM3uHmT3PzB7RT9UAAABgnpwXRvf9WRRmHgSVUv5DKeXrJT1a0j/SZOz7ryXdbWZvM7NvNbOGdxQAAAAAdp9LfjuslHJ/KeV1pZS/KOkWSa+U9Ocl/ZKke8zs9Wb2VZdaDgAAAPTMebPEvj8LQt+vyJ+VdEbSOU1mhoqkb5L022b2HjN7Ys/lAQAAwKyUOX0WhEt+Rd7Mjkr6VknfJemrNQnd+euSXi7p16bb3yLpX0p6o6ThvFWWdQQvmHNaypbgfLMYZDUNzH3dGsy6QgDVpP7BPNAHjW0wKAtBZFsMIhvO2efjAzemBKF3t3KZGdzqaSdYdsaNm4fj7xHfLpkxne9j3lTy4PEo1j17jQ+g2q3M0nq88I98X3d7/P4Pd7YPne6KkSVJz3XK2/u77onXvCwqsM/e0K3/6W/sCqEfenzsYJ/6/Zs722t/qXt+V38kttsBJ+Q+5wKdBnNOSatnuts+wG2Gv2aZaN7fQ8HkMynH3w8+35VzMc3ImxhWDP6k+ssFaTnuHmoqt2KoGoKLKgn47J8rybPIi6eDuDopJxioJs+eUBWXJtXIVALNNpkl9hFAdeDMPAgys2/SZODzDZIOSnqPpOdLeksp5QF3+H8ys6sl3TpreQAAANAzA/cJupSZoP8s6ZOSXiPp35dS/rhy/PslvfkSygMAAADojUsZBH1tKeW3Wg8upbxb0rurBwIAAMCuYJpD7LB+s5srMw+CLmYABJ/Dd7ZZRPTZurWnpi0qmaamEtBPStapWwwVffDDhjS+bJ8k01YEnVDDenlcu/cXKKbxugJ/flkA1S1ndOiDsK5sJdoKl2brUDwBrz9afdjlcTamOfRA96TPXdPN5OB9MWLn/U/qmgk++tM3dbY/85duCGk+8LR/09n+6ObpzvazNl4Y0iy5+j7mt7t13Twa2+nKj3U7y+H7umlOfEHUWx11zfLwY5yxY/bKyP3dTd931g/EG8YHxj2QBKf1Gpplp7PJnhGbLsiqv3czU8ZgdNigswsGhI4s8K+/z/z5ZToi/0zzQVdtXG83/8xLNTWV52363JwhsGl4viY6qGoA7obnbzB/3CEA9wK9sLWrEDsMAABgqOwDTZCZfVzSuiZvmEvSq0opv9RvpXIYBAEAAAyVfTAImvLsUsof9FuROgyCAAAAoG/WzOxKt2+9lBLX2/cQBkGXwgweDdV12Vk8gBL9Qgx06IpJ1vpD3Vq8LXzA0czPw69b+2MafIL8Gnt2zmE9vOKlIiXBHZ2WIg1E6TUbm92DNrvyGUnS2sMujQ+Cm1yPsC+pi9cAee3BmUfGhjr8me5BXgdx5V0PhjQn/+bBbr5/78bO9srDsXI/fO+TOtt/dOJRne0D90XRw8HPdLc/9dXd7as+EpLoyD3dCztyHj+H7o8d2Wtqttw1W3GeQFLUzKwf21mXI0mHHuy29fqxeD28Psz3jRb9ntehLY3iOYd7ZuyNdWI5Hh90NdM4bTot23Lmb+Wr4v163PfF6hqnFo81fz/7Z0bW1qFdGp6LmQaohtdFtQRzDbqi7FlaLnDstu97F0ZP8nuBpBe5r14m6aUXSPbvzcw0eYHqR0opn7nAcb3St2M0AAAAwGskHXOfV13g2GeUUr5E0pdr8grCm3alhmImCAAAYLgU9f/q2GQmaKOUcrLp8FLunP67aWavlfTRfit0YRgEAQAADJU9Fkab2RFJq6WU49Nd3yHpfRdO0S8MggAAAGCvuF7SW81sWRNV059J+p7dKpxB0KXQg8i5Zpgl1Q2ymoR6DcwijgsBCTOVWSU44jgTdo92PmYpMST0Iu0WYbEXXC67wKbB6FHRpO3Aqa4KcmkrFuTbZfNI95ilRGC6caWrW/JOxerDO1+0LPhmLajnnd/WFT1L0tUf7qY5/WhnVBdjoep37v2CzvbIXcTPf9tDIU1Z6R5z7mu62ye3rghpRge7j7Fr33+2s330T2LDnbuhG8x19WEXQPVwvIbevHLk+tvK2djWZ67r1j8zszMnYvZGh5ko2Auhw32XvaDg8mkSEnvBsusrWaDZ2osPafBj/4zz2ab3rjvEi5yTNMHY1HWNJiPEFiVt7WUQKZojekF83YeymmdLojkKo5sopfyZpC/rtwbtIIwGAACAQcJMEAAAwFDZP2aJewKDIAAAgIGy18thew2DoFZa1lora7xSPfhptl4e1r4bdES19eWsk7asqddI17Er9c3aZOQ0JkEzkOgZQmDTigHbJI0XLPnvE32PD+7qDlneSPQ9R7qlj0Pwx5jGm+itJbqhs9d4zUn3GK9fkuI5nXtkd/vwPUmwSqel8KaG1787vgm79dtXdbZXH+oKrsZ/+OGQ5hMvfXpne/n3u99n13DjaHf7+M1dY8dHviPWbeV0t4MdcIFAN47GDuY1QL6PZpqtEBg0MVTcdH3Da4Sy4KG+j61f5fJIbkT/bAlmg8m96++pUbdp82dERQ+TBRj2z4SWoMtBW9hgqOrL9uVk2p3w/MqMEP3z1Zfj+k5G0Dlmnb1maEuQ1IuGQRAAAMBQGfhyGMJoAAAAGCTMBAEAAAyVgc8EMQhqpWWtteJbIcU19BBcNFtvrmiNsqqFgKmJFqFWTjpPGIKS7uxxIiX6JO/5kwU2de0wS9DV5YY0XjPTIujzOoKNo17TEdP4gJZ+/X/jaKyc96rJfGj8Pq9BWTkbO9S5q7v1XT3VzePcNYmOyNXX61Ye/CInzFEMUnr43m7DHbjuySFNLSJkqq2oXLP7n35d2OeD4K6d7DZcFhjUXw+vL8n6TtDMZFo2H5DXHZN5PY1Xd/aQ8oFOpdgvvaYp619lyZv8uLo1BGJu8dWpPROy81np2kE1PVeC5rJBUxMkjdk19GV5bWHma1bTMM3wNwcuHgZBAAAAA2Xob4ehCQIAAIBBwiAIAAAABgnLYQAAAEMFYTTMjQbxrj+mxWwwbGdiakcQ8yWd1BuwjZMT8PlsuaCSJelRIciq11pmgRx9u3ixaIPQ0LdLFgw1GCw64W0a+NDl64NIZmaJXrC85gKf+naUpK1ujE+tH4sTt16YPvKCzCSYqy975ES2B07EDrV5yKv+u5vH7nCRZyWdflRXeXv85u5F3Lg6ns/qSWfkeH23Lo/6nUwc3j3GX7PjN8cLH9rtUH1S3Ofr78MQsFd1009J2nJtW30pQFFE68vJ6uLz9f3U9wMpuR+8wWJy79YCGWcBk2uGhJmwOARmbjB7Daar/nmV3e8NL7wE08WKUFqKovIgKG8IcAuXDoMgAACAgTJ0YTSDIAAAgCGzQIOWvkEYDQAAAIOEmaBdpmYclhqueXPEhlF7zXgrMxLzxoFZXcO6u9fhZKaMO8coTVly5m+1gLCStLxZ0TgkabyOyGscguGikoCvTluRta3Ha4AyHdGaj/uZXPf1R3Tz8e12NjE+9O3gzRI3jzQ4xrlDTjzORdaU9PCN3YNGB1xg0KSdvNbrqg9181hPTCUP3t8VV5x4XFcg4/Uyk33dfA4e717UpY1YzubhnXtupuHwGpTVxJCwpunzxpSStO6Crvq+vuoDAyd1abk/akGJM53dipOH+TSp1sXfU/6YrG6uXYp7KPiAt1LyTPPao6RP+jRZkOuaBijVEe2Xv74DF0YzEwQAAACDZL+MRQEAAGCXGbowmpkgAAAAGCTMBO02MwQX9OvUfh2+RYvgyfw9vG9FJlUI3igtgVl92a7Xpfokr+NoCNzo/XqCDirzcfE+KA3eQlUPkDSQ5s56klB3JXqMTH9x2pXjtVPJHb5y2mmArvDanZjmwEPOQ8rlu351rP8Vd3XTrJ5xmq1Es3HqJl8Xp3U5HXvl/V/c1SN5D6DD98Y0D9/YbagDJ10Q3Cz4cSUQcOoF4/Qx2XWu+dvYuK7rslL/6R2OcQWlOfii3Tn7wK1S4pnjvXkuVMHtxzQEgPb+Sr4uLc+m4FmW+Zz5fLITqAgds+dtOMeKD1VWdlMA7poIc+CaIAZBAAAAA4XlMAAAAIABstCDIDP7ETMrZvbabfsOmtmtZvaAmT1sZm81s+v3sJoAAAD7kzKnz4KwsIMgM3uqpOdK+kP31WskfaOkb5P01ZIeLelXdrd2AAAAsN9ZSE2QmV0h6c2Svl/Sj23bf0zS35X0naWU/znd9xxJHzazryyl/O5e1Hc7UfS48/fpPh9gsUUM12BY2GLKGOpSEeql+TS4JfpyVnwAxcw8rRLcMWunmugxO58QvNXVJRP8etGjF3VmQUtj+8eTXj7XPWj9qp3NE7O6HDi+cx6StOH2Hbm7W98r74wq1JUz3YJOP7rbMJn5oBe3rjhzwY3ELNHX3+PbWpKO3O3O+cruhV45F/P012PlTHd744pE9OzEyFlNvRi35T4MIn8f1PdQksYF060FNpaieDc8v9IHSbJvh3KlaEAaBMvJSwH+nH07Zgak42UXrLbhfg/PzhZDWy9yTrJNjWVrBEH8zt83MXBh9KLOBN0q6b+WUm5z+58saVXSZ/eXUj4i6U5JT79QZmZ2wMyuPP+RdHQOdQYAANhXnBdG9/1ZFBZuJsjMvl3Sl0t6avL1DZI2SinH3f57p99diBdL+sleKggAAAALwULNBJnZTZL+laTvKqWcqx1/EbxK0rFtnxt7zBsAAGB/MnBh9KLNBD1Z0nWSft8+txi9LOkZZvYPJP01SWtmdpWbDbpe0j0XyrSUsi7ps2oEqxjbXQq1acIWkzY/dE29u/xat1vbz9blQ7mZCaNfh/f5Nhgf+nV5r2uRFHqmX+9P28kbUbq6jTJ9jxtKj1wc0MwMzlMzdszy9ZoTbwooRWM9HzBSitdx7aTToDQYaW5esXNdJxm5TR9Uci3REa12L5rX82QalLVTO98gaw8nOo+VnYPRrpyI+awf66bx2qPspvLH+HK9SWNWlyw4rb/2K85UMrunbOz6j2v/1MSwck9l+HyCNqfhj10wS0zuw2Am2BDwOQRmdWl8kOK0bl6Tmdwv/nZuekY3BFDN+v9OecB8WLRB0G9K+mK3742SPiLpn0n6pKRNSc+U9FZJMrMnSHqspNt3r5oAAAALwMCF0Qs1CCqlnJL0we37zOy0pAdKKR+cbr9B0qvN7EFJJyX9rKTb98ObYQAAALB/WKhBUCMv0GQG862SDkh6u6S/v6c1AgAA2I/M420uZoJ2j1LKX3bb5yT94PSz76j5BGUEDw2/jt0gb/fr8i16gOzGCN47DT4Vvn5eO5F5gHgNQNAiNQQ6XPF6n8S/pxaoMWtbfw29riir28pZd4w/56QfeD1Jlu+W89pZ2nSaoOR6HHC6IXvYeRYdj5U5e+3Fv0Nx+oZu4/q29O0mScuu/t6Taf3KulDioKv/5qFYd6+l8vqrrK0PHvf6HndAcr8EL6TkOvuAti2BP4Pfjbu/Uw1N5rWznaT+/p4Jz6KkWwS/Lu+DlOhufJoQrDYL+Oz0SlWNTZZvQwBS/4zLgqGGdDMMAnoJhjoLA18OW6i3wwAAAAD6YuFnggAAAGA2iCIPAAAAMECYCQIAABgqA9cEMQjaZarThInwLYiRZxBBhmMaRHdNoseKyZkUxZSh2AYjsSXXbtk5B3NE1wZNhmW+DWKSIFj25+dN9Cb7utvBrLIlKGN2PdZdXVy+vq9I0UTOi6tDgFhFE0Nvznf6SFSLxmCVLo/ElHHVCch9XTOB7KoTFp++vnvQUnI+pWIcmKU554LI+v6UtZsXFo9Xk6CxPtCnFwmnQuKdxdRe6C3V65u9OFATOWf9yz97wvMqaadavtmzyN/fnr6ExeFZmtQ/PDcanqVVMfVumiUu0KClb1gOAwAAgEHCTBAAAMBAMfU/6bRIET+YCQIAAIBBwkxQK2mU0soxswyHs3Iq+WbGbrU19Ra9T2Y+FowPfTlJmkw30E2U7HPl+CClIeClpC2nxfHGh8tJ0Fgf1NMHr/TaEUkah5P0Bn9J3Q7tbG6XXcMQ9DbTQVX6WDD0UzSZazFY9OfkNUGZ1i0EifWak6SckdPMBD1Gcg2DxsnpYVaTwKa+H6+ccVXLzsfpr7wRYgikq9jWXhclJWabDVq2EPizwWjPl9xkmOry8fed79dSvEYh2G6icQp9ocFUNpgYelPGhudiCDTdYriY1L/a/rMYz+4WAxdGMxMEAAAAg4SZIAAAgIEydLNEBkEAAABDheUwAAAAgOHBTFArLSLnWYTQFZMtqR5pvmnq0R2T5TmLUC8IrDPTPy/w9WZjmQDb19cJGr2AdpJxJU1iBrfmIqp7Az8vrs7YvMKZDSbR0YNI2NW/RfiZil0rgszV0zGNF962CLAz873tZEL19WPdynnh6vJ6TGPjnd8CyNKMnDDaGztuJJHn/XVfPeMizx+Ovw+9qeSKM3ZsEcxmJqVeUN0SRd4L+oPgN3kZwQuF/T2WmT3GFyi8YjlJ441OvVA6i8I+i5jat2XD87cqWE6mBYLxYVb/yoso2fXYN0tGzAQBAAAADA9mggAAAAYKwmgAAAAYJgNfDmMQtM/oawQdjMS83ifTGbljxpnsprJ2v5Tl600YvXFjZmrmdREN2ilft6BByQIfOmqBW6W6mV2mGRi7EwgmbZkWYXnnbSnqq3y+K+fiBdlY6Ra2+nD3+9REz7WL1+ZsHokXxBtP+rplppLBxNBpjbxBoSSNnGFf6F9Ju3l9z9KmF3HENCFI6eF4zCx4bVHLvXrgRLdd/DXzZpZSvD/8NcwC/wZtjtPVZeaVvv6+nbI0/o9mk/ljRW+VmaOGNDOYMqa6zVlMF33ZCzRwuJxgEAQAADBQhr4chjAaAAAABgkzQQAAAEMFTRD0RVjjzfQxMwRdbdGc1OriA52mQVe9DiebJ6zkm2lbvPbDB13MPEC8FqcW+LCF9JwrHkxZUMzaDe51E1IMpBnaMQuO6nVdmc6gEkzXe/VISfBW7xvUcN3Hzudo7eHYKF5j4vNdT/x7VpzHUnF1855AUtS2eD3MWuJh5NtpyQVZ3cp8qCq+TcH/SrGfZl5Vvv8H36bEYyYEmvXnk+hhfF/2bZk+V/w5Nnj+hEDMlXtZivWv3ZcZvp1Gq/GYmvdW9ozI2t8T6u/TNOiIegnADRcNgyAAAICBMnRNEIMgAACAoTLw5TCE0QAAADBImAkCAAAYKgOfCWIQ1CNhHbSnoKtBrFcTVyd1ScWuFdJAjhXTwswkbLy8c7DHlabAjfXvvTA1xHZN0kSB7MXVIyMVOVeClG4eiWlagmLWAkJmhoQ1QWxqZueotVtW9qYTxKeCXycc9nXLzieKzLvHpNfQC5Zdm2TCXF/2eLSz8DsrxwfSlWJw2iDWbQjMGkTBiQA7pGkI1OoJAuCWZ4/fzgKQ1oIFNwRqrYqTL1D2TvWQEnPU7D6sCKGbAmMPWAhtZrdIepOkayWdkPR9pZQ/2o2yWQ4DAAAYKOeF0X1/LpKfk/T6UsrjJf0zST/f82leEAZBAAAAQ6XM6SOtmdmV7hNMR8zsOklPkfSL011vlXSTmd08j9P1MAgCAACAvnmBJktb2z8vTo67SdKnSylbklRKKZLulPTY3agkmqAFpEW3Ul3/n5OOKGMWfU9tfTybbg2BMyuaASkJXumPScrxbenrspkE1vQmgEG7480UFbUIfltKjDRd/ctSYi7otS1es5XoYUYHu9tef+XN+yRp61DMp5bmwAlXuL+GyzGNr6+vaxps113D0LbJdffX0GuPsrr5YzKzx1BWw1JCzYQx0/uY03oFHUtWrte2NBi1+rr465P2Lzc/0PLoqQVzzp4rNRPGlkCtqb4nJKp8f8Gdu49JMi/c6iFPSa+R9Er3VfKk21sYBAEAAEDfbJRSTjYc90lJjzKzlVLKlpmZJrNAd863ehNYDgMAABgq89MEtRVfyn2Sfl/Sd093/S1Jd5VS/uSSzqsRZoIAAABgL3mupJ83s5dIOinpObtVMIOgBcT7hmT6mJpuKFv7Dvlm6+MVv5tUVlDRPKR1adDmhDQVXUeLf09LsNqaRsDrjLI0Xg6Q+tK41fNU+1W5g7Ngrl4ntOx9gRKtwrLTw3hfo9QvxvtBuUCmy0nb+qCrM+kmfF2Sdht5b55RN1HmlbRx1HY8ZmkzC9TqRTUxX3+OtYDDKQ2H+L6cBuT12Xo9T4vnjw+q7MvJPL4q3lSZDkcN+iRPuL9dXTJPploek52V7X3MfogdVkr5Y0lP77cWbTAIAgAAGCoDd4xGEwQAAACDhJkgAACAgbIflsP2EmaCAAAAYJAwE7QABDFig4FZKiSspGkxS2wJ7ujxxwSjuhl6YYtxoA8qmQq9K4LGFnF4DOBZL8daArU25Dv216whiKTPNwTbzIwC152oeaObSXY9Rms7B2rNBOTeNC+Q9esQNLa7nQmAl10g05a+EvtxN480+KYX0TeZDV58MNeNK9z1SO6pIFgOEYZjmiC8923Z8FJDeK4kaWaZOQgvG/i+3mAiG16eaHlhJGsnv2OBhNFD1wQxCAIAABgoLIcBAAAADBBmggAAAIYKy2GwaISpxkQrUtO2ZJqhmhFili5IahINis+3ZlAoJevwvpwkTdAauTyWs3KclsXrSVKdRMVgbSmZX60FLV1OjPZ8gFFv6CdJWvHHuLolWh1ff2/KmF13r1MJOhwfIFaSrez8JBwldQt5+GuW6W6cpmnziDM13IqJvAbIa5Gy8/FpitV1UcGsssFUsqY5k2LfqJkNSnWjwBatSwhammmcvBlq7fySclqMTv1959s/a5OgCfJt2xJElvWTywoGQQAAAAMFTRAAAADAAGEmCAAAYKiUMvn0neeCwCDociDT9zQELQzZZIEBfb61fDJvDq8javAj8vqLFj8in4/PI9OG+GCi3uOk5rckRR1R5nXjA2n6tt5aigWFY7JAmu6UvJ9P1jmCRssdkrV18KZy+ou07/jgm27b66QkaXRgZ+1R2gZe4+Q8gDINir/OK2dcPZLAs77feg1K1gbeD6olWHDq7VQh6JVafKdayvGeUl475fRkUkPw5kw3WNHqZH0yLLlUNE+Tyl18mqbrsUi+QA6WwwAAAAAGCDNBAAAAQ2Xgr8gzEwQAAACDhJkgAACAoTJu04NebJ6LAoOg/UaDWVdTGi8kbBBO1gSNUnKzVETPkqoC2aycYDxXCZIpJeJdl6830ZOi6LF2flJigFfJM6MWuFVqE676+noTvfQ6OxM5X99M2B1E55s7b0tRXByExSuJaNsHHPWiWh8xVtG00Bs7rpyLaWoP/TQYakXAnPVJX98tL/xuqEuKv+9a+lxl3r/lfvdBb9N7t/JyQda2vpxgsJjdhzMIyoP5ozdYbTDwvCxZoOWrvmE5DAAAAAYJM0EAAAADhVfkAQAAAAYIM0H7jVlMtzI9idNohICkLUFLW7QKQedRPyaUmxnTVdb3s3KCrsCbMrYEr/SalKycigFelqbWBmnwyhkMLn2a1TP1wKyZMaAn6Ih822ZmdrWAnZm5YE3Xkd0fTnfjDfzSvuK1YD4obkOaFg2db+uM0JYNGpoQPHQWfUxD8NAQkNeXk1zDlvp7wrOn5TlY0dW1GJ3OEkD1sgPHaAAAABgiLIcBAAAADBBmggAAAIbKwB2jGQRdpgT9RUunrPjsSDPqbirakKXM82eGOcqapinVK/mgkq4ultRtabSz94vXDEn1oLHp+TZ4I/lz9vmkmpSKZmOUeKUsV7QhqW+Tq9vK2Xpg06Cz8YE0GzQ2TfoYn69Lk/ke1cpJtSOubTPvp9BPnUYru3VreqRU09Sg4/KM/DEuj1Q36NvB3/8N5bYEWfbM4kfU8pwM+WY6qJre7XLXFS0wDIIAAAAGCpogAAAAgAHCTBAAAMBQ4RV5AAAAGCJDXw5jELTf2EOzriAgTcoNAsVKcNQsTRAnZkLJ2k3U0E4+Xy8mzfaFgKSJkWBZdkLohjbYOtTd9oZ+2fl4EW2LEaU/59TvsiL0XD0dk9QMFb1AW5KWN5yA/KAL7tpgsJgFP41pusd48XQmjPZlL5/rbmdBZH1f8dcnNedreNkgXPuGPyA1oXBqROnvO/9SQNJO/rr6Y1LxcUOw5oumoU1CXRpEzuH+yV4G8flk7xo0HAP7EwZBAAAAQ2Xgr8gjjAYAAIBBwkwQAADAQEETBPuLvVxLbjEF8zqOlgCEPok3XMvMBb02xxn4tazdt2gRaoEbV9aTAKRrvqHc9wdjOV5n49sxazavw8m0Lb6dvGlhptWpGQF6jY0kmRNTLLt2KUnES99ONaPNST7dba8jShvKabS84WVqyujbKTGIrNWtSSviznlpK57AeMXVP7kfYsYXWTcl94M3WMyKqRiOZn0yaNkqxpRS/gzofJ/eIN3N2vlJdd1jWs7lrvcZlxCEuJc8FwSWwwAAAGCQMBMEAAAwVBBGAwAAAAwPZoKGwgzr2pmepCZ4S3U4Ff1Cqu+p6ZNa1uUbfo3UvHhGSUGzBIT1OiGvgWjxV2rxbQpeL8k1DBoZH0DVa54SfNDYkjxJfDt4r6QW3yZ/CZc365qalr4ePH4avJ583wg6ouz6hB3xoODF06IJ8tn6gLwNnkW+D7YEtPX6niyNb7qW+8NTDUiaEOqa9EkCnUaGLoxmJggAAAAGCTNBAAAAQ2XgscMWaibIzF5sZu8xs1Nmdp+Zvc3MnuCOOWhmt5rZA2b2sJm91cyu36s6AwAA7FdMn1sS6+2z1yd1ESzUIEjSV0u6VdJXSvo6SauS/ruZHdl2zGskfaOkb5se/2hJv7LL9QQAAIB9zkIth5VSnrV928y+T9J9kp4s6X+b2TFJf1fSd5ZS/uf0mOdI+rCZfWUp5Xd3ucr7hxmExC1JggFelq3f2WJQ5vNoGa5XjBtbymkJIlsLupiKOCsCzFQY7QNcJiaHvmwf+LMleGjNPHGSyG26J0eWh69LOCYTErt9PghrEEEnbB12efhgtVJVPJ2ZJ3qhrT+fTBzeFEzUmxa6srO2zV5a6BZU3+f7QdYHg2Gnv6ca+leLqLkW/DQTevv29uL2tJxZhNAthrC1Y/bz1AivyC80x6b/Pjj998mazA7ddv6AUspHJN0p6ekXysTMDpjZlec/ko7Oqb4AAACwT1iomaDtmNmSpNdKekcp5YPT3TdI2iilHHeH3zv97kK8WNJP9l1HAACA/YyVIutZyNx3fvNkkWeCbpX0RZK+vYe8XqXJrNL5z4095AkAALC/Gc/psyAs5EyQmb1O0jdIekYp5a5tX90jac3MrnKzQddPv0sppaxL+qxywJJgkIOgYmoo1YOUtqTxpDoJrz1oWMsPGhpvBpeUU9N5NBkUNpi0hUCUTvdRCyB5IUJZtXZTbnB3sYRzTvJcOeuO8cE3Gwwitw674KIN+pjlc+6AFuNA127eFFBKTAxnMezM7o9KP82u17JrBx9gOK1KTQvW0k5e49TQTkFflT0PgsNickwlTZNBXx+P9ll0RLBvWaiZIJvwOknfIulrSyl3uEN+T9KmpGduS/MESY+VdPuuVRQAAGABOL8c1vdnUVi0maBbJX2npG+SdMrMzut8TpRSzpZSTpjZGyS92swelHRS0s9Kun3Qb4YBAABAYNEGQT8w/fe33P7nSPr56f9foMlE6VslHZD0dkl/fxfqBgAAsFgM/BX5hRoElZKGBfTHnJP0g9MPXAJNa+wN3kJVn6DEayRojxq8OqqeLDOs06f+JLUgkkndgneKD6CapXHb3ndHSrxqvG+Q83mR6gFgM63O0la3Nj7IqteoSFGnMnJBV5dG8aRDu/i+kbRTCII7g0+Nr2t2PXxdgh4rK6ehz9W8d1It2wy6rlo7pHq+WposQK/f0SKSrXh6pUGWCX4KPbBQgyAAAADokYHHDmMQBAAAMFDOx/vqO89FYaHeDgMAAADoC2aCAAAAhgrLYQCXQIPBoheutghxa4ZxLQFH/THB7E5R3OrLyQSZVRPGFjO4FsGsT5MJTF1Z4Rwzga8XRjeIbL0Q2ueRCbA9XgjtzRSlpG80BLQNZTc8f4NJZosY2Ymnlzfq5fg+Oc7aqRLYNL2GlXP05yPVxdSpCLp2f7cEJW4RRvt2aglK3IcQepECncJcYBAEAAAwUGzcOFC9yDwXBQZBAAAAQ2Xgy2EIowEAAGCQMBMEF0dlDb1Fq+PzSAOOVgzkUk2E1xH57cyQsGLk2OR82hC0tKZ5yFhqCCoZNEwNdakFMs20I0EH5Y/JtBSVKfGWQLPhGmYaLafNGR10eSb6mJpWJ2u3molhaqxZMcnM8GWn19Dn23BP1bRHmWYu3O5+R4tWp+UZcZF59AYaoIVwjDazl2pigPyp6a4/KqV8Vx95MwgCAACA/c6bSynP7ztTBkEAAAADxdR/1HdboOBhaIIAAACgb9bM7Er3SSIgNvNtZvZ+M/ufZvY1fVWSmSC4OGpr6A0BR4PeZwYfkfR3RiWYa6onqek8Mr8Y7zFT8w3K8vWajgZflzSoZ0U/kmpDZtBBeI+cUN8s6Kpv2wavJH/OPjBrdt1r3kKZD1LW3tvJfHbCNdw5i0k+rm9kequa50+LV1VN55XtCx5Zs+hjWtI0BEMN2S7ORMLiM7+3w14g6UXum5dJeqk/3Mxul3TLBXL7Mkn/t6RXllI2zewvSfrPZvbUUsonLrWqDIIAAACGyljVlxhmylN6jaRXum/Ws8NLKU9vzbqU8g4ze5+kp0hiEAQAAAD7jo1Sysk+MjKzG0spd03/f4ukJ0n6QB95MwgCAAAYKFbmIIzu3yzxlWb2ZElbkkaSfrCU8tE+MmYQBAAAAPuWUsr3zitvBkEwd4JI04ucE6GkF0Y2BSm9yHKlRKhaC+CZlF01XEzq4oW3qXFgRbwrxXYJ55PVpRaUtKH+TeaCTtQc0mTn585n5AXZDdd92akOMmF0TZzbYjbYpAluMf2rGIOmLxtUjA6z+he/r+UEvKlkg6A/3LstBqSYFu4dRXMQRveb3TxhEAQAADBUiB0GAAAAMDyYCQIAABgq83tFfiFgEATzp7Len+o8ZjBUbDHJi4l2zmMmGmaCq+aDM5blg66m2pfa9Whpa6dBaQnyOQtVfUlSdmjbLGDnDBqzqrFmUrdgupgFwfX5uPovOW1VRlNfr2iPWsxEgx4u07L5+qL3gX0MgyAAAIChModX5NEEAQAAAOxzmAkCAAAYKgN/O4xBEAAAwFBhEARwAWYxNevLCG2GNDWhahoZ3Bs3ehO6RJRaM8BLhbj+GCcsbjnfNF9X3yBGziLPzyCQDefo880M/Srt0iLADmTGhxVxe1PUci8oT56MsxhrtpQd6tJglhhEzi2C5Up7txhRhmN6OmeAvYJBEAAAwFAZ+EwQY3YAAAAYJMwEAQAADJWi/s0NF2ciiEEQ7MAuaXmaaNCg1MjM+3zgyRYDPH9MMOubIRhqi45oFt1QGpy2cs7ebFCK9W8J2Fk1F2zQHoU2aNBFeR1Xk0alIchn6Cuu3NTI0eXT0jdajByDli0eEsvxfaOhP83SB2GxsDn4BPXuOzRHWA4DAACAQcJMEAAAwFBBGA0AAAAwPJgJgsWgRYtQ8+vJ9D2VwJOpnqQS3DXzW/F6pBbtTtDQZD+ufLqGc64GUJ0hmGt2zi2ak5jI5duSpgdfoBCINvGHyvQ821nOPKW8fqzFt6lBu1Ntl6wP+sCy3qtqcX68Q5+MS5tJ1MXmuSAwEwQAAACDhJkgAACAoTJwTRCDIAAAgKEy8EEQy2EAAAAwSJgJgsuXHozd0qCTPlhlQ9DSagDSBrPELACsKqaFQfyqumlhk3FjAy35BirlzFKPlsCzvtxUBF0RoY8Sk0lvsJg683pDxYqIvoW+zDdhADATBAAAADA8mAkCAAAYKgN/RZ5BEAAAwFApRSo9R1BdoOUwBkEA25khUKvXWqSGeBUDwjRoaUtg1opRY80McnJQZVvSUoO5Y0jjznm01t3O2qRmHJgt4NcCwC6vJ+XUDBYzg8JKmqD/SeqS9oOaDmoG88c0cG6LkSbAwGAQBAAAMFQQRgMAAAAMD2aCAAAAhgrCaAD4LDMEap0pXx+wM9GTBLIgpd5TZrTzdlaXFk2T967xep/skRd8gnxdsnlo1w4tvkDhnL0+JtFF1c4582TybRAzrXyflJPl2+QLNIN2DQ0Q5MxhOWyBovGyHAYAAACDhJkgAACAoYIwGgAAAGB4MBMEAAAwVAY+E8QgCOASmcWELohhM4PFhnyrItqsLl4E7IXEPQRLlaTini5Lm91tc9sXyqf6fc1gMWs3n8YJoVvMK1vEyVVTxizfFvoQOc8irga4zGAQBAAAMFTGY0k9h80Y95zfHGEQBAAAMFQGvhyGMBoAAAAGCTNBAJfKDFqKFh1IS+DMFqPDWr5BA5QFUHUmhl4zkwYPrdWjxQjRB4hNMvWBZUMQ2ZYguL6tU/dHX7lKHvsdNEAgMRO01xUAAAAA2AuYCQIAABgq46Lew1wQOwwAAAD2O6WMVUq/b3P1nd88YRAEcKnsYTDLoAFq0dn4NC36pEqQzybdjc8jCxrr9Tw1/dKMdQnF+mCv2Q9ZNDQAlx0MggAAAIbKwJfDEEYDAADAIGEmCAAAYKgUzeEV+X6zmyfMBAEAAMAgYSYI4FLZS8FsH0Ewe6h/U2DQGQLNhjxbfmHOK18PAUjhcqCM+4/1xdthAAAAsO8pcxBG4xgNAAAAsL9hJggAAGCojMcqLcEMLwaWwwBgV+hDh9KDtmWQ5oKX+/kBDAAGQQAAAENl4JogBkEAAABDZVxmfD1yBxZoEIQwGgAAAAYJM0EAQwdtC8BwKWM1RVG+6DwXA2aCAAAAYJAwEwQAADBQyrio9KwJKmiC9h4z+0Ez+7iZnTOzd5nZV+x1nQAAAGD/cFkOgszs2ZJeLellkr5c0vslvd3MrtvTigEAAOwnyng+nx4xs683s98zs3Uze637bsnMftbM/tTM/sTM/sHF5H1ZDoIkvVDSvy2lvLGU8iFJz5N0RtLf2dtqAQAA7B/KuMzl0zMf0+Tv9z9PvvtuSU+U9HhJXyHp/zKzL2zN+LIbBJnZmqQnS7rt/L5Syni6/fQLpDlgZlee/0g6uiuVBQAAgB0ppXy0lPJ+SVvJ18/WZNJjVEp5UNIvSfqO1rwvR2H0tZKWJd3r9t8r6c9fIM2LJf3kPCsFAACw7yhF/b8iXyRpbTqpsJ31Usp6v4XpsZI+sW3745K+sjXx5TgImoVXaaIhOs9RSXeNNs7tUXUAAAD640J/zza10XvUjE1tSNILJL3IffUySS/1x5vZ7ZJuuUB2X1ZK+WSf9dvO5TgIul/SSNL1bv/1ku7JEkxHpp8dnZrZUUn64C+9Yk5VBAAA2BOOSjo5/f9D79RvXDOnck5LeqXbl84ClVJSqUojd0r6PEm3T7c/f7qvictuEFRK2TCz35P0TElvkybq8en26xqzuVvSjdP/3zX9/6l+azp4joq2nQe06/ygbecHbTs/tretNPn7JkkqE0OfB+dYdt9LXxm/LOn7zeyXJR3TRCP0Da2JL7tB0JRXS3qTmb1X0rslPV/SEUlvbEk87Rif2raeeaqUcnKnNHBxmH02VgNt2yO06/ygbecHbTs/Loe2NbNnSnqTpCsnm/atkv5+KeX/lfQLkp6qyRtkRdKrSykfaM37shwElVJ+ycweKenlkm6Q9AeSnlVK8WJpAAAA2MeUUn5Tn5vJ8t+NJP3grHlfloMgSSqlvE7ty18AAAAwMC47n6CeWddEzb4b65pDg7adD7Tr/KBt5wdtOz9o2x2wRQp0BgAAANAXzAQBAADAIGEQBAAAAIOEQRAAAAAMEgZBAAAAMEgYBF0AM/tBM/u4mZ0zs3eZ2VfsdZ0WDTN7sZm9x8xOmdl9ZvY2M3uCO+agmd1qZg+Y2cNm9lYz8yFPYAfM7EfMrJjZa7fto11nxMweY2a/OG27s2b2ATN7yrbvzcxebmafnn5/m5ldKO4RTDGzZTN7hZndMW23PzWzH7dtbn60bRtm9gwz+zUzu3t673+z+77ajmb2CDN7s5mdNLPjZvYGM7tiV09kH8AgKMHMnq2J6/TLJH25pPdLeruZXbenFVs8vlrSrZpE9P06SauS/ruZHdl2zGskfaOkb5se/2hJv7LL9VxYzOypkp4r6Q/dV7TrDJjZ1ZLeIWlT0l+X9ERJ/6ekh7Yd9iJJPyTpeZKepkmMpLeb2cHdre3C8cOSfkDSP5D0F6bbL5L0D7cdQ9u2cUSTv0sXMglsacc3S/pCTZ7N3yDpGZJeP68K71tKKXzcR9K7JL1u2/aSpE9J+pG9rtsifyQ9UhNb82dMt49J2pD0rduO+fPTY75yr+u73z+SrpD0UUl/RdJvSXot7XrJbfpTkv6/Hb43SZ+W9I+37Tsm6Zykb9/r+u/nj6T/IukNbt9bJf0ibXtJ7VokffO27Wo7ajIILZKesu2YZ0kaS3r0Xp/Tbn6YCXKY2ZqkJ0u67fy+Usp4un0pkW5hciNKnwvY92RNZoe2t/VHNIkATFvXuVXSfy2l3Ob2066z8zckvdfMfnm6hPs+M/v+bd8/TpNQPNvb9oQmP5xo2515p6RnmtnjJcnMvlTSV0n69en3tG0/tLTj0yUdL6W8d1u62zQZBD1tl+q5L7hsw2ZcAtdKWpbk44zdq8mvaZgBM1uS9FpJ7yilfHC6+wZJG6WU4+7we6ffwQUws2/XZKn2qcnXtOvsfIEmSzavlvRPNWnfnzGzjVLKm/S59sueD7TtzvyUJgEwP2JmI02esz9aSnnz9Hvath9a2vEGSfdt/7KUsmVmD2pgbc0gCHaLWyV9kSa//OASMLObJP0rSV9XSjm31/W5zFiS9N5Sykum2+8zsy/SRFvxpr2r1mXB35b0XZK+U9IfSXqSpNea2d3TASbArsNyWOR+SSNJ/k2a6yXds/vVWXzM7HWaCO++ppRy17av7pG0ZmZXuSS09c48WdJ1kn7fzLbMbEsT8fMPTf9/r2jXWfm0pA+5fR+W9Njp/8+3H8+Hi+efS/qpUspbSikfKKX8giYC/hdPv6dt+6GlHe/R5BnyWcxsRdIjNLC2ZhDkKKVsSPo9Sc88v2+6lPNMSbfvVb0Wkelrmq+T9C2SvraUcoc75Pc0eQtne1s/QZM/OLT1hflNSV+syS/p85/3avK2x/n/066z8Q5JT3D7Hi/pE9P/36HJH4ntbXulJjoK2nZnDmuiOdnOSJ/7O0Tb9kNLO94u6Soze/K2dF+rybV41y7Vc1/AcljOqyW9yczeK+ndkp6vySuJb9zLSi0gt2oy9f1Nkk6Z2fm15hOllLOllBNm9gZJr56uRZ+U9LOSbi+l/O7eVHn/U0o5JemD2/eZ2WlJD5zXW9GuM/MaSe80s5dI+o+SvkLS35t+VEo578f0Y2b2MU3+4LxC0t2S3rYXFV4gfk3Sj5rZnZosh32ZpBdK+ncSbXsxTP18bt6263Fm9iRJD5ZS7qy1Yynlw2b2G5L+rZk9T5MXKV4n6S2llLt37UT2A3v9etp+/WjiZfEJSeuajIyfttd1WrSPJq9gZp/v23bMQU0GSw9q4mXxK5Ju2Ou6L9pH216Rp10vuS2/QdIHNHml+MOSvt99b5Jersmv7XOavFXz+L2u937/SDqqycsRn5B0VtKfSvonktZo24tuy798gWfrz7e2oyZLX/9B0ilJJzQZjF6x1+e22x+bNgYAAADAoEATBAAAAIOEQRAAAAAMEgZBAAAAMEgYBAEAAMAgYRAEAAAAg4RBEAAAAAwSBkEAAAAwSBgEAQAAwCBhEAQAAACDhEEQAAAADBIGQQAAADBIGAQBAADAIGEQBAC7hpkdMrOPTD+Htu1/hJl92szeaWbLe1lHABgODIIAYNcopZyV9L2Sbpb0ym1f3SrpmKTvK6WM9qJuADA8rJSy13UAgIFhZv9U0g9L+suSrpf0y5KeX0r5V3tZLwAYFgyCAGDXMbM1Se+VdMX08yFJX1N4IAHALsIgCAD2BDN7iqT3SDon6YmllDv2uEoAMDDQBAHAXvHXpv8elHTLXlYEAIYJM0EAsOuY2ZdoMgv0ZklPknStpC8upZzYy3oBwLBgEAQAu4qZrUp6l6SrJX2JpMdpOiAqpfydvawbAAwLlsMAYLf5MU1mf/5OKeVUKeUPJb1c0nPM7P/Y05oBwKBgJggAdg0z+3JNZoH+TSnlh7btX5Z0u6THSPrCUsrxvakhAAwJBkEAAAAwSFgOAwAAgEHCIAgAAAAGCYMgAAAAGCQMggAAAGCQMAgCAACAQcIgCAAAAAYJgyAAAAAYJAyCAAAAYJAwCAIAAIBBwiAIAAAABgmDIAAAABgkDIIAAABgkPz/MQYb6LJbOCUAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_lstsq)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time the residuals are better subtracted. But the companion candidate also suffers significant self-subtraction. Note as well the comparatively longer processing time."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.5. PCA"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.5.1. Full-frame PCA"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's try the PCA-based algorithms ([Amara & Quanz 2012](https://ui.adsabs.harvard.edu/abs/2012MNRAS.427..948A/abstract), [Soummer et al. 2012](https://ui.adsabs.harvard.edu/abs/2012ApJ...755L..28S/abstract)) in `vip.pca`. As a reminder, below is a schematics summarizing how full-frame PCA-ADI works: "
-   ]
-  },
-  {
-   "attachments": {
-    "PCA-ADI.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![PCA-ADI.png](attachment:PCA-ADI.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Figure 3.2** - PCA-ADI concept. Compared to median-ADI (Fig. 3.1), only the model used for subtraction is refined. It is constructed from the projection of each image on the first $n_{\\rm pc}$ principal components. The principal components are typically found by singular value decomposition, after converting the observed sequence of images $A_i$ into a 2D matrix (rows: time dimension, columns: linearized version of the images)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's set to 5 the number of principal components `ncomp` considered for model creation, and let's run the PCA algorithm (feel free to test other values):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:04\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "System total memory = 17.180 GB\n",
-      "System available memory = 0.888 GB\n",
-      "Done vectorizing the frames. Matrix shape: (61, 10201)\n",
-      "Done SVD/PCA with numpy SVD (LAPACK)\n",
-      "Running time:  0:00:00.062402\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done de-rotating and combining\n",
-      "Running time:  0:00:01.188047\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "ncomp = 5\n",
-    "fr_pca1 = pca(cube, angs, ncomp=ncomp, mask_center_px=None, imlib=imlib_rot, interpolation=interpolation,\n",
-    "              svd_mode='lapack')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `svd_mode` argument sets how the Singular Value Decomposition should be calculated. 'lapack' is the default mode (exact SVD calculation by CPU through `numpy`), although other options may get faster results depending on input matrix and your machine (see description of `svd_mode` argument)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's visualize the final image. This time let's set the `grid` option on, to better read coordinates from the image:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_pca1, grid=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The improvement is clear compared to previous reductions. Very low residuals are seen near the star, and the companion candidate appears as a bright point source surrounded by negative side-lobes. The procedure is also 15-20x faster than LOCI."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 3.6**: What is the origin of the negative side lobes? </font>\n",
-    "    \n",
-    "<font color=orange> **Question 3.7**: Are they always expected to be symmetric? </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's see whether the candidate is significant. For that let's first set the x,y coordinates of the test point source based on the above image:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "xy_b = (35.5,58.5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's compute the signal-to-noise ratio at that location, following the definition in [Mawet et al. (2014)](https://ui.adsabs.harvard.edu/abs/2014ApJ...792...97M/abstract)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N = 8.3\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr1 = snr(fr_pca1, source_xy=xy_b, fwhm=fwhm_naco)\n",
-    "print(r\"S/N = {:.1f}\".format(snr1))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One can also calculate a S/N ratio map over the whole image (this may take a couple of seconds depending on the size of your image):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:06\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N map created using 5 processes\n",
-      "Running time:  0:00:02.790244\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "snrmap1 = snrmap(fr_pca1, fwhm_naco, plot=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Remember that S/N ratio is NOT the same as significance [Mawet et al. 2014](https://ui.adsabs.harvard.edu/abs/2014ApJ...792...97M/abstract). Let's convert the measured S/N (Students statistics) into a Gaussian \"sigma\" with equivalent false alarm probability. This first involves calculating the radial separation of the candidate:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cy, cx = frame_center(snrmap1)\n",
-    "rad = np.sqrt((cy-xy_b[1])**2+(cx-xy_b[0])**2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's use the `significance` routine in VIP to operate the conversion:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5.5 sigma detection\n"
-     ]
-    }
-   ],
-   "source": [
-    "sig1 = significance(snr1, rad, fwhm_naco, student_to_gauss=True)\n",
-    "print(r\"{:.1f} sigma detection\".format(sig1))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Congratulations! The detection is significant! You obtained a conspicuous direct image of an exoplanet! Although from this image (at a single wavelength) alone one cannot disentangle a true physically bound companion from a background star, this source has now been extensively studied: it corresponds to the giant planet Beta Pic b (e.g. [Lagrange et al. 2009](https://ui.adsabs.harvard.edu/abs/2009A%26A...493L..21L/abstract), [Absil et al. 2013](https://ui.adsabs.harvard.edu/abs/2013A%26A...559L..12A/abstract))."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.5.2. Optimizing the number of PCs for full-frame PCA-ADI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Clearly, modeling the background (leaked starlight + static and quasi-static speckles) with PCA leads to better images than subtracting a median frame. We chose 5 principal components (PCs), which greatly reduced the residual noise. A different number of PCs may lead to an even better detection."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For a given point source, the `pca` function can search for the optimal number of principal components which maximizes the S/N ratio of a given point source. When calling `pca`, this is done by setting `ncomp` to a tuple of 3 integers (initial value, last value, step) setting the range of explored npc values, and providing the `source_xy` coordinates of the point source of interest:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:08\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "System total memory = 17.180 GB\n",
-      "System available memory = 0.865 GB\n",
-      "Done SVD/PCA with numpy SVD (LAPACK)\n",
-      "Running time:  0:00:00.042829\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Number of steps 31\n",
-      "Optimal number of PCs = 13, for S/N=9.277\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Coords of chosen px (X,Y) = 35.5, 58.5\n",
-      "Flux in a centered 1xFWHM circular aperture = 114.815\n",
-      "Central pixel S/N = 11.529\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Inside a centered 1xFWHM circular aperture:\n",
-      "Mean S/N (shifting the aperture center) = 9.277\n",
-      "Max S/N (shifting the aperture center) = 11.882\n",
-      "stddev S/N (shifting the aperture center) = 2.406\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fr_pca2 = pca(cube, angs, fwhm=fwhm_naco, source_xy=xy_b, mask_center_px=None, \n",
-    "              ncomp=(1, 61, 2), imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The optimal number of principal components is found to be 13 (note this value may change slightly if using a different imlib/interpolation, but should be in that ballpark)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ncomp_opt=13"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 3.8**: Why is the shape of the S/N vs Principal components curve as seen above (i.e. increasing and then decreasing again)? </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's look at the images computed using 5 PCs and 13 PCs (optimal npc found above), and compute the S/N maps:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:44\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "S/N map created using 5 processes\n",
-      "Running time:  0:00:02.884443\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:47\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "S/N map created using 5 processes\n",
-      "Running time:  0:00:02.700163\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "snrmap1 = snrmap(fr_pca1, fwhm_naco, plot=False)\n",
-    "snrmap2 = snrmap(fr_pca2, fwhm_naco, plot=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 8 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((fr_pca1, fr_pca2, snrmap1, snrmap2), rows=2, dpi=100, colorbar=True, axis=False, \n",
-    "            versp=0.01, horsp=0.2,\n",
-    "            label=('{} PCs'.format(ncomp), '{} PCs'.format(ncomp_opt), \n",
-    "                   'S/N map with {} PCs'.format(ncomp), 'S/N map with {} PCs'.format(ncomp_opt)), \n",
-    "            label_pad=8)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "With 13 PCs we've increased the S/N of the point source (although the recovered flux is smaller). Let's compare the difference it makes on the significance:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N = 8.3 (5 PCs) VS. S/N = 11.5 (13 PCs)\n",
-      "5.5 sigma detection (5 PCs) VS. 6.4 sigma detection (13 PCs)\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr2 = snr(fr_pca2, source_xy=xy_b, fwhm=fwhm_naco)\n",
-    "sig2 = significance(snr2, rad, fwhm_naco, student_to_gauss=True)\n",
-    "\n",
-    "print(r\"S/N = {:.1f} ({} PCs) VS. S/N = {:.1f} ({} PCs)\".format(snr1, ncomp, snr2, ncomp_opt))\n",
-    "print(r\"{:.1f} sigma detection ({} PCs) VS. {:.1f} sigma detection ({} PCs)\".format(sig1, ncomp, sig2, ncomp_opt))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color='orange'> **Question 3.9**: The result above was obtained for the full-frame PCA algorithm. For a given point source (i.e. at a given radius), is the optimal npc expected to be the same for PCA applied in a single annulus (encompassing the point source) and PCA on full frame? If not, would you intuitively expect it to be lower or higher for PCA on a single annulus? </font> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The answer to Q5.6 will come in [Section 3.5.6](#3.5.6.-PCA-in-a-single-annulus). "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.6**: The negative side lobes stem from the presence of the point source in the constructed model used for subtraction. Since the field of view is rotating, the point source will span a range of position angles, and the stellar halo model built for subtraction for each frame of the cube (step B) will typically include some signal from the rotating point-source. </font>\n",
-    "    \n",
-    "<font color=green> **Answer 3.7**: The negative side lobes are not *necessarily* symmetric, as the field rotation rate (hence the rate at which the point source rotates) varies during the observation. The parallactic angle variation is the fastest when the target crosses the meridian. That being said, well-designed ADI observations typically aim for maximal field rotation, which is the case for an observation that is centered around meridian crossing, hence typically resulting in relatively symmetric negative signatures. </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.8**: The S/N first increases with $n_{\\rm pc}$ due to a better modeling of the speckle pattern by including more PCs. After reaching the optimal $n_{\\rm pc}$, the planet self-subtraction starts to dominate (i.e. a large $n_{\\rm pc}$ will systematically lead to overfitting of the stellar PSF). </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.5.3. Full-frame PCA-ADI with a parallactic angle threshold"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can partially avoid the companion self-subtraction with full-frame PCA by applying a PA threshold for a given distance from the center. This is more efficient if a lot of rotation is present in the data."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This dataset happens to have a good range of rotation (about ~80 deg), and is therefore suitable for that:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Derotation angles')"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 648x216 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "figure(figsize=(9,3))\n",
-    "plot(angs, 'o-', alpha=0.5)\n",
-    "ylabel('Derotation angles')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 3.10** For a given observatory, where are the most ideal targets (in terms of celestial coordinates) to apply the ADI strategy (i.e. the ones leading to an optimal parallactic angle variation)? </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `pca` function in ``VIP`` accepts a parameter `source_xy` for defining a location of interest for which the rotation threshold will be applied. The parameter `delta_rot` sets the minimum amount of linear motion in terms of the FWHM to include other frames when building the PCA library for each image of the sequence. In the following example we set the threshold to 1 FWHM, which will significantly reduce companion self-subtraction. We also increase the npc to 30."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:50\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "System total memory = 17.180 GB\n",
-      "System available memory = 0.868 GB\n",
-      "Size LIB: min=30.0 / 1st QU=33.0 / med=39.0 / 3rd QU=44.0 / max=52.0\n",
-      "Done de-rotating and combining\n",
-      "Running time:  0:00:02.657883\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_pca_optlib = pca(cube, angs, ncomp=30, source_xy=xy_b, delta_rot=1, fwhm=fwhm_naco,\n",
-    "                    imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_pca_optlib)#, backend='bokeh')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=orange> **Question 3.11**: As can be seen above, a PA threshold reduces the self-subtraction (notice the maximum in the scale), but also leads to a less efficient modeling and subtraction of speckle in the innermost part of the image. \n",
-    "Why is that so?</font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can have a quick report on the last two frames, obtained without and with parallactic angle threshold, and in particular inspect the effect on the flux and S/N ratio of the companion:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 11.529\n",
-      "Integrated flux in FWHM test aperture = 114.815\n",
-      "Mean of background apertures integrated fluxes = -4.424\n",
-      "Std-dev of background apertures integrated fluxes = 10.105\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "11.529242341583403"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "snr(fr_pca2, xy_b, fwhm_naco, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 7.632\n",
-      "Integrated flux in FWHM test aperture = 543.275\n",
-      "Mean of background apertures integrated fluxes = -26.145\n",
-      "Std-dev of background apertures integrated fluxes = 72.897\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "7.631736467542127"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "snr(fr_pca_optlib, xy_b, fwhm_naco, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The companion flux on ``fr_pca_optlib`` is much larger than on ``fr_pca2`` (best full-frame PCA frame without the application of a rotation threshold) because we've reduced self-subtraction (companion over subtraction). On the other hand, the S/N has decreased due to the larger residual speckle noise."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.10** Targets with a declination $\\delta$ very different to the latitude $L$ of the observatory will have a very slow parallactic angle variation rate, and are hence not ideal for ADI. On the other extreme, an object whose $\\delta$ matches almost exactly $L$ (within a few degrees) will have all the field rotation happening in a matter of minutes, around the time when the object crosses the local meridian (north-south imaginary line) - called transit. This is not ideal either. The best targets for ADI are thus the ones where $|\\delta-L|$ is neither too small ($>5$deg) nor too large ($\\lesssim 35$deg), as is the case for beta Pic as observed from the Very Large Telescope ($|\\delta-L| \\approx 27$deg) </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color=green> **Answer 3.11** Using a PA threshold implies that for a given image to be modeled, the PCA library will be built using exclusively images taken sufficiently far away in time (hence with less correlated speckle). This in turn can lead to a less efficient speckle subtraction. This effect can be particularly stronger in the innermost parts of the image, where a given threshold in terms of linear motion implies a larger delay than for the outer parts of the image. </font>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.5.4. PCA for big datacubes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Computing the PCA model can be a CPU and memory intensive procedure, when working with thousands of large frames, let's say cubes with shapes [10000, 600, 600]. Such cube won't fit on the memory of a normal laptop or desktop computer. With ``VIP`` we just need to provide a positive integer value to the ``batch`` parameter of the ``pca`` function to alleviate this issue. Let's compute the incremental PCA on our toy cube (even if its size does not require it):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:53\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "System total memory = 17.180 GB\n",
-      "System available memory = 0.858 GB\n",
-      "Cube size = 0.002 GB (61 frames)\n",
-      "Batch size = 31 frames (0.001 GB)\n",
-      "\n",
-      "Batch 1/2\tshape: (31, 101, 101)\tsize: 1.3 MB\n",
-      "Batch 2/2\tshape: (30, 101, 101)\tsize: 1.2 MB\n",
-      "Running time:  0:00:00.177417\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "\n",
-      "Reconstructing and obtaining residuals\n",
-      "Running time:  0:00:01.285216\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_increm = pca(cube, angs, ncomp=19, fwhm=fwhm_naco, batch=31, imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_increm)#, backend='bokeh')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.5.5. Annular PCA"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "PCA can also be performed on concentric annuli, and including a parallactic angle threshold when building the PCA library associated to each image. This is the same idea used before in full-frame when the position of a source of interest was defined except that the PA threshold here will be adjusted depending on the radial distance of each annulus from the star. PCA can be computed in full annuli or in separate annular segments (``n_segments``). The computational cost increases accordingly.\n",
-    "\n",
-    "The function `pca_annular` processes the cube in annular fashion in a serial or parallel way. Setting `nproc` to an integer will use that number of CPUs in multiprocessing, while setting it to `None` will automatically set it to half the number of CPUs available on the machine. The improvement in speed is noticeable in multi-core machines. \n",
-    "\n",
-    "Let's try `pca_annular` with 3 segments per annulus, 6 principal components, a 0.2 FWHM rotation threshold, and in multi-processing mode:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:39:54\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 10, FWHM = 4.603\n",
-      "PCA per annulus (or annular sectors):\n",
-      "Ann 1    PA thresh: 22.62    Ann center:   2    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.156378\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 2    PA thresh:  7.63    Ann center:   7    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.547436\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 3    PA thresh:  4.58    Ann center:  12    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:01.311463\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 4    PA thresh:  3.27    Ann center:  16    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.331973\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 5    PA thresh:  2.55    Ann center:  21    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:03.160871\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 6    PA thresh:  2.08    Ann center:  25    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:04.381085\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 7    PA thresh:  1.76    Ann center:  30    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:05.409331\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 8    PA thresh:  1.53    Ann center:  35    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:06.325641\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 9    PA thresh:  1.35    Ann center:  39    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:08.016211\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 10    PA thresh:  1.23    Ann center:  43    N segments: 3 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:09.096238\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done derotating and combining.\n",
-      "Running time:  0:00:09.617829\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_pca_an6 = pca_annular(cube, angs, fwhm=fwhm_naco, ncomp=6, asize=fwhm_naco, delta_rot=0.2, nproc=None, \n",
-    "                          n_segments=3, svd_mode='lapack', imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The parameter `ncomp` can be set to *auto* for letting the algorithm define automatically the number of PCs for each annular patch (instead of fixing it for all of them). The optimal value is found when the standard deviation of the residuals after the subtraction of the PCA approximation drops below a given (absolute) tolerance `tol` while progressively increasing the number of principal components. Note that this is different to finding the optimal $n_{\\rm pc}$ that maximizes the S/N ratio of a given companion companion (as the former does not require any companion)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:40:04\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 10, FWHM = 4.603\n",
-      "PCA per annulus (or annular sectors):\n",
-      "Ann 1    PA thresh: 22.62    Ann center:   2    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.156742\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 2    PA thresh:  7.63    Ann center:   7    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.242600\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 3    PA thresh:  4.58    Ann center:  12    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:04.607690\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 4    PA thresh:  3.27    Ann center:  16    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:06.473646\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 5    PA thresh:  2.55    Ann center:  21    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:07.836315\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 6    PA thresh:  2.08    Ann center:  25    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:08.967063\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 7    PA thresh:  1.76    Ann center:  30    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:10.439451\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 8    PA thresh:  1.53    Ann center:  35    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:11.723332\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 9    PA thresh:  1.35    Ann center:  39    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:13.599171\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 10    PA thresh:  1.23    Ann center:  43    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:14.758572\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done derotating and combining.\n",
-      "Running time:  0:00:15.132834\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_pca_auto = pca_annular(cube, angs, fwhm=fwhm_naco, ncomp='auto', svd_mode='lapack', asize=fwhm_naco, \n",
-    "                          delta_rot=0.2, tol=0.1, nproc=None, imlib=imlib_rot, interpolation=interpolation, \n",
-    "                          verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's compare both images:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((fr_pca_an6, fr_pca_auto), dpi=100, vmin=-5, colorbar=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And let's compare the S/N ratio measured in each case: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 9.333\n",
-      "Integrated flux in FWHM test aperture = 197.882\n",
-      "Mean of background apertures integrated fluxes = -6.165\n",
-      "Std-dev of background apertures integrated fluxes = 21.359\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr1 = snr(fr_pca_an6, fwhm=fwhm_naco, source_xy=xy_b, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 9.748\n",
-      "Integrated flux in FWHM test aperture = 85.703\n",
-      "Mean of background apertures integrated fluxes = -3.377\n",
-      "Std-dev of background apertures integrated fluxes = 8.928\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr2 = snr(fr_pca_auto, fwhm=fwhm_naco, source_xy=xy_b, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Despite the relatively high S/N ratio, the planet appears significantly self-subtracted. This is because `delta_rot` was set to a low value. Setting it to a value larger than 0.3 leads to a bug (feel free to test it). This is because for a given image to be modelled, not enough images are found in the rest of the datacube complying with the PA threshold condition for the innermost annuli. To solve this issue, one can increase the radius `radius_int` of the innermost annulus where annular PCA starts."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:40:19\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 9, FWHM = 4.603\n",
-      "PCA per annulus (or annular sectors):\n",
-      "Ann 1    PA thresh: 34.99    Ann center:   7    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.611394\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 2    PA thresh: 21.88    Ann center:  12    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.254381\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 3    PA thresh: 15.87    Ann center:  17    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:03.674298\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 4    PA thresh: 12.44    Ann center:  21    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:04.752332\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 5    PA thresh: 10.23    Ann center:  26    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:05.640608\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 6    PA thresh:  8.68    Ann center:  30    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:06.828253\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 7    PA thresh:  7.54    Ann center:  35    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:07.770272\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 8    PA thresh:  6.67    Ann center:  40    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:08.843147\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 9    PA thresh:  6.11    Ann center:  43    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:09.851553\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done derotating and combining.\n",
-      "Running time:  0:00:10.230591\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_pca_ann_mask = pca_annular(cube, angs, fwhm=fwhm_naco, ncomp='auto', asize=fwhm_naco, radius_int=5,\n",
-    "                              delta_rot=1, nproc=None, svd_mode='lapack', imlib=imlib_rot, \n",
-    "                              interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "When using PCA with a numerical mask covering the inner part of the image, it is recommended to explicitly set the optional argument `mask_val=0` (the value used for missing values not calculated by PCA). This will tell the image (de)rotation algorithm which pixels are part of a mask. These values will then be interpolated before rotation (using a Gaussian kernel size set by `ker`), and masked again after rotation. This will prevent a sharp transition between the mask and the signals near the mask. This sharp transition in the inner part of the image would otherwise lead to either Gibbs-related artefacts (when using the FFT-based rotation method), or ringing artefacts (when using an interpolation-based method). See the difference below. Similar tests are also shown in Tutorial `7. FFT- vs interpolation-based image operations`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:40:29\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 9, FWHM = 4.603\n",
-      "PCA per annulus (or annular sectors):\n",
-      "Ann 1    PA thresh: 34.99    Ann center:   7    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.824963\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 2    PA thresh: 21.88    Ann center:  12    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.353793\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 3    PA thresh: 15.87    Ann center:  17    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:03.627343\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 4    PA thresh: 12.44    Ann center:  21    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:04.452266\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 5    PA thresh: 10.23    Ann center:  26    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:05.391696\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 6    PA thresh:  8.68    Ann center:  30    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:06.435502\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 7    PA thresh:  7.54    Ann center:  35    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:07.504152\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 8    PA thresh:  6.67    Ann center:  40    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:08.445533\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 9    PA thresh:  6.11    Ann center:  43    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:09.421617\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done derotating and combining.\n",
-      "Running time:  0:00:09.848954\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_pca_ann_mask0 = pca_annular(cube, angs, fwhm=fwhm_naco, ncomp='auto', asize=fwhm_naco, radius_int=5,\n",
-    "                              delta_rot=1, nproc=None, svd_mode='lapack', imlib=imlib_rot, \n",
-    "                              interpolation=interpolation, mask_val=0, ker=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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83ItwSQ8J9RDNWP5qozNy2UGfhab0hYn+VkzyOc4jXruDvlfG/X6YpD8HtTnpPkccQxv1nNuoBw3gZPPUAuYdzDt8Pydu3uF/muYnEn6htTHv2G1nXsxPTwEAAAAAwLEjIgEAsHD6Oanv/6x1iDYAAAAO0sa8Y7edecGNBADAwhmoM/XTk+cpvBAAAByfNuYdu+3MC24kNEmq8r2aco6bcpfdYZ8zMMnzEw77DIdJ8qVbKjdXK53nOX3hCu1YCZ1YGqe77nUjPcEu5PT1R+f0DfwT4ccS8/QOKnMZVuhuWJ5eyIHsbNkuLF+zqTudkNfYVEZIKsdvkEbn5UlS7jTkQIZeDFaa9xm39XHvhAvDc1TrzxloKNlkuYEDLw0V143Xm1fR8vHrj14W26nlOC57fmTsnHdoZFfr2ioPO4lx2z3oMz+LZ8OYQe5oMOUDi6bdHsDJU58DMO9g3qGFmneUnRu9CO1qY96x2868mJ+eAgAAAACAY0dEAgBg4fRbCDFsI0QRAAAsvjbmHbvtzAtuJAAAFg4PWwQAALPCwxZRyqpypiZ5DkJ02Pruk+xzkuutqfbsYZ+t4O1aPlatznFo1+vt1vqQYj6b5bqFGru+j/5q2W6skVzU9FWZY1irObw6ehB8Xa8TXeb02ZIwRrU8Pd9PL/TH8uBirmDXag77+eufiTu1vvfKddVQszmeo1ptbDvOwXLVUF6287c5Ot/P+x7zUjt2EXvf4/nteB5h2NS387zLWk7rCP0L5SB0r5b9K9r1+uAx59Gvn6N6tsEkz2kZ9ztomu/ESdo67PcwgFOFeQfzDol5h6TavCNtTjO5AErcSAAALJyB0tRPPh5MdTcHAACcFm3MO3bbmRfcSAAALJx+7qg/5ZOPp90eAACcDm3MO3bbmRfcSGjbJDeRDgorPmyI7+iqOdOVgYn7aUqR8N3bsiIEzML0+hfKlbtXqh0N1rzuUdjubLnd0lUvyxQ283C/0I5/djubo0PUamFw1m5Rymgwup3OpvWnfKv+atywXLp0bXRJJA9dLEotdfykWB96oYMWRhjDCmvnxMPyYjin7bJ/vmoobVhnrcZVZzOGk5ar+pjEsla10k+hD/0zFoa63hAa6Jdew2fKw1KL8EkP5Yy7bPrc7rOfRuN+P7RVrratdAV/3/SdmOy/ALCDeQfzjuHKtirzjsZUZGBS3EgAACycrDR1eGDmLgUAABhDG/OO3XbmBTcSAAALh9QGAAAwK6Q2AACwANqo5zxPtZwBAMDxaWPesdvOvOBGQtsmeV7BJOUfD9pPk3HznCfoe2cjjVzVm6nls8WcLCvD1Llefnhivl0tr3EtJp41l/Hphz7kZU/Mq152r1pOoa0bbxJmyz/0klJFqaWOLQuljQb+KbRD6YTcPC8vFUOovOxsrbRSTFW8XuYGxjJHwx2FzZZ8DKod+XVQKynVUMqos16tXCul1LHrK6YN+nGm0Tmantfo+ZzlwtGlqTzftn/z9t7rzuNlbaXBarlyXgnvbR+xlJiXB/P8VjXkyda09WyDUdv5tgd9dzQta9p2nO+rE1QGMqX0LyR9uaSnSfqsnPN7dn7/LElvlPQESZckfVPO+Y+Pq5/APKqVPgyvmXfsNMu8g3mHJph31K4fO1CeoTAXjnPuMT+3PAAAGNMgp1Z+JvTzkj5X0kft9z8h6Q055zsl/RNJPz31AQIAgBOjrXnHPM09iEgAACycFlMbVlJKF23RZs5509fPOf93SUqpmgSklG6T9DxJX7TzqzdLel1K6Zk55z+bqoMAAOBEaDm1YS7mHtxIOIyDQnObTFIGbdwQ5ElChQ/atqGdTignY1FdRdiXh5l5GFr8jHlYXiyh423VQ+hCfyyUrXfO4rFi/2yf3RDWWAspnCAVxMPQYp9qYXrhvT9TpVsLpRxdyqgImbN9DPwkLVcb+7hr20LfNkd/EZahk+Wy7ob1L6zr58hD+Yt2bAzieUgeedcQMloriRRDDr0SlbUTwy5jKKAkpctVWGFe8X1YB3ux87bPMAaNZaBUXu9+PbVmku+Ow7Zz0D4Om3pxdL5H0svtdz8o6ZVjbv8Jku7LOfckKeecU0p3S3qqJG4kAA06PeYdzDuYd0jHNO+I11PD2OFIzMXcgxsJAICFM8gdDaZ88vHO9q+R9CpbVPsXAQAAcHq1Me/YbUdzMvfgRgIAYOEMlNSfMqRh56FiWznny1M08zFJT0wpLeWce2kYe/hUSXdP1TkAAHBitDHv2G1HczL34GGLAICFM3xgUWfKn+knBDnnByX9vqSv3/nV/yLpHp6PAADA4mhn3jFfcw8iEpokTZ6jO83zCg6bn3xEec0xN1Eqy9J45E6xpueAeWmeuJ3nPHYbljesWyut5LfIYs7c9ugB8pJIne3yfcwX81a618qd9s6OzkeMlq56bqK1uz66ZNPgXHVS0pbt5LzVINoMZY8sF9DHK+bJxf3vt26xnZ+HUEqotizwckl9K90Vz2/H+uPbFteQ5zWG8fNrr7Pp7VYH6n2Puaa1HEPre7wuvIyWQs6hH7PLZ6qLOPU86bFpwwmWTfK8gnGXHZVk/z0BUko/IelLJN0h6a0ppSs552dK+jZJP51S+j5JlyV98zF2EzixmHcw7/D977dusR3zjuOZd1Aa8sQ4zrkHNxIAAAun30KI4aTb55y/bcTv3y/pRVN1BgAAnFhtzDt225nEcc49uJEAAFg4A7XwsEWy/wAAwBjamHfstjMv5qenAAAAAADg2BGRMK6jqG0+SX6ym+RZC+Nu56t6Dli8Wiw3KtZhHqw0d6fM/2vOg4v5kf0zo+vbDpasQ15Tt9jOfhHy6VJurs0bc9Y8l3PrprLhWj5ZUx/iPlY98SzkzJ31gs6h776/a+XHO6+EbS9aB67Yumeq5b2V0fn4vs80KN/nmBDYsbENOaPZvolq114ave7gjCc6Vut2r5XJryn0x/vaP+MXdXhpeYw5Xnted9lyYWPtbD+uOH6eh+q5lLHmto97LVe3WGjv42fsJOY4Nn1HxWXZ/mv6uaP+lP8yMO32ACbDvIN5h8S8Q5rDecdJnE/MWBvzjt125sX89FRSSqmbUvrhlNKHU0rrKaUPppT+4U5Ji911Ukrph1JK9+2s87aU0rOOs98AgNnKShpM+ZNP0pMccWyYewAADtLGvGPe5h5zdSNB0t+X9B2S/o6kT955/3JJfzes83JJ3y3p2yW9QNI1DZ9gac+kBQAAOBBzDwAAzLylNvx5Sf8p5/zLO+8/klL6G5I+Rxr+i4Ckl0n6kZzzf9r53TdIekDSV0r6mYn2llWFU+0XUqt9lo3T5qjt2irj2LBdstCjoqyQR6952FKKLy3EKURyeTiWLAQr3r6K4VdSPXSqH0oZdT3MK/bHQ9286zHsy8MYQ9jXwJb1LaQvHlt/rTmOq7MVw+JGh55v31i242GN/XNVB9N22cEUxn3gZZc8zDKMUe5ZvSsPa4xhelctTC8cil8jfg3Fy8QjtZrGpGMlpbrh0GLYqSTlbsfeh9JG58oxWYrH4p+FgYcGVisMVq2DYdvOhp0Tj/YL17/3fbAc92/98TDU4oIvd9LZGP15jOMx/EXciWbvoH1OWnJyRHukNqBFs517LLgYns+8g3nHftsy71iweccpQWrDyffbkl6SUrpTklJKnynpcyX9l53lT9ewhubbdjfIOV+S9A41lL9IKa2mlC7u/ki6cET9BwDMwCCnVn4AHcHcg3kHACyWtuYd8zT3mLeIhB+TdFHSn6aU+pK6kv5BzvlNO8vv2PnvA7bdA2HZfl4h6Qfa7CgA4Pj01VF/ynvl026PhXEUcw/mHQCwQNqYd+y2My/mp6dDf13S10l6qaTPlvSNkv73lNI3Ttnuj0q6Ifw8Zcr2AADAYjiKuQfzDgDAXJu3iIR/KunHcs67+YbvTSk9TcM7+2+UdP/O72+XdF/Y7nZJ7xnVaM55U9Lm7vu9BzEnVblW4+YVT5IWNMkzESZptyGvOFuKWlzYX/Nc6rKhIlfQ8xpju5YbVd9npZYfZnmNS9eKBMlSLJOzNTpXSypLOHUtr6vIt7Mh6F63PLRBfN3c994tVWJaWrd8upDnmNbLzg7WRucu5gue7BZ3WO6jY31vLBHoJZzy6DzL7vVQOmhZJS/DFI7Fc+bS2SoZL2+UY9Bb8TpMYf+eO2llj+K14Mvi+fMUNL+G4gVWKwsVtq3lZ5qYnzhYtbEM10Utb3fQ8IXQUGZMKkudZfscF/s5KHpu3GfDTFLKdpJnw4yzbMRl3UZ44DyFF+JItT73GDnvOAWKfHLmHcw79lZm3rEo845+w+dvkbWVljBPc495i0g4q3ql0r6q4/iwhn/QX7K7cCf38AWS3j6LDgIAjt+wjFJnyp/5+WOOI8XcAwDQqJ15x3zNPeYtIuEXJf2DlNLdkv5Y0mdJ+nuS/q0k5ZxzSum1kr4/pXSXhn/cf1jSvZLechwdBgAAc425BwAAZt5uJPxdDf84/5+SbtPwj/RPSPqhsM6PSzon6Q2SbpT0PyR9cc55Y6Y9BQAcm0FO6pPagHYw9wAANGpj3rHbzryYqxsJOecrGtZqflnDOlnSP9r5mXKHqnKkxn1+wSQ10tti+/TcqSKvynKuijw9r3O85e2EurRezzm+7ZQHObCrLOY8ev6a12wu6gFbzlWRG+g5ctZuzN3yfDEV+YflIh/bXqgv3fG6wp4LGPP/rJ3OtepgauVi/fyFY0nXy0HIa7HQsY37DWUH47Zdy530PLluke9X9qe/Vr32/L7++bLz8ZrRsi2L+XZLnvxqAxbGIC97YWh7G68Zy7/1esrlMttnzGv0VM7Qn6Zaz1J5TdXGK1yLXgfaFdeBX1B+SYcc0q79b0xR67l5l6Wm77a2nnvgy8fZ54h1eEYC2jLzuceCqdW4Z97BvEPMO4bLFnPeUTxnRFLv3FH8z8/JwzMSAAAAAAAAGsxVRAIAAOMY5I4GtX92m7wNAACAg7Qx79htZ15wI6HJuOUfm8J2J9G0bUP4b1Mqg1SW0ckWulWUrLHSLl5WKMZZ+bKiVI9ttnSt7FDvbNXhzqaVCvLIqXCFdi3kcbAU+rM6unSRJPUvVqF4adtKK4Wwxs52c+jWchivjoWkbZwp49dWHq1C+vor1vfQX99nDD+UynSUgbWTN+MYWGc3y7e1ELq4zMPiYuSiXTNL18P+vXTQ5XJst2+0XJq4bgw59BBRL590tboQvExVx8IlixBW22e8bj2kz8Mjl65U7dZKlMUwRgup9fGK12L/jA90aMcvPRu6WFLKx92vxeKasRDIeL0NLCy29rer6Ttp3O/Eg9adJA3ioH4EfSX1p3zy8bTbA6dVDLln3sG8Yz/MO07PvCOmrfT9M75A2ph37LYzL7iRAABYODwjAQAAzArPSAAAAAAAAGhARAIAYOHwjAQAADArPCMBo01SvuwwbU7Rbu2ZCF3PMQyvvURSKKmj0Wllte7U8rO2R+f7Dax8UpGfaAljednWDXlVTaVwPOexf5PVDgr5Y92r5bqxRJPnfHmOWizj07fcwLUHy49TzAPzc7J0veqDlwbK9qmMZay8fGexj7O2cMvyQC+EHV0qB9rPZzyHfhnGnEi/ZL1UVjwv2fsTkvGWzpXnq2fnIR5b8nYs324Q0wEb8gZrubjnyxOx3RldtirHTe2Ys5fDim/ss9rZHN2fWv9CzrH3x6/T2G7t+gr9reWv2nXq57NwFN+JB9mv3RH7ykoaTNmRPEd5isBx8vxp5h1i3iHmHRLzDqk8R7XPqpcwnWNtzDt225kX83PLAwAAAAAAHDsiEgAAC6efk/pTPrBo2u0BAMDp0Ma8Y7edecGNhCZZVQxV0zmdpLTZuMsOarehP14GpohxakiDyFbKqLPRGbmuhybF9Ira9e/hiL0YVqVGsd3BGQujiuVkbFlaL+O+YshV09h5WZpiO0ndjf1fDztbvh2EKD4v+VOMkX0Ka6kqYd3e7RY6Gc5Dd9VCDO19/0rVoWyhZB522TtXXQsrVraqu1Hts2fjXgsZjWWGVqwEUbgOelctttTTc7rVttnD8WvnM5YWsyWhCx7Oqscs7DKUTOqfs89GCBHN/jn2kx0X+ecmXpYNZbKGK4TtvAzT1uhtG689X9YUo9aUvjBNScdpSkWO+p14RgIwS8w7mHdIYt4h5h37dadp3rFITuMzEuanpwAAAAAA4NgRkQAAWDht1HOep1rOAADg+LQx79htZ15wIwEAsHAG0tRPTx4cvAoAAEAr847dduYFNxLacNjcn7byij0XyfK8UkPuVlHqxa7c2g2xkN+WLR+yux7yD1ebB8HL5pQL7X3T5zFWc/JPnXU+lleq7T2sunzFytJYLmV3q3q9ddF2aTmZRZmmhlz0Wj6dl1o6Hw7OShBpOeTw2RgMNq0+UFxu/endVNbqSSFPdevmsuEU8uJi3qIkJRv3WNanlvsaS0h5HmOn4RqxnFpZCa7YBc/ditdmU3mi4S/C6+Vyn4OzYR9eosnaibmCnvYWcwz9c+Ofv1gubODlyvz6j3mNnvsaxtZLfvmYFO34+Az2X29fR5Efmey/hogEYHZqpRmZdzDvkJh3iHnH8P348445ejxAzWmMSJjj0wUAAAAAAGaNiAQAwMIZqIWqDdxrBwAAY2hj3rHbzrzgRgIAYOHkFkIM8xyFFwIAgOPTxrxjt515wY2EJklVzs+4tc0POvd5xOt9ti1qz3r+U8hnGyx7IpzXWq6WDzxPMNaT9Tw4yxfrhhq2B+UjNok367pWL9mf79C7UB3o0pVyEGIu4NK65cw15Hp3raZuzOHbvlDuf+VSuW4/5C56fmTv/Ogau96fXtjPwIbdz2f3WlihdpOyGpPe+XKh1/XOMa/RWkmbntAWtrXcyVgL2hYp9ct9Ll0POaI27P3QjtffzpYbWHw2vO6xj1+ow9zZLtuNY+v1k2s3kcMgpWue1BcXWndsLGN/vG52/2y1zPvj6ZoxP9FzanvnLD85nJjctc9GPEe+D/t+KK7xhnzIA3OMm56nMO2zYRa4JjVwksSvPeYdzDuG+2feITHvkI5o3sHf9xOPGwkAgIUzUGqhasP8/KsAAAA4Pm3MO3bbmRfcSAAALByqNgAAgFk5jVUbuJHQJKsKqzls+bJJwnYnKNVTXGOe9rAl+0UM8/JQpNEXqy8rSthYmF7/XIhFOuD6j2V8BkvWHxuDWOLGQ+9iWRovB+QG3dEnLR5XDImTpO2Lvs9q+dbFMgzOt43j0LHx6myE1axrXWsnhpbVroNw7r3MkZ+H3Am/sLJHuWfhiWFsO5seolat6yGhHqLWvxDC/bx/cf/WTsdCDmMfPBRwcNZjPcP15eGaG6OvJz8R8fr3cNK4zEsZdfwcheu9KKklaelK1Z/eWdu/haV2wvv+2uiQwuFOR/c9jt9grVwYw2IlL1s1OjT3QEfxN5Hyj8BMMe9g3iEx75CYdwz7U657JPOOrfn6G3wabyTMz2MhAQAAAADAsSMiAQCwcIhIAAAAs3IaIxK4kQAAWDjcSAAAALPCjQQcziRl0Jqer9BQ/rGR5yl5s2G554sVJWs8B9pTuXoxP6tcGN97GRrPQ4vrHlQKp8jB8nI3WzF/zco3Wd5XLPe0bbltMQ/Oy9l47lYv5IitPVx2dtvLMMX8RD+u2IUDEoyKUkY27v2Q0nfQ9ZLiF9OmlT06YxdRKF/k56S7HvZ/tlzm46WQA9k/4+Mek+ass3btxXJFtbxGKx8W81b7Xi4sllRd9txAyyfdGt1O3LZjebL+EV99rOrf5k2WIxrLoHk+pPUnplLWvmaayil5O/H7wMug+bVYlKD1Ek2x87bdBN9zNeOW06X8I3Ck/HulmNsy72De4W3ug3mHmHdoinmHj5eXUcWx40YCAGDhUP4RAADMCuUfAQBYALmFEMM8R+GFAADg+LQx79htZ15wI6FJUhXW1hRuO24o7n7tN4gldjy0LG6bPEzIw/9iO1Ympyit0lB+0nZZC02KK+fV5lCkGLrVO9+3ZeVOY3mntOX1d8JLOy4Pl+w3lJCKZXSWrtp2Fqq4tD46HDFbOaxBiPtaumb7XAt99RBRP8zQ94Hto2izKYxRUud6CPe7YDvdbIhztFMdx8SvAx8vD0uLYgmg7tXywGohtbG00oqPu5WCCuezVkIqrLp8ycJt7dswljqKJb8kKQ9G9yd5OzGkz0MwQxeWr9hYrtg+40e1IRRQKsMTfZ+1sMvYHQ/5jWGNvs/43kNEJ0l1cJOkigE4MgP/rmDewbzDMO/YWc68YzbzDpw43EgAACwcHrYIAABmhYctAgCwALiRAAAAZoUbCQAALIBBnv6P8YCKEAAAYAxtzDt225kX3EgY17h5uwed/HHKme2+DTmHno/VDXlnniPn+4j5Yk2lUwarZcJT91pDYpyXqgzdS1aWJvUtVyrmH26XCVDev24o49Pxvsc8qqXmfKyu51YGnZB/WDs/lgMW89f8fHV6I3dRy/NauRzKQl1oLv3U2QrtnPPrIJQKOlPuY2B5goNYfqrjnbf3W6O/GuJ56J8ZXeao9t7KMMUSTZ7vF3NCJRXnxXP6BnbuY/7fYM3GK7RbK7uUPQdy//1L5RhkzwltyA30aziFc+u5iZ5rmhtKbvm1F3Na/TooejDwz2rZTn919LJDPxsGwIkV5wvMO5h3SMw7JOYd+y07lnkHThxuJAAAFk7OaeonH8/Tk5MBAMDxaWPesdvOvOBGAgBg4bRRz3meajkDAIDj08a8Y7edeUFhDQAAAAAAMDYiEsbVlA982Idi+DMRLKcovu9slPd8Yu6b129u7J/3NbTjtZS93Vgb1/saa+EuW03k7fOj6+92LSet6Vg8J6yo0ex5XXaLLPa9lsMX3nseXO6Mrgd80Hkv8kutP71Q99hrPXtO2NL16nXX8uC6m2F/lyxH7owdS3i7daOda8uF7Ye8xu4Vy1mNh+X1nM/biQhv0/WynaVrVR96tl3P8i5j/p/nnfo1E9PvUlP+qB1ztm/DmGPr10wcd//Aef5mbKdW8zu2a6FstTrfYYhqtbtt3RSXT3Jje4L825hf6vnIjc+RcU3fV+MsG9E2VRuAyTHvEPMOMe+QmHcMVw6rnrR5R8OzV44LVRsAAFgAPCMBAADMCs9IAAAAh5ZS+oikTUnrO7/60Zzzzx5fjwAAwKI6znkHNxLa5tVjPPQtLp/ghpOHUaUQctVZL+ONBmteo2XEa5WlaJrCsaSyu1a9pQgr9BJIslCu2N8YyiZJS1dHh7M18XAxL7ETQ9g8HCqGcm3eYqWoLJwtbuthXt0N71U4RxYCllPDybdF/bXQVztHmzeH9WzcYxijVIaheSj64Nat4n0skZRu2iwXPVjF/+VlO38WjhhD6AZ2rnshZq677iG0ds2Evm9dtGXbZdfj0NbDBuM+ymX+vgiltOup+BzZx6274ddeCBW2ENHYv7xUNjRYLd5qKZRe82P2Ek7xGmoq2+jlrzp2F7yWslC0E8rEHfC9N5HY1jildkd8R+QWQgyn+FeBr8k5v2eqnQMz4OkCxTLmHY2YdzDv2Osv847ZzzvsY3sSSkW2Me/YbecQjmXewY0EAMDCyWohtWGOnpwMAACOTxvzjt125gU3EgAAC6fFhy2upJQu2qLNnPPmPpvs+r9TSknSOyV9b875oak6AgAATrSWH7Y46dzjWOYdlH8EAGC075F0yX5e0bD+i3POnyHpsyU9LOmNR95DAACwSCaZexzbvIOIhMOYoNxj442pA9opcuq8ulrIDcorZY5TLa8x5td5Tl9IOhysem6blZcJ+WNeDqjIAfP8MMvzivl/qW95lt73eGhNY+l5Z5Y7pZinZ+30Ytkca2fQ83WrDnm5qb6VDlp7qFq+ctlKBYXcsu1zZTtbN1gfVkZfKLH8Vf9ceR0kz4sLY7J81Rr6aJkYt32h2mf/sp3QW0Je43o50L0byiS17tVqQFcfKNuJeYx9z6u0cR+E3SQbjtq5jrl4DSW3/Lr0fMT4OfLPQty2VsLqjHdQI9ctPpsNucpS2fdaTqGt2wn3q2slrcLY+lj218pfLIUyaZ4L2wl993GuPyxGozUddlNJuTRind1Vc5FOeSg7279G0qts0chohJzz3Tv/3U4pvVbSB6brBTA7zDuYdwzXZd7BvGPO5x3HoI15x247mmDucZzzDm4kAAAWzkBJgyknFjvbb+WcL4+zfkrpnKTlnPPjO7/6G5LePVUnAADAidfGvGO3HY059zjueQc3EgAAaMftkt6cUupq+M8jH5L0DcfbJQAAsKCOdd7BjYQmWVV40KQlyfZb5ss9bHDZw6waQgxj+RuvELPh8XbhtddPim+9RJOVk4mhbsnKwJT7t+0sNCmWu/GwroGFi8XyO7GUkstrVvelZ2V9QizVwJ8MEsPHkp+DskPLV0LI3KNlMzfdVQ7K2kNVXaarTz1bdu9Mtc/emocYWsho7IKFqOVzIV5s4GFw5cfbywNFHSs3Nbijard7roz363aq/m1v2WBaWOMghKz1rCZgDNvza6Z30c5nWOzXt5ca7F4PIazXLIQ1XMP987aP6+W5Lj5/9rnuhXDO5cvlPraeULYby455qlMYylr4oTx0sqEEmOuHiNFayaYQAulhlj6Yg+WG/oWDaSzXNI0pIhdzbqFqw4Tb55w/JOmzptopMEPMO5h3SMw7JOYdkph3TKmNecduO+Ove7zzDm4kAAAWTotVGwAAABq1XLVhLlC1AQAAAAAAjI2IBADAwmmxagMAAECjlqs2zAVuJBy1hhxfzzcqyi7pgDIwRX6d7bKWUxRWtXy2HPMPNz1vKY98Oyir9khFzlW5yHPkYukgLxnl+mv770OS8mr1i2TtZM+LW6re522vtVT1b+lq+ZFYeazs+41/VuWhXbzrStlOr9zn9q1VfmKnX/bv+u3VIK3fauN8x0bx/rabqv107Jzc9+CNe6+7D6wUy/pnbcBC/amO5RRuPqFct3M1nMQr5QndDnl65267Viy7fnmteK8wnl6qpxPGPVs+a/fGreJ9juXCVix/9IHl4n3vfNWW5xHGaLGO5yZ6zmM4DV6uaOum6hexZJVU/6zGa9zzkXPIFYw5jZI0WB2dm9s/Uy7ren5yZIviufdzUss5jBXK7Psp5iB7rmstl3KSEo8tOY5nJAAnnf99Zt5Rx7yDeYfEvMMt1LzjiBzHMxKOGzcSAAALhxsJAABgVk7jjQSekQAAAAAAAMZGRAIAYOHkFp6ePE//KgAAAI5PG/OO3XbmBTcSjlrTtWAJUE31nHPHloXcLc9xrIlxJ5YzFPMTPVcr1r71drKVws3hSupaHpx/HuJxet89J2wQcgx1oSxMu7JW1Rnu98vgmuXlsoOb61U+m+c1KtT8TWXpYt30gbKds/eGBLaB1V1eKz9Oabtafv3WMi/u+pNCvt+fu1Qs8y+hBx64sdrHetnOysPV+2yf5rMft3UvVce9cUu57tpD5fht3BryQP0chXy2ra1yH8975keK97971yfuve4+UuYU1q6vuOxquW7nbKgvfaY8Sds3WX3nUGO6losXXtfyGO0z1umP/vytPlId96bVb+5eHV1DulY3O9S79u+KlEd/jmo5x/79UHx3lO3GnF/PWXUx37VruZQpnnr/XvHvh4Z1J3p+Qm5Y5qvysEWgjnkH8w4x79gP844Fm3ccQ8z9aXzYIqkNAAAAAABgbEQkAAAWzvBfBqZNbWipMwAAYKG1Me/YbWdecCOhSVIV9tMUUjvuMlmI70GlShrKJ8V4Iw/p61voVlF6xkLoitAf24WXXYnr1kpXhrClgYXwdb28UyjL5MPVt3I8ea2KVYohhZJ0/mwV7jcYlB26dr2sE5V7IYzwqtWJCuFZeans0foT/CRVZYbWHinbyZ1y2965avmlZ5at9C9Wx3Xl7otqkm6qShItPVaWWjr7QLgONsqxW7+1bGf7QrXu6iVbdr58v/J4ddxbN1qJpps2917ffPF6sew9H3tK2dBmNQZeFurc3dXXTwxplKS+f24uVcc9WLP4NS/BtRJCTwflV1xxLTaUGZOk7XPVL5bWy2Ueuhh5iaT42R2c8Rja0DcrV+ZjULTpn00vcRU+KtmrOYVNB/Z585DD7vXqOqiHQIfX9v3k3wGTfEeqCKW0VfcLlx4xTlRtAPbBvIN5h5h3SMw7pAWfdxyD01i1gRsJAICFkzV9Genjn5YAAIB50Ma8Y7edecEzEgAAAAAAwNiISAAALBxSGwAAwKyQ2oBSjFFJ9vto3GUqc/qyLez0LN9npVp5yfLrmnKlvJ1YMqlWamk1lFm5YuVjLI+p6LvnNTaUcxks2y9Cs73zVsrojOWhbY4OmlnuxkSvsp3LvTMj28kXypzHL/v0P9x7fa1X5jh+8DlPKN7f+/tP3Ht98x+VeYNrj5V9v3Zbdc7O322ljD5cffQe/zTL4XvyleL91QeqRMJlyzXdulC9PrNRLvPcuzgkvbPlsguf81Dx/pG7qjpNAz8nG1Xfr22WY3DhfJnUF4+k9+hasSymEZ67pzzPV59a7nIQzllastzJB8tz1r+5Ktc1WBudZO+fv+5WuerS9ZBT62MZ8i5rpZXscxNLiXU2yuOM+Ym9C3Zctm7MqZWXXbJTVC4s38ayUL5d38Yrll6qHWdoJ3c9V3J0mahsqcJNz0yolW/a71kLo756yG0AhuJnpM+8g3kH8w6JeYd0iuYds4q/P4W5DaQ2AAAAAACAsc3djYSU0pNTSv8+pfRISmk9pfTelNLzwvKUUvqhlNJ9O8vfllJ61nH2GQAwW1lpL8zw0D8jwx1w2jD3AAA0aWXeMWdzj7m6kZBSuknSb0nalvSXJX2KpP9N0mNhtZdL+m5J3y7pBZKuSXprSqmMbwIALKxhPefpfwDmHgCAg7Q175inuce8PSPh70v6WM75m8PvPrz7IqWUJL1M0o/knP/Tzu++QdIDkr5S0s/MrKd7nWpaZnVobeUUchk9F6jg6ViWgxx34zV1ly9V95I8pzDVcidH5zjF3MlazqXXd455jdb3dN1qJIdtB/3yvtfjV6vku+2t8lIerJfv07kq1+2ln/G7xbIfue29GtelT6ly8T7717+zWHbjb5bzxZjb2bep5NVPDHmoTyjz+zbff0PxvhuGpF+mBiqHk+s1o2/7vfIkbd5Qjd+jn1EO/OaHby7eL1+rztF2pxz35Rur/m7ZuF+0hMmrMafu/HaxrBtqPft1sPpwuc/1c+GzsG05tZZfl9ardptyX/uWG6hrZbupoaBy/Ix53fPlS54cGNZt+Gws2f79cxNrOHf882ff5EVNd6+9HvvrOY/ev5gTbddezE/23GnP7Swc8ByZOboRj9Nj/uYeUfxMMe9g3iHmHZKYd+gUzTtwZOYqIkHSl0t6V0rp51JKD6aU3p1S+taw/OmS7pD0tt1f5JwvSXqHpBeNajSltJpSurj7I+nCqHUBACdfK+GFc/TkZByp1ucezDsAYLG0Ne+Yp7nHvN1IeIak75B0l6S/JOlfSfoXKaVv3Fl+x85/H7DtHgjL9vMKSZfCzz1tdRgAcAxyaucHOJq5B/MOAFgkbc075mjuMW+pDR1J78o5f9/O+3enlD5Nw5zEN07R7o9KenV4f0HSPUqqQgL3Kzs2jsYQX68NOTqkqKkdL/viZU5SCAVKFg7VXwshfBZi2LWyK7HdWtmVGLq12hxfFPeZrBRVrSxM2E/vWtnBXuxwrS5U2Ycz5zb3Xv+NG99pPbKSTQ1u6FTrft4z7yqW/er1Ty7eLz8aPl4DO0eh/NWgX4ZV9p9QhuJ1rlbtrD1SntxrT6/W/ZRXfqxY1rvv/rI/f/n5e69Tv/zoP/wXyn2+/6t+Yu/1F77vy4plD1ypykJtvO/GYtngOdeK90+86fLe649+8LZi2cYTqjFZe8RLkhVvlUJJonze4+ts2xj6Vgu/HV06qGftxmvay5fF69TD6zzcb/nq6FDhGHI4sA956vj3Q9iHhRHXPvOxKRuu2AcPBfTPY9nXkYtq43Ng+kIbsv3XF7eQZzhPeYo4Ukcx99h/3nEU4nXMvIN5h5h3SMw7JOYdbWvr+QbzNPeYt4iE+yT9if3ufZJ2q7/ufoPdbuvcHpbV5Jw3c86Xd39UlqEFAACnV+tzD+YdAIB5N283En5L0rPtd3dK+ujO6w9r+Ef7JbsLd3IPXyDp7bPoIADgBMgt/QDMPQAAB2lr3jFHc495S214jaTfTil9n6T/IOlzJP3tnR/lnHNK6bWSvj+ldJeGf9x/WNK9kt5yHB0GAMxeGw8smqcHHuFIMfcAADRq60GJ8zT3mKsbCTnn300p/VUNcwv/kYZ/rF+Wc35TWO3HJZ2T9AZJN0r6H5K+OOe8oUnFu0LJfh81nW9fN8SA1HN/RucGxhJIw4UNO21aVMu5CnmMVvYlW76fYo7TVrmTQSjv5PlYvm4OuV1Ll71mVPl26Uq1vG/ldnIYk85GGVzjfeiHEk4P9c+VO/EaQGP61PP3Fu/f/9QyF++Re6tnbC1dtz2uVMc1WC/HYOVKOQi9c2G8rJ2b3l19hO/9q88olj3767aK91v9j+y9/vwbPl4s+66by9JUw4/Q0Bue+f8WS35jvdrPDz7y5cWy6/+tjOy9/5OqHMju9dEBUDFvUZKWbQxWHqvGqDwqafmy5zlW7zet/FXM1fW8PL9m4vvBml3ToZ1suYrLj1spseIzX+5z+2J17S1fKcenb4mETbmCtc98yN/0XObO5ugvCM+7jPwPW/x+SJYv2hjr5nmVtVzK2CHbtul7GDgiM597tC1WXmPewbxDzDsk5h3SKZp34MjM1Y0ESco5/5KkX2pYnjX8Q/+PZtYpAMDJ0kZ4IDcrsIO5BwCgUVtpCXM095i7GwkAAByE1AYAADArpDagFMs/TrJNg+56tYKXK6qFPK1U4UdePimGNR10veVQziV7RF9//9eSlBuujuzhiDH8sNfcoVjeplaWxo4zhkRmK0sTAwMHq2WYYNyHJG09dHbv9fe+/6uKZT/27F/Ye/15Z5rDDe/uXd17/aH1W4tlH//wE4r3N91fHdv1J5XtxOP0sK61h8vjvPF3qhPz2J12XDdU627cXp7Ad37wE4v3d73k/9p73U0eA1aGXV4arO+9/vkrn1kse+MHXli9sWu2U1ZzKkIgN24dve72uXIM/H3v9hBYuOV9L9/HkMzVh0eH+23f4PG2an5fNBRLpFkZJjufOYQ5+vjEz3XvzAG3oEPfk4Ubesm0+N3i68bIxVrm1VZDqGAtzWB0mTgv75Qb+u7fM/F7yMtL7VuGd37+3gLHgnkH8w6JeYevy7zj9Mw7mCccHW4kAAAWD6kNAABgVkhtAABgERwmpGy/NgAAAA7Sxrxjt535wI0EAMDiISIBAADMChEJKIwq/3jQNg1iHpOXZPGyR0XuopdMi7lu5zzJ0Dq7GTe0/qzEnCbrz5InHIWXTTl9nnNpeYTpWpU/5mPgeVXL16rlnse4FUrY+Ph0Nsp1lx6tVrh8f1ku6Zs/8rf2Xj/z2fcVy+67dLF4/+QbLu29vrq9UixbeaTMi7v25Or1YLXsXzHudvoGy+X7M/dfD6/LZZf/3Pm911v3lYOwfK3s35e/ssrRvPZJZZ7lc3743cX79X7ViT94+MnFsu3tcJxWfufpf/2u4v1776m2PfvOs8WymIfq1972heKteiE/MfXK42zKb/XyZTFnbuWxsp3NW8sTsfx4tXzrFjtJ8bPqnyk7f2W+rX2mYv7hYPRxSOXHumPLPD+yuzH6uyOu2Tng2uuGwnV9L2kVn2XgOdCekxm+Ezw/2b8z5+gZQ8BcYN7BvENi3iEx7xi2E9c7HfMOn2jUnr+EQ+NGAgBg8RCRAAAAZoWIBAAAFkBO04c3EB4BAADG0ca8Y7edOUFwBwAAAAAAGBsRCU3iwzf3q1+ug5d5vlFc7rnCnu/TdEOqKMdrK3pd6CJ3y/ZZ5Dx6/qGnKoacw7TstXBDfWnbv/cvh/yxnh3zsuWdDcJyz/OK/U1W47d/tuzfxQ9Xy7ubxSLd+IFq2YPv/4RiWddutX3o+VUy19Jymei1fcHr+FbLO2fLJMybb7q29/rqepnIeMvbyqSw/K4/qtq5UCbxPfg1n7b3+ty95djd8n+9vXgfe7D6oY8Uy973n4u3evwbnr/3+qEX2Lk+V7V0/oPlV8gH7yhrWn/3Z/7a3utXX/miYtmZj1VjufpouYv1J1p+a6jPffYpV4tlg/tvKN73w/W1fZMn41Uvly+XfY+5iVJZ29jzULdvrBry2uFeEznmS9by8sL7gSUgLl8uVx6E1NNaXqPl+A5CPeeO13peG90fz5stGx29yOtUN31H1sbAQ/hGpzVO9CDjnGultic27fbAcfB66sw7mHdIzDsk5h3DlcN6p3XecUTamHfstjMvuJEAAFg8PCMBAADMyil8RgKpDQAAAAAAYGxEJDQZVf5xgnBbD6eJ4UcHlUHrhLCh/vkyvifHEL/tcifZ4hpjiJOHPxWlXTZHh0YNfxH67iFOoWRTZ93642FMMeTRSjTlpTKUK4eyMIOyqlA5XjaWS1csPGu56u/5j1s8VtCxsTzzSNm/K49V4YD5xq2yO3Ys3avVsXzRZ7+3WPaqO3517/U7Nm8qln3fr35L8f6OT37W3uuP/kg5CEv9Ktxu6a7zxbKP/fynFe83P1YtX3rS9WLZ07/uT4r3D/6Faoye/N/KMfmyV/73vdc/ceULimWd62W45N+96aN7rz/7C3+iWPYtb/quvddXn1os0rm7y32uP7E6v9ceKss5dW5uiH3zz1j4sNY+mxbe2j8b4+LKdVcfqs7tppVo8lDhIrzOSpstXa86Meja58++nTshNLYWKuyllmJ5J+9OWNYpL+F6qaXwUfHvg274vijGStLSFS/FFtqslZAq38fvvVp5p/1KP438/m3joUfz88AjYBfzDuYd0mzmHVe754plf/bqF+qwBueYdzDvmM284+hSHVp62OIczT24kQAAWDgp75Mrfog2AAAADtLGvGO3nXnBjQQAwOLhGQkAAGBWeEYCAAAAAADAaEQkjOuQ5R89N0kxV9FHvyF3uLNh+X8hryovW95SQ35OU16Q5yJ534vyTlYSqfNQlUMXS8AMN7T9xDyrhrxKSRrEY/PSmr0wBuetfsxVK8sUcqW2LpbLts+MPifXbyvX7V4LJWxuKvu6fENZ36m3eWbv9Q/d8SvFso/1q4S2Lz5bbvcdn1key1O/9vLe6z9+1luLZc/4uW/fe731uWU7y+8rSzbpXNXf/t1lXuP73/Cc4n3n8ap/nb/9QLHsP3zks/ZerzxaJuYtfbzMI7yz8w17r3/8ub9QLOs9fWPv9eBqmSg/eKQ8Ed2N6hx5xZ+4TCpz/NJ1y31dqT5kvfN2fVsKa3xfK60UrsvlS3Y93VB+kJfCtZgtHzHm/Cf/nNjnaCl8B/TOeAk3z4EMjTXEyPn17mWYYq7w0rrlH4ah9XOQ/bkHISdysGRj4OXoGp5Hs++yUYeXW8hVbCXXEZgt5h1i3qGjm3f8uZ/5dh2FzjXmHcw7ZjPvyP4slra0Me/YbWdOcCMBALB4SG0AAACzQmoDAAAAAADAaEQkNOmoutXSUOmlsQkPDYxvrU0vT9J0m6cIr/NSMxYmVGs3diGE98Q2JSlZWZrY9+yhW3FVPy5rN1+sOti5XF6CHlYVSzr1z/qBhZfXyv54qFS3imZTb7Xsz/UnxobK7VYfKd+fvbdaYemTyxKK13/3CcX77adVcVXf8GdfXSx7+VP/a3hXDthv/JVXF+/fs3nb3uun/5e/Vfbn/mp8NnJZoqlvYWgX/9zjVd9+++Zi2bUL5cV27p7q/d/6K79ZLPuGiw/vvf6if/yNxbKULdTt31XrvvyffVXZnwvre68vXSr7fu1p5QnsXh/9YfCyR8vXqnO0YaGnZz9WXW/XP6GMKTxzb3kt9kJpoVrpoBhCZ8uWrnndsRGvpcYSTd1NjzkM63rZJfsm751r+FyH3XhIbxFGLCmF0EAf50F437G4z1rZxoYovdrYxm39uyt+VAf7b181JCIScCox72DeIbU37ziqVIYmH//j24v3H/zaf733mnmHmHdounnHkTmFEQncSAAALB5uJAAAgFnhRgIAAAuAhy0CAIBZOYUPW+QZCQAAAAAAYGxEJDRI/SrnLZZ28bycolxSLWdndP5Rz8sVDRruQHmuVMwx3Lb7Qd3R+Uf9s2VDndCfWt6S5SrGdruWGxiPc8nyyrYvlvlisTROrYSU7bMfcs1q/bkYcs2ujc4zG/av2vbqJ5TtnH2gWvfx/2mjWHbuV9aK94/eWa17cVAe58YnbhXvV+6tLoyP/eknFsv+3v9U5S7+/vN+tlj22+ufULx/9Z/9z3uv09XyONefMnp8PF9s4/eq5yJs3Fn2dfnBsm7OlWdWY/sDv1bmGH7DV7xh7/X9LyrLSD7x1b9dvI/ZgHf8v08pln3sL4ex9XxbLx0UxjqtltfwhQ+Vq155RiyRVA7C1o3VsrX7yrHcPlfuc/lKKP10g32Ow2XieYNesineru2UFbeKnMLudTt/Vsooln7y3MnutWTrxobKdWN//ZoZrFmucPx+WPYxiN8d5T58n8V3pI9B+REr8oxrOY/7LPN19tbNjRWoxjLt9sBxYN7BvENqb95x0jDvYN4hTTfvqG3bkjbmHbvtzAtuJAAAFg/PSAAAALNyCp+RcOjUhpTSC9rsCAAA8y6l9KyU0m+nlD6QUvrdlNKnHnefFgXzDgAASsc575jmGQlv3+nwP0wpPaO1HgEAML9+QtIbcs53Svonkn76eLuzUJh3AABQOrZ5xzSpDV8v6esk/UNJr0wp/Y6kfyfpP+ScH22jc8ctd6q8npgb1Ji366VcG2qkJ8tN9BrE8bkMXct/6sfar5bn5XVhY35iUx59PmMd6NiB9kbnUhb5kJbzuHR1RBKzpP65coAGXrM5tOu1ZgehPzFvSlItLOj6k0Iu5ZVy3Y2bq/dn33OmWNbplQ0NbqgegnHj2fVi2aVLZ4v3F0MO3S3vvVIse/+dF/deP+fHvrPc7u6yzvBDX1qNUceGpxgfzw+zvLOtG6t2lh4qE+H6nqMW6pB37Jp5+n/+W3uvn/EeSzxzoZDv+d94f7Ho5js+Ze/11aeWm23dVo5BvKaXP1Ymt63fVvavG07L9oXy+lp9rDqunuUm1j6r4fPnD9CNn/Om3ETftpbXGMfWyzd37NoLh12r5+wfzXgs3m7D90HtOygOtbXTWDPaulN8Hpv6quba8MVxD/ZfZ283x/CMhJTSbZKeJ+mLdn71ZkmvSyk9M+f8Z9P1BjoF8442MO9g3iG1OO/Q8WPewbxDanHecUSO4xkJxz3vOPT3Q875/8k5f4mkJ0n6XzU8Tf+npHtTSm9JKf21lNIRPc4CAICZWEkpXbSf1RHrfoKk+3LOPUnKOWdJd0t66oj1MQHmHQCAU2LcucexzjumvtGYc3445/y6nPOfl/QsSa+S9EmSflbS/SmlN6SUPnfa/QAAMLbdes7T/kjfI+mS/bziGI/s1GPeAQA4cdqad8zR3KPtqg3rkq5L2tDwXwqypK+Q9DdTSr8v6Rtzzn/S8j5nY9wQGQ9Fsui6GCrlYUG1kMMc1rWwwRjSky2kTx0POYz9aYiXsRC+vGwxVyFcTFtWhimUaPGQKy/vFEu7yEP1uzYoK1UfsvUv3gbzfXSvlffIemdCuRsLR1x+rHrtYWZXnmbha49WKQH5yTZe1r+NW6r39/35C8Wyp/6nKoRu7cEy/FDvfG/x9tn3fNre6w9/ZdnOdkhX8Otp9aHyHG3cXu0z9UeHfdZYu5/4tIf2Xj/w/CcXy57Y/6xy063Qvz8sI6yWr4bru1Pu5OyHytSL3vlq3ZVLzTFqG7eGa9FC6LohIjLbtdYURtgUZtY/23B9qyzZVEs/ia9XR3/GJamj0ceVrOxsEf7nfb9SHZiH+Na/wKqNB/bXohOiQH0ffTuW+JnLB/3VaSsEsb2qDa/R8H9Uo1GxtR+T9MSU0lLOuZdSShr+q8DdU/YEoy3uvOOQmHcw75Dam3fc9dLzOm7MO0rMO1qed7Sl3aoN4849jnXeMXVEQkrpQkrpm1NKb5P0UUn/WNJHJP01SXdoGIL4NZJuk/RT0+4PAIAD5ZZ+pK2c82X72fdGQs75QUm/r2EuvyT9L5Lu4fkI7WLeAQA4cdqad0ww9zjueceh79GklL5Cw4cefamkNUm/K+llkn4m5/yIrf7zKaWbJL3+sPsDAGAOfJukn04pfZ+ky5K++Zj7szCYdwAAUHNs845pgj3+o4bhFK+R9H/nnN9/wPp/IOlNU+wPAICxJLVQteEQ2+z8LXzRdHvGCMw7AAAnUhvzjt12JnGc845pbiR8Qc7518ddOef8TknvnGJ/s5e0dzaL8o8NJR5ry8pqMmX5Fi8r5Pl2IecpW/5hLEmUB54A5UmQIW+pX3awyF30ZC3PVRzEfCPrT8idGtiypWujc8KWrltOYbfcZ+dadYl6OcPO5WqZ78PzEWMemJfmWb4cSx0Wi2rnc/Xh0dlAncctvy5UdDr/sPU9lney3ESX3/VHe68vfGb5PfHIC0KJpuv2TIQnlgez/Eg1Xr0bRtTM27F0KYzJM68Wyz724M17r5/1X8qKa5c/6cby/dOqdgaf/5nFsjjWaw+X+/dLMea/3vihMsH18WeUx73yeLVuz/IIY7te8nL5sl2nsUSZBZNtX6y2XbayXv7ZGKxUy73MUeyfl1prKq1U+16xnOj43VHLG9wKTa5ZPqTlWcYxWrpeLuuFPMcl2y75X5a42L6u/I9ukSNq41WWsdt/+2I/7TwjASfH4s87WlD73DDvYN6hw8879NIXNq47C8w7mHdI7c07jky7z0iYC9OUf/z1FvsBAAAwEvMOAABOjlk9xxIAgNkhIgEAAMzKKYxI4EYCAGDhpNzCMxLm6I85AAA4Pm3MO3bbmRfcSGiQ+lVuUZGzZil8Tcv8iRnx4hisWl7epuURhvxEr+0a2+1avl+/U7abeiFfbM32uR6WnbNEKqsZW+RK2arxfbIkq0GZwlfkqPlnZemy51JWr7uWE1Y8m8JytQbLlp8Vcqm2bykTvTbCMs9xXLPngMf8w4/e84Ry4Q1lu2feXx345s1lu7d/4z1Vm7+2WizLm2ViXHrup+69fuzzNsplj62M7HvqlYPSO18NWNr0RLhS72Kow3yl7N8db6u+Nq7cuVIsu+/F5bh/4ee8e+/1r/7Zs8t9XK/aOfORsp1Yv1mS1h6q+nv1DjvZZhC66/nAkecmei3vfmhnUA5BUcvYcx6T10VPo/MRi2vYuto/Y9fw+ugczOWrVkv8tqphP854XF573cXPqh9n/L7ynF4/zvLzaOPjCXYNz5zZb1ltHeC0Y97BvEPtzTt0qyXrP2R/EI/AwI7rjl+q9sm8g3mHNN28A+3hRgIAYPFk7fPkqEO0AQAAcJA25h277cwJbiQAABYPz0gAAACzwjMSEOVOCJ05ZIRMLdwolD3qeAhfQ1JMtpC5WPbIQ5Ga+pd8n8UyC+9bspir0Pela1Y+KZRkWX20XHb9E8oQteXHqxCxzlaxSIMy0qwoN9Ox0jMx5KoW3mzv+6HEVdqwvoeQ/+5GGb62eXPxVmfvD+Wc7iljJ8/cPzpke/tc2c7Nq9f2Xr/nZ59R7uPnbijeb12o2r3tCQ8Wy37kz79l7/WvXP7UYtnP/Pc/X7zvhnBSH8ueXUM3/Gk1DjfeVcaTPnZn1U7vrEy57o3L61Xfb75cLLvv4Vv3Xm/caqGvt5YpHL1r1Y6Wr5R97Z238kD+eQji9Z/t22/pWvk+llOqlecKJcm87Fj/zOjQ4aLsmb2vl1aykL7iM1+uO7BjiaGDsWTUcOXqZdfLLlnJpk4IbR6seOjy6LJs9RJS4Rf2teKhncVn2U/lJN+9PCMBpxTzDuYd0mzmHX/7P32r2nLxQ1Xnb7yrXMa8g3nHsL/tzDuOyml8RgLZpQAAAAAAYGxEJAAAFg+pDQAAYFZIbQAAYP6R2gAAAGblNKY2cCOhDQ3PT4illKQyd9FznGoXTkzvsTOVYru+oZVIKlgyS5EvaaVT+pZfF/ORBpbTFPOWNm+2nCbPjwyb9tfKRZ6vFfMTa/lYS6OXec5VP+QjrjxiZRFDnuXGE8sOeGmsCx8NeYO/Vw70488sO7FyqerDmTLFUP/jA8/ce332gpVd+vqHivfX3nVbtY8PlqWfXvKZVR9ecuYPi2Uv+6q3F+//9oe+au/1n7y9zI/8hF8pj2X1l39n7/Xgc59TLOuvVQmlaw+X43zh8x4u3v/GfdVxXt+yelw3VAmAebM8J/31cixj3ufmTaOvJ8muzVo51rCtbbd9oXwfyw75NVyU/Togbz+WW/P85Kbc4SK/T2XOYf+sHdigvE79u6XYZxwey4GufX/FXErPuw778PJlg5WG7zb7Djr0A46z/ReAJOYdEvMOaTbzjg9+7b8ulj3YL5P+m+YdT/rN8riZdzDvkGYz70B7uJEAAFg8pDYAAIBZIbUBAIAFwI0EAAAwK9xIQCFeEMl+H427TFIKUWnJQm2ShRTFMDkvQRTDqJpC+Gos/LCpLFTHwob650OIoZddCVdSx0IVO5ujw498n7WSUqEP3m4MZVy6Ojr8SSrDCrtlhZ8i7CwvlSfFQx7Xn1Ctu2TlnPqr5brnHqgG++MvLkPo1v6siq3sfXpZ4+dZN5Yhhr/5hFv2Xnt45Nd/5PP2Xv/7T/z1YlkMKZSkh9armNHly+V4rf7y7xbvu8+uQgOXPlzGR/b+16o/y6tlHa2vf9o7i/f/7F1fuPf61v9fOUCbX1qFQG5ftvBDuwzOPFj94tqTy2WxVJBUlgtKueH6sn1s3VGeh6VHqz71z5Uhfd3r1bnv10qHjQ4brIUYNoQD56ayiLVQwPL9IIQgdtY9l2D0Pmt9CJvGUElJ6l6rdloL//XPvJ3egn9Hht34ccXx2uvbYVMjgEXFvIN5h5h3SMw7JOYdOFrcSAAALBwetggAAGblND5skcdPAAAAAACAsRGRAABYPDwjAQAAzArPSMBYPBWpqfyjrxtLK1mpkk6ZKlXLTyyaCXl7g3NlwlP3Spm4VORA1vK6Qv6hXbleoqUoIWU5hZ7XGMV8SKnMOfTx8XyovBwHzBoO8TTbN1ju5LIfS/X6zP1lIE7Mq1p7sOxQ71zZzvodoRTOatlOtvieWJZp9dFy2fWnVyd79X1l/Z/fvHJn8f7f/6WqvNIPffjLi2WXt62OVfCWZ721eP+Tl+7Ye/2afpnHqBd+RvF2e7m6hq48ryz91PtgyNf89LLs0j/71b9SvD/3kaqdq0+xDn6gyp3snLXc0kdtbMMl7Z+T5avl+/5atXLvfHnRDEI7tbzYnuWengn5fhueWFy97HpeXkMJJBfzHD1vsfbVEQ/FqyfZZyN+VrOXRAqf1dozCLzcVDgWL0mmUArOczCnyU0sPkdN+ZoA9sW8g3mHxLxDYt6xn9M47/DvA7SHGwkAgIXDMxIAAMCsnMZnJHAjAQCwmObojzEAAJhzp2zeQaAoAAAAAAAYGxEJTZKqhKGmO0wNOb1NNc5jPtF+Yh6f5yIV7VodaK8LHXMOazlNIR/S85a6Vge2f9Y7sX8flq805y31zoR9Wl5X2rYctVCbt3a1xmWWg1lr51x1oIPVsgDvyqXQjKX+eZ3ofli+foflVV4ok0s3rlcD6jV1U+j75m3ldmc/WPbvNXd+0d7rt37yL+mwrg+qesrbF8txf/zOc8X7W971yN7rC7lc95HPrE5gr18e1+pD5UV0/t7qOB/7JC9uXr3s31SOwXa/vGg2wlhf+FC5j0Htuq0a7q821HO+qaxFrc2yoU7M+bU4s5iX6vl9/hmLtddleY1L16v32xfsemrIeazl+3nu4lbzd0vVOdvO8yX7DXmNcZ/e1Y6NV9zWv0Z82zTi9X7rjvrd7u952CJQYN7BvENi3iEx75BO8bzjqPCwRQAA5h/PSAAAALPCMxIAAFgERCQAAIBZISIBhXhBJPt91BQyY5E+vRDi5OE8tVDBeEvK6hXFbWulUyz8qLsRQ66sJFIvhhA1X7lLV6u4Ki/RFEvjbFvpouVrZf+6IfxoYMfVO99Qi2alHOjuWhWWli1cM69YSN+16lL3MeidCeGRVtJnu4y8K0pj+fnrPFZ+nAa3ViFs/XN2IWxUMVd33nlvseiu3pOL94/9wNOqdb/oO4plv/HSf7r3+olL59Xks898eO/1l37xO4plv/iMTy/eD5Zu2Xv98PPKA+1sVOPX+41bimVLdphXnhrPg417KL2UuuW5vfFTHineP/Khm/Zeb9thJitXFq/NwZmy3XQmXDMbVq5su+GRMV4vLH40LRTQy6ul8Bnza6YYA48abOhOLYx4zUL6YpmodfvuCKsO7C+AhxHGz7UflxpKPfl3ZBEuLTNBOd19txszmhI4rZh3MO+QxLxDzDsk5h1oFzcSAAALh9QGAAAwK6cxtWGuqzaklL43pZRTSq8Nv1tLKb0+pfRISulqSunNKaXbj7GbAIBZyy39AIa5BwCgpq15xxzNPeb2RkJK6fmSvk3SH9qi10j6MklfLekvSnqSpF+Ybe8AAMCiYe4BAMDQXKY2pJTOS3qTpG+V9P3h9zdI+puSXppz/tWd332zpPellF6Yc/6dQ++0KW+3YZnnJuU44t5OLVlpdB5hLPXSvW7lks5bflY/7ftaKvOhupuj8yGHK4eXq7YolqXxMjSW1xj70Nkandc17FR8XTY86FU7TVb2Rdc8CStsZ4v6q/uvJ0ldq9TTG12Zp1ZKqPNoVU7Jx3bwpI291x+8/9Zi2doTrxXvH3j+xb3X5z9S7vQvvfblVX9e/Fix7Hs+6VeK989Z/dje61+869OKZdvXyrJHD7+wOpblR8sBO3NfdSxeYuv6k0c/MGRwsRyf1Qub1f63yn1cunKmeF+UbLJc0yW7prduDheulwNar/aTzpb9yX4+z8e8YvtsxDJHdjvW8/a6l6oV+va5Kbazdjp+zcTj9q8K+37obFSN1XIpw346W6PzGIcrhGV+asPYdixfemD7jPnStZxH32fT82gm0cZd/Tn6VwEcvWOZe7SNeQfzDjHvkJh3SKdo3rE8oz/mbUUTzNHcY14jEl4v6Zdzzm+z3z9X0rKkvd/nnP9U0t2SXjSqsZTSakrp4u6PpAtH0GcAwIzs5ipO+wMErc09mHcAwGJpa94xT3OPuYtISCl9raTPlvT8fRbfIWkr5/y4/f6BnWWjvELSD7TSQQAAsFCOYO7BvAMAMNfm6kZCSukTJP1zSV+Yc944aP0J/KikV4f3FyTdo6QqtGncu0MH1BiJd5k8ZKepBIo8xClEUfXPWkihhw01lacMMSleaaaWphHDGm0fMRyqbyVh0oY1FPfZENI07FNYYb3hcvVwsTWvdxPCNS2McVBFAtZCwJauj+67l82qhSfevl61+0AZMpcfr3aarZ3t9bWynbNhu0657vpTquPMD5X1iV6tlxTvNzaqeMDeRhkbuPxw+X7lsWo/WzdZ+FoY2mtPKZfdcmdZPunhR8I/sl0tz9/W9erAOjdbLKcpwlLt/G1fsIGPIWzbHrIawgY9LHXTLr4bwwfw8XJ8Yn8GS/b5ayiLlv0SDpt6KKBfF0X4rYcYLk1w+7oz4rUkNZS08hDI4vvKv8ts3fh91bTsQPulPYw6dFIb0JIjmnvsP+84Asw7xLxDzDsk5h3DjcN6p2TeMTOnMLVhrm4kaBg+eJuk309p7+LuSnpxSunvSPpLklZSSjfavwzcLun+UY3mnDcl7SVOhbYBAPOIGwloT+tzD+YdALBguJFw4v2KpE+33/2UpD+V9E8kfUzStqSXSHqzJKWUni3pqZLePrtuAgCOVRt5hnP0xxxHirkHAKBZW883mKO5x1zdSMg5X5H0R/F3KaVrkh7JOf/RzvuflPTqlNKjki5L+peS3n6inpoMAADmAnMPAADq5upGwpi+R8PMmTdLWpX0VknfeaiWYojKuCXJDsrZCblAtdzErYbQRk+LC7lJXoapVl4tbuf7DP3xfKLe2fFLqcRtO5bv5HfneqF/fduHl57pX6gGtHOt7HxR7sZzySzxMvbdy1QNrL/FspXy/fKVMAY2lv2t8jz0lqoVlp94vVi2vVl99DoPlAmSy1dH56Vu3lL2PcdSOGvlgfR6ZQdXV6vl24+W+ZA9y3fthfxIvy4ff26VV7h6rswxvHK9bDce28rlsp2NW6sD62+Wfe37hXq+6nt/vTzX/TN2LcacQy87FsYo5otK9fJJCn3qWN7gYLUaL9+us15eB/FQUi0XMG4oY+WTYqklK7vkpbLiZ3fpWtn33krVd88r7lrfUzju3Bn9ma+VgfIc0fB2Zk8jJrUBs9Xe3KNtMSfay70x72DeIeYdEvOOnS3Lded43jGzko8RqQ3zJ+f8efZ+Q9J37fwAAE6hNkoozVMJJswWcw8AQNRW6cZ5mnvU7kUBAAAAAACMMvcRCQAA1JDaAAAAZoXUBhzKuM9PkOUnWv5hLf8vpI+lvudKVa+7myqXNZcZLsUSsXY1+D7LnKvRy3yHPcslK/Zp+U+1/M2Qn+i5lLEWtOfTDcp0tjJ/8sro3M6u1Z6u5XKF5ckGeulymV83CDlz252yQ3mtOrlnn/V4sWzDai33Q85ht1vmFN5wvqoZfXGtvBC2+2V/Pn7PzVXf7fz5seRQy/iGW65olMdivWZJqx8p8y5XQypj75xd36EPSw/aMdu4d8K4b99YXggdq8O8dDWM+0W7aEIOXcfP9UWryxzy9mo5hudD//y5KJ7zGJYPPK8yngfrqn/+is/VdnnMPl4qakg3nGv/cvDvpJAT3fTcA+efY8XPuX8deG3quK33b9I/rnP0xxiYCeYdzDvEvENi3jHsQLnZQs07jsspm3eclGEHAAAAAABzgIgEAMDCSWr8x4ux2wAAADhIG/OO3XbmBTcSmsQrItvvo8OGsRywXQybq5WaCeE+AzuLtRIoq6PDhGL4n5dr8cOM7z3cr2l8ti10q3utCoSJ5aSGy7xOVLV84OF+ofxUf63cR70MTHxT7iKGVidb1vfyROGc1J6qau9jCFv/wugwy+t33Vj29bYyVDDFMEzb6e3nr+69fmzjTLFsy8owqTd63PNSeZxLK9UJzlbS6tLlqkbT8sfKUkYbd5SxeCuPhFJGFgbaDd3zUEC/DlYuxW0tlNOui34I8etsjA66ip+L4S8szDK0Y5eFtFr1t2MlwPw6yA0liJKH7TWI7SQby1r4bSdce2seAxnCLBtKkA3bHV16bRDaXbbw2trnKF6aPj6TfJ9OkEbGMxKAfTDvYN4h5h0S845xzPW8wy7FmeAZCQAAzD/KPwIAgFmh/CMAAAAAAEADIhIAAIuH1AYAADArpDagEC+IptzcSfJ2G1KTPL8nlkXyPK8i18zKtfTPWd5eLDfjeXohxyl7muCW7Bej+9NvyHkcLFnJmNC/ZOVkPK/LyzQV7ZytZZBV7dqY9M5XB7r6UHnZxzSv3tlyfyuPlYOydUu19tIly5nzMlqhD7Xcsq1qW89N1KUy9231Sdf2Xj/5pkvFspifeG2zzBu8cn9ZIin2t5Z3dqYcy0HI29vcLsdrsFm103/GRrGs80BZhmnpatWOX1/LIf8wbZcLO3b+Nm8OeXp22gcrlmd5tWrL8+/758LZ9hxCiyVLG6FP1vd0dfRX58BzA0NJpO7V0deMl8Ly0k9x24GVevKyY3k5fMa8Llv4kkqWy+nXRZnzW7YTy18Nlqb4q+dxcXH4mp6fkEasE9flRgJQ8q895h3MOyTmHWLeIc33vONElH88hTcSTsKwAwAAAACAOUFEAgBg4fCwRQAAMCun8WGL3EgAACweUhsAAMCsnMLUBm4ktKHphE/wPAXP5YrLm6q+et5SrJcslXVrve7r0vXRNaO7V8t2Yh6f7zPW0PXavMuPexJk9bJeh9b6sDE6H2pwMSRzWc5j70LZcGe9Wt4777ltMQmz7M/2ecvdijWkzzTXkO4USZDlsjjuW/0yx9BzTTceOLf3+sObZVJaf6vqz8rZ7WKZXwedsHj1sXLZ5k2e71qN7cb1sn/dterA+lfK/iw11Se2RZtPqI7TazLX6hzHxX4NXymvryJPzm7rxmtx+wmWDLg9fqZXkSvsh+zNhLxLP7eFTbt+LMcw1mX2/MNazeiwONm1F3M7PaewU1t3dI5obDd37fz5YTY9R+aI/mASkQAcjHkH8w6JeYfEvEOa73nHSXAaIxJ4RgIAADOQUnplSumhlNJ7dn7edNx9AgAAi+so5x5EJAAAFs/JTW14U875ZUfSMgAAOB4nO7XhSOYe3EgY135lxw5a76B1bVktHDiG2/VHh1x5CEwtbCiELjWVR+let5AmD10M7Xi5om4o9ZT6FvJlV1lnvVrXw/K2bywHoZ/DfhrCmNKZMu4sX7dyN6EMk5ee2b4wOuyru+mhd2HdA8Z9ELpQL5sz+lhWHin73gthjn0r0ZRCKOD2A2eKZWrY5/ZN5ap5ycIlw0WVLZxtEELLYsilVIYxStLGraFdv97jKfNQUwsnXbocQk295JBdF/E8+Gejdy6EzG3ZCfOPWCzv5KWM4nht+QVu4ZIxbM92GfvesYhHD2Et+lBLixp9PdWWFZWV7BrxMOe4zA4zDZr26b8Y3W6jSb5PfdX2UhtWUkoXbdFmznmzvgUwX5h3MO+QmHcM+8O8Y57nHSfhuQItpzbMxdyD1AYAAEb7HkmX7OcVU7T31SmlP0gp/WpK6fPb6CAAAFgoczH3ICIBALB42ktteI2kV9mSff9FIKX0dknPGtHaZ0n615JelXPeTin9BUn/MaX0/JzzR6fsKQAAOE7tpjbMxdyDGwkAgMXT3o2ErZzz5bFWz/lFYzed82+llN4t6XmSuJEAAMA8a/dGwlzMPbiR0CRp/5zcpovkoBzecZ+1oDK/rbvuiVRp3/UkqdOz3K2wo8aybN6fWi5eHr0s5jhZrtagIYHG0528/E6RL2brdi5Xl+/gnCW7mRRK7HgeXCxpU8vrsrI0aWv8MkMxF8/LTRX5dp5r15Rf7mMZ9tl9QnmjMnXKk719rSqn1Fn1Dlk+4tWqgx3L7YzlpbzEz9aTymTFtF4djI9dvKY9J1R2ncZ81+5Wuay/Vr6PbWU/XcuhlJH1Z3C23GkK5abytfKrMm2Ek+TX0zlLOgz5pX7tRbW+2jmJuYy1nGMvkRRzm62d4lo84DuoKbe5eUN7P8GzDRq3m+D78yRKKT0l53zPzutnSXqOpPcea6dwqvn3Tizpxryjvk/mHWLeIeYdw3XLtzOfd5yAZyLMi6Oce3AjAQCwcFp82GKbXpVSeq6knoaP+vqunPMHWt8LAACYqZYfttimI5t7cCMBALB4TmD5x5zzN7bbIgAAOBFOaPnHo5x7cCPhMKYp/9iwrYeWdUIIVH91dNkjD8/yMMJYWsVDhoqSNRYZ5eVu4h2yWqhiWDZYGb1MsuP0ckReGSeW/LFQt8FaDD/0+D5rNpSYGixbGGMIiexeby7NE8+Jj4Gfo8FaaHfDGirGslzWOzO6bI6H9OUQwuehdkrlsSyfrcL/ti+tlqt6KGXDl1g8rny2vGg6l8qvlBiyWQuv64SxPGD/g07DWDZp+kxdsDBLP0VhbGthoHFdK2GlTdtpDAFesXXDNZ0tVDh7qG6KZZj8wizfxvDJWpmqeE5SczsxXNjbSZth5Un+6B0Qyjx2ydxs/91n1ZSn+2s8h9kTwFSYdzDv8D4w72DeUe+Ajn/ecQK1Me/YbWdenOwzAgAAAAAAThQiEgAAi+cEpjYAAIAFdUJTG44SNxIAAAvnhD5sEQAALKAT/LDFI8ONhHE1lR0bd5kvP+BCiTl9XsanadvGZjueDxXyxTxtyVO5wvu+5SPGMjmeD+kfiE6o1NO/odxJWinf5/VQasmSAzshZ61Wzmng+YhhOy+llPZfTypL3/i6fk48Z3QQxqTvpbJCuSlPO1u6Xv6iH3IDB+esVFDIfct96/xW+X67W11QnvdZKxO12nAVxe717ZitHFZRhsn2Ea+hjl0kTbmdvbMNeYOSlsK2WzZeRb7dwDccnSPavVzmH/Zju1vN+a2F3uiFednObc/O0WD0NZPsPDQdZzwPTWWhJBXJb/6ZmqgU4yR/FCf9rp2nZELghMsNf+OYdzDvkJh3SMw7pBMw78CJwI0EAMDiIbUBAADMCqkNAADMP1IbAADArJzG1AaqNgAAAAAAgLERkXDE/K6S5xg1bhvy5Dx3LKYN1Wrhel5jw62tmAeXrHO+VY65ZV77OeY82f6yPJ+tysnqXCtzwAZLnq8Vcim37TjDICxfKZdt3VwOQvdadc/MczBj/7xGcy3vMiyv1bu2bbtb1WuvtdwLOZqd9XIn/XOW1xhyKzvXbbziqv0Dcu/CWBa1sPfpQ6wlnFe9P6EGsSe4es3fsBu/LuM1tHx1dJ7ncNuQp2f5th0b9+0wfrW81HCu+57H6LmwV6pO9M/adRlrGXdG5zhK5XXr417UMz/oDnTTswMa6qv7OVFxTprroMd1B1aLOoU859r+XdP33iTPkdlv2ahxI7UBmEpeZt7BvIN5h/dNYt4xbLhh3aOad5z0hyKR2gAAwPwjtQEAAMzKaUxt4EYCAGDxEJEAAABmhYgEFEZdEBOE4nqI2iSlImNpIw+vi0+3yBZC5GkQnRAOVQvziiFEZfRaESInSb3Q7sA6X5QVsnAnD+WKauVkrpSXZBECZev2z8R2y4H2MkNFOKDd6uv42AYeutgL4Wt+x7Dv495QcqcIS6uFdXlJnbCZlXrqhjJVvn8vsZNDKajOdRsfC33rhpDDgYe3nqkuomQliA4s6zPC5k3W127DObLx8upAxXnxcxRCBTtW6qmfymMpymrVPshhke/fznuxqYf7FRt6uzYmDaWxOlujz2c9fHT/9aR9PjexHVvW+IdunLKNAE405h1i3iHmHcOdltsy75jRvGN99BjgZOBGAgBg4ZDaAAAAZoXUBgAAFkHOw59p2wAAADhIG/OO3XbmBDEjAAAAAABgbEQkNEnaP593VjeKYhpRU16x3Q6qlZ4pYmTS6EWWUlgrMxTyHAerluMUS834VeWpiiFfK1s7yfoe8768FFUsrTRYsWWW0xf7Xks7iylplq85WCnfL62HMj5rts+N0SfJxySWn6qV5vEcw9jOmuWIxpzDA3LmVh+p9rl14+jcRMnyE21MYnJeXvGLxvMsQ36rjZeuhjE4MzqfVZL6oQ9L161kUy03N/TP+h5zfv06iDm9teUHjG2xnV2L8QSm9bJDuSHv08tq5bPhIrb82lpZ2ZAL65/VWL7Mv8tqn+t4XUzxvJexSzrut/ygfY44FaQ2AEeIeQfzDol5xw7mHTqaececIbUBAIBFQNUGAAAwK6ewasP83vYBAAAAAAAzR0RCk3hnKYbwTFK+bAYhvl5aydtpCrkqQpM8lMxia2JokofTDWJYnG/nZWk0WmoIUUu90dt5WKWH/8WSO53tcts4JksWmtg/4+WBQpvbo8MYpbJkk68bQ/g8tCxtWP9CyJqX5mm6Fv0cxTFZumr9sVDKHEP+mm43euidjV8RFmqhk/1bqhPRuWxfRX6Y4RrqnS/D4JauNpQltHbidVILP7TzF0tKJYuAjMfl23WtP/14/rxMVX90uJ+Hb6YQ7ufhkLUQzdBu6vtJCi89VLLpu82jQCf5LptEU7uTGNTP22HaALAjfB5qny3mHcw7xLxjv3aYd+jw845508a8Y6edecGNBADAYpqj8EAAADDnTtm8gxsJAICFw8MWAQDArJzGhy3yjAQAAAAAADA2IhKaxPKP45Y6O+g5B03r7rf/Ue00PLPB849iOaVaqlvMw/GSLJa/1pT3E3OlavlPdruqWO75YpaPGPseSyD5Mi9D43l6na3qdX9NI5fVNNwVzB3LY/SUufDe+xdz3WI+5n4r56Uw8AM/robST1YOqMhZsxJbvZts4OOx9coDi6WfPEeulotXXKe2bCuW0bK8PL+Gw35i+a3aPlReQ56zWqxn13OycR/EyofWn5ifWMtj9O4VdbSsnXCdevkmzzHsbowuO1Yb9zx6WcwHPuiz2rhskhy+Se6uT/J92thOHv5MY9rtgQVVK2NXy8evXjPvYN4hiXmHmHdIzWUs514b847dduYENxIAAAuH1AYAADArpDYAAAAAAAA0ICIBALB4YvneadoAAAA4SBvzjt125gQ3EpqMuiDaOsEH1V4fcz+eB+d1c4vcqYa8qq7V4u1aHlwv1Db2HLlOqDXrOVeeixdzwoo8PEl5yZMXq237K+U+l9ar1wMvB2yxNv2Yd9kwBr2zVgfaaz+HdWs1kJvSvixOqRvGq+/5fj5em+MFDnle3tI1z3kMbdpxLT8y+qugv1q2O7ghJANuN9RSlhpzHhXPvS3LNiax5nUt79P7eyH8xs51zDms54jauiHn18c2flZibe793secQ+97Y71hL9Ecz8MBcW9eF71Y1lDf3WtTF99JTXXjJ/lOPOh7btxnw+QR6+yuSmoDMDOeE828g3mHxLxDYt4hTTjvmGOnMbWBGwkAgMXDwxYBAMCsnMKHLfKMBAAAAAAAMDYiEpocpvzjQekKo7bb731TO3Fdvx3UECaUrERTDAf0UDIPf4rhdl4GRiFcq1YSxkP6QsmdzvUyxmmw5qFloWSMtxM29ZDCWmmesK2XeurFkDSPOrNPSFEax8PD7Lj7Z0NpKg/FCx3qbDTfz4uhcF4OqBOOpft42U7vfNnB2J+lK+W4+7mP59OvmThGyctA+dsYGmihd4phe9f9utRoTWWOZOfXS1qF4+raPvtn7PoP59pDTYsyR151zMYkflZq5aXC9e5loDxMsBYSWTRk7+N+bICK89AQilgzSerVJN+DR1QJitQGYHaaQuyZdzDvkJh3SMw7pH3O7QIhtQEAgEXAwxYBAMCsnMKHLZLaAAAAAAAAxkZEAgBg4ZDaAAAAZoXUBpRGhahMUq7soG1HtePrTpCP7Hl7TaVeiovV12vI8/JyLbH0TJHPt48ctvX8NS85FPMaB73R5Zz8Q+f5YzEXr9OxfL9YUsdLDnn/Qvc6B+R5xRxEL00Vc/wGZ8uBX36sHIPtG0LfPacvloWyUkFeYqfIT/TUxHUbk4Zz2A81r2o5on4ePD8xLtuo+tO1sWyqTuTlpXqeYxg29hzDmP+3fWO5l+618mA8d7EQr3fPofVv1Xgx+rCG99kGL3vucBij2udmy05EzGv0/NHNCfITx/2+mubZME3fe4csiStJGuThzzSm3R44rRo+Osw7mHdIzDsk5h0Lp415x247c4LUBgAAAAAAMDYiEgAAi4eHLQIAgFk5hQ9b5EYCAGDh8IwEAAAwKzwjAaONm/N7UBpQW2lCE+QnF/lkluNULPPtlq22ckNuXlGntjtyteG6Ma/KPi3+4elcH519E/MPu5Z/1bGazTGv0fMPo+6G5cwtl8tjPmD2HLWGmtJeizeHPDjPkeud84S/0csGZwb7rifV6wH3O9UKy1csJ9RObcxd9NrdK6Fu9OYtPgj2djXUrb7myZOhb5avWct3DYt7Z0fnJkrlteh9j7movo/+hdEZkn6OYrt+3uMxS2XOqtcrL2pjD/wDaG+XRvfdxXVr9cLj26akUDfN8womee7BuN+Ryf5b22ce/kxj2u0B1L6Hi88s8w7mHbt9Yt5RmOt5R8NnaKG1Me/YbWdOzNWZTim9IqX0uymlKymlB1NKb0kpPdvWWUspvT6l9EhK6WpK6c0ppduPq88AAGB+MfcAAKBurm4kSPqLkl4v6YWSvlDSsqT/llI6F9Z5jaQvk/TVO+s/SdIvzLifAIBjlFSFGR7657gPAicFcw8AQKNW5h1zNveYq9SGnPMXx/cppW+S9KCk50r67ymlGyT9TUkvzTn/6s463yzpfSmlF+acf2eiHSZVZ7MpymSS8o+HLZk2bpv7CfvxULIYjlUr7eIhhTGazcP0msKlG0IXPezaw8WK0kIeStYQZuVhX4MQcuVjEMOxaqUzrdxU7EMRVimVpW9UhqE1lskx9fKd4Rx5iGh827FlFrIW2xnYJ7+zZZuG/fi6vRAOmCyU00sQda6PjjeN15CPZT28NdabsnZsF0UYX63dcK6Xmq/3IlRx2c9tGINtu4atnSI00PoTr+Fs56/2eQzb+rXvoYvF8rbSF5q+r44qCm+cfY7ad25Ydtj941Sa+dxjwTHvYN4hMe8Y7mNB5x2nVRvzjt125sS8RSS4G3b+++jOf5+r4b8UvG13hZzzn0q6W9KLRjWSUlpNKV3c/ZF04Yj6CwAA5tvUcw/mHQCAeTe3NxJSSh1Jr5X0WznnP9r59R2StnLOj9vqD+wsG+UVki6Fn3ta7SwAYKZSzq38AFGLcw/mHQCwQNqad8zT3GNubyRomK/4aZK+toW2flTDf2HY/XlKC20CAI7LoKUfoNTW3IN5BwAskrbmHXM095irZyTsSim9TtKXSnpxzjnexb9f0kpK6Ub7l4Hbd5btK+e8KWkztL+zQFWeyrj5wBM8r2CqcmqTaOhTUR7Ic8A8l6uhobwUExktH2vLSiRtjy5Ls3S5TDzrxHJAVt6myLP0DjWUwPQ8riJX0XIB07o1FPL9vGSUH2fcT630U8wj9OTJjp2IkPvm+1BndH98bMtzbWWFrNxUN+ynZyWSuusN9x8bit96TmHM6ctnLCl025NNw8uVA75h43F2Rl+Lfn3X3sfrzSsohpJStbxde9sNZZBqOY+xjNYBOb6dUGqsyOFV/ZquXSejTFOKcZLvq0meDdP0HQkcozbnHiPnHacA8w7mHcP+ldsy75jzecfm6fkOQ2WuIhLS0Osk/VVJX5Bz/rCt8nuStiW9JGzzbElPlfT2mXUUAHCsTlt4IY4Ocw8AwEFOY2rDvEUkvF7SSyV9haQrKaXd3MNLOef1nPOllNJPSnp1SulRSZcl/UtJb+epyQBwilC1Ae1h7gEAaHYKqzbM242E79j576/b779Z0k/vvP4eDYN13ixpVdJbJX3nDPo21FZJx2n22cT70xBy3LFwtv750aFdnfUQP+YRV00RaRZK1j/joVNhH14WKhh4aKCXbBqMXtYNpaBqpXC8ilAIoRt0rT8ePhbCwLKXXYpvfZmXT4qhihY2WJTG8tC73ujST7VwP+9CCLfrWqmseD79uLoW2hbPp0dSxuPsXC6/igYW1hhjpzzEsXbut0afz1Ft7it0uHvZ9hm6Wwv7bBjLWpjsZjww39DexjBQL+PaFFLox3nY3LtpUromaXfcdIpk/62tm4c/05ijfxXAkTr5c48FwbyDeYfEvEOa83nHadXGvGO3nTkxVzcScq59Jey3zoak79r5AQAAODTmHgAA1M3VjQQAAMaRcuMzuMZuAwAA4CBtzDt225kX3EgAACweUhsAAMCskNqAQtLkub+TlFOb5tkGTTwHK494fUC7tXy2kFeVl63ET2indifNfpFDaRzPh6wJuWae89gJeYy+S2835icO7Krv9OKy0dtJUo6lnyw3sbNRbtuNOYaeTxf22be8vFheqqZ2oHFDW7Zk7V4LB+55cbbPONb982WJpFg+yffZr+Ujju5eLHm1ZLmAeau8+OL11T83Ol9TKvMTk+V9Fucs+TmxPoQx6p8pd1LkS06Sm9sQIZ22R5+D4bbhTUPerqTyumgq7zRJKUZHeiSAltW+95h3MO8Q8w7pBMw7eCYC9jFX5R8BABhHGrTz02qfUvqSlNLvpZQ2U0qvtWWdlNK/TCl9MKX0Zymlv9Pu3gEAwFFpa94xT3MPIhIAAIvnZKY23CXpWyR9taTztuzrJX2KpDsl3SDp3SmlX8s5/3HbnQAAAC07uakNRzb3ICIBAIDRVlJKF+1n9TAN5Zw/kHP+A0m9fRZ/jaR/k3Pu55wflfSzkv7GFP0GAADzaS7mHkQkjGu/+uXjLJtEU7uT5Co35US7CW56lbWVLa8rXEm1nMJavdvqvYfvDDz/L2ybrN0iJ82Oo79W/mJpvWpnacNzwsK69oloyjGs1e1dGT2YyT66cbw8n84V6W1L1p9Ya3nb8vts3Zif6Hlxfh5i7exOr2y3H2pK+7n18xdvVXYsv65zNea+lpv5NdS7WF18HavnXLuGVsNx2j4Hsea1JVZmz+2MuYtlumbx/JBajqHl8RbLPQ81XLjJEz0neb5K03dA0+U1zffVcTw/Yb8xGNWP3LBsXMPtv0fSy23JD0p65ZStu6dK+mh4/xFJL2x5H8BcYd7BvENi3iEd07wDk2lj3rHbzpzMPbiRAABYOElZacrwwDT8a/4aSa+yRZv7rp/S2yU9a0Rzn5Vz/thUHQIAACdSG/OO3XY0J3MPbiQAABZPe89I2Mo5Xx5v9fyiKfZ2t6SnSXr7zvtP3PkdAAA46dp9RsJczD24kdCGSUKHx02RmKSdafbZ1GZD+HStNGRv39X2XbezPboLHrIWw+RqIVhxPQtJ61oYYSy9FEPkJGnpWiitZGF5XloplkzqbB7wiJEQujjwELrVqh0PUZOX6olhaNdtMEPYoIfe1cpEhXC7WjjkASGaZUNhPSuJVOtDrHpkxxm3rZXNslC8TgilzFZCKpb1Gr4P5ZPOeQmp0M5auayzbiGasQTYanmcOZyjbr88Zg+ljCGP8nDSHK892TIdXkvpTGOXqz0olWGS773TW3Ly5yR9a0rp5zR84NHXSPrS4+0ScHLUStyFr+WOl+Nj3sG8Q8w7hm8a5h08KQ9Tzj24kQAAWDwD1Z8Xc5g2WpRSeomkN0q6OHyb/pqk78w5/3+S/p2k52v4dOUs6dU55/e22wMAAHAk2ph37LbToqOce3AjAQCwcFJu4RkJLZdgyjn/iqSnjFjWl/Rdre4QAADMRBvzjt122nSUcw+CWgAAAAAAwNiISDiMtnKXDyrh1lT+cdzc5YMc9pkNvmpM8zqoHGVc1VPm7NZWLFHk5XbijjpbtsTK5ij0r2N5cIOVsF2tpE7Zwe71qoN+mL2zlrfnOYhxWWjH8yO9jE9xu2/gZapCf2wzL0FUjK2nzDXknnq7cQw857F2/sLi3g2WGxjzD73Elo17fAbH4NzoHEypLE1Vaye+3bK8Sj8P8b3lj6atw+UY1q7L0KyPc63dST6rh32WwGGfxXLQ/ifpz6TPZRjVdlYLD1ucbnMAs9H4fWmYdzDv2G+7UzPvwNFpY96x286c4EYCAGDxtFe1AQAAoFm7VRvmAjcSAACL5wQ+bBEAACyoE/qwxaPEjYTDaKuk4yT7maY05CQhyOMum6A/9TDCUFbIy9J4mFx43z87OuxMafzYaS/xE8P28mq5qFbOKYQqemjZ8pXyF/0QutjpNYTiefiahyaG8aqF04Xx83A/D2eLx518nzbug+XR56goK2QGFmaZQqkqL1sVQ/j8uHxMYuml5KGBVpYphQvQS3cV6/p16uMetvUyUfGc1Eqh2rg33liOUYwHheYe9nN8VN8dk2j6jjxsGka2/wLACMw7mHdIzDuAtnEjAQCweNp4ejKzMQAAMI6WqjbM09yDGwkAgMXDMxIAAMCsnMJnJFD+EQAAAAAAjI2IhMOY5EbRNM9TSCNeT9qHcded5riiCcrY9S2/rpY/1hudL+Y5agUvBxTyx2p5eSGnsO95eJ7TFxd7TlpTzprnZBYlfspFtb6HskJNz5vw8RlYCaK8FvL9vO9eBim8H6xYealY5sjOQWfdO6+R6+bQbn+57Lu301jqqKncqHcn5mvaGAzOWM5jyF2s5UPG07fUfM3EclyTlCibSltlG2fhqPpARAKAHfG7l3mHmHdoweYddq5rz+TAbJzCiARuJAAAFg83EgAAwKycwhsJpDYAAAAAAICxEZEAAFg8WdPXYp6ffxQAAADHqY15x247c4IbCU2yqpM5bl7xQfm+k6x72Nrrh805niSlqq3nOXgZX4+RiXlgDfWJa7l2lqe3FPL4+mvWodCH5cteu9jabdiHi33y/nWKWtS+nbUbPqWDhnb8uDwnM+bbeX+8ZnNM0WzKtfMxaBwTzy0NuYBpuzk4Kh7LQeNejKfXBw+bev1rv07jeHWsf4PVquHktZ5NWbu7oa+TmOT5KrUOTdDOuPucpD8z+gOZWijD1EoZJwAnm3/3M+9g3qH5nnfgeLQx79htZ15wIwEAsHh4RgIAAJgVnpEAAAAAAAAwGhEJbWirFONhw56nSZE4bMnHttIwfNV+00LbZQxZ83JJ2xYquByWeehdLBVkn4jOZvm+dz6UMvI8KBvL7mbVcO9cuXJOo8sBdbYsnC2EwnU3yuPqnxmEZV66yEokbYbldguxVn4qxOINfJmFXTYqDttrbFUv86qNjzVThDn6uDeUkKqVm4qlsqxsVi2EtR9CWC2ssejPNJ+ppu1mUfL1ILOInpzku2S/7UatM8j1umWTGszPvwoAaEmcWtT+uY15B/MOzWbe4eUfKel48rUx79htZ05wIwEAsHhIbQAAALNCagMAAAAAAMBoRCQAABYPEQkAAGBWTmFEAjcSmiTtn387Se7yYZ9BcFA7k6RKTVJyssm4ucvTXP8N7ebGcbdcMs9d3Bq9jyKdyftuMTsx/7BvZXxqpYxiaqDnEYbyUl4OKC+VyXjd9WrbWt5g0LtQJtv5PmPpoMacf6nMB2x45kXnuu3jjCUSxjJay7ZsMyQLek5ZP41873mNnfXRY9uYwzrJZ8HzIxs+U34ojeUfm/Y/zbptlas9is/8NGme4/ZH4kYCgNaVz0xg3sG8Y2f5Yecd/IlZLKfwRgKpDQAAAAAAYGxEJAAAFg9VGwAAwKxQtQGFrP3DjsYpSRbbGLX8oOtk3JSJSfY5yT6ayjgeVdj1IT87/rkdWAhdLHvU8XI7vbCefSIGVqonNYXeWdmjfmzLO9gQC5Q8vC5utlku669Vr7vXrPTUSsM+vRTVkoUcNoTixVDK7ONjfS+jsxoO2rarhWuuVB32sEYXx8hLdxWhlZ6uYOK5rpUAa/j81VJwDtjPvm3u0+6xlH8c14FpBodsa5zvwFHr5CzlcQe/oQ0AGMPA/o4Owhygu2V/45h3nJ55R1GqvLEZzLs25h277cwJbiQAABYPz0gAAACzwjMSAAAAAAAARiMiAQCweHhGAgAAmBWekYDCqPKPR6Wt0nCTmEX5x0meKXFIzaUhy9z4/rJ1wZ6ZEHluYIzh8WWeGxhLNg1snzFX0Pfv+X/xWPrnLPcq5PjVljXwnMJk+ZtxvGrrhjxGL7uUtrxuVWhn28olxWV+Au1QUr8T1lWjIj/xsM8r8HYmcdjnorT5XTPu5/OovleaTLPPSZ4xozZCDOfnjzmAk8vLNmpl9LrdDeYdJ33e4Zseer6ABdNSasMczT249AEAAAAAwNiISAAALB4etggAAGblFD5skRsJAIDFw40EAAAwK9xIQCGrSlNpys0dd9l+y9ta97AOe61OcxyT5DmPe5wHtRNzAz3XranM8JrVOY7lgG27es7h6E51Qg5k/4wXTPY6zNW6qWf5kavxwMrNutc6tm7Vbrba0/L8yHAstX2eDbWVNw7Ijop1oX3V2PVtTzjUyPdT5SIe9tke01zDTcsneV7BUX3PjLtsFp9jADjlfN7RJFleP/MOHX7e0fC4h9pzuABI4kYCAGARDQaa6OmaI9sAAAA4QBvzjr125gM3EgAAi4fUBgAAMCukNqAQyz+OG4I8SXiyayu0+ihCl315W+24w47tBGFnB5WKbOpPbhj3xpB7WzeG+3lKRBrYTuPbni1KYacWmuhloYpQwWSllfzmZxrxWlLnerXPvNSwD0mdUMLJy0sVx3nQ+Zuo7N+I7XxbXzbJ5+YoruGDHMXflWnGcpJ1j/IzP6pf3EgAsOAmmnesnI55R+1YimbJUcAROoU3Eij/CAAAAAAAxkZEAgBg8Qzi03KnaQMAAOAAbcw79tqZD9xIAAAsnJwHynm6BxZNuz0AADgd2ph37LYzL7iR0LZpnjMwSV7xYZdNYppyb4dt56hK8DVpq5TfJKl3De34swSalHmOnlQ4ep9e6alpbOvlpcIurHySP3+ieD/J92LTuZ5mnNu6Zka1eVC7s7pOR23n27b1TJc2n59w2Oe/AAAOpfFZC/74hKZ5x/jN7NOJMdvp8YcAOCm4kQAAWDykNgAAgFkhtQEAgAWQ1ULVhlZ6AgAAFl0b847dduYENxIAAIsnD6TBlHmGc5SnCAAAjlEb847dduYENxKaxAiVw+btTpP/e9j85Lbyipvy6KfJUz+q3OqmdZsc1TMlooZzW3sGwWH37/uY5HuoYWz9uQex3dqyo/osHHZQ2rpmJnnuQVuft2m09SyIccfroH0cxXMPsv0XAAAAM8ONBADA4skt5Cq2EaIIAAAWXxvzjr125gM3EgAAi2cwUPZwn0nNUXghAAA4Rm3MO6S5mntwI+Ew2irpeFBI72HDig8bzj2rlI084vU0+zxo3abtjqIc5UH9Ces2ll06qJ0x91FbPsm15/2L32/TpA7MIj1nGuPeEJ6mnGFTO039aWvcD9LWZ+ywfQcAAMCJxI0EAMDiIbUBAADMCqkNAAAsgEGWEjcSAADADLQx75Dmau4xSVA1AAAAAAA45YhIOIy28uanaXcSR1FGsq3yikeVY99WbneTWeWpN7XT1GZbJQtn8JyI1p7zMem6TduN+/k7qmcOTPIsjybHUXZzmu+ySb+vRq2fB5qsBuqoNgAAAA7Qxrxjr535sLARCSml70opfSSltJFSekdK6XOOu08AgNnIg9zKDzAJ5h4AcDq1Ne+Yp7nHQt5ISCl9jaRXS/pBSZ8t6Q8kvTWldNuxdgwAMBt50M4PMCbmHgBwirU175ijucdC3kiQ9Pck/Zuc80/lnP9E0rdLui7pWyZqJYWfw2yTNAzFjT9R0zJf3tTuQfts2kfTdpO027SPJgft87Bj2fTj7R62HXfYvjdt19a5nbTdcft+kMNu55r6Psm6k4zfuNflNOds3OvyoP40jUGTaa7TcZcdtM8mTWM0h1JKX5JS+r2U0mZK6bW27JUppYdSSu/Z+XnTMXUTh9fO3AMAgJYc5dxj4Z6RkFJakfRcST+6+7uc8yCl9DZJLxqxzaqk1fCrC0faSQDAkcqDrDzl05Nz+09OvkvD/6n8aknn91n+ppzzy9reKY7epHMP5h0AsFjamHdI8zX3WMSIhCdI6kp6wH7/gKQ7RmzzCkmXws89R9Y7AMDRy1nThxe2+8c85/yBnPMfSOq12jBOgknnHsw7AGCRtDLvmK+5x8JFJBzSj2qY17jrgqR7Bhsb+6+9X8jvKG1dC/uF4I+z7KB2mrabpN22HPdYTtNOk8Oek0naabPd1MKy/ZYftp22zOJcH3af44T5j1p3mnPU1E7Tdoftz0H7nLDvo76nt7U19XfGtrYkaSWldNEWbeacN6drfV9fnVL6fEmPSPrhnPOvHcE+cDJMNu8AAJwIRznv2GtnTuYei3gj4WFJfUm32+9vl3T/fhvsnJS9E5NSuiBJ97zyR46oiwCAll2QdHnn9WO/rf96S0vtfrekH7Df/aCkV/qKKaW3S3rWiHY+K+f8sYb9/GtJr8o5b6eU/oKk/5hSen7O+aOH6DNmb6K5x8h5xw8y7wCAOXFU8w5pTuYeC3cjIee8lVL6PUkvkfQWSUopdXbev27MZu6V9EmS/lTSUyRdab+nC+GChuGYjNH+GJ9mjE8zxqdZHB9p+L0tScrDBMNH29hJSsn/5VgK/wMY5Zz3fQ7POHLO94fXv5VSerek50niRsIcaGHuca+qa5nP/Wh8LzZjfJoxPs0Yn4PtjtEn6YjmHdL8zD0W7kbCjldLemNK6V2S3inpZZLOSfqpcTbOOeeU0n07b6/knC83bnBKpbQXZ8wY7YPxacb4NGN8ms1qfPxfjo9KSukpOed7dl4/S9JzJL33qPeLVh167rEzCf14CGXlc78PvhebMT7NGJ9mjM/Bwhjdl4/gqYi75mXusZA3EnLOP5tSulXSD2n4kKP3SPrinLM/BAkAgJlIKb1E0hslXRy+TX9N0nfmnP8/Sa9KKT1Xw4ch9SV9V875A8fXW0yKuQcA4KQ5yrlHOsKbKXNt518FLkm6gbty+2OMmjE+zRifZoxPM8YHi4jruhnj04zxacb4NGN8DsYYlRax/GNbNjV8qMWRh5XMMcaoGePTjPFpxvg0Y3ywiLiumzE+zRifZoxPM8bnYIxRQEQCAAAAAAAYGxEJAAAAAABgbNxIAAAAAAAAY+NGAgAAAAAAGBs3EgAAAAAAwNi4kTBCSum7UkofSSltpJTekVL6nOPu03FIKb0ipfS7KaUrKaUHU0pvSSk929ZZSym9PqX0SErpakrpzSml24+rz8cppfS9KaWcUnpt+N2pHp+U0pNTSv9+5/jXU0rvTSk9LyxPKaUfSindt7P8bSmlZx1nn2clpdRNKf1wSunDO8f+wZTSP0wppbDOqRqflNKLU0q/mFK6d+ez9JW2/MDxSCndnFJ6U0rpckrp8ZTST6aUzs/0QIAJMe8YYt4xGeYd+2PuMRpzjxLzjsPjRsI+UkpfI+nVGpb3+GxJfyDprSml2461Y8fjL0p6vaQXSvpCScuS/ltK6VxY5zWSvkzSV++s/yRJvzDjfh67lNLzJX2bpD+0Rad2fFJKN0n6LUnbkv6ypE+R9L9Jeiys9nJJ3y3p2yW9QNI1DT9va7Pt7bH4+5K+Q9LfkfTJO+9fLunvhnVO2/ic0/A797tGLB9nPN4k6VM1/M76UkkvlvSGo+owMC3mHQXmHWNi3rE/5h4HYu5RYt5xWDlnfuxH0jskvS6870j6uKTvPe6+HfePpFslZUkv3nl/g6QtSX8trPNJO+u88Lj7O8NxOS/pA5L+Z0m/Lum1jE+WpB+T9JsNy5Ok+yT97+F3N0jakPS1x93/GYzPL0n6SfvdmyX9e8Yna+dz8pWTXC8aToqypOeFdb5Y0kDSk477mPjhZ78f5h2NY8O8Y/9xYd4xemyYezSPD3OP0WPDvGOCHyISTEppRdJzJb1t93c558HO+xcdV79OkBt2/vvozn+fq+G/FsTx+lNJd+t0jdfrJf1yzvlt9vvTPj5fLuldKaWf2wlRfXdK6VvD8qdLukPl+FzScFJ9GsbntyW9JKV0pySllD5T0udK+i87y0/7+LhxxuNFkh7POb8rbPc2Df+gv2BG/QTGxrzjQMw79se8YzTmHs2Ye4yPeUeDpePuwAn0BEldSQ/Y7x/Q8I7uqZVS6kh6raTfyjn/0c6v75C0lXN+3FZ/YGfZwkspfa2GoajP32fxaR+fZ2gYPvdqSf9YwzH6FymlrZzzG1WNwX6ft9MwPj8m6aKkP00p9TX87vkHOec37Sw/7ePjxhmPOyQ9GBfmnHsppUd1OscMJx/zjhGYd+yPeceBmHs0Y+4xPuYdDbiRgEm8XtKnaXjXEpJSSp8g6Z9L+sKc88Zx9+cE6kh6V875+3bevzul9Gka5pm98fi6dWL8dUlfJ+mlkv5Y0nMkvTaldO/OZAcATjPmHYZ5x1iYezRj7oFWkNpQ97CkviR/uu3tku6ffXdOhpTS6zR8eMjn55zvCYvul7SSUrrRNjkt4/VcSbdJ+v2UUi+l1NPwwUbfvfP6AZ3u8blP0p/Y794n6ak7r3fH4LR+3v6ppB/LOf9Mzvm9Oed/p+FDsl6xs/y0j48bZzzu1/AzuSeltCTpZp3OMcPJx7xjH8w7RmLecTDmHs2Ye4yPeUcDbiSYnPOWpN+T9JLd3+2E1r1E0tuPq1/HZafkyesk/VVJX5Bz/rCt8nsaPhU3jtezNfyyPg3j9SuSPl3Du7m7P+/S8Omtu69P8/j8lqRn2+/ulPTRndcf1vBLNo7PRQ1zyk7D+JzVMIcu6qv6bj7t4+PGGY+3S7oxpfTcsN0XaDim75hRP4GxMe8oMe84EPOOgzH3aMbcY3zMOxqQ2rC/V0t6Y0rpXZLeKellGpYG+anj7NQxeb2GoU9fIelKSmk31+dSznk953wppfSTkl69kwt0WdK/lPT2nPPvHE+XZyfnfEXSH8XfpZSuSXpkN5/zNI+Phne4fzul9H2S/oOkz5H0t3d+lHPerX39/SmluzT8wv5hSfdKestxdHjGflHSP0gp3a1heOFnSfp7kv6tdDrHZ6fu8jPDr56eUnqOpEdzzncfNB455/ellP6rpH+TUvp2DR869jpJP5NzvndmBwJMhnlHhXlHA+YdY2Hu0Yy5R8C8YwrHXTbipP5oWFv1o5I2Nbyb9ILj7tMxjUMe8fNNYZ01Df/wP6phbdVfkHTHcff9GMfs17VThonxydIwNPW9GpbKeZ+kb7XlSdIPaXjHd0PDJ93eedz9ntHYXNDwQWIflbQu6YOSfkTSymkdH0mfN+I756fHHQ8Nwwn/H0lXJF3ScHJ0/riPjR9+mn6Yd+yNA/OOyceMeUd9TJh7jB4b5h7leDDvOORP2jl4AAAAAACAA/GMBAAAAAAAMDZuJAAAAAAAgLFxIwEAAAAAAIyNGwkAAAAAAGBs3EgAAAAAAABj40YCAAAAAAAYGzcSAAAAAADA2LiRAAAAAAAAxsaNBAAAAAAAMDZuJAAAAAAAgLFxIwEAAAAAAIyNGwkAAAAAAGBs3EgAFlRK6UxK6U93fs6E39+cUrovpfTbKaXucfYRAAAsDuYewOnBjQRgQeWc1yV9o6RnSnpVWPR6STdI+qacc/84+gYAABYPcw/g9Eg55+PuA4AjlFL6x5L+vqTPk3S7pJ+T9LKc8z8/zn4BAIDFxNwDWHzcSAAWXEppRdK7JJ3f+fkTSZ+f+fADAIAjwNwDWHzcSABOgZTS8yT9rqQNSZ+Sc/7wMXcJAAAsMOYewGLjGQnA6fCXdv67JulZx9kRAABwKjD3ABYYEQnAgkspfYa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-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((fr_pca_ann_mask, fr_pca_ann_mask0), vmin=-15, vmax=15)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For more flexibility, `delta_rot` can also be set to a tuple of 2 values instead of a scalar. If a tuple, it corresponds to the PA thresholds for the innermost and outermost annuli in the image (linearly interpolated in between)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:40:39\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 10, FWHM = 4.603\n",
-      "PCA per annulus (or annular sectors):\n",
-      "Ann 1    PA thresh: 22.62    Ann center:   2    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.156243\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 2    PA thresh: 11.00    Ann center:   7    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.332116\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 3    PA thresh:  8.64    Ann center:  12    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:04.068793\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 4    PA thresh:  7.63    Ann center:  16    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:05.393302\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 5    PA thresh:  7.06    Ann center:  21    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:06.471285\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 6    PA thresh:  6.71    Ann center:  25    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:07.404808\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 7    PA thresh:  6.46    Ann center:  30    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:08.529390\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 8    PA thresh:  6.28    Ann center:  35    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:09.508413\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 9    PA thresh:  6.14    Ann center:  39    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:10.420697\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Ann 10    PA thresh:  6.17    Ann center:  43    N segments: 1 \n",
-      "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:11.334242\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done derotating and combining.\n",
-      "Running time:  0:00:11.706331\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_pca_ddrot = pca_annular(cube, angs, fwhm=fwhm_naco, ncomp='auto', asize=fwhm_naco, delta_rot=(0.2,1), nproc=None, \n",
-    "                          svd_mode='lapack', imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's compare with the image obtained with a single PA threshold at all radii."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((fr_pca_an6, fr_pca_ddrot), dpi=100, vmin=-5, colorbar=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The residual speckle noise is now lower in the innermost part of the image."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.5.6. PCA in a single annulus"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Once a companion candidate has been identified, the fastest way to recover (and hence characterize) it is to apply PCA on a single annulus encompassing the companion candidate. This is used in particular for the characterization of companion candidates with the negative fake companion technique (see `Tutorial 5. Planet forward modeling`). The relevant function is called `pca_annulus`, which requires the radius `r_guess` of the annulus to be provided, and its `annulus_width`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ncomp_test = 5\n",
-    "pca_ann_test = pca_annulus(cube, angs, ncomp=ncomp_test, annulus_width=3*fwhm_naco, r_guess=rad,\n",
-    "                           imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(pca_ann_test, label='PCA annulus (npc={:.0f})'.format(ncomp_test),\n",
-    "            dpi=100, vmin=-5, colorbar=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's now use `pca_grid` to search for the optimal $n_{\\rm pc}$ that maximizes the S/N ratio of a given point source. `pca_grid` encompasses both the `pca` and `pca_annulus` function, depending on whether `mode='fullfr'` or `mode='annular'`, respectively. This will allow us to answer Q3.9 we posed earlier: <font color=orange> Is the optimal number of PCs the same for full-frame PCA and PCA in an annulus? </font>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:40:52\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done SVD/PCA with numpy SVD (LAPACK)\n",
-      "Running time:  0:00:00.026891\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Number of steps 31\n",
-      "Optimal number of PCs = 13, for S/N=9.277\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Coords of chosen px (X,Y) = 35.5, 58.5\n",
-      "Flux in a centered 1xFWHM circular aperture = 114.815\n",
-      "Central pixel S/N = 11.529\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Inside a centered 1xFWHM circular aperture:\n",
-      "Mean S/N (shifting the aperture center) = 9.277\n",
-      "Max S/N (shifting the aperture center) = 11.882\n",
-      "stddev S/N (shifting the aperture center) = 2.406\n",
-      "\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:41:28\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done SVD/PCA with numpy SVD (LAPACK)\n",
-      "Running time:  0:00:00.005353\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Number of steps 31\n",
-      "Optimal number of PCs = 7, for S/N=9.915\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Coords of chosen px (X,Y) = 35.5, 58.5\n",
-      "Flux in a centered 1xFWHM circular aperture = 201.521\n",
-      "Central pixel S/N = 11.055\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Inside a centered 1xFWHM circular aperture:\n",
-      "Mean S/N (shifting the aperture center) = 9.915\n",
-      "Max S/N (shifting the aperture center) = 13.764\n",
-      "stddev S/N (shifting the aperture center) = 2.515\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# full frame\n",
-    "res_ff_opt = pca_grid(cube, angs, fwhm=fwhm_naco, range_pcs=(1,31,1), source_xy=xy_b, mode='fullfr', \n",
-    "                      imlib=imlib_rot, interpolation=interpolation, full_output=True, plot=True)\n",
-    "\n",
-    "# single annulus with no PA threshold\n",
-    "res_ann_opt = pca_grid(cube, angs, fwhm=fwhm_naco, range_pcs=(1,31,1), source_xy=xy_b, mode='annular',\n",
-    "                       annulus_width=3*fwhm_naco, imlib=imlib_rot, interpolation=interpolation, \n",
-    "                       full_output=True, plot=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For full-frame PCA the optimal npc is found to be 13 (as already seen in [Sec. 3.5.2](###3.5.2.-Optimizing-the-number-of-PCs-for-full-frame-PCA-ADI)).\n",
-    "\n",
-    "For PCA on a single annulus, the optimal npc is found to be 7, hence lower.\n",
-    "\n",
-    "Let's plot the final images below. Note that since we ran `pca_grid` with the `full_output=True` option, both final images and optimal number of pcs are returned (among other outputs)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "_, final_ff_opt, _, opt_npc_ff = res_ff_opt\n",
-    "_, final_ann_opt, _, opt_npc_ann = res_ann_opt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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3AVy+psYIIYQQomfp15wFkiEIIYQQQgghhBDCocgCIYQQfUcXrROFEEIIIXKRdaI4OvJ0vu3sbcDKvdNTuQZy6k1pkle4H0C+8zRz7L6co8Dp6gE0q+YY1HbOPWB17qzXbw4u3TYAaJHXfaG+9H6A17EXG77Tm6Qjtxp81qpbjTsANArJ9lQuhJYdQN+evDwJ3JeFZnY9LFa3x+TzytO1p8ZkyNRZRy5Wh1+eze7bVD9TWRuRlcoVwdeYmVM8h915Udt5Ttu+zs3fwdtoTtsx4nmQGgd7/FQ9tm20jfMbmOuR61lNPoGYk7Mgr55U3oYNkN+1YgGt1ARYbR29pRsUQgghRG/SjXVHp57eWntIhiCEEEIIIYQQQgiHIguEEEL0HW0U0F7j+/B2j2UkFkIIIURv0o11R6ee3lp76GXB0cBjmCctyQvHXSZUNy8E2EW5cHs4XDhHemDDmblcscYWiEmDWD7gSlIMMtvX2dD1yoQ/aH0k+yJL1WPCsjnqp1X130uzyee88PPQ9m1nG8j6mJFFUD2NoezweJZmoG7qafpjpOQNRgaQKmva3hzMD8+3Fo08fizxcNXkWGrynGFbQ9umvJB7rofD9W3/sSwiJd8x8yIlETDVpm0Mqaw5FQ77tzIJlobwMdtGEpOyvqQ5bckrmyc7YPLkA8s9jlYqH1iN7GC9JAqtLmgHu6E9FEIIIUT/0411x0I9vYReFgghhOg7lLNACCGEEOuFchYIIYQQQgghhBDiuECRBUIIIfqOiLBm+6HYY6GAQgghhOhNurHuWKinl9DLgmNNXiRJjl3dktvtppx6eVvLjjLbIRrdPe+XtulLPke2WSzacr4i1ldbXXtjyDeI8yRYLXZtC2n552xBf4zqBGn7jW48pVU37WP7Q9aqu33pmCnrxOEc6708S7o2tx2Z2PNK5WLg/cwx2Z6R8xK4c6OyefkNuO32OKvLWeC/N0ZtX2bPEcCPEZ9nMKFdPCac88FuT1lzlrPzP6RyFphcA9xWO794/PLIs4QE8u8Pdl6sJV9AXk6VdGFT9ugPuSo62sE1yhCQkwxCCCGEEGKebqw7OvX01tpDMgQhhBBCCCGEEEI4FFkghBCi7+hOgkO9TxdCCCHE8nQvwWFvrT30suAoSIWx2xDcPItD5FucLWel6Oq1IcAchs31mO2pKk3ZFtm4sQ1eLGTb/QUTms7yhVQ4/Cr6y4Z4W/vDznGSz6mweqqnMWLKUrh30bQ9FYpOfWtD8NmeMRXybsLRU2H+1laRrRIb2QPPloJ5Yezc9uagOTyNUWmaxrq49Oel6nXHGPAdb+UEJZKY2PbyHGlQ+4b2tU1Zv43H2h4nZcFo9k2NLY1fnnVitHaby0g6yjNJRSzFsH3A88nJbKh9LNNgaUhqvhnceefcKwDft3xfySN1D1r5rquTN+TQDb/jbvglCyGEEKL/6ca6Y6GeXqK3WiOEEEIIIYQQQogNR5EFQggh+o5WDGitJhwiow4hhBBCiOXoxrpjoZ5eQi8LhBBC9B1tFNaclbjXQgGFEEII0Zt0Y92xUE8voZcFK2Wl1l/L5R04ypdFKZ14joVfbp4Etke02maqpzmQra+2+QtS9dAx2FKwZXTbvC2SHr1g9fuRNO8mJ0C7vEyugRyLSHsMzh/A12teroi8nAWcTyBPU97m9pl62ZqwZHTtPCbMwOFk39p4fnvsubGWPm8+cd9yngKLzZGRGnfqL6v1z837gXyLRps/gHNrcB+4fAuUP8BOxdQLYLYuzbFZtLamnJODr0fbnuXyJKSsOm09ZjxTuT74/mXr4WfXUVq7rhftWEB7jUmC1rq/EEIIIY4PurHuWKinl+it1gghhBBCCCGEEGLDUWSBEEKIvqPVhXDAboQTCiGEEKL/6ca6Y6GeXkIvC4QQQvQdSnAohBBCiPVCCQ6PRyIW9cdWPrImPW7OvlxvXj4BV+UqvNJTOnujSU7p6Fl7bbXrVE/b6M+X0167PAU5+QN4X9a1u2Kk0ebzLM9m5yVoDibfS3PZ+RUAr/Hm/mrT1TRwOGlEbdy/JbTt43NOa+eN5j0nP0WR6ik0fNnGkKlnmZeW9jwrk9mTNpUropWTn4LyF9h5YPX4ANAaonpJW59VT6ewqYfa18rJfcDjZ+cUt8/2T3PYH6M8ReNg+iS0s+cwH79I42fHs9D0x+D8IjBziPNl2PNu01wr0HWUl1tjNbhcH8vcP932LuV8EUIIIYQQq0cvC4QQQvQdbYQ1ZxRu6+2EEEIIIVZAN9YdC/X0EnpZIIQQou9oxQJaa8wovNb9hRBCCHF80I11x0I9vYReFuQRsHTY6zEKjc2zPExtM21g+zMOZ3bHYDu2weQzhyuz7V3DWPO1BqiskR40KCy7OuHrcaHrKZtA/4u8kGV7LgWyFGyTZKE0l3Rm2hIy2TdP6tDZvvR+QDqsfXaHGTQ6D2vhlzpHDgXPscm0YeN8XiypsNtLs7Rt0O8bB5PtBZYamPlmzwPwUgfAz022KrTt4Tlcnvb11kes3aYva2UagD/vkAqzT7bxOaeuayvfybHFLFEf8LVq+4TniG1rysqR6rFSH54IeZIKvlaLNWTCsoTce9AK709LfXfkbeutl+tCCCGEEMcVelkghBCi74gIaw7li3pbIYQQQogV0I11x0I9vYReFgghhOg7JEMQQgghxHohGYIQQgixSeiG33GveR0LIYQQojfpxrpjoZ5eQi8LVsjR2iXm2RimLA9jdtmUpZnZxjkKWKNcnsoua7XibOHHWnBbNsxQPUYLzppy1tLbc0nZRbI+vm0/+8K1bUknVCZ8PZxPwFkXUr83jZ1ehWzvYiA9vMnjwOfF9o3W6i4vf0Da9pHtB0176P5htf2VKb+tSbaP1cnsvA3cvobJEYDot5XM+OblfwC8Dp/HumLa3qD8Adx2O/e4rWltf7JvecZfgI2h7Bswj4Oz7aTrpjZq5swEC/T9V5vnIjXfS9mhZnxeuba7VK+9BlN2m/a8cvIQAL69nLfB5lDI67tU+5aLrluhTexiW9diZSuEEEIIITLRywIhhBB9RzsGtHPfsKysDiGEEEKI5ejGumOhnl5CLwuEEEL0HZIhCCGEEGK9kAzheGc1YbR2Nx5vG9a7msPn2qh52IbOhkGznMGGjXNIOR+Dw5BdWROuz9ZsLH2w9myp7skLvaaQ7YGDbVOO2s7h3SsMVV7OAs5SOeJjtp3UAT40u1XODtdnq8lU3LiVYlAbrKVgmaQhHFLubA1ZAsPh52asU+NZST6zbSDXY60wU/PSdFdlmiUw2e1jez+2u7Tdx2OSR2q+2ybReVUmjeUh7cfnWTLjwvPJnmeeVKWz3dRDUpWUbMNIYKxEqNPepOxy871lrl2WF9lj8Hxqc7fbqdct69lA/wohhBBCiK6ilwVCCCH6jnYsoL3GjMJr3V8IIYQQxwfdWHcs1NNL6GWBEEKIvqONgNYaww664ZcshBBCiP6nG+uOhXp6Cb0sEEII0Xd0Eg2tNbKgtx7YQgghhOhNurHuWKinl9DLgpVylOOWZ524mn3bpOF2OnZ2bmMrPrO9laOv5raxVt3q7Hket6rZOmjG5lCg7knlVLB2jqxNt3r06mFfU8r20do10kGLtWz9ubUtBHx/saa8OkFtMH3C1oDF6eRzeXoZK0Bz3im9t5kXTbLMTJ+nOQbp/pnSbHIg1tLbvs2z/gP8uYSYfZ4xdZ3QWG8xOTGoPTzfnaUf52Iw35s0JqlxMJvZEtLuy1r+vPnfHPTfre6f81owdi6GJs2nhi/rbFcph4LtryL1D98frJVoi/IiuHvAMjkwjvb+uZy9rBBCCCGEOHboZYEQQoi+o9WFcMBuhBMKIYQQov/pxrpjoZ5eQi8LhBBC9B1tdCHB4VHYF4UQfhzAn6Bj9lIC8Gcxxn9YU0OEEEII0dN0Y92xUE8voZcFQgghRBcIIQQA/wTgsTHGb4cQTgPwvRDC+2KMRza2dUIIIYQQq0MvC44xeTkqUvkM2KvcjI7VkHe2mcKk42U9uvWlL5C22fqzpzTurNM2Zdm7Pe9FGm+rGo96zi0QqF6rUWbv9vKUzTXg6+HcA04bTrpx2wbO08A4DT71V33UN9DmWyjPkO6/bPvdb2ONuR3g+kjILFua9Xs1hrmeBO4fnkOubCVb218b8+dsNe6A18C32jTWpv9iIV+MXpmw2nm/LdJdzM6ZVP4Oc8wytbUx6ttXmsnW69s8Bazz5/bYcSlQfgN7LuUZvw00D+w1xzkwUikCzC9S+TLMtVBoZs9LhuepyyHCw7eaCDq+f9l8C5yPwtzLFs8xY+q0YgGtNb7hP8r9I4At85/HABwAsMydRQghhBCbmW6sOxbq6SV6qzXLEEIohhD+OIRwSwhhNoTwwxDC78//NWehTAgh/FEI4Z75Mp8IIZy9ke0WQgixvkQEtNf4EztvPSohhDH6qS55zBgjgGcDeF8I4TYAXwDw8zHG+lLlxeZAaw8hhBDL0Y11h1l79Ayb6mUBgFcC+BUAvwbgvPnvrwDw66bMKwC8FMAvA7gMwDSAj4UQKFe8EEIIsSwvAzBBP69aqmAIoQTg9wD8ZIzxVABXAfh/IYQd69RWcWzQ2kMIIcRxyWaTITwCwAdijB+e/35rCOFnATwMWNSL/iaAP4kxfmD+dz8HYB+AZwJ4z6qOFrEY4poXfu7t4agOfjlktnOUCYcEW6lBKlzftIH3a3JZE87cJomCs06kbXNbKCzbhrmzXaNpD8sX2F7Pyi1S7SEthq0pFTJtzjMVsUP9XjYyjhbZzrGln4VD+ytTyYnObvWNz7Oe5DB2FyZO0gIOj7eh9NUJDgVfus5Oe3yD2uVkX7YNrExm11uc8/VaK0eWV6TmhZWRkP2nPa+0/af/hZ1TlWlfdnY7e00mH1myUDLnkhovsmR01o5U1tkqkrQn1FY+T/OsS1l6ZMcsZYdIY28lCyEl/zDyHbIjLc/mzC+SBMBsW+76S1kp5pR1x6d63TwJ9C/RRRnCmwG8ljZlyQouBnBSjPFzABBj/FoI4U4AlwD4+JoaIzaS9V17CCGE2HRIhtAbfAnAVSGEcwAghHARgCsA/Nf89tMBnADgEws7xBgnAHwFwOVZlYYQqjbEFMDoMWq/EEKIdaAdQ1d+ANRjjJP0k/Wy4A4AJ4YQzgOAEMJZAM4E8P31OWtxjOj62kPrDiGE6C+6te5o5yW82wA2W2TBn6KTMOp7IYQWOn/b+t0Y47vnt58w/+8+2m+f2bYUrwLwv7vZUCGEEBtHCwW01vg+fLX7xxj3hRBeDODfQghtdF7I/1qM8fY1NURsNMdi7aF1hxBC9BHdWHcs1LMaQgh/AeDpAE4FcEmM8br539+KTiTkQpz062KM/7ra9my2lwU/A+B5AJ4L4LvohHy+JYRw9xp9rF8H4E3m+yiAO9dQnxBCiOOQGOO/APiXjW6H6CrHYu2hdYcQQohu8O8A3oBOUmXm2QsvD46Wzfay4M8A/GmMcUH/950QwqnovKH/BwD3zv9+N4B7zH67AVyXVel8SOliWOliguOART1srubW1rUKrS6XjSFb1875BCysh2d7NqvzbZCG21rANclSsERadasNZm1z2+i2+bwKJGS3NofFht/GWmxbF9uoWWtCzunAWvW6scVjLbhtXiq/AvV7s5rzto821caTugYO+2PWxpJtlSOkTR8gHbnJC8DbbB4HbnuqXjO+lQnOCeDbnqfXLxltf9qm07fB6uwHDvqLwdoush6e67VznOcI24EWTc4AOwaAPxe2eeTzbOfcHV0+EZproZkzh+h+UDE2lGxb2BiinCG17LIpeZvtT74nmdNu0TnydeT25eua+t3txuOZl9eF97V9tIZIvG6E8vVaKKDYMLq+9shcdwghhNiUdEtCMF9HZV6iZqktJYNcyJN0rJ4jmy1nwRDSluItJOdxCzoP7asWNs539GUArlmPBgohhNh4OhZEhTX+6D9wAoDWHkIIIZahO+uOxbXHip2YluEfQwjfCSH8bQhh59Gc12aLLPgggN8NIdyOTijgJQBeDuDvgI7HdQjhLQB+L4TwA3Qe4H8M4G4A79+IBgshhBBiU6O1hxBCiPVkNU5MWTw6xnh7CKEM4E/QiYT78dU2ZLO9LPh1dB7AbwWwC50H8dsA/JEp8wYAwwDeDmALOvqNJ8cYOaheCCFEn9KOAS3JEER30NpDCCFELt1YdyzUg3knprXUs5BcOcbYmH+hfdPR1LOpXhbEGI+g42X8mzllIoA/mP9Z2/FCoplf0t974avNLZDnCw6gZbzmWSeewhyHNdx2X9ZMs9e91fZXpvw2qzEvzfptnG/B5hdgb/uiWQ5ZH3cgrYO22mvWnzNt01+NnLwEKf10zrWa0v2bfXm8AtVrdeyct8HmRQB8/zUG/TY7fqzzt5r7TvuS71TUjcn0bj8mNp8BAATT13k5MACg0LLCdr/N5Zyo5+v+bdu5f2wuhnbZ78f12O95OQq4fTyH7b714ex5Cfi8BKn8BaYo5whJ3QNM/3G/23mRyslB3+285XOOBX8udk61eazNg4zPmXMh2HEpzdB8attyfE3l5+HIaE6n3sySvCP9SyhngegW6732EEIIsfnocs6CNRFCGAZQjjEenv/VzwL45tHUtaleFgghhBBCCCGEEAIIIbwNwFPQser9WAjhCIAnArg6hFBE5+8wPwLwc0dTv14WCCGE6DvasYB2yiZi9XUIIYQQQixHN9YdC/WshhjjSzI2XbLmxkAvC3IJ0YSl50SE2ND15SJHbEgyh4mnLAeNBVueFdlyYbwuJJlG3IYhs3UjV2SPE0g+EKK106Ow+ka2LIHbw31iZQoc2gzT3lTf5dhHcli2bV96DPx3G0YeWhz/nG1nlw7PTz5XJ/3gzm3xDbQWetxfdhv3D4e8RxNSnrIfpHPh+WZpDpjjk7zCWgECZOtJkgDbJyxDYGx7WwN+W6xn20lWJ3zZ+oiZM9Q/dQqld7Icthg05x3onFPWgOa8uV/teUfejx0+bVeW+eL0X+14sgVqal9bTY78g605nfyKqmTbRzt+qf7h5lj5Vd59N2v/eVoIaK3RzWCt+wshxKaAnzdG2hZSD6d1YLnnhBA9SDfWHQv19BJ6WSCEEKLvUM4CIYQQQqwXvZSzoJsoxlIIIYQQQgghhBAORRYIIYToO5SzQAghhBDrxUblLDjW6GVBF3Bjuoy0y9qhsQY4D7Y4q41Z+zpflnXtTptN7XP5DEg3zrp2Z5lH+nhbD9vp5dmqcR+kvpu2c3uc/puuK2u5yPWUZ/w2axc3dL8/SGPEC9uDtQIcIfvImq8XxtqRx8/qAeujvp48W8PSXLZVYW2rrydwTgwzRpHsLRtkI1idyM7j4MaerUFpDtkx4nnRNPkM8nJMAF4fz3aIbNXprzFftmhyRaTSMtAcsjanfJ6VyeQXjSGqhiq2loONEd+ZznI0J0cBAERzLgWeT5xvxMKbzK52DIClclkkn3ls7Vzkc2YrRzunOWdIKv+JHV9Oo7IK6WxEQHuNur/YY7pBIYQ4JqTutccgT8EyeQjscywst5gWogfpxrpjoZ5eordeXQghhBBCCCGEEGLDUWSBEEKIvqMVA1prTBK01v2FEEIIcXzQjXXHQj29hF4W5BGRhE3ljZuNlsoJ+QW8pVmbLAY57Ks5EDLLOls3huUEJvQ6ZVFnqrWWhkDaGtCFQTdy7BE5nC1lMWjq5NgWKmpD19mS0YZFc2h6ypLRhLmnwqlrNkzcx0inrORMmNzAhD9obZRlAMlnO5ZMsZ4dsg0AZRPGPnWSP0Zlws4nv1+hTbaGJnSe7QdLsyQdMf2XDvtPPi83Z+x41kfpPE1fpuw16VwqU8l2Dp0vkfyjNJs0kKUidluNLCqLFNrfNufGlp5W+WDbBqRtA21IPl+3eXOYv9s5zLKDvHnK2GuKw/p5PO29g+VOebDkpJUjOUmRc6919q3LRKkqZ4EQQhxb+FmTK19Yzlq8nb2OFGIz0K85C3qrNUIIIYQQQgghhNhwFFkghBCi7+iG33GveR0LIYQQojfpxrpjoZ5eQi8LhBBC9B1tYM1ZidvLFxFCCCGE6Mq6Y6GeXkIvC3IIMdHF5ln4Wd1xahtZ+MWmsYah2dAcpDwARovNL5ls7gPWw6c0wXZzjrafbflS+Q0Mrar/XqxlWzDyedrzsnp8IK33dsfMyTXQIntG1oa7/kvlVMg8ZEqrbuvhHAEpa0Aznlb7Dfi2p7TpVNbWa3MUdHa2baVNnANjMPk8cDjbghHwc4rnsLOIpL5k60u7L7cvGtE555iw+RUAPzc5f0d52pe1eQrYttNp8tlGlNpeNMfkPBI8Zn6j/2rzMfA8tVaOPJ/y6uG2pq5dUxffH0Ix+xrjOWzzLeRdC5xHgrFjz/eylGWk2xE5G/NRZIEQQqyQZWwNs8p20+LQPm/ych+sKk9C7gHpu273Yo30a2SBchYIIYQQQgghhBDCocgCIYQQfUcbXXBD0Pt0IYQQQqyAbqw7FurpJfSyQAghRN8RuxAOGHssFFAIIYQQvUk31h0L9fQSelmQQwyJvtZpbumFj9Nis86Y8gfkvXAKpOlOaZiz9svJQ5BqE+uDTXtYu5/S0jezt9ljFsn3nrFl8/T5QNr33bXPtDdSDgWut21199QH9bHkGMU5v60yxXkcrKbOl+W22r4dOOw7rD6cbGS9Hevx6kafzjkerJaetfuNkexcFpyHgDXwtm+5XpuLgbX83LflGbsfFTX9U5rx2xrDvj22fal+J7180Y29L1wbTw5aaPhtPG9tXg6eB7baAl03nG/B5gyoTPl5UBtL2sPPhuJc9rVQ4TEZyJ573F82p0jqmqd7kO0jPoalPOsPMreF5p4ZX74/cf/l3ZMcvfUsFUIcD9hbXT/dg1ZxLnm5BXj9Eu2zm/LehLb/Xmgnz0eux7ZvuWOuNIeBPY/V7CfE8YZeFgghhOg72ghdcEPop/8NCCGEEOJY0Y11x0I9vYReFgghhOg75IYghBBCiPWiX90Q9LJghTjrxJywWR7fSD3swveprLXT43rZLo7Dxi1pCz1bT842tiakkPxg7RoHs8OeWXqRkkW4bVRPjh0hh/nbfdk6Lv1SLmRuszaLqdD0OofNJZ9tSDuQDpm2koGUNeFQ8rk6wW3NtsFj+Ye1muS5lrJrtH1EfcASgaKVeFConpUlWAkHkA55t/WmLDTN/OIw9hJJAorm2rCh+wBQJ7mFHYcmyRlsaD/PJ2tHCgAD+5IGc3iiPYa1agTSc9GOvZWfcNmU/WBK0mTb7rexraG9X5Sob51sIyVLyra+5Dls5R4pe0a+HE24aaFJ13GO1WqubGuZiFG9LBBCdJ1NdEvg8PxCy4T5cwh+m59bxja3lq0Hq2/1D6PSjC/bLli9od+3OO3LumO2aFsx52HAa8w8qYhdBrHsIKfsZhp3sXH068uC3kq3KIQQQgghhBBCiA1HkQVCCCH6DkUWCCGEEGK96NfIAr0sEEII0XfoZYEQQggh1gu9LDgeCVhSp8Rj6GwDSa/PGnirs2edMetzXdlGtp6M8xDk2TVyvgWrSU7ZDVK90WidU3pvcy5pyz6yx7E2lHwM6ltbF1vbWY15g3IosJ7Z9gmfV3Mg+VyhfA9zW3xhq+vjfAaVI2SPOJp0fGnab6sYC8bKhB+U2Z3+srTH4fwPtv+4f1irbvfNs0oEvG0gWyda+0g+Zo0s82yOAM5ZUDX9xbp/1tJbPT/Xw+2z2zm3RnMo+5pKXUc1k7OAjun6vZ5/Hdtrzs41ACibfBmgbXw91keTtg8c8g1i+0jbPp4zpdlkXzuWwBK5UUw+Ac5hYmFLyDnSl9pzSVkn0nnaa5f70o7Dwnj12DNVCCG6is09sBp7P5ujAKCcAHXaxmsCs6ZL5bIZsA8Yf0zOfVA+ktzgGyP+5t8Y9QlriiY3QnHOV2y/cXti8A8K+/xL5bbJ6b7cHAa8X85z52itHIXoVfSyQAghRN8h60QhhBBCrBeyThRCCCE2CbEL4YBRYQtCCCGEWAHdWHcs1NNL6GXBCsmzPHSh2CxRoDBfG/ZfJwu4yiSFM5tdOWzchvJyiDTb4Nmw/8BSAxMFVmRLSA55N03g0G+7LVLcF4eqF034d6vM4Vq+bMHIB9guLrRNODydF4cv51nAWYtDDsO24fgAUGjYcEC/bWanj2OvTBm7P5Iz2Hkxs9t3NMsHbH+B+su2vbYlP5Q/z8KS59DQ/mQyTJ3g227D6lm+wG2348fHsNKDItmGso1hnuyGrzEnuyGpT9lcYyxR4Gu3MZIcqMghmybMkCUAPIfKM9k3D2tHWp72x+d67TU3t9WPtZ0Hnfbaen3bmwPJviwn4nEo1qz8gywYzb5sCck0jIUlX38pS0aSUblj2vvV/DUfs129hBCiN1hFGDuTF8bOzxv7nA3gdVpStjnoH6SlWbIqtGu6cvb9PdLxG0Mko7RyvhavbbJv3i2qh+UOrg05cjV+btk25EkvAKBtzntZKYFzpu6S7GANc0aIbqKXBUIIIfoOJTgUQgghxHqhBIdCCCHEJkEvC4QQQgixXuhlgRBCCLFJaMe1P3DbXYomFUIIIUR/0411x0I9vYReFuTQLgJhXtZlddop60Sjh09ZrOXYhKUs19hG0OiwWF9dncwWcIWcidr2TjUoTyWfW2TdltrXaJRLc9R2c55Wqw+krdEaQyu/kGx/prTMeRY4rKU3uv/mAOd/MLkPaExQ82WdJU+L9W2U78Dqq9k+0rSPbR+tvhsA2ua8C2Tt6LXqZKdXydYy8nzi8ZzelZwoj1/efpFtO63lE2sHrcaPtjVJr2+1ejy2nJfAji/nlbDb+LxY929J6UJNUe5nznPRMLkZOC+BbU+J8gW0Wc5pDsPXWOqSt/lOeF6avk3lKKhnz2m2g7L9x+ecus+Y827RtpQlY451or1uFnJwtHO0rBtBCKEK4I0AngRgDsC3YozP39hWCSE2Erb7c8+8VfzfojDnHwxtsh+098yQygWU7Fto+hsnr2csjapfnNo8BPYzALSq/qbdMjlyeM3G6+XSVLKAaFc5aZbtr+y1DUCWkbzN5kngHF4lsvw19bTJDjjXZrFb9NYfl8VxjF4WCCGE6DtiDGvOKHyU+/8pOsvic2KMMYRwwpoaIYQQQoiepxvrjoV6egm9LBBCCNF3dMPveLX7hxCGAbwIwJ4YO396ijHeu6ZGCCGEEKLn6ca6Y6GeXiLf70oIIYQ4vqmEEMbop5pR9kwABwG8OoTw9RDC50MIV61jW4UQQgghuoYiC3IIMdEmW00U5yEoGt1Tk3T/rDG39bDvPeuFrRbaeqxzPfWRbF195xd2R7/JatdTXvfUdqs1Zo2y1clxbgHOEeB0x9xWap89l9LsyjVinAegYjTTrLNnzbmF9fDB5pyg/mJNotWGcx/YNrCuvlDL1uAXuL8MbfIM5v5y8yuw2T19NZt5Hri2kx6Q22CPyf1cms4Wm3PZypTRDpIGn/Mb2GOm57CZ7w2+prLnRaRjurnH05JyDfj2Zudt4PPg8+S56LdlbkrVa+tJ5Vug73YecP4Al0eCdaE57UnldcnxyE7dI831l2oP0UU3hJcBeAVt+kMAr1lilxKAUwHcEGP8nRDCJQA+HkK4IMa4b02NEUJsWvI07rx2KM7m3UD919K0L9suJzfG5qBfMJRmk4dTa8DfXEtHau57ayhJxpVqj8kZ0K6Qzp+eU7GYfLdtA4BI64X6tmQBXZ70C0nbR/ysZkIz55jt5Dv3O2iMiiaHQqAcCu1qzmIsD246P6Jy1uui95EbghBCCLFJ6GLOgjcDeC1tqqVLAwBuRyel1rs7+8dvhhBuAfAgAHpZIIQQQvQp/ZqzQDIEIYQQIpt6jHGSfpZ8WRBj3A/gk+g4ISCEcDqA0wHcuH7NFUIIIYToDoosyKHQBArzr1OcDV6DyyVxQ6W5/LdBLWOzyKG6HMKdZ+VmQ9PZRo1DiW2of4FDpG2IWMVv4/bZsHuux4Z+18Y5HN6XtWFWKatC6j57zOYgWfLkWFbyGDkZQI59D1vkcXtsWDSHd7O8oViz23wDG8PJubQ5rJD6pD6aFKgeybbMq074Y3AYu+3rwYN+AOsj2THmPNZOAkM2jyypsGVZuhLMiackEyQRsNdGSupAZa2lH9tQ5tlA8ovcQsPOad8/dmw5VD4Vgm/OrTHsN1Unks9snRiprXa+81zjPsndZm0VKZKSx88eh+tp0f3Cwv2cd/9sDNExzf2C+9KO0YLcg2Ufi2W7EA54lG/3fxnA34YQXo9OlMFLYox3rakhQoi+JRXmz0s/Ey7PofuBpZLGArE842+20dj/FWr+xmllB4AP9W+QPaN9NpYn/XvT5oivx8oU2GaR13TlqaRNzSGSScwkfcQSgJTEw22k71bCwH3J0kRrJ0l2jWwl7O2dsyWqIc/ze6n2ik1FN9YdC/X0EnpZIIQQou+I6IIM4ShWbjHGHwF43JoOLIQQQohNRTfWHQv19BJ6WSCEEKLv6GKCQyGEEEKIXPo1waFyFgghhBBCCCGEEMKhyIIc2kUgzEujrM6WbVusZrZF+tuUftlKoEhn3xykokbnxBpgqz9fzkLMaqFZw12cs3X6/XI1yWyPY9pQnvZl+QWZ09SRVr0xRLZ4A0nF3B6rG2fNWout7uzx6bttX4NsKPk8bR6AMuWK4L61OQRS1khWn04StpQ23ORbmNnF9oPZ+jfWn9s8CZVJr1fknAE2d0OqD4xckPNclGb8d3feORaDkXJFpDTvJj8E6+wLNKLWqqlJFprFkH0tlKc5B0UyfkP7s3M8FJqUI4T6xJ5nkdPi2WnAtqZsOWr0lHydpCwsTX9ye1wbvBQVke9Jpg0py1FrQ8n5Fjj3hzkO36/4vtM2ZbPyEdh62hkOnDGmnLBWzVr3F0IIALnP+TiYvxS39n8lym/Aa4tCzWr7Sfd/yCSEoXt0e9A/DNolc6MmfX7Z1BMa/iZd5LXOXNKexph/GJWm6QZv0wnM+W2haW70nLOgwX68Jr8W5WYomHra3HdUT2s4aW9z2Pdloe7L2uOkyto1VG/9wVh0mW6sOxbq6SX0skAIIUTf0UZAe40rs7XuL4QQQojjg26sOxbq6SUkQxBCCCGEEEIIIYRDkQU5hJiEcvsQeApdsr3I1mOzHHudfEzZzlEkld23PkbHrGdb27GVW9mEhudJFjiUP8Ts0HC2DbT2jWyRlz5O8rk2SpZ0bJlnI+OoK+vGopHDlfMs8lrl7G3pkHsKcS/YbX7f6iSFsBkLSw55H96XNJhlB21qnz03lj648cyzCKJ9rSQBSFsY2TFKh8MnnzmsnsfPnje33Z432+exRaQdF7YGZSlG3UhJRu72E2PqRDNo3F+k27B90i5lh+Cz5SH3bXUmmRcsu7FziMcgz+KT52nKLtXcA/geZPunQv3couvatoHnqbPFpONHuge5eUrnVabxsxKLyJITM/eWk1/F2AU3hB5LMiSE2ETk3D9bg8UlywFAkUPwzbOcLfsCacesPWJpcs5tg5UWsHSTpBBN0z5em7aGk0VKkayxC2TX2NwykJSd8RKKFtkjNoy8rz1La8xDSZ+wXaSVOgBAu5K03fYHADTNNrY4RJMX4db2MUcTByBai0gaP2v1mDqmHjF9RTfWHQv19BJ6WSCEEKLvkBuCEEIIIdYLuSEIIYQQQgghhBDiuECRBUIIIfoOuSEIIYQQYr2QG8JxSCwkulhrG8ZWNaxdt7De22m/KMqE67F6b9bkO71wjsYdABrGPi6lKTfbCq0cez94G7ryTI7lIZ1XynLN6JutBSSQ1vZbLR/bULaN9iulnad666N5NpTmcHT4as1r2PLG2trpAUBlymjVyU6yMZSUZe016wOt1n/4Ht94K7Of3u0nQpnG2uq/7fGXaoMty5p3e0zWqtfJerJkJJOs7a+xPt6QZxs4dL+f4LPb/KDYnA9zWykXg9F+cq6PQiP7PHle2P7ic87LJ8CWgvbaGL7bewge2ettpqx9ayrPBX231yDfr4b2JxOsNkbzgOa3HXvO32HvB3yvSOUMMZvz8lpwWb4W7HktjF/MkJIqZ4EQYiNpVc1znu7RlcnkJskafGuVCACVuw4lX+h/Ec1dY+671c43iz6BVH1L8kwpkvUft8Fq60vTzcxt7QG/7ijNZieMYjtnfqZUD9mHHO1rnt2lCZ8oobHNJz0qTSXP0pR1sLFEbo74tje3+P6yz85UHoIy53kyeZUGsheKaetu/j9C9v81nG27Hk09iXIWCCGEEJsEvSwQQgghxHrRry8LlLNACCGEEEIIIYQQDkUWCCGE6DtiF7IS99rbfSGEEEL0Jt1YdyzU00voZUEeEYv6Wasrag74YlaXzRLbNucTMAVYZ5/CzBUua+dRddIftbbFB4xYH3rrDw94HXRKl016MnsurCnPahuQ1sNbbThrrSuTOTp70jZXJ5Kyc9v8QbjfkaOzt/03cMDr7coHvU9x23gRF6f8oEydOe6+2/aypttq6dvUnhLlg7Dtmz7Rn9iA8R5ukTavMuW/t83Yt/nKpzGrj5scD5Qrwh6nSuM1vZvmntHk10b9NjsPOIcCG0/bedskPSDr2gtG+s8ayZaZt5X9pNlky2WTU4F19nZMeO6l5rDZzHkb7Hk3T/QDyOdl84tEGj/OU2JzivD1aM+L9+OxtvkYKlO+7fa+xz7hnNvDnkszJ1cF4PuLr2N3ry0ufazFepTgUAhxFNj1XljFTYA15jD1sDbdFWv4G3Hlprvc99b992fuW9rv1x1xz4mLn5vbB902m6cgtfaivASVA8n6pr7D5wSwOQtC0z+oYrlI35Mben3YP7hsPQDQMNvLk34t1hpMHgYF1vJTG2zZdoXWhtXsPDylWT8OzcHkXFpVOq8St8Em2MrOKVRoZSTZWYLU3Out/z+KJejXBIeSIQghhBBCCCGEEMKhyAIhhBB9R+cN/1plCF1qjBBCCCH6mm6sOxbq6SX0siCHQsvYc5kIJA7H5dB+C9sG2rAnDgXncH17HA6dt2G/LBcoeAc2d8wChX3Z8GAb5szbUtBEtv3DbeXQZmstxzZztXFqg4nY4v6qjVk7xOx+BsgCrkzWQzYsms6reO8B9z3ec2/Stu3b3LYhshCqb01seBqjPoTNhYl7pUMqbNyGqrPUwI59kRyLnJ0lgLLpAw5jr49l9zvPy8EDycTguWe3Ad6yksPzrfVey0dLpmwNg5lDKQtNClW3c5Hvt9aGkqU0lSPZd2ceEyvpKE9TKCVZKdr7Q4H6x0kU6F7B/W6vqwLJklgaZfdNy4Jy7kH0ffCgkYrQ/cHaI/J13KSyzsqRb5c58W0sv7LtXZgHsk4UQqwKXr8crUVdah2UXQ+vp2zYemGOHt615TSqCa3DE77e2WRBUSqe4QuPJQ+KOJy//G9uScoWZ/1Dt1BPbrphzm9rjfuHkZVftEiC1qpk3/xLM/7GXjqS9ImVGQBAfStJ+GzfNuiZa9fgdPwGjV9KVmIoT/nznt2dtIHXo9WDyfim5AttmkR2My9JVrpNbBj96oaglwVCCCH6DpNyZk11CCGEEEIsRzfWHQv19BLKWSCEEEIIIYQQQgiHIguEEEL0HZIhCCGEEGK9kAzhOKRdAsJ8D1k9MecosHZorIPmshWjb64Ps3bJH99qlNnizB6TtcTlmWwrxdKsryfPApE11M3BpJ5YZLFe8pH1y2xJ5+okDVs6v0H2traRqbF9GlsVWl17Y9Qfc+ak5PPkGVW3bcvu09z38ffuX/zcOnDQbSuNj7nvzRGjYaM+KTSTNjRIr8/zwOr+W6RNny4kY8I6/8H9bEtkbZzyj1m0eS9o/GpjyTFnd9PcO+LLVg8nFfP42fnFc61Ouv+Cy9Hh60ndU63clPXspiznGuBcG7ZNrO23VkjFOtWTYw2YyhFgis5tyb8W7Hlz20ObrJqM9pI1kfZa4Lba3B6Avz/wdWzzInCOAh4jm0eF81MUKceKnYuco8O2YeH4nNshKQDpEIQQafj5l2dRl6cN53pa2TeMJuUtmtuWPMzbRX9THNvurQqLn742s14mmnwHxYlpt621ezgpR/folMWgfYYUyRL5cLKQbGyjts76/AtNkxuhMezr4Wf38L7koVekXAi1HUkfNYd84/m5ai12S4d9PfUtyUOlTHaRrbJvX7GWPIx4bNtc1qwXrEUlAB/DzVON6nU5DfL+v9hb/5cUC/SpDmHTyRBCCCeHEP4phHAghDAbQvhOCOEhZnsIIfxRCOGe+e2fCCGcvZFtFkIIIcTmRWsPIYQQxyOb6mVBCGErgC8CaAD4MQDnA/gtAIdMsVcAeCmAXwZwGYBpAB8LIdDfZIUQQvQrEWExJPCof/TnGwGtPYQQQixPV9YdPbj22GwyhFcCuCPG+ELzu1sWPoQQAoDfBPAnMcYPzP/u5wDsA/BMAO9Zt5YKIYTYMDp+x2uvQwho7SGEEGIZurHuWKinl9hsLwuejs6b+vcCeAyAuwC8Ncb4jvntpwM4AcAnFnaIMU6EEL4C4HKs8oFdaAALNqtOv0WDaHX3rJGO5AHfMt9Tvrv03WqLK5w/wByzesTvyHkIbJsalCehNGP2Iy0x65BdHgB66WV1x6yFS2m9jCaLy7JOx2rRWL9cNnK8uJzufzw55swJ/iBbzzuw+Hnv2CG37Vtn73HfZ3Y/bPHziV8kgf7+SffVau6m9vjG274eOOTbY3VyAICQdFLZSxBdLgTW/fNYD96ftKdV9hOz5VM1OB14m/p9bltS79ab/IRvl7PnTPmI1wfOnJC0wXoxA+n8C1bbyHkb2Nva6vlZy2jzALTp2kz5HbuN/qs9r8aQ31g95MevYfIvcP9E0z4+jya1r3Iku32c38C2t0ntg2kezxm+buz1yP0Vc3SYBbINt+1JbSNs/pHUedlb0HxbU3kphOg+67r2EJsD1q0XSKtun/vTJ/qyU6cnN7dtew+7bT+8d9x93/qAyxc/n/Ce77ltrUN+zVLcuXPxc33vdretMcILroRCw9/Ey5PJoq457G/+s6ck7Ru66X63LZb8MYomd1Npzj+QOW+XXRvm5Qioj/i+rE76h4DNP9Qe8O0pzSZlCzXaj8YzNJPxbA35tjeHuCwyCWZehAKdMx3TPuMilU3l1hBindhUMgQAZwD4FQA/APAkAP8XwF+EEH5+fvsJ8//uo/32mW0pQgjVEMLYwg+A0e42WwghxHrSlVDAHstILDaMrq89tO4QQoj+olvrjtWuPUIIfxFCuDWEEEMIF5vfnx1C+FII4aYQwtdCCBcczXlttpcFBQDXxhhfHWP8Zozx7QDegY5GcC28CsCE+blzjfUJIYTYSGLozo8Qx2btoXWHEEL0E91ad6x+7fHvAK4AcBv9/m0A3h5jPAfA6wG862hOa7PJEO4BcAP97kYAz5r/fO/8v7vny8J8vy6n3tcBeJP5PgrgztCOi6HJVnqQsnUzYbUc9syvY1yYFYfcp+z/srfZEOA62dFwqJJtH1ujcQi1hcP+Xfgw7WZDwwtkhdag/ioaWxu2gGOLwbmtybnZ/gDSsgkLh87bvm6N+3ixK0++afHzT4x/w2279Exfz5886MLFz/94ziPdthM/N+y+2zC6JoXO29Dp6d1+/Lbd6OO047Zk8LfcPOe27XtY0gkjd/kQyOF7fD21LcnknNvpx6Thm+7C0Yfv8tuqh5Pzqo2TfRDZCFYmkorKU749hYbV5LCfkG9fzchIUpIACqV30hW2BjXzn0P8OMy+MmnOc4s/z4GDyXmxXIex8gEOmZ814ZSB5n6brBz9PYDkDNwnJqSU28cSD1dP6n5l6qTrumDmN9u3puRYpt7I90iWPpjvKVtE00XlhbFsLB2aqZwFoosci7XHkuuONbVSHB0pW1izTqONraq5EedZLsLL6xqjvuxDL/zh4uff2/Nht+3WB2xz31+/98mLn+8YPc9t2/MRb+HcHEs0hWyHaE+leoiexxSSb9cvc9v8Tbt6KFlDtUf9Qqw1TIsvQ2XCr72G7vHHnDw9WSjNbRvJbE951j80WEJh15F58sLipF9P8ZqgNZCcd5H6h8vauVAiS0Y7L9z8AVCo08PSzJnUMY6WvPmth1xX6XLOgsp81JmlFmOspcvHzwFAMPMnhLALwEMAPHH+V1cD+KsQwlkxxptX057NFlnwRQDn0u/OQfIm5RZ0HtpXLWyc7+jLAFyTVWmMsRZjnFz4AXAkq6wQQgghjiu6vvbQukMIIUQOL4OPPptAJyJtpewFcE+MsQkAMcYI4HYAp6y2IZstsuDNAL4UQng1gH8D8DAAL57/QYwxhhDeAuD3Qgg/QOcB/scA7gbw/o1osBBCiA0gIvUXlaOqQwitPYQQQixHN9YdC/V0njuvpS2pqIL1YFO9LIgxfi2E8BPohO/9AToP5N+MMb7bFHsDgGEAbwewBcAXADw5xjgHIYQQxwXdSFCoBIcC0NpDCCHE8nQrMfJ8HfX5qLOj5Q4AJ4YQSjHG5rzF7ynoRBesik31sgAAYowfAvChnO0RnYf5H6z1WIVGRHH+9U59NFFsVKayrQCRo9UFQBZikcpmT7D6KFuoJJ9Zy98qkUbZ5VQgm7dJYw1T9dtSVnyDycmUZ7xmrDZmtNekQbb2jIDPhcD66UC2auUZa4NH/WO/0ps8qzfnNpUP+Gk/apIoPJxsdmbaXqh9ciWxKaps92vAI6d4jV1pyhyfREz1LUnjOTfE5Kn+F8P7kk4qkcbuxM8n2rjiYd/Rhx6y030/cKHVwlH/8DiY77Vtvt/Lpm/5Whj9oY+kLRj7yIkLtvptRlfIuQ+mT6Jjmr5k6z07RwB/HbVL7OlnyvktKd2/vXZ5PrWsBSJd45y3wdZbIP2ktVnk3AIlstS0OToiXWOcJ8ReG3w92vbxPYf7oGxyPLQ4h4K5Hos0Jjzfna3UXM51DG/jyW23VqsL9rGtoP/Qi2PPeq49xDrDtyR7/2K9tylbnmadP+UN2pfcGOe2++f61kryvC7SQZ4+7J/lP9p77eLnPz/9iW7b/Q/3z9WRu5KbLdvxWuveue0+Sc/wHXQTN7aBAwe9Br9gtjXHfEImzpNgcw2U5siqsOrLjt6eLGZrW337bH6tkVum3LbCD+7wbd+TGJCEgxNuUxwZStq61a/ZWoN+bdgy59Ju0/OZcjDZ82S7Rje8NNca45QsyVobz2YnGErZKnJuhpDxGcpTcLwQY7wvhHAtgOejk9jwWQDuXG2+AmATviwQQgghlkUyBCGEEEKsF92VIayYEMLbADwFHavej4UQjsQYzwLwEgDvmpfQTQJ44dE0Ry8LhBBC9B2SIQghhBBiveiyDGEV5eNLMn7/fQCXr7U9elmQQ3OwgLgQhmTe8nA4fIuiiCylGoUvm1DePJsyACiacKSUzaIJJ+P92I7Qhi9zCHcsmjArqodD0wvOCpDCxE0oOIdTF6kPSkY2YUO3gCUc9EwbCpHPKzkOnxeHgg/ckVQ0fK9v398PPHbx82cvPNtte/yu77nvXzyYeCnWD/nwu8FZ3wZrU1kfp5AxE9U3eo9v6yzZGg4dSD43R6tuW/lgEq4Yh/y26RP9BCsZhUBK/kHfB++z8g/fvpF7ksY3Rny4nZ1PgA9RHLzPx8rbULjaOHtL+q/WCpOtEpnSrA3t9+2x8oECzT22BrTXWN61WmIZBIV+OttMdnLcnlQ8cDDfRtTJAKieAjk12euTJQrtYvZDKCWhMOfNYY7WFiwlJSjTPcBIrtjWlPvPngtLH2yI5sIYtNl6UQhx/MGPBb7N5YSC58LSrKnkBlVo+Aenld0BQOnA9OLn3Ue8P/Hnxi5Z/Pzp8/2646zd+933eyYT97Tq/f6Za615AaAxmmwf/YGXBdZ3msUg3c/bVb8AjMPGgo2elW37nE+tG7NlgZE6k59xdk3ANovWspn7uX3uqb7eW+5OjtmksocOJ8cbOp3anr2YT63BK34c7PORbZCtVLFV9vsV58gG0kg82rSeyrOBZOzzOVeikGOrmNpX786PW/SyQAghRP8hGYIQQggh1osNkiEcazj9nhBCCNEHhC79HMWRQ3hhCCGGEJ65plMQQgghxCahW+uO3grjUGSBEEKI/mODIgtCCKcB+CUAX17j0YUQQgixWejTyAK9LMjDvNyxWt7GSLb+PJJjirV7AdL5BCy8r7UQY3tEq4lqDvtjNEn+zVpsd0wTW1KdzJ+d1uKPtcRW/53OdeC/Oz015RrgfBBloz/ni8daPXIukBLpwKr7jBXRd77vtj3g6zuStu31doNXn/94931qT3KgrQdIU079PnA4aUOh6YN45nZY2zlfz5YfZtvlTJw16L4PHE4GhbX8e/7xB+77fc84a/FzbavvMD6mHQfW68/sSm4bQ/d5PeDhc70V0eCBZPvQDw64bTbHQgy+88peaomysWjk+czf7XwbPODngdXSsy1ffYxtppLPPKfzXvry9efyblBuAds+3sbWqqGVHNTOLcBbuwJAdcLoHil/QNvcZ1LXZo59airfjvnO21jf6XSQyzwEXS4Eln7anAV0v+wFQggFAO8E8OsA3rjBzRHi+GG5P8Tlbc/Jd8B672BtA4e8xr16wFv64eDhZL/ve7ey076ZPChal5zrts0Nn+i+l05JnvM7D/l7f2XSPzgqB5LkSZH08XYb0xryyWTseUeyp83Vzq/GhjJl3buy50Rjx5D73i755195b2KdWLz/sG/PHt+3ee2x69rSNOU+KPtjFmeSxWxrODv3QaHhx49zPDStfSPl6bL5v1L2h3n9njf3l7NV7K0/cIsNQi8LhBBC9B/diyyohBDGaEstxlhL74CXA/hijPEbIWiVJYQQQhw39GlkgXIWCCGE6D9i6M4P8DIAE/TzKj5cCOGBAJ4F4E/W8SyFEEII0Qt0a93RY7bNiiwQQgghsnkzgNfS75aKKngUgNMA/GA+quAEAG8PIZwYY/y/x7SFQgghhBDHAL0syKFdBMK85MvqhVnrbDU9ZfIMZw2whf3YA2mWo5UucQyI2ZV9ytsp31vTHi/1cqEujcFsvRbD7bH7pjzpSTMdnedstkaat3NOBzsOkc55Zof/xUBiu4vCiPc7bt5zb1Ln/oNu246bfI6A8LTzk7bWfFtjgfRlJm/C6GFKzhASvf70bt9htW3+e2Uy+dwij/pt3000iAce5PMFdP7fkmBzUvAYDe7z//eZ25kc6M6f8BNz4AeJ1jK0fD+P3OUTCFh93vQDdrhtlUNJ2UHSYbIe0I49a/l5vrfNdVWe8fWWzPe5bTSh6LoumiHjY9hcGzwmnPvD5veoU34RG9s1cIj9luk8jQySc3sUaS42hpKKq5M+MUFzMNlm84cAQOVIm8qGzLI2/wpf46kQOiufpH5O3R9yXqi7HArzp8HzYXF7TEk+V838/vUY4+QyRTH/QmDxpUAI4TMA3hJjfP/aWiGEOKbwPcfeN3i9Z3TtxVnSsW/xawvcemfmIdtzc8nhr/mW21Yp+QfOjgechUxIr98aTB4Upfv9bau+d2tyzDavtXw9ues/K7FizfvR5jMAEOom106Fns+mqNP1A6gcnHPfw023JvWcfaqvp50cI1Z9boHyJK2DdiXrv9aAbw+fZyxlB2oHm6eA+jmVp2vSrKFIytaumH1z8myIjaMb646FenoJvSwQQgjRf2yQG4IQQgghjkP6NGeBXhYIIYQQXSbG+NiNboMQQgghxFrQy4IcCk2gMB/1Y20M02FpycfmYH44rgud5ygr+l4w0Ujp0P7kc3nab0vZLJp4lgoF09oQKA4PZomAtUPjsOySicarHMmXYtj2sLUkY63d2lTUtqHNTjVU9shZSYh+dbsP6Rv8XiJDiAM+pry91Yf2j96ZdG5z0A9Y+YgPSWyZ7fVx32FbbkoG7cAFPnQxZc1pxmXH9f4Yd145mhxjK8kg6r59NnR+9C5fz6FzvdzCtqF6i2/78N3JcdiCsV2imHzD0H4fDn/nlYkmZuRO3/aSjyp0oekcDs9jXTE2i7WxlfvrsRRidmty0aUsPs18Y+tGntP2eqzM8nkaG64Bf5HzeQ7fl5Rl61KWxLTMqVhJAreP96uPkPzDfOX7Q2ocDJUpsqy0Nqckv0pJj+y5pay2ks8LcpN2K6sd3UgSpNhOIfqdlDWgWaMUavRcN3aJHEbPa5TSqScn+918y4rbU9i61X13qgiyayzM+IdT+Y79i5+nLzzJbbMStIGDfr+U7MB+zZMP8HqYsGXZmpBJSQ8y6inU6flCfdK87AHJNnqu2nOpj/jjjd7iF9PlyaSPGmP+GAP3eRtKK/8o1MiT2HRXoe77nc/YyRk4Ft26UBay56zYSLqVnLC31h56WSCEEKLvCNG/4DzaOoQQQgghlqMb646FenoJvSwQQgjRfyhngRBCCCHWiz7NWZCdvlMIIYQQQgghhBDHJYosyCNgUTZSMLK1QHIkm89gOdtAq3UuecmTOwYAtCvZZZvGgq05QDpoKmv1eK0Bv83qu1kHzdhzYw231TO3KH8A5xMIRtjH9bAOq2n6ljVZ1qJuZifZB1XdV0ztSZRhfJ718T2mbX4/lg3NjRvbObLBG7uVtOpzyUSpjXplWnMg0euz5n30DtKRjyb1HjrbX7K2/6oH2dou24pv/4P8oJxy9b3u++FLdyVtHSQduznM3Hbfds6X4SwGKXfFQCKtTEm8imSHZ+cF2yHWxn37gtFeVqZ9PTM7krLc1tnt2ecJuubdvOVcGjTfbb9zTpNgLqqUFVPg/AHGqpBdH6lem4ugnad9Y0kk502x96ScN90p+8ocK0Xu9zrl6LDXdSAdrc2xsmBZSUNjjtkF7WBXtIdCiF4ilaOA77152nqzqTFMN75UjpXxxc+lkfPdtsKhI4uf2+M+b1FrwD9E6ltpQWMYnPI31NbuLckxSNtfaa7iz5U2dUxOf3EOmlQfmIpSunrO6eVE+X5bu2ielTF/vGz7hr93v9s2c3Zi4WxzBgFALPsHYNHkHgiHKLfOsB8j20exRPmi7DjQA6tdZV9muxGZLJejwLYnb34r10GX6ca6Y6GeHkIvC4QQQvQfkiEIIYQQYr2QDEEIIYQQQgghhBDHA4osyCEWktB7G57OIT2Fhg3p8XW0S/4Xth4OJWYZgok6TpUtzZhQXQpV4lBiGyLMIe+2XpZQpGQRJuoqZftoyrY41JrDrkx7WIbQ9A5+qE4Ym0UK+28ZmUZ5isKVycGvaezi5rb5Ey2YkHcOlS/P+Hqt7Rz3+9w23ymlueQ4g/t9Z87sTjqBj8EUTUg5zy9rS8nWRyO3HHHfa7sS6UN9iy9714+f4L5HM0YD+31Za7tYaPlbCEsfZnZb+0iWYiSfq4fcJjQotHFue/J9aJ8fv2Ldt8/KEgYO+/bYvk7ZnNJ4lq2lHxW11wZfN4Gt/EJ2Wfu9WaV5SeNprUxrW7OlFwAQJuxB/DFd26mfUzIqM2QFdoMK2dsKJCOxtpA8XixLsP1lZQeAlxAtXH8p6dBiA6HIAiEEgGXCsuk+WGgmN5X2YPYyuVAjC78B/4yz9+X6dr+4CVuSByDbMBdJPlA3FsBlsqWt7/L2zoVGduy63cZ9YMP8eXsqVN10Fz97VuX4lqeQy5GCsCwir9722JDbVJpJHlZVsj+s76QxMuO5nFSlOZSUrR7wDzXb77XtXgtcmqaFtunPQt0/WK1F5HJSGifpyLO+FN2lTyML9LJACCFE/6GXBUIIIYRYL/SyQAghhNgkKMGhEEIIIdaLPk1wqJwFQgghhBBCCCGEcCiyYIW4XAM5tmAp/TLJx5zun6pppizXlj4GH4ePUZplu7HkM9sGNkeSigpkq5OXC6E047fZ88rLdQAAoWnLku0j65cNrHW27bO5BIB0LoSB+7N1/0P3Jw2a3p1/SVjNO48fa/eqB5NGsJbRjhHru0uzpIM0eQlmU3kRjE0gaRln9ngt4+yOZN/xm3zb9z/ED9reMxO7odY7d7ltlY9+bfHzwOioP+Zjz3PfqyZnQIuum9ppyffGmN82cqc/l8GDyffmAOnsSbs3cMjoTdmVyJxmiXJF8Lyw48vHcLlIaL8K5W2wuvvKVHZsGecoaJOOtm3cswp0LfB9p2b6My8nANfDOQLKJsdJOjeDqYfaXttC+RdsPXz75Pwn5ry5rD1OK8/eDJ3x5DFdLWvdXwjRGzhN9zLPbmctx1pwoz8vNukeXSG724pdX5GV8WzyMOLjN0b9g6symdxsI92jWdfeHDELLm67+d4uZecoYPKsCVeVo2AV5Nr9cVtz2tAc8QmsghkHzlHA+QNsLon6Vr+QLZGFs21Tbbu3umQLS3eMIbJZNOvB1NyL2euOVB/EnG3imNGNdcdCPb2EXhYIIYToP5SzQAghhBDrRZ/mLDhqGUII4bJuNkQIIYQQIgutO4QQQoj1ZS05C64JIdwUQvj9EMIZXWuREEIIIUQarTuEEEKIdWQtMoTnA3gegN8H8JoQwpcB/D8A/xZjPNiNxm00oW29vI1Wtkr6Letbzj3KUiX7ncqWKQ9Aw9jDch4Aq0Nmze/s9mwtGtfjNGwV1oJTWRMW0y6zV3qOFpuOafX67HXfoO9lUzawz7s57/K0Pz77vts8AM1B3z9TJyYDwfWUOX+A0SDWxn1bp0/y9U6enujWxm4hDf5+kyfhBK+FO3ymH9CpM5Oy5cNuE0ZuS9rQqvr9uH3D+5I2HDnFt/XkT1HZv0naPruXtJYXJXkJDj1o3G3b9pX73PehYeMlTdrBWEz0giN3+UnCei2rpa8P+7aXSTtotfV8rdpcFqzP5+vI5shg7aCdX23aj7/bHAspDaJpOucT4bwb7tVuSsvvv9t7UquaXZZzMZSnfdm8XCRWP8n5TYpz/ntcRdvbIeee1E6+L9wbQmPpe49yFvQlfb/uEMeIVei2rT6+MEde94PJeqE462+KpVkqa57JlQOz2cej/DSp/FHme3HSPxiaw9nL+GKD8+ckN+K8HAUA5QiIVNY2dzntvC0acnIf0L6pPAmmDbk5FHh7mf8mmvQJ5xJoU1k7Lsvl96kcThLzuLwRAIrmOJyLKA+ux86D1JgwylOwIfRrzoKjjiyIMf5zjPEpAE4C8BvoTM23Arg7hPD+EMJPhRAquZUIIYQQQqwArTuEEEKI9WXN1okxxv0xxr+KMT4CwNkAXgvgAQD+FcC9IYS3hxCuWOtxhBBCiBWz4He81h/Rc2jdIYQQoufo1rqjx9Ye3XZDmAUwA2AOnTf+EcAzALwohHAtgJ+PMd7Q5WMeM+x42RDh1BiaXrQWYQDQ5r9xWMcZDr+l0SiZqDW2H1xNGJizfaRj2HAt3sbt8zv6r7WtyXsnliRwPRyybOGQZBvCXSaru4YJMS+S9RDbEc4Y28CBCd+A6mTyuTztGzC3pUhlk31Dy3f0zC6ywDERinPb/Hu5hgkv41D55pD7ioF9ycCc+qFJt+2ux46Z47EFo/8+t9VIFmg+Dd7vJ+7MqUm95Skfann4gkR6UKT5PnvGNvfd7ju728fD7/rSgaRte8bctuq9U749pyTb2UKTZQj1UdIBGOwcT12bNC/dPGVZhDkEhyNy+Jidi0Wal42hZF6wJKdKIZKFupUzcFt9vfZ+xe2xEqbWgN8WSGpgrzmWCMVK9rXJko7gZBtcT3ZZlj5YScXCvasVMh6qckM4XuirdYc49qTC4cFrFhPyThaD1rrQShKAtCzB0hryN7rSkeRGXLnPP+8aO4dp5+wbEYfO18yaZei+HDtE7gMKa88Lc7f7ct/llqU686QGqePHpcvNNyITlpEUGsn31oAfP7awtN9bVVp3THk5SG1r8nAq0rO7tiVZcBXnyHKRu89YOxYaOYvlZXD9vgqrSbFG5IawNCGE0RDCC0MInwBwG4D/A+BWAD8F4AR0wgWfDWAXgL9f6/GEEEKIZYld+hE9h9YdQggheo5urTt6bO1x1JEFIYRnoJNo6KkABgB8DcBvAnhPjPEAFf/3EMJWAH99tMcTQgghxPGL1h1CCCHE+rIWGcJ/ALgDwJsB/GOM8fvLlP8WgHev4XhCCCHEigjoghtCV1oiuojWHUIIIXqSbqw7FurpJdbysuDKGONnVlo4xvhVAF9dw/HWnVhMtLdWI8w6Wqs1Zi241bgDbKNGxyNRiM2NwNusrrc1iHxsPaSvthpg1ivzhLe2LaxJbufkbSjPZeupObcA285lHQPwfdIu+/Nqk36/MmWta3w9Tp9IOr4i2ddZffrsDj8oAwcpT8IJxu5vzG8bvM/ovY9QH9C5jN6eDPbkWSNu255PHF783Bz1OQHueaSfGNuvTwa4NOM74dA5XrxeMW2a2+rrnduWtK/hm4Nd3yANotEH8nk1tiXJGWa3+8E9dJbPfWCvo+F7/KCwZrM8nW2TWRszeS5qblPafsk0t0DXqtXv8/2Aw8fsPLXXPwDUR808mMrWaAI+3wHnDyg2yHrL3B8qBznBgS2bb0Flr7nqkex7Wer+RId094eUfav/3jLSXs6JYZtbmL9uY5aeVzkL+pG+X3eIY8PRarhDkzTmLZufyevh2wOUt8hsZ/25zYXQGvLP6tKEfzhZCz9+zg/c7y0Z29XkuVokvb59VrJdY8rmO69PcmwXOQ9BHqkcBln5ZwAnml7O9tHZLFb8w2ny1KSvh+/0Hr+tIb8OseNXvY98hQu+3sF7kgcbj1GxZnJdUdvLR/x6JhaTetuVbKX4qvogJzfEstiivfY/2F5EOQs8q3lgCyGEEEKsBa07hBBCiPWl224IQgghxMajyAIhhBBCrBd9GlmglwVCCCH6jhC7kLOgxx7YQgghhOhNurHuWKinl9DLghwKzUSW5PTyrCU2mvxIPWr1+QBQMPKklpc15Wt5s+1705OKpc+mCYG1/Ebu1qZ8CyUvhXPt5fwBQ/clja2PkDZ9yH8vzWVrqVgX3TI699p4dl9G0lJxvU4rTmVLszFzG/vltoyGjHMz1LbSuRw0nw/7stUjRstPORS2/Mhr2KxP8MzJPrdAfVuiv2NNZIkkdgP7E31eedoP4OwOP/j7Hpac5+it/rwmz0km49Cd5FNMc685kgjQWdd+5DRzLrTfwCF/LkP3JX3SGvAVsW9xu5x0KOfECG2js+expmvMbedr3khKG2SJ3RihHAom/0Od5rDNU1CZ5rnmy9r2lCgPSHnWf5/dmrTBnjMAtI1WtUD3A75ubP6ANuU7sXlTltNAFlrZ2zjPiy1bqrG2WKJJIcTqcfeoZW4jLo8R6cbLk8mDnzXuxVn/ELH5DuxzCQAKZluh7m+QYYZyFowneQj4Ht2u+jZUDyXPyvqYv7mWp5L2LadjbxtNfur+npfPIOdZkJuTgPblsoW67UtOkkNfjZ6/Mez7Z2C/WV/RMezYAkBh2oxDkx5inG9hKFkghxbnuUjK8pok75kWWjnP51RupJz8Q2t5bOqRK6CXBUIIIfqRiPQboaOpQwghhBBiObqx7liop4fQywIhhBD9h3IWCCGEEGK9UM6C4492GQjzUVz2RRFbrlkbQY7AYmmBDTkvz5ClIFnL5VmW2HCtNlngFCl018oLuD3OYm3a79essnzAfmY7RHt8f4x0iJg9fv4xrb3P0P5s6zbugxbV48K0aZCsJV2dQsj5XKz1Hvfllh/5X9jxrB7y22pbzaVHYWj1MX9Zjlx3y+Ln8bu9V2EcSkL5G7v8tkHqr4PnJ/HyO75x2G0rkNxi2/WJvIHD7Af2Je2rTPhtbKl5+OxkYgzd749hQ+WbwzTX6NqYOC2ph+dpOSeMj6UPgwdbZlt2mD8AFOvmGmNrTnNNBdqxQJKAhrFHrB4mWYSZ/7PbaO6RzMVe12w3yNjrmsM5bdu5L9mS0c3xnFBPlp9wX9qybB/J9qT2vmfvK8zC9dXKeIuvnAVCiKPBWtaVpsnaztq3snUiSQ1KU8lNvFin9cGokeGRDV4Y8PKB2vakLD+ri0e8/Z+1QGwO+DVBYyR5dpfYVrHknz/2np0b4s73yKOUKKSOmVrTWWkd7ZhTbZvkfLXxpG/tMx4ABu+j9pgxa4+wbjj7RNsVPw8qh5KFZHuQ7BnnyAq6Yn2G2U/dNo7amiMVWZVVolgT/Zqz4KitE4UQQgghhBBCCNGfKLJACCFE/yEZghBCCCHWC8kQhBBCiM2BZAhCCCGEWC/6VYaglwU5hFZiD9Y2cqXmoC9XnsmugzXTVkfEOjDWwNt92dbQavRZ28zYSRfI/cXmTQikmyu3smcr5ywIraQ9DdKfp6xi3I5UL+VbqJu66sO+M22+A24P2zdWJ7NF3sH0O+c+YMmYzWHAbeV9a1uSnaf2eL1byWjF2U6vOEdWTZeckew34/VtczsTLePkqWShdNifs51fR84ec9vGvnvQfW8OJZN88ICvZ+bEbA3+1Im+DZXJHBslK+tbRveYZ5PZoHlRtzkC6PjBjNnsTr8f23ZabX1tzJe1861AmnvO22Cv3aZ3vsTQ/mzdP+cwsfeDVFnSZdr+5HuHbS/bIbIlqp0zzSG/zeYwYQ0p2yHa9nKOAr7v2LwlnA/Csqg3zbu/CCGOT/KeKcvZzpm1RWvA3xTLhxJPabYtZJ19c6tZLJJuvGG081aPDwDlSbIkdhaMtM7Y5ZMKNUZNTqFJv6jkZ5M7Bt2Hba6b3G2r+BMo19Mu+vO2/Vcg+8FobY95nUZ5HCp3HVr8XLt4t982ld2XXG99e/LQK1J+Cs4z0R6wyct8UWulyDmE7NgCQCibvA1snVjMsbMU4hiilwVCCCH6D8kQhBBCCLFeSIYghBBCbBL0skAIIYQQ64VeFhyHmEG34eccym8HlbdxqLoNbeZQ3byyHOrsDs8h2yRnKJt6OdzOWR7WKSSZQtZs6DWHfts25FnQAUBj0NgSNf22ua351oUWG3rNx+S+bAyZY5K1XSEmYWBFCmlmGYkNxWbbOQ4Ft20a2E9ja+uZIAnFmK+nfCTRmRw6z1shzW3LDtOe2U1WSGZuDu3zE/Xgpdvd96H7kj5hG8qt38u2wZvdSW03MpeJ0/2Esn3SIlcillDYMHcOwedQ+rIZFw57rI/ZMD5fj52XTCp809oSLWPjVDZSCJbL2DnC84fnqT0XlkVwG6J1XyKZki3LUoe8exDf21zbaY7wdWTHiO0QizW25TL7cVkjfViQK7RyrDOFEMcpObeFXCtA2l5o+JtrezBZuLFVIlspRmPB2GQ5w1SyUCs0fD2pMHuzTipN+sVgcdovkspTyU2zOeQXmaXp5Jih4dvaGPM3W7a1tuSGwOdIPDjsv0DrP1tvq+r7xEpD+Jkf2rT2mk60wQVaf9ZHkzEZOOgXy6UJ35ct2yd0zm1qX8uM9cC90759pq8LJF1pbvHaxMJs0qaYY2eZN7+F6DZ6WSCEEKLv2IgEhyGEAQDvAXA+gFkA9wH4lRjjzWtriRBCCCF6mX5NcJj9pzQhhBBCrJa3Azg3xngRgA8AeOcGt0cIIYQQ4qjQywIhhBD9R+zSD1AJIYzRDwln5g8Z41yM8SMxLsasfhnAacfk/IQQQgjRO3Rr3dFjkQWSIeRQaHV+AK8VYusTq2dmXW+TtLxWAx+p99st0nMZaRrXyxZnjhz9PuchsKEurB+rjfp3SVaXzHaIBdM+1ndzHzhdGmmSSzN0heRYTVqde6p/2JbSbG+XSHtmdIfVCV8Ra+MaI0nZ8pQv29xOg+L06H6T1ZFbKx8AGPQuhrj34aOLnwcO+rI2v0F5yu+35Wavx7Na8InTvZaxOeTPc++/3rr4eerBe9w2qzusTvj2WNsmwOfP2PJD3576SDK/OCcH58TguWkp1njOJO3juefGM6WtpGrM9sqR7ONH1tWTRtLlImCdofle5rlP2Laz/SBfj/aYfK9weROoPan8C+4Y/ntjxM69lT/ZOKcK64WtFWyedndRp7qMdWwXeBmAV9Dv/hDAa1aw72+gE10ghOgRWHOfymFgtkdaA8yNJxrzYp1vmKSzt7kG5mhtYWzwbC6BzkbS2W+xDxmyayRdu9XWV+845DbNnb7NHJ/yGVD73Do39ZzIud/nlOU8CCnrRLNz2qow+cjPkOK0fzg1zzpp8XNlghN+2ZwTZLu8k3zRDZxfi8+zcijJdxDJc7s9lhyzOURrpFXYI/I8FWK90MsCIYQQfUcXcxa8GcBraVNO6tX5fUN4NYCzAFy1tlYIIYQQotfp15wFelkghBCiP+nOA7ceY5xczQ4hhN8G8JMAHh9jnFmuvBBCCCH6gB77j3430MsCIYQQokuEEF4O4GfReVFweIObI4QQQghx1OhlQQ7tIhDmJWjR6fV9OavzZb1+JImR3ZfLcj4Bp9enemy+A97GembOPZB1DPaqZV2Y9TxnTbnNNTBw2Ov4ijXStQ8nJ8rat1Rbc/rAtq9F6cYGDvljNgeTerntA4cTbdws5R1gHXt5Omnv3FZftjGcrSeb3Z3tJT91qh/4rTf6tg/dl3znnAqV6WTbzE5fT/Wwnwj1UaPVq7BG07d36pIkT8HQbf6PqnMnJTkUmkO+g3Z+a859bw4mbapt8e2zGvzh+/w58zxoDiZlBw/4sjxGNocBa96txnR2u9+xTH//tXkAeGyt7j91naR09ku3DfDzoD6Src8HgMqRtinr216dJM9sMy4NGiOre0xpIjnfiTlPzv/gNKQkL62N07mYvAKcF6FVze6v5coCKXlvQjeSBK3eOnEPgDcC+BGAT4eO7rcWY7xsjS0RQhwjUhp8e5vhTUZjnr5f+hthq2qeebQuK08nSqbWACeW4WdTclNs07ZCg+79Y8lCbe6BO6nxycfqId+glB7enHd50ieGaQ6btQTldCg2/E3btZdTPPDa1Zxnc9TnVBj8zp3JtlN3uW2FWX8utj+Lc5QraW+yWBy+259XY4RzLplOoDkS6PkcTe6r1rBvu2+bXwdF6i8335SiYPPRreSEPRadoJcFQggh+o4u5ixYMTHGO6ElnhBCCHHcoZwFQgghxGZhAyILhBBCCHGcosiC449iPaI4P2ItYyPDYc82FI3D4Rkbyh8ofJllCTYc14ZhA0DRhAcXqR5ugz0Ot71pwqsrk2S/NuDL2vBqe3zAyyJmdvqDDN1P7TMRWoHi+EoUpl0bs/3OofzWkofaWs754x5dhDPbjR0i2ddx+HlzwNjFLZO2zNoR1sd9vWM/Mm2lsHWeB+UZEzq/w2+c25b09eD9PpzNhUACKM0mndSqsH2PP2ZtPKn30OO3uW07vm3CJyv+GEf2+Mln55CVcADe0o/nTGr8zKmxXIfnRbtsy7J1qbF9pPnOlod2rBkbepmyEaX5xfW69phDDB4gK046/pyRcfB1PLeFNUyGlHzHWpdyHK3/6q4Huq/YedoYzP9jet59Ly01MM2ZzbaOWpwHPfZQFUJsMvJuXxwqb6RsjdFi5jaAJAslDvM3a7gaWzb7G7yzmya7v7kdfqFm12K8bhy+Jwm7ZwtwpnJwdvHz7InDmeVS0gtqn5Ul8LM6JeOYSI7JErnm3kRSEclysb7Tt8/KH9u0Rhm9JTlGY8zLBViO4uzCB/3DMdU+cxweaytZKLDsgMYhf86Yjzl2n0J0mxwxe+8TQvidEEIMIbzF/G4ghPDXIYQDIYSpEMLVIYTdG9hMIYQQ68xCOOBaf4RgtPYQQgjBdGvd0Wtrj037siCE8FAALwHwbdr0ZgBPA/DTAB4D4CQA71vf1gkhhNhQYpd+hDBo7SGEEGJJurXu6LG1x6Z8WRBCGAHwbgC/BOCQ+f04gBcBeHmM8VMxxm8AeCGAR4QQHr4hjRVCCCHEpkdrDyGEEMcbmzVnwV8D+HCM8RMhhN8zv78UQBnAJxZ+EWP8XgjhdgCXA/jyag4Si2HRes3qq1NWaUb2VPLOcQikBW9V7Mb8slaXXCItvdULF1p+W32AbHemku0lyjVgz6Wd7fYCAKgcSfZtjGSXY2tJ1l5bfTzrvdnmzeYFiBSXY7XOnF+hMRQyy7KG3Gq/Znb549tzBrzl4Az1wcBBKmvGaPgu3576WPJ56F46L5oH1iYvpcE3X23+AgCY2lNx3229PNZzO30bhu5NPhdrvuzM7mTn4XvYssi3YeL0pCxr1e38HzhI1olj9B7Tui+Rji9tV2p07XSHCy73ga+nNZKtD+Q+sNcc5w9g/b79zvp8ez2yzSPjc1eQLrROhU1VbNfodJh0/XHfWl1tKr9IIv1M9XPKIstWyUPLlmLmfsXtsflOFu5d3KfJgaAEh6LbrMvaQ/QQdA+w9+nSTM6NDl5/zpryxniyaCm0yG56ukFlq6Ys3bNJZ2+18wMHOQ+Osa2m82rROq16W3KDL9YG3bbyZPJALEzOum2tLUPu+/Te5Du3vXqAznNndm6Eyu0HFz+3x/wxitS3hZGkv5ojfrFj8xSUj9Dxx/yaqTxl8jwNcrIy/9XmAgq17HnRppwONpcUsMw6wFmdZ69jAeUw2DC6FRWwyjpCCLcCqAFYuCBfF2P81y60BMAmfFkQQngOgAcDeOgSm08AUI8xHqbf75vfllVnFT5912hWWSGEEL3PRlgniv6l22sPrTuEEKK/2GDrxGfHGK9b+9HTbCoZQghhL4A/B/C8GOPccuVXwasATJifO7tYtxBCCCE2Kcdo7aF1hxBCiJ5ns0UWXApgF4BrQxJqXATw6BDCrwF4EoBKCGELveHfDeBeZPM6AG8y30cB3BnacTHUJ7RMaDOFcNvwbraCidTDNuyfw2c5nNpt49c61q6R7M9YamCPw6FKPpyaLVz8IRsmQozDg12Ie4nC4qq+rLNjy4+8duHN3B4b9lWvcGhXtmwjzxLPhkADQH2MwqDN34F4vOqjFMZ3KKmLpSsuHJ7mE9s3WnkB21tamQZLVea2U6i6CaWvTNAxp9hi0IaC+7JFE7lXvctXNPUAb7O4/bvJunridO+9Z9tbH6UJzpZKM7Y9+eF2NjyvWOe5l3Q8HzMVSm+o0Lywc4+veR5rK4lhKytbtuEjK1PzqzRnwl995GcKexyeF/Y8Wb7Ab7ObRlbC96tGdsRoqr/stcvXX8tHfsIOvu1nAGjZe1RIFfdIhiC6x7FYeyy57uhmo8XKYBtB+wxJrZmMPSI/i2yYP+DXV6GVfTNpDPuHT1576mNUltpXPtIy2+hApglzW31bBw76B1ft1ORZXiBrx8LNdyRfTvKGH3O7SbIwnfQXh863ad1m+7ZV9dti2Zz3j/xlEh9wGrKo3uc9rhtbBjJKpi0s3TxoZNswA94ekS0Py5PJg7Zd9v3O5+nW5DnzICVjluygN+iuDKESQhijLbUYYy29AwDgH0PnAfVVAL8TY7w/o9yq2VSRBQA+CeBBAC42P19HJ+HQwucGgKsWdgghnAvgFADXZFUaY6zFGCcXfgAcOSatF0IIsT70YUZisWF0fe2hdYcQQvQZ3XVDeBl89NkEOhFpS/HoGOOF6Ejl9gP4h26e1qaKLIgxHgFwvf1dCGEawIEY4/Xz3/8WwJtCCAcBTAL4SwDXxBiVYEgIIY4XuqEd1MsCAa09hBBCrIAu5SyYX3u8GcBracuSUQUxxtvn/22EEN4C4KYutGKRTfWyYIW8DJ1c3FejkzzoYwB+dUNbJIQQQoh+RmsPIYQQ3aI+H3WWSwhhGEDZSOB+FsA3u9mQTf+yIMb4WPo+B+B/zv+sre5CWNQlWbu/SNpdu63F9oMpXZGph3MUsEVPnkjEtIFzFKTs9QpLfwa8Joq11k0vPXPnUp3gxiYfWYOcsugxORYKnFuA2mdzBFQPk27c9Dtb76Xs9XJsA/NsMW3eAQCobU3qLebYUPJ37gM79pyjgK1zhvcl58b6+K3fTe4jBy4e9/vdRfkXtpi2k50e59aojScDwXkcaiY3w9ypW9w27vfJU5MB5PludfXl6WVyRdg5Q7kr2KbPtqFNczEWkvPiecoWflajzzr70Lb5A3wDOIeIPQ6PtZ1PPLbc73OmLN9XBg76787qkcraPAVst1micbB9wLZXNodCm8Y21Zf2vsc5MNhu1ugy01aO5mPw/6ZQzgJxDDmWaw+xvrDem/XovrD5SM+e8pRfBDSHzI2RnutOH8+5Yob8DbU8ndTLuZvyciFwvZXJ5MZcaPjG87rD6uwLE173jxN3LX5sjfhcRDbvAAA0h5Nz4ft5MWUxmJS1uRcAIA4Z+8jtW902XhLY8eMcBW5sqX84p0KrmrSH+ytvnc04S8Z29jOW2xRSDcw+hugRupuzYKXsBnB1CKGIziz5EYCf60IrFtn0LwuEEEIIRtaJQgghhFgvNsI6Mcb4IwCXrP2o2Wy2BIdCCCGEEEIIIYQ4xiiyQAghRP8hGYIQQggh1ouNkSEcc/SyIIdYMDokM3CsmbZ6N/ZXrRzxI96sGo0y6XxZ62z1zeyVbvXevF9K02Y0Uewlb0NdWmQ/m9LgG2/3YiM710CJDKBS3rrFsORnIK2LLhhvW9aENUxf5um+AKBkNPqNlNbMaOdnfEWNQV924KDVU9MhqX3D+5IOnN3OnsbtzG2pes2cagz79hzZuwVZjN3uJ8LAYbPfHn9Mznthx7dJxyzUk22Te30CCNbku/wQpLez87Y+TnOf9Pr2mmum5qnftzRrx4jyBxh5ZYm08tzvtu0Vao9te3PQD3y6fcnnxkh2W/k65vtM0fQ75wRgbA6BAon6bQ6FCuUe4XuSzfkQatmCSR73VpXuSe3stqf8oa2klA5p5+lCHolU7hdLjz1whRC9z0o961O5Duh5UzY5AlpD/gHTLiXPjdK0vykW6v6ZYu+fRcoJEJr07J5NHjixxEmqzLOx6rcN3O3zErSMzr414K3eQzNpQ6Hp2zNw77T7Pn3a6OLnwYP+POd2+PVDY8jmSvIPwOa4eXiP+IRDsezPxebiKs5xHolkHOZ2+3wL5ckWfU/yNrSpLwu04CvUk32bNNbIyYGR9/xLYXP2UJ0rnbNiHejDoZAMQQghhBBCCCGEEA5FFgghhOg7AtaePFrJp4UQQgixErqx7liop5fQy4IcQjsJb2/lhFNXTNh9oe63cTjKwOEkZKs2RqFmFIJv7e3qo4G2ZbeH5QS2LEsLnISiwMfItnjhkG1rfdcuU5g/W7eZEPfZrQXa5svmhWkPHkzCvmrjPhaZ5Qw2LLtyxIfNWQu4Els5UtttWHvKKofGujFswgypL630gLdFnkOmDRzCbS397Nxaqj1WujJ0vy9bPezD72pbTIexNaG5Fli+MLPLd8rgAdaHJDSGjB0inXPK+jLkhLG3s7+XZ7PnMEtMUn1rrENrJJOw7WVJToVkOLZP2CLS9SWF8hc4vNTIAFhqVKA2tMw12PKRlrl2iK1C9nmyvMKG/3PfcXvsPYHPKxVOadqUsl2195ZI/zLKWSCEWE9SFslG4niQdG9mW6j7hVlr21BmtSw7KE35h2d7MFmctYu0SDHh+uUJf9NuUWh/wVg78tp05qTk4VicYwtG/6AY2G8sGGf8McsDft1WOZz0Q6vCYf7JcVq0Hz8nXNlBkn+YPrCSys62lf8XzfZPpxHJR7aEdPKUlEX6KuQEYYXlxMahnAVCCCHE5kDWiUIIIYRYLzbCOnE9UM4CIYQQQgghhBBCOBRZIIQQov+QDEEIIYQQ64VkCMcf7SIQ5qVRRSMLY6261dKzfpk1UA27L8mjOOzEaoJZ62yPmQpXIQ231Rqncha0Q+Y2xh6nfIR1aqYe7gOaZdY+skha9foYW+gln1nbXxtLOogtD1vU780hK/byx7T2jax/Z837zA5rs0jawdnsMeJ5YfXwszv9hNp+I9kLmfwBNkcB18u6etb9W+s91iA2h3wb6iPZ2j3bl7Vt+br/AZNXYm6b1xlae8SUPWOTr6PkM+dJ4Hwedlz4+pvbYvSK1Ad8Xdu50KJ+HzyQnNf0bn9eRbahNPOW50xeP/MctrS941TaqtDKKVnPuYztoitr8wfMZttQ8lxjnAVji+wj5/h+Ya1VuT3J5wXJZiTpaFIAelkghDhmWIs+AAh0w2BLvyyaY17nb234AKBhbAxL036hFhq0aDFrC66nvjWpp73FL8zYqtDaNda3kEXykaQsP2MLZO1YnDaLvDbli5olW0Obi4AeKc2hZFtrgPIZcB4HY0VZqFE+iJ2mr6nrSjNk1zhszjuVFyHrwQNnUQkAsZC0l63E+XvPZbYTq6NPXxZIhiCEEEIIIYQQQgiHIguEEEL0HUpwKIQQQoj1ol8THOplgRBCiP5DMgQhhBBCrBd9KkPQy4IcCq1EI2v1zC3yGy/Nmi9sdc9Cj2j0uNT7edrd6C1w3URiz/XKdLYuuljPnoGsh69M+e02F4HNUdA5hvHvnWFdmj/m7I6kbKoPqKzV5Kf0+uZcWDPdGOayyWf2tXW6bBq/2e1+AO3bPh4vm6OAy7KmrljL3jZ5iu8UO75c1urPh+8hfeIo6fpMX5Zm/YlO7/bHrJh8Aqydj4XsnAD2vAB/Lu46AVA0bQ9TNGdz8hA0hvKP2Rg2503TfXhf0ke1cd8/PBdtDo/KBI21Oe8yt51yR5RM2+e20Q3B7MrXJuv1ba6IKrWn4W25HZyjwOZCaYdlcg3k5CJwuSGKPEeoDeb6S+XvoHwLLndKKr+I2bTMw1SRBUKIY8lyenOb06A5XnXbijPJjTmW/A2zWeVnd9uUpdwxI35xaI9ZaFH+gFryvdDIv/c3RpIHIuchCEaTz8+XIuUhsOdWmKXFaovXReY8eY05nrQnlcuGnik2xwM/m0rTSRuag1yR/1qeSBYXtR2DvijlimhXstcdhaY5L1p/5uYo4OeP8hn0PP0aWaCcBUIIIYQQQgghhHAoskAIIUT/IRmCEEIIIdYLyRCOP2IwqoGc8B9rg1eco3DcnIijSBFQqfAkQ14oMR+Dw3rzJAs2zLgylT87bYi+lR0APizM2tMB6XB924Yihf1zOLW1hCtP+232PNsjfhuHpttwQZYzWCs3DkXn/rLMkOUhl7VtsNY5gLeS4/D85iDJQYw0gy3zbN+2K/kxalYmweF3HBpu51RaQpFsHDhIIeXUt3bepqwKTbhkSkozmW2dyKHxqT4x/VUhi8+GsYjkY5bIOrRl6m3Q/CoZG8EiWXoOHKDzzLEVteH6LIFps9zJhP2zxShbYdpzywtn43tHSj6QIwlw+y4THumkD+388bNzsdCkkFtz3SxYVMbm0icoGYIQYj1JWSlaCz26R7aMLV+bLRYDryPtc57WV216kJldW4N+QePkDLTebFV5PZMck6UF7hgD+f+NaFqZxKiXTLCMw54bSx+qB5PFBK8BWMZRnEnaW6C+Lc4l2/i5ybHW7aqRUU75RXhzxD+4inPZi8W8tX0ukh1sOiRDEEIIIYQQQgghxHGBIguEEEL0H5IhCCGEEGK9kAxBCCGE2CToZYEQQggh1gu9LDj+CO1ER2y1vJw/wA0q63o5L4G106N6mqRRtpTmqJ4cvTDrz+2+LbYpM2VTen3SULvjs4DFVFsm60Y+ZsNYOZaPkNaajmm115z7wNohsm1hynbO5gGgi7BpbBYLZF/H42ct4DjXAGuv8/rPjj3r5ob3+e9zW6w+3tdjx4FzVXDbnQXiMlo4l2uA7RrNmDRozrLOyo4ZWyHZOcz78X3S5tNoeAej9Jwx33nu8Ry38PVn51SF5qkf6+wcIUB+XoKscgBQnqHt5jBtmjOcz8NZDNIxbb6DIluV1n1Zp00l+1ae/76e7OuI73tsv2n7j3Mq2H0XdKBHrQcVQoi1wDmplrFSzIJt+Dj3QWsgeTiUZrw2vkWafHu/Z+vEVtUmj8m2LQT8uoRzH9jz4twC/JzP64PaFr9oqh5IHkCch8DSpvwK/Ayw+wbuW1OW21qo+b4tNJLvNscEABRr2bkiVoXsEcUmQC8LhBBC9B1KcCiEEEKI9UIJDoUQQojNQuzSzyoJIZwdQvhSCOGmEMLXQggXrPlchBBCCNHbdGvd0WMvCxRZkEOrAmA+9NaGdqUszqyNIdWRst4zBTisNxXCbcKQ8yzNWHbQGOSwXhvXS5tseDC543DIdn00JyzM2swFjh2mwjmyDZYwNIeM3R+FlFtbIrZcTElFbGh6yjrRWrX53VpspWPOMz1eNA5G3hDILs7a+7HdYH3U12ulBywJcBZCHAEZ+Re2Tg6rz459Y4kHyxssKVmJ+dqs+rJOhkDXFM/3umkfj1GF5kxjKLusPybLK/x5ch85THtZvpCy7TTV1MdpHpg5w9IZ7gM3D+r5Zd02limZ82LZAcsHara9bP1l5kWe7ADw12NtnPvZl82bi+5c5g+Zde4BS1wDq+QoI0LfBuDtMcZ3hRB+CsC7ADx0TQ0RQvQ+R3nDSFku0rOpNJssJDl0PiXhM/fDSDf/0nTTlCOJXoXtnU0oP607WtbisOkf3u2Sv/lbW8jypH/gVCap7UY+kJIzxIzPACqTfsHXdvVkL1jYEpKfF01r9cj9nGeTuRokO+grurHuWKinl1BkgRBCCNEFQgi7ADwEwD/N/+pqAHtDCGdtXKuEEEIIIY4ORRYIIYToP7rnhlAJIYzRllqMsZbeAXsB3BNjbAJAjDGGEG4HcAqAm9fYGiGEEEL0Kn3qhqDIAiGEEH3HQqKhtf4AeBmACfp51cadmRBCCCF6jW6tO3otwaEiC3IotBKbOGd/RnkIiuY762dbpNO22mxrBwcAtTG/c6uSPVvKVuvMrja0m9XEs/2gtZYrNPJnp5W/VaZJp1ZLNtbG8jV11Qmzb0pvR1Y2RuLGev3yTFJPaPu+4/wGNq9DgcbP9h/3JdvXtUzOgpQtJmnsqpPZeQks3D+sI7fbbR4EwM/FYp6lJ/LzbrDu3h4zpcG3/UfH4DGydo2cR8Lm7KjTnKlMZOc+4FwCtVG/79D+pIFzW/0gubbTkKT6wE7THKtQhi00bVnOa+FyYHDeBraaLGZfn82cYxbJdtW1IdUHpHE1+6ZsDJv2HkTXG+UwsNalqYcgO23ljJG75iL9e+x4M4DX0u+WiioAgDsAnBhCKMUYmyGEgE5Uwe3HsoFCiA1gmXvZSsnLL8THYatl3jcYK8P2gH/+NQeT76UZ0uu3+GabfGxV2Z7Rrm38MUpzfoFln2Ptqi/bou95ORXsMW0OBwBoDGf/V6Z8xJ+nbU8k28lWMfvvpwH5/Z5LTp4uITYDiiwQQgjRf+RlGV7ND1CPMU7Sz5IvC2KM9wG4FsDz53/1LAB3xhglQRBCCCH6mW6tOxRZIIQQQhxbuhHKd5T7vwTAu0IIrwYwCeCFa2uFEEIIIXqdbkkIJEMQQggh+pQY4/cBXL7R7RBCCCGEWCt6WbBSYsZneD1zu+K3lUmjbLX0LfIT57J5OqfGiPE4J00y51Qo5Lyhsm23vunAElo485XzK1g/e9am8xsyq2/mtnIeAKt9Zj18bay4ZDkgrTGvG1179bAv2xhKCnNOhzZb9Obozbh9eZr32lbjU0xtT/WJ1bXn5Tdg7Tdp4Msmz0RjmBrEckXzPZ0rwmgHa35Hznth8wC0y1w2+Ty0zzc2lVujkqN5J1xZ6kure2xxXgsKLLdzkXNZRKvR5/lN9wCbf6E+npO7gsarOMsJIcwhU1p+yvkwmX3d2ONwfgUua8eM+8BOmlS+BZpe9jritjOp/BBZBPo3VRG65YYghBBp1kl/bvX7vC6LgXLbVHnRYjD1tAb9Db04S9p+U7bQoBu8vUcvk2unWEsewumcVH5nmxuhWPPbinNNU45yEVX8Q6M0Y45ZzF7Xct/Z9UGKtYy18hQcP3RLQtBjaw+9LBBCCNF3bKAMQQghhBDHGZIhCCGEEJsFRRYIIYQQYr1QZMFxiBl0+5anRWHG1rKOQ5lr4xQeZUKLU+H5HBJsQsxTIcrmOGzPyCHcHIrt6jHHSIX/tim8LSc82Iabp0K/Oaw+L5yaw71tmBjZutl6OaS8xWVNeJmVcADewrJMlpDW8g0AItsLGeqj2e1L2Rga+yOWn7AcpGTax2NgQ+zYUinVvhET4kfSh2Ih+7zaFMY3Z0Lpq0eov6jfrU1lbSvJbsx58XUys9u3wV43KZkLXRv10ULmNtu3JbJgZPu/vOvG9nWBrC4LPpoTzSF7fCprzoUlOKC5F5rZ41uka74xknyuTlB7TL0p21WWMJnvJZJFOJkNtZ3nQXk2ew4zPA7umD32ABVCiK6TclJcxY3P3j65HvMM4ZB7liVYiUCke3LbWA6WjvgHcqtK8gbznG0O+wdFedo/LFuF7IdDayipl+UDLFlw9oi8tsnrypTEOFv+IcTxhF4WCCGE6DskQxBCCCHEeiEZghBCCLFZiLHzs9Y6hBBCCCGWoxvrjoV6eoiV5p0WQgghhBBCCCHEcYIiC3KIhURfa/W5RdIoW71uKrdAji0e63xT2meji2YNsK2Hdcas+bUa4bz8Acu1vbYl2y7O6rSXs0az+6Ys1mhGFkybWAtuczyk9N5EeTr5nNLqGR07W0JyPojKETMmpCkfOOg70OYIYOuc0mzymecTt88eh9tTnbAaRORicyNw27lvLY0h/93meEhb5vl664Nmv0l/XtZOj/N1sL2lnVOc44Hne8XknXBjAKBkNJtNynPBOQzycmLYELFU7hHOS2D6lvvAzgu+/nnO2GuDz5ktD5tD2XkJbE4TzrORB5+nvSeVOZ8B9YGzs+Q5c4xspSRDEEJsSrp1T0zZKceVbYPPS5DClG2TjWGBcyeZakqzfgHK6wVv6+uPn2d5yNiyqVwDeff0VfSXEEshGYIQQgixWZAbghBCCCHWiz51Q5AMQQghhBBCCCGEEA5FFqwQF67PUU02PIlDlaisDSNPhZlwvca6MM+2jCUKaZu+5DOHiDVtODNV0xiiUGcTJl0gOQNbwrn9KETahlBzF1i5AAA0TRh7k0LVyzPJZ5YzlChU3coUWuXs0De2Aqy3fcVts29aPkDfTRPaJJPIlU3wnDF9m7INtHIU2q80k20DyXaIeXeC0lz2MRspOQNPPiOhoPGzryo5PD8lqTBlWULBchk7vilZSzM7dJ77ve3qyTlPDl0kSYeVN/A1ZedtnswGoHGIfE35slaewtdG3ViHFmlseV7afVm24UJGuZ9pnto5XGRrVf8V7ZxX2HaOL9x3M2UM7eWlOcuy1v2FEKJXWEUoPcsS/LaV15myLnQbqd6cpG65Noa8W16brJqW5AypeiU9EKulG+uO+Xp6Cb0sEEII0Z/0WCifEEIIIfqYPlx36GWBEEKIvkMJDoUQQgixXvRrgkPlLBBCCCGEEEIIIYRDkQUrxGp3Y46WhDW/bPMWc7TXrHOxmuVCw5e1Wn62Q7TWaIC3R4ukVbe5B1Kae8pv0C5nC7isZpnzGbDe25ZNWSfS2zSrqeZ8C/a82QKO9d9W19wc9mXLU1ZT7hvEGnzbf6zpawz7fe0xizXfHju2rOVP2RpaC78KC+SNhRH1JbfH2ddxXoScfBBs12j7lucety9X22i2pWz5Bv13Ww/r4dP6+GyrSdt2zttQns3O8cDXVJ7VJF83NiQtbx4sZ/9p6+EcAamiOa+Bba6NlI0o5yXIsXp1OTn4Gs85l7y2dSpe+vi878KcyNQHxpjK7bBq1rq/EEJsRtZBr5+Xz4DzB6w0nwGwcsvDVF4G5SgQa6Ub646FenoIvSwQQgjRd0iGIIQQQoj1QjIEIYQQQgghhBBCHBcoskAIIUT/EbH2rMQ99nZfCCGEED1KN9YdC/X0EHpZkEPI8MtMhYdYeRRpbNmHvkj6agv7qttjs7bK+sXzMVnPvJTON9m4dLlOPdR24xfPGjGrxY50fOuxnoI0YtwHLeMJXz7it1XqSXtKs/n12O+l6WyP+uaAb9DAYV+2aLTrPLbct8VGUjal5c/Lt0DjabX9nAOjZfJItAb8biUua/T7Q/v9QRqDfvCLpm/bRcp9YI7ZHCPdP/Xt3DYzflN+m5snlAOA8xDYnAGc04Hne3PItGfKb7PzrVTz7UmPfdLxtTHKR2GvqZSuPjuvBOfAcOc14I/BeRvyiHRIe83xtWFzKqRymNA4uDnN9xmTl4DnZX0k59qgtnLb88q6e29YuowtKxmCEEJsHDHYXEnL5CFY6v6+AlL1rHDfVK6DHtOJi81Hv8oQ9LJACCFE/6EEh0IIIYRYL/o0waFyFgghhBBCCCGEEMKhyII8ApYMdeVwfRtGm7I/ywm5TVu+UVknH8gO611OPmDLcnh+3tsiG4re2dfaBvqyrj20LbK8wlrJzfltHHpdmk0Kp6wlTV9zv6dCm80xOcy/afo9ZZVIHWRD1a3MAEjLEmx/pcK7TRvYTq88SyHdwyuLqascyZYoAP5cZrdxh/mvNkTfhuMDXgbAY9LIsaVky0o7ZuVpX1GbZBvO0o+6ozmU3T88n6xtIF9vLCew8LywZdlSNHU9mjDMEtkq1rYkhfl+wNeGnUPcdpZURGu1mvOCmiUceZaQjSH/vTS3dDkgLbdy1rM0XCmrVTMvUrKpVYWmSoYghBAbyUptDFe0vcvIOlF0G8kQhBBCiM2CEhwKIYQQYr3o0wSHkiEIIYQQQgghhBDCocgCIYQQfYdkCEIIIYRYLyRDOM5xmvwcPTzrlVmH7LZTPVZP3flurPdYF52jrWLrQqt9zrMxTNXJrjaF7G0uJwDpnlm/bHXSfEFwH9hjWuu/+b35F8l+PLNzxsjZ63GOCbaINGMSSH9eqPDESD5yrgibX4Dbw31r+zOlnTfzknMmVMjG0NrkWcs+ID329eGCKeuF497uz+9YneSEFcnHFltNmvPiXAcFmgfO+pK08jwOrt+L2XkSeGxTlqOmLFtf2nnAY8LHtPFbnFvDXptNygmQmgetpT8D6fuD3Z7OS5Btu5p3X6mQ9aXPobCM2NPKVvPuK8i/n67qAdqOnZ+1sNb9hRBiM8C3um7p949FHoButVU5CkS36ca6Y6GeHkIyBCGEEEIIIYQQQjgUWSCEEKL/UIJDIYQQQqwXfZrgUC8LhBBC9B3KWSCEEEKI9UI5C8QiPIh5+QxYo+y0uyTvZv1wM8dbPu+YKY2yaUPKR93asVNbWYfs2hu4rNnEvumsO7Ztz9nG27nt9fGkEdVDflDYo975vNMxm4PmGJxjIseHPtWXOfkXuGwqT4Ehpd83+7ZL2Tp7zg1RGye9vjlmecaXbQ75sgOHaBBtPTb3wSznRfBlrba/xDkUTHvqWygnQM3Xk8pLYOD+Ks2abSN8QZo6SRPGc8/mHuBt9picX4HxfeLbY/NwBJojPGdcvhGeazT2LZsjg+aaPZViw1fk7jnweS84J0bbnlfO/QnwY83b8sh7YC7c9zLzLMTY+VkLa91fCCE2AZzDJ/TyvU+5BkSv0o11x0I9PcSmylkQQnhVCOFrIYQjIYT7QgjvDyGcS2UGQgh/HUI4EEKYCiFcHULYvVFtFkIIIcTmRWsPIYQQxyub6mUBgMcA+GsADwfwBABlAP8dQhg2Zd4M4GkAfnq+/EkA3rfO7RRCCLGBBCQhgUf9s9EnIXoFrT2EEELk0pV1Rw+uPTaVDCHG+GT7PYTwAgD3AbgUwOdCCOMAXgTguTHGT82XeSGAG0MID48xfnlVxwtJiGte6KwNg02FzbJNWFj6MwC0yRqwPJMdAhytldyMP0gk67aCDTVm+YCxXCtTSHnKDs1amlG4OYfvW9Lh3WY/2payoTNh9/Ux356ysR9kS0gOy7Z9wHZ/LJtwx6DQeRt236QxsSH3gA+B51B1KxEYOJxvY2hD8Nl+0NVJofxVrjdHilGd8APRGLaFfdmGkSyUan4jyxcaQ9nvI+25sIyEsdaJzQG/zcoOAG9ByGNi53TudQIfgs/XQsHIODiUv0GSDmuTyWPkpAfLPB2srCVl88jdbMP+U1amZg6T7CAtZzD9xU8LM9TFWv49KK+tbAOZZ9+IJe61mVIFJTgUXWK91x5CrDcsy+u5/60IsRnYoASHIYSzAfwDgB0AJgC8IMb43S60BMDmiyxgxuf/PTj/76XovPH/xEKBGOP3ANwO4PKsSkII1RDC2MIPgNFj1F4hhBBCbG7WvPbQukMIIUSXeBuAt8cYzwHwegDv6mblm/ZlQQihAOAtAL4YY7x+/tcnAKjHGA9T8X3z27J4FTpvYhZ+7uxqY4UQQqwrIcau/Ahh6eLaQ+sOIYToI7q17ljN2iOEsAvAQwD80/yvrgawN4RwVrfOa9O+LEBHP/hAAM/pQl2vQ+cvBQs/e7pQpxBCiI2i3aUfITzdWnto3SGEEP1Et9YdnbVHxUafzf+QYB0AsBfAPTHGJgDEGCM6UW2ndOu0NlXOggVCCH8F4KkAHh1jtG/j70Wnc7fQG/7d89uWJMZYA7Bo1hZCR6yV6ZfJWq48e6+c1zGsleeyVtfOuuxoFrF5VnuA1+jz+dhcA2zLx+eVZ3no8hnQNtaNh1a2JSTrla2FXruUbXVnNe2Ak1PPFzZ9kJOjgPXnTH00ObnSrP+fRG3Mn7hte7pP7H5k/Ue2j22jG+f8D97KMb/tdhxYg8/fndUd9VdpLqmH9eatqj/R+kjynTXvNtdGykKT6i1PJWVtfwBprWW7mFRWnW7TNmTC7ZvdntRjjw8ABZNHgnX/bCfprr9Uf9mxzR8/O/apOUzXjc2RwddG0+QTqNB58Tg469I6W2vZcjm2itzUHFvFFDk5X3rNh3glhBBeCuDFSJSNb4gx/lP+XqJX6ObaI2vdIcSGoOknRK/xMgCvoN/9IYDXrHdDNtXLgtB5mv4lgJ8A8NgY4y1U5BsAGgCuQicMA/P2RqcAuGYdmyqEEGID6YaM4BjIEL4L4JExxokQwl4A3wwhXBNj/GG3DyS6h9YeQgghlqNb8sX5Ot4M4LW0qZYujTsAnBhCKMUYm/PPq1PQiS7oCpvqZQE64X/PBfAMAEdCCAtawIkY4+z8AuxvAbwphHAQwCQ6D/hrlI1YCCGOI3rQDSHG+Enz+Y4Qwr3ohBDqZUFvo7WHEEKIfLrrhlCPMU4uWzTG+0II1wJ4PjqJDZ8F4M4Y481daAmAzfey4Ffm//0M/f6FSDI/vgwdtcfVAKoAPgbgV4/qaGbQXVg261hDzjau0oZ6cegwyQesPWGqXtMeligwLWM1F8gazVmwpSz7suvkkO2CfdfFVokkb7DnxZaLqXB4c5wi2Q/mhc212UpxqXdxi/VmW0uynZ61kmsO+PhpHj9r58jnacczNe45Eg/GWUZyyDYpm2wYOcstuA1W0jCz0zeoetgeP1+6UplKTtRKOADf7xzKz9acdlxYqsJSiOpkcsw2Wfi5ecBNp34vmT5ii0jbBpZ/pCQVZnNqDps30LyN5QN51qXc77ZPWtS31sqRLRhbKYmHrZPlHjnyprx7x3Lz2451Tl8uS4yuf4+Kzv6V+Wz1ltp8GPlRE0J4PICtAL62lnrEurC+aw8hhBCbj26sOxbqWR0vAfCuEMKr0XlZ/cK1NyJhU70siDHXgXuhzByA/zn/I4QQQqyFFesGQwjXADg7o55LYox3zJd7EIC/B/DsGON095oqjgVaewghhOhVYozfR4ZNbzfYVC8LhBBCiJWQmaB2lXVg5bpBxBiXfViHEM4H8CEAvxBj/MLaWiiEEEKIXqAb646FenoJvSwQQgjRf3RPhrAi3eBKCCGcB+AjAF4cY/x4N+oUQgghRA+wcTKEY4peFuQRsKifdW95cgISc23AuCznCKC5YTXMqbI5NoZcj7Woaw5lN551/S3WTFuddkqDnxyDj89Wd05vTfWk8iY0s7fZPmENN+dxsPkXuGzRtIH7mTX51jaQ6+Fr2+nGqQ9cjoBl7glWE9+mTrCa8/KMryiw3aYdP9KUs3bd5pngsbbbUraFKZ29qYfyIljNO7eH82W43AM0Rg2e0znafncuy9h22muMj+FsDJfJU2JtBFPnafZtDtGOOfeDPFtTxuYoAOi6JstDzjfi8qZQB4Wcfs7LQ5C7jTf1mXUigL8AMA7g9SGE18//7pUxxo9tYJuEEEIIIZZELwuEEEL0HaG9/IucldTRTWKMT+hujUIIIYToBbqx7liop5fQywIhhBD9R/dkCEIIIYQQ+fSpDGEVQfNCCCGEEEIIIYQ4HlBkwUrJy1mwihdAef5LqdwDOXkJXHPo+I1B/73QyNafF4yXvNWiA/le6XzOMST7xmVmVXnaip39Ns4RULChOJwLoWLK0Xm1qtnHLJKWv1hPDtIc8B3NoUBF01+h5htUG/PCbavnt7kOAJ/HgfMFOG06/Lg0eWxNHgDuA54zbdO3gd5aupwA8Bp0bk9rIPlcOeK3NQeoHpsngXIWuFeVPLbUJ/aYnFuD6y3WzRjR+NXGTL+n8itQG+z8oj6w11xq/GheBJMXoFXxZW1uBs6zwe2pbQmmrN/IY2RvNKn25eTo4LK2b1P5WGLGZzp+imVN6HJ2Xc3L9ohV3Zsz6xBCCCGEWI5urDsW6ukh9LJACCFE3xEQUy/FjqYOIYQQQojl6Ma6Y6GeXkIvC4QQQvQfylkghBBCiPWiT3MW6GXBSjlGYbV52JDgPMu10PKTqpBj08cWZy7sn84jJVmwFn45dojlaR/7XRun0P6WtcyjtrO9ngkVT2UHNU3IszhkuCxC0r7l7CythV6rnC9ZsLZ0HN7dGEm2FSmknC30rH1kac5va5rw/OXC6m37uJ9jgQqb7TzWFhvW36nHb7eSgfKs76A5My+4n7kvbYi+nYdLlW1WTb9T2L+1EeR50GZLzXp2WSfTINlBypbSjktOuD5LFPhaLU+t/OFhzyXVP2bO8DzIy8DLdpZ5NrFrsXoVQgghhBC9gV4WCCGE6D/a8z9rrUMIIYQQYjm6se5YqKeH0MsCIYQQfUeIXchZ0GOhgEIIIYToTbqx7liop5eQdaIQQgghhBBCCCEciizoNstZiOVYMLJeONc60YxcCJSjgG3UcigbvbzV4wPpN1stqwUnPbWlMewbm8of4GznOL9Cdg4DtuWzORVSdnWkr7aac25Py2jy+ZybpNfP03TnWSCyhtvmKWCNe5O069Y+ko9Rnkk+V6YoVwRZOZZnku31ET9G1kIT8H1dpNwV1oaSz6s+mp3DYG4LH9N8WS7vh2lei8akPJv9BpYtBus2VwRdJzZHAeDn+3K5LNx+lN/A5iLgnBN2PPkaz7XCZFvMnP4LKWvJ7LKp8zRzk3Mo5O5H14ltO/fdavrWzoOFOnl/V3bNCQ7XtrsQQgghjhO6se5YqKeH0MsCIYQQ/YfcEIQQQgixXsgNQQghhNgkKMGhEEIIIdYLJTg8/oghCXFdaWhsruyAty/34si6GnLZJcJxs8pmhunCh5unw56zd8w7Riqcu5ItNWBJAMsbbOgzWwNaiQJbwLElI4xUg8PYiyYE39ruAfkh7kyelVzKTq9o2sOyAwoTt32QJ+loDPkGNAfpmCVjEUn9HNo8RnZbjkSBxprHwYbL8zywlp/lmexjMNx2LuskKNRdNgS/QRaV5Rk6ptm3kHfjpt1aVf/dSm1aVd+gopElLGed6B4eHObPto/GspLrdbarLH3i6bXCrDZ5tqZL1bvSbenC6f1kvSiEEEIIcWzQywIhhBD9RzeyEvdYKKAQQgghepQuuSH02tpDLwuEEEL0H8pZIIQQQoj1ok9zFsg6UQghhBBCCCGEEA5FFuQQ4gr1sKvJQ5C131Lk5SUwGmHWU+fpjNlS0FmaUdkW5Qiwem+ux7KcHaLNGcBWgHntq0z5eqzVY3PA71dosA1k8pl19rafi2whSDkM7L6lWv5gr9Q2MC8fBeD16Nwe2wbOxZCyrzP1WPtDwFsKAn6suV6bNyGV/6HmvqJp8gKkch8MG2tCmrOcK8KOdeq8aOIW2tnjYttQmaK2Ut+6/qKcCnaO2/wTnR39VztnOO9GMN85rwVjrRxT9p+c38DkKUjlkTC78tzjnCG2TXm5T5a9l9nDr8YqcQX1ZFsnKrJACCGEEOtEn0YW6GWBEEKI/kMvC4QQQgixXvTpywLJEIQQQgghhBBCCOFQZIEQQoj+I2LtXsW99XJfCCGEEL1KN9YdC/X0EHpZ0G1Wod1NTQaWPtt8AjllU3OKfmH3ZW241SSznpo1+a1Ktm7c5hoILb9fXttZO2+16Ux91G+rHEn2jcFva1EOg9KU1Y3n51RwTc3xoW8O5OcI4HwMWfXwjYXzL5Tmsuu0OQM430JoU58YHXtjOD/XQMGMIWvy83JiNAf996Jpe20rHdPo7is0D1g773Mo+G08Y+w48FjbfW2dANCkuVcyeRPs3Adovi+TcyJPk2/7MqXlpxwGdkyag9l92SmbXe9qcqy49uXkTVlNHoKjzVHAx1moJ6u+0AULo65YIAkhhBCi7+nGumOhnl5CLwuEEEL0H8pZIIQQQoj1QjkLhBBCCCGEEEIIcTygyIJjTZ7UYBnJgguvXU09eSHAHFZvbeYih2xnW+alLAVNiDSHT3MIt7VyawzmSwJsCHyBwsadRSOfc45tYJEtD21oM7WdQ4FsePxyFn6xYNre8NucnICaw2VtaH+Z7f5c2H++LKI6acPquT0sNci2t3Sh/Tk2j4C3Tqwezu5Llp/k2VuyxWBqzpj2pWwVzdzj82I7Qtt/vM3O/za9cuU+gJPoIJM820kAKM2asnP5b52tpCh9zSef86QFTN62FHn3q2XkV277WmwW2yv1vl2mDiGEEEKI5ejGumOhnh5CLwuEEEL0H5IhCCGEEGK9kAxBCCGEEEIIIYQQxwOKLBBCCNF/KLJACCGEEOtFn0YW6GVBt1lOj9ulfZ2FGGuJczTArFFuG8tB1oKzpttaBaY0+Ca3QCC9TkoXHZf+DCyRM8CcC1vd5dm6pcraikK2/rw8u5wW3NpHZmvcOwdNPhaobNPV43dL9YnZXmBbypbRzlMeglQOhWL2hOKyRTMOVuffqSf5zNaXbOln62VbRTuHeNw5h4LNS8C5NNgiMrffzVhzP5dmyMbT2EuyTWbKjtC2J+c6Tp2nGTPOdVCa8d/ddk7pQNeqs3bk3BqFpcvxttS+q8gtcMxYzTH1skAIIYQQ60WfviyQDEEIIYQQQgghhBAORRYIIYToP+SGIIQQQoj1Qm4IxyERSdjrSsNsj5HsYE0WYmZflhrkhfKz1MCGQbNEodgwYeJkq8ihzgVTlsO70yHm5hhkp+dt8ChsncL12zkh+FZ6wH2Qsn3MaTtLGKKxr0tZRJq+ZRtDDvvPbY8NN09ZS/rvNlSdbfpYUuEr8se04fklPme2ETS7lqep2pyw+hLZW9ZzjslYKURosneiOSSF59dHfdnKkeQ4ta3+xCrGhpLbzuNpJTEpW0UaM4u1P+Tj8GwOOXOGyZMWLCtpytiWJ73I228pnExiTbKumB7k1dJjoYBCCCGE6FG6se5YqKeH0MsCIYQQ/YdyFgghhBBivVDOAiGEEEIIIYQQQhwPKLJACCFE/6GcBUIIIYRYL5Sz4Dgk4NhagnWrbnaOy8lvwJryvP3y4k74WrA5AVhT3hhiGzxzTLaLm2MNvBVG+7J231bVbyuQ7Zy13kv1Qcz4DKBI2nmbM8DmaeBt3L5UHoJV6L3z9OhW919Y5t5ic0dw/oc2jYPNAcE69rKxGEzlUKC22npT+SAGTHvmsvcDfL6FkGcpCLgx5HlRMsfhnA4laoM9N7ZVtNcK5xbg8ayPmTlD8zuVI2CFpObMWrT9K9wv976yXO6DFR6D610b3QgH7K0HthBCCCF6lS7JEHps7SEZghBCCCGEEEIIIRx6WSCEEKL/WEg0tNafY0AIYVcIYV8I4f3H5ABCCCGEWF+6te7osQSHkiEIIYToP3rbDeFtAD4EYPuxOoAQQggh1pE+dUPQy4I+JFfPnKMtTmm/88pyTIop2xwgHXvLF7V5CIq17G18HKujB7w+njXSNodCpw1JJ3D73L7UdyXKWRDMBRwDHaPBHZ9sZ+18LtwGo3PnHAG27VYbDwDVw5z/IflcG+O2ZzfH5nsAgOagGb+6L9uq+O+VI9n9XprNPiaPtZ0nqXnQojEyfcLts7kaePwCzdO2yanA+Q3svoFu6gU6Znl6ZTf9vJwAqbJ5eTeIVP6AVeQzsG3Ka89yeTdEQgjhRQBuAfBtAM/c2NYIIYQQQmSjlwVCCCH6j3YbwFFmkHR1oBJCGKMttRhjbYk9cgkhnA7glwE8GsCz19Y4IYQQQvQM3Vh3LNbTOyhngRBCiP6je7rBlwGYoJ9XLXXIEMI1IYT9GT97AfwdgF+LMebE1QghhBBi06GcBaLbLGs3doysFV0bzOui5SzLXHvzyi5j5Zj3iorDq60MgLfZ/uIweg7Xh5EscDj84IGcN3hUjQ2BZ8u8wlR2NWwn6eqhq5ClGa2qkTNUssuy7SSXtePLcy1v7lnZAQBUppKKWO4Rcsae5QwsA8g6PuAlHq2y39gkWUKebMMdgqUrPJ5mTvEcLppzSUtg6EDWYjBnDqeu07zQftqWe+3m3UeWkQ+s1MZwWQlFjhTqmNG9nAVvBvBa2rJkVEGM8fKsqkII4wAuBPCvoTP3RwAMhRA+GWO8am0NFUIIIcSGopwFQgghxHFHPcY4udZKYowTMAkNQwgvAPDMGOMz11q3EEIIIcSxQC8LhBBC9B/tiPwQqJXWIYQQQgixDN1YdyzW0zvoZYHYEErFAn7x6Q/Hkx/+AJywbRSlUhGfufZm/NZf/+eq6nnKoy7AH7zkyQCAd1z9JbzzfdcAAN72yp/GpQ/YCwB42m+/E/fdM7Gi+p79Yw/GT1x1EU7aNYZKuYSbbr0PP/fq/7eqNm02BiolfPDPXoTt48N469VfwN996Ksb3aSeZqBSwsfe+GKMDQ/gLe/9HP7pv76+0U0SSxBjGzGuLUnQWvfPrzu+C8C7jtkBhBB9wac+2UmRcu+9h/Hc5/3fDW3LO9/xIpxxxi58+MPX4Y1v+q8NbctGcNVVF+B3X/101OtNPP9//A327z+y0U0SPUQ31h0L9fQSelmwSl78jMvx4mekZalTMzXcfNd+fPDz38UHPn99smFen1ssFvCUy8/DEx92Ls45ZRdGBis4ODmD2/Ydwie/dhM++pXvYWbOC+8feMaJeNfv/ezi91vuPoCf/r1/WL6RR2ljxrpjtjy0WuwFrfVTH3k+TtoxDgTgn//7WkzN1nL3W2jP8558KX7x6Q9PtYG1zlZznta8U5sLxv7RFC20o7OFHDjsL8IFrfoTLjsXL/u5x6Xamsq5MM9ylni2vSmdvbHls/aCnW3Z9oip3AKGVD9zLoS55LPtj+dcdQm2jw9jrt7E1Z/9duecjbaecyg0TQ4FHi9unx2/9DZzjBzrRj4mw5afC/kgnnbFBXjEhafjwrNPwq6tI4vbH/LCN6X2u+Tsk/Gcqy7BuXt3YevYIAbKJRyensP3bt2Hf/3EdfjSDbculq03mnj/Z7+Dn/vxh+LnnvQQXP2pb2G2lpwAn2fK5jCDY2Y/mFfvMnkScnOa5OUhkJWiEF3j53/uCvz8zz8q9fupqTnceut+/NdHv4X/+q9vp7YXiwU84QkPxJWPOx9nnrkLw8NVHDo0jTvvPIjPfu57+OQnb8DsrPd6Pe+8k/DXf/Xzi99vu20/XvgL7+j+Sa2BJz3pQThh9zgA4N+v/hqmp1dtTCKOgsc97jycccYuAMDVV39tg1vTHZ70pAfhla94am6Z6667DS//rX8GAHzmMzfiJS9+HHbsGMXzn/cIvOXPP7YezRRiQ9HLgi4xMlTFxWefjIvPPhkXnX0S/ujv/ntx284tI3jjS5+O8087we1zwvYxnLB9DJedfyoOTM7gs9/8odv+pMvOdd9PP2k7ztm7Ezfdcf+xO5FV8rQrLlj8C/4Hv/BdTM2u7KH9qIvOWPz8un/8BG6+az8mpuZy9jj2XHFx0qZ3vP8afOX62zA3U8/ZY/NTLAQ898oHAwA++82bN3wMuslznngJzjll14rKPvicPXj8Q85xv9sxPowrLjoDV1x0Bn737R/BR7/yvcVtH5h/WbBtbAhPe+QF+LdPXdfNpotuIBmC6HNGRgbwwAfu6fxcsAd/9v99ZHHbjh0j+OM/+imce+6Jbp/du8exe/c4Lr30dBw6NI0vfvEHbvuVV57vvp966g6ceeYu/PCH9x27E1klT3rig3DxxacCAD76se/oZcE68TM/fRkA4Ls33IVbb9u/wa1ZP5qt5C8ArVYbH/vv7+B5z30EnvzkC/G3f/dZHDnSP+smsUYkQxDMF799C/7uw19BpVzCEx92Ln7i0Q8CADz9UQ/Eez/1Ldx46z6UigW86aXPwHmn7QYATE7P4d0f+wa+86N7UC4VceGZJ+IZj3pgqu4QgCc89JzU75942bk99bLgaNmxZXjx89WfSf9FZCPYaf76/KHPfxd3759MRTMwA9US5mrN3DK9zCMvOB07xjtj8amv/2CZ0puL2+45hBtvuQ833HIvXvWCx+eWve/wFP7549fiOz+6B4cmZ7Bjywh+4ccfhjNO7uSje/ZVF7uXBbfvO4wf3rkfZ+7Zgadecb5eFvQiEV1wQ+hKS4ToGl/5yg/x7n/+EiqVEh732PPwlKdcDAD4sR+7CB/4z2tx0033olQq4E/++KdwzjmdFwVHjszive/9Km648W6Uy0VccP7J+LEfuyhVdwjAYx9zXur3Vz7u/J56WSDWn9NP37n44unzn/veMqU3D1/5yg/x0t9IS01f8uLH4YIL9gAAvvjFm9y2z3/++3jecx+BSqWEq668AO//wDfWpa1iE9CNdcdCPT2EXhasgYOTM/jWD+5GDMBXb7wdDz1vL/bs3AIAuOSck3HjrfvwtCsuWHxR0Gy18ctveK/7z/4Xv30L/uG/voaRwaqr+9Jz92LHls5/Xj997c24/IGnYaBSwhMeei7+6t+/sKp2Dg9U8PM//lA87sFn4cQd42i127jl7gP4z89fj/d99juu7Df+9uUAgLv3T+DX/uxqvOxnH4tLH7AH9UYL//217+PP3/s5zNWbuPTcPXjb7/yM2/eDf/aLi5+f/tvvxD370wnEn/bI8/GaX3iy+93X/65zzLd/4Bp843t34G2v7NT7wS98F3/4d0mI11f/8bc6bbt/As/8rXeuqg/yePAD9uBvXv1s97sPvLFzLh/63PX447d9DF959/yx90/gZX/+Abz8OY/Bg848ETfesg+/+tp/w6MvPQtPe/QDcdbeHRgfHUSlXMT+w9P4xg23453vuwZ3TiS6tv/9oifhaVdcAAD4n3/1Pjz6nNPw5MvPAwLwsWu+hze+73PYPjaEV/7slXjoA/ZiptbA+z//HfzN+7+UavvTHnkBnvmoB+KsPTtQKhZx232H8IFrrse/fOabK7rXPO7iswAA7XbEl2+4zW17zQufhKc9stPOX/uzq3Hx2SfjaY++AFtGB3Hjrfvwp//0Sdx8R/LXhf98w4s6khQAT/yNv8HLnvMYXHHR6QgI+Py3foQ3v/szOHTE28s/6IwT8fwnXIqLzzwJW0YHMTk9h+/deh/eevUXcNPtnevkzD07MDxMPpCGBTnBgckZ3HHf4cXfv/r/fhiIQKVcXPZlwQe/+N3UzXl2to43vvQZAIChgfTxv/Ld23Dmnh04/7QTsHvrCPYdyvHOFOtPbAPtNer+ekw3KMShw9O4/vo7AQDXXnsrLrnkVJx00lYAwIUP2oubbroXT3rShYsvClqtNl7+W//s/rP/la/8EP/yni9jeNivOy6+6FRs395Zd3zhC9/HQx96BqrVMh772PPwjnd+ZlXtHBqq4DnPeTgedcW5OOGEcbRabdx22wH810e/hQ996DpX1mry/9cr3oNf/dXH4+KLTkG93sSnP3Mj3v72T2NuroGLLjoFb37T89y+//LPv7r4+Wef+1bs27d0fqIdO0bwwhc8GueccwJ27BjF8HAVMzN1/PCH+/C+//i6i7Cwx/nox76NT33qBvzCCx+DM87YiUOHpvFv7/0q/uM/klw1Vibyhjd8CMPDA3jmMy/Fzp2juOOOA3jrWz+Jb16XPF//+d2/ghNO2AIAuPKq1y3+/hWveAqe/KQLAQAve/m78a1v3Z7Zv/aYr3/Dh/Cxj31nyba/4Q0fBgCMjQ3iF37h0bjsYWdi27YRNBpNHDg4jR/cdC/+84PX4tvfviPzWABwxRXJH6++/o1bMtuykvN/0xufuxgZ8qJffCee9rRL8NjHnIdqtYTrvnU7/vqvPo677znsjnHKKdvxnOc8HJdcfCq2bh3GzEwdt9xyH/7p3V/CN7/Zqfvkk7di69ZhLMf0dA233NJZXxw+PIPDh2fc9q1bhxevn+npGv77v69322+66V5MTs5ibGwQV1xxjl4WiIRurDsW6ukh9LKgCyxoeaeN9q9cKgIBeMJDEynBR665YcmogJm5RipfwZMue8Di5w/O50B43IPPwsk7x/GgM0/Ed354T06Dko+jQ1X83aufg9NP2u6KPPCME/HAM07EpQ/Yi99920fceQDAyGAVb3/1sxf/6jw0APzMlRfj5B3j+I03/0f2sedpFxINvdNwLzP/Y56e2vy+VQ4oNH2ZGALaxZDat10ICCaPQmOI8wfkCKqD17aPDlbxtlf8NLaMDs4ftPNz+YWn4dGXnul2PXHHGJ766Afi8gtPx3P+4B9T/1EGgN/56Suxd/eWxe8/84RLMDxUxcVnn4STd3V+PzRQwS8+9eG4Z/8k/uOa5KH1hy94Ep52+QWuvnP37MQrfvpxuOi0E/F7f/URt61l8iQs9NPFZ54EALjr/glMzdUX+43zQfzOz12FPaadF599Mt74a8/AT7/8b9FaCJcy8+cdr/gZnHrytsXvP3b5eThzzw78j9f9MxrNzmA847IL8LsveAJKxUQYv318GI+86HR88svfx83zi9v/9dzH4dLz96b6jll4sbOQswAAQjsiUDhXsd75Xh/1416ajyQshIATto/iqVckffv17/mFVLsI3HhHsvi+6KyT8d9f/X7nmNSurJwXqcKr0Pmn8gfksYZ8Ae44q8lnoBwFQqwLM0YqVyp3HlaPe2wSHfDxj1+/ZFTA7Gw9la/AShA++tFOxN8VV5yLE0/cgvPPPxk33HDXito0MjKAv/yL/4FTT93hfn/eeSfhvPNOwsUXnYo/ee0HUvsND1fx5295PrZt67ywGBys4JnPuBQnnrgFr3rVv63o2Fns3DmWiqYYGxvEJZechksuOQ2v+9MP4uMfvz6138UXnYInPP6BKM4/p3bvHsev/9oTcNtt+3Httbemyj//+Y9cfHkDAGeeuRt/9EfPws8+962Y2kCZ3x/8/jPx4Aeftvi9XC5iaKiKvXu24e67Dy37suCB839lr9UauPXWbAnCas//f//BT+CUU5L16eUPPwtnnbkLv/Tiv8PkZGfN9JCHnI4/+sNnYWCgvFiuUinhkktOw7e/fcfiy4LnPe8Riy9b8rA5CJbiKU+5GOX5a+njn7g+dZ0AwM0378ODH3wazjvvJBQKAe0eCxsXopvoZUEXKJeKeMJDz8HZe3Yu/u7mOzs303P2Jr+77qaVPWiLxQKuvPRsAMDUbA3XXH8bhgYreNyDO38FfuLDzs1/WWD4n8+6YvFFwQ/uuB9v+8A1GBsewG/8zKMxPjyAJ132AHzm2pvx8a/5MKux4QHccOu9+D//+Ans3jaKl/7UozBYLeORF56OR110Bq696U686P+8B6943pU499SOLvyVf/1B7J+cBgDsn5hesj1f/PYteNHr3oPX/8pTFyMnXvS69wAA7j1wBCfvGl/ReXWT799+H174Z+/BK599JR4wr3H/nb/4TxyYmMHBSX8eo8MDODgxjde9479xz4FJbB0bAgB85du34oa77sP+w1OYnmugWi7i4eeeiuf/+EOwfcswnvnoB+HvP5x2Gdg+PoTX/v3H0Y4Rr37B41EsFPCUR56P/Yen8Oq3fginnrgNL/mJRwAAfvIxFy6+LLjqwWcvvii49Z6DePv7r8F0s44X/fhluPDMk/Ckhz4An33Yzfj4V29KHXOBYiHglJ2dh7r9i/xS7N4+ir/8l8/hjn2H8PL/8TicsH0MJ+8cx8MvPA1fvO6WVPliqYDfe8sHURwp4zef/WhsHR3COXt34icf9SD866evw84tI/idn7tq8UXBZ772A3z48zegWAh4+IWnLb5QWG8++ucvwfbx5C8TzWYLH/3q9/FXV6ejeWyf8cs40QPELmgHuxFOKMQxoFwu4rGPSRLOAcAtP5qPxjoz+d23v5P/n8AFisUCHvWozh83pqdr+NrXb8HgUBVXXNH53eMed96KXxb84oses/ii4Ic/ug//8K7PY3RsAC958ZUYGxvElVeejy988SZ85jM3uv1GRwfx/e/fgze9+aPYtXMMv/RLj8XgYAWXPexMXH75Wfj2t+/AS3/j/+HXf+0JOPvsTg6o1/zh+3DwYOc5ffBgdnTXwYPTePs7Po277jyIqeka2u2IXbvG8MsvuRJbtw7j+c9/5JIvC044YQu+8MWb8JGPfAuPv+qCxRcqT3vqxUu+LDjppK34l3+5Btd/90688AWPxlln7cbwcBVXXXU+PvCBa1fUf91mcLCy+Jf8H/zgXrzrHz6PZrON3bvHcOmlp2N2bpkMw8Dif+j37ZvM/Y/xas9/bGwQr3/DhzA7W8eLf+lxOOmkrdi5cwzPfe7l+Ju/+RSq1RJ+53eetvii4Nvfvh3/8f5voF5v4qKLTsHcCtq+GgqFgKfOS3sA4D8zxuyuuw/hwQ8+DYODFezePY57KBJCHKd0Y92xWE/voJcFa+BpV1ywGE5u+e4t9+Ka628FAIwMJuHL9x9e+j/QzOUPPBXjI50/A3/hW7eg0Wzh89f9CLVGE9VyCY9/6Dl403s+sziXzjttNyplnxL+5jv3Y2au7iIbfu/tH8HNdx8AAFQrJbzyeVcC6EQx8MsCAHjV2z6CO+f/Q7R9fAi/+NSOe8FjH3wWPv+tH+FbP7jbJTS84dZ9uOfAZO5fUg8dmcWhqVnUzX8Gv/WDuxc/H8uXBXt3b8G28WHnRHDvwSO4Z+IIrvvh3ZiaS87lxlv2dWQUS5zLa/76v/DV79zm/rJ67Y134ud/6jI8/wmX4oRtoxiolt0+552+e8k2vecT38T756Ugz33ig3Hmns4C661Xf3HxP/rPe/KlGBmsYu98pAEA/PhlyV+O3vvJ63DfwSNol4H3f/F6XDgfLfBjjzgv92XB+NAACoXOCU7O5P/F4+pPXId/+nAn+/Hek7fh13+6E3Joow0sb3jHx/G1629HYyigVCzg91/4RAAd2cO/fvo6POHSs1Etd24/3/rBXXjlWxLLzE9/zedO+NXX/huag9YVwx+r0Dh2N9VWjGjHNsIS8+DIdNJnW0YH0gXExtJuI+bZh6yEHgsFFOLJT7pwyb+efu979+BrX/8RADh5wYEDK5NHPfShZ2BsrBMx9+Uv34xGo4VrrvkB6vUmKpUSHvPoB+Ctb/3E4rrjnHNOQKXil5C33HI/ZmZqeKyJbHjtaz+w+JfoaqWMl7608yy48srzUy8LAOCP/+QDuPvuQwCAbds6/4kHgEc+8hxcc83NuP76O11Cw+9//95M6YFl374JHDw4jWc966E4/fSdGB5Onn8AsHfPNgwNVVykBgAcPDSNP/7j96PRaOH737978WWB/eu55QtfvGlRslGtlvEHv/9MAMDJGeXXg1arjRgjgICJiVncddch3HnnQbTbMSUJyWJ8vPOHkSPLREes9vzf+befWZRQTE3V8P/9WccB7IpHnoO/+ZtP4SEPOR3b5qUFd999CP/rFe9Bo9FZP15zzc2urje84cOLsouj5ZGPOBu7do0BAL553W2ZiRynTFLD8bFBvSwQHbqx7gB6bu2hlwVdpN5o4hNfuwlv/JfPoD3/RJ2arS+GrO/csryWCgCe9LBEgvDJr98EBGB6ro6vXH8bHn3Jmdi5ZQSXnrt3MTT69b/61EWt+AIvef2/4ZZ7Di6+dJitNfDDuw4s/t/3hh/du1j2lBO2IgYfSnx4ahZ37Tu8ZPmTd47nh0jzHF/OVi2PjLIhdsKgI4VxLx47+rKtSsDP/+TDUy933vG+L+H//teXU/u0SwHtckglOJyrN/CV794GFBJbwEII+Mvf/Sk84NSlXwgAHTnIUn323R/duyjXmDD/Yb/h1n2L5zY5PYeRwSrGhgdQmF/HnLozefD+r+dfueQxTzt5+6ItJAAUzAv40IoolpNzK0T/n/BY9OP4jZvuWgzvnzycyCmGxwbQWrA1NOd33d33ojEUEANw/a00dwCcsjtp/xe/+SNnsQgAhVbStjP37MDIkNfWWtrzL20OTs7gjn2HUZlOGt4YKiAWfd0L58GWkO0i8LK//AAGK2WcvHMcz3tC5+XN0x/5QAxVK3jl33xosWxoA4EHNOOayH1urER2s1byrjc+5kolE1ilFEIIcUyo15v47Ge/h79+6ycW/+I7PV1b/M/dQg6C5bjycYkE4XPzCexmZur4+tdvwSMecTZ27BjFxReduqg9f83//olF3f0CL3v5u3H77fsXXzrMztZdyPr3vpf8YWDPnm1gJiZnF18UcPkTT9ySKr8afupZD8Wv/mp+7pqRkYHUy4Ibb7hr8T+nExOzruxSfNvkGVgIo88rvx7U60186tM34AmPfyAe8pDT8a6/fzEajRZuvfV+XPPlm/He9351xY4Syz2mVnv+N96YjLEd793z1ph2nlx77a2LY7EUR5OzgHn60x+8+PkDebkIJLUTxxF6WbAGFtwQEDv/mb9j32HUGv7PnjfdcT8edv4pAICLzj4Z//mF7+bWWS2X8OhLEu37n/3a05cs98TLzk3pqPOIFNLC35fff1XFjxp7HPvWf3wDH7SWQ5PpvAMXnX3S4ouC+w9P4S/e93ncvX8Su8ZH8LqXPAVA54XCUtjIDBvaN72ERm61DFbyL+/J6Tm02xGFQsDocH7/2siDlkneEjLOy7HGufPb/+NKXHre8jkLPviF7+IP/3ZtnsffvaXzYuPr378DX7/xdvznGzqJLv//9u48Psry3vv455eEQNiCiJICVVQQKKjI5goFrcetoj3q0epzHpdqj3VvT49a7WkPLnU7pdoXtk9r0WoFay1WK9TiglQEDLsgm5ZVZDMQwpYwyeR6/rgnk/uezNwJZJkw832/XteLzL3NNT9m+c0113LOkL7k5+UGesR09jVg7MqgJSczhoYhSAaqWQ3BOUd5eYRNm0qJRIJ5x5o12+Pj0wcN6hWffyCV/Pw8zjyzT/z2uHGXJz1uzJgBgYnqDtbBvpqa8tV32WVD43+//Me5LJjv9dq8667zOSE2lCPZ55n/l3T/Z3Sqjz7/8VHfknuB+ZUS8pya69Y08DREylypsCDp8U88MY2lSz/n9NNOoHfvoygqKqRv3yL69i2if78e3PejV0Lvr6xsP+3aFdKpnl50DXn8qTT27baxcxb06tWVU0/tDUBJyR4+/DB1z8xOvpy0LEleKFlKwxAkUc1qCGHemb863lhw8RkDePmdRfH5DGq0b9eGjgVt2V66l5GDj6dDkpnXE50ztC+PvzSDaLSasfdMTHqMmfeFsHOHdrRvl8/xPY5kbWwYwqDja9de3rittM65XToW0OvoLvFhCIOOL4rv+6Kktstfte8J7f/AOlT+L89Hdq5tIT7zpOMafe1xE6czbuJ0chO7rRc0vN7JGlmO9i25+FbxKqbN9bpWnj+sX51jm8rGbaXxZf1uGv8nFn66qc4vvQW54S/vaLVj4/ZSehd1DUyy2BQGHlfE/JVeY1bgufOl99zxP+fOPOV4nntrfpPe/8Fq2yaPimgw4U5MxjoU5BPxTVLpj9m62OtKWpFq1/juD63sA1vEvxpCKu/PXBlvLPiX8wbx2mvzWbs2+EtqQUE+HTq0paRkD2ec0Yf2Ib23aowc1Z+nf/k20Wg111z766THmHlLNXbqVEBBQT69j+0W78o9oH+P+HGbNu2sc25h5wJ69Dgi3rvAf7y/m7c7hLyjW7dOgPel99lnZwLQrl2b+PaW5P8Vv2vXDpSU7KWgIJ9BA3se2jV8Ocjw4ccnPT4arWbatCVMm7YE8FareOzRqxg0qBfDhh1Hu3ZtQsf/b9y4g+7dC+nevbBJJ/Tr3/8r8V/5Bwyo/f+uGVrif54MGdKbvLwcqqqap4v2pWOHxJ9Pb05dHPoYe/b0ekeWl0caNAxGskRT5B3Q6nIPNRY0szc/XM7lo0+m/7HdycvL5Tf3/BsvTV/A8nVbaZOXy8knfIVLRw7i0T+8x/bSvYFVEF6dsYR1m4MfqGNHDqT/sd3p0rGA0wcey+yldSeXq+EcvD1vNVeM8WYAfui7F/LsXz+ic/u2fPeyM+LH+deP93vkuxcxcepHHH1EJ759Xm3XrH8srh0ntsf3gXXZqJOYvXQdByJVrFy/rYERCtpcUka0uprcnByGD/gqt15+FvsrIlx/0YhDul5L2LKjdonIc4f2Zck/v6Bz+3bccfnZzXafb81dyejYhJcPX38hE98q5vPtpXTp2J5jju7CyJOOZ/aydTz75keh1/n4n5vpXdSVHt0K6VCQ3yQ9GgDu/7/nMWHKLPLz87j1W2fFt8/8eA0A7yz8jDu+NZK2+XkM7teTJ267hGlzVmBmnDbwGJau/oLpc73n5fceDZ8Fuzo3ebI4eEAvOh3VIbDaAsA5w7zJQ0v3lbNotZd0/238d3nro5V8sm4rJWV7Keraif/zL8Pi52zdsbvOahb9jqmdROzjzxo28ZeISHObPn0pYy85lb59i8jLy2X8z6/lT68Ws2rVFtq0yWXg13py4YWn8NTTf6ekZA/n+lZBeOONRWxIGKd94YUn07dvEYWdCxg27DiKi9ekvG/n4P33V8a7c99//1hefPFDOnZqx3XXj4wfN2PGiqTn//iBsbz00my6HdWZyy8fHt8+x7fW/R7fePGLLzqF4nlrOHCgik8/3Uoq27bv5qu9ulJY2J5vX306a9d+yb/+6zAKOyf/Jb45fbG5lD59vN6I9917CR/MWs155w2iU6eG1+UL33CNK64cQXlFhJ49juDCC05JevxLf7iFWbNWs2btdnaU7KXLEe0pKvK6+ufkGG3a5IY2FnyyfBPDhx9Pfn4evXsfxdq1dVfYOBQ3fWc00aijoiLCTd8ZHd8+e443d9GCBevYWbqPrkd0oEePI3ji8at5/Y2FRCJRThrUi927y3nlT8VA4+YsaNs2j/PPPwmAyspovXM5nHCC9/+3cuVmrYQgGU+NBc2sKlrN959+g/F3XsqA3t0p7NiO25J9iTToUJDPmSf19s6rivLMlNmBX9rBe1Ov6fJ+/oh+oY0FAL96bTZD+/XiuB5H0u+Yo/nfhGEN04tX8e68T+v0ENu1t5wju3Rg/J2XBbZ/9Ml6PliyNn57warP41++brh4BDdcPILNJWUpezvUPNZU9pZHeGfep1xwen9yc3K48ZunAbB2847QcesA5PiWOQwsqRhs6Ev8cpkT61merDGwzhdRq52rIO+Ad8KqFVv4bMN2+h57ND27FTL+tksBb/WLmt4RzmqXkgwsORdN/iGTW+Xq9oCgdvz7jHmfMfWU5Xzz7IEUde3EA9fWHYs5e8X6wJwFeb7vujV1eH/RZ1x69iBycowRJx3LjIWxyQUT7ro6D6KxDi/+azqSLw1YfqCSx2+9JLDtn5tK+Mv7S7EolOzYyxMvz+D+f/dWgDhnWN/48whq5nLwT2ro6/6ZULfE7qCV7b0H951vn8XQ/nWHLzx+h1evhas+5z+eeBXwhrlc/Y1T6z4QoLIqypN/mBGY06E6F0YM9GaXXr5uK9tKfZOIhSwxmCisAToxrg1dxhAS5kloqrGVjVge0f9YDqrRPew+XYpj4vurqXet1nrvv3VNMiTSEFVV1Tzw41d5+KErOPHEr9C5c0Hgi5hfhw5tGTHihNh5UX43cWad8es5uRZffeCcMV8LbSwAmPjcPzjllGM49thu9OnjLZ3nN2PGiqSTG5btLqdr1448/PCVge0LFqxjjm8yuyVLNjJqlPfDyjXXnMk115zJ1q27UvZ2AJg2dTG33HIuADffPAaAXbv2s3HjjsDSfS1h2tQlfD1W/yFDejNkSG+qqqJs2rQz6VwOycyfv5Zt28ro3r2Qws4F3H7beQCs31BC74QlK8GbA+Cqq05Peq1589YGGmCSmTVrNTdcPwqAoUN7N1ljwc6de7nv3m8GtpWU7GHy5DkAHDhQxRNPTOXBcZeTn5/H4MHHxld2AHjhhVlNUo9vnDswPq/CrA9XU1qaekLyE08sis/LMevD1U1y/5IhmiLviF+n9QhJYw9vZnabma03swozKzaztP00/eWuvVz/yMs89PzbFC/fQOme/VRWRdleupcFqz7nsZfeY97KjYwZ0ic+Q/ziz76o01AAMOvj2i/qo049gfy83DrH+O3eV8H1j7zMc1OLWb9lJwcqq9hfEWH52q08+uK7PPCbvyU9b39FhJt/9gofLF7D/ooIu/aW8+f3P+a/nnkzcNyUfyzl93+bx5aS3YGx7I3xxOQZvDN/NfsrIuzZX8HU2cu5+bHw8XTpVO0cP3jyL7y/+J/s2V/Bzt37mfzuIh56/u1mvd9xz07np//vbyxc+Tl79lUQqaxiS8luilds4MlJM/jTB0vqvcacT9ZTssv7oluzNGdTuPXxV5k2ewV79lewt/wAfy9exfd+/ufAmP/XZ33CTY+/wnsLP6OkbB+VVVF27N7Hh8vW8enG5JMPNZffvjGXhas+58tde6msilJxoJINW0t5/YNl/Pu4SYEGMoBjunehT08vIZs6O3weEkkPV+2apIgcjNaSe5SU7OW221/kyf+dxoKF69i1az+VlVFKSvawZMkGnnp6OosWbeDss0+Mr2qwbNnnSSe68886f+aZfeNr0KeyZ08Ft9/xIpMmz2Hjxh1EIlWUl0dYtWozv/jF33n4kTeSnle+/wB33f0Sc+Z8Rnl5hLLd5fz1r4v4yU+nBI57c+piXn55Ltu2lQXHxYf485T5TJz4D7Zu3UV5eYTFSzbwnz+cHLrcYnNZsHAdE555h+3bdxOJVLFy5WbuvfcVPlkePrzELxqt5r9/MoXlyzcRiVSxfftunv/9B0yY8E7S4383cSbz5q2N32ckUsXGjTv44ysfMe7Bv9R7f+vXl7Bqlbdk98izm26I5cOPvMGU1+ZTWrqPiopKiovXcPf3JwUmk5w3by233PI8b7+9jO3bd1NZGaWsbD+Ll2xo8NKg9WnwxIYQX2I0EqlK2UNGslNT5R2tLfewg53o7nBgZlcBLwK3AMXA3cCVQD/nXL3NoWbWGSgbfO0j5OY338R6ob8cpsmC534AeMMBxv5XQu+AFpj99aBi4t9Xz4oLob/KhuU9Ifdf07OgRqRDQo8F/y/RCX14/OdG21jKfQCVvjkVchNGCZjv9Vszy3/8ugkdMfw9C/z1ue6C4dx5xUgqDlRy8Q+fpWxfRXBliOAqkFiKyYjffPw78VU5hl83vu65Ib8SJ/6/11keMaRnQbLeH6nu01+fele3SVhRw+/2q0Zy3YXD2bl7P2Pv+R0V/gnG1LOg7qnN2LMgGqlgyeQHAAqdc7sBzKzr6NzLdrSx+sdhh6l0B5gZff1I51zdAdYiCRqTe9TkHSNH/YS8vNYxoW9LmfHejwDq7R0g6TV69ID4Uog33PhbNmw4tLl6xv/8mnjvgG9f86vDasx/bm4OL0++lW7dOvHGG4t4+peNm1RZDk9VVRXM+uBBaIa8A1pf7pGpPQt+ADzrnHveObcC74N7P3Bjs9+zSyghzAVLi9UpVf2SJeb+4j/UgiX0MTdVTBKv46ubVSeUhOu4nNoS9rjqravvvKq2Fii5EQLFX5+cqmCpbG/xkhtxgeKvq8vxGg9qSk40WFyOxUu0LYFiVcES6Wjx4r/+H2cuZkfZPtq1bcPlo0/Gqr0GlJpS578zZF+N6jyv+J8j1W2CxR/nxP+/Ovfpe5zVucHir09inRL3WbS2HMz/dXVubckvyONbo7yxjS++NT/YUJBwXtLnZsjjDFwm7LWQeB+Jx6Z6fjdG2OumvlMP9X0u7D6b4zGKNE76cg+RZjZz5sr48IMrLm+980g1p9GjB9CtWycikSomxYZKiLR2ZvY/ZvalmS2JlUkHc37GzVlgZvnAUODRmm3OuWozexc4I8U5bQF/U1DLT48rkiYVkSouuOs36a7GYaMiUsU5d/wq3dWQerhqh2tkK2wm9ryT5nGwuYfyDjkc3XRzyHxUWeC995bz3nsaeijJNUXeAc2We0xyzt19KCdmYs+CbkAukDgd/zagqO7hAPwIKPOVhg8cExGR1sc5b5KgRhU1FkiDHWzuobxDRCSTNEne0fpyj4zrWXCIHgXG+253AjZFK8Nnh02qEeN6m03Ycy5hDPCp1/4s+b7ESyaOpw4bI91UMQm5Tn1dugMrEFSn3lffMImw8fBhdUgcUx71XScnknihkLtPHINfXXtwNKELviX0jo/6lw1IvM+EuRD8c1WGjrn3zV9w0fefqbPff26dIQKpV2mqE8vQ2CY+7rC6N/S1kHhaY+YXOcT7lIZJ9T5dSaT+13M9KhNfGCJNJ2neUVVVd4LBTDfq6z9NdxWkBd1513PproJIo6R6n26KvCN+HciPzWXjd8A5d6gfElea2RhgB/CQc+79hp6YcRMcxroC7geucM697tv+AtDFOXdpA67RE7Xyi4gcTno5574AMDMDjmii65a6TPuglCbX2NxDeYeIyGGnufIOgDuBxJbUcc65/0k80MzmAn0Tt8ecClQCO5xzlWZ2FvAXYLhzbkNDKpJxjQUAZlYMzHPO3RG7nQNsBCY45x5rwPkGnAisAnoBe5qxuoezTnjJjWKUnOITTvEJp/iE88cHYLO+1Es6NSb3iOUdPWI39bpPTe+L4RSfcIpPOMWnfjUx6g982lx5R5J5baBxPQv8154O/NY5N6Xeg8ncYQjjgRfMbAEwD2/5og7A8w052TnnzGxL7OaemmUxJMhqu7UrRkkoPuEUn3CKTzjFR1qhQ849YgnnF75up3peJ6HXfTjFJ5ziE07xqZ8vRlua8weKWKNAk4xLM7NezrlNsb/7AoOBZQ09PyMbC5xzr5jZUcCDeBMLLQEucM4lTjwkIiIi0mjKPUREpBV6xMyGAlVAFLjNOfdpQ0/OyMYCAOfcBGBCuushIiIi2UG5h4iItCbOuesac34mLp3YVA4A42iiLiAZSjEKp/iEU3zCKT7hFB/JRHpeh1N8wik+4RSfcIpP/bIuRhk5waGIiIiIiIiIHDr1LBARERERERGRADUWiIiIiIiIiEiAGgtEREREREREJECNBSIiIiIiIiISoMaCFMzsNjNbb2YVZlZsZiPSXad0MLMfmdl8M9tjZtvN7HUz65dwTDsze8bMdpjZXjObYmbd01XndDKz+8zMmdlTvm1ZHR8z62lmL8Uef7mZLTOzYb79ZmYPmtmW2P53zaxvOuvcUsws18weMrN1sce+xsz+28zMd0xWxcfMRpnZm2a2OfZauixhf73xMLOuZjbJzHab2S4zm2hmHVv0gYgcJOUdHuUdB0d5R3LKPVJT7hGkvCOcGguSMLOrgPF4S2MMAT4GppvZ0WmtWHp8HXgGOB04D2gDvG1mHXzH/AK4BLgydnwP4LUWrmfamdlw4D+ApQm7sjY+ZnYEMBuoBC4Evgb8J1DqO+we4E7gFuA0YB/e661dy9Y2Le4FvgfcDgyI3b4HuMN3TLbFpwPee+5tKfY3JB6TgIF471nfBEYBv22uCos0lvKOAOUdDaS8IznlHvVS7hGkvCOMc04loQDFwATf7RzgC+C+dNct3QU4CnDAqNjtQiACXOE7pn/smNPTXd8WjEtH4FPgG8BM4CnFxwE8BswK2W/AFuCHvm2FQAVwdbrr3wLxmQpMTNg2BXhJ8XHEXieXHczzBS/xccAw3zEXANVAj3Q/JhWVZEV5R2hslHckj4vyjtSxUe4RHh/lHqljo7wjoahnQQIzyweGAu/WbHPOVcdun5GuerUihbF/d8b+HYrX6u+P1ypgI9kVr2eAac65dxO2Z3t8xgILzOzVWHfSxWZ2s2//cUARwfiU4SXO2RCfOcC5ZnYigJmdApwNvBXbn+3xSdSQeJwB7HLOLfCd9y7eh/ZpLVRPkQZT3lEv5R3JKe9ITblHOOUeDZf1eUdeuivQCnUDcoFtCdu34bXMZi0zywGeAmY75z6JbS4CIs65XQmHb4vty3hmdjVet9HhSXZne3yOx+vqNh74GV6MfmlmEefcC9TGINnrLRvi8xjQGVhlZlG8954HnHOTYvuzPT6JGhKPImC7f6dzrsrMdpKdMZPWT3lHCso7klPeUS/lHuGUezRc1ucdaiyQg/EMMAiv9VEAM/sq8DRwnnOuIt31aYVygAXOuftjtxeb2SC8cV8vpK9arca/AdcC1wDLgcHAU2a2OZbQiIhkM+UdCZR3NIhyj3DKPaTBNAyhrhIgCiTOGtsd2Nry1WkdzGwC3oQdY5xzm3y7tgL5ZtYl4ZRsiddQ4GhgkZlVmVkV3mRCd8b+3kZ2x2cLsCJh20rgmNjfNTHI1tfbk8Bjzrk/OueWOef+gDcx1Y9i+7M9PokaEo+teK/JODPLA7qSnTGT1k95RxLKO1JS3lE/5R7hlHs0XNbnHWosSOCciwALgXNrtsW6wZ0LzE1XvdIltlzIBOBbwDnOuXUJhyzEm23WH69+eG/I2RCv94CT8Fpla8oCvFlRa/7O5vjMBvolbDsR2BD7ex3eG6k/Pp3xxnhlQ3za441p84tS+96c7fFJ1JB4zAW6mNlQ33nn4MW0uIXqKdJgyjuClHfUS3lH/ZR7hFPu0XDKO9I9w2JrLMBVeLNcXoc3w+Vv8JZb6Z7uuqUhFr8CduG1Whf5SoHvmF/jvQGPwWvxngPMSXfd0xizmcRmJc72+OCNE6wE7gf64HV52wdc6zvm3tjrayxeAvQ6sBZol+76t0B8fg9sAi4GeuMlx18Cj2drfPBm+B4cKw74fuzvYxoaD7xJmhYBI4Cz8GYMn5zux6aikqoo7wjEQnnHwcdMeUcwHso9wuOj3CMYD+UdYfFJdwVaa8Fbe3QDcACvVei0dNcpTXFwKcr1vmPa4Y0r3Bl7M34NKEp33dMYs8QP7ayOD1430mV4ifBK4OaE/QY8iNdyW4E3g+yJ6a53C8WmE97kXRuAcmAN8DCQn63xAUaneM/5fUPjgdf1bzKwBygDngM6pvuxqaiEFeUd8Tgo7zj4mCnvqBsT5R6pY6PcIxgP5R0hxWIPUEREREREREQE0JwFIiIiIiIiIpJAjQUiIiIiIiIiEqDGAhEREREREREJUGOBiIiIiIiIiASosUBEREREREREAtRYICIiIiIiIiIBaiwQERERERERkQA1FoiIiIiIiIhIgBoLRERERERERCRAjQUiIiIiIiIiEqDGAhEREREREREJUGOBSIYyswIzWxUrBb7tXc1si5nNMbPcdNZRREREModyD5HMosYCkQzlnCsHrgP6AI/4dj0DFALXO+ei6aibiIiIZB7lHiKZxZxz6a6DiDQjM/sZcC8wGugOvArc7Zx7Op31EhERkcyk3EMkM6ixQCTDmVk+sADoGCsrgDFOL34RERFpBso9RDKDGgtEsoCZDQPmAxXA15xz69JcJREREclgyj1EDn+as0AkO5wf+7cd0DedFREREZGsoNxD5DCnngUiGc7MTsZr2Z8EDAa6ASc558rSWS8RERHJTMo9RDKDGgtEMpiZtQGKgSOAk4HjiH14O+duTGfdREREJPMo9xDJHBqGIJLZfozXon+jc26Pc24p8CBwg5ldlNaaiYiISCZS7iGSIdSzQCRDmdkQvJb9Xzvn7vRtzwXmAj2Bgc65XempoYiIiGQS5R4imUWNBSIiIiIiIiISoGEIIiIiIiIiIhKgxgIRERERERERCVBjgYiIiIiIiIgEqLFARERERERERALUWCAiIiIiIiIiAWosEBEREREREZEANRaIiIiIiIiISIAaC0REREREREQkQI0FIiIiIiIiIhKgxgIRERERERERCVBjgYiIiIiIiIgEqLFARERERERERALUWCAiIiIiIiIiAf8f+uXkQLHBNZQAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((final_ff_opt, final_ann_opt), label=('PCA-opt full-frame (npc={:.0f})'.format(opt_npc_ff), \n",
-    "                                                  'PCA-opt annulus (npc={:.0f})'.format(opt_npc_ann)),\n",
-    "            dpi=100, vmin=-5, colorbar=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<font color='green'> **Answer 5.6**: The optimal $n_{\\rm pc}$ is in general lower for PCA on a single annulus than on full frame. Intuitively, one could expect this result due to the smaller number of pixels in the annular case compared to the full frame case. With less pixels (i.e. a smaller matrix for singular value decomposition), a lower $n_{\\rm pc}$ is sufficient to achieve similar (or better) modeling of speckle. Conversely a lower $n_{\\rm pc}$ would be enough to cause overfitting. </font> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.6. NMF"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A PSF reference can be modelled using a low-rank approximation different than PCA (which relies on singular value decomposition). Non-negative matrix factorization can be used instead ([Gomez Gonzalez et al. 2017](https://ui.adsabs.harvard.edu/abs/2017AJ....154....7G/abstract); [Ren et al. 2018](https://ui.adsabs.harvard.edu/abs/2018ApJ...852..104R/abstract)). Instead of $M = U\\Sigma V$ (SVD), non-negative matrix factorization can be written as $M = \\mathcal{W} \\mathcal{H}$, where both matrices are non-negative, and the columns of $\\mathcal{H}$ are the non-zero components onto which the images are projected (note that the residuals after model subtraction can be negative though).\n",
-    "\n",
-    "The two matrices are typically found iteratively. Currently, the default method in VIP is based on the `scikit-learn` implementation of NMF, which uses the principal components obtained by SVD as first guess of the iterative process. Therefore, the results can look fairly similar to PCA, in particular if the PCs are mostly non-negative."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.6.1. Full-frame NMF"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Full-frame NMF is simply done by calling the `nmf` function. Input arguments are mostly similar to `pca`, apart from `init_svd` which sets the method used to estimate the initial SVD from which the solution is iteratively found."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:42:03\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Running time:  0:00:05.284530\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done NMF with sklearn.NMF.\n",
-      "Running time:  0:00:05.287277\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Done derotating and combining.\n",
-      "Running time:  0:00:06.399365\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_nmf = nmf(cube, angs, ncomp=14, max_iter=10000, init_svd='nndsvdar', mask_center_px=None, imlib=imlib_rot, \n",
-    "             interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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Uooeh86oBSBV8D8VUdm5y9XyS5oS9bVSk1v1nk/16WIsknpd0nxu0bXwOWHPS8ryoR5c1ZqS7UVK9ZGvUoCNK9dTgq8PXmD2mxDlcYCqLLFtNj6jKxh5fnGbLs8AV2UOfoL7jQZAxxhjTUwpi5hqeskAjRQ+CjDHGmJ7S9+WwxSmpMcYYY8wM8UyQMcYY01P67hjtQVBf4CVaZYjHgkUVuJHN0hjxdRJTspBYiSLZiI5FjkKEmsTFDYFaWaRZVkhVu52VnymQJgtmVR2QunJA9agMCpMBnjgmGfSxqaQMaEs7+BKblLh0ihB2K8PBDqpsKeBog7g1mQ02GGCyKJjyUcL7wfrktl+ESDgZLEpRMG2TyHmwlvMdHSMhdMPLEsnckZ8p1QYb2ul+aTITbQjMPNXvbE3k3GLk2GIIazH1wuBBkDHGGNNTRiUwmrHD86zTmyeLM2dljDHGGDNDPBNkjDHG9BRrgszi0RJAldfdWUOj1th5V0MwwaTnUW2fzfg4XVWWFt0AkbQgnE+DN1+sd4UdUqsznKzzaNL3UFmlLor1JCogZGXWucVUMgX5lAFtJ2uPylGl66qU7ai4IZwMtw0VEJaCxrYEd02PEH2fDDGBuhmnquoUqFXprbhs3XOGx3I91dqc0gix1ojrVun9UrqsK5LPB+mIjpB+aVvkw+2U2rq6HynorWq3nE9F09RiMtliurpAYwCMygCjGb/SPuv05snilNQYY4wxZoZ4JsgYY4zpKSMEhjN+fc1R5I0xxhhjDjmeCTpstHi0NPj5ZG8LXv9XmoGKUALIgT/ZC2ZbnMNZsa5opUEb0jJcr/gPxUhoEThvjqfY4E+S9Dyq3rhsHDRT6H04vqj0oWHdDZVNahwqXkIDcQ9H3FPwNapbyEE9uQ0KnUfSX/D92JjN322sDRlwINoGXVGLho71PNLPh58H1q2oP6preivRj9SCECv9WPYWmqwr2iud/XwPIAWVHalgu0kaWddFpeeZ656vD1nDVA32umCMX5GftSZocWaCPAgyxhhjespwDsths05vnng5zBhjjDG9xDNBxhhjTE8ZYQ6vyC/Q/MrilNQYY4wxZoZ4JuiwIYWTlWh8DSZ6yVxNGtWRcLUlaGGDAWFNBCyDfFbEk1IgWztHCpZrboNiV0Mw1wQVV5rxVfJeYlNACCM99q5UwUPpqU+6e9ErJO13g7iVhalJUKrEx0kQz8FqRWWTyR+L/stqVhGz2HXE19Mgbk8Vp4wDuX21iJwbgnomY1A24xTPNxc3iZ5FRuk+t/QRfAo//zKoLz9TlWDIgtTHqTZaM25V+fDLIEsN5Z8FKsk5SG2GZYDhjGeCZp3ePPEgyBhjjOkpBTFzX59iYbQxxhhjzOFmoQZBEbEUEa+NiJsjYi0i/jQi/l5ExK5jIiJeExG37xxzY0Rcf5DlNsYYYw4jF5bDZv1ZFBZtOexHAfwQgBcB+GMATwfwdgBnAfzczjGvBPAjO8fcDOC1AN4XEU8opaxf8hLPAl63Zk2KmHqUwTZ302IC2GCexkitUU0XoSRNbOaYtAgimxXSHrA2ROXDJnlct+pyWVfACUuTSQqkucpBJXNGgzXSraT7LmAdjuiLkkke60uEjiiZB9b0MUB2ZeTgoapueR/Xi2heqe54UwQGZZqCyPIu1gCJZyMZT6o4s6e7jVmZSCZqGi31/Fe0OqpsqS20FI1NC7cmmzQCbYFZ0zl8jQ16xVr/JQ08GzRNWOaEGoJc11icFaWFZtEGQX8BwL8rpfyHne3PRMRfB/B1wHgWCMDLAfz9Usq/29n3NwDcCeA7ALzrUhfYGGOMOayMHaNnHDtsgRyjF2fOaswHADwvIh4HABHx5wH8JQD/aef7xwC4BsCNF04opZwF8EEAz94r0Yg4GhGnL3wAnJpT+Y0xxhhzSFi0maA3ADgN4BMRMcT4JdsfL6XcsPP9NTv/3knn3bnrO8WrAPzULAtqjDHGHHaGGGA44/mQWac3TxZtEPTXAHwvgBdirAl6MoA3R8RtpZR3XkS6rwfwxl3bpwDcehHpzZfKujYg1vuZBm2F9GRJx7BfiRKhdDcH66SPWRFlJQ1KbNH3IpuaNkT6rXA6LbO4lXRlcFrSQbDeR94v1kWofqXm/yS0IUmTwRon5ePCEoeTXbFL3J+7kqSlWO/eVNm+anoxUbe1YLtNHi7J+0nUQS3orchnxFoR5Y3E9c36GKGz4zaWnjt1zSnga+V7iOc7BVRV+UyuS6V/S7o0rhN+/tHgJabuYc3fqkGnJvVKqS4bOpJDsmLU9+WwRRsE/UMAbyilXND2fCwivgLjmZx3ArhjZ//VAG7fdd7VAD66V6KllA0AGxe2o6UBG2OMMWahWZw5qzHHkcfcQzx0HTdjPBB63oUvdzQ+zwRw06UooDHGGLMojBDj+GEz/SzORMKizQT9GoAfj4hbMF4OewqAvwvgXwBAKaVExJsB/EREfAoPvSJ/G4D3HkSBjTHGGHM4WbRB0N/BeFDzTwE8HOPBzc8DeM2uY34WwAkAbwNwBYDfBvD8hfUIMsYYY+bEqASG1gQtBqWU+zD2AXr5hGMKgJ/c+Rw+KgEitelcJU0VuJENypbJnE+46LFoUAYpTUZ0DQEiaQEziUUbnpcRiWhVANIk2mQRZItAlhdbWxaMWQcqBL81wzgppmYvOGFiyAFUlx4gg0U2KIQQnTaIXTnv0XlWrithd3eznCLnQGUKWAlGm4wpIUS1VJcDIdbna0zby6IgU3TsVTE1gEGDmWCVBnO+4Fi7VG9KQJ6eqZSPLMzETdW+as+uEjlXg9Mqv8tKwOSmuld6fn5BgfuAhiDXB0XfhdGLpgkyxhhjjJkJCzUTZIwxxpjZMSoDjGYc62vW6c2TxSmpMcYYY8wM8UzQpSYZ7dUDRCY42GOD5iF937D2LU3a1kgLQmVRRmKsyRhRujLYK8t5aM29RXeTTNoa6pbN4dT11LQISq9UC9CpJDX8x1RLANXhcapbZS7Ich7WbAnzylHlzyWpoeE2xsmq+8FVy3WpjOoqWhC+pwDGxhqdskyh9+FrlhF6uT2JhMgIkPUxg/V8UrpHyVgzX3MyvGzRv4hAxd1E6knUzDlbyiK/Z3/IpHUTCU1ljsp1K3RptWC6qvyz0M3MIFDrEIHhjAVKs05vnngmyBhjjDG9xDNBxhhjTE/p+9thHgQZY4wxPaXvwmgPgg4bDQH8UtBMGSyxFiiwYY1aHcI6IV7fF2vfnGzSqTRoKRipu6G8k46ANUNACpzJdTkQXklJj5T8lXKUTPa3ScFqlWaAq2m5QYDBqLolu56Ut7rvfI2seVCaGvam4kNOUEEAlE0KsrpMgVpV3fJ9bdCgVFH3o3bN6tnl+94SAJYfsWNC/8btp+E3J+nS2JtH6YhqQUpVMNTVrhgnBc6Vuq7J2hbpD1UTJIlgtSlvvoXqenhHgxdaTqShj+N72BAoeya6op7jQZAxxhjTUwpi5rG+ioXRxhhjjDGHG88EGWOMMT1lOIfYYbNOb554EGSMMcb0FAujzaWlpm1tEd01GH6xGDEJgJXgkfNJSlaRFweIVIJlNkdMQVcbDPBYN9lgmsciR2WWWGjfYDjZ2FGVhQWySsiqBNadJIWhX6onJZTk+mfRfEv5U8ZiF4toj5OouUHEGUvdsozOi+6HDSGVkWZKuCLsVlpkzoefhyZRaj2f1G6FuJ3vM9d1bIhkK8WTL0twwNRR3XQ1pXukew/Vb10SQrOppKpb3tfyGzqF4D0J+vnlgwYDyZSGIPVPLYFma8aULbS88GI6eBBkjDHG9JS++wQtzpyVMcYYY8wM8UyQMcYY01NGwMxfkZ/Gmuug8CColVmttdZOUWvHlUCB0uSMDf1apBWsJ1EBO7keuCzqnAZdRIKvqUEbkgzV2HBNPZlcfjYFVCaAvHbP86lKhsPJcB00BJWUgUD5PE5XmPNxPSX9SINZIkj7FUp7RPdwREaHsZpFEOUB6pIo3XJECCf4HnFRlIaDd3H7UgFhWTNDda30cLFZNzUMviQOuipM/9iwM5n8iZ49SJdWC7IsqZh+ArmdspllSx+R+jjR/1b1PSqfqqmh2Je6lf0HVW7Oq0b192NxlqEOCx4EGWOMMT2l75ogD4KMMcaYnjLCHF6RXyC58eKU1BhjjDFmhngmqJVZTe/VPH/UOvE0vi6kReB81Hp52tfibcFr+S2+Li3+KryzYbgeG6zv6X4/UlqkSnBapQXjekr6BaVFIH1M8idaFxfIu7byIUlfxVIwoWniAJcJpaHh9s++U6qtsFcVa5yU3uoYlY11NuI5TMFEWZ+0VNf3sFdPWRJl4wCkVDbpXTXgdpyP4Xs/Yu2XlOZRulTV8r5zQFuu2wafI/YSSh5AAAZrdD3CN4tJdcneYspni9tTkzcP5dvQr6dAraIoZYk1WvV6kkGHD4Ayh+WwskDLYZ4JMsYYY0wv8UyQMcYY01NGc4giP+v05okHQcYYY0xP6fvbYV4OM8YYY0wv8UxQK7MyS5xi2JlMwSrmiYAQzKagnyKjlrJNI9Jm4WpDMNcsNqYCS8HvZMGyvL5kMsdGb+KCSIQ6lekco8SWLKZuMJlMgkw2zQTyPWLRqWrWvG+robGwUDUFxRUiZw7QyXU7yNdTBiyerueDo10BdkpDCfwrBouhtO0sZhdBiUdHKwJfdT9IP57E+iIY6mCT1dO0qYwPay9LCAF5Mhzl9qUE5Kn8LPxueJGDXwoQz27temQA1Uow53HeFQNb0V9VTW9VPTEzmHHp+0yQB0HGGGOMOTAi4jMANgCs7ex6fSnlly9F3h4EGWOMMT3lEM0EfXcp5aMzLUgDHgQZY4wxZtasRMRp2rdRStk4kNLsgQdBrUwxsm1aY2/JmtepeVtogpL5Wwpq2BAYVMmgOGhkWruvn8PItXsVkLNzktjH6/st5o98PRzsUWkEkuaEitai0WoI9ijzJmp6qxAmjMmIbgaBc1nTASDrINhRUZkyUo+UNEIbKppo5dlUAS9Zb9XwXCZDPzYfFOUYHqdj1LPK2iJ+psTljVbp+WjoVpbYQDXpYcRJLMXjX4wGbWFs0ymiP0iBZul+DERwWs47BRhWmjPuF/keymeXL7IhmHPluWxC/eY0Gc3ujznOBL0CwCvpq58B8NN7nPYvIyIA/C6AHyulfGGmhdoDvx1mjDHG9JQLPkGz/gB4E4Az9Hn9HsV4TinlawE8FcAXAbzzElw6AM8EGWOMMWb2bJZSzrUcWEq5ZeffrYh4M4BPzrNgu/EgyBhjjOkpBx07LCJOAFgupdy7s+uvA/jITAs0AQ+CZklNk6JgLwi1Lj9kzQBpE9hDB0CpLHQqzQ3rYZJGCKiuQasgktWgquprLj/rJpRPEGs/+BCVTy22o/Lv4Xw4kKO671wHDQFtGalX4ICjKR+lu+HyVtKA0EqxTkL5oBzvikGK0gARpRbUU9n3cD7cjkWbTMekA8QurmtOg7QvgGinStK0WtelMBykNGecdw2Pss6Gg8bmi2YPo6YAvZXApim4M1D1LEoaKGR9T9oW/VfSPbX0EfyD3qCDatHzpWP4FOUTNIX+7cFzZmBnNieuBvDuiFjC+A78GYC/caky9yDIGGOM6SkH/Yp8KeXPADxlpgXYBx4EGWOMMT3loAdBB43fDjPGGGNML/FMkDHGGNNTRmX2Mzejw6s/SngQNIkoDwnNWhpJSzti4VoKbNogHmVRqhIjk0leEicOhYleMmVUmdMmG5SpU9icj8WvSghKwsgBX48yYORLYp10S1DMiqhTnsNtQ53C95WN3lQ+LLY8KpSeXHdcfjYoBOrBT1XQ1RQIlA8Q4mM2NmwIEMkmhly3StBcHqBujJ+Plmc3iV+F0JvbYBLIi2TpfnA7BsQz1FDcEZkwcrpsUKhIgYwbDEj5GkeirSSBMptxtgRM5v6Kg7ACuf1M0Xe2iNCbDAprxyihNJeXN4VBZA6yygdM6OMWZ4XqkuJBkDHGGNNTSol9vdLemuaiYE2QMcYYY3qJZ4KMMcaYnrIrzMVM01wUPAiaJbw83jLPxtOGyuyqsr4c68qBjc/hbBuUay1l4a+3xTp2JY0coFAEIORkhWxlwCaSlcCtEjaDE9O6KYgs6wqU0R7fMzZ/VNPHrMPZyve5Fph1KsM1FfiXtR+crrjvSR0pdGgpH24LXBTVVlhvcX+3W5PBeLnaODiq0nCQJCuWOEimyIe1LsoUk6tls/I96lqWmlkqkLVI0ui0otVRz2Fq61zWFgPSFq0OteNgKZio63Q9XNZJmpqHDsrH8DVx+acYE7ToBFNZ1LN9IZ09+ny/Im+MMcYY00M8E2SMMcb0FAujjTHGGGN6iGeCJlHiIc2OWk+l0W51/Ryo+rpInwdOJukMhE6CRAHs3SH1MjXxDoRWh9fdlYyo5gGiNCi8Vs8HqMCNqr53o4b8rCNo8D2qevy0WI+06JVYyyJ0N6lu+fstUU+cN/sPsb+PolbXyEFX40xX7FLOreSy0S72DVJBWAt5yETLH6HcbGvBUQGUY+Qxw54/4tlN90d5MHGAZGrbI+UPxWWLyX0RAAw2KN1aAE9BSld1V9Qf8fMxWK/3caPlelkG5IU04l8z1Yy5+lnO1xIAWjSwrGVr0DglXR0d0xKImS9A9nHR/Zc46CjyB40HQcYYY0xPKZjDctgCvR3m5TBjjDHG9BLPBBljjDE9xa/IG2OMMcb0EM8EtdIiWG4JmpeUeHVBYxY+14M9Jni4KwWADYZxTINBWcqHxboqWGXlkgZsJAggRt3yD09MFmgCyOLJSlWPM59ctiQ0BrL4lYNXKkE5i4LF/Sgslua6FekeOdu96HKE6u14Fu8OTnYrfLRW7zpSgM7z3XMGQrQdW91jUoBOFXyzYnQYwmCRxdQshJbPodA0d85pEPhL8bQK7Fs5B9wn8DGqCdJ9VaL5GnxPVRoDMvXkOhgeEy9ycP3z5Yn7Psq6+u45qo9LUUonpwGIoKvSGHRygOQmiUzNcBHIRrncZ6sH/sI5e/Tnpej+52KYdXrzxDNBxhhjjOklngkyxhhjeopjhxljjDGml/TdMdqDoFZk8LnJwfhUcMFknhZ13UcaVPN6vwpIyNocLotqpBwgUq191wIOCq0Om/Nx2djEDUAyBasaIQIYrtLaPaerNAQs2WCDwoZ8QZqUlrX8lgCkA9J9DNfUjaZt1mxw2cQ502hD0vUoXQvreaheRseFcIXTYRNDQepwWU8i66ASgFRpj2qGoxXN0DgRoesiY8AUTFSlWwvqORDaoxSsWRexc0gKOMoGniIR9g1MehmhIyLjw1RUpbfiPo70fbJd8zEtBrfcz6tjavpQdU6l/qUujSV/9Iyp5/3BnFu0oz3EgyBjjDGmp/gVeWOMMcaYHuKZIGOMMaan9P0VeQ+CJlHw0IJqi09Qg0dOVTcktUcEz98p7VHhtfwp9Ast69hJayTSYY0Aa0NEUEk+ZkDBKkci0GkKPMkaIXEPs66gQevCa+tcfrX2zveD9Uqirofb3ceTvVSAfF8H57vHKC8ebj+spRqwhw6A0RHqKtj3SNRTnOrqeUbrdD3CvwdHK+1f3UOuf7rmWMuRNAvrkaj8Uk9C1ZL1MqLsfIkykCZtN+h7Ujotyw90yYPN7jnsq6XKxm1QBgJmPQ/ls7SWyzo8xlrD7vdSh5Pi13LQ5brWkJ87eQ7VmwyyzL5NrPFr0GA2ea6lW9TQBgv9y1/3XBjt5TBjjDHG9BLPBBljjDE9xTNBxhhjjDE9xDNBxhhjTE8pc3hFfpFmgjwImsRSeUgoq0RlyaStHrwyCWBZ9KhEtSkII6cp8iHzMRYnpsChQL6elgCqUwUGrHwPpPInIbQQkI9IpJnMxlrM4dYp+KMy6+NXH7goQvAb95EomASaR84LAzm6Z0ooyUEkuQ7kOXwMGUQqsWuc79bL0lUbne3t+8nxD8Dqsa5z5toG1a0QCS+tsoqehN/ivg+HJJonQbl8YSEJi+l7JcBeZmUxHaBeNuB222JY1/JmDT8OfD2iLCmgLYvbhRicRcDcjyhDVQ5uPKKmMRLidw5SmvvWdEoWYHMwalHXSThce9ED+XmQJobUGJpMGHlXenml5begoT1duO97vLjT97fDvBxmjDHGmF7imSBjjDGmp4xngma9HDbT5OaKZ4KMMcYY00s8EzSJUTy0LttgSMikQIiANkvbjRqWTjGq5rVvNgGTa9S8/q/KWllDl+vwK6w5oXNUcETSqQzY8E7mw8FoG0wMyeSssEZLBd+sBVUVOokUNJb0F0ceqAeVXFrPx6x/+eR7tvll9QCkSSugjA/PbHa2Uw0IHdQ21cPyyW4aS0JztrHWbRzLR7vl394SxoeUD5sjpqC4QDa45GdV1QG3hTMsfhFtUhhc5oM4I9rmdgykfiQ97+LZHVD5q/oYCJ0QVX96xgCArzk5H4q6TSaMZHQaom7Z6HCKQMCpH1SBc9k8VOgpU94pwK3InPe1aDJrWrZJ+rc9fnv8irwxxhhjTA/xTJAxxhjTU3ZHh5plmouCB0HGGGNMT/FymDHGGGNMD/FM0CQG5SERbIvJGWsEVe3WzLmUGI5FmqxnlFHLRd674KjsgIiOrEzBGgSL+aTKMUp0TiLOEZkWJrEikAWYLeLEyn0dnNhK+0YPkLKb6mTpZD6HTf5GZ7rlP388mw2e+nS3AR1Zyzd15Wy3/Fsn6QAlzq9FvRf3fWW1q9LmV2CHG1ktOhou0Talu0LKbwDHTnRNGLl5KWF0kLj9yDXnKd/cVoLqZevsUTognZLF7XxPW/76bVknYJG5qNvUB6To6OqUWqeQd8UGCbDZSFNccjI25XcaVrNYn593FkrLfpG1yFQHRRnC8jUmw8v6yyDyhRd+fLlPk2a7lbIocf6I70fDyx81er4e5pkgY4wxxvQSzwQZY4wxPaVgDpqgpnhKh4OFmwmKiEdGxC9FxN0RsRYRH4uIp+/6PiLiNRFx+873N0bE9QdZZmOMMeYwciF22Kw/i8JCzQRFxJUA3g/gNwH8FQBfAHA9gC/tOuyVAH4EwIsA3AzgtQDeFxFPKKWs7yvD3WaJSiNQ0aA0BfBjlKFVCrpK33NwVGQTsAFpaJL+R5yTgj9CrLuzRkANq3l9nI+RwVw5jUq+QK479mxTpozHqHCUxmhdPCIseTjW1bacOdXVpADAEx92R2f7utV7O9t/ePaR6Zw/Of6I7o6zWTd05AHSTlFxVYDLI6e7poVbdI0rV+XHZP1cVzMzIBPDEAaSrLsp22RieCSXbYPa6QrphlTQ1bJGwWmv6p6zfV7cQ64X1klt5HOC7jNrw+J41jgVNrhs0Law2WAKfgzkZ4YuR5mhsn5PGqYy3J6o/pW2MPVX3eaG0UjoEel5TsGDlV6J+yI2S1XGgdwXqcCsKSPaVn1c0gm1RGvmdOumkuma+DdGZVvoX9NhoQZBAH4UwOdKKS/ete/mC/+J8VP+cgB/v5Ty73b2/Q0AdwL4DgDvUolGxFEAu3v5UzMttTHGGHMI8Svyi8W3AfhwRPxKRNwVER+JiJfs+v4xAK4BcOOFHaWUswA+CODZE9J9FYCzuz63zrzkxhhjjDlULNog6CsB/BCATwH4JgD/DMDPRcSLdr6/ZuffO+m8O3d9p3g9gDO7PtfNqsDGGGPMoaXEfD4LwqIthw0AfLiU8uqd7Y9ExJMAvBTAO6dNtJSyAeBBg5ILa+exHVJH8uB5vD6b7HzU+j9raCoB8US67KmhdEYc0I/LqrwuUtDFhrLwMeVIXmRnXUph1ZzIpxYcUWmaUvlJoiE1AuxHwr4bSqMlfE52c3p1I+37pqv+uLP9NUc/39n+P6/M9fauK5/R2X7f5786HXPnZ6/q7uDyi+KzBggUcHSzxSvlnpXuNmurkAOocjDa4QPkzQNgcFVXQLJ2z7HuAeoekj5pg85ZvjeLzrZPUHnZf0jkU1IgTXqmVFvh+6F+HPg8PuWEaG+sG6oFZhbppmtUeqtV1kqxn0/doyz59Ugvm8naQtYIAcDoKPURfIzQ+6Q+gPtOpcPhvlL5mrEXFWu0lLcQ70qaxgb9GNel0oLtPHdNbaSHLNpM0O0A/oT2fRzAo3f+f0F9ejUdc/Wu74wxxhgDvx22aIOg9wN4PO17HIDP7vz/ZowHO8+78GVEnAbwTAA3XYoCGmOMMQtDmdNnQVi05bA3AfhARLwawL8B8HUA/tbOB6WUEhFvBvATEfEpPPSK/G0A3nsQBTbGGGPM4WShBkGllA9FxHdiLGT+SYwHOS8vpdyw67CfBXACwNsAXAHgtwE8f98eQcYYY8xlTt9fkV+oQRAAlFJ+HcCvT/i+YDxA+smLzwwPTuspc74kmm6Jn5hEgpSEMlhk7V4yTxQiThIOszg5lACQRIIyMCtdczpCCclZP14xNQRE3VK9SZFfbQpW6X0pnZIUjeIcMtLj4KFfPHYinXPv8Hhn+4nLXWHxLdvZYPF/Odp9yfHak9emY+65spvu1rksNmZWTnbFx9sk3h3dL0wZSVx85Hy33obH8008dkf3mG3SOG88aS2dM7yvm/cSGTtKs8R7utdcKNjuYCOfc+xs93o2HtatAxl8k8wecSYHyk35XNm9xrX7VtMxbCLJwUOTOBmom/y19An8UoB6pJK5IJmJHs0FWVojA0/qO0PovAf3Ud1S+VNQVqDN6JDz4ZdK+IUR9ZJJCjCc0629JCONWvkczloNJJTAelIaeOj3oskcs4cs3CDIGGOMMTNiHhqeBRpveRBkjDHG9JS+L4ct2tthxhhjjDEzwTNBEyhLZWLA0/RdxUgQQNYA0YhZrttyusngS+TDRm5LFPByTYgeaJdcH6/ok1gPAOT1/KQ9Ym0CgEI6lRS4Ueg8EuydJob80kBxQr5qH1/z/eVkOuedK8/qbP/ZNV/e2X7C8dvSOX/wwKM627fed0U6ZmuN9DscOPdoFjDwOWWzbrx37AvdfVt0ibKpsyfjdVQWMlwEgNOPOtfZPknGk7fdRuaQAHCy64oZ93czPnpvPoXLv3wf1UGOhYqt06RTIWPQI8u5rrdZ77OUhSwlWPBGtblZ/1s1PasNhpcpDWV0yhoafi7FX/zD1cmGhFIfw5rLFr0P953cpYkuruZfI80f2Si0QZ/EOiL5O8K7+BjV97DxbEp3Qvn3uv89Xw7zTJAxxhhjeolngowxxpjeEmh6tXnfaS4GngkyxhhjTC/xTNAkdg+Q1Ron63d4Hb6iNwEAUNA/6RPE+XCyLev/nITyPWLPHKVPYhkUre+zDkSWb6W7gD7IFjkYHZn8lwQHT5RlYx2R0iuRzwmv9yvN0GCd71n3+zMfz5Vw/61dDdCvPqKrbXnP8awnWTnR9cjZvD9raFJAyxNdMUuRbYN0XOTRsvKlXE8DssQZbNIB5AE0Poi2qa08/PovplO+7bqPdbZ/4UP/azebM9nzdO2urlfSqZu7GXPZAWDrBGmnqPqPCM3ZEmU9PNu9H9tnuFKA0SYJU5S+J/l+UftSnlhUXn6epe6G/JNKmeJvYNbHCI1TKPHdLtSzmwIkc3BUpQFkmyPScclicGBm6n+b/ODUM8UaTM6n4W0p1itN9VugsCZoIh4EGWOMMX2l54MgL4cZY4wxppd4JsgYY4zpKyV0iI6LTXNB8EyQMcYYY3qJZ4JakSLhymhXBRPlXSIYXzolSLzHZmrKiIvLq8SVREu6U5mNVUzAhqdEJdAxqQ5WGozdkmGkqidKg+6ZEoezsHP5/vrfEidv7Z5z9EtdwezW6ezsdv5aMtpTQW85gCUFIFXC7qsffU9n+56VbsDXcjYHgN083d1mMfjw2q6pIQBsfEX3vh6h9vWVZ+5O5/zp+a6AnIO9rn2hK4IGAJDgd/t4t1tjQTMAHL+zW5fL93XLdvZxQhDP4nASyA+XcuDZlMZ5Ic7nAKmVlw8AYETtPwmLhaFfbLAbKh0wjYmhEu9WAjHLFxS4vFwHqvvlorFv6KaqN+oTUnBXJUambdX3bE3ur6ahZuSqUG3lQl3Kvhnjeqz16/tl1unNEw+CjDHGmL5iYbQxxhhjTP/wIMgYY4zpLfGQOHpWn306RkfE9RHxgYj4ZER8KCKeOJ9rzXg5rBVlkMV6kWRQuP8gn2pYWg2OqLQu27yQTdmq6+FkhEEZr1OndWaxjp10NZzsFMvnKgAsm8HFekPgSaX12o26Hirv9nE2SsvJjJZZ10Xfi2CPrE9gHQ4ADFmGQunGsRwJ9J5zXV3N6rGu7ub840VA27uOdrY5gO2JU1l489xHfaqz/WXLD3S2v7B5Kp3z0bsf2dneurPrwnj8jlxR61/dFetsXNWtqJV78/Ucv7N7z7ZOselnruxhtwqyTmVZaEXWu+UdHRPHsA6FH91aGxUo7VHSCfFz1xK0lJMV5wxSQF4qhzAkrGkYRy0mhnRDitLlcL/H5ygdTkN/lc6jehqIvoiNWlO2QsOT6q4S0Hqc0B5lPFz8PIC3lVLeEREvAPAOAM+4FBl7JsgYY4zpKVHm8wGwEhGn6XM05R/xcABPB/BLO7veDeBREfHYS3H9HgQZY4wxZta8AsBZ+rxKHPcoALeXUrYBoJRSANwC4NGXopBeDjPGGGP6yvzeDnsTgNfRN9lL44DxIGgCMYoHtTNFaATS+jI3pIb15aT32cPLoZvG/j2Amho525WI8icfHT5GFaVSPKXv4bpL9aTqtiFIbA3WShVVcaT92CZpy2g5T7AOKfZp0lYpfxK65tHx3AaX7+4+wlvXkJmN0H6dIA3Q2kZXWDTaEhPEVN7t01lrxPz6B57a2WZPo6N3ZF+djWu75X/GUz/d2b753i9L5zzlqrs62x853tUVHfkfZ9I5W8e79bJxZff6Vs7lOtg6NdnPB6Le2EtIBQZmrRc/Y8ojZ8jaohZt4RRBPZP/ED1TSutS+HFmLy5hC1aoKQQ145IWUYARPYepLEq7Q+ekoNFCX5n0ky3aqZa+tOLtJIO5sh9RQ/kfTGfPAKpzc4zeLKWcazj6cwAeERFHSinbMTZZejTGs0Fzx8thxhhjjDkQSil3Afh9AN+3s+uvAri1lPLpvc+aHZ4JMsYYY/rK4TBL/EEA74iIVwM4B+DFMy7RnngQZIwxxpgDo5TyPwE8+yDy9iDIGGOM6SuHYybowPAgaAJlUB4UEwabD0KI0NiHSwglq8ZnLfq0ZKJXNzVM6i+ha2VhnhTrcrrTNHYWFoo6kcFOK+cMHiBjuuNdBeZACLA5EGUSjypTRjY54yoRIsjtK0jpuS7E4AxXvxBKbl1FBpFUXjaQBIB77yAlN9XB4EtZsMzi3Hige8zJGynCKoDhV3Yb3fE7utvr3VipAIDNlW55P3b7tZ3t7/+q30nn3LPdDfj6Oxt/rrO9/TAldqVtautbJ/M5wxMkqqUAndoQr/4SgxIKd07hNJAFshyEVQXSlAapnQPELhZp84sRqhmzAeFgsrgaQOoTUlBZpV6lZzX1GULsm/pkft4bXjKR9cgGl/zAKDE11V26Zw19a+03qJPOXun1fBBkYbQxxhhjeolngowxxpi+Mr9X5BcCzwQZY4wxppd4JmgSu9ZKpUaFdQWlblxVXSuV+VQCLDYswDatdZPGgdesdzKbWBbt7FYx+JoisJ8KjpoMCIWOK6WT1uEb6mmDAkRy8cXlLN3ZdUvcvqoryuI0AXHP1sQx1AaHZKgY5/NNPPb57r5NMgo88kCug/VHdMt79M5u1/HFJ6dT8Mj/1tVBHf2PH+qW7elPSufce+vJzvbdT+q65L29PCuds/FAt24H93b1SgNu1wCGq6QnIT3ckfNKu0OaM9LqLK0pUQ1pjc4IAVAt2LHqRlhPQloXabTHeh4+psEEkOtyxEFZUdceydjNNQ2jqoQUSJoTFVrDikmp6rNZ68U6QiDXf/AtFfWU0uC+SHVf3HwapIXVfIuu3otNc1HwTJAxxhhjeolngowxxpi+4rfDpiMinjnLghhjjDHGXEouZibopoj4NIB/BeCGUsqfzahMh4Yo8aDOR+pueN13NIPhr4q5ymv5q7QwrLQvbGXDi7QtwUXV4j0vh7cEgOVgqPT1QOhhkp8SHyK1O3ROi+8GpTMg/6SRqKcBBz5kfYbQVmyfJs+i+8nPR3jBgINIivX/EQfSJJRfzDZ54Cyf6x5z7C7hR3Sym/mgG4MVx59yTzrnnru6wU5Xv7xrCLu0lfNZonSv+GR3+4H7yOMIwCr1Yqdv7qa7JvyIlkjbEvV4sCiUz+D+bhpL66KuT7BuqB5wNEjLojQoSafCPkEt3mGE1A1WAj7LNGtBlkV3lQIXB2t3GnzaeLNBk9ni55PqXwaJrvj1qH6d7xHXf80rDcj9vAoAu3M/VF9gLk4T9H0APgXg7wH4VES8PyJeGhFXzaZoxhhjjJknF4TRs/4sClMPgkop/7qU8s0ArgXwf2E89v2nAG6LiPdGxAsiYmViIsYYY4wxB8RFvx1WSvliKeUtpZS/AOB6AK8D8FUAfhnAHRHxtoj4SxebjzHGGGNmzAWzxFl/FoRZvyK/BuA8gHWMZ4YKgG8H8N8i4kMR8YQZ52eMMcaYaSlz+iwIF/2KfEScAvACAN8L4Osxlmr9JwCvAfBrO9vfCeAfAXg7gIV5q2x3ANUmWJSmhIa1YacyEuN0W0wAOVBgEicrpV412SSojmUKQDpSIu3JZokpWCKQjSiTYWRdqA4Sqstgj2w2eCUJmO/NjwgbxLHgcCSeqiPnuplzVasYmmxmp0Soy2c2ujtYUPrpbnBRIJshrj2Crnk7V9Rg2E13+LX3d7bvf2A1nbPyF892ts+cOdfZ/rPbH5bOOf7RY53tZOT4Vd00AWD48W7w1vuv617fcreoAHLQ0u1j9L1oXqtf5CCr3e9HYvG/JqIf7yQh9LG6kHh0gi6AjVqlwyJtc8DnyB0Ai4KDXACV2JaveZsDDkthMW3WxNXIQWRbgonyOUn4rfKhFzfSiykQLzZwf9XSt7YEQ+X2w0VRPw1lwndm+kFQRHw7xgOfbwGwCuBDAF4O4F2llLvp8H8bEVcCeOu0+RljjDFmxvTcJ+hiZoJ+FcDnALwJwL8spfzPyvF/AOCGi8jPGGOMMWZmXMwg6BtKKb/VenAp5XcB/O5F5GeMMcaYGRKYQ+yw2SY3V6YeBO1nALSwBPZ3N3lNV63B8po0H9NgaFUzFhuny3qYhlbOZeO1fABxhDRA67RIrd4K4LJwqxPljzJZeyCDGHK9VIIlSjgwq7iHyfAuGZblc5In25HJ3wNAYS2VMPTbOr9MO7plOy6CoXJeHBRz7epct0fvJnM+SuQbH5sngjfoIl/y8N/qbP/csW9M53zk2CO7ZSON2eCDZ9I5X3ZLt7x3P7H7/YnPp1Oyfof0MEUZ+pH+Ykg6kBHdCiAHWVVmfNwuB2t0SpZbZQ0KtY3YFBfAusCWPoKlLXyIOGXEuhpKV5Yt6fkoX2XCys8HfR0bwjCS86kYLo7LRuXnPg9AIW1kCqYtNIypvms6SIg+reUHakT/mg6OHWaMMcb0FWuCjDHGGNNLej4I8ktzxhhjjOklngmaxAgPraO2DBfZv6dhjb3pe04mBTEV51TW2KV2h9fy1Zr0BmXGAUZVIEouP2sEVABVDtTI3jwNHkzJw0Tcw5RuzXsEwPBod3tpjQNp5nyYSPdHXA9pssox4SZEWoOlB7oJD4WehIOf4tpugVf/6Hg6Z+2ruseUL3aNdT5+1dXpnOc+vBv99OuOdkUz20J48/anvqOz/cKbXtLZPnYu34/Nk926W72nu71xRToFA6rKTYrLyoFcAWDjqskaoO0rc+NfOqsezi4j1t5N4bab9COq7+HngQQ+0iOH0h1RG0x+ZAAKXU+wzk619drUgepK6R5m/ZXIp6IBUv1K6gNa+vUWfU9FpynvB5eP7qkK3vxgv7fHb9g8Yn31InaYMcYYY8wi45kgY4wxpq8UzD7W1wLNBHkQZIwxxvQVC6ONMcYYY/qHZ4ImMcAuUZlyBatMIU4xGpYCOs67Eghx6rzJxKwpaOE2HSPO4UCyyUiMxdUAYrMuak7UhJ/iHg7I+DBpdZWRI4seOW6uECMfOc+CaxI9qyfx1FY3n7PCjY91t9R+BltIbJ8iMfWfdkXO578in7T0ha674PBEt/yfuePL0jmfO31lZ/sd5x7e2f7SehZgf/f7XtbZXr29WzH3faW4H6RHHh6nuhUC1OV7uzd682Fdle3pT+Ybws/mA4/qnrN8Mqupt8iVURkFLp/t7ts6zVF9xQPO+1jgK0xXa0JcKQpmcz4OJroinqn7u40y9SPS3JUOYXNEpUXm55DLL/oiroMBibZbgjkrakasytA2XSM3DRVVmWkwwb3Q7+0VDNzCaGOMMcaYHuKZIGOMMaav9FwT5EGQMcYY01P6vhzmQVAr6qZSMFEOXimDofICJAcxbAiw2BIzj9e+k0ZApNEUZJVIZmmsEUJD4FIOZgnk8jUEbuQnb0Br7kOlEWCzRAq6qLQ6rHFg0zw2TwSykdvo2OR8AaCsdTMfKA0a6WFY07Au9El8P8o1XQ3Q0hez9og1QKxnOHEyO0Tet9XN/D13PrWzffSIMBe8v9ueNh5O5nynhYvhF7rulSdu6aZx/hH5vm9d1b0e1oZti3pLWi9q+ltnyUUTACjQbxmKsrAGiBHPZTLFJB2U0gSlYKg1TSNEW1GaPyL1PdRW1A/kiB7orIOsXw/3Cao/S9dT01uqc4SGkfU7STu5Wtcn8T2Tmsykp6S2I+7phfI3BZDuIR4EGWOMMX2l58thFkYbY4wxppd4JsgYY4zpKz2fCfIgaBK7G4dak65Zjat5Nva22K578ySPiYalXakJqJ0zxZoxF61IsRFtJu8RoaEhbUvSLzSs3Q+PNRh8cMxFOqcloGKssT5DedmQf8958ifhIJpA9qZq8Eph/5jRyay7KeRVs7xKmqCvyLqbIeldyqCbz9r5rIf5xN1dX6Alup6h0C8sUVsYnuxe4BHW4QEYfvlGZ/u+E91ubeWu3M0NhvTccVzKk0K7c4r9e7qbsq1QJ8CaDiAHHJW+QMSIq5vqdnRcmMxUgqzKQMass2vwCarpD0f1mLK5HOr5qOTTonlK/kQNXklS1ET3NfUjDf5vqS7FJaffAm5Pqmg75W/Rc/URD4KMMcaYntL3t8OsCTLGGGNML/EgyBhjjDG9xMthxhhjTF+xMNrsSaBJhNw5fjeqIfDc2zSNJYmrG8R8LIIUgRybDBWnCOaqxJPV7yvBBLXQkJJoCAibroeOKQ0C7BEbLgpNKud9hEwBhylyq4iRqczfuB5YTMlmlshBI4dbXaXq1vmsXD12RdcMce1c1zlwsJRVnPc/0D1meaUr0l4S52w9sivKPn6qm+/5L5xI5yQBORkUJhExgO0ru2VZubPbFQ7FOUfIoHD7dD1QawriqwTL9HIEBw+WgtZavySCZbKxaTpCvUdAvxCpmSrxLjWfAQdDFvVUyJ8z9UVZ35+OGdF9VyL0VF6+HvVCSTI1FALyZT5m/wa3TYFa2Swx+JrF4s5Ok7NZosaDIGOMMaan9F0Y7UGQMcYY02cWaNAyayyMNsYYY0wv8UxQK2q9f2v/Zl2sG0iaFAUnw1qRiuZGIfULNCRWZeNrYvMurU/ibQ7GWdetcEBC1uEAwGCLdqRggw3aCl43V/XEdcABVUXZjtxPuhsy3pN6JdY4iHriwKwDNp4U5R+dJF0KBWqN1axb2VjvijaC2sbm/TkK7tKxrpDjPOmITpzJQVeve8Q9ne1b77iys82BToF8Xwu3QXELl+/uXvOIiq+m87eupGCuHBj0lBCucFtRWjzW6rBuSJzDGjlwzFuhW0l6F+6LVMDOpG2pG7eygWfq846KyuVkOQ3VXbF2ajCFDqfBB5H7BNln14K5qr6Hd/Gz2mCwmH4LOKDqrnT2DJDdc2G0Z4KMMcYY00s8E2SMMcb0lL4Loz0TZIwxxphe4pmgSexeK1UeDrzGyhqUvdZgd8Pr8CqfaqBWkQ9rW3h9WXmPsMZJLWNTXsm3Qg2r2eOHD1JeI1S+wXp9gZ/9SYrwoUnwPeJslKfJiH2BSBuitDusW+FDRL0lPxIV3JH0O0PStiydZKEUMLyfBCQcyPG86BYo78EaBTq9MuthRpt0Qza62yOheVjb6pbtxOmubugB8Swcvblr6rNNAWw5CCuQvXiW6HpYawUg1dPgqm7djpS2jTQaQ3EMa7/SfebvkX118v0RbZCDEqc+Ip2SNEEp+DH3GYqkuxOHUFsYrdb7ziFfD5dV3UPOm6tA1HXSRbUEgOVjVB/Nu7htq6rlKZb9+BHtVaU91wR5EGSMMcb0FC+HGWOMMcb0kIUeBEXEj0VEiYg379q3GhFvjYi7I+L+iHh3RFx9gMU0xhhjDidlTp8FYWEHQRHxDAA/COAP6as3AfhWAN8F4OsBXAvgPZe2dMYYY4w57CykJigiTgK4AcBLAPzErv1nAPxNAC8spfzXnX0vBvDxiHhWKeV39pcRHhKaScFvRRSoRsO8j9NVSbKYLwUxVI5ltLk1WeCokAH3akE9leEam5pxQEIhdk0Ga8psLJ3EGdO2EGRiqXIPZVDJijhRialZtM0i23UlmKV0GoJi4mRXoDw8l00MQWaVg/u63UC5Moupg0TmcSWVZU10JWe76t2lh210tpUw+opja53t+wZd0fP5Izmy6fp13fIGBYA9cl+u260zkx8qKfCn+h+uUT7Hszh8m8Tg2nyTtltM/lg0T+mORKDWZMrYEhiUn8OWlz1SIlQO1V8xDc9UrZ6CjUMhnil+qUGlw4aXqmOvGETKProSzFUHPJ180Wxe2zllr1N7Loxe1JmgtwL4D6WUG2n/0zD2Tn1wfynlEwBuAfDsvRKLiKMRcfrCB8CpOZTZGGOMOVRcEEbP+rMoLNxMUER8D4CnAniG+PoaAJullHtp/5073+3FqwD81EwKaIwxxpiFYKFmgiLiUQD+MYDvLaXkwEPT83oAZ3Z9rpth2sYYY8zhpOfC6EWbCXoagIcD+P2IBxc4lwA8JyL+NoBvArASEVfQbNDVAO7YK9FSygaABwULu9J+CLU+yxqNdOPra9+1dXqZTE37gryenNbCVXA+Doaq6iGdRPmqdCsBXjkQIgAMkxElnZNlK1mvxNkKk7NkhMb1dlSIgioaLXUPOR/WQY1OCMESazZUkFUu/0b975pg08LTpGVRhn6UT7rN6pyTIqDoLk6fyH/H3HGuuxL9sJMPdLY5cOu4MN3NIw+QkeNxcT/YXJDa4HbSDIn6p+dlyOaQQKqoUHoxbrjc16jHJ2lOOFH1HJKui3RoA3G7Cmnmkr6vITBo1seofFifVA9ayseMjnPA4brWMC3biC4vGUQ2BMbm3wZloJp0RGxa2qAfS2VpCPhsuizaIOg3AHwN7Xs7gE8A+H8BfA7AFoDnAXg3AETE4wE8GsBNl66YxhhjzALQc2H0Qg2CSin3Afij3fsi4gEAd5dS/mhn+xcBvDEi7gFwDsA/AXDTvt8MM8YYY8xlzUINghp5BcaThu8GcBTA+wD88IGWyBhjjDmMzONtLs8EXTpKKX+ZttcBvGznc5GJ46GbqZZV+UbXAp0Cac225ZSk72kJulpJo2VdXnkJpWCh7KHRECiwxSdk6TwLbWj9/1g9KCaXdbSczxlsVLxTVIBIXt7n61NahErgyRgKTQ1dY1E+R9yAWBPAmiEAZZm1IWxilLNh/QUHtN2+SghKSAexeuVaPoZYOdJN5/N3n+lsD5UfEdXt1lVUUapDJn3MNvnqDJZzZRe6R4X1PqrtczOueYsBWRMk2m32G5us3ZHpchxjpd2rBF6W+jfOm4MHKx1RCn5K16z6DGq2qY9T7bim+RP5JN1gC5zONIOChn49MU0+PV8OW6i3w4wxxhhjZsXCzwQZY4wxZjocRd4YY4wxpod4JsgYY4zpKz3XBHkQNIndAVTV/B4LI1l0JwSNyRyR0xVzcykdzlcZo1XmI5URYhIsK40zGyqWellAmlnORwkys5kdHaBEg5XgrrGZKzdY/0rlV0aPyTCuaT51suGaDGjLQs8Ww04hsGaWznYf++EZukFKTH2CRNpXditOSUePnewGTD1/brW7PcjBUFlczOJjBRsQxkrXSXP5qAhsutWtgxEb7ynjQyrKyoluo1Rl3aZ05FPJz1AKdizO4QDJa9SvrIgHhMrHLx8Mj9dfNkjpqpcAlMFo5ZwaUujN+fLLB6JV8osb3CeoFzumCjbNp6gq4SbWYNyYjCi5vOp5uXDMpN+EBRq0zBovhxljjDHm0BIRPx0RX4iIj+58bphV2p4JMsYYY3rK7gWPWaY5B24opbx81ol6EGSMMcaYWbMSEadp38ZOrM5DgwdBF0NtuCs0HKypGdCa9Eitp1c0QC2B9pJeRhkhNpiC1cwRVRrpHCrvYF0YBZKh2oi22eQQAIYUhJTrNlSASEqGNULKoLCmAVJasKUHWHtA+SptBesv1Lo958XGh0LjMDxJF9WieVifrJ0Icc3n7z7e2V4+1dXQbG/k7ieOdNNhbc7SMXUTu3V3ZLl7zPZ21vesHO3qhta3SJ+kvPmOdutt84GV7ilLuQ7KdoPigI0C2UxQpFF9VhtMGYcnGtoX60i4nSrjw5o+RpyTtDkVHSEg9DCcrcqnonuU+fBBKgguaQeD+yel9WQtG2tKlYanYtSqnvcq8xNGvwLAK+mbnwHw01Om+l0R8VwAdwN4bSnlN6ct3m48CDLGGGPMrHkTgNfRPjkLFBE3Abh+j3SeAuCfA3hdKWUrIv4igF+NiGeUUj57sYX0IMgYY4zpKXM0S9wspZxrOb6U8uzWtEsp74+IjwB4OoCLHgT57TBjjDGmr5Q5fWZIRFy36//XA3gygI/NIm3PBBljjDHmMPO6iHgaxq5zQwAvK6V8chYJexDUihIa8q4kUhPpsLfVKhshinM4HdK1KiMxFgUm0Z0wU0umbKIsbECWTMKUAJAuOgmhpRFl3lU9pyaMVEaOnO1yd3sg6pbNHZMoUoicR6tclu6mFLqyyFEJZM91C1yOkYnhlhCd872neyjPOdlVqrJIWEVHj+Pdc0ajyVHYAWC4To2QXyQQ931ltStyXiPB8slT6+mcEb9cIIw0U9lKV2DNIu4i6i2JaBvyaTHN4/ucTPJUf1Ux8FMvKIxOUT6crrgfQYadhepJmZbWRMIjZf7IRWGBuRL8V/oVZZbIfVqI57Aq0pbplsnHqD6By89FUWaJF3bt1f8tgGN0KeVFs03xIbwcZowxxphe4pkgY4wxpqf0PYq8B0HGGGNMX1mA5bB54kHQJEZ4aA1WLRxWgtclvQyEHqPBoDAFzeMgpoP6+n9acxdmg0lHpNaQ2V+tspYPCL0L1RsbIcp0uKqP1p+ytMauWnslQKcKKpm0CKwBUkWrLDyPjol8uP7Fn1cpWCVrv5QWgeuW7mHSmyAHNmUTwyMiSOnWGgmsuPyqnuh+DKgs0mCRyraySvqlQa7b4XY3nQGZMCq9UiGtSwr2qkxLWSekjiGNSYu2JR6gwKwi0G86p2JaOjohnEG5bVfaGyDMQhuMG9M1N+ST860bt6b+qiEAdCn1+9xkdMjUAnCrZ5d3NejHzGQ8CDLGGGN6St+XwyyMNsYYY0wv8UyQMcYY01esCTJ7MsDkubKKVkedy1qctL6svC14bZvXfadYB27y0GjwruF1bKkJYs8P8kaSnkWcLms0lB1GxQupiEtOMhUVEJLhtXr2nFFpVM6RtHQklQCQKphrzeuF/W8A4YFDbWNrnQKQAln/wn4rSluxInQpnTTyOVvkLcRBS9cHXd8gSUUbJk/ZrAerTc+z0rawtoh7ZSUNaWmnfA7XNz93wt8q9WGsJWwJhkrtS2pduElyP6n6K06Hn391Tq3PVv1Krf8V6aZ6a2leDfqe1MfxNUrPtdDpGwAeBBljjDG9pe+aIA+CjDHGmL7S8+UwC6ONMcYY00s8E2SMMcb0lZ7PBHkQNE+ULo+FbDXzKyALTFtEnJXgrkloDGRhtBIWsm6VRcHSSGxyWZRYtGbs1iIaTAJNdT2VNOQ5fEyLsRsLoZU4lOG8lVCdxd8kYFbBUFPR6BAZCLRm+jdqMHbjNJazweJoi8TGLC6Q7Zb2kbB7IMThbIaYAqjKFweofZGIWxkspoCpLc93CxWjVgnXA5dNiuh5x+RnDBDPakNbT+mklz/q9yOlqQxhj1OA4Yb7M02/kfrbBrPHnLHYVavLlhcuTAcPgowxxpieYmG0McYYY/pJz5fDLIw2xhhjTC/xTNAkBuWh9Wy1/pwCXDakOc0IuaLvacknBQZsKauQCDCs9ylL+ZgRtzJe/ldBCyuBWZMOB9kMkU3OpJEj3dcRG8iped2gdLcrBphA1kWkoLL5FGw23KRKOiqQYwoaeZ6CcaqAnRxgdINutNIiJAM5Ms3bFhfN1c9BMYWR44jTabgfKW++76qtLE/WX0latHi1tiD8I1N187Z6dismmckIEQA4mC5rqVTw5pqGUQU25frnc1raFx+insNKoFN+lgFkfZhqT/stmyDpfWYl7wn6V3wdykl2BlkuAp4JMsYYY0wv8UyQMcYY01esCTLGGGOM6R+eCZrEKPYXWLFl9FsJqKh8XZL+hXUfYj03+V9wvkoz0CJx4ICJvFYv0k1BSlvqiSUBHLj1fBYfpYCptK3W+1n/MljvHpM0QkBVd5MCLiJ78TDSR4TrTWgRBhxoku6P0vcUTpgvUXiRFAoWunRyq7M9XBddCdcDt/VVIXZhLx6+ZtV2+L5ywE7hZZN1dpPLqrIObm+sk5L55EP4nnEblD41tW5JfV8rizqHr4m1ekfzPUxaKe4AVPBXru8WHyTeVQtEi/xscr+igjmnehLPt9R6TUoDbd5n1XRmIL7xK/LGGGOM6SdeDjPGGGOM6R+eCTLGGGN6St+XwzwTZIwxxphe4pmgWcJDSjUaToZlmLytaAh0qswEO9k0GBTK8vO+ZIwmTqmlq3SrLD7kJFoEjJzmlrhmzqYhWCL/mRNDugAlkqR0k5GjEFuOVtlATpSFi8vHKKE6BZFMQlZlMkdi3eH9y93vVWDHiri13C+6HxaqU5DS0aYQH3M+bPqn/tRLnphsxlkXbXP5WaQOiPbU8mcnt3VlXsmCeDY1VM24Jt5VbV+YU3ayOS/uIT+bLSLnJEyn71W9VdKVLxskv8j6ix2FA8s2BClNL0uojr0WTFvV0zymLXquCfIgyBhjjOkpXg4zxhhjjOkhngkyxhhj+oqXw0wT6qZOY1jGa+ykx1ABL6sBFoWepDrHp5bLhWammm6DpikFQ2X9hdCTJPMxXqtXRa08eNL4cJpAlGyWyKaMwvCSNRzB6So/PKVp4NNIV1BYR6RM2lSgzM4BDcZ0DUExa2Z2EPIeZrhGXVTLc8hBV4VZYtKpsQZF6aK4XkiHM1I6vBQINB/C7aWs1H9BWPOX2pwqPtd/yzoAmyUm48OGa27RPab6rgR7BXKb4+d7Wxiqsg4nObk26JVaqJi9AkLXNY15orloPAgyxhhjeoo1QcYYY4wxPcQzQcYYY0xfKaUxoOM+01wQPAiaRGeesB7gsmkNNwV7bEij5gWj5vN4PnJY1+EkjYbSw/BSfYPmgf0wSoOXTVofb5mzTEFi6zeEy9+UL19jg3Yn1UFLH8HWL8LHZUDtqdT0Y0C1bUg9DGk/gq9HBSnlgKnc9oUVT/K3Yv2S1NmRBqimtRAk36k1IVhKmpP9T6Rz2QBU/cXatGH1YMGcTlni62nRddG20L9VRbHqemp92hS6HOmvlOqAD2gJ7qryogtouWccFLrWF80JL4cZY4wxxvQQzwQZY4wxfaXnr8h7JsgYY4wxvcQzQcYYY0xfGQnfshmkuSh4EHQxsPatZQowCaFbzLoqaSoPwCEbsHEwzv2LhoE9BNW7v1diRBbNspa6QQCYRINSeVcxWBT5sEg7GUZK88dK2WQwUdpc6+5QRnuq/lNZkvkbHSDNHienq0S1hRJKzVSIamvBKWX7ahGZcz7UvlLAS5EPB6xNQnUpiK+UTdUBtw1lqMjBdFm8uyzaE992JVCuwcL1FvExX6O4X6n++ZiWFy4azkltn+pAtq9a21DPXEuTLJPrUvZX7G95kG9ULdDy1azxcpgxxhhjeolngowxxpie4lfkjTHGGGN6iGeCJlFifyZdNb0PkNacWX+hNDU1Q0Vlppa0B7z+r84hzYwM+lfTeQi9CV9Ti/lbSiMFf6wHuEzr8qpqWePQouGoif6EhiMFUCWjwFQOIP2JIjUblSClUivCxWNZmtJocTLcnkQ+rL8IKqwMaFv5s0y1ndigsmx2RVsjDiqLerDKOL6dz+FgolwWEUw03TIVXJcPYgM/9RyybqvBYDFpi5LxYTol1wtrqVST5Lxb2hcfw9esuoyKJjMZGAK5/03miarPpm3V98zC6LClW6xpSNVvTu03zI7RxhhjjOkjXg4zxhhjjOkhngkyxhhj+krPHaM9CJonDRqO7PPSoAlq8MypevMo7RGjDqkEOpQ6ItYR8DEtDwyvsSs/D0o3JSs0AqWQVoekIMk3SJC0Fg3nDI93yzIQgTWbltVrGiClXyLNSVklgVJLgEuuf9WeWGPG36tbeL6ikRPPVKr/lsDG3AZJz1NUAFW+RdwmWwKqquebdYF0P9KzDFR1gcp3arBO+Ryj+yN0LCld0nFJnVotQLK6H5x3i26Q65KrSflD0bOZ2k6Dh5Hse5YmP4dtWiORN1PV9+xfb9l3PAgyxhhjeoo1QcYYY4wxPcQzQcYYY0xf8SvyxhhjjOkjfV8O8yDoYmgJflo7h0V2TWnUD6nSIgBUPnsVUbMSEifxYYupJOfd8lCx4WDF4A/IQRZZxK2M9tI5LcEeK+JdbSDH19MQhJHTUTr7muhUfc8CZS6LqlsWaTdc8+jYZCfKwYYoW0XsKo0DufxshCiMD9M1r9M56h6mtqFelqj0CVOIFpT5Jtd3k2lpem9jshHi+KDJ+cpzamVpCWjbELm8amLYYsrYdJ/pe1V+i1EOBR4EGWOMMX2l56/IeyxqjDHGmF7imSBjjDGmp1gTZKZnGmOqFPCOvhfr2rV1eGV8mNb/G8ztksFXi3Fjy/e1awxx0jDv6jDNHGZL0NijlXpD1pPI4KdE0kpN0XQGm/mkIWtoWowCGTLjk8FQg0zy+HqUfowDqLLpnzD0C9bZtHh60inJ4K8hkGbS+0xj4NkSBFcYH6bHjAw7k54MQFBbUMcwqd1yHbToBFvqpXaOenY5EDMHP1YZ13Q3SrvD7XaK50WaV/JjmExw6+keGKMy/sw6zQXBy2HGGGOM6SWeCTLGGGP6ioXRxhhjjDH9wzNBrSh9TM0zY5p1YKWt4PVVPkYFLW0J4FehRQ+TgmQutyRc2d5r337TbfDqYP0I61ggdDjJX4XtcJQGhdoKazp0HVDdCu1U0u/w/WgIlJsC3K4IrQ5fM0t3ZIBISpc1QMozh7UV7Pmj7gdt8zXLdkx1G+QTpOoAm5Tvya54p7CeqRH2omoK2rsyWZemAhnXng95D1nTVAtAivrz0abzaghsOg1VTaMKAN3Ql0536w8FfRdGeybIGGOMMb3EM0HGGGNMX+l57LCFmgmKiFdFxIci4r6IuCsi3hsRj6djViPirRFxd0TcHxHvjoirD6rMxhhjzGEl8NCS2Mw+B31R+2ChBkEAvh7AWwE8C8A3AlgG8F8i4sSuY94E4FsBfNfO8dcCeM8lLqcxxhhjDjkLtRxWSnn+7u2I+H4AdwF4GoD/HhFnAPxNAC8spfzXnWNeDODjEfGsUsrvTJ/5JQpsquChKosElfCzFrRQ6rxZ9NxQtpoIEqiLGtXM6TRBI1mIy9cj1HpJ2MkCUyGCZHFoEt6WaQovdjUIZIO1xmz22GAQOWDzN3HfWwLLJlbJ8XKtm7ASLKd8N0iUelQ1li5JFKw8DNco3ZV6umwwWs5T99kSTJTrBA3CW5VuEsBTmqrtcNa14KhA1bhRCdVTXbYEE+Wy8AsLSuhdu2UNJqapbajnhV90UMnWjCdbXv6YJiD3LPAr8gvNmZ1/79n592kYzw7deOGAUsonANwC4Nl7JRIRRyPi9IUPgFNzKq8xxhhjDgkLNRO0m4gYAHgzgPeXUv5oZ/c1ADZLKffS4XfufLcXrwLwU7MuozHGGHOYiVIQMxYyzzq9ebLIM0FvBfAkAN8zg7Rej/Gs0oXPdTNI0xhjjDncjOb0mSER8c0R8XsRsRERb6bvBhHxTyLiTyPi0xHxt/eT9kLOBEXEWwB8C4DnlFJu3fXVHQBWIuIKmg26euc7SSllA8DGrvRnW+BZw5oBsY6dgwfymnU92KNsyMmokXJRZakFfG34o6HFDC4FjeVz1G3lemq59VyVZKwn66BmECm1CKTdWc9/s0xjtJfMHVlno7we2YCwJZ+tbveStC7qmlNQ1QYNCpetZoCJLNtq0uFQe5oqAKnqW9g3syHd1JYbdDfJAJLqSd7T2vPdYkBayRcAQFqjspUPqZUtf99gFKqCoRJNcxq157ulX7lUGqDF5FMAfgDjF55O0nffB+AJAB6H8STGRyLiN0spf9yS8ELNBMWYtwD4TgDfUEq5mQ75PQBbAJ6365zHA3g0gJsuWUGNMcaYBeDCctisPxhPSJymz9FpylhK+WQp5Q+QpPoAgO8G8AullGEp5R4Avwzgr7emvVCDIIyXwL4PwAsB3BcR1+x8jgFAKeUsgF8E8MaIeG5EPA3A2wHcdFFvhhljjDFmP7wCwFn6vGoO+TwawGd3bX9mZ18Ti7Yc9kM7//4W7X8xgHfs/P8VGE8OvxvAUQDvA/DDl6BsxhhjzGIxv1fk3wTgdfTNRjoWQETcBOD6PVJ7SinlczMrG7FQg6BS6oumpZR1AC/b+VwepAbasHas1t13p6D0GCloZEM+ydpC+Ooks5QpsmHdh/AAyb5AfIBImPUXfI7SHrGmicuirof1F+TZogJR8jztSHnZcP1zYE1xn1XdddJoCLbbog1J6XBAWCF2SWVji5ZKuwZEXQr9W2qmpDVS94P9lNL1KV8tLn+Ddw3nLdtG5RZJf6sNblB8kioblYV1d+KclHeLfozTaXl2eR+3QVVvtXuoAg5Po/1anJej5slmKeVcy4GllD0tbBq4BcBX4CHJy5/b2dfEoi2HGWOMMWZWXIgdNuvPpeNXALwkIpYi4iqMNUK/3HryQs0EGWOMMWZ2XIj3Nes0Z5pexPMAvBPA6fFmvADAD5dS/j2AfwXgGRi/QVYAvLGU8rHWtD0IMsYYY8yhpZTyG9jDv6+UMsRFyF88CDLGGGP6yjyWrxbIMdqDoEvNNEHyaoe0KLtIzCfFli3BUFkozEJPISwsHLixZvQGEQyVg1cq8S5XbYsBXs3ZVAUTrRisqbItbVAA0gbxblNHQkVJgUGVQJbyGh3v3qAkoFXl4wCeKp8kNqbvt/YvSZT3ne5REk+Le5xMJlm43hDcdUDXN1K9KbdbFcSXn5nJfpHj8nHdcT6jetvJgU7rbYXzzS9ToC4KnpUStZaPMBdNebcYOTJTGKqaw4sHQcYYY0xPidH4M+s0FwUPgowxxpi+0vPlML8ib4wxxphe4pmgS80sguS1mA3WjMTUO4zcGpQuomb21rKm3lD+FCCVffcagpSWJBISZakFOhRGb1w2LsvS+fy3BQfsbDFlZGM9NlgEgCFri1YojYaAo3zPWnRETUFwS6X8KsBlRXskg3yy3o3Lpv7U43O4LA3NeLRa0fIAufzbuTDpHvGmuObRMXZh3KuUD1GWONgu6XuUMSi3dfpempZy/TdoABOs1VF9EeuVuB0fERlxv8Haqoagq5ed3md+jtELgWeCjDHGGNNLPBNkjDHG9JTAg1HfZ5rmouCZIGOMMcb0Es8ELSK8bq3Wy6dZt+b1cpXGFMPmpHkgXxelRciJ1M9JOiHeVHqsmrdQy/WyLc3Rur6nqtlC9nJSAVRrfjbJCwZ1/ySVZjlKepKWoLGkO0u+QcJTil+tZS1V0laJfFI7btA4tehw+H401UHtvgv4/sh6Yv1LyzOEev2nM8gzqizTDVL3g+u7pV9JQVcp4SbN0/59tXIiU2gagcXWCfX87TAPgowxxpi+MkKbWH2/aS4IXg4zxhhjTC/xTJAxxhjTU6LMQRi9QMthngkyxhhjTC/xTNAiwuI9JYqsCfymNG1kMWiLIDOJcxuE3TXhpxQ5V0WPYlfF9K/FlDGhYkqyaLNF6M1miVE3pkv1pkwxOZ9kMlcvS8t9X6JAs8Pj3YoZiEC0KbBpzZwTyAFUt7rb6o/S2n0vx/NNTCLhBhF9aj8tppJcFmViyPddmUimwtTTTbDZI5U1GZIiBxhOYmol5m8RT9eYJjj1NCyyCFpRMAdh9GyTmyceBBljjDF9pedvh3k5zBhjjDG9xDNBxhhjTF/p+SvyHgRdDsxq7XsaQ7IG079pdCqzIOkxpjA+lA9zMvAj3cSgIcgnmw+ukbAFyBqHBu1UqlqhI2JNVovJHB/Dug9FCjDKmhRl1sfNK2meqtk2PQ4pICzXgTKM5LJwHah6rFwPAMQ27aBrVLo0Nm5MZWsJbMptu+H5SDoicc2pCXKgVhXYtHbTGp7DdM+m0Uqa3uFBkDHGGNNX5vCKvDVBxhhjjDGHHM8EGWOMMX2l52+HeRBkjDHG9BUPgozZg5ZoyexxpgSZLFBsECzXIlw3RYxuiCKfRNscwXtZCFkrkdulWSJfD5sPrghzvlSXDQJmPkVGXZ+choygzuWvXI+kwQSw1r5aDC+TsaMSI/M1cj2py2Fh93Ld2LFmZinzZvG30MznjLhsqm65LCRYFpVbM5VMz7IqGt/nJuU6G1Eq09Ikwd5/Pqb3eBBkjDHG9JWezwRZGG2MMcaYXuKZIGOMMaavFMze3HBxJoI8CDITUEvqlWV4eU5lvlEGf6xpHJREgLUgHLhRajZI18HGbip4JemGBuvdc0Yt+h7WK1Q0UONE6vtSeVU9VTRZUgdF9yiZJ7boVlKiYl/NtLBF5pG0L+K+r1aCeh4Vrowb3YtM91TVdc2UUZVvCsPO/L1oT7VAuapuK4aKsm6TGWLDTeNTuD0pDeBBuRIrs9cF1h/FHHyCZu47NEe8HGaMMcaYXuKZIGOMMaavWBhtjDHGGNM/PBNkZor076n8USB1ElssVGnQLyTPooYxfoNmI1GxPUllb0HplVbqPjRM8jBScivW87BWhLVUAAoFQ40NDopZ17oknyYOHArk+8H6ixbpBelJZMDeSrDNOJ+7Rr4fZYWK1uCZI5lGZ1fzT6p5WaFNr5T9kzj4bjWbNpFsCsxM5VeBc1Pw5pZndwbanQXW/0hGReucLjbNBcEzQcYYY4zpJZ4JMsYYY/pKzzVBHgQZY4wxfaXngyAvhxljjDGml3gmyOyPmiCzRbDMQlwlyqsIYmWwShb8sjhUZVMxqpNlS4lwsMf6KS1C1pqpIaCCUzbkXTNYVKLaWrqinpJYmq+HhMUyWT5nij8wBxu54kbHJpslqoC2NXM+ZaxZDbYLEWS1RdTM5pVs/tggopcBbNNBKeeGc6YwAp1GVF4r/+UmYJ4XngkyxhhjjOkfngkyxhhj+krPX5H3IMgYY4zpK6UAZcaB2BZoOcyDIHNx1DRC4phkyqb8FVdYp1LJtyWfhuc8GfxFg66ADeNa+hNOVukmWuRIKWgs65NEIqwX4bwb7iG4XoSmo6q3UhmxR2YlWK06Jpk9jhpW/bkoIqgvmz2yXkxpeZIuSrWNSruVQUqPkpHmJplXtgQc5XyEyWcOslpvlGxSms5QbXKamQhrfswM8CDIGGOM6SsWRhtjjDHG9A/PBBljjDF9xcJoY2bINMv04pykdWFtggq+OU0+KZBmd1MGd615mrQ8/yy1EHqSkfKq4bKQNif5xyyLk3j+t8FPiUn+ScrDqJaQOCc2J98PWSeVALYquGv1GtX1HKEonhygV2qpSHdTRMJ0SUnjJK451idrgKSOiO9ZQ7DdBJ8j6rYahLjBB8lcSuawHDaNodcB4eUwY4wxxvQSzwQZY4wxfcXCaGOMMcaY/uGZIGOMMaav9HwmyIMgcyiRYtbd37eYwbXkQ8ZtLcErUz4cfPNoPfgmG++Njgjxa00cLmg5Zhq4XpqCb1JQzzjfdZVUwulkkpkOEGXjgLwsJG4IzsmCcimMXuJjSMAs0yUBswqyyqZ/LJrfVApy2maNtno7h5Ph8qtnqmaGOk3gU2MOER4EGWOMMX1lNMJUf0FW01wMPAgyxhhj+krPl8MsjDbGGGNML/FMkFkMkqOpcj6cfI7SViQNTdJj1INipiOU7oPyTtojDsKKBn0MkEwj2TxRanemMApMs+UpMKi4H1NomlL9N2hOUrqk75HGgSnQbL1oKfBsQ5NsIQd8rd/D2KD2xEVrue9pW1zAjK6xm4Yqm7VFB4Zngowxxhhj+odngowxxpi+MiqYeZgLxw4zxhhjzGGnlBFKme3bXLNOb554EGQOJ7PQIrC2gnUgKh9GaHWSrwstKktfF0qHfYGUP1GLHqaKSqKioVF1knQ3KfBsg8cMa0GUDoSLkvLNp9Te7lVapOQtVAv6CeR64fsutUccHVVcc+U+y3TZi6qlblMidIyqR27Ks3gurf8xhwgPgowxxpi+0vPlMAujjTHGGNNLPBNkjDHG9JWCObwiP9vk5olngowxxhjTSzwTZA4nLLSdRkzZcgoLcVkg25AGB9+UIls2WCSzu5Y/R1KQTwCjY8PuDhLRSlEtp1sJ4AkI8z1OVol7ay+IqLplIfFWvZ7Y0DKZWaqyTSPwpWM4wK2koW5rwWmlWSK3uRZjzRqqDc7DLNEcLspo9rG+/HaYMcYYYw49ZQ7CaDtGG2OMMcYcbjwTZIwxxvSV0QglvBxmzOHioAzVONsWDcdyXYNSKKGWc1hTM1pp6FiSBGVGRoEpETpnWRzDxW25p6wBatCk1OpSBhNlfQ+fM4XBojS8FDouJqXDgWeFyWfVvFIxzSNlDZC5zPFymDHGGNNXLkSRn/VnhkTEN0fE70XERkS8mb776Yj4QkR8dOdzw37S9kyQMcYY01dGJc/sXiyzF0Z/CsAPAPguACfF9zeUUl4+TcIeBBljjDFm1qxExGnat1FK2dhvQqWUTwJARHznTEq2Cw+CjJmE0qBUNDRSg8KeMqzdUV4wdFDy84HQ/HAyqqw1nUpLIE32IxKeOameUgBSUTbSttQ8dMYHUTYNQVdTuqvkt7SdlQLpejg2asM9bHkTOZV/XrocewAZYEfEPBdh9CsAvJK++RkAPz3bzAAA3xURzwVwN4DXllJ+s/VED4KMMcYYM2veBOB1tE/OAkXETQCu3yOdp5RSPjchn38O4HWllK2I+IsAfjUinlFK+WxLIT0IMsYYY3pKGRWUGWuCylgTtFlKOdd4/LMvIq87dv3//RHxEQBPB9A0CLps3w6LiJdFxGciYj0iPhgRX3fQZTLGGGPM7IiI63b9/3oATwbwsdbzL8uZoIj4bgBvBPBSAB8E8HIA74uIx5dS7jrIshljjDGHhvlpgmZGRDwPwDsBnB5vxgsA/HAp5d8DeF1EPA3ANoAhgJddEFK3cFkOggD8XQC/UEp5OwBExEsBfDPGr9i94SALZnqAEphOITotR1h5q1TakwXX6pzCQUpZ5Kzy2aY0OMinmk5noTAb+inRdk1HLOu2EmxXzHcXfoVXCKGr0CnSJLMWePYgOUxlMQfGHJfDZpnebwC4bo/vXnQxaV92y2ERsQLgaQBuvLCvlDLa2ZbrjhFxNCJOX/gAOHVJCmuMMcaYA+OyGwQBeBiAJQB30v47AVyzxzmvAnB21+fWuZXOGGOMOSyUMl6+mulncaLIX67LYfvl9RhriC5wCsCto/X1AyqOMagv8yhavF843ZblMC6K8uthavGteLlPHcNLTNMshynm4JGzcMthplfs9Xu2hc0m/6r9sIXN2SY4R2LWa3cHzc5y2HkALyilvHfX/ncCuKKU8u0NaTwSng0yxhhz+XFdKeXzwFhhDODKOeXzpbIAA4zLbiaolLIZEb8H4HkA3gsAETHY2X5LYzK34SER1q07/79vtiXtPafgup0Hrtf54bqdH67b+bG7boHx7xsAYGeQcs9BFOqwcNkNgnZ4I4B3RsSHAfwuxq/InwDw9paTdxrG53fFPbmv1fTJtDH+AwSA63amuF7nh+t2frhu54frdjKX5SColPLLEfHlAF6DsRj6owCeX0phsbQxxhhjesplOQgCgFLKW9C+/GWMMcaYnnE5viI/SzYwjnorg76Zi8J1Ox9cr/PDdTs/XLfzw3U7gcvu7TBjjDHGmBY8E2SMMcaYXuJBkDHGGGN6iQdBxhhjjOklHgQZY4wxppd4ELQHEfGyiPhMRKxHxAcj4usOukyLRkS8KiI+FBH3RcRdEfHeiHg8HbMaEW+NiLsj4v6IeHdEXH1QZV5EIuLHIqJExJt37XO9TklEPDIifmmn7tYi4mMR8fRd30dEvCYibt/5/saIuP4gy7wIRMRSRLw2Im7eqbc/jYi/F7vc/Fy3bUTEcyLi1yLitp1n/zvo+2o9RsRVEXFDRJyLiHsj4hcj4uQlvZBDgAdBgoj4boxdp38GwFMB/AGA90XEww+0YIvH1wN4K4BnAfhGAMsA/ktEnNh1zJsAfCuA79o5/loA77nE5VxYIuIZAH4QwB/SV67XKYiIKwG8H8AWgL8C4AkA/m8AX9p12CsB/AiAlwJ4JoAHMO4fVi9taReOHwXwQwD+NoCv3tl+JYC/s+sY120bJzD+XXrZHt+31OMNAJ6Icd/8LQCeA+Bt8yrwoaWU4g99AHwQwFt2bQ8AfB7Ajx102Rb5A+DLMY5X/Jyd7TMANjEOdnvhmK/aOeZZB13ew/4BcBLAJwH8bwB+C8CbXa8XXadvAPA/JnwfAG4H8P/s2ncGwDqA7zno8h/mD4BfB/CLtO/dAH7JdXtR9VoAfMeu7Wo9YjwILQCevuuY5wMYAbj2oK/pUn48E0TsRKF/GoAbL+wrpYx2tp99UOW6TDiz8++FgH1Pw3h2aHddfwLALXBdt/BWAP+hlHIj7Xe9Ts+3AfhwRPzKzhLuRyLiJbu+fwzGoXh21+1ZjP9wct1O5gMAnhcRjwOAiPjzAP4SgP+0873rdja01OOzAdxbSvnwrvNuxHgQ9MxLVM5DwWUbNuMieBiAJQAcZ+xOjP+aNlMQEQMAbwbw/lLKH+3svgbAZinlXjr8zp3vzB5ExPdgvFT7DPG163V6vhLjJZs3AvgHGNfvz0XEZinlnXio/lT/4LqdzBsAnAbwiYgYYtzP/ngp5Yad7123s6GlHq8BcNfuL0sp2xFxD3pW1x4EmUvFWwE8CeO//MxFEBGPAvCPAXxjKWX9oMtzmTEA8OFSyqt3tj8SEU/CWFvxzoMr1mXBXwPwvQBeCOCPATwZwJsj4radAaYxlxwvh2W+CGAIgN+kuRrAHZe+OItPRLwFY+Hdc0spt+766g4AKxFxBZ3iup7M0wA8HMDvR8R2RGxjLH7+kZ3/3wnX67TcDuBPaN/HATx65/8X6s/9w/75hwDeUEp5VynlY6WUf4WxgP9VO9+7bmdDSz3egXEf8iARcQTAVehZXXsQRJRSNgH8HoDnXdi3s5TzPAA3HVS5FpGd1zTfAuA7AXxDKeVmOuT3MH4LZ3ddPx7jHxzX9d78BoCvwfgv6QufD2P8tseF/7tep+P9AB5P+x4H4LM7/78Z4x+J3XV7GmMdhet2Mscx1pzsZoiHfodct7OhpR5vAnBFRDxt13nfgPG9+OAlKuehwMthmjcCeGdEfBjA7wJ4OcavJL79IAu1gLwV46nvbwdwX0RcWGs+W0pZK6WcjYhfBPDGnbXocwD+CYCbSim/czBFPvyUUu4D8Ee790XEAwDuvqC3cr1OzZsAfCAiXg3g3wD4OgB/a+eDUsoFP6afiIhPYfyD81oAtwF470EUeIH4NQA/HhG3YLwc9hQAfxfAvwBct/thx8/nsbt2PSYingzgnlLKLbV6LKV8PCL+M4BfiIiXYvwixVsAvKuUctslu5DDwEG/nnZYPxh7WXwWwAbGI+NnHnSZFu2D8SuY6vP9u45ZxXiwdA/GXhbvAXDNQZd90T7Y9Yq86/Wi6/JbAHwM41eKPw7gJfR9AHgNxn9tr2P8Vs3jDrrch/0D4BTGL0d8FsAagD8F8PcBrLhu912Xf3mPvvUdrfWI8dLXvwZwH4CzGA9GTx70tV3qT+xUhjHGGGNMr7AmyBhjjDG9xIMgY4wxxvQSD4KMMcYY00s8CDLGGGNML/EgyBhjjDG9xIMgY4wxxvQSD4KMMcYY00s8CDLGGGNML/EgyBhjjDG9xIMgY4wxxvQSD4KMMcYY00s8CDLGGGNML/EgyBhzyYiIYxHxiZ3PsV37r4qI2yPiAxGxdJBlNMb0Bw+CjDGXjFLKGoAXAXgsgNft+uqtAM4A+P5SyvAgymaM6R9RSjnoMhhjekZE/AMAPwrgLwO4GsCvAHh5KeUfH2S5jDH9woMgY8wlJyJWAHwYwMmdz58AeG5xh2SMuYR4EGSMORAi4ukAPgRgHcATSik3H3CRjDE9w5ogY8xB8U07/64CuP4gC2KM6SeeCTLGXHIi4msxngW6AcCTATwMwNeUUs4eZLmMMf3CgyBjzCUlIpYBfBDAlQC+FsBjsDMgKqX8wEGWzRjTL7wcZoy51PwExrM/P1BKua+U8ocAXgPgxRHxfxxoyYwxvcIzQcaYS0ZEPBXjWaB/Vkr5kV37lwDcBOCRAJ5YSrn3YEpojOkTHgQZY4wxppd4OcwYY4wxvcSDIGOMMcb0Eg+CjDHGGNNLPAgyxhhjTC/xIMgYY4wxvcSDIGOMMcb0Eg+CjDHGGNNLPAgyxhhjTC/xIMgYY4wxvcSDIGOMMcb0Eg+CjDHGGNNLPAgyxhhjTC/5/wGLoHIknDYsWAAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_nmf, dpi=100, colorbar=True)#, backend='bokeh')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 7.377\n",
-      "Integrated flux in FWHM test aperture = 126.136\n",
-      "Mean of background apertures integrated fluxes = -2.317\n",
-      "Std-dev of background apertures integrated fluxes = 17.013\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr_nmf = snr(fr_nmf, fwhm=fwhm_naco, source_xy=xy_b, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.6.2. Annular NMF"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The same as above can be performed in concentric annuli (new since v1.0.0):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:42:09\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "N annuli = 10, FWHM = 4.603\n",
-      "PCA per annulus (or annular sectors):\n",
-      "Ann 1    PA thresh: 11.42    Ann center:   2    N segments: 1 \n",
-      "Ann 2    PA thresh:  7.63    Ann center:   7    N segments: 1 \n",
-      "Ann 3    PA thresh:  6.87    Ann center:  12    N segments: 1 \n",
-      "Ann 4    PA thresh:  6.54    Ann center:  16    N segments: 1 \n",
-      "Ann 5    PA thresh:  6.36    Ann center:  21    N segments: 1 \n",
-      "Ann 6    PA thresh:  6.24    Ann center:  25    N segments: 1 \n",
-      "Ann 7    PA thresh:  6.16    Ann center:  30    N segments: 1 \n",
-      "Ann 8    PA thresh:  6.11    Ann center:  35    N segments: 1 \n",
-      "Ann 9    PA thresh:  6.06    Ann center:  39    N segments: 1 \n",
-      "Ann 10    PA thresh:  6.17    Ann center:  43    N segments: 1 \n",
-      "Done derotating and combining.\n",
-      "Running time:  0:02:57.056161\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_nmf_ann = nmf_annular(cube, angs, ncomp=9, max_iter=10000, init_svd='nndsvdar', radius_int=0, \n",
-    "                         fwhm=fwhm_naco, asize=fwhm_naco, imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames(fr_nmf_ann, dpi=100, colorbar=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 8.435\n",
-      "Integrated flux in FWHM test aperture = 368.851\n",
-      "Mean of background apertures integrated fluxes = -13.030\n",
-      "Std-dev of background apertures integrated fluxes = 44.234\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr_nmf_ann = snr(fr_nmf_ann, fwhm=fwhm_naco, source_xy=xy_b, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:45:07\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N map created using 5 processes\n",
-      "Running time:  0:00:02.824514\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "snrmap_nmf_ann = snrmap(fr_nmf_ann, fwhm_naco, plot=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.7. LLSG"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Local Low-rank plus Sparse plus Gaussian-noise decomposition ([Gomez Gonzalez et al. 2016](https://ui.adsabs.harvard.edu/abs/2016A%26A...589A..54G/abstract)) proposes a three terms decomposition to improve the detectability of point-like sources in ADI data. It aims at decomposing ADI cubes into L+S+G (low-rank, sparse and Gaussian noise) terms. Separating the noise from the S component (where the moving planet should stay) allows us to increase the S/N of potential planets.\n",
-    "\n",
-    "Let's try it out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:45:09\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Annuli = 5\n",
-      "Processing annulus: \n",
-      "1 : in_rad=0, n_segm=4\n",
-      "2 : in_rad=10, n_segm=4\n",
-      "3 : in_rad=20, n_segm=4\n",
-      "4 : in_rad=30, n_segm=4\n",
-      "5 : in_rad=40, n_segm=4\n",
-      "\n",
-      "Running time:  0:00:03.037431\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "fr_llsg = llsg(cube, angs, fwhm_naco, rank=5, thresh=1, max_iter=20, random_seed=10, \n",
-    "               imlib=imlib_rot, interpolation=interpolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's plot it along the full-frame PCA-ADI result, after the optimization of the number of PCs:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((final_ff_opt, fr_llsg))#, backend='bokeh')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The computation of S/N ratio and S/N maps when the noise has been almost totally supressed becomes problematic (both from a theoretical and computational points of view). Let's nevertheless compute them for reference:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N for the given pixel = 29.064\n",
-      "Integrated flux in FWHM test aperture = 224.276\n",
-      "Mean of background apertures integrated fluxes = -1.713\n",
-      "Std-dev of background apertures integrated fluxes = 7.597\n"
-     ]
-    }
-   ],
-   "source": [
-    "snr_llsg = snr(fr_llsg, fwhm=fwhm_naco, source_xy=xy_b, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-03-24 19:45:13\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "S/N map created using 5 processes\n",
-      "Running time:  0:00:02.831033\n",
-      "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
-     ]
-    }
-   ],
-   "source": [
-    "snrmap_llsg = snrmap(fr_llsg, fwhm_naco, plot=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.8. ANDROMEDA"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Another approach to find point sources in ADI sequences consists in i) subtracting pairs of images separated by a known amount of rotation (typically 0.5 FWHM to produce a specific positive-negative signature); ii) find this residual signature using a maximum match-filter; iii) evaluate the likelihood that a point source is present at each pixel and the corresponding photometry. \n",
-    "This is what ANDROMEDA does ([Mugnier et al. (2009)](https://ui.adsabs.harvard.edu/abs/2009JOSAA..26.1326M/abstract), [Cantalloube et al. (2015)](https://ui.adsabs.harvard.edu/abs/2015A%26A...582A..89C/abstract)). The principle is summarized in this figure:"
-   ]
-  },
-  {
-   "attachments": {
-    "ANDROMEDA.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![ANDROMEDA.png](attachment:ANDROMEDA.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "ANDROMEDA follows an inverse-problem approach since it involves a model for the expected positive-negative signature of a point source, and finding the optimal coefficients which minimize residuals between model and observed residual images.\n",
-    "\n",
-    "The `andromeda` function in VIP requires the calculation of the oversampling factor (i.e. ratio between Nyquist sampling and actual pixel sampling):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.7577458534791308"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "lbda = VLT_NACO['lambdal']\n",
-    "diam = VLT_NACO['diam']\n",
-    "resel = (lbda/diam)*206265 # lambda/D in arcsec\n",
-    "nyquist_samp = resel/2.\n",
-    "oversamp_fac = nyquist_samp/pxscale_naco\n",
-    "oversamp_fac"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's now try it:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "res = andromeda(cube, oversamp_fac, angs, psf, filtering_fraction=.25,\n",
-    "              min_sep=.5, annuli_width=1., roa=2, opt_method='lsq',\n",
-    "              nsmooth_snr=18, iwa=2, owa=None, precision=50, fast=False, \n",
-    "              homogeneous_variance=True, ditimg=1.0, ditpsf=None, tnd=1.0,\n",
-    "              total=False, multiply_gamma=True, nproc=1, verbose=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "flux, snr, snr_norm, stdcontrast, stdcontrast_norm, likelihood, ext_radius = res"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One can then plot the SNR and flux of a putative companion at each pixel:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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AqBWXqTViXqHPUV4iAADYXsQeOQYRgIQvhAfS3/WY+hfrBqRLHMe8usL6yPE4lTzGknQJ5lgvIQ52JtvxS6zy3ML7HiZnsDjgGvNCY90IAADqKOY9F2oMxDoHaY2EYg2E8Dr9YgcfIkbJ+lN5yfRAfd5nbB/U4GUi+it0IdajKP4Dj3oJQIZBBABArTTd1ByxONGozwcAADsHsUeOQQQAQK2QlwgAACaJ2CPHIAJ2tso8vcK+I0zrr7xstixTaIvLQybblQFM790Wv6daSapGnGFY+U5L2ivTHmP/fMC2Tfo4cB9IdQAAzKph/rpYWXoxNE/iL5V9loO0LLYYItiJ2Q2NNDVj8MNUbHXZy036VHxu6ThDpKgAOwGDCACAWmGtZgAAMEnEHjkGEQAAtdKSRq6QHOuiAgAA9ELskWMQAQBQK/w1AAAATBKxR45BBMy/IeoIjDTAWFhusZTP11gtHzZddrJymPR1+tQjKKnULui5sUnNhkJ9h8r5tEJb3HWehmsBALVmC2E5wFZpLeTSgcbTn/axuq9rfQ6c1iTI+15extHi0tfFF+n9msPoWxdii8etLOnYr55CsQ+l4lHA/GMQAQBQKy2NoUKy5qdCMgAA2F7EHjkGEQAAteJjmFI4kQroAABgLhB75OZnOAQAAAAAAGwrZiJg/hRqIEihXsEIA4JxRlP6MpW6Ac18u5Fux6G8+NyN3ruWXqO4rnI8UKGGQzxupVZBaZnlQk2E2IdSDYRKzYb5GcjFFrRkY6iQzIcIQG+xBkKlPbkw9f3r4ri+borH6XOhHOLCmb2fGFuk1/FW+Zi21fcdT/0wF/0QMMQ6CKW27H3H1yzVPYi7pp+NPucI9UHskWMQAQBQK1RIBgAAk0TskWMQAQBQK1zIAQDAJBF75BhEQC21lvLtdCr8MNPt+y5J6IW20kzBmB4Q9k1ntxWXTFSe+lBa9bDvCkNbTDvou+RR2qmY4hGWhkpTGPotr1n6scX32lro3bbVpaAAADuLNQa/YEyjQFppan4lJonLMxfaKvsmQUpxyepRrq8jLIuY9reSMjHM0t0j9b9w2Gz5xzG+JnYcM9sl6S2SHinphKS7JL3A3T9vZudK+h+SvlbSqqSfcve/7TyvZ9u4UFgRAFArp/4aMOoNAABgEFOMPV4v6RHu/hhJfy7p9zuPv0LSB939UklXSPpjM1saoG0smIkAAKgVphQCAIBJGmPssWxm+0PTqruvxv3d/aSkv0ge+qCkX+jcf4akh3f2u8HMbpf0JEnv6dM2FsxEAAAAAABg+10p6XC4XTXgc39O0p+b2VmSltz9zqTtFkkXl9pG7HeGmQiohZhbP1Tee8z1K9U5GOI4lTzBwvKFRUP0obLUYVpjoM9hS3UOYl2G7HwPkW/Yb0WpLQ/g9skhzPrPH5jnHsssAdgOaS67jTN5fUyH8vC9ldVIqNQVCssXZmn6Q3z/lYKLfvFL2r9+AUGx3kNYtjF94aGWdAxdGObnUglgBnxy3+U/KZJQF2OMPa6VdE1oqsxCiMzspWrPLniypN0jdWQMGEQAANSKj2FK4TSKogEAgHoaY+yx5u5Hhnmemf2CpH8r6bvd/bik42a2YWbnJzMOLpF0q7vf06ttpM4HpDMAAAAAADBjzOznJT1L0ve4+/1J09skPb+zz+MlXSDpbwZoGwtmIgAAaoXCigAAYJKmEXuY2YWSflPSFyT9tbVzclbd/QmSXiLpTWZ2k6Q1Sc929/XOU0ttY8EgAuqhTw2ELKWs1Ba1Cm3D9iltCjUcSussx3oExfdaqkcQXzOeh2b3fmMjtJX6EHMIh6kFUaqnUOhfpX2UmgiFtqFqV2BmMIgAYMu8dz59eq2J9Qeqx9nia44k1DlI+lipBTDE9bdUGyDWESjVYYi8lQYIfV4zrUdR6XvYuVHqcNhMu1DpQ+830K9ewlB1JTAXphF7uPtt6vGb5u6HJD1l2LZxYRABAFArLR99EKBFLSsAADAgYo8cf4cDAAAAAAADYSYCZldhxuGgz5M2WUVomBSG0oy5eJzCskfDTJuPx03feyscN91u9fltbqTPLaUOhNfsl6KQvm5MqYhKs0grsxVLmVvx/JZeNH3N0s9MY5xxim3lbiOvrsDqDMAOUflVH3Rpvn7H2R7F1ILSmop9+pumIVRSNUrfh4VlGxultALl2YQeA5hSKkF4UQtxSPpeYltFcZnJsBn7OAaV1NLSS2xxFUlMBrFHjkEEAECtjHGtZgAAgL6IPXKkMwAAAAAAgIEwEwEAUCuszgAAACaJ2CPHIAJqofI7N0JOWbE+QSFPv28thdIyk6Xn9tt3wD5U3lfY9sJzK/UJmknu5EJ+QltDzF+KfUr7X6n9UNqOP8P4zZW8TjG1k7lXc4G8RACDiksfZvUASjnnfb4irFAPoPL9MkRhp+KuxSUJ8zaLy0GWvvNKsYXicZP7jfyJMd/fk4uzV5bTLNQnaIS22L+FUuGIwusUlpXcdLt03AHbijUQpLxuU/yscp2aKcQeOUJqAAAAAAAwEGYiAABqxccwpXCe/hoAAAC2F7FHjkEEzI7SrLJ+Syams9WGSX0IijMQ4xKEfZZJ3KrGRpyK173bilP8sieGp4Wplp7OqYupA81838ZGsmtYn8hCHyw5D5X0hXCO0vOZvoYkWdjOzmefGYfp6xaXmez3M0qnFcb+YGa4xjClcI4qJAPoimkGle+KLaYwxKnmpX2LSx/2m9Zf4K3e761f/9L0hsr3X2lpwyGm6sc+pM2V5RMr2+nOeVOlB0kcEtM24vlMQ5jYh8pymoW4o5KWkC0zOURqSzxM6fyGtA1vct2aJmKPHIMIAIBaobgRAACYJGKPHDURAAAAAADAQJiJAACoFfdNpqFu4RgAAACDIPbIMYiAiSot+VdJehvXjJ9hfmFjit5i77a4ZGIphz7WT0hrBcS6AZW6DIW2kmJtiNDWWA/b6Xvps0RmI61B0KceRfa+Y02ESv2EJH8z1GGIdQ9aSxrMEJ8FD8eM5wjT05KpNeIXxKjPBzBD0rpIk5ouXKrbM8QyjTGfvpGtLR2LMYUll7PlC8N1MsQoaT2AceXWx3z+WAuiVVoWMfahGA+GB9L30mf5TC+co0pdhsLPNPYh+7mVSkoME3j0+bE0FrvHam1wDZs0Yo8c6QwAAPRhZrvM7B1m9jkz+7iZ/ZWZPbzTdq6Z/V8zu8nMPmFmT5x2fwEAALYLgwgAgFpxt7HctuD1kh7h7o+R9OeSfr/z+CskfdDdL5V0haQ/NrNB58cAAIAZN8XYYyaRzgAAqJUxVkheNrP9oWnV3Vfj/u5+UtJfJA99UNIvdO4/Q9LDO/vdYGa3S3qSpPeM1EkAADATWJ0hxyACtlWxBoKKyw/n+XFBo1B/ID4v7ruwli4anLc1l/Nf7ubu5P5Kvm8lLz9pj/n98a2kqXSVvMWY15jeD7+xaR+8tC51OFCl/kDYbmwkeXcLfeoRlL5FCmswV372ldTE7gOt8Jrxc5W1xToMyfmtvGbhlMXXiHUXqJEwF66U9OLw2K9K+pUBnvtzkv7czM6StOTudyZtt0i6eBwdBDCiyvd+KYjvfVGo/AUx2a7UQIi59ul23Hch1BFY7F60Gkt5gNBo5NsLyXXfw2u2rPf7HCpeCP1L6x7EGgixRkJ+zEINBEmW1Eio9C/GkguFALHyusndfuUJstpR3rtts+0er1lpKnz+KvUT5uffm5hDDCIAAGpljBWSr5V0TWiqzEKIzOylas88eLKk3X12BwAANcfqDDkGEQAAtTKOvMLO89fc/cgwzzOzX5D0byV9t7sfl3TczDbM7PxkNsIlkm4dqYMAAGBmjDH2mAsMImB2xFlcyXYlfSGmLDST6XVhmvnyA/mBl4905+4vrObz+JvL+Zy59X3defQnD+Zta/vyL4KNPclGnPXY6L1dSQ/IN7P25nLYN9mO30uNsHxSusxkJa0kplQk0yBjCkUr9iGZ5l/pQ/y5JT+KmAZh4Tzk/QkPFNJkKjMQC8tGxX3T16mcE8rQzoxpXcjN7OclPUvtAYT7k6a3SXq+pF8xs8dLukDS34zUQQC9jfLrn37xl1IUSsv/xe1wvbWN/IJhq932xnq5862V7oGbu/ILUWt3flFdXO5e2CtLRYZrWCtZHjKmKFSyC5P2xmJIoVhMXjNcRFutRu/tQvpCpRNxOcXQh8ZC7z/ntuLPLb2uxzSJ0o8i9qESMCR3K5+jwnErOZdJSkppje+wb3wvlc8rxo5BhByDCAAA9GFmF0r6TUlfkPTX1h5oW3X3J0h6iaQ3mdlNktYkPdvdqZoBAADmEoMIAIBa8TFUSB72rwHufpt6/N3K3Q9JespIHQIAADNrGrHHLGMQAQBQKxQ3AgAAk0TskWMQAeNXGGSr5JV7j/vqk8ve6p2bFvdNlyuUpMUHurOMl+45lh/3+En1suth52TbD1yYFwc4cU73zW3s6nmYzgt171ZS6WINgqXN70tSK80L7DO4WTqflWUak2Nt7M4PvL43PDfJ36wUdDiZPzftbmUJxVg3Is1jLH02lC9RaaEOQyMsX9nrNSTJCj+XympZhX0BADMifj8Xcu+LX+bDLBUZrjsLSU2ExQdCvaLKktXd9vVQe2n9QKjFlLQvLBcudn3EugdpTYTFxfy4i8m+1ZoI+XGzfzDF5asXC/UJlvMDLa3kJ2lpqdunZjMPHjbW8wJLWbhYqDEghRigz5LQaQ2Cav2MIYKCwq4x7nAVAiNgwhhEAADUSvuvAaNOKRxTZwAAwNwj9sgxiAAAqBUqJAMAgEki9sgxiAAAqBVXeQWtQY8BAAAwCGKPHIMI2F6FPHIp/DIV8t4r+fOL+YGaSQ0Cz9PhtHowf2B9d3fnfaF7y/cdyfvX7HZi+dDRrG3X3jOz7bR2QGsh5v6FFyrk6MX+V+pIJBobaQJfbMu301oBFuZTxddsrnSPu7E7tO0KOZBJnYZGXNSulCYY2mJdhrRPFlI94+ukdQ8WVkOOY5paWXnNwnrSGlxzuf8+AIAxKUXilXo2vXPvK38VLNRLsHCNsoXuhcdijLIr1C5Y6F4oLeTwLxwONRLWenRWki/kz11f7F4om428v7HOQXrZj+ck9r9RyLdPaxDEqdmt8N682TtGqVxkl7r9XVzJL/ppDQRJ2r3cDQJOrOXFopob4c1UChp1NRqxJkJ3O1bhz96LlAc0sa2ksmvv5xanvverg9WYp3+uYhYV/nkyHWZ2gZn9kZndY2YnzOxGM3tc0m5mdrWZ3dFpf4+ZXTrNPgMAJufUlMJRb4BE3AEA6I/YIzdTgwhmdlDS+yWtS/oXkh4p6T9Kui/Z7cWSXijp+ZKeIOmYpHebWb96+ACAeeBjumHHI+4AAAyE2CMza+kML5H0ZXe/Innsi6fumJlJepGk/+zuf9557N9LOiTpByS9ZWI9RW+FX5A4NT9bxi8uDbSw+X1Jaq7k2yfP7T65cW6+TOPySj73/dDh7vz8w7fsydrOvOhh2fYZX+4eK87ui1Ph0yn3cVnBZuh/Np0ypi+EQcr0WI0TedvCavr6IUWhEQ/UvVuZxh+WjkzPbyuc6zj0mKZNLB7Pj7t4vPe+cbnKymcjnrNETG8onfv0fFZSQ2J6Q5pCEZeRjMtXztGFANjBiDvqoN9f70rL3ZWW0Atf5FlMEi+hS/lFYPfubt7BWXvzi92epSwnQcfXuzlvt9+7P2s7dleeM7h8X/dCVF3+MUi732eZwez9xNSHcP7Sv5auncgv1r6aXCjja8afQ3rNjdPrwxKPjSRlYTGkLyw08nN/cr37z5f1sKTjxmr+T5t0+UULKR6VPiX9t3D+KukN6XsvfT4rrxHaS5/dUrpNJW+HoASTNVMzEST9G0kfNrO3mdldZvYxM/vJpP1hks6X9J5TD7j7YUkfknT5Zgc0sxUz23/qpmoaPACgRlxjmFI4VNULzDHiDgBAX8QeuVkbRPgaSS+QdJOk75X0u5J+28x+rNN+fuf/h8LzDiVt0VWSDie328bZYQDAZLXXah79Boi4AwAwAGKP3KwNIjQkfdTdX+ruH3P310v6PbXzELfq1yUdSG4Xjt5NAAAwB4g7AAAY0qzVRLhD0qfCY5+W9LTO/Ts7/z+vs6+S7X/c7IDuvirpdOa4FZZ6wdZUcsWz5ZNCW2GJn0o6V2EZxI3dIX/vQd38w8dclP/R50kPukm93PyYc7Lt//WJR2fbRz7TrZmw+66wFFDo78aeZInHmO8f6x6kKYVx2ahwPncf6r7Q8tH8RVcOJ7UgNvK29TPyMcLjZ3e3N/aFJTLjEoXpU2Ma4wOh7kFSp2HpAe/ZFq3vzbcrNRwS8ZzEPNH0vZfqbsRaEHHpzVJNhMqSmUl7rNFQqueA0Y2jwvE8VUjGSIg75oEXgolC3DHM90Aj5OXv392tmfSIM/OJKt98xq3Z9pkL3ZoJXzj/3Kztb899eLb9+Tu7cUnz/j7rBy93+xTz/WN/F5L2xcVw0QoeOHRG93lH8wva8pGkxkC4Lm7szU/22lnd12nsy3eOdQ/S5RZj7HjiZB5Ubax1L95+Iu+freZBQLp8pa/kP+9WXOoyCX481nuo1JxIn1j483JlGclCe/zoxvi6EDSzpOP2I/bIzdpMhPdLekR47DJJX+rc/6LaF/Qnn2rs5Bs+QdL1k+ggAGDK3MZzA4g7AACDIPbIzNpMhGslfcDMXirpf0r6VknP7dzk7m5mr5b0cjO7Se2L+69Jul3SO6bRYQDAZI0jr3Ce8hIxEuIOAEBfxB65mRpEcPcbzOwH1c4n/GW1L9Yvcvc3J7v9hqS9kl4v6UxJfy/pqe5+UgAAAAMi7gAAYHgzNYggSe7+TknvLLS72hf6X55Yp1AUc8fTnPRSvYTY3ljP20rrIy+FvPz1I918ueMbeQ7heUv3Z9vPOOPw6fv/tPbZrO3Y161k2+/1rzt9v7k7P27sQzpDKebExxoJzV3docjFY2Et55hfn9QKWDmcN+655Uj3eav5utQLF5yZbZ84q/ve1g6E+gn78x/U0tFGcj/v3/L9+XN33+vJvmFt57X8uKsHu185rcU8m6q5K9vMPkeVGgjhs5J+juJMsdZSUqsipJdWfk7JN2L8OUSVzzYmx1XNc97KMQARd9RR/GtelmdeKYlQyGUPee6VPPhEcz2/YJxY617YN1p524MWH8i2H7vyldP3v3Hl9uK+f7n4yNP3P7N8Xta2GmoDpO+7sZBftJZCzYH9e7pjXvc/sCdrazZ7n6Pdd+VtZ97cPe7CifxCePTi/J8V953Zfe45DzqatT1o9/Fs+6vHunUY7jsS+nckv3gvPNANEBZWCz9fSc0krGsuhHpazZjV3X0/8bPg8Ryl7bEmQhoHx1oF4TCNpE/VGghB6boV4+u0xkTsO7aG2CMzc4MIAACUUNwIAABM0jRiDzO7VNIbJZ2t9pLBP+7unxypE2Mya4UVAQAAAADY6V4n6fXufpmkV0q6brrd6WImAkYWl9RLxSnflVVw0nSGMH18YTWZ8n88LG14X77v0rHuVMLPnbw4a7vm8IFs+x8f2h3AWwoves9qPoUuXXqnskxjnDqWHCq+zziNvrHWffL6GeWlIxsbvUctG4e70yD9gWN529n7su1msrTR+oFwssPSSxvN7pTJpSP56++6L/ws7u3mFiwfzlMqmrvyr5jGeve5zTxzpLLUZbaSUZziV1oONC7xuLD5fSlf0jG+Tvxcx5SUUjpDv1QIjIgphcDcs8KSf1ZIO6hcnAu/65X0hXTad7j2tsLSgfetd6+xN7QuytpWwwXtq2fuP33/nMUjWdvxVn4xXEueu7CQX2ji8oCtpL8eLnArK/l1fXW9e9zzz8z7sBxioZtbZ5++v3gsfy/7/umu7sY99+f9Wb402773cd2T/7hzvpy1nb9yONv+h8Ylp+/fdzhfA3rxcP7e0jTLeL2N1+rWcvIBCOkMFs9vuhxkIcWjopBK0C+dIU1hsEo8HdIvCn2Ir5N+VrjcjcmEYw8zO1fS4yQ9pfPQ2yW9xswe7u6fH7EnI2MQAQBQK6QzAACASRpj7LHcWSo4teruq+GxiyTd4e4b7ee6m9mtki6WNPVBBNIZAAAAAADYfleqXd8gvV011R5tATMRAAD1QjoDAACYpPHFHtdKuia0xFkIkvRlSQ82s0V33zAzU3sWwq0j9mIsGETA0Cq54SEfLUutK+Wua5MaCT32XTrROw9fkvZ/ofuiBz+Xd/Dop87Mtv/s4m8/fX/tzJAPF97Lrvu7k3WW78/blo6F/LPkuasH8+lOKyfy56Y1Elbz7mnlvt5Tpe67LCyfdNnFPfYsO+OLeX7h6hPyDq4/kORkhq+1RjMWbej2d+1AXvxh7UDe3xNndc/nybNCvmn4XKXLOlpc4lFBmvsXk0aHkM1Si3mL8UVLKblh37gkJUZlKv4ABj4GgFmV5YeHZPBK6JA+0Ge6cSmvPD2OhZoICyfyL3a7r3sdPXHXmVnb++/MaxLdcLB7rT64L1/aMLrvaLc209oD+TXVTubXbkvqK7XOzC80D9yd1xWwlW6Qsmc53/frzzyUbd9027mn7x9+wsms7fATDiZbB5XLL9bpGfwPZ/+tSm4+fs7p+821/FwvxyW/k59TKCmh9b35D7i5r/u+l/bnAc1CqJHQ3Oi+bqsRP0fbdM0oHTbWWigGzbni5xxbNLbYY83dj/Tb093vMrOPSnq22gUVnybptlmohyAxiAAAqBtmIgAAgEmaTuzxPEnXmdlLJR2RdMWIPRgbBhEAAAAAAJgh7v5ZSZdPux+bYRABAFAvzEQAAACTROyRYRABQwtLEVdzx9OcwrzkQOWXJ11KuZrq1T3wxq78RXaFZK+lQ931hhc/l6cZ7fpIftRzzu/m3R2/OF9hZWNPnofnSYGHhfX8NRuF7eUHwnrN9+UJfc1d3de59+tCMYApWPnQGdl284LuD27xRPkb79h53f6v7ct/TqshXXJ9X/dYrZVyPYrFY91zFD9yxXoFQ9QuiJ+5LJW2zxd9Ke02LLmNcXPrm/c80DEAzKws/zv+usbv7iF+n62RFVAIh+1eQHwjBiz55tLR7msuxjIHd+Th9cae7jX23n15rYLWSnwzyWvEugwn8+3FB5LXuC8vDrD7q/G43T7d+bXnZU23n3umttu//dsXZNtf+J4/zLbXW90rvR3Pz19jLX/fawe7P4zm/vyCu7RvLdveu7u7vbyY79sKp+jYieQcrlcij1zp81kSY4u0plOsG1aIr/sdl2WMtwGxR4YlHgEAAAAAwECYiQAAqBX30StPU7kaAAAMitgjxyAChlZJZ4hTqBq92yrT0JNjtcJxm8msMrd80kxjI5+2t3C8u5xS41g+r7B56K5832R+2O6l/EU3DuTHXd/b/RVpLeedj+kMq2d29z3jlmNZ2+KteR++/CNfq1m25ytJKsFqWMoyTOlMf94PXJLvu3EwT+NY2NtdVqp1Mv/6Wbg3TF9c3/x++0VjH5JlrhZiW+/nVZYc7fW8zZ6bPi+m7WB7kZcIzJ3G0hBfpMXV9/r8cif75qkNki10p7vH3jSb+YumyxAuxjSDsAR0Y73b3ggpCht7wnLHy73738hn6mv1rO6+Bz+dt53993fkr/OFW07fv/+N39LzNSbla/7qOdn211741dP3F4+G5TRDimAaO55/0b1Z24P35imti43uT/LI2q6s7Z7jIbWkmaSzNPtMO8+WhO69fnlMKxjbMo390hdKy54O0QckiD0ypDMAAAAAAICBMBMBAFAzYyhuNFQlLAAAsLMRe6QYRAAA1Ir56LMxmc0JAAAGReyRYxABw+v3C2A97vfZt1ITYZcn90Mu4kqeibOxq7t80oGlvG3hwWfn++5dTo6bv+ix8/PlFtMlC30xLLUUlj5sdQ+r3Xflx7ljxmsglJx8UP6+l47HfM7k/hl54uLy/tVsezFZXul4WMLJQp7oUrJ0Vb9lJtN6FR6+1dJlRPstE5ZuxzoHxboHw+yL0ZGXCMyf8Bc+HyLatkIOemnfWBOhkeTPLyzkX+Qbi/n26kL34uKNPJZY2BveSxKWxJoH6dLHkuS7kutoSDpeP56/ji+nfQo1nm75crZ90wzUQSi5+bbu8tu7jhXy+yW1dnXf90X77s/aHrL7cLZ9LKmhFWsirG6Ec7aaBAxr4eTHj9Vi789Rtj1E3DGMYg0Eaa6WEpwZxB4ZaiIAAAAAAICBMBMBAFAvPoa8RP5KAwAABkXskWEQAQBQL0wpBAAAk0TskWEQAUOL6/VW8r9L+eBD/PKk6wBvhBzC5kq+b7rO8uqBfN3fxnqsXdDdNx5n9WC+78a+5M2EwcPGg/J8f31ld3fXeOB5EhcuTkZVl+/N8wvXdi3n20ku6sL9+dfPyv2hJsLR7r6N8JlrLYXt5GVbhZoIlaWc42c5bQ9tUbpvvxoIczTwDADbIl5aLLnoxrYYS2T54f1y0LO2fGdLNhcW84vA4lK+vZFsr+0KF6Vm6MRCcj0Lx9l7Rh5LHNxz4vT9PUtrWds3HLgj2/7E/Q85ff/zJy/M2r765Meork4+/GS2vfszeS2D9Gd60z3nZE3L5+Tn98h697lfPZbHh8eP5cf1E0kwET83C/EDmtRECG1WuOZXQqhhAoQhPst5h+boX66YGQwiAADqhb8GAACASSL2yFBYEQBQLz6m2xDM7LfN7BYzczP7puTxS83sA2b2OTO7wcy+YbQ3BwAAZs4UYo9ZxkwEDG1hLTwQfyGSGVVxdlVp0lZlSb1kRpqH4S4Py0Fu7E2Wg9yjsHPYTJbeae7OX9T3bWTbu/d1pxlamA72kDOPZNu3r+w/ff/evfmUuX2fn59ftYWQHrJ0vHt/5b74Ew5TPNOWo/m+y0fy46afs/jzjsuBpss6xs9K9qGLsxELn7lKikJ8a2mmS+Uz1ue5GM10ihv9iaTfkPT34fHXSXq9u19nZk+XdJ2kx4/WOWDn8VZYFrHnRh8jfDWkU83jNPO45OPKrvXT95dX8tghWlroXlxWlvJ9z95zLNu+YM/9p+8/ZCVfrvAJe2/Otv/5/s+dvv/hsx6Wtf3xx+fna2jxRNg+2g0CDh/Og74b/cHZdrPVvSCfPJGnWDYLS017TF+IKz4msWQlfSENCuLSpaWlGYe4LlXSfwp9iEtQxt81DIjCihlmIgAAdqplM9sfbpsWNHH3v3X329LHzOxcSY+T9Eedh94u6SIze/j2dhsAAGB6GEQAANSK+Xhukq6UdDjcrhqiKxdJusPdNyTJ3V3SrZIuHuf7BQAA0zXG2GMuzM8cawDAzjC+4kbXSromtKxW9gUAADsbhRUzWx5EMLMnuPuHxtkZ1EMj1kQI6T3ZEnuxlkHYznLb4xKK690H4hJ/HvO7kuPG5f8q+ZFWaFvPO7i21n0zMR/y6Go+63nPSjc/cvEhR/P+ff6g5sXSkfyHkS2TGIoXLOapntn5tmb+M2yElNL0cxRXzGzuCjmGhc9RWtugVAMhbsd942fXSjUR5iflbd6tufuR/rv19GVJDzazRXffMDNTexbCrePpHlLEHXOusoxjYYnHIOZ8F9tKy+8l+fPN8KKtkEfeSI67GJaDjDWUSm3rzfy6eWyje8E7vpTn8N+1sS/b/rqV7pKPv3j23VnbH89RaZZd9+TnLI0BTi7m5+hIqHOg9OcfawHEH1N6nV8KyzYu5UFB6TNX/OyO8DkvBRceDmzpeyEmwTYYJZ3h+k416l8ys68ZW48AAKgBd79L0kclPbvz0NMk3ebun59er+YacQcAADNglEGEZ0u6SdIvSbrJzN5vZs83sweNp2sAAFRNIy/RzF5nZrdJulDSu83s1EDB8yQ9z8w+J+kXJV0xzveKDHEHAGAqqImQ2/Iggrv/sbv/K0kPkfRzak+W+W+Sbjezd5jZ081suXgQAABqwN2f5+4Xuvuiu5/n7g/vPP5Zd7/c3S9z98e5+43T7uu8Iu4AAGA2jFxY0d3vlvQaSa8xs6+V9COSflTSWyUdNrM/kfQ/3D2urY2a6psrnqaf9amJUMrTaqwnu7Via8iJT2sixBAypkMmx1o8luci+kLewdZy91ckvpe7F/K1iZt7ugdu7FvP2vZqfiwez99beu5X8tOphbXe45Stxbid/0w3dif39+Rt8WecpQkWft6xBkKsw5B9ziqfucK+sS3WSCgfCsNireYdjbhjZ8jyw/v+vnZ3rtQjiHVyCofK6h7E1ywcp9kc/Pvk+Mn8AnZ4YXe2fefRbt2Dm1fOyto+tHBJtv2IMw+dvv+0B3144D7UzcrR/OK9mtQ9WHwgjzNsPcSHSW2DULYpa2tvdy/stpy/ZmNx8Cu5J/GBh8+RV+oyFD478/Rn63lA7JEZ9xKPJyQdl3RS7a9bl/T9kv7GzG4ws0eO+fUAADuNj+mGeUDcAQDYfsQemZEHEcxsn5ldYWbvkfQlSf9F0i2Sni7pfLWnHT5T0rmS3jDq6wEAdjgu5DsacQcAYOKIPTKjLPH4/WpPH/w+Sbsk3SDpRZLe4u73hN3/xMwOSnrtVl8PM6TPTJyhZuokv0xx1tZCslq7xWnncbp4MhzWXC/vm05pb8R9C0sAxuPsui9/YHV/d57ciXNGzhSaWc3d+Xtb39fd3ghLLy6s5+eosdHdboYpfb4QUhaWutsxfSGmQpSWZkxTFipLOpZSFkpLg262DWBbEXfgtDFN845L6vlGN5ioTDsv9KG10Gff5Fi+EdfFzrdPJNtHQ5rE0v353/6+vPv80/f/+iGXlvtQY2tn5O97/Yzu/eau/IdYieOS9IZW+IF7DNUWkrSYhXDc8JnzwtKMXkqLmdR09qRPfT/LwBaM8i+dP1N7jexr1c49/Gyf/T8u6c0jvB4AADKN/m8IQqpaIu4AAEwFsUdulEGE73L39w26s7v/g6R/GOH1AAAYz5TAOZpSuIMQdwAApoPYIzPKEo/vG2M/AAAAeiLuAABgNsxv4ja2TVymsbg6TcxBjyNwyXZcbm/xeJKbFtrifKDWUu/GyipNSb7cwmreobQOgyQtHe/uvHgiT7Tb+6lD2XZrf3fJx9Xzz8ja7n7U/CxdfuShK9n26oEk33Ap33fPofz8Lh9Llk+KeYutkH+Y/uAKn5v2vulx4nF7t1VSFQvDqnFpqOxYczSyXAv8NQCYe5ZdAmJ+eu/nxSX1LDw3W8Yx1ubZ6N1W6qDHpPgY7KTH2igvSbhwotu+eDxv239ziFmSuk5r+/LFpO/99hDQ1Ni935Cfh/Xz1k7fbyyFQPOreYzSWC/VJ9j6hcBLNQcK9RJK8+Ern+tR1osuxVAsHbk1xB4ZBhEAALViPoa8xDm6kAMAgO1F7JEbeYlHAAAAAACwMzATAUOL07pL6QyNMMtMMb0hSVNIl/+TQmpBnBk4zCe3kH5RWipQCtPbQx9WLzk721757O3d+3HpwEc9qH8/a+L+R+TbG2d0T9quQ/mHY+1AmFaanPyYvuJxHl9yDuO+USlloTR1rPJZTrYraTthO0uhGGbpSIzONfoyWXP01wBgLiVfsqX0hYqYohBnmhfSGdQsTH2Pf0JsDD4t3dN9w/Mq16G0PfTh5Fn59oM+3c1nWLkvP86eP8sDnNt+sM+FdIYsLOUX0Yd+623Z9lm7jp2+//HbL8jaTu7L37cf757gvtfmdCnOsLxm5ane434fxZSF+JGrLCs5+GuWlpmMy1diQMQeGQYRAAD1Ql4iAACYJGKPDIMIAIBaIS8RAABMErFHjpoIAAAAAABgIMxEwNBaC+X20tJ3leX3mpvfl8LqNOE1W2HFxOZykscWPtWltMaNPSHnLSxR6AvdcbbWYjhQGIJbWVnu2XbeDSey7UOP3626OHpZnke5dCBfNmrvrm5O5onV/VmbteI4ZXd74WQ5LzQ7TkjlXCjUrigtI9pvSce0Rka/2h9ZHYbYRo2E7cWUQmD+DZN6XKp9E+selGoipGLNg7id5JX3yzHPXiUUi0rjDCkvy7BJp7KtE2d3L1qxBlW8Zp39/7pLH979XbO3/ONlF3WXzX7i2Z/P2s5bOpxtH23tOn3/tqNnZm13hRO4bt3YzDcG/9tpadlGSXmwEdqKK0eGIMXSz1WlJkLYTj7oHpesjnUPCkukYouIPTIMIgAAaoUphQAAYJKIPXKkMwAAAAAAgIEwEwEAUC9MKQQAAJNE7JFhEAHDq6xxm2+mvx9x2k5ledUk77xlvesTtGKdg7CdtffJT887mDc1d+XbraTWQnNXyLML9RROHnzI6fsr98fiD/nmvtu67UcvnL0JQQ9c0j1psQaChbzQBw6dcfp+I7yV9TPit2X3RCws5yelEZewTtMEY02BrS7TG/oXayKk25XPaty38DKVzxzGiws5MPdsiHm/riwBvM+Bk/uxlkH6PR+udbHuQXotjLnrlXz1Qu2FxnKokbDUfXJzKb/wtHblxXru2dttX74v5MTHPqS1g+7LC0v5wbWe/ds24ZR83YFuTYQLl+/J2tZD0PfRIxefvr/YyN/orqROkyR5UpupuZ6fT28WLuyxzkH4YNmAgUj8bJRi6BhfVaR9isephFu9P5/YohmMPczshZKeq27vfsPd/yhpf7mkKzqbb3H3lw3SNggGEQAAAAAAqJdPSvpn7n7YzC6S9DEzu97dbzazJ0p6lqRHS9qQ9H4z+4C7v6vUNugLz96fQAEAKDhV3GjUGwAAwCBmMfZw9/e6++HO/S9LulPSRZ3mZ0p6k7sfc/dVSX+o9sBBv7aBMBMBQ4tTwEu/EHHfypTwQmpB+tzq0ou9XzNOJW+EWXrptPnKkn9h6ciNZCXGjZDqsBDSGZrHktSHpTCtsHCOSlMOJ2XxeN7BxWPdTmxY/sY9TOlcfCDNSSm/TnNXYUmk8L7Tn1PfJRILn6NslmufKX3Zzymm4sQMFd/8/qZ9AAAMJ/0eHSbwjkvoVb6PSxfk7t1GTF8oXMgrKwu3CtPmS0v8SVpcSoKYpTygae7KtzdWumF8cyUPjBr5rP5Ma1+eP/gdj7gp2/6bz17a+8lb9OB35QHWHd+ev+9/vOfC0/fvOrkvazu+kT/30PFuGuXqevmfMkvL6XvN943LaXqzEDAU0hsqSzGm2/3+1VhIoRjmX5zx8zlUig8mbdnM9ofHVjv/mN8yM/tuSQcl3dB56GJJf5/scoukHx6gbSDMRAAA1IuP6QYAADCI8cUeV0o6HG5XbfaSZna9md3d43ZRst83SnqDpGe6+7Exv/NNMRMBAAAAAIDtd62ka8Jjm85CcPfL+x3MzB4p6Z2SnuPu6eyCWyU9NNm+pPNYv7aBMBMBAFArs5iXCAAA5tcYY481dz8SbltKZTCzr5f0F5Ke6+5/FZrfJunfmdleM1uR9BxJbxmgbSDMRMDQYp5drE9QzCuPw1ZpOn2sc5Ckc7VCrYIorYMQ8+fjPxYa690HfCEsKxn7m/yGeMhbjM9N+7B4Ij9Oq1AbIp6TE+eHTlzYPdi+M/ID33d3N29w/8fzk3Teh49n20t33H/6fvPg3qzt+EX5tje6b3xjT/6Dqfy8k/cda1fEn1trMS0kkLeVll/sWzdiiLoH2dPiPyQLSzNWSi2kfQrHYYnHCWAQANixvJKvXti5cE2I9QjSXPZGo1yMJ+1DZQnH2L801z7uGmKJxkL3dRuhf2mbJK2lr3siLAe5EjucdGExP87htbz20Zv++e+fvv/PduXHfcvRg6fvX/V3T8vaLnxXHiCc8YUj3e5dkLftviMPGL60fO7p+1/eezBri8trprULYtviYn4BbmRLcZbrUaTnyGPBhFKtjWFGpSsvmQYwsbH357zyOxCk77XfvhjC7MUevy3pgKRXmtkrO4+9xN3f7e7vM7O3Srqx8/hb3f2dklRqGxSDCAAAAAAA1Ii7f0+f9qslXT1s2yAYRAAA1Ms4CiPO3l8TAADArCL2yDCIAAColXHUNKAmAgAAGBSxR45BBIws5n8Xf0F6p59VnpduNtZCW0xVS9L7Ys0G2+i9byW3Psjy/cNvS1wX2At5+Xvuzk/Swmr33d37dXleYHxumpe5HHL9Fla62xt78uetn5F3eHGh+2Ybx/MTuuuufN+1M7r7Lqz1yaVLflDNXfm+6/lSz2qsD7FucbproQZCbC/9TGNtheri3t27lTW2Y92DQrpsv88VRsRfA4CdrfLdXbpO9cmD76EVixmFICWtgxDz56s1EtLjlF83zV+3yoUm1GJK895Dd5fvzR9YPNZ97rF9eWB0bD0voHDzWrc+wZmNL2dtR1oP6b7GvjyWOHrRGdn2wlp3u7mS92fpgby/i4e7NROaG+F8VuKt5IQuh3O0O9SYSGKo1hC1Afp+Tgb8HA1zranUYajsUCrwEYOUwV8XAyL2yMxsqGtmv2hmbmavTh7bZWavNbN7zOwBM3u7mZ03xW4CAIA5QewBAEB/MzmIYGaPl/Q8Sf8Umq6V9K8l/ZCkJ0l6iKQ/nWzvAADTxBKP2A7EHgCAXog9cjOXzmBmZ0h6s6SflPTy5PEDkn5C0o+4+//rPHaFpE+b2be5+wen0V9s8gtRmOZdnF0VZ2INPjsxm1oe0xei5koyBTFOkQu/EWl7I0yvq6RxpCkVfZb4S6cd7jkUlmza3wj7dt/srsX8ze3Ze/L0/RMH8yWaTpyTv5mlo0luQTh/G2fkKRXpe1sIqSSVqVhp2kFYasniFM/Cz7SSopK2jSmdIfY9ruCVfnYqS4UWUiHispekM2wzphRizIg9Zo8XlkWMF4y4Ml7KFFMNssa8LW2K6Qvxiz29BsT0hShb3njw9IqYUtEKr+PN3hebuORyMwkRFr+ar7/8lQMHsu0vnt1NZzhrMc87WE8ueOccyNvuvDjkVarbiTSNU5LWzwi7pm+tcr2NaRxJUyPETK08AGsVg8lCH/pcJOLnoxePH7JCqkvlczxE+kLxc47xIPbIzGKo+1pJ73L394THH6v2t9Hpx939M5JulXR5r4OZ2YqZ7T91k7Sv174AAGBHGlvsQdwBAJh3MzUTwcx+WNK3SHr8Js3nS1pz9/vD44c6bb1cJek/jaWDAIDp468BGKNtiD2IOwBg3hB7ZGZmJoKZXSTptyT9qLuf7Lf/EH5d0oHkduEYjw0AmDDyEjEu2xR7EHcAwJwh9sjN0kyEx0o6V9JHrZu/tCDpiWb2M5K+V9KymZ0Z/iJwnqQ7ex3U3VclrZ7atmFyozCQypKE3rutWMtgiPyt0hKPlX1jvnqyHXMGW2Hf7DVCnYPGRu/tmDrZXO79uWsthuWIwtKCxx/oLr20vv9Y1rZv1+mPto6elT/xgQvynEdr7j59fzHmJoYlkTaS7Xj+KrUgku2NvSEnr08tg9K+2ev2+2xYj/vSUEtrZZ/HWNei8MUfl/8EUBtjjz2IO7ZB+P4t1UAYSqGWQSWXvbIOde/nVuocJNuNWDuoUnuhe78Z6grFGglZLYbwmq2lGHD1bltbzS9iNx8/+/T9h67cnbXta5w4ff9rDuRtdz44r61wrNUtxBBjm+au/MLe3JNegPN9Kz/wtMTErhiUFDfLjemSmcOskdgn1i3J3lqlUNcQLzpP/zpFLcxS6PteSd8YHnuDpM9IeqWkL0tal/RkSW+XJDN7hKSLJV0/uW4CAKaKKYUYH2IPAEB/xB6ZmRlEcPejkj6RPmZmxyTd4+6f6Gz/gaRXmdm9ko5I+h1J11MdGQB2EC7kGBNiDwDAQIg9MjMziDCgK9We2Px2SSuS3i3pp6baIwDAZI0jr3ALzzezSyW9UdLZkg5L+nF3/+SIPcHsI/YAgJ1uSrHHrJrpQQR3/46wfVLST3dumFGVPPhUTPcqLYFbyIMvZqrF3PqwndZBqOSyF1LMLNZACPl92Vq/4Tgbu8Jaz0k+Yqw5EI+7cF+3k3csnpn3L8mBtBP5geJxV8/sdmot5Fk2V+J28hrhC29hNd9O60hU0vn6/CxS8eedHquQttjet7Dud0mltkbPjeGOi7n1Okmvd/frzOzpkq7T5hX9UWPEHjOoFCxIKpadKEX9Q9Q5KNZA6HORyq7Vsa3Qh1gDobVRyJmPsc5yqLWwmN7P2zbW84Dhc/ede/r+yWZePGq50a1B8JVjeQ2ERiO/kK8fSItFhb4v5ftauh1PyUZ4c1kdpHg+w65pnYPKRT/WjUja48emUpahu68N8y/DYT5zW/1cAxMwM6szAAAwEB/TbQhmdq6kx0n6o85Db5d0kZk9fKT3AgAAZt8UYo9ZNtMzEQAAiMaxTFLn+ctmtj80rXaq60cXSbrD3Tckyd3dzG5Vu8De50frDQAAmGVjjD3mAoMIGL90NtgIc13S5/b9pUunfPWZglZ8zbhcZZJasLDWu03Kp+M3d4VlmcK0wsZ6soRiOEfxuMv3dnfYWF3JG5OXWTgRlooM/U2XmYypDs1w2LR98URoi/1NVleKq2VVUhTS5w6zelJhadDKsQppCJXPY5xVmKZmDLE8JWrrSkkvDo/9qqRfmXxXAPQUp6yXvpBHidLT5/ZJoRhq30GPI6nV7F6IYvqCN2OOYHJ/Mb8weiM8t7CcpUKK471H9py+f3wtT2dI91xdy/8ZEdMilKRu2kK+FONCTGdIUiE2wpKTpSUU4/vysBxkJYWhxHvclzb5GfdeDjJNoags4VnZN90YIS0CmDAGEQAA9TK+CsnXSromtGw2C0FqL/X3YDNbdPcNMzO1ZyHcOmJPAADArGN1hgw1EQAA9TOenMQ1dz8SbpsOIrj7XZI+KunZnYeeJuk2dyeVAQCAnYB6CKcxEwEAgME8T9J1ZvZSSUckXTHl/gAAAEwcgwgYOy/loFd27t2UZY31G70r5LHF/Plsu1+ufdrWDNsbcYfu3dZSbAs1EpL2ynFDn9KaBAurIZcu6W8j9Cf2L13eqbK0ZRD7VGprbBTyQkeoT2CFn6niz7RQE6FYhyFsp8tV9tu38vPHxJhGL1Gxlee7+2clXT7iSwMYVWOb/qSXHrZfznlyvfN4/apciNL8+aDVO1Cq1DEoxChaCHUjwjKO2bGasX/59sbJbpDyQKh7kNUjiDUa4nGTPlnoX6XkQOE8VN53+l4qKyaGZTGTWhEWPzdD1Eso/4x71z2oLOEZFT7LlXoK3vu4xZoXGItpxR6zikEEAEC9kJcIAAAmidgjwyACAKBWWGYJAABMErFHjsKKAAAAAABgIMxEwLaKee/FmgPDjM6VahnElLc4VJbsW+lPSFZqJPn/ldoFrZCPtpjkR4alkmMNglItg0q+f6G/6XMb6/GNh8Mma0bHNECP3wSlWhXhfae1AWKOnoX8yPQc9ktFTNsb8ZwU3mo8R/3qP+QHTo4ZP7tzNHpce0wpBHa2GAMs9P6F3nKueJ+LVMyRL7alueyVtPyY217oQ9xO8uljvn88J+nLeCO/wMX+ZtuxzkFz8NoKpQtnI17Yk+dWfmTxuIWfqRfqJ9gwH4Uh6iVEfesgbPF5aTs1EKaA2CPDIAIAoF64kAMAgEki9siQzgAAAAAAAAbCTARsq8Z6vj3ctPne+8Up6+mss8oEr9JSff1mg5VSH0r7htQHX+7dh1Z8b6XZgJVpeoP3L52eH6fqx/SL9LjV1Iy4zGQynTK+l5gCkqaHxD4U0gcq/atMdSwcp7RcZWG1p2r6Su/jYLIobgQglV43K0vxFZbJG+avgtXjDtbW/8D5zkP1L732hentjcXYqfQ1eqc6xD6VUjP6TvlPrscx3aIRtltpPBN/ZjFdpXReKv1N7g7zc4rpmUMszuel8xL7l/1cQnzFhWqmEHvkGEQAANQLUwoBAMAkEXtkGEQAANQKfw0AAACTROyRoyYCAAAAAAAYCDMRMFEWljOsLL84oFK6WVzSr5j/P8yIYKm2wmbbicoyjum+sX9xxaSkj5X8vXTJxD7nsnTOLNSuSPvUCvUIGuH8tpIlnhobcYnHkAO50XsZzMiHOEfF+hm++f3NpIcdYXUnbDemFAJItJJrS2m5x+0S8/1jPFDKbS8tFVmNM3q/TowPKksdFvrjlQ73rnXk6Xvtd6oL77u5kQcBliz5WFmeMsQSWbxTCZrCZlorIp7P+HPLXjRub7EuQ9/1rHv3p1JbgevWdBF7ZBhEAADUClMKAQDAJBF75EhnAAAAAAAAA2EmAgCgXphSCAAAJonYI8MgAqYqy2WPqV+FNLbKvsmcmkoKWZ/c+579UT7tqJLWFhIQizUJhsh5rNRwSNdZLqwvHA9UrUfQvb+wmh+muRJeM123OPSntRS6kNZlKJw/Ka+JYX2+fbLX7VN/In2Z0s9QhRxRabjPCqaICzmAHrwZroWlvPchVGoSZQV34r69axdUaiCUtivHiS9U7Wf3dXo3xv7Fc2Sl/iYXUo8TmlvWc7u1nu/bWAyvWervQn7x9jRAaIad43HSp8aaA6G/6Xkp1bGQQh2Jys+w93uJ57PyucpfBLOE2CNDOgMAAAAAABgIMxEAALVCcSMAADBJxB45BhFQC9VUgtDe2Pz+Zvum090rv8xxmlmyb7/jFpdQjNPoC+kClflB6b5xll7yGxxfo1GY829h+l9cgrJVSmcIU/7TtAQL00hL35XxNeMUv/R1+qUZWPrzj43pz5tlG+cDUwoBbLch1gQupS9Iyr5vSmkG7R1K60UP8cU1zNKRlfZ0Wn/huGEpxuKqhyF1wFv53q3SBTrGccl5qC6DWEglqaQvhKem6aN9fv5pe2WJzOwHXn5N1AixR4ZBBABArZgkKy6uPtgxAAAABkHskaMmAgAAAAAAGAiDCACAevEx3QAAAAYxw7GHmZ1rZofM7B3h8Zeb2c2d2zWDtg2CdAbMjmGWQSzUSKiksRWW9Yu1AYopcHHpxdDshT7E7WLeYGmpy8ITS8+T8poJjfC+PZ6HtB7BEPUoKss/xuUW0+14jmIf0vNdqCkR+2iFn1Pl5zBP88p2EIobARhUzIPf8nzifss4ll4za4zbpaUY+/WpsA51JQjoXUegmP9fOU6P128fKDy393FKP5fKSpbFa36oyzDKcovp6YzLZhfOUWwrLv9YwnVpps147PE6Se+UdNbp1zJ7oqRnSXq0pA1J7zezD7j7u0ptg74gMxEAAAAAANh+y2a2P9xWtnowM/sJSV+U9Heh6ZmS3uTux9x9VdIfqj1w0K9tIAwiAADqZYanFAIAgDk0vtjjSkmHw+2qrXTJzB4m6fmSXrZJ88WSvpRs39J5rF/bQEhnAADUyoxPKQQAAHNmjLHHtZJiDYLVTfc3u17SpT0O981qzyD4GXc/YRNeP5RBBMyHJGe+8gteynkLc3FaYTvN4Y/7lsQuxNoAw+RkZu8nvpfC+x7miy72r7GWtC3kbZW+l2oixDoH6euU1p6O+8ZaBvHnlGyX0jepgQAAO9yYBhCzugL9jlkqbtSIF7jk/jDXrGGKL/WT9DfWDchqGYxyUY01Epo9myo1B9LtSjzQJwYcvE+FOgeb9KmnfsWYGNHeidbc/cggO7r75b3azOyA2jUN3toZQDhD0h4ze6+7P1nSrZIemjzlks5j6tM2ENIZAAD1QjoDAACYpBmLPdz9sLuf5e6XuPslkn5B0l92BhAk6W2S/p2Z7e3UXHiOpLcM0DYQZiIAAGqFdAYAADBJdYs93P19ZvZWSTd2Hnqru7+zX9ugGERAPVTyA8Jm0l5JHSgt8RhfZqH3dr90htL0+4pCe2lGYuW9FY7TimkIcTt70UJTeM3KebDebcVphqXlH8N2vy/d7BwVlrbEnBjHaD6DCABK+s3Uz1INw9T80jW+FMCoumRhsQvjytErZUIM811ZyatM7o6S+VBYkrKSVlB5nST1obIMZty1lKpRTm8YGCPY9TXjsYe7XyfpuvDY1ZKu7rF/z7ZBkM4AAAAAAAAGwkwEAECt1G1KIQAAqDdijxyDCACAenEvzxce9BgAAACDIPbIMIiAWirmuQ+x1GGl1EJhJZ5+9QhKfSot8Vj5Pin0v7IUY7qEYr/c/0LtgmJqX5/3maUNxpoSsUZCepw+6YTD1E8AAGAeDFXnoPTvkVGWEkyXwu5XRyB9iVLXt/j6mzd3X6h/TYS0qU9dg2HOZ7ozy0djB2IQAQBQK0wpBAAAk0TskWMQAQBQLzNeIRkAAMwZYo8MgwiYO5VlBUvT7/seLDnOEGkH/Zak7Ldc5CD9idulVIz4mnEpy8rLJO22kbdVlmLMchTCgWIfrHdbad84RXLL5w8AgEH0uY4PozjNv/Q6fZeLnsI8+uQ1Yzpm5X3a4FP+06UtvdVvKcb0bu/lH6sv0vs47fb0wKOsSbn1pwJ1wSACAKBeWmOoi0FdDQAAMChijwyDCACA+uEvPQAAYJKIPU5jEAEAUCsUNwIAAJNE7JFjEAFzrxU+5dbcfD9pk3z/dGOcv/jpsUbJ7y8s21jZTs5Dq09NhGJKYZ/aEEVbfK/UQAAATNUQ17pKHR/v3VYtYDRUr7akWDdgqOPEB/LjpnUOrM91vLLcddY4eFGJWE9hXO+1aI7+YQgMitAcAFAv7uO5jZGZ/Ssz+4iZrZrZq0Nbw8x+x8xuNrPPm9nPjPXFAQDA9prB2GOamIkAAKiVGZ1SeJOk50j6IUlnhLZnS3qkpMskHZD0MTP7a3f/5Nh7AQAAxm5GY4+pYSYCAGCnWjaz/eG2spUDufvn3P3jkjY2aX6mpN9z96a73yvprZKeNUK/AQAApoaZCNhxvFAPINZLKC4ZXNgeannhuM5yXP4lzaUsjWD2698wSq9Z2B5l6ZtSrQog4xo9B7X9/CslvTi0/KqkXxnx6NHFkr6UbN8i6dvG/BoApqXPnxctuSCPMpu5Xw2CQfkwQcqY/nLa930P8TpZjYlKsBNqJCTtI9VHmKc/IWNrxhd7zAUGEQAAtTLGKYXXSromNK1uur/Z9ZIu7XG4b3b3L4/WIwAAMKtIZ8gxiAAAqJdxFCdqP3/N3Y8MtrtfPsKr3SrpoZKu72xf0nkMAADUwfhij7nAIAKQiKkOxRWHYkWRUoWRQsrCKCkAg76GlKdYVKdEFg4b2qrLUw3Suc5zSVnAzvQ2ST9pZm9Tu7DiMyV933S7BGBikj8/xun38d8UlWtsqtH7ghun6ldSFrzH/W2U9sEqQcpk+rBl8/QnY2AbMIgAAKiVWZxSaGZPlvRGSfvbm/Z0ST/l7v9L0pskPV7tFRxc0qvc/cbx9gAAAGyXWYw9polBBABAvcxgcSN3f6+kC3u0NSX99HhfEQAATMwMxh7TxBKPAAAAAABgIMxEALaoUsugUNvA42/aoMs29lNYXrFYyyCmSoZaEKU+VVaGKiyZCWwHphQCqK3w5VOtM2SFfcN26U+BrUKNhH5LPA74BVmpEReOa0kNBw+BR6VGwhCKdSMqsU/Sh9asF2LALCP2yDGIAACol5ZXAuQtHQMAAGAQxB4Z0hkAAAAAAMBAmIkAAKgXihsBAIBJIvbIMIgATIBt9G7rl5pYPnBynCHmFVmzvA3MMvISAcytwpdTzOm3haQY0ijBRHzN9FCl78o+r+lJ92xhhC/d2L9C3YjYXx8pyAK6iD1yM5XOYGZXmdkNZnbUzO4ys3eY2SPCPrvM7LVmdo+ZPWBmbzez86bVZwDAhLmP54Ydj7gDADAQYo/MTA0iSHqSpNdK+jZJ3yNpSdJfmtneZJ9rJf1rST/U2f8hkv50wv0EAAD1R9wBAMCQZiqdwd2fmm6b2Y9LukvSYyX9rZkdkPQTkn7E3f9fZ58rJH3azL7N3T844S4DACbMNIYphWPpCeqOuAN11lrf4t8CS+kLCktJxiWh0+WkS8tTarilGL05xLfyPM0JR20Qe+RmbSZCdKDz/3s7/3+s2n8leM+pHdz9M5JulXT5ZgcwsxUz23/qJmnfNvYXALDdfEw3oIq4AwBQReyRmdlBBDNrSHq1pPe7+yc6D58vac3d7w+7H+q0beYqSYeT221j7ywAAKg14g4AAAYzs4MIaucoPkrSD494nF9X+y8Lp24Xjng8AMAUmftYbkBA3AEA2BSxR26maiKcYmavkfR9kp7o7ukI/p2Sls3szPBXgfM6bRXuvippNTn2+DsMAJicVuc26jGADuIO7GhbXBbRGvEfRIV/IMXXGKYGAjALiD0yMzUTwdpeI+kHJX2Xu38x7PIRSeuSnpw85xGSLpZ0/cQ6CgAAao+4AwCA4c3aTITXSvoRSd8v6aiZnco3POzuJ9z9sJn9gaRXmdm9ko5I+h1J11MhGQB2hnFMCZynKYUYCXEHAKAvYo/crA0ivKDz//eFx6+QdF3n/pVqTwZ5u6QVSe+W9FMT6BsAYBaMo8Lx/FzHMRriDgBAf8QemZkaRPABkrDc/aSkn+7cAAA7jXv7NuoxsOMRdwAABkLskZmpmggAAAAAAGB2zdRMBAAA+jFv30Y9BgAAwCCIPXIMIgAA6oUphQAAYJKIPTKkMwAAAAAAUDNm9jQzu9HMPtG5XdJ5vGFmv2NmN5vZ583sZ5Ln9GwbFDMRAAC1Yq32bdRjAAAADGIWYw8z+2ZJ10j6Lne/3cz2SWp2mp8t6ZGSLpN0QNLHzOyv3f2TfdoGwkwEAEC9nJpSOOoNAABgELMZe/xHSa9y99vbXfSj7n680/ZMSb/n7k13v1fSWyU9a4C2gTCIAAAAAADA9ls2s/3htrLFYz1S0sVm9jdm9jEz+zUzW+i0XSzpS8m+t3Qe69c2EAYRAAD14mO6AQAADGJ8sceVkg6H21WbvaSZXW9md/e4XaR2aYJvlvRUSd8u6f+T9IKxv/dNUBMBAFArJpeNOCXQGEUAAAADGmPsca3adQxSq5vt7+6XF49ndqukP3X3E53tP5V0uaTXSLpV0kMlXd/Z/ZLOY+rTNhBmIgAA6mU28xIBAMC8Gl/ssebuR8Jt00GEAfyxpKd0VltYlPQUSR/vtL1N0k+a2YKZPUjtOghvHaBtIMxEAAAAAACgXt4i6VskfVLtVRn+TtJvddreJOnxkm5SO5HiVe5+4wBtA2EQAQBQL63ObdRjAAAADGIGYw93b0n6hc4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-      "text/plain": [
-       "<Figure size 1200x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((snr_norm, flux))#, backend='bokeh')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.9. PACO"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The PACO algorithm was introduced by [Flasseur et al. (2009)](https://ui.adsabs.harvard.edu/abs/2018A%26A...618A.138F/abstract). It provides a method for extracting the faint signal of the exoplanet from the background noise by building up an empirical model of the background noise. The motion of the planet through the ADI frame is used to identify statistically significant point sources within the field of view. Finally, the flux of the planet can be estimated using an iterative fitting procedure."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Two versions of the PACO algorithm are implemented. While the FullPACO method is more statistically robust, FastPACO produces adequate results in a much shorter time, and has been parallelised using the multiprocessing library."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vip.invprob.paco import FastPACO\n",
-    "paco = FastPACO(cube=cube,\n",
-    "                angles=angles,\n",
-    "                psf = psf,\n",
-    "                dit_psf = 1.0,\n",
-    "                dit_science = 1.0,\n",
-    "                nd_transmission = 1.0,\n",
-    "                fwhm=pxscale_naco*fwhm_naco,#PACO takes the fwhm in arcsec\n",
-    "                pixscale = pxscale_naco, \n",
-    "                resampling_factor = 1.0,\n",
-    "                verbose = True)\n",
-    "snr_paco, flux_paco = paco.run(cpu = 1)\n",
-    "plot_frames((snr_paco, flux_paco))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can now estimate the flux from the snr map."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sources = paco.subpixel_threshold_detection(snr_paco, threshold = 5.0) #Threshold in sigma\n",
-    "posns = [(sources[entry]['x'],sources[entry]['y']) for entry in sources]\n",
-    "initial_guesses = [flux_paco[int(s[0]),int(s[1])] for s in posns]\n",
-    "flux_estimates = paco.flux_estimate(posns,eps = 0.1,inital_est = initial_guesses)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.10. Summary mosaic"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's take a look at the final residual frames produced by the different algorithms:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 2400x1800 with 24 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_frames((fr_adi, fr_adi_an, fr_fdiff, fr_lstsq, fr_pca1, fr_pca_an6, \n",
-    "             fr_pca_auto, final_ff_opt, final_ann_opt, fr_nmf, fr_nmf_ann, fr_llsg), \n",
-    "            rows=3, colorbar=True, label_size=12, label_pad=8, axis=False, versp=0.05, horsp=0.15, \n",
-    "            label=('median ADI', 'ann. median ADI', 'pairwise frame diff.', 'LOCI', \n",
-    "                   'full-frame PCA (5 PCs)', 'ann. PCA (3 seg., 6 PCs)', \n",
-    "                   'ann. PCA auto PCs (noise tol.)', 'optimal full-frame PCA (max SNR)', \n",
-    "                   'optimal ann. PCA (max SNR)', 'full-frame NMF (13 comps)', 'ann. NMF (9 comps)','LLSG'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Check out tutorial `4. Metrics` for more details on evaluating i) the significance of a potential point source, ii) the achieved contrast in your image, in the form of contrast curves."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[Go to the top](#Table-of-contents)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": false,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": true
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/docs/source/tutorials/.ipynb_checkpoints/09_datasets_as_objects-checkpoint.ipynb b/docs/source/tutorials/.ipynb_checkpoints/09_datasets_as_objects-checkpoint.ipynb
deleted file mode 100644
index 732c57e5..00000000
--- a/docs/source/tutorials/.ipynb_checkpoints/09_datasets_as_objects-checkpoint.ipynb
+++ /dev/null
@@ -1,2525 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 9. Using Dataset objects"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "> Author: [Ralf Farkas](https://github.com/r4lv)  \n",
-    "> Suitable for VIP *v1.0.0* onwards.  \n",
-    "> Last update: *24/03/2022*"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `Dataset` class is VIP's main entry point to process data. It contains the data cube with the associated parallactic angles and a PSF, but also information about injected companions and the FWHM.\n",
-    "A `Dataset` object has many methods for dataset-related operations (e.g. recentering, subsampling, injecting fake companions) which can be directly applied to them. `Dataset` supports both 3D (ADI) and 4D (ADI+mSDI) data.\n",
-    "\n",
-    "The following tutorial gives an overview of the new *object oriented* way of using VIP."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Table of Contents**\n",
-    "\n",
-    "* [9.1. Create a Dataset object](#9.1.-Create-a-Dataset-object)\n",
-    "    - [9.1.1 From FITS files](#9.1.1-From-FITS-files)\n",
-    "    - [9.1.2 Storing/loading a Dataset](#9.1.2-Storing/loading-a-Dataset)\n",
-    "    \n",
-    "* [9.2. Operations on a Dataset](#9.2.-Operations-on-a-Dataset)\n",
-    "    - [9.2.1 Displaying](#9.2.1-Displaying)\n",
-    "    - [9.2.2 Access and change attributes](#9.2.2-Access-and-change-attributes)\n",
-    "    - [9.2.3 Modifying the object using methods](#9.2.3-Modifying-the-object-using-methods)\n",
-    "    - [9.2.4 Injecting companions](#9.2.4-Injecting-companions)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "VIP version:  1.2.2\n"
-     ]
-    }
-   ],
-   "source": [
-    "from matplotlib import pyplot as plt\n",
-    "import vip_hci as vip\n",
-    "vvip = vip.__version__\n",
-    "print(\"VIP version: \", vvip)\n",
-    "from packaging import version\n",
-    "\n",
-    "if version.parse(vvip) < version.parse(\"1.0.0\"):\n",
-    "    msg = \"Please upgrade your version of VIP\"\n",
-    "    msg+= \"It should be 1.0.0 or above to run this notebook.\"\n",
-    "    raise ValueError(msg)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 9.1. Create a Dataset object\n",
-    "\n",
-    "### 9.1.1. From FITS files\n",
-    "\n",
-    "The `VIP_extras` repository contains a folder with example datasets:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "MCMC_results\r\n",
-      "MCMC_results_plc_ch20\r\n",
-      "MCMC_results_plc_ch29\r\n",
-      "MCMC_results_plc_ch38\r\n",
-      "MCMC_results_plc_top8ch\r\n",
-      "betapic_hci_dataset.npz\r\n",
-      "naco_betapic.npz\r\n",
-      "naco_betapic_cube.fits\r\n",
-      "naco_betapic_cube_cen.fits\r\n",
-      "naco_betapic_pa.fits\r\n",
-      "naco_betapic_psf.fits\r\n",
-      "sinfoni_HD179218_cube.fits\r\n",
-      "sinfoni_HD179218_lbda.fits\r\n",
-      "speckle_residuals_results\r\n",
-      "sphere_ifs_HIP39826_SED_model.fits\r\n",
-      "sphere_ifs_HIP39826_airmass.fits\r\n",
-      "sphere_ifs_HIP39826_cube.fits\r\n",
-      "sphere_ifs_HIP39826_cube_bad.fits\r\n",
-      "sphere_ifs_HIP39826_pa.fits\r\n",
-      "sphere_ifs_HIP39826_psf.fits\r\n",
-      "sphere_ifs_HIP39826_wl.fits\r\n",
-      "sphere_ifs_PDS70_cen.fits\r\n",
-      "sphere_ifs_PDS70_psf.fits\r\n",
-      "sphere_ifs_PDS70_wl.fits\r\n",
-      "sphere_ifs_YJ_APLC_CoroTransmission.fits\r\n",
-      "sphere_v471tau_cube.fits\r\n",
-      "sphere_v471tau_pa.fits\r\n",
-      "sphere_v471tau_psf.fits\r\n",
-      "sphere_v471tau_wl.fits\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "!ls ../datasets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To create a `Dataset` object, we can directly pass the paths to the FITS files:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Cube array shape: (61, 101, 101)\n",
-      "Angles array shape: (61,)\n",
-      "PSF array shape: (39, 39)\n"
-     ]
-    }
-   ],
-   "source": [
-    "betapic = vip.Dataset(cube=\"../datasets/naco_betapic_cube.fits\",\n",
-    "                      angles=\"../datasets/naco_betapic_pa.fits\",\n",
-    "                      psf=\"../datasets/naco_betapic_psf.fits\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or, equivalently, use numpy arrays in memory:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fits HDU-0 data successfully loaded. Data shape: (61, 101, 101)\n",
-      "Fits HDU-0 data successfully loaded. Data shape: (61,)\n",
-      "Fits HDU-0 data successfully loaded. Data shape: (39, 39)\n",
-      "Cube array shape: (61, 101, 101)\n",
-      "Angles array shape: (61,)\n",
-      "PSF array shape: (39, 39)\n"
-     ]
-    }
-   ],
-   "source": [
-    "cube = vip.fits.open_fits(\"../datasets/naco_betapic_cube.fits\")\n",
-    "angles = vip.fits.open_fits(\"../datasets/naco_betapic_pa.fits\")\n",
-    "psf = vip.fits.open_fits(\"../datasets/naco_betapic_psf.fits\")\n",
-    "\n",
-    "betapic = vip.Dataset(cube=cube, angles=angles, psf=psf)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 9.1.2. Storing/loading a Dataset\n",
-    "\n",
-    "A `Dataset` object, with all the information associated to it, can be stored as one single file. That can be especially useful for reproducing results later, or for sharing a dataset as one compact entity. Internally, VIP uses numpy's compressed `npz` format for that, so the data in the file could also be opened on machines without VIP installed.\n",
-    "\n",
-    "The `Dataset` can be stored to disk using it's `.save()` method, which takes the filename as a parameter:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "betapic.save(\"../datasets/betapic_hci_dataset\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `.npz` extension is automatically appended:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "MCMC_results\r\n",
-      "MCMC_results_plc_ch20\r\n",
-      "MCMC_results_plc_ch29\r\n",
-      "MCMC_results_plc_ch38\r\n",
-      "MCMC_results_plc_top8ch\r\n",
-      "betapic_hci_dataset.npz\r\n",
-      "naco_betapic.npz\r\n",
-      "naco_betapic_cube.fits\r\n",
-      "naco_betapic_cube_cen.fits\r\n",
-      "naco_betapic_pa.fits\r\n",
-      "naco_betapic_psf.fits\r\n",
-      "sinfoni_HD179218_cube.fits\r\n",
-      "sinfoni_HD179218_lbda.fits\r\n",
-      "speckle_residuals_results\r\n",
-      "sphere_ifs_HIP39826_SED_model.fits\r\n",
-      "sphere_ifs_HIP39826_airmass.fits\r\n",
-      "sphere_ifs_HIP39826_cube.fits\r\n",
-      "sphere_ifs_HIP39826_cube_bad.fits\r\n",
-      "sphere_ifs_HIP39826_pa.fits\r\n",
-      "sphere_ifs_HIP39826_psf.fits\r\n",
-      "sphere_ifs_HIP39826_wl.fits\r\n",
-      "sphere_ifs_PDS70_cen.fits\r\n",
-      "sphere_ifs_PDS70_psf.fits\r\n",
-      "sphere_ifs_PDS70_wl.fits\r\n",
-      "sphere_ifs_YJ_APLC_CoroTransmission.fits\r\n",
-      "sphere_v471tau_cube.fits\r\n",
-      "sphere_v471tau_pa.fits\r\n",
-      "sphere_v471tau_psf.fits\r\n",
-      "sphere_v471tau_wl.fits\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "!ls ../datasets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The file we just stored can be loaded again using the `Dataset.load()`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "betapic_from_file = vip.Dataset.load(\"../datasets/betapic_hci_dataset\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now `betapic_from_file` is exactly the same Dataset object as `betapic`."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 9.2. Operations on a Dataset\n",
-    "\n",
-    "The complete list of methods can be found in the [VIP documentation](https://vip.readthedocs.io/en/latest/vip_hci.html#module-vip_hci.hci_dataset). The following should give a short overview."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 9.2.1. Displaying\n",
-    "\n",
-    "Displaying the data is easy. Note than in Jupyter, you can usually double-click an image to zoom in."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "\n",
-       "(function(root) {\n",
-       "  function now() {\n",
-       "    return new Date();\n",
-       "  }\n",
-       "\n",
-       "  var force = true;\n",
-       "\n",
-       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
-       "    root._bokeh_onload_callbacks = [];\n",
-       "    root._bokeh_is_loading = undefined;\n",
-       "  }\n",
-       "\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
-       "    root._bokeh_timeout = Date.now() + 5000;\n",
-       "    root._bokeh_failed_load = false;\n",
-       "  }\n",
-       "\n",
-       "  function run_callbacks() {\n",
-       "    try {\n",
-       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
-       "        if (callback != null)\n",
-       "          callback();\n",
-       "      });\n",
-       "    } finally {\n",
-       "      delete root._bokeh_onload_callbacks\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
-       "  }\n",
-       "\n",
-       "  function load_libs(css_urls, js_urls, js_modules, callback) {\n",
-       "    if (css_urls == null) css_urls = [];\n",
-       "    if (js_urls == null) js_urls = [];\n",
-       "    if (js_modules == null) js_modules = [];\n",
-       "\n",
-       "    root._bokeh_onload_callbacks.push(callback);\n",
-       "    if (root._bokeh_is_loading > 0) {\n",
-       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (js_urls.length === 0 && js_modules.length === 0) {\n",
-       "      run_callbacks();\n",
-       "      return null;\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "\n",
-       "    function on_load() {\n",
-       "      root._bokeh_is_loading--;\n",
-       "      if (root._bokeh_is_loading === 0) {\n",
-       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
-       "        run_callbacks()\n",
-       "      }\n",
-       "    }\n",
-       "\n",
-       "    function on_error() {\n",
-       "      console.error(\"failed to load \" + url);\n",
-       "    }\n",
-       "\n",
-       "    for (var i = 0; i < css_urls.length; i++) {\n",
-       "      var url = css_urls[i];\n",
-       "      const element = document.createElement(\"link\");\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.rel = \"stylesheet\";\n",
-       "      element.type = \"text/css\";\n",
-       "      element.href = url;\n",
-       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
-       "      document.body.appendChild(element);\n",
-       "    }\n",
-       "\n",
-       "    var skip = [];\n",
-       "    if (window.requirejs) {\n",
-       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
-       "      \n",
-       "      root._bokeh_is_loading = css_urls.length + 0;\n",
-       "    } else {\n",
-       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n",
-       "    }\n",
-       "    for (var i = 0; i < js_urls.length; i++) {\n",
-       "      var url = js_urls[i];\n",
-       "      if (skip.indexOf(url) >= 0) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    for (var i = 0; i < js_modules.length; i++) {\n",
-       "      var url = js_modules[i];\n",
-       "      if (skip.indexOf(url) >= 0) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      element.type = \"module\";\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    if (!js_urls.length && !js_modules.length) {\n",
-       "      on_load()\n",
-       "    }\n",
-       "  };\n",
-       "\n",
-       "  function inject_raw_css(css) {\n",
-       "    const element = document.createElement(\"style\");\n",
-       "    element.appendChild(document.createTextNode(css));\n",
-       "    document.body.appendChild(element);\n",
-       "  }\n",
-       "\n",
-       "  var js_urls = [];\n",
-       "  var js_modules = [];\n",
-       "  var css_urls = [];\n",
-       "  var inline_js = [\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\".bk.alert {\\n    padding: 0.75rem 1.25rem;\\n    border: 1px solid transparent;\\n    border-radius: 0.25rem;\\n    /* Don't set margin because that will not render correctly! */\\n    /* margin-bottom: 1rem; */\\n    margin-top: 15px;\\n    margin-bottom: 15px;\\n}\\n.bk.alert a {\\n    color: rgb(11, 46, 19); /* #002752; */\\n    font-weight: 700;\\n    text-decoration: rgb(11, 46, 19);\\n    text-decoration-color: rgb(11, 46, 19);\\n    text-decoration-line: none;\\n    text-decoration-style: solid;\\n    text-decoration-thickness: auto;\\n  }\\n.bk.alert a:hover {\\n    color: rgb(11, 46, 19);\\n    font-weight: 700;\\n    text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n    color: #004085;\\n    background-color: #cce5ff;\\n    border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n    border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n    color: #383d41;\\n    background-color: #e2e3e5;\\n    border-color: #d6d8db;\\n  }\\n.bk.alert-secondary hr {\\n    border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n    color: #155724;\\n    background-color: #d4edda;\\n    border-color: #c3e6cb;\\n  }\\n\\n.bk.alert-success hr {\\n    border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n    color: #0c5460;\\n    background-color: #d1ecf1;\\n    border-color: #bee5eb;\\n  }\\n.bk.alert-info hr {\\n    border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n    color: #856404;\\n    background-color: #fff3cd;\\n    border-color: #ffeeba;\\n  }\\n\\n.bk.alert-warning hr {\\n    border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n    color: #721c24;\\n    background-color: #f8d7da;\\n    border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n    border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n    color: #818182;\\n    background-color: #fefefe;\\n    border-color: #fdfdfe;\\n  }\\n.bk.alert-light hr {\\n    border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n    color: #1b1e21;\\n    background-color: #d6d8d9;\\n    border-color: #c6c8ca;\\n  }\\n.bk.alert-dark hr {\\n    border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n    color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n    color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n    color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n    color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n    color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n    color: #491217;\\n}\\n\\n.bk.alert-light a {\\n    color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n    color: #040505;\\n}\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\".bk.card {\\n  border: 1px solid rgba(0,0,0,.125);\\n  border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n  border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0.25rem;\\n  display: inline-flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.accordion-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0;\\n  display: flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.card-button {\\n  background-color: transparent;\\n  margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n  position: relative !important;\\n}\\n.bk.card-title {\\n  align-items: center;\\n  font-size: 1.4em;\\n  font-weight: bold;\\n  overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n  padding-right: 1.5em !important;\\n  overflow-wrap: break-word;\\n}\\n\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\".bk.panel-widget-box {\\n  min-height: 20px;\\n  background-color: #f5f5f5;\\n  border: 1px solid #e3e3e3;\\n  border-radius: 4px;\\n  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n  box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n  overflow-x: hidden;\\n  overflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n  appearance: none;\\n  -moz-appearance: none;\\n  -webkit-appearance: none;\\n  border: none;\\n  height: 20px;\\n  background-color: whiteSmoke;\\n  border-radius: 3px;\\n  box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n  color: royalblue;\\n  position: relative;\\n  margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n  background-color: whiteSmoke;\\n  border-radius: 3px;\\n  box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n  position: relative;\\n  background-size: 35px 20px, 100% 100%, 100% 100%;\\n  border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n  background-size: 35px 20px, 100% 100%, 100% 100%;\\n  border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n  border-radius:3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n  border-radius: 3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n  content:\\\" \\\";\\n  position:absolute;\\n  height: 20px;\\n  top:0;\\n  left:0;\\n  right:0;\\n  bottom:0;\\n  border-radius: 3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n  overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n  content: \\\"\\\";\\n  border-radius: 50%;\\n  -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n  width: 100%;\\n  height: 100%;\\n  left: 0;\\n  top: 0;\\n  position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n  background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n  background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n  animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n  0% { -webkit-transform: rotate(0deg); }\\n  100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n  0% { transform: rotate(0deg); }\\n  100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  background-color: #fff;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n  background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n  background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n  background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n  background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n  background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n  background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n  background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n  background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n  border: 0;\\n  border-radius: 0;\\n  min-height: 0;\\n  padding-left: 0;\\n  padding-right: 0;\\n  font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n  display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n  top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n  bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n  white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n  border: 1px solid #ccc;\\n}\\n\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\".bk.pn-loading:before {\\n  position: absolute;\\n  height: 100%;\\n  width: 100%;\\n  content: '';\\n  z-index: 1000;\\n  background-color: rgb(255,255,255,0.50);\\n  border-color: lightgray;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  background-size: auto 50%;\\n  border-width: 1px;\\n  cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n  cursor: progress;\\n}\\n\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      inject_raw_css(\"\\n    .bk.pn-loading.arcs:before {\\n      background-image: url(\\\"data:image/svg+xml;base64,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\\\")\\n    }\\n    \");\n",
-       "    },\n",
-       "    function(Bokeh) {\n",
-       "      /* BEGIN bokeh.min.js */\n",
-       "      /*!\n",
-       "       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n",
-       "       * All rights reserved.\n",
-       "       * \n",
-       "       * Redistribution and use in source and binary forms, with or without modification,\n",
-       "       * are permitted provided that the following conditions are met:\n",
-       "       * \n",
-       "       * Redistributions of source code must retain the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer.\n",
-       "       * \n",
-       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer in the documentation\n",
-       "       * and/or other materials provided with the distribution.\n",
-       "       * \n",
-       "       * Neither the name of Anaconda nor the names of any contributors\n",
-       "       * may be used to endorse or promote products derived from this software\n",
-       "       * without specific prior written permission.\n",
-       "       * \n",
-       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
-       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
-       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
-       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
-       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
-       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
-       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
-       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
-       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
-       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
-       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
-       "       */\n",
-       "      (function(root, factory) {\n",
-       "        const bokeh = factory();\n",
-       "        bokeh.__bokeh__ = true;\n",
-       "        if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n",
-       "          root.Bokeh = bokeh;\n",
-       "        }\n",
-       "        const Bokeh = root.Bokeh;\n",
-       "        Bokeh[bokeh.version] = bokeh;\n",
-       "      })(this, function() {\n",
-       "        let define;\n",
-       "        const parent_require = typeof require === \"function\" && require\n",
-       "        return (function(modules, entry, aliases, externals) {\n",
-       "        if (aliases === undefined) aliases = {};\n",
-       "        if (externals === undefined) externals = {};\n",
-       "\n",
-       "        const cache = {};\n",
-       "\n",
-       "        const normalize = function(name) {\n",
-       "          if (typeof name === \"number\")\n",
-       "            return name;\n",
-       "\n",
-       "          if (name === \"bokehjs\")\n",
-       "            return entry;\n",
-       "\n",
-       "          if (!externals[name]) {\n",
-       "            const prefix = \"@bokehjs/\"\n",
-       "            if (name.slice(0, prefix.length) === prefix)\n",
-       "              name = name.slice(prefix.length)\n",
-       "          }\n",
-       "\n",
-       "          const alias = aliases[name]\n",
-       "          if (alias != null)\n",
-       "            return alias;\n",
-       "\n",
-       "          const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
-       "          const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
-       "          if (index != null)\n",
-       "            return index;\n",
-       "\n",
-       "          return name;\n",
-       "        }\n",
-       "\n",
-       "        const require = function(name) {\n",
-       "          let mod = cache[name];\n",
-       "          if (!mod) {\n",
-       "            const id = normalize(name);\n",
-       "\n",
-       "            mod = cache[id];\n",
-       "            if (!mod) {\n",
-       "              if (!modules[id]) {\n",
-       "                if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
-       "                  try {\n",
-       "                    mod = {exports: externals[id] ? parent_require(id) : {}};\n",
-       "                    cache[id] = cache[name] = mod;\n",
-       "                    return mod.exports;\n",
-       "                  } catch (e) {}\n",
-       "                }\n",
-       "\n",
-       "                const err = new Error(\"Cannot find module '\" + name + \"'\");\n",
-       "                err.code = 'MODULE_NOT_FOUND';\n",
-       "                throw err;\n",
-       "              }\n",
-       "\n",
-       "              mod = {exports: {}};\n",
-       "              cache[id] = cache[name] = mod;\n",
-       "\n",
-       "              function __esModule() {\n",
-       "                Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n",
-       "              }\n",
-       "\n",
-       "              function __esExport(name, value) {\n",
-       "                Object.defineProperty(mod.exports, name, {\n",
-       "                  enumerable: true, get: function () { return value; }\n",
-       "                });\n",
-       "              }\n",
-       "\n",
-       "              modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n",
-       "            } else {\n",
-       "              cache[name] = mod;\n",
-       "            }\n",
-       "          }\n",
-       "\n",
-       "          return mod.exports;\n",
-       "        }\n",
-       "        require.resolve = function(name) {\n",
-       "          return \"\"\n",
-       "        }\n",
-       "\n",
-       "        const main = require(entry);\n",
-       "        main.require = require;\n",
-       "\n",
-       "        if (typeof Proxy !== \"undefined\") {\n",
-       "          // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
-       "          main.loader = new Proxy({}, {\n",
-       "            get: function(_obj, module) {\n",
-       "              return require(module);\n",
-       "            }\n",
-       "          });\n",
-       "        }\n",
-       "\n",
-       "        main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
-       "          if (plugin_aliases === undefined) plugin_aliases = {};\n",
-       "          if (plugin_externals === undefined) plugin_externals = {};\n",
-       "\n",
-       "          for (let name in plugin_modules) {\n",
-       "            modules[name] = plugin_modules[name];\n",
-       "          }\n",
-       "\n",
-       "          for (let name in plugin_aliases) {\n",
-       "            aliases[name] = plugin_aliases[name];\n",
-       "          }\n",
-       "\n",
-       "          for (let name in plugin_externals) {\n",
-       "            externals[name] = plugin_externals[name];\n",
-       "          }\n",
-       "\n",
-       "          const plugin = require(plugin_entry);\n",
-       "\n",
-       "          for (let name in plugin) {\n",
-       "            main[name] = plugin[name];\n",
-       "          }\n",
-       "\n",
-       "          return plugin;\n",
-       "        }\n",
-       "\n",
-       "        return main;\n",
-       "      })\n",
-       "      ([\n",
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-       "      function _(e,t,s,o,n){o();const i=e(1),r=e(7),l=e(3),a=e(19),_=e(251),c=e(14),d=e(30),h=e(15),f=e(17),u=e(31),m=e(29),g=e(9),v=e(13),p=(0,i.__importStar)(e(77)),w=e(26),b=e(8),y=e(309),k=e(75),M=e(53),j=e(396),S=e(35);class z{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new S.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=z,z.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class E{constructor(e){var t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new r.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new z(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof y.LayoutDOM))}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(a.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new _.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e,t=null){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new _.LODEnd),null!=this._interactive_finalize&&this._interactive_finalize()),this._interactive_plot=null,this._interactive_timestamp=null,this._interactive_finalize=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){a.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(a.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new S.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof S.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new S.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let a=t.get(e);null==a&&(a=E._instantiate_object(e,r,l,s),null!=i.subtype&&a.set_subtype(i.subtype)),n.set(a.id,a)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),a=E._resolve_refs(r,t,s,o);l.setv(a,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),_=(0,g.intersection)(n,i),c=[];for(const e of r)a.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of _){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),a=new Map,_=[];for(const e of s.roots.root_ids)a.set(e,l.get(e)),_.push(e);if(r.sort(),_.sort(),(0,g.difference)(r,_).length>0||(0,g.difference)(_,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){a.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?a.logger.debug(o):(a.logger.warn(\"JS/Python version mismatch\"),a.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,_=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});for(const e of _){const t=d.get(e);null!=t&&h.add_root(t)}return h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw a.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,a=E._resolve_refs(e.new,r,l,t);n.setv({[i]:a},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n",
-       "      function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of(0,i.isArray)(e)?e:(0,d.values)(e))if(r=t,(0,i.isObject)(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class _{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)}register(e){const o=e.__qualified__;null==this.get(o,null)?this._known_models.set(o,e):console.warn(`Model '${o}' was already registered with this resolver`)}}s.ModelResolver=_,_.__name__=\"ModelResolver\";const g=(0,l.__importStar)(e(38));(0,s.register_models)(g);const u=(0,l.__importStar)(e(392));(0,s.register_models)(u)},\n",
-       "      function _(n,t,r,e,i){e();\n",
-       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
-       "      //     Underscore may be freely distributed under the MIT license.\n",
-       "      const o=n(9),u=Object.prototype.toString;function c(n){return!0===n||!1===n||\"[object Boolean]\"===u.call(n)}function f(n){return\"[object Number]\"===u.call(n)}function l(n){return\"[object String]\"===u.call(n)}function s(n){return\"symbol\"==typeof n}function a(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}function b(n){return a(n)&&void 0!==n[Symbol.iterator]}r.isBoolean=c,r.isNumber=f,r.isInteger=function(n){return f(n)&&Number.isInteger(n)},r.isString=l,r.isSymbol=s,r.isPrimitive=function(n){return null===n||c(n)||f(n)||l(n)||s(n)},r.isFunction=function(n){return\"[object Function]\"===u.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return(0,o.every)(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=a,r.isPlainObject=function(n){return a(n)&&(null==n.constructor||n.constructor===Object)},r.isIterable=b,r.isArrayable=function(n){return b(n)&&\"length\"in n}},\n",
-       "      function _(n,t,e,r,o){r();\n",
-       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
-       "      //     Underscore may be freely distributed under the MIT license.\n",
-       "      const i=n(10),u=n(11),c=n(12);o(\"map\",c.map),o(\"reduce\",c.reduce),o(\"min\",c.min),o(\"min_by\",c.min_by),o(\"max\",c.max),o(\"max_by\",c.max_by),o(\"sum\",c.sum),o(\"cumsum\",c.cumsum),o(\"every\",c.every),o(\"some\",c.some),o(\"find\",c.find),o(\"find_last\",c.find_last),o(\"find_index\",c.find_index),o(\"find_last_index\",c.find_last_index),o(\"sorted_index\",c.sorted_index),o(\"is_empty\",c.is_empty);const f=Array.prototype.slice;function s(n){return f.call(n)}function a(n){return[].concat(...n)}function l(n,t){return-1!==n.indexOf(t)}function m(n,t,e=1){(0,u.assert)(e>0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:o,abs:i}=Math,c=n<=t?e:-e,f=r(o(i(t-n)/e),0),s=new Array(f);for(let t=0;t<f;t++,n+=c)s[t]=n;return s}e.head=function(n){return n[0]},e.tail=function(n){return n[n.length-1]},e.last=function(n){return n[n.length-1]},e.copy=s,e.concat=a,e.includes=l,e.contains=l,e.nth=function(n,t){return n[t>=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=(0,c.min)(n.map((n=>n.length))),e=n.length,r=new Array(t);for(let o=0;o<t;o++){r[o]=new Array(e);for(let t=0;t<e;t++)r[o][t]=n[t][o]}return r},e.unzip=function(n){const t=n.length,e=(0,c.min)(n.map((n=>n.length))),r=Array(e);for(let n=0;n<e;n++)r[n]=new Array(t);for(let o=0;o<t;o++)for(let t=0;t<e;t++)r[t][o]=n[o][t];return r},e.range=m,e.linspace=function(n,t,e=100){const r=(t-n)/(e-1),o=new Array(e);for(let t=0;t<e;t++)o[t]=n+r*t;return o},e.transpose=function(n){const t=n.length,e=n[0].length,r=[];for(let o=0;o<e;o++){r[o]=[];for(let e=0;e<t;e++)r[o][e]=n[e][o]}return r},e.argmin=function(n){return(0,c.min_by)(m(n.length),(t=>n[t]))},e.argmax=function(n){return(0,c.max_by)(m(n.length),(t=>n[t]))},e.sort_by=function(n,t){const e=n.map(((n,e)=>({value:n,index:e,key:t(n)})));return e.sort(((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(e<r||void 0===r)return-1}return n.index-t.index})),e.map((n=>n.value))},e.uniq=function(n){const t=new Set;for(const e of n)t.add(e);return[...t]},e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);l(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){const t=new Set;for(const e of n)for(const n of e)t.add(n);return[...t]},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!l(e,r)){for(const n of t)if(!l(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=a(t);return n.filter((n=>!l(e,n)))},e.remove_at=function(n,t){const e=s(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e<n.length;)t(n[e])?n.splice(e,1):e++},e.shuffle=function(n){const t=n.length,e=new Array(t);for(let r=0;r<t;r++){const t=(0,i.randomIn)(0,r);t!==r&&(e[r]=e[t]),e[t]=n[r]}return e},e.pairwise=function(n,t){const e=n.length,r=new Array(e-1);for(let o=0;o<e-1;o++)r[o]=t(n[o],n[o+1]);return r},e.reversed=function(n){const t=n.length,e=new Array(t);for(let r=0;r<t;r++)e[t-r-1]=n[r];return e},e.repeat=function(n,t){const e=new Array(t);for(let r=0;r<t;r++)e[r]=n;return e}},\n",
-       "      function _(n,r,t,e,o){e();const{PI:u}=Math;function a(n){if(0==n)return 0;for(;n<=0;)n+=2*u;for(;n>2*u;)n-=2*u;return n}function c(n,r){return a(n-r)}function f(){return Math.random()}function i(n){switch(n){case\"deg\":return u/180;case\"rad\":return 1;case\"grad\":return u/200;case\"turn\":return 2*u}}t.angle_norm=a,t.angle_dist=c,t.angle_between=function(n,r,t,e=!1){const o=c(r,t);if(0==o)return!1;if(o==2*u)return!0;const f=a(n),i=c(r,f)<=o&&c(f,t)<=o;return e?!i:i},t.random=f,t.randomIn=function(n,r){return null==r&&(r=n,n=0),n+Math.floor(Math.random()*(r-n+1))},t.atan2=function(n,r){return Math.atan2(r[1]-n[1],r[0]-n[0])},t.radians=function(n){return n*(u/180)},t.degrees=function(n){return n/(u/180)},t.resolve_angle=function(n,r){return-i(r)*n},t.to_radians_coeff=i,t.rnorm=function(n,r){let t,e;for(;t=f(),e=f(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*t*t*Math.log(t)>=e*e););let o=e/t;return o=n+r*o,o},t.clamp=function(n,r,t){return n<r?r:n>t?t:n},t.log=function(n,r=Math.E){return Math.log(n)/Math.log(r)}},\n",
-       "      function _(r,n,e,o,s){o();class t extends Error{}e.AssertionError=t,t.__name__=\"AssertionError\",e.assert=function(r,n){if(!(!0===r||!1!==r&&r()))throw new t(null!=n?n:\"Assertion failed\")},e.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
-       "      function _(n,t,e,r,o){r();const i=n(10);function l(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const i=o-e+r.length,l=new n.constructor(i);let u=0;for(;u<t;u++)l[u]=n[u];for(const n of r)l[u++]=n;for(let r=t+e;r<o;r++)l[u++]=n[r];return l}function u(n,t){return l(n,t,n.length-t)}function c(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r}function f(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,i;for(void 0===e?(o=n[0],i=1):(o=e,i=0);i<r;i++)o=t(o,n[i],i,n);return o}function s(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}function h(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}function a(n,t,e,r,o){const i=(o-e)/(r-t);let l=i*(n-t)+e;return isFinite(l)||(l=i*(n-r)+o,isFinite(l)||e!=o||(l=e)),l}function g(n,t){if(n<t[0])return-1;if(n>t[t.length-1])return t.length;let e=0,r=t.length-1;for(;r-e!=1;){const o=e+Math.floor((r-e)/2);n>=t[o]?e=o:r=o}return e}e.is_empty=function(n){return 0==n.length},e.copy=function(n){return Array.isArray(n)?n.slice():new n.constructor(n)},e.splice=l,e.head=u,e.insert=function(n,t,e){return l(n,e,0,t)},e.append=function(n,t){return l(n,n.length,0,t)},e.prepend=function(n,t){return l(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.subselect=function(n,t){const e=t.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=n[t[o]];return r},e.mul=function(n,t,e){const r=n.length,o=null!=e?e:new n.constructor(r);for(let e=0;e<r;e++)o[e]=n[e]*t;return o},e.map=c,e.inplace_map=function(n,t,e){const r=n.length,o=null!=e?e:n;for(let e=0;e<r;e++)o[e]=t(n[e],e)},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let o=0;for(let i=0;i<e;i++){const e=n[i];t(e,i,n)&&(r[o++]=e)}return u(r,o)},e.reduce=f,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],!isNaN(t)&&t<e&&(e=t);return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],!isNaN(t)&&t>e&&(e=t);return e},e.minmax=function(n){let t,e=1/0,r=-1/0;for(let o=0,i=n.length;o<i;o++)t=n[o],isNaN(t)||(t<e&&(e=t),t>r&&(r=t));return[e,r]},e.minmax2=function(n,t){let e,r,o=1/0,i=-1/0,l=1/0,u=-1/0;const c=Math.min(n.length,t.length);for(let f=0;f<c;f++)e=n[f],r=t[f],isNaN(e)||isNaN(r)||(e<o&&(o=e),e>i&&(i=e),r<l&&(l=r),r>u&&(u=r));return[o,i,l,u]},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,i=n.length;o<i;o++){const i=n[o],l=t(i);l<r&&(e=i,r=l)}return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,i=n.length;o<i;o++){const i=n[o],l=t(i);l>r&&(e=i,r=l)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return f(n,((n,e,r)=>t[r]=n+e),0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=s(1),e.find_last_index=s(-1),e.find=function(n,t){const r=(0,e.find_index)(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=(0,e.find_last_index)(n,t);return-1==r?void 0:n[r]},e.sorted_index=h,e.bin_counts=function(n,t){const e=t.length-1,r=Array(e).fill(0);for(let o=0;o<n.length;o++){const l=h(t,n[o]);r[(0,i.clamp)(l-1,0,e-1)]+=1}return r},e.interpolate=function(n,t,e){const r=n.length,o=new Array(r);for(let i=0;i<r;i++){const r=n[i];if(isNaN(r)){o[i]=r;continue}const l=g(r,t);if(-1==l)o[i]=e[0];else if(l==t.length)o[i]=e[e.length-1];else if(l==t.length-1||t[l]==r)o[i]=e[l];else{const n=t[l],u=e[l],c=t[l+1],f=e[l+1];o[i]=a(r,n,u,c,f)}}return o},e.left_edge_index=g,e.norm=function(n,t,e){const r=e-t;return c(n,(n=>(n-t)/r))}},\n",
-       "      function _(t,e,n,c,o){c();const s=t(9),{hasOwnProperty:r}=Object.prototype;function i(t){return Object.keys(t).length}function u(t){return 0==i(t)}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(t){return Object.assign({},t)},n.merge=function(t,e){const n=Object.create(Object.prototype),c=(0,s.concat)([Object.keys(t),Object.keys(e)]);for(const o of c){const c=r.call(t,o)?t[o]:[],i=r.call(e,o)?e[o]:[];n[o]=(0,s.union)(c,i)}return n},n.size=i,n.is_empty=u,n.isEmpty=u,n.to_object=function(t){const e={};for(const[n,c]of t)e[n]=c;return e}},\n",
-       "      function _(e,t,s,n,r){n();const i=e(1);var o;const c=e(15),a=e(17),_=(0,i.__importStar)(e(18)),h=(0,i.__importStar)(e(21)),u=e(34),l=e(13),f=e(8),p=e(26),d=e(30),g=e(35),y=e(26),v=e(36),m=e(37),b=(0,i.__importStar)(e(21));class w extends((0,c.Signalable)()){constructor(e={}){var t,s;super(),this._subtype=void 0,this.document=null,this.destroyed=new c.Signal0(this,\"destroyed\"),this.change=new c.Signal0(this,\"change\"),this.transformchange=new c.Signal0(this,\"transformchange\"),this.exprchange=new c.Signal0(this,\"exprchange\"),this.properties={},this._watchers=new WeakMap,this._pending=!1,this._changing=!1;const n=e instanceof Map?e.get.bind(e):t=>e[t];this.id=null!==(t=n(\"id\"))&&void 0!==t?t:(0,u.uniqueId)();for(const[e,{type:t,default_value:s,options:r}]of(0,l.entries)(this._props)){let i;t instanceof _.PropertyAlias?Object.defineProperty(this.properties,e,{get:()=>this.properties[t.attr],configurable:!1,enumerable:!1}):(i=t instanceof h.Kind?new _.PrimitiveProperty(this,e,t,s,n(e),r):new t(this,e,h.Any,s,n(e),r),this.properties[e]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static get[Symbol.toStringTag](){return this.__name__}static _fix_default(e,t){if(void 0===e||(0,f.isFunction)(e))return e;if((0,f.isPrimitive)(e))return()=>e;{const t=new m.Cloner;return()=>t.clone(e)}}static define(e){for(const[t,s]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,n,r={}]=s,i={type:e,default_value:this._fix_default(n,t),options:r},o=Object.assign({},this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,n]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){const[e,r,i={}]=n;t[s]=[e,r,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e,t){const s={};for(const[n,r]of(0,l.entries)(t))s[e+n]=r;return s}const s={},n=[];for(const r of(0,f.isArray)(e)?e:[e])if((0,f.isArray)(r)){const[e,i]=r;(0,l.extend)(s,t(e,i)),n.push([e,i])}else{const e=r;(0,l.extend)(s,e),n.push([\"\",e])}this.define(s),this.prototype._mixins=[...this.prototype._mixins,...n]}static override(e){for(const[t,s]of(0,l.entries)(e)){const e=this._fix_default(s,t),n=this.prototype._props[t];if(null==n)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const r=Object.assign({},this.prototype._props);r[t]=Object.assign(Object.assign({},n),{default_value:e}),this.prototype._props=r}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}[m.clone](e){const t=new Map;for(const s of this)s.dirty&&t.set(s.attr,e.clone(s.get_value()));return new this.constructor(t)}[y.equals](e,t){for(const s of this){const n=e.property(s.attr);if(!t.eq(s.get_value(),n.get_value()))return!1}return!0}[v.pretty](e){const t=e.token,s=[];for(const n of this)if(n.dirty){const r=n.get_value();s.push(`${n.attr}${t(\":\")} ${e.to_string(r)}`)}return`${this.constructor.__qualified__}${t(\"(\")}${t(\"{\")}${s.join(`${t(\",\")} `)}${t(\"}\")}${t(\")\")}`}[d.serialize](e){const t=this.ref();e.add_ref(this,t);const s=this.struct();for(const t of this)t.syncable&&(e.include_defaults||t.dirty)&&(s.attributes[t.attr]=e.to_serializable(t.get_value()));return e.add_def(this,s),t}finalize(){for(const e of this){if(!(e instanceof _.VectorSpec||e instanceof _.ScalarSpec))continue;const t=e.get_value();if(null!=t){const{transform:e,expr:s}=t;null!=e&&this.connect(e.change,(()=>this.transformchange.emit())),null!=s&&this.connect(s.change,(()=>this.exprchange.emit()))}}this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){c.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return(new m.Cloner).clone(this)}changed_for(e){const t=this._watchers.get(e);return this._watchers.set(e,!1),null==t||t}_setv(e,t){const s=t.check_eq,n=[],r=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&(0,p.is_equal)(t.get_value(),r)||(t.set_value(r),n.push(t));n.length>0&&(this._watchers=new WeakMap,this._pending=!0);for(const e of n)e.change.emit();if(!r){if(!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){const s=(0,l.entries)(e);if(0==s.length)return;if(!0===t.silent){this._watchers=new WeakMap;for(const[e,t]of s)this.properties[e].set_value(t);return}const n=new Map,r=new Map;for(const[e,t]of s){const s=this.properties[e];n.set(s,t),r.set(s,s.get_value())}this._setv(n,t);const{document:i}=this;if(null!=i){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){i._invalidate_all_models();break}this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){yield*(0,l.values)(this.properties)}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _json_record_references(e,t,s,n){const{recursive:r}=n;if((0,a.is_ref)(t)){const n=e.get_model_by_id(t.id);null==n||s.has(n)||w._value_record_references(n,s,{recursive:r})}else if((0,f.isArray)(t))for(const n of t)w._json_record_references(e,n,s,{recursive:r});else if((0,f.isPlainObject)(t))for(const n of(0,l.values)(t))w._json_record_references(e,n,s,{recursive:r})}static _value_record_references(e,t,s){const{recursive:n}=s;if(e instanceof w){if(!t.has(e)&&(t.add(e),n))for(const s of e.syncable_properties()){const e=s.get_value();w._value_record_references(e,t,{recursive:n})}}else if((0,f.isArray)(e))for(const s of e)w._value_record_references(s,t,{recursive:n});else if((0,f.isPlainObject)(e))for(const s of(0,l.values)(e))w._value_record_references(s,t,{recursive:n})}references(){const e=new Set;return w._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;w._value_record_references(t,s,{recursive:!1});const n=new Set;w._value_record_references(e,n,{recursive:!1});for(const e of s)if(!n.has(e))return!0;for(const e of n)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){if(!this.is_syncable)return;const{document:s}=this;if(null==s)return;const{setter_id:n}=t,r=[];for(const[t,i,o]of e)t.syncable&&r.push(new g.ModelChangedEvent(s,this,t.attr,i,o,n));if(0!=r.length){let e;1==r.length?[e]=r:e=new g.DocumentEventBatch(s,r,n),s._trigger_on_change(e)}}on_change(e,t){for(const s of(0,f.isArray)(e)?e:[e])this.connect(s.change,t)}}s.HasProps=w,(o=w).prototype._props={},o.prototype._mixins=[]},\n",
-       "      function _(n,t,e,l,s){l();const i=n(16),o=n(9);class c{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){u.has(this.sender)||u.set(this.sender,[]);const e=u.get(this.sender);if(null!=g(e,this,n,t))return!1;const l=null!=t?t:n;a.has(l)||a.set(l,[]);const s=a.get(l),i={signal:this,slot:n,context:t};return e.push(i),s.push(i),!0}disconnect(n,t=null){const e=u.get(this.sender);if(null==e||0===e.length)return!1;const l=g(e,this,n,t);if(null==l)return!1;const s=null!=t?t:n,i=a.get(s);return l.signal=null,d(e),d(i),!0}emit(n){var t;const e=null!==(t=u.get(this.sender))&&void 0!==t?t:[];for(const{signal:t,slot:l,context:s}of e)t===this&&l.call(s,n,this.sender)}}e.Signal=c,c.__name__=\"Signal\";class r extends c{emit(){super.emit(void 0)}}e.Signal0=r,r.__name__=\"Signal0\",function(n){function t(n,t){const e=u.get(n);if(null==e||0===e.length)return;const l=a.get(t);if(null!=l&&0!==l.length){for(const t of l){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}d(e),d(l)}}function e(n){var t;const e=u.get(n);if(null!=e&&0!==e.length){for(const n of e){if(null==n.signal)return;const e=null!==(t=n.context)&&void 0!==t?t:n.slot;n.signal=null,d(a.get(e))}d(e)}}function l(n,t,e){const l=a.get(n);if(null!=l&&0!==l.length){for(const n of l){if(null==n.signal)return;if(null!=t&&n.slot!=t)continue;const l=n.signal.sender;null!=e&&e.has(l)||(n.signal=null,d(u.get(l)))}d(l)}}function s(n){const t=u.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;d(t)}const e=a.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;d(e)}}n.disconnect_between=t,n.disconnect_sender=e,n.disconnect_receiver=l,n.disconnect_all=s,n.disconnectBetween=t,n.disconnectSender=e,n.disconnectReceiver=l,n.disconnectAll=s}(c||(e.Signal=c={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const u=new WeakMap,a=new WeakMap;function g(n,t,e,l){return(0,o.find)(n,(n=>n.signal===t&&n.slot===e&&n.context===l))}const f=new Set;function d(n){0===f.size&&(async()=>{await(0,i.defer)(),function(){for(const n of f)(0,o.remove_by)(n,(n=>null==n.signal));f.clear()}()})(),f.add(n)}},\n",
-       "      function _(e,n,t,s,o){s();const r=new MessageChannel,a=new Map;r.port1.onmessage=e=>{const n=e.data,t=a.get(n);if(null!=t)try{t()}finally{a.delete(n)}};let i=1;t.defer=function(){return new Promise((e=>{const n=i++;a.set(n,e),r.port2.postMessage(n)}))},t.wait=function(e){return new Promise((n=>setTimeout(n,e)))}},\n",
-       "      function _(n,t,i,e,c){e();const r=n(8),s=n(13);i.is_ref=function(n){if((0,r.isPlainObject)(n)){const t=(0,s.keys)(n);return 1==t.length&&\"id\"==t[0]}return!1}},\n",
-       "      function _(e,t,n,r,a){r(),n.YCoordinateSeqSeqSeqSpec=n.XCoordinateSeqSeqSeqSpec=n.YCoordinateSeqSpec=n.XCoordinateSeqSpec=n.YCoordinateSpec=n.XCoordinateSpec=n.CoordinateSeqSeqSeqSpec=n.CoordinateSeqSpec=n.CoordinateSpec=n.BaseCoordinateSpec=n.NumberUnitsSpec=n.UnitsSpec=n.DataSpec=n.VectorSpec=n.TextBaselineScalar=n.TextAlignScalar=n.FontStyleScalar=n.FontSizeScalar=n.FontScalar=n.LineDashScalar=n.LineCapScalar=n.LineJoinScalar=n.ArrayScalar=n.NullStringScalar=n.StringScalar=n.NumberScalar=n.ColorScalar=n.AnyScalar=n.ScalarSpec=n.VerticalAlign=n.UpdateMode=n.TooltipAttachment=n.TickLabelOrientation=n.TextureRepetition=n.TextBaseline=n.TextAlign=n.TapBehavior=n.StepMode=n.StartEnd=n.SpatialUnits=n.Sort=n.SizingMode=n.Side=n.RoundingFunction=n.ResetPolicy=n.RenderMode=n.RenderLevel=n.RadiusDimension=n.PointPolicy=n.Place=void 0,n.TextBaselineSpec=n.TextAlignSpec=n.FontStyleSpec=n.FontSizeSpec=n.FontSpec=n.LineDashSpec=n.LineCapSpec=n.LineJoinSpec=n.MarkerSpec=n.ArraySpec=n.NullStringSpec=n.StringSpec=n.AnySpec=n.NDArraySpec=n.ColorSpec=n.ScreenSizeSpec=n.NumberSpec=n.IntSpec=n.BooleanSpec=n.NullDistanceSpec=n.DistanceSpec=n.AngleSpec=void 0;const i=e(1),s=e(15),l=e(19),o=(0,i.__importStar)(e(20)),c=e(24),_=e(9),u=e(12),d=e(10),S=e(22),p=e(27),m=e(8),h=e(28),v=e(29),y=e(33);function x(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function g(e){return(0,m.isPlainObject)(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}a(\"Uniform\",y.Uniform),a(\"UniformScalar\",y.UniformScalar),a(\"UniformVector\",y.UniformVector),n.isSpec=g;class f{constructor(e,t,n,r,a,i={}){var l;let o;if(this.obj=e,this.attr=t,this.kind=n,this.default_value=r,this._dirty=!1,this.change=new s.Signal0(this.obj,\"change\"),this.internal=null!==(l=i.internal)&&void 0!==l&&l,this.convert=i.convert,this.on_update=i.on_update,void 0!==a)o=a,this._dirty=!0;else{const t=this._default_override();if(void 0!==t)o=t;else{if(void 0===r)return void(this.spec={value:null});o=r(e)}}this._update(o)}get is_value(){return void 0!==this.spec.value}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){var t;if(this.validate(e),null!=this.convert){const t=this.convert(e);void 0!==t&&(e=t)}this.spec={value:e},null===(t=this.on_update)||void 0===t||t.call(this,e,this.obj)}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${x(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj}.${this.attr} given invalid value: ${x(e)}`)}valid(e){return this.kind.valid(e)}_value(e=!0){if(!this.is_value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=f,f.__name__=\"Property\";class A{constructor(e){this.attr=e}}n.PropertyAlias=A,A.__name__=\"PropertyAlias\",n.Alias=function(e){return new A(e)};class C extends f{}n.PrimitiveProperty=C,C.__name__=\"PrimitiveProperty\";class T extends f{}n.Any=T,T.__name__=\"Any\";class L extends f{valid(e){return(0,m.isArray)(e)||(0,m.isTypedArray)(e)}}n.Array=L,L.__name__=\"Array\";class w extends f{valid(e){return(0,m.isBoolean)(e)}}n.Boolean=w,w.__name__=\"Boolean\";class P extends f{valid(e){return(0,S.is_Color)(e)}}n.Color=P,P.__name__=\"Color\";class b extends f{}n.Instance=b,b.__name__=\"Instance\";class q extends f{valid(e){return(0,m.isNumber)(e)}}n.Number=q,q.__name__=\"Number\";class N extends q{valid(e){return(0,m.isNumber)(e)&&(0|e)==e}}n.Int=N,N.__name__=\"Int\";class z extends q{}n.Angle=z,z.__name__=\"Angle\";class B extends q{valid(e){return(0,m.isNumber)(e)&&0<=e&&e<=1}}n.Percent=B,B.__name__=\"Percent\";class F extends f{valid(e){return(0,m.isString)(e)}}n.String=F,F.__name__=\"String\";class D extends f{valid(e){return null===e||(0,m.isString)(e)}}n.NullString=D,D.__name__=\"NullString\";class U extends F{}n.FontSize=U,U.__name__=\"FontSize\";class M extends F{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.Font=M,M.__name__=\"Font\";class R extends f{valid(e){return(0,m.isString)(e)&&(0,_.includes)(this.enum_values,e)}}function k(e){return class extends R{get enum_values(){return[...e]}}}n.EnumProperty=R,R.__name__=\"EnumProperty\",n.Enum=k;class O extends R{get enum_values(){return[...o.Direction]}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return t}}n.Direction=O,O.__name__=\"Direction\",n.Anchor=k(o.Anchor),n.AngleUnits=k(o.AngleUnits),n.BoxOrigin=k(o.BoxOrigin),n.ButtonType=k(o.ButtonType),n.CalendarPosition=k(o.CalendarPosition),n.Dimension=k(o.Dimension),n.Dimensions=k(o.Dimensions),n.Distribution=k(o.Distribution),n.FontStyle=k(o.FontStyle),n.HatchPatternType=k(o.HatchPatternType),n.HTTPMethod=k(o.HTTPMethod),n.HexTileOrientation=k(o.HexTileOrientation),n.HoverMode=k(o.HoverMode),n.LatLon=k(o.LatLon),n.LegendClickPolicy=k(o.LegendClickPolicy),n.LegendLocation=k(o.LegendLocation),n.LineCap=k(o.LineCap),n.LineJoin=k(o.LineJoin),n.LinePolicy=k(o.LinePolicy),n.Location=k(o.Location),n.Logo=k(o.Logo),n.MarkerType=k(o.MarkerType),n.MutedPolicy=k(o.MutedPolicy),n.Orientation=k(o.Orientation),n.OutputBackend=k(o.OutputBackend),n.PaddingUnits=k(o.PaddingUnits),n.Place=k(o.Place),n.PointPolicy=k(o.PointPolicy),n.RadiusDimension=k(o.RadiusDimension),n.RenderLevel=k(o.RenderLevel),n.RenderMode=k(o.RenderMode),n.ResetPolicy=k(o.ResetPolicy),n.RoundingFunction=k(o.RoundingFunction),n.Side=k(o.Side),n.SizingMode=k(o.SizingMode),n.Sort=k(o.Sort),n.SpatialUnits=k(o.SpatialUnits),n.StartEnd=k(o.StartEnd),n.StepMode=k(o.StepMode),n.TapBehavior=k(o.TapBehavior),n.TextAlign=k(o.TextAlign),n.TextBaseline=k(o.TextBaseline),n.TextureRepetition=k(o.TextureRepetition),n.TickLabelOrientation=k(o.TickLabelOrientation),n.TooltipAttachment=k(o.TooltipAttachment),n.UpdateMode=k(o.UpdateMode),n.VerticalAlign=k(o.VerticalAlign);class E extends f{get_value(){const{value:e,expr:t,transform:n}=this.spec;return null!=t||null!=n?this.spec:e}_update(e){g(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}materialize(e){return e}scalar(e,t){return new y.UniformScalar(e,t)}uniform(e){var t;const{expr:n,value:r,transform:a}=this.spec,i=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=n){let t=n.compute(e);return null!=a&&(t=a.compute(t)),t=this.materialize(t),this.scalar(t,i)}{let e=r;return null!=a&&(e=a.compute(e)),e=this.materialize(e),this.scalar(e,i)}}}n.ScalarSpec=E,E.__name__=\"ScalarSpec\";class V extends E{}n.AnyScalar=V,V.__name__=\"AnyScalar\";class $ extends E{}n.ColorScalar=$,$.__name__=\"ColorScalar\";class I extends E{}n.NumberScalar=I,I.__name__=\"NumberScalar\";class J extends E{}n.StringScalar=J,J.__name__=\"StringScalar\";class X extends E{}n.NullStringScalar=X,X.__name__=\"NullStringScalar\";class Y extends E{}n.ArrayScalar=Y,Y.__name__=\"ArrayScalar\";class H extends E{}n.LineJoinScalar=H,H.__name__=\"LineJoinScalar\";class j extends E{}n.LineCapScalar=j,j.__name__=\"LineCapScalar\";class G extends E{}n.LineDashScalar=G,G.__name__=\"LineDashScalar\";class K extends E{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.FontScalar=K,K.__name__=\"FontScalar\";class Q extends E{}n.FontSizeScalar=Q,Q.__name__=\"FontSizeScalar\";class W extends E{}n.FontStyleScalar=W,W.__name__=\"FontStyleScalar\";class Z extends E{}n.TextAlignScalar=Z,Z.__name__=\"TextAlignScalar\";class ee extends E{}n.TextBaselineScalar=ee,ee.__name__=\"TextBaselineScalar\";class te extends f{get_value(){return null===this.spec.value?null:this.spec}_update(e){g(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}materialize(e){return e}v_materialize(e){return e}scalar(e,t){return new y.UniformScalar(e,t)}vector(e){return new y.UniformVector(e)}uniform(e){var t;const{field:n,expr:r,value:a,transform:i}=this.spec,s=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=n){let t=e.get_column(n);return null!=t?(null!=i&&(t=i.v_compute(t)),t=this.v_materialize(t),this.vector(t)):(l.logger.warn(`attempted to retrieve property array for nonexistent field '${n}'`),this.scalar(null,s))}if(null!=r){let t=r.v_compute(e);return null!=i&&(t=i.v_compute(t)),t=this.v_materialize(t),this.vector(t)}{let e=a;return null!=i&&(e=i.compute(e)),e=this.materialize(e),this.scalar(e,s)}}array(e){var t;let n;const r=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=this.spec.field){const t=e.get_column(this.spec.field);if(null!=t)n=this.normalize(t);else{l.logger.warn(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`);const e=new Float64Array(r);e.fill(NaN),n=e}}else if(null!=this.spec.expr)n=this.normalize(this.spec.expr.v_compute(e));else{const e=this._value(!1);if((0,m.isNumber)(e)){const t=new Float64Array(r);t.fill(e),n=t}else n=(0,_.repeat)(e,r)}return null!=this.spec.transform&&(n=this.spec.transform.v_compute(n)),n}}n.VectorSpec=te,te.__name__=\"VectorSpec\";class ne extends te{}n.DataSpec=ne,ne.__name__=\"DataSpec\";class re extends te{_update(e){super._update(e);const{units:t}=this.spec;if(null!=t&&!(0,_.includes)(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; got: ${t}`)}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:this.default_units}set units(e){e!=this.default_units?this.spec.units=e:delete this.spec.units}}n.UnitsSpec=re,re.__name__=\"UnitsSpec\";class ae extends re{array(e){return new Float64Array(super.array(e))}}n.NumberUnitsSpec=ae,ae.__name__=\"NumberUnitsSpec\";class ie extends ne{}n.BaseCoordinateSpec=ie,ie.__name__=\"BaseCoordinateSpec\";class se extends ie{}n.CoordinateSpec=se,se.__name__=\"CoordinateSpec\";class le extends ie{}n.CoordinateSeqSpec=le,le.__name__=\"CoordinateSeqSpec\";class oe extends ie{}n.CoordinateSeqSeqSeqSpec=oe,oe.__name__=\"CoordinateSeqSeqSeqSpec\";class ce extends se{constructor(){super(...arguments),this.dimension=\"x\"}}n.XCoordinateSpec=ce,ce.__name__=\"XCoordinateSpec\";class _e extends se{constructor(){super(...arguments),this.dimension=\"y\"}}n.YCoordinateSpec=_e,_e.__name__=\"YCoordinateSpec\";class ue extends le{constructor(){super(...arguments),this.dimension=\"x\"}}n.XCoordinateSeqSpec=ue,ue.__name__=\"XCoordinateSeqSpec\";class de extends le{constructor(){super(...arguments),this.dimension=\"y\"}}n.YCoordinateSeqSpec=de,de.__name__=\"YCoordinateSeqSpec\";class Se extends oe{constructor(){super(...arguments),this.dimension=\"x\"}}n.XCoordinateSeqSeqSeqSpec=Se,Se.__name__=\"XCoordinateSeqSeqSeqSpec\";class pe extends oe{constructor(){super(...arguments),this.dimension=\"y\"}}n.YCoordinateSeqSeqSeqSpec=pe,pe.__name__=\"YCoordinateSeqSeqSeqSpec\";class me extends ae{get default_units(){return\"rad\"}get valid_units(){return[...o.AngleUnits]}materialize(e){return e*-(0,d.to_radians_coeff)(this.units)}v_materialize(e){const t=-(0,d.to_radians_coeff)(this.units),n=new Float32Array(e.length);return(0,u.mul)(e,t,n),n}array(e){throw new Error(\"not supported\")}}n.AngleSpec=me,me.__name__=\"AngleSpec\";class he extends ae{get default_units(){return\"data\"}get valid_units(){return[...o.SpatialUnits]}}n.DistanceSpec=he,he.__name__=\"DistanceSpec\";class ve extends he{materialize(e){return null!=e?e:NaN}}n.NullDistanceSpec=ve,ve.__name__=\"NullDistanceSpec\";class ye extends ne{v_materialize(e){return new Uint8Array(e)}array(e){return new Uint8Array(super.array(e))}}n.BooleanSpec=ye,ye.__name__=\"BooleanSpec\";class xe extends ne{v_materialize(e){return(0,m.isTypedArray)(e)?e:new Int32Array(e)}array(e){return new Int32Array(super.array(e))}}n.IntSpec=xe,xe.__name__=\"IntSpec\";class ge extends ne{v_materialize(e){return(0,m.isTypedArray)(e)?e:new Float64Array(e)}array(e){return new Float64Array(super.array(e))}}n.NumberSpec=ge,ge.__name__=\"NumberSpec\";class fe extends ge{valid(e){return(0,m.isNumber)(e)&&e>=0}}n.ScreenSizeSpec=fe,fe.__name__=\"ScreenSizeSpec\";class Ae extends ne{materialize(e){return(0,S.encode_rgba)((0,S.color2rgba)(e))}v_materialize(e){if(!(0,v.is_NDArray)(e)){const t=e.length,n=new c.RGBAArray(4*t);let r=0;for(const t of e){const[e,a,i,s]=(0,S.color2rgba)(t);n[r++]=e,n[r++]=a,n[r++]=i,n[r++]=s}return new c.ColorArray(n.buffer)}if(\"uint32\"==e.dtype&&1==e.dimension)return(0,p.to_big_endian)(e);if(\"uint8\"==e.dtype&&1==e.dimension){const[t]=e.shape,n=new c.RGBAArray(4*t);let r=0;for(const t of e)n[r++]=t,n[r++]=t,n[r++]=t,n[r++]=255;return new c.ColorArray(n.buffer)}if(\"uint8\"==e.dtype&&2==e.dimension){const[t,n]=e.shape;if(4==n)return new c.ColorArray(e.buffer);if(3==n){const r=new c.RGBAArray(4*t);for(let a=0,i=0;a<n*t;)r[i++]=e[a++],r[i++]=e[a++],r[i++]=e[a++],r[i++]=255;return new c.ColorArray(r.buffer)}}else if((\"float32\"==e.dtype||\"float64\"==e.dtype)&&2==e.dimension){const[t,n]=e.shape;if(3==n||4==n){const r=new c.RGBAArray(4*t);for(let a=0,i=0;a<n*t;)r[i++]=255*e[a++],r[i++]=255*e[a++],r[i++]=255*e[a++],r[i++]=255*(3==n?1:e[a++]);return new c.ColorArray(r.buffer)}}throw new Error(\"invalid color array\")}vector(e){return new y.ColorUniformVector(e)}}n.ColorSpec=Ae,Ae.__name__=\"ColorSpec\";class Ce extends ne{}n.NDArraySpec=Ce,Ce.__name__=\"NDArraySpec\";class Te extends ne{}n.AnySpec=Te,Te.__name__=\"AnySpec\";class Le extends ne{}n.StringSpec=Le,Le.__name__=\"StringSpec\";class we extends ne{}n.NullStringSpec=we,we.__name__=\"NullStringSpec\";class Pe extends ne{}n.ArraySpec=Pe,Pe.__name__=\"ArraySpec\";class be extends ne{}n.MarkerSpec=be,be.__name__=\"MarkerSpec\";class qe extends ne{}n.LineJoinSpec=qe,qe.__name__=\"LineJoinSpec\";class Ne extends ne{}n.LineCapSpec=Ne,Ne.__name__=\"LineCapSpec\";class ze extends ne{}n.LineDashSpec=ze,ze.__name__=\"LineDashSpec\";class Be extends ne{_default_override(){return h.settings.dev?\"Bokeh\":void 0}}n.FontSpec=Be,Be.__name__=\"FontSpec\";class Fe extends ne{}n.FontSizeSpec=Fe,Fe.__name__=\"FontSizeSpec\";class De extends ne{}n.FontStyleSpec=De,De.__name__=\"FontStyleSpec\";class Ue extends ne{}n.TextAlignSpec=Ue,Ue.__name__=\"TextAlignSpec\";class Me extends ne{}n.TextBaselineSpec=Me,Me.__name__=\"TextBaselineSpec\"},\n",
-       "      function _(e,l,o,n,t){n();const s=e(8),g=e(13),r={};class i{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=i,i.__name__=\"LogLevel\";class v{constructor(e,l=v.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(v.log_levels)}static get(e,l=v.INFO){if(e.length>0){let o=r[e];return null==o&&(r[e]=o=new v(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof i)this._log_level=e;else{if(!(0,s.isString)(e)||null==v.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=v.log_levels[e]}const l=`[${this._name}]`;for(const[e,o]of(0,g.entries)(v.log_levels))o.level<this._log_level.level||this._log_level.level===v.OFF.level?this[e]=function(){}:this[e]=_(e,l)}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function _(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function c(e){const l=o.logger.level;return(0,s.isString)(e)&&null==v.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(`[bokeh] valid log levels are: ${v.levels.join(\", \")}`)):(console.log(`[bokeh] setting log level to: '${(0,s.isString)(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=v,v.__name__=\"Logger\",v.TRACE=new i(\"trace\",0),v.DEBUG=new i(\"debug\",1),v.INFO=new i(\"info\",2),v.WARN=new i(\"warn\",6),v.ERROR=new i(\"error\",7),v.FATAL=new i(\"fatal\",8),v.OFF=new i(\"off\",9),v.log_levels={trace:v.TRACE,debug:v.DEBUG,info:v.INFO,warn:v.WARN,error:v.ERROR,fatal:v.FATAL,off:v.OFF},o.logger=v.get(\"bokeh\"),o.set_log_level=c,o.with_log_level=function(e,l){const o=c(e);try{l()}finally{c(o)}}},\n",
-       "      function _(e,n,t,o,i){o(),t.VerticalAlign=void 0;const a=e(21);t.Align=(0,a.Enum)(\"start\",\"center\",\"end\"),t.Anchor=(0,a.Enum)(\"top_left\",\"top_center\",\"top_right\",\"center_left\",\"center_center\",\"center_right\",\"bottom_left\",\"bottom_center\",\"bottom_right\",\"top\",\"left\",\"center\",\"right\",\"bottom\"),t.AngleUnits=(0,a.Enum)(\"deg\",\"rad\",\"grad\",\"turn\"),t.BoxOrigin=(0,a.Enum)(\"corner\",\"center\"),t.ButtonType=(0,a.Enum)(\"default\",\"primary\",\"success\",\"warning\",\"danger\",\"light\"),t.CalendarPosition=(0,a.Enum)(\"auto\",\"above\",\"below\"),t.Dimension=(0,a.Enum)(\"width\",\"height\"),t.Dimensions=(0,a.Enum)(\"width\",\"height\",\"both\"),t.Direction=(0,a.Enum)(\"clock\",\"anticlock\"),t.Distribution=(0,a.Enum)(\"uniform\",\"normal\"),t.FontStyle=(0,a.Enum)(\"normal\",\"italic\",\"bold\",\"bold italic\"),t.HatchPatternType=(0,a.Enum)(\"blank\",\"dot\",\"ring\",\"horizontal_line\",\"vertical_line\",\"cross\",\"horizontal_dash\",\"vertical_dash\",\"spiral\",\"right_diagonal_line\",\"left_diagonal_line\",\"diagonal_cross\",\"right_diagonal_dash\",\"left_diagonal_dash\",\"horizontal_wave\",\"vertical_wave\",\"criss_cross\",\" \",\".\",\"o\",\"-\",\"|\",\"+\",'\"',\":\",\"@\",\"/\",\"\\\\\",\"x\",\",\",\"`\",\"v\",\">\",\"*\"),t.HTTPMethod=(0,a.Enum)(\"POST\",\"GET\"),t.HexTileOrientation=(0,a.Enum)(\"pointytop\",\"flattop\"),t.HoverMode=(0,a.Enum)(\"mouse\",\"hline\",\"vline\"),t.LatLon=(0,a.Enum)(\"lat\",\"lon\"),t.LegendClickPolicy=(0,a.Enum)(\"none\",\"hide\",\"mute\"),t.LegendLocation=t.Anchor,t.LineCap=(0,a.Enum)(\"butt\",\"round\",\"square\"),t.LineJoin=(0,a.Enum)(\"miter\",\"round\",\"bevel\"),t.LineDash=(0,a.Enum)(\"solid\",\"dashed\",\"dotted\",\"dotdash\",\"dashdot\"),t.LinePolicy=(0,a.Enum)(\"prev\",\"next\",\"nearest\",\"interp\",\"none\"),t.Location=(0,a.Enum)(\"above\",\"below\",\"left\",\"right\"),t.Logo=(0,a.Enum)(\"normal\",\"grey\"),t.MarkerType=(0,a.Enum)(\"asterisk\",\"circle\",\"circle_cross\",\"circle_dot\",\"circle_x\",\"circle_y\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"diamond_dot\",\"dot\",\"hex\",\"hex_dot\",\"inverted_triangle\",\"plus\",\"square\",\"square_cross\",\"square_dot\",\"square_pin\",\"square_x\",\"star\",\"star_dot\",\"triangle\",\"triangle_dot\",\"triangle_pin\",\"x\",\"y\"),t.MutedPolicy=(0,a.Enum)(\"show\",\"ignore\"),t.Orientation=(0,a.Enum)(\"vertical\",\"horizontal\"),t.OutputBackend=(0,a.Enum)(\"canvas\",\"svg\",\"webgl\"),t.PaddingUnits=(0,a.Enum)(\"percent\",\"absolute\"),t.Place=(0,a.Enum)(\"above\",\"below\",\"left\",\"right\",\"center\"),t.PointPolicy=(0,a.Enum)(\"snap_to_data\",\"follow_mouse\",\"none\"),t.RadiusDimension=(0,a.Enum)(\"x\",\"y\",\"max\",\"min\"),t.RenderLevel=(0,a.Enum)(\"image\",\"underlay\",\"glyph\",\"guide\",\"annotation\",\"overlay\"),t.RenderMode=(0,a.Enum)(\"canvas\",\"css\"),t.ResetPolicy=(0,a.Enum)(\"standard\",\"event_only\"),t.RoundingFunction=(0,a.Enum)(\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"),t.SelectionMode=(0,a.Enum)(\"replace\",\"append\",\"intersect\",\"subtract\"),t.Side=(0,a.Enum)(\"above\",\"below\",\"left\",\"right\"),t.SizingMode=(0,a.Enum)(\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"),t.Sort=(0,a.Enum)(\"ascending\",\"descending\"),t.SpatialUnits=(0,a.Enum)(\"screen\",\"data\"),t.StartEnd=(0,a.Enum)(\"start\",\"end\"),t.StepMode=(0,a.Enum)(\"after\",\"before\",\"center\"),t.TapBehavior=(0,a.Enum)(\"select\",\"inspect\"),t.TextAlign=(0,a.Enum)(\"left\",\"right\",\"center\"),t.TextBaseline=(0,a.Enum)(\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"),t.TextureRepetition=(0,a.Enum)(\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"),t.TickLabelOrientation=(0,a.Enum)(\"vertical\",\"horizontal\",\"parallel\",\"normal\"),t.TooltipAttachment=(0,a.Enum)(\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"),t.UpdateMode=(0,a.Enum)(\"replace\",\"append\"),t.VerticalAlign=(0,a.Enum)(\"top\",\"middle\",\"bottom\")},\n",
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-       "      function _(e,r,l,a,i){a();l.named_colors={aliceblue:4042850303,antiquewhite:4209760255,aqua:16777215,aquamarine:2147472639,azure:4043309055,beige:4126530815,bisque:4293182719,black:255,blanchedalmond:4293643775,blue:65535,blueviolet:2318131967,brown:2771004159,burlywood:3736635391,cadetblue:1604231423,chartreuse:2147418367,chocolate:3530104575,coral:4286533887,cornflowerblue:1687547391,cornsilk:4294499583,crimson:3692313855,cyan:16777215,darkblue:35839,darkcyan:9145343,darkgoldenrod:3095792639,darkgray:2846468607,darkgreen:6553855,darkgrey:2846468607,darkkhaki:3182914559,darkmagenta:2332068863,darkolivegreen:1433087999,darkorange:4287365375,darkorchid:2570243327,darkred:2332033279,darksalmon:3918953215,darkseagreen:2411499519,darkslateblue:1211993087,darkslategray:793726975,darkslategrey:793726975,darkturquoise:13554175,darkviolet:2483082239,deeppink:4279538687,deepskyblue:12582911,dimgray:1768516095,dimgrey:1768516095,dodgerblue:512819199,firebrick:2988581631,floralwhite:4294635775,forestgreen:579543807,fuchsia:4278255615,gainsboro:3705462015,ghostwhite:4177068031,gold:4292280575,goldenrod:3668254975,gray:2155905279,green:8388863,greenyellow:2919182335,grey:2155905279,honeydew:4043305215,hotpink:4285117695,indianred:3445382399,indigo:1258324735,ivory:4294963455,khaki:4041641215,lavender:3873897215,lavenderblush:4293981695,lawngreen:2096890111,lemonchiffon:4294626815,lightblue:2916673279,lightcoral:4034953471,lightcyan:3774873599,lightgoldenrodyellow:4210742015,lightgray:3553874943,lightgreen:2431553791,lightgrey:3553874943,lightpink:4290167295,lightsalmon:4288707327,lightseagreen:548580095,lightskyblue:2278488831,lightslategray:2005441023,lightslategrey:2005441023,lightsteelblue:2965692159,lightyellow:4294959359,lime:16711935,limegreen:852308735,linen:4210091775,magenta:4278255615,maroon:2147483903,mediumaquamarine:1724754687,mediumblue:52735,mediumorchid:3126187007,mediumpurple:2473647103,mediumseagreen:1018393087,mediumslateblue:2070474495,mediumspringgreen:16423679,mediumturquoise:1221709055,mediumvioletred:3340076543,midnightblue:421097727,mintcream:4127193855,mistyrose:4293190143,moccasin:4293178879,navajowhite:4292783615,navy:33023,oldlace:4260751103,olive:2155872511,olivedrab:1804477439,orange:4289003775,orangered:4282712319,orchid:3664828159,palegoldenrod:4008225535,palegreen:2566625535,paleturquoise:2951671551,palevioletred:3681588223,papayawhip:4293907967,peachpuff:4292524543,peru:3448061951,pink:4290825215,plum:3718307327,powderblue:2967529215,purple:2147516671,rebeccapurple:1714657791,red:4278190335,rosybrown:3163525119,royalblue:1097458175,saddlebrown:2336560127,salmon:4202722047,sandybrown:4104413439,seagreen:780883967,seashell:4294307583,sienna:2689740287,silver:3233857791,skyblue:2278484991,slateblue:1784335871,slategray:1887473919,slategrey:1887473919,snow:4294638335,springgreen:16744447,steelblue:1182971135,tan:3535047935,teal:8421631,thistle:3636451583,tomato:4284696575,turquoise:1088475391,violet:4001558271,wheat:4125012991,white:4294967295,whitesmoke:4126537215,yellow:4294902015,yellowgreen:2597139199},l.is_named_color=function(e){return e in l.named_colors}},\n",
-       "      function _(r,t,n,a,o){a(),n.GeneratorFunction=Object.getPrototypeOf((function*(){})).constructor,n.ColorArray=Uint32Array,n.RGBAArray=Uint8ClampedArray,n.infer_type=function(r,t){return r instanceof Float64Array||r instanceof Array||t instanceof Float64Array||t instanceof Array?Float64Array:Float32Array},n.ScreenArray=Float32Array,n.to_screen=function(r){return r instanceof Float32Array?r:Float32Array.from(r)},o(\"Indices\",r(25).BitSet)},\n",
-       "      function _(t,s,r,e,i){var n;e();const o=t(26),a=t(11);class _{constructor(t,s=0){this.size=t,this[n]=\"BitSet\",this._count=null,this._nwords=Math.ceil(t/32),0==s||1==s?(this._array=new Uint32Array(this._nwords),1==s&&this._array.fill(4294967295)):((0,a.assert)(s.length==this._nwords,\"Initializer size mismatch\"),this._array=s)}clone(){return new _(this.size,new Uint32Array(this._array))}[(n=Symbol.toStringTag,o.equals)](t,s){if(!s.eq(this.size,t.size))return!1;const{_nwords:r}=this,e=this.size%r,i=0==e?r:r-1;for(let s=0;s<i;s++)if(this._array[s]!=t._array[s])return!1;if(0==e)return!0;{const s=1<<e-1,r=s-1^s;return(this._array[i]&r)==(t._array[i]&r)}}static all_set(t){return new _(t,1)}static all_unset(t){return new _(t,0)}static from_indices(t,s){const r=new _(t);for(const t of s)r.set(t);return r}static from_booleans(t,s){const r=new _(t),e=Math.min(t,s.length);for(let t=0;t<e;t++)s[t]&&r.set(t);return r}_check_bounds(t){(0,a.assert)(0<=t&&t<this.size,`Out of bounds: 0 <= ${t} < ${this.size}`)}get(t){this._check_bounds(t);const s=t>>>5,r=31&t;return!!(this._array[s]>>r&1)}set(t,s=!0){this._check_bounds(t),this._count=null;const r=t>>>5,e=31&t;s?this._array[r]|=1<<e:this._array[r]&=~(1<<e)}unset(t){this.set(t,!1)}*[Symbol.iterator](){yield*this.ones()}get count(){let t=this._count;return null==t&&(this._count=t=this._get_count()),t}_get_count(){const{_array:t,_nwords:s,size:r}=this;let e=0;for(let i=0,n=0;n<s;n++){const s=t[n];if(0==s)i+=32;else for(let t=0;t<32&&i<r;t++,i++)s>>>t&1&&(e+=1)}return e}*ones(){const{_array:t,_nwords:s,size:r}=this;for(let e=0,i=0;i<s;i++){const s=t[i];if(0!=s)for(let t=0;t<32&&e<r;t++,e++)s>>>t&1&&(yield e);else e+=32}}*zeros(){const{_array:t,_nwords:s,size:r}=this;for(let e=0,i=0;i<s;i++){const s=t[i];if(4294967295!=s)for(let t=0;t<32&&e<r;t++,e++)s>>>t&1||(yield e);else e+=32}}_check_size(t){(0,a.assert)(this.size==t.size,\"Size mismatch\")}add(t){this._check_size(t);for(let s=0;s<this._nwords;s++)this._array[s]|=t._array[s]}intersect(t){this._check_size(t);for(let s=0;s<this._nwords;s++)this._array[s]&=t._array[s]}subtract(t){this._check_size(t);for(let s=0;s<this._nwords;s++){const r=this._array[s],e=t._array[s];this._array[s]=(r^e)&r}}union(t){this._check_size(t);const s=this.clone();for(let r=0;r<this._nwords;r++)s._array[r]|=t._array[r];return s}intersection(t){this._check_size(t);const s=this.clone();for(let r=0;r<this._nwords;r++)s._array[r]&=t._array[r];return s}difference(t){this._check_size(t);const s=this.clone();for(let r=0;r<this._nwords;r++){const e=this._array[r],i=t._array[r];s._array[r]=(e^i)&e}return s}select(t){(0,a.assert)(this.size<=t.length,\"Size mismatch\");const s=this.count,r=new t.constructor(s);let e=0;for(const s of this)r[e++]=t[s];return r}}r.BitSet=_,_.__name__=\"BitSet\"},\n",
-       "      function _(t,e,r,n,s){n();const o=t(8),{hasOwnProperty:c}=Object.prototype;function a(t){return(0,o.isObject)(t)&&void 0!==t[r.equals]}r.equals=Symbol(\"equals\"),r.wildcard=Symbol(\"wildcard\");const i=Object.prototype.toString;class u{constructor(){this.a_stack=[],this.b_stack=[]}eq(t,e){if(Object.is(t,e))return!0;if(t===r.wildcard||e===r.wildcard)return!0;if(null==t||null==e)return t===e;const n=i.call(t);if(n!=i.call(e))return!1;switch(n){case\"[object Number]\":return this.numbers(t,e);case\"[object RegExp]\":case\"[object String]\":return`${t}`==`${e}`;case\"[object Date]\":case\"[object Boolean]\":return+t==+e}const{a_stack:s,b_stack:o}=this;let c=s.length;for(;c--;)if(s[c]===t)return o[c]===e;s.push(t),o.push(e);const u=(()=>{if(a(t)&&a(e))return t[r.equals](e,this);switch(n){case\"[object Array]\":case\"[object Uint8Array]\":case\"[object Int8Array]\":case\"[object Uint16Array]\":case\"[object Int16Array]\":case\"[object Uint32Array]\":case\"[object Int32Array]\":case\"[object Float32Array]\":case\"[object Float64Array]\":return this.arrays(t,e);case\"[object Map]\":return this.maps(t,e);case\"[object Set]\":return this.sets(t,e);case\"[object Object]\":if(t.constructor==e.constructor&&(null==t.constructor||t.constructor===Object))return this.objects(t,e);case\"[object Function]\":if(t.constructor==e.constructor&&t.constructor===Function)return this.eq(`${t}`,`${e}`)}if(t instanceof Node)return this.nodes(t,e);throw Error(`can't compare objects of type ${n}`)})();return s.pop(),o.pop(),u}numbers(t,e){return Object.is(t,e)}arrays(t,e){const{length:r}=t;if(r!=e.length)return!1;for(let n=0;n<r;n++)if(!this.eq(t[n],e[n]))return!1;return!0}iterables(t,e){const r=t[Symbol.iterator](),n=e[Symbol.iterator]();for(;;){const t=r.next(),e=n.next();if(t.done&&e.done)return!0;if(t.done||e.done)return!1;if(!this.eq(t.value,e.value))return!1}}maps(t,e){if(t.size!=e.size)return!1;for(const[r,n]of t)if(!e.has(r)||!this.eq(n,e.get(r)))return!1;return!0}sets(t,e){if(t.size!=e.size)return!1;for(const r of t)if(!e.has(r))return!1;return!0}objects(t,e){const r=Object.keys(t);if(r.length!=Object.keys(e).length)return!1;for(const n of r)if(!c.call(e,n)||!this.eq(t[n],e[n]))return!1;return!0}nodes(t,e){return t.nodeType==e.nodeType&&(t.textContent==e.textContent&&!!this.iterables(t.childNodes,e.childNodes))}}r.Comparator=u,u.__name__=\"Comparator\";const{abs:l}=Math;class b extends u{constructor(t=1e-4){super(),this.tolerance=t}numbers(t,e){return super.numbers(t,e)||l(t-e)<this.tolerance}}function f(t,e){return(new u).eq(t,e)}r.SimilarComparator=b,b.__name__=\"SimilarComparator\",r.is_equal=f,r.is_similar=function(t,e,r){return new b(r).eq(t,e)},r.isEqual=f},\n",
-       "      function _(n,i,e,t,r){t(),e.is_windows=navigator.appVersion.includes(\"Windows\"),e.is_ie=(()=>{const n=navigator.userAgent;return n.includes(\"MSIE\")||n.includes(\"Trident\")||n.includes(\"Edge\")})(),e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=(()=>{const n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;let e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e})(),e.BYTE_ORDER=e.is_little_endian?\"little\":\"big\",e.to_big_endian=function(n){if(e.is_little_endian){const i=new Uint32Array(n.length),e=new DataView(i.buffer);let t=0;for(const i of n)e.setUint32(t,i),t+=4;return i}return n}},\n",
-       "      function _(e,t,r,i,s){i();class _{constructor(){this._dev=!1,this._wireframe=!1}set dev(e){this._dev=e}get dev(){return this._dev}set wireframe(e){this._wireframe=e}get wireframe(){return this._wireframe}}r.Settings=_,_.__name__=\"Settings\",r.settings=new _},\n",
-       "      function _(e,s,t,i,r){var a,n,l,h,u,o,p,c;i();const y=e(8),_=e(11),A=e(26),q=e(30),d=e(31),z=Symbol(\"__ndarray__\");class D extends Uint8Array{constructor(e,s){super(e),this[a]=!0,this.dtype=\"uint8\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>D.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>D.prototype[q.serialize].call(this,e))}[(a=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint8NDArray=D,D.__name__=\"Uint8NDArray\";class N extends Int8Array{constructor(e,s){super(e),this[n]=!0,this.dtype=\"int8\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>N.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>N.prototype[q.serialize].call(this,e))}[(n=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int8NDArray=N,N.__name__=\"Int8NDArray\";class f extends Uint16Array{constructor(e,s){super(e),this[l]=!0,this.dtype=\"uint16\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>f.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>f.prototype[q.serialize].call(this,e))}[(l=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint16NDArray=f,f.__name__=\"Uint16NDArray\";class m extends Int16Array{constructor(e,s){super(e),this[h]=!0,this.dtype=\"int16\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>m.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>m.prototype[q.serialize].call(this,e))}[(h=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int16NDArray=m,m.__name__=\"Int16NDArray\";class g extends Uint32Array{constructor(e,s){super(e),this[u]=!0,this.dtype=\"uint32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>g.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>g.prototype[q.serialize].call(this,e))}[(u=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint32NDArray=g,g.__name__=\"Uint32NDArray\";class I extends Int32Array{constructor(e,s){super(e),this[o]=!0,this.dtype=\"int32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>I.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>I.prototype[q.serialize].call(this,e))}[(o=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Int32NDArray=I,I.__name__=\"Int32NDArray\";class U extends Float32Array{constructor(e,s){super(e),this[p]=!0,this.dtype=\"float32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>U.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>U.prototype[q.serialize].call(this,e))}[(p=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Float32NDArray=U,U.__name__=\"Float32NDArray\";class w extends Float64Array{constructor(e,s){super(e),this[c]=!0,this.dtype=\"float64\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>w.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>w.prototype[q.serialize].call(this,e))}[(c=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}function x(e){return(0,y.isObject)(e)&&void 0!==e[z]}t.Float64NDArray=w,w.__name__=\"Float64NDArray\",t.is_NDArray=x,t.ndarray=function(e,s={}){let{dtype:t}=s;null==t&&(t=e instanceof ArrayBuffer||(0,y.isArray)(e)?\"float64\":(()=>{switch(!0){case e instanceof Uint8Array:return\"uint8\";case e instanceof Int8Array:return\"int8\";case e instanceof Uint16Array:return\"uint16\";case e instanceof Int16Array:return\"int16\";case e instanceof Uint32Array:return\"uint32\";case e instanceof Int32Array:return\"int32\";case e instanceof Float32Array:return\"float32\";case e instanceof Float64Array:return\"float64\";default:(0,_.unreachable)()}})());const{shape:i}=s;switch(t){case\"uint8\":return new D(e,i);case\"int8\":return new N(e,i);case\"uint16\":return new f(e,i);case\"int16\":return new m(e,i);case\"uint32\":return new g(e,i);case\"int32\":return new I(e,i);case\"float32\":return new U(e,i);case\"float64\":return new w(e,i)}}},\n",
-       "      function _(e,r,t,i,s){i();const n=e(11),a=e(13),l=e(8);t.serialize=Symbol(\"serialize\");class o extends Error{}t.SerializationError=o,o.__name__=\"SerializationError\";class f{constructor(e){var r;this._references=new Map,this._definitions=new Map,this._refmap=new Map,this.include_defaults=null===(r=null==e?void 0:e.include_defaults)||void 0===r||r}get_ref(e){return this._references.get(e)}add_ref(e,r){(0,n.assert)(!this._references.has(e)),this._references.set(e,r)}add_def(e,r){const t=this.get_ref(e);(0,n.assert)(null!=t),this._definitions.set(e,r),this._refmap.set(t,r)}get objects(){return new Set(this._references.keys())}get references(){return new Set(this._references.values())}get definitions(){return new Set(this._definitions.values())}resolve_ref(e){return this._refmap.get(e)}remove_ref(e){return this._references.delete(e)}remove_def(e){return this._definitions.delete(e)}to_serializable(e){const r=this.get_ref(e);if(null!=r)return r;if(function(e){return(0,l.isObject)(e)&&void 0!==e[t.serialize]}(e))return e[t.serialize](this);if((0,l.isArray)(e)||(0,l.isTypedArray)(e)){const r=e.length,t=new Array(r);for(let i=0;i<r;i++){const r=e[i];t[i]=this.to_serializable(r)}return t}if((0,l.isPlainObject)(e)){const r={};for(const[t,i]of(0,a.entries)(e))r[t]=this.to_serializable(i);return r}if(null===e||(0,l.isBoolean)(e)||(0,l.isNumber)(e)||(0,l.isString)(e))return e;throw new o(`${Object.prototype.toString.call(e)} is not serializable`)}}t.Serializer=f,f.__name__=\"Serializer\"},\n",
-       "      function _(_,e,r,n,f){n();const t=_(8),o=_(27),s=_(32);r.is_NDArray_ref=function(_){return(0,t.isPlainObject)(_)&&(\"__buffer__\"in _||\"__ndarray__\"in _)},r.decode_NDArray=function(_,e){const{shape:r,dtype:n,order:f}=_;let t;if(\"__buffer__\"in _){const r=e.get(_.__buffer__);if(null==r)throw new Error(`buffer for ${_.__buffer__} not found`);t=r}else t=(0,s.base64_to_buffer)(_.__ndarray__);return f!==o.BYTE_ORDER&&(0,s.swap)(t,n),{buffer:t,dtype:n,shape:r}},r.encode_NDArray=function(_,e){const r={order:o.BYTE_ORDER,dtype:_.dtype,shape:_.shape};if(null!=e){const n=`${e.size}`;return e.set(n,_.buffer),Object.assign({__buffer__:n},r)}{const e={toJSON:()=>(0,s.buffer_to_base64)(_.buffer)};return Object.assign({__ndarray__:e},r)}}},\n",
-       "      function _(t,n,e,r,o){r(),e.buffer_to_base64=function(t){const n=new Uint8Array(t),e=Array.from(n).map((t=>String.fromCharCode(t)));return btoa(e.join(\"\"))},e.base64_to_buffer=function(t){const n=atob(t),e=n.length,r=new Uint8Array(e);for(let t=0,o=e;t<o;t++)r[t]=n.charCodeAt(t);return r.buffer},e.swap=function(t,n){switch(n){case\"uint16\":case\"int16\":!function(t){const n=new Uint8Array(t);for(let t=0,e=n.length;t<e;t+=2){const e=n[t];n[t]=n[t+1],n[t+1]=e}}(t);break;case\"uint32\":case\"int32\":case\"float32\":!function(t){const n=new Uint8Array(t);for(let t=0,e=n.length;t<e;t+=4){let e=n[t];n[t]=n[t+3],n[t+3]=e,e=n[t+1],n[t+1]=n[t+2],n[t+2]=e}}(t);break;case\"float64\":!function(t){const n=new Uint8Array(t);for(let t=0,e=n.length;t<e;t+=8){let e=n[t];n[t]=n[t+7],n[t+7]=e,e=n[t+1],n[t+1]=n[t+6],n[t+6]=e,e=n[t+2],n[t+2]=n[t+5],n[t+5]=e,e=n[t+3],n[t+3]=n[t+4],n[t+4]=e}}(t)}}},\n",
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-       "      function _(e,t,s,n,o){n();const i=e(30);class r{constructor(e){this.document=e}}s.DocumentEvent=r,r.__name__=\"DocumentEvent\";class a extends r{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=a,a.__name__=\"DocumentEventBatch\";class d extends r{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class l extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}[i.serialize](e){const t=this.msg_data,s=e.to_serializable(t);return{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=l,l.__name__=\"MessageSentEvent\";class _ extends d{constructor(e,t,s,n,o,i,r){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=i,this.hint=r}[i.serialize](e){if(null!=this.hint)return e.to_serializable(this.hint);const t=this.new_,s=e.to_serializable(t);return this.model!=t&&e.remove_def(this.model),{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=_,_.__name__=\"ModelChangedEvent\";class c extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}[i.serialize](e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=c,c.__name__=\"ColumnsPatchedEvent\";class h extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}[i.serialize](e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=h,h.__name__=\"ColumnsStreamedEvent\";class m extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}[i.serialize](e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=m,m.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootAdded\",model:e.to_serializable(this.model)}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class v extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=v,v.__name__=\"RootRemovedEvent\"},\n",
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-       "      function _(e,o,n,a,t){a(),t(\"Annotation\",e(40).Annotation),t(\"Arrow\",e(68).Arrow),t(\"ArrowHead\",e(112).ArrowHead),t(\"OpenHead\",e(112).OpenHead),t(\"NormalHead\",e(112).NormalHead),t(\"TeeHead\",e(112).TeeHead),t(\"VeeHead\",e(112).VeeHead),t(\"Band\",e(114).Band),t(\"BoxAnnotation\",e(116).BoxAnnotation),t(\"ColorBar\",e(117).ColorBar),t(\"Label\",e(212).Label),t(\"LabelSet\",e(213).LabelSet),t(\"Legend\",e(214).Legend),t(\"LegendItem\",e(215).LegendItem),t(\"PolyAnnotation\",e(217).PolyAnnotation),t(\"Slope\",e(218).Slope),t(\"Span\",e(219).Span),t(\"TextAnnotation\",e(119).TextAnnotation),t(\"Title\",e(118).Title),t(\"ToolbarPanel\",e(220).ToolbarPanel),t(\"Tooltip\",e(241).Tooltip),t(\"Whisker\",e(243).Whisker)},\n",
-       "      function _(t,e,i,n,s){var o;n();const l=t(41);class r extends l.RendererView{get_size(){if(this.model.visible){const{width:t,height:e}=this._get_size();return{width:Math.round(t),height:Math.round(e)}}return{width:0,height:0}}_get_size(){throw new Error(\"not implemented\")}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.visible,(()=>{null!=this.layout&&(this.layout.visible=this.model.visible,this.plot_view.request_layout())}))}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}i.AnnotationView=r,r.__name__=\"AnnotationView\";class a extends l.Renderer{constructor(t){super(t)}}i.Annotation=a,o=a,a.__name__=\"Annotation\",o.override({level:\"annotation\"})},\n",
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null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e<this.classList.length;e++){const n=this.classList.item(e);null!=n&&t.push(n)}return t}has(t){return this.classList.contains(t)}add(...t){for(const e of t)this.classList.add(e);return this}remove(...t){for(const e of t)this.classList.remove(e);return this}clear(){for(const t of this.values)\"bk\"!=t&&this.classList.remove(t);return this}toggle(t,e){return(null!=e?e:!this.has(t))?this.add(t):this.remove(t),this}}var g;function m(t,e,n){const{width:i,height:o,position:s,display:l}=t.style;t.style.position=\"absolute\",t.style.display=\"\",t.style.width=null!=e.width&&e.width!=1/0?`${e.width}px`:\"auto\",t.style.height=null!=e.height&&e.height!=1/0?`${e.height}px`:\"auto\";try{return n()}finally{t.style.position=s,t.style.display=l,t.style.width=i,t.style.height=o}}n.ClassList=p,p.__name__=\"ClassList\",n.classes=function(t){return new p(t)},n.toggle_attribute=function(t,e,n){null==n&&(n=!t.hasAttribute(e)),n?t.setAttribute(e,\"true\"):t.removeAttribute(e)},(g=n.Keys||(n.Keys={}))[g.Backspace=8]=\"Backspace\",g[g.Tab=9]=\"Tab\",g[g.Enter=13]=\"Enter\",g[g.Esc=27]=\"Esc\",g[g.PageUp=33]=\"PageUp\",g[g.PageDown=34]=\"PageDown\",g[g.Left=37]=\"Left\",g[g.Up=38]=\"Up\",g[g.Right=39]=\"Right\",g[g.Down=40]=\"Down\",g[g.Delete=46]=\"Delete\",n.undisplayed=function(t,e){const{display:n}=t.style;t.style.display=\"none\";try{return e()}finally{t.style.display=n}},n.unsized=function(t,e){return m(t,{},e)},n.sized=m;class y{constructor(t){this.root=t,this.known=new Set,this.style=(0,n.style)({type:\"text/css\"}),c(t,this.style)}append(t){this.known.has(t)||(this.style.appendChild(document.createTextNode(t)),this.known.add(t))}}n.StyleSheet=y,y.__name__=\"StyleSheet\",n.stylesheet=new y(document.head),n.dom_ready=async function(){if(\"loading\"==document.readyState)return new Promise(((t,e)=>{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n",
-       "      function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n",
-       "      function _(e,t,r,a,c){a();const n=e(1),l=e(46);c(\"Line\",l.Line),c(\"LineScalar\",l.LineScalar),c(\"LineVector\",l.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=(0,n.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new l.Line(e,t);case u.LineScalar:return new l.LineScalar(e,t);case u.LineVector:return new l.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();a instanceof V.VisualProperties&&a.update(),this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n",
-       "      function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n",
-       "      function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n",
-       "      function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n",
-       "      function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n",
-       "      function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n",
-       "      function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r<t;r++){const t=this.hatch_color.get(r),i=this.hatch_alpha.get(r),h=this.hatch_scale.get(r);e(this.hatch_pattern.get(r),t,i,h,this.hatch_weight.get(r),(t=>{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n",
-       "      function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n",
-       "      function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n",
-       "      function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n",
-       "      function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}invert(e){return this.s_invert(e)}v_invert(e){const t=new Float64Array(e.length),{s_invert:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}r_compute(e,t){const{s_compute:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}r_invert(e,t){const{s_invert:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}}r.Scale=u,_=u,u.__name__=\"Scale\",_.internal((({Ref:e})=>({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n",
-       "      function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n",
-       "      function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n",
-       "      function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n",
-       "      function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
-       "      function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n",
-       "      function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n",
-       "      function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n",
-       "      function _(t,i,n,a,e){a();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return a<i*e?a=i*e:e=a/i,n.x1=s+.5*a,n.x0=s-.5*a,n.y1=l+.5*e,n.y0=l-.5*e,n}_compute_min_max(t,i){let n,a,e=d.empty();for(const i of t)e=d.union(e,i);return[n,a]=0==i?[e.x0,e.x1]:[e.y0,e.y1],[n,a]}_compute_range(t,i){const n=this.range_padding;let a,e;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,l;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,h.logger.warn(`could not determine minimum data value for log axis, DataRange1d using value ${t}`)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,h.logger.warn(`could not determine maximum data value for log axis, DataRange1d using value ${i}`)),i==t)l=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let a,e;\"percent\"==this.range_padding_units?(a=Math.log(t)/Math.log(10),e=Math.log(i)/Math.log(10),l=(e-a)*(1+n)):(a=Math.log(t-n)/Math.log(10),e=Math.log(i+n)/Math.log(10),l=e-a),s=(a+e)/2}a=10**(s-l/2),e=10**(s+l/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;a=l-s/2,e=l+s/2}let s=1;this.flipped&&([a,e]=[e,a],s=-1);const l=this.follow_interval;return null!=l&&Math.abs(a-e)>l&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n",
-       "      function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n",
-       "      function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1<this.x0||t.x0>this.x1||t.y1<this.y0||t.y0>this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=o,o.__name__=\"BBox\"},\n",
-       "      function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n",
-       "      function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;s<t.length;s++){const r=t[s];if(i.has(r))throw new Error(`duplicate factor or subfactor: ${r}`);i.set(r,{value:.5+s*(1+n)+e})}return[i,(t.length-1)*n]}function d(t,n,e,i=0){var s;const r=new Map,a=new Map;for(const[n,e]of t){const t=null!==(s=a.get(n))&&void 0!==s?s:[];a.set(n,[...t,e])}let o=i,g=0;for(const[t,i]of a){const s=i.length,[a,p]=h(i,e,o);g+=p;const l=(0,c.sum)(i.map((t=>a.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i<n;i++)e[i]=this.synthetic(t[i]);return e}_init(t){const{levels:n,mapping:e,tops:i,mids:s,inside_padding:r}=(()=>{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n",
-       "      function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t<n;t++)_[t]=Math.PI/2+(0,v.atan2)([e[t],s[t]],[a[t],i[t]])}paint(t){const{start:e,end:s}=this,{_sx_start:a,_sy_start:i,_sx_end:n,_sy_end:_,_angles:r}=this,{x:o,y:l,width:d,height:h}=this.plot_view.frame.bbox;for(let c=0,u=a.length;c<u;c++)null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.render(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.render(t,c),t.restore()),this.visuals.line.doit&&(t.save(),null==e&&null==s||(t.beginPath(),t.rect(o,l,d,h),null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.clip(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.clip(t,c),t.restore()),t.closePath(),t.clip()),this.visuals.line.set_vectorize(t,c),t.beginPath(),t.moveTo(a[c],i[c]),t.lineTo(n[c],_[c]),t.stroke(),t.restore())}}s.ArrowView=p,p.__name__=\"ArrowView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.Arrow=x,_=x,x.__name__=\"Arrow\",_.prototype.default_view=p,_.mixins(l.LineVector),_.define((({Ref:t,Nullable:e})=>({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n",
-       "      function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n",
-       "      function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n",
-       "      function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n",
-       "      function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n",
-       "      function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n",
-       "      function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n",
-       "      function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length<e?(l=new t.constructor(e),l.set(t,0)):l=t;for(let t=o,n=r;t<n;t++)l[t-o]=l[t];for(let t=0,e=n.length;t<e;t++)l[t+(r-o)]=n[t];return l}{const e=new t.constructor(n);return u.concat(t,e)}}throw new Error(\"unsupported array types\")}function m(t,n){let e,s,o;return(0,i.isNumber)(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function _(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,c,a;if((0,i.isArray)(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],a=r,2===o.length?(n=[1,n[0]],c=[o[0],0,o[1]]):c=o}else(0,i.isNumber)(o)?(a=[r],e.add(o)):(a=r,s=!0),c=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,d,f]=m(c[1],n[0]),[_,p,g]=m(c[2],n[1]);for(let t=h;t<d;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=a[u],u++}return e}e.stream_to_column=f,e.slice=m,e.patch_to_column=_;class p extends c.ColumnarDataSource{constructor(t){super(t)}stream(t,n,e){const{data:s}=this;for(const[e,o]of(0,a.entries)(t))s[e]=f(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new d.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of(0,a.entries)(t))s=(0,h.union)(s,_(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new d.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=p,l=p,p.__name__=\"ColumnDataSource\",l.define((({Dict:t,Any:n})=>({data:[t(n),{}]})))},\n",
-       "      function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n",
-       "      function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n",
-       "      function _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e<n&&n<o},function(n){function t(n,t,o,r){const c=g(n.length,t.length);o=null!=o?o:n,r=null!=r?r:t;for(let l=0;l<c;l++){const c=n[l],i=t[l],[u,a]=e.wgs84_mercator.compute(c,i);o[l]=u,r[l]=a}}n.project_xy=t,n.project_xsys=function(n,e,o,r){const c=g(n.length,e.length);o=null!=o?o:n,r=null!=r?r:e;for(let l=0;l<c;l++)t(n[l],e[l],o[l],r[l])}}(e.inplace||(e.inplace={})),e.project_xy=m,e.project_xsys=function(n,t){const e=g(n.length,t.length),o=new Array(e),r=new Array(e);for(let c=0;c<e;c++){const[e,l]=m(n[c],t[c]);o[c]=e,r[c]=l}return[o,r]}},\n",
-       "      function _(e,n,t,r,o){r();const a=e(1),i=(0,a.__importDefault)(e(80)),c=(0,a.__importDefault)(e(106));var u=(0,i.default)(\"WGS84\");function f(e,n,t,r){var o,a,i;return Array.isArray(t)?(o=(0,c.default)(e,n,t,r)||{x:NaN,y:NaN},t.length>2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t,r){return f(e,n,t,r)},inverse:function(t,r){return f(n,e,t,r)}},o&&(r.oProj=n),r)}},\n",
-       "      function _(t,e,a,s,i){s();const l=t(1),u=(0,l.__importDefault)(t(81)),r=(0,l.__importDefault)(t(92)),d=(0,l.__importDefault)(t(93)),o=t(101),f=(0,l.__importDefault)(t(103)),p=(0,l.__importDefault)(t(104)),m=(0,l.__importDefault)(t(88)),n=t(105);function h(t,e){if(!(this instanceof h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n",
-       "      function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n",
-       "      function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n",
-       "      function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n",
-       "      function _(t,n,o,a,u){a();const e=t(1),r=t(85),i=(0,e.__importDefault)(t(86)),f=(0,e.__importDefault)(t(87)),l=(0,e.__importDefault)(t(88));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},gamma:function(t){u.rectified_grid_angle=parseFloat(t)},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n",
-       "      function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n",
-       "      function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n",
-       "      function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n",
-       "      function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n",
-       "      function _(e,a,t,o,n){o();const r=e(1);const l=(0,r.__importDefault)(e(90)),d=e(91);function i(e){return.017453292519943295*e}t.default=function(e){var a=(0,l.default)(e),t=a.shift(),o=a.shift();a.unshift([\"name\",o]),a.unshift([\"type\",t]);var n={};return(0,d.sExpr)(a,n),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var a=\"\",t=0,o=e.AXIS.length;t<o;++t){var n=[e.AXIS[t][0].toLowerCase(),e.AXIS[t][1].toLowerCase()];-1!==n[0].indexOf(\"north\")||(\"y\"===n[0]||\"lat\"===n[0])&&\"north\"===n[1]?a+=\"n\":-1!==n[0].indexOf(\"south\")||(\"y\"===n[0]||\"lat\"===n[0])&&\"south\"===n[1]?a+=\"s\":-1!==n[0].indexOf(\"east\")||(\"x\"===n[0]||\"lon\"===n[0])&&\"east\"===n[1]?a+=\"e\":-1===n[0].indexOf(\"west\")&&(\"x\"!==n[0]&&\"lon\"!==n[0]||\"west\"!==n[1])||(a+=\"w\")}2===a.length&&(a+=\"u\"),3===a.length&&(e.axis=a)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(a){return a*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_1\",\"Latitude of 1st standard parallel\"],[\"standard_parallel_2\",\"Standard_Parallel_2\"],[\"standard_parallel_2\",\"Latitude of 2nd standard parallel\"],[\"false_easting\",\"False_Easting\"],[\"false_easting\",\"False easting\"],[\"false-easting\",\"Easting at false origin\"],[\"false_northing\",\"False_Northing\"],[\"false_northing\",\"False northing\"],[\"false_northing\",\"Northing at false origin\"],[\"central_meridian\",\"Central_Meridian\"],[\"central_meridian\",\"Longitude of natural origin\"],[\"central_meridian\",\"Longitude of false origin\"],[\"latitude_of_origin\",\"Latitude_Of_Origin\"],[\"latitude_of_origin\",\"Central_Parallel\"],[\"latitude_of_origin\",\"Latitude of natural origin\"],[\"latitude_of_origin\",\"Latitude of false origin\"],[\"scale_factor\",\"Scale_Factor\"],[\"k0\",\"scale_factor\"],[\"latitude_of_center\",\"Latitude_Of_Center\"],[\"latitude_of_center\",\"Latitude_of_center\"],[\"lat0\",\"latitude_of_center\",i],[\"longitude_of_center\",\"Longitude_Of_Center\"],[\"longitude_of_center\",\"Longitude_of_center\"],[\"longc\",\"longitude_of_center\",i],[\"x0\",\"false_easting\",l],[\"y0\",\"false_northing\",l],[\"long0\",\"central_meridian\",i],[\"lat0\",\"latitude_of_origin\",i],[\"lat0\",\"standard_parallel_1\",i],[\"lat1\",\"standard_parallel_1\",i],[\"lat2\",\"standard_parallel_2\",i],[\"azimuth\",\"Azimuth\"],[\"alpha\",\"azimuth\",i],[\"srsCode\",\"name\"]].forEach((function(a){return t=e,n=(o=a)[0],r=o[1],void(!(n in t)&&r in t&&(t[n]=t[r],3===o.length&&(t[n]=o[2](t[n]))));var t,o,n,r})),e.long0||!e.longc||\"Albers_Conic_Equal_Area\"!==e.projName&&\"Lambert_Azimuthal_Equal_Area\"!==e.projName||(e.long0=e.longc),e.lat_ts||!e.lat1||\"Stereographic_South_Pole\"!==e.projName&&\"Polar Stereographic (variant B)\"!==e.projName||(e.lat0=i(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n",
-       "      function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place<this.text.length;)this.readCharicter();if(-1===this.state)return this.root;throw new Error('unable to parse string \"'+this.text+'\". State is '+this.state)}},\n",
-       "      function _(e,a,r,s,c){function n(e,a,r){Array.isArray(a)&&(r.unshift(a),a=null);var s=a?{}:e,c=r.reduce((function(e,a){return E(a,e),e}),s);a&&(e[a]=c)}function E(e,a){if(Array.isArray(e)){var r=e.shift();if(\"PARAMETER\"===r&&(r=e.shift()),1===e.length)return Array.isArray(e[0])?(a[r]={},void E(e[0],a[r])):void(a[r]=e[0]);if(e.length)if(\"TOWGS84\"!==r){if(\"AXIS\"===r)return r in a||(a[r]=[]),void a[r].push(e);var s;switch(Array.isArray(r)||(a[r]={}),r){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return a[r]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&E(e[2],a[r]));case\"SPHEROID\":case\"ELLIPSOID\":return a[r]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&E(e[3],a[r]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void n(a,r,e);default:for(s=-1;++s<e.length;)if(!Array.isArray(e[s]))return E(e,a[r]);return n(a,r,e)}}else a[r]=e;else a[r]=!0}else a[e]=!0}s(),r.sExpr=E},\n",
-       "      function _(n,r,f,i,t){i(),f.default=function(n,r){var f,i;if(n=n||{},!r)return n;for(i in r)void 0!==(f=r[i])&&(n[i]=f);return n}},\n",
-       "      function _(t,o,a,e,n){e();const r=t(1),f=(0,r.__importDefault)(t(94)),u=(0,r.__importDefault)(t(100));var i=[f.default,u.default],c={},d=[];function s(t,o){var a=d.length;return t.names?(d[a]=t,t.names.forEach((function(t){c[t.toLowerCase()]=a})),this):(console.log(o),!0)}function l(t){if(!t)return!1;var o=t.toLowerCase();return void 0!==c[o]&&d[c[o]]?d[c[o]]:void 0}function v(){i.forEach(s)}a.add=s,a.get=l,a.start=v,a.default={start:v,add:s,get:l}},\n",
-       "      function _(t,i,s,h,a){h();const e=t(1),r=(0,e.__importDefault)(t(95)),n=(0,e.__importDefault)(t(96)),l=(0,e.__importDefault)(t(98)),u=(0,e.__importDefault)(t(99)),o=t(85);function f(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=(0,r.default)(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function _(t){var i,s,h=t.x,a=t.y;if(a*o.R2D>90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n",
-       "      function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n",
-       "      function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n",
-       "      function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n",
-       "      function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n",
-       "      function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n",
-       "      function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n",
-       "      function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)<i.EPSLN)&&(n=!0,r=t),{a:t,b:r,rf:e,sphere:n}}},\n",
-       "      function _(e,a,l,s,r){s();var i={};l.default=i,i.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},i.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},i.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},i.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},i.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},i.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},i.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},i.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},i.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},i.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},i.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},i.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},i.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},i.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},i.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},i.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},i.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},i.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},i.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},i.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},i.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},i.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},i.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},i.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},i.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},i.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},i.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},i.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},i.hough={a:6378270,rf:297,ellipseName:\"Hough\"},i.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},i.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},i.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},i.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},i.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},i.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},i.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},i.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},i.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},i.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},i.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},i.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84=i.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},i.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
-       "      function _(e,a,s,t,l){t();var m={};s.default=m,m.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},m.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},m.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},m.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},m.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},m.potsdam={towgs84:\"598.1,73.7,418.2,0.202,0.045,-2.455,6.7\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},m.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},m.hermannskogel={towgs84:\"577.326,90.129,463.919,5.137,1.474,5.297,2.4232\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},m.osni52={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"airy\",datumName:\"Irish National\"},m.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},m.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},m.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},m.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},m.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},m.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},m.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},m.rnb72={towgs84:\"106.869,-52.2978,103.724,-0.33657,0.456955,-1.84218,1\",ellipse:\"intl\",datumName:\"Reseau National Belge 1972\"}},\n",
-       "      function _(a,m,_,t,u){t();const d=a(85);_.default=function(a,m,_,t,u,p,r){var s={};return s.datum_type=void 0===a||\"none\"===a?d.PJD_NODATUM:d.PJD_WGS84,m&&(s.datum_params=m.map(parseFloat),0===s.datum_params[0]&&0===s.datum_params[1]&&0===s.datum_params[2]||(s.datum_type=d.PJD_3PARAM),s.datum_params.length>3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n",
-       "      function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l<n.gridNodeCount;l++){var o={latitudeShift:t.getFloat32(i+16*l,r),longitudeShift:t.getFloat32(i+16*l+4,r),latitudeAccuracy:t.getFloat32(i+16*l+8,r),longitudeAccuracy:t.getFloat32(i+16*l+12,r)};u.push(o)}return u}n.default=function(t,e){var n=new DataView(e),r=function(t){var e=t.getInt32(8,!1);if(11===e)return!1;11!==(e=t.getInt32(8,!0))&&console.warn(\"Failed to detect nadgrid endian-ness, defaulting to little-endian\");return!0}(n),i=function(t,e){return{nFields:t.getInt32(8,e),nSubgridFields:t.getInt32(24,e),nSubgrids:t.getInt32(40,e),shiftType:a(t,56,64).trim(),fromSemiMajorAxis:t.getFloat64(120,e),fromSemiMinorAxis:t.getFloat64(136,e),toSemiMajorAxis:t.getFloat64(152,e),toSemiMinorAxis:t.getFloat64(168,e)}}(n,r);i.nSubgrids>1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l=function(t,e,n){for(var r=176,i=[],u=0;u<e.nSubgrids;u++){var l=g(t,r,n),a=s(t,r,l,n),f=Math.round(1+(l.upperLongitude-l.lowerLongitude)/l.longitudeInterval),c=Math.round(1+(l.upperLatitude-l.lowerLatitude)/l.latitudeInterval);i.push({ll:[o(l.lowerLongitude),o(l.lowerLatitude)],del:[o(l.longitudeInterval),o(l.latitudeInterval)],lim:[f,c],count:l.gridNodeCount,cvs:d(a)})}return i}(n,i,r),f={header:i,subgrids:l};return u[t]=f,f},n.getNadgrids=function(t){return void 0===t?null:t.split(\",\").map(l)}},\n",
-       "      function _(t,e,a,r,u){r();const m=t(1),_=t(85),o=(0,m.__importDefault)(t(107)),d=(0,m.__importDefault)(t(109)),f=(0,m.__importDefault)(t(80)),n=(0,m.__importDefault)(t(110)),i=(0,m.__importDefault)(t(111));a.default=function t(e,a,r,u){var m;if(Array.isArray(r)&&(r=(0,n.default)(r)),(0,i.default)(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===_.PJD_3PARAM||t.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===_.PJD_3PARAM||e.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,m=new f.default(\"WGS84\"),r,u),e=m),u&&\"enu\"!==e.axis&&(r=(0,d.default)(e,!1,r)),\"longlat\"===e.projName)r={x:r.x*_.D2R,y:r.y*_.D2R,z:r.z||0};else if(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),!(r=e.inverse(r)))return;if(e.from_greenwich&&(r.x+=e.from_greenwich),r=(0,o.default)(e.datum,a.datum,r))return a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*_.R2D,y:r.y*_.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),u&&\"enu\"!==a.axis?(0,d.default)(a,!0,r):r}},\n",
-       "      function _(r,e,t,a,i){a();const l=r(1),n=r(85),o=r(108),u=(0,l.__importDefault)(r(96));function d(r){return r===n.PJD_3PARAM||r===n.PJD_7PARAM}function s(r,e,t){if(null===r.grids||0===r.grids.length)return console.log(\"Grid shift grids not found\"),-1;for(var a={x:-t.x,y:t.y},i={x:Number.NaN,y:Number.NaN},l=[],o=0;o<r.grids.length;o++){var u=r.grids[o];if(l.push(u.name),u.isNull){i=a;break}if(u.mandatory,null!==u.grid){var d=u.grid.subgrids[0],s=(Math.abs(d.del[1])+Math.abs(d.del[0]))/1e4,f=d.ll[0]-s,x=d.ll[1]-s,m=d.ll[0]+(d.lim[0]-1)*d.del[0]+s,N=d.ll[1]+(d.lim[1]-1)*d.del[1]+s;if(!(x>a.y||f>a.x||N<a.y||m<a.x||(i=y(a,e,d),isNaN(i.x))))break}else if(u.mandatory)return console.log(\"Unable to find mandatory grid '\"+u.name+\"'\"),-1}return isNaN(i.x)?(console.log(\"Failed to find a grid shift table for location '\"+-a.x*n.R2D+\" \"+a.y*n.R2D+\" tried: '\"+l+\"'\"),-1):(t.x=-i.x,t.y=i.y,0)}function y(r,e,t){var a={x:Number.NaN,y:Number.NaN};if(isNaN(r.x))return a;var i={x:r.x,y:r.y};i.x-=t.ll[0],i.y-=t.ll[1],i.x=(0,u.default)(i.x-Math.PI)+Math.PI;var l=f(i,t);if(e){if(isNaN(l.x))return a;l.x=i.x-l.x,l.y=i.y-l.y;var n,o,d=9;do{if(o=f(l,t),isNaN(o.x)){console.log(\"Inverse grid shift iteration failed, presumably at grid edge.  Using first approximation.\");break}n={x:i.x-(o.x+l.x),y:i.y-(o.y+l.y)},l.x+=n.x,l.y+=n.y}while(d--&&Math.abs(n.x)>1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n",
-       "      function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r<h){if(c=0,_/r<h)return u.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else c=Math.atan2(I,f);e=F/_,P=(n=s/_)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),y=e*d,A=0;do{A++,i=t*(p=r/Math.sqrt(1-t*y*y))/(p+(x=s*P+F*y-p*(1-t*y*y))),o=(M=e*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(z=n*(1-i)*d)*y,P=z,y=M}while(o*o>1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n",
-       "      function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n",
-       "      function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n",
-       "      function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n",
-       "      function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n",
-       "      function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n",
-       "      function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n",
-       "      function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n",
-       "      function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n",
-       "      function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n",
-       "      function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n",
-       "      function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n",
-       "      function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e<o;e++)t.fillText(h[e],i,z),i+=_[e]+l;z+=x.height+a}else for(let e=0;e<_;e++){const s=v+(()=>{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n",
-       "      function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n<s&&(n=s,t.width=s),r<u&&(r=u,t.height=u),e.save(),e.scale(a,a),e.fillStyle=\"#f00\",e.fillRect(0,0,s,u);const f=t=>{let e=0;for(let n=0;n<=i;n++)for(let r=0;r<s;r++,e+=4)if(255!=t[e])return i-n;return 0};e.font=l,e.fillStyle=\"#000\";for(const t of\"xa\")e.fillText(t,0,i/a);const{data:h}=e.getImageData(0,0,s,u),g=f(h)/a;for(const t of\"ASQ\")e.fillText(t,0,i/a);const{data:d}=e.getImageData(0,0,s,u),x=f(d)/a;for(const t of\"\\xc5\\u015agy\")e.fillText(t,0,i/a);const{data:m}=e.getImageData(0,0,s,u),B=f(m)/a,w=(t=>{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r<s;r++,e-=4)if(255!=t[e])return n-i;return 0})(m)/a;return e.restore(),{height:B+w,ascent:B,cap_height:x,x_height:g,descent:w}}})(),i=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n<u||r<i)&&(n=u,t.width=u,r=i,t.height=i),e.save(),e.scale(c,c),e.fillStyle=\"#f00\",e.fillRect(0,0,u,i);e.font=a,e.fillStyle=\"#000\",e.fillText(l,0,f/c);const h=e.measureText(l),{data:g}=e.getImageData(0,0,u,i),d=(t=>{let e=0;for(let n=0;n<=f;n++)for(let r=0;r<u;r++,e+=4)if(255!=t[e])return f-n;return 0})(g)/c,x=(t=>{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r<u;r++,e-=4)if(255!=t[e])return n-f;return 0})(g)/c;return e.restore(),{width:h.width,height:d+x,ascent:d,descent:x}}})(),f=(()=>{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n",
-       "      function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o<c;o++){const c=t[o],p=s[o];t[o]=r*c+i*p+a,s[o]=n*c+e*p+h}}transform(t,s,r,n,i,e){const{a,b:h,c,d:o,e:p,f}=this;return this.a=a*t+c*s,this.c=a*r+c*n,this.e=a*i+c*e+p,this.b=h*t+o*s,this.d=h*r+o*n,this.f=h*i+o*e+f,this}translate(t,s){return this.transform(1,0,0,1,t,s)}scale(t,s){return this.transform(t,0,0,s,0,0)}skew(t,s){return this.transform(1,s,t,1,0,0)}rotate(t){const s=e(t),r=a(t);return this.transform(r,s,-s,r,0,0)}rotate_ccw(t){return this.rotate(-t)}translate_x(t){return this.translate(t,0)}translate_y(t){return this.translate(0,t)}flip(){return this.scale(-1,-1)}flip_x(){return this.scale(1,-1)}flip_y(){return this.scale(-1,1)}}r.AffineTransform=h,h.__name__=\"AffineTransform\"},\n",
-       "      function _(t,e,i,l,r){l();const a=t(124),o=t(125),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return(0,n.isString)(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return(0,n.isString)(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n",
-       "      function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=(0,n.Enum)(\"fixed\",\"fit\",\"min\",\"max\")},\n",
-       "      function _(i,t,h,e,n){e();const s=i(124),r=i(65),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(i,t)),this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n",
-       "      function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n",
-       "      function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n",
-       "      function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e<a.length;e++){const i=Math.round(a[e]+l*_),s=Math.round(o[e]+n*r);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,o=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,o)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,o=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,o)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),o=this.model.major_label_orientation,l=e.tick+this.model.major_label_standoff,n=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,o,this.panel.side,l,n)}_axis_label_extent(){if(null==this._axis_label_view)return 0;const t=this._axis_label_view.graphics();t.visuals=this.visuals.axis_label_text.values(),t.angle=this.panel.get_label_angle_heuristic(\"parallel\"),(0,f.isNumber)(this.plot_view.base_font_size)&&(t.base_font_size=this.plot_view.base_font_size);const e=t.size(),i=0==this.dimension?e.height:e.width,s=this.model.axis_label_standoff;return i>0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;e<n.length;e++){const i=Math.round(n[e]+d),s=Math.round(_[e]+x),a=Math.round(n[e]+u),o=Math.round(_[e]+m);t.moveTo(i,s),t.lineTo(a,o)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,o,l){if(!l.doit||0==e.length)return;const[n,_]=i,[r,h]=this.coordinates.map_to_screen(n,_),[c,b]=this.offsets,[m,d]=this.normals,x=m*(c+o),f=d*(b+o),{vertical_align:p,align:v}=this.panel.get_label_text_heuristics(s),w=this.panel.get_label_angle_heuristic(s);e.visuals=l.values(),e.angle=w,e.base_font_size=this.plot_view.base_font_size;for(let t=0;t<e.length;t++){const i=e.items[t];i.position={sx:r[t]+x,sy:h[t]+f,x_anchor:v,y_anchor:p},i instanceof g.TextBox&&(i.align=v)}const j=e.length,k=u.Indices.all_set(j),{items:y}=e,z=y.map((t=>t.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;a<t.length;a++){const o=i.get(t[a].toString());null!=o&&(s.add(o),e[a]=o.graphics())}for(const t of this._major_label_views.values())s.has(t)||(t._has_finished=!0);return new g.GraphicsBoxes(e)}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=z(this.layout.bbox.top-t.bbox.bottom);break;case\"above\":i=z(this.layout.bbox.bottom-t.bbox.top);break;case\"right\":e=z(this.layout.bbox.left-t.bbox.right);break;case\"left\":e=z(this.layout.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,o]=e,[l,n]=i,{min:_,max:r}=Math;return z(a-o)>z(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<l.length;i++)l[i]<h||l[i]>c||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n",
-       "      function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n",
-       "      function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n",
-       "      function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n",
-       "      function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)<t?e.unset(n):i=n;return e}}s.NoOverlap=m,c=m,m.__name__=\"NoOverlap\",c.define((({Number:e})=>({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n",
-       "      function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n",
-       "      function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n",
-       "      function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n",
-       "      function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n",
-       "      function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(515)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n",
-       "      function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n",
-       "      function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n",
-       "      function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const p=(e.synthetic(s)+e.synthetic(o))/2;p>i&&p<r&&(_[a].push(p),_[l].push(this.loc))}const p=this.extents.tick_label;this._draw_ticks(t,_,-3,p-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_labels[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e),r=this.tick_coords,a=[],l=t=>new h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n",
-       "      function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&t<s&&e.push(r)}return e}}o.CategoricalTicker=i,i.__name__=\"CategoricalTicker\"},\n",
-       "      function _(t,r,o,c,a){c();const e=t(131),n=t(9);class i extends e.TickFormatter{constructor(t){super(t)}doFormat(t,r){return(0,n.copy)(t)}}o.CategoricalTickFormatter=i,i.__name__=\"CategoricalTickFormatter\"},\n",
-       "      function _(s,n,i,o,u){o();const e=s(128);class t extends e.AxisView{}i.ContinuousAxisView=t,t.__name__=\"ContinuousAxisView\";class _ extends e.Axis{constructor(s){super(s)}}i.ContinuousAxis=_,_.__name__=\"ContinuousAxis\"},\n",
-       "      function _(e,t,i,a,r){var s;a();const n=e(145),m=e(150),_=e(155);class c extends n.LinearAxisView{}i.DatetimeAxisView=c,c.__name__=\"DatetimeAxisView\";class o extends n.LinearAxis{constructor(e){super(e)}}i.DatetimeAxis=o,s=o,o.__name__=\"DatetimeAxis\",s.prototype.default_view=c,s.override({ticker:()=>new _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n",
-       "      function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n",
-       "      function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=o;break}e[0]=(0,c.to_fixed)(i[0],o);for(let t=1;t<i.length;t++)if(e[t]=(0,c.to_fixed)(i[t],o),e[t]==e[t-1])continue i;this.last_precision=o;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),n=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,n)}}e.BasicTickFormatter=a,r=a,a.__name__=\"BasicTickFormatter\",r.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n",
-       "      function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n",
-       "      function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const t=(0,_.nth)(this.mantissas,-1)/this.base,i=(0,_.nth)(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const s=i-t,e=this.get_ideal_interval(t,i,a),n=Math.floor((0,l.log)(e/this.base_factor,this.base)),r=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-s/(t*r)))),v=h[(0,_.argmin)(m)]*r;return(0,l.clamp)(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=h,n=h,h.__name__=\"AdaptiveTicker\",n.define((({Number:t,Array:i,Nullable:a})=>({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))},\n",
-       "      function _(t,n,i,s,e){var o;s();const r=t(130),c=t(9);class _ extends r.Ticker{constructor(t){super(t)}get_ticks(t,n,i,s){return this.get_ticks_no_defaults(t,n,s,this.desired_num_ticks)}get_ticks_no_defaults(t,n,i,s){const e=this.get_interval(t,n,s),o=Math.floor(t/e),r=Math.ceil(n/e);let _;_=isFinite(o)&&isFinite(r)?(0,c.range)(o,r+1):[];const u=_.map((t=>t*e)).filter((i=>t<=i&&i<=n)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const i=e/a,s=(0,c.range)(0,a).map((t=>t*i));for(const i of s.slice(1)){const s=u[0]-i;t<=s&&s<=n&&f.push(s)}for(const i of u)for(const e of s){const s=i+e;t<=s&&s<=n&&f.push(s)}}return{major:u,minor:f}}get_ideal_interval(t,n,i){return(n-t)/i}}i.ContinuousTicker=_,o=_,_.__name__=\"ContinuousTicker\",o.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))},\n",
-       "      function _(s,t,e,n,i){n();var r;const o=(0,s(1).__importDefault)(s(151)),a=s(131),c=s(19),u=s(152),m=s(9),h=s(8);function d(s){return(0,o.default)(s,\"%Y %m %d %H %M %S\").split(/\\s+/).map((s=>parseInt(s,10)))}function l(s,t){if((0,h.isFunction)(t))return t(s);{const e=(0,u.sprintf)(\"$1%06d\",function(s){return Math.round(s/1e3%1*1e6)}(s));return-1==(t=t.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?t:(0,o.default)(s,t)}}const f=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends a.TickFormatter{constructor(s){super(s),this.strip_leading_zeros=!0}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const s=+(0,o.default)(new Date),t=function(t){const e=t.map((t=>l(s,t).length)),n=(0,m.sort_by)((0,m.zip)(e,t),(([s])=>s));return(0,m.unzip)(n)};this._width_formats={microseconds:t(this.microseconds),milliseconds:t(this.milliseconds),seconds:t(this.seconds),minsec:t(this.minsec),minutes:t(this.minutes),hourmin:t(this.hourmin),hours:t(this.hours),days:t(this.days),months:t(this.months),years:t(this.years)}}_get_resolution_str(s,t){const e=1.1*s;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return t>=60?\"minsec\":\"seconds\";case!(e<3600):return t>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(s,t){if(0==s.length)return[];const e=Math.abs(s[s.length-1]-s[0])/1e3,n=e/(s.length-1),i=this._get_resolution_str(n,e),[,[r]]=this._width_formats[i],o=[],a=f.indexOf(i),u={};for(const s of f)u[s]=0;u.seconds=5,u.minsec=4,u.minutes=4,u.hourmin=3,u.hours=3;for(const t of s){let s,e;try{e=d(t),s=l(t,r)}catch(s){c.logger.warn(`unable to format tick for timestamp value ${t}`),c.logger.warn(` - ${s}`),o.push(\"ERR\");continue}let n=!1,m=a;for(;0==e[u[f[m]]];){let r;if(m+=1,m==f.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!n){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){r=this._width_formats[f[a-1]][1][0],s=l(t,r);break}n=!0}r=this._width_formats[f[m]][1][0],s=l(t,r)}if(this.strip_leading_zeros){let t=s.replace(/^0+/g,\"\");t!=s&&isNaN(parseInt(t))&&(t=`0${t}`),o.push(t)}else o.push(s)}return o}}e.DatetimeTickFormatter=_,r=_,_.__name__=\"DatetimeTickFormatter\",r.define((({String:s,Array:t})=>({microseconds:[t(s),[\"%fus\"]],milliseconds:[t(s),[\"%3Nms\",\"%S.%3Ns\"]],seconds:[t(s),[\"%Ss\"]],minsec:[t(s),[\":%M:%S\"]],minutes:[t(s),[\":%M\",\"%Mm\"]],hourmin:[t(s),[\"%H:%M\"]],hours:[t(s),[\"%Hh\",\"%H:%M\"]],days:[t(s),[\"%m/%d\",\"%a%d\"]],months:[t(s),[\"%m/%Y\",\"%b %Y\"]],years:[t(s),[\"%Y\"]]})))},\n",
-       "      function _(e,t,n,r,o){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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-       "      function _(r,t,n,e,i){e();const u=r(1),a=(0,u.__importStar)(r(153)),f=r(154),o=(0,u.__importDefault)(r(151)),l=r(21),s=r(8);function c(r,...t){return(0,f.sprintf)(r,...t)}function m(r,t,n){if((0,s.isNumber)(r)){return c((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return`${r}`}function _(r,t,e){if(null==t)return m;if(null!=e&&r in e){const t=e[r];if((0,s.isString)(t)){if(t in n.DEFAULT_FORMATTERS)return n.DEFAULT_FORMATTERS[t];throw new Error(`Unknown tooltip field formatter type '${t}'`)}return function(r,n,e){return t.format(r,n,e)}}return n.DEFAULT_FORMATTERS.numeral}function p(r,t,n){const e=t.get_column(r);if(null==e)return null;if((0,s.isNumber)(n))return e[n];const i=e[n.index];if((0,s.isTypedArray)(i)||(0,s.isArray)(i)){if((0,s.isArray)(i[0])){return i[n.dim2][n.dim1]}return i[n.flat_index]}return i}function d(r,t,n,e){if(\"$\"==r[0]){return function(r,t){if(r in t)return t[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),e)}return p(r.substring(1).replace(/[{}]/g,\"\"),t,n)}n.FormatterType=(0,l.Enum)(\"numeral\",\"printf\",\"datetime\"),n.DEFAULT_FORMATTERS={numeral:(r,t,n)=>a.format(r,t),datetime:(r,t,n)=>(0,o.default)(r,t),printf:(r,t,n)=>c(t,r)},n.sprintf=c,n.basic_formatter=m,n.get_formatter=_,n._get_column_value=p,n.get_value=d,n.replace_placeholders=function(r,t,n,e,i={},u){let a,f;if((0,s.isString)(r)?(a=r,f=!1):(a=r.html,f=!0),a=a.replace(/@\\$name/g,(r=>`@{${i.name}}`)),a=a.replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,((r,a,o)=>{const l=d(a,t,n,i);if(null==l)return u?u(\"???\"):\"???\";if(\"safe\"==o)return f=!0,`${l}`;const s=`${_(a,o,e)(l,o,i)}`;return u?u(s):s})),f){return[...(new DOMParser).parseFromString(a,\"text/html\").body.childNodes]}return a}},\n",
-       "      function _(e,n,t,r,i){\n",
-       "      /*!\n",
-       "           * numbro.js\n",
-       "           * version : 1.6.2\n",
-       "           * author : Företagsplatsen AB\n",
-       "           * license : MIT\n",
-       "           * http://www.foretagsplatsen.se\n",
-       "           */\n",
-       "      var a,o={},l=o,u=\"en-US\",c=null,s=\"0,0\";void 0!==n&&n.exports;function f(e){this._value=e}function d(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function h(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+d(i-r.length),n>0&&(a+=\".\"+d(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function p(e,n,t){var r;return r=n.indexOf(\"$\")>-1?function(e,n,t){var r,i,a=n,l=a.indexOf(\"$\"),c=a.indexOf(\"(\"),s=a.indexOf(\"+\"),f=a.indexOf(\"-\"),d=\"\",h=\"\";-1===a.indexOf(\"$\")?\"infix\"===o[u].currency.position?(h=o[u].currency.symbol,o[u].currency.spaceSeparated&&(h=\" \"+h+\" \")):o[u].currency.spaceSeparated&&(d=\" \"):a.indexOf(\" $\")>-1?(d=\" \",a=a.replace(\" $\",\"\")):a.indexOf(\"$ \")>-1?(d=\" \",a=a.replace(\"$ 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w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" a\",\"\")):n=n.replace(\"a\",\"\"),p=0===(p=(f=Math.floor(Math.log(T)/Math.LN10)+1)%3)?3:p,g&&0!==T&&(d=Math.floor(Math.log(T)/Math.LN10)+1-g,m=3*~~((Math.min(g,f)-p)/3),T/=Math.pow(10,m),-1===n.indexOf(\".\")&&g>3))for(n+=\"[.]\",M=(M=0===d?0:3*~~(d/3)-d)<0?M+3:M,i=0;i<M;i++)n+=\"0\";Math.floor(Math.log(Math.abs(e))/Math.LN10)+1!==g&&(T>=Math.pow(10,12)&&!D||j?(k+=o[u].abbreviations.trillion,e/=Math.pow(10,12)):T<Math.pow(10,12)&&T>=Math.pow(10,9)&&!D||S?(k+=o[u].abbreviations.billion,e/=Math.pow(10,9)):T<Math.pow(10,9)&&T>=Math.pow(10,6)&&!D||N?(k+=o[u].abbreviations.million,e/=Math.pow(10,6)):(T<Math.pow(10,6)&&T>=Math.pow(10,3)&&!D||U)&&(k+=o[u].abbreviations.thousand,e/=Math.pow(10,3)))}if(n.indexOf(\"b\")>-1)for(n.indexOf(\" b\")>-1?(C=\" \",n=n.replace(\" b\",\"\")):n=n.replace(\"b\",\"\"),s=0;s<=K.length;s++)if(a=Math.pow(1024,s),l=Math.pow(1024,s+1),e>=a&&e<l){C+=K[s],a>0&&(e/=a);break}if(n.indexOf(\"d\")>-1)for(n.indexOf(\" d\")>-1?(C=\" \",n=n.replace(\" d\",\"\")):n=n.replace(\"d\",\"\"),s=0;s<=G.length;s++)if(a=Math.pow(1e3,s),l=Math.pow(1e3,s+1),e>=a&&e<l){C+=G[s],a>0&&(e/=a);break}if(n.indexOf(\"o\")>-1&&(n.indexOf(\" o\")>-1?(L=\" \",n=n.replace(\" o\",\"\")):n=n.replace(\"o\",\"\"),o[u].ordinal&&(L+=o[u].ordinal(e))),n.indexOf(\"[.]\")>-1&&(F=!0,n=n.replace(\"[.]\",\".\")),x=e.toString().split(\".\")[0],O=n.split(\".\")[1],y=n.indexOf(\",\"),O){if(x=(I=-1!==O.indexOf(\"*\")?h(e,e.toString().split(\".\")[1].length,t):O.indexOf(\"[\")>-1?h(e,(O=(O=O.replace(\"]\",\"\")).split(\"[\"))[0].length+O[1].length,t,O[1].length):h(e,O.length,t)).split(\".\")[0],I.split(\".\")[1].length)I=(r?k+r:o[u].delimiters.decimal)+I.split(\".\")[1];else I=\"\";F&&0===Number(I.slice(1))&&(I=\"\")}else x=h(e,null,t);return x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length<v&&(x=new Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+o[u].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function x(e,n){o[e]=n}function g(e){u=e;var n=o[e].defaults;n&&n.format&&a.defaultFormat(n.format),n&&n.currencyFormat&&a.defaultCurrencyFormat(n.currencyFormat)}(a=function(e){return a.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=a.fn.unformat(e)),new f(Number(e))}).version=\"1.6.2\",a.isNumbro=function(e){return e instanceof f},a.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;l[t]||(Object.keys(l).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),g(t)},a.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],i=null;o[t]||(r&&Object.keys(o).forEach((function(e){i||e.split(\"-\")[1]!==r||(i=e)})),t=i||n||\"en-US\"),g(t)},a.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return u;if(e&&!n){if(!l[e])throw new Error(\"Unknown language : \"+e);g(e)}return!n&&l[e]||x(e,n),a},a.culture=function(e,n){if(!e)return u;if(e&&!n){if(!o[e])throw new Error(\"Unknown culture : \"+e);g(e)}return!n&&o[e]||x(e,n),a},a.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. Use `cultureData` instead\"),!e)return l[u];if(!l[e])throw new Error(\"Unknown language : \"+e);return l[e]},a.cultureData=function(e){if(!e)return o[u];if(!o[e])throw new Error(\"Unknown culture : \"+e);return o[e]},a.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),a.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),l},a.cultures=function(){return o},a.zeroFormat=function(e){c=\"string\"==typeof e?e:null},a.defaultFormat=function(e){s=\"string\"==typeof e?e:\"0.0\"},a.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},a.validate=function(e,n){var t,r,i,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=a.cultureData(n)}catch(e){c=a.cultureData(a.culture())}return i=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,r=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===i))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(r+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,r){return null!=t&&t!==a.culture()&&a.setCulture(t),p(Number(e),null!=n?n:s,null==r?Math.round:r)}}},\n",
-       "      function _(e,n,t,r,i){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
-       "      function _(e,n,i,a,s){var r;a();const t=e(9),c=e(148),m=e(156),_=e(157),k=e(160),o=e(161),T=e(159);class w extends m.CompositeTicker{constructor(e){super(e)}}i.DatetimeTicker=w,r=w,w.__name__=\"DatetimeTicker\",r.override({num_minor_ticks:0,tickers:()=>[new c.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*T.ONE_MILLI,num_minor_ticks:0}),new c.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:T.ONE_SECOND,max_interval:30*T.ONE_MINUTE,num_minor_ticks:0}),new c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n",
-       "      function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[(0,a.sorted_index)(this.min_intervals,s)-1,(0,a.sorted_index)(this.max_intervals,s)],_=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map((t=>Math.abs(i-r/t)));let l;if((0,a.is_empty)(_.filter((t=>!isNaN(t)))))l=this.tickers[0];else{const t=n[(0,a.argmin)(_)];l=this.tickers[t]}return l}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=l,n=l,l.__name__=\"CompositeTicker\",n.define((({Array:t,Ref:e})=>({tickers:[t(e(_.ContinuousTicker)),[]]})))},\n",
-       "      function _(t,e,n,s,o){var a;s();const i=t(158),r=t(159),c=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*r.ONE_DAY:this.interval=31*r.ONE_DAY}get_ticks_no_defaults(t,e,n,s){const o=function(t,e){const n=(0,r.last_month_no_later_than)(new Date(t)),s=(0,r.last_month_no_later_than)(new Date(e));s.setUTCMonth(s.getUTCMonth()+1);const o=[],a=n;for(;o.push((0,r.copy_date)(a)),a.setUTCMonth(a.getUTCMonth()+1),!(a>s););return o}(t,e),a=this.days,i=this.interval,_=(0,c.concat)(o.map((t=>((t,e)=>{const n=t.getUTCMonth(),s=[];for(const o of a){const a=(0,r.copy_date)(t);a.setUTCDate(o),new Date(a.getTime()+e/2).getUTCMonth()==n&&s.push(a)}return s})(t,i))));return{major:_.map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.DaysTicker=_,a=_,_.__name__=\"DaysTicker\",a.define((({Int:t,Array:e})=>({days:[e(t),[]]}))),a.override({num_minor_ticks:0})},\n",
-       "      function _(e,n,t,r,i){var a;r();const l=e(149);class s extends l.ContinuousTicker{constructor(e){super(e)}get_interval(e,n,t){return this.interval}get_min_interval(){return this.interval}get_max_interval(){return this.interval}}t.SingleIntervalTicker=s,a=s,s.__name__=\"SingleIntervalTicker\",a.define((({Number:e})=>({interval:[e]})))},\n",
-       "      function _(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n",
-       "      function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n",
-       "      function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n",
-       "      function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n",
-       "      function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)<this.min_exponent){const t=new l.TextBox({text:(0,s.unicode_replace)(`${r**e}`)}),n=new l.TextBox({text:\"\"});return new l.BaseExpo(t,n)}{const t=new l.TextBox({text:(0,s.unicode_replace)(`${r}`)}),n=new l.TextBox({text:(0,s.unicode_replace)(`${e}`)});return new l.BaseExpo(t,n)}}))}_exponents(e,t){let n=null;const o=[];for(const r of e){const e=_(x(r)/x(t));if(n==e)return null;n=e,o.push(e)}return o}doFormat(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.doFormat(e,t):i.map((e=>u(e)<this.min_exponent?(0,s.unicode_replace)(`${r**e}`):(0,s.unicode_replace)(`${r}^${e}`)))}}n.LogTickFormatter=p,i=p,p.__name__=\"LogTickFormatter\",i.define((({Int:e,Ref:t,Nullable:n})=>({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n",
-       "      function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n",
-       "      function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n",
-       "      function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=a.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=a.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=l,i=l,l.__name__=\"MercatorTickFormatter\",i.define((({Nullable:r})=>({dimension:[r(s.LatLon),null]})))},\n",
-       "      function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n",
-       "      function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n",
-       "      function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n",
-       "      function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e<s.length;e+=l)_.push(s[e]);return{major:_,minor:[]}}}t.BinnedTicker=m,o=m,m.__name__=\"BinnedTicker\",o.define((({Number:e,Ref:n,Or:t,Auto:r})=>({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n",
-       "      function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(n<o.binning[0])return i;if(n>o.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n",
-       "      function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n<i;n++){const i=t[n];isNaN(i)?e[n]=s:e[n]=this.cmap(i,o,l,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}o.ContinuousColorMapper=r,l=r,r.__name__=\"ContinuousColorMapper\",l.define((({Number:t,String:e,Ref:o,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n",
-       "      function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;t<n;t++)r[t]=p(e[t]);return r}t._convert_color=p,t._convert_palette=u;class h extends c.Mapper{constructor(e){super(e)}initialize(){super.initialize(),this.metrics_change=new i.Signal0(this,\"metrics_change\")}v_compute(e){const r=new Array(e.length);return this._v_compute(e,r,this.palette,this._colors((e=>e))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n",
-       "      function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n",
-       "      function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{},line:{}},x={fill:{fill_alpha:.2},line:{}};class G extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),c=n(V,c),this.hover_glyph=await this.build_glyph_view(c),_=n(x,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e<l;e+=s)this.decimated.set(e);this.plot_view.invalidate_dataranges=!0}set_visuals(){var e,t,i,s;const l=this.model.data_source,{all_indices:h}=this;this.glyph.set_visuals(l,h),this.decimated_glyph.set_visuals(l,h),null===(e=this.selection_glyph)||void 0===e||e.set_visuals(l,h),null===(t=this.nonselection_glyph)||void 0===t||t.set_visuals(l,h),null===(i=this.hover_glyph)||void 0===i||i.set_visuals(l,h),null===(s=this.muted_glyph)||void 0===s||s.set_visuals(l,h)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let h;h=!l||l.is_empty()?[]:this.glyph instanceof o.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:n}=this.model.data_source,r=new Set((()=>!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=G,G.__name__=\"GlyphRendererView\";class R extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=R,h=R,R.__name__=\"GlyphRenderer\",h.prototype.default_view=G,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n",
-       "      function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n",
-       "      function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(421))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=h.dist_to_segment(i,l,_);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.view=this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new c.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),l=this._y):(n=this.renderer.xscale.invert(t),l=this._x);for(let e=0,t=l.length-1;e<t;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return(0,o.line_interpolation)(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){(0,o.generic_line_scalar_legend)(this.visuals,e,t)}}i.LineView=d,d.__name__=\"LineView\";class p extends r.XYGlyph{constructor(e){super(e)}}i.Line=p,_=p,p.__name__=\"Line\",_.prototype.default_view=d,_.mixins(a.LineScalar)},\n",
-       "      function _(e,t,_,s,i){s();const n=e(1);var a;const o=e(78),c=(0,n.__importStar)(e(18)),p=e(179);class r extends p.GlyphView{_project_data(){o.inplace.project_xy(this._x,this._y)}_index_data(e){const{_x:t,_y:_,data_size:s}=this;for(let i=0;i<s;i++){const s=t[i],n=_[i];e.add_point(s,n)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}_.XYGlyphView=r,r.__name__=\"XYGlyphView\";class d extends p.Glyph{constructor(e){super(e)}}_.XYGlyph=d,a=d,d.__name__=\"XYGlyph\",a.define((({})=>({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n",
-       "      function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;e<r;e++){const i=t[e],n=s.get(e)/2,r=o(i-n),_=o(i+n);a[e]=b(_-r)}else for(let e=0;e<r;e++){const i=t[e],n=o(i),r=o(i+s.get(e));a[e]=b(r-n)}return n&&(0,p.inplace_map)(a,(e=>m(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();this._set_visuals(),null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}_set_visuals(){}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e<o.length;e++)o[e]=_.v_synthetic(o[e]);let l;l=s instanceof a.CoordinateSeqSpec?f.RaggedArray.from(o,Float64Array):o,this._configure(`_${s.attr}`,{value:l})}else{const i=s.uniform(e).select(t);if(this._configure(s,{value:i}),s instanceof a.DistanceSpec){const e=i.is_Scalar()?i.value:(0,p.max)(i.array);this._configure(`max_${s.attr}`,{value:e})}}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(null!=s?s:null),null===(i=this.glglyph)||void 0===i||i.set_data_changed(),this.index_data()}_set_data(e){}get _index_size(){return this.data_size}index_data(){const e=new y.SpatialIndex(this._index_size);this._index_data(e),e.finish(),this._index=e}mask_data(){return null==this._mask_data?d.Indices.all_set(this.data_size):this._mask_data()}map_data(){var e;const t=this,{x_scale:s,y_scale:i}=this.renderer.coordinates;for(const e of this.model)if(e instanceof a.BaseCoordinateSpec){const n=\"x\"==e.dimension?s:i;let r=t[`_${e.attr}`];if(r instanceof f.RaggedArray){const e=n.v_compute(r.array);r=new f.RaggedArray(r.offsets,e)}else r=n.v_compute(r);this[`s${e.attr}`]=r}this._map_data(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_map_data(){}}s.GlyphView=w,w.__name__=\"GlyphView\";class S extends c.Model{constructor(e){super(e)}}s.Glyph=S,S.__name__=\"Glyph\"},\n",
-       "      function _(t,s,r,e,a){var n;e();const o=t(26),h=t(11);class i{constructor(t,s){this.offsets=t,this.array=s}[(n=Symbol.toStringTag,o.equals)](t,s){return s.arrays(this.offsets,t.offsets)&&s.arrays(this.array,t.array)}get length(){return this.offsets.length}clone(){return new i(this.offsets.slice(),this.array.slice())}static from(t,s){const r=t.length;let e=0;const a=(()=>{const s=new Uint32Array(r);for(let a=0;a<r;a++){const r=t[a].length;s[a]=e,e+=r}return e<256?new Uint8Array(s):e<65536?new Uint16Array(s):s})(),n=new s(e);for(let s=0;s<r;s++)n.set(t[s],a[s]);return new i(a,n)}*[Symbol.iterator](){const{offsets:t,length:s}=this;for(let r=0;r<s;r++)yield this.array.subarray(t[r],t[r+1])}_check_bounds(t){(0,h.assert)(0<=t&&t<this.length,`Out of bounds: 0 <= ${t} < ${this.length}`)}get(t){this._check_bounds(t);const{offsets:s}=this;return this.array.subarray(s[t],s[t+1])}set(t,s){this._check_bounds(t),this.array.set(s,this.offsets[t])}}r.RaggedArray=i,i.__name__=\"RaggedArray\",i[n]=\"RaggedArray\"},\n",
-       "      function _(i,t,n,e,s){e();const d=(0,i(1).__importDefault)(i(182)),o=i(24),x=i(65);function h(i,t){let n=0,e=t.length-1;for(;n<e;){const s=n+e>>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h<o;h+=4){const o=0|this._indices[h>>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];n<r||(e<l||i>a||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&s<t.x0&&(t.x0=s),o<=i.x1&&o>t.x1&&(t.x1=o),d>=i.y0&&d<t.y0&&(t.y0=d),x<=i.y1&&x>t.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n",
-       "      function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],_=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=m(_,x)}x(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_<a;_+=4){const a=0|this._indices[_>>2];i<this._boxes[_]||(e<this._boxes[_+1]||t>this._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t<s?s-t:t<=i?0:t-i}function _(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]<o);do{a--}while(t[a]>o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n",
-       "      function _(s,t,i,h,e){h();i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
-       "      function _(e,n,a,t,i){t();const l=(0,e(1).__importStar)(e(185));function r(e,n,{x0:a,x1:t,y0:i,y1:l},r){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n,r),n.restore()}function c(e,n,{x0:a,x1:t,y0:i,y1:l},r){var c,o;const _=.1*Math.abs(t-a),s=.1*Math.abs(l-i),y=a+_,p=t-_,g=i+s,h=l-s;n.beginPath(),n.rect(y,g,p-y,h-g),e.fill.apply(n,r),null===(c=e.hatch)||void 0===c||c.apply(n,r),null===(o=e.line)||void 0===o||o.apply(n,r)}a.generic_line_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n),n.restore()},a.generic_line_vector_legend=r,a.generic_line_legend=r,a.generic_area_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){var r,c;const o=.1*Math.abs(t-a),_=.1*Math.abs(l-i),s=a+o,y=t-o,p=i+_,g=l-_;n.beginPath(),n.rect(s,p,y-s,g-p),e.fill.apply(n),null===(r=e.hatch)||void 0===r||r.apply(n),null===(c=e.line)||void 0===c||c.apply(n)},a.generic_area_vector_legend=c,a.generic_area_legend=c,a.line_interpolation=function(e,n,a,t,i,r){const{sx:c,sy:o}=n;let _,s,y,p;\"point\"==n.type?([y,p]=e.yscale.r_invert(o-1,o+1),[_,s]=e.xscale.r_invert(c-1,c+1)):\"v\"==n.direction?([y,p]=e.yscale.r_invert(o,o),[_,s]=[Math.min(a-1,i-1),Math.max(a+1,i+1)]):([_,s]=e.xscale.r_invert(c,c),[y,p]=[Math.min(t-1,r-1),Math.max(t+1,r+1)]);const{x:g,y:h}=l.check_2_segments_intersect(_,y,s,p,a,t,i,r);return[g,h]}},\n",
-       "      function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];o<n!=_<n&&s+(n-o)/(_-o)*(c-s)<t&&(r=!r),s=c,o=_}return r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.dist_2_pts=s,e.dist_to_segment_squared=o,e.dist_to_segment=function(t,n,e){return Math.sqrt(o(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,u){const c=(u-s)*(e-t)-(o-r)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-s,h=t-r;const l=(e-t)*_-(i-n)*h;_=((o-r)*_-(u-s)*h)/c,h=l/c;return{hit:_>0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
-       "      function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n",
-       "      function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class d extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x1[r],n=this._x2[r],a=this._y[r];e.add_rect(t(i,n),a,s(i,n),a)}}_render(e,t,s){const{sx1:i,sx2:r,sy:n}=null!=s?s:this;e.beginPath();for(let t=0,s=i.length;t<s;t++)e.lineTo(i[t],n[t]);for(let t=r.length-1;t>=0;t--)e.lineTo(r[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}_hit_point(e){const t=this.sy.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const r=new c.Selection;return o.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.view=this),r}scenterxy(e){return[(this.sx1[e]+this.sx2[e])/2,this.sy[e]]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=d,d.__name__=\"HAreaView\";class x extends h.Area{constructor(e){super(e)}}s.HArea=x,a=x,x.__name__=\"HArea\",a.prototype.default_view=d,a.define((({})=>({x1:[l.XCoordinateSpec,{field:\"x1\"}],x2:[l.XCoordinateSpec,{field:\"x2\"}],y:[l.YCoordinateSpec,{field:\"y\"}]})))},\n",
-       "      function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n",
-       "      function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class y extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y1[r],a=this._y2[r];e.add_rect(i,t(n,a),i,s(n,a))}}_render(e,t,s){const{sx:i,sy1:r,sy2:n}=null!=s?s:this;e.beginPath();for(let t=0,s=r.length;t<s;t++)e.lineTo(i[t],r[t]);for(let t=n.length-1;t>=0;t--)e.lineTo(i[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}scenterxy(e){return[this.sx[e],(this.sy1[e]+this.sy2[e])/2]}_hit_point(e){const t=this.sx.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const r=new c.Selection;return o.point_in_poly(e.sx,e.sy,s,i)&&(r.add_to_selected_glyphs(this.model),r.view=this),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=y,y.__name__=\"VAreaView\";class d extends h.Area{constructor(e){super(e)}}s.VArea=d,a=d,d.__name__=\"VArea\",a.prototype.default_view=y,a.define((({})=>({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))},\n",
-       "      function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;e<this._indices.length;e++)this.indices_map[this._indices[e]]=e}convert_selection_from_subset(e){return e.map((e=>this._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n",
-       "      function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n",
-       "      function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n",
-       "      function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.use_strict)(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n",
-       "      function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n",
-       "      function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n",
-       "      function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n",
-       "      function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n",
-       "      function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;e<l;e++)if(n[e]!==t[e])return!1;return!0}e._cat_equals=f,e.cat_v_compute=function(n,t,e,l,i,o,r){const _=n.length;for(let g=0;g<_;g++){let _,s,h=n[g];(0,u.isString)(h)?_=(0,c.index_of)(t,h):(null!=i?h=null!=o?h.slice(i,o):h.slice(i):null!=o&&(h=h.slice(0,o)),_=1==h.length?(0,c.index_of)(t,h[0]):(0,c.find_index)(t,(n=>f(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n",
-       "      function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n",
-       "      function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n",
-       "      function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n",
-       "      function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(o<l.min)return n;const s=Math.log(o)-Math.log(l.min);let e=Math.floor(s*l.scale);return e>a&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n",
-       "      function _(n,t,e,i,o){var s;i();const r=n(171),a=n(12),l=n(9),c=n(19);class h extends r.ScanningColorMapper{constructor(n){super(n)}scan(n,t){const e=null!=this.low?this.low:(0,a.min)(n),i=null!=this.high?this.high:(0,a.max)(n),o=this.bins,s=(0,l.linspace)(e,i,o+1),r=(0,a.bin_counts)(n,s),h=new Array(o);for(let n=0,t=s.length;n<t-1;n++){const t=s[n],e=s[n+1];h[n]=(t+e)/2}const g=(0,l.cumsum)(r),p=g[g.length-1],u=(0,a.map)(g,(n=>n/p));let m=t-1,f=[],M=0,_=2*t;for(;m!=t&&M<4&&0!=m;){const n=_/m;if(n>1e3)break;_=Math.round(Math.max(t*n,t));const e=(0,l.range)(0,_),i=(0,a.map)(u,(n=>n*(_-1)));f=(0,a.interpolate)(e,i,h);m=(0,l.uniq)(f).length-1,M++}if(0==m){f=[e,i];for(let n=0;n<t-1;n++)f.push(i)}else f=f.slice(f.length-t-1),m!=t&&c.logger.warn(\"EqHistColorMapper warning: Histogram equalization did not converge.\");return f[0]=e,f[f.length-1]=i,{min:e,max:i,binning:f}}}e.EqHistColorMapper=h,s=h,h.__name__=\"EqHistColorMapper\",s.define((({Int:n})=>({bins:[n,65536]})))},\n",
-       "      function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n",
-       "      function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e<s;e++)_[e]=n+e*o;const l=(0,c.map)(e,(e=>{if(e<a)return a;if(e>i)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n",
-       "      function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n",
-       "      function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n",
-       "      function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n",
-       "      function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s<n;s++){const e=(()=>{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t<l;t++){const i=(()=>{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t<s;t++){const i=o[t];c[t]=\"fixed\"==i.policy?i.height:0}const p=new Array(e);for(let t=0;t<e;t++){const i=l[t];p[t]=\"fixed\"==i.policy?i.width:0}const _=new f;i.foreach(((i,s)=>{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:h-=r.row_heights[t]}if(h-=(i-1)*n,0!=p&&h>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(h*(i.flex/p));h-=s,r.row_heights[t]=s,p-=i.flex}}else if(h<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-h;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=r.row_heights[o],e=g(s/t);r.row_heights[o]=a(i-e,0),s-=e>i?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?f+=i.flex:c-=r.col_widths[t]}if(c-=(s-1)*l,0!=f&&c>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(c*(i.flex/f));c-=s,r.col_widths[t]=s,f-=i.flex}}else if(c<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-c;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=r.col_widths[e],o=g(i/t);r.col_widths[e]=a(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=f[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=_[i];t.left=s,s+=t.width+n}d.foreach((({r0:t,c0:i,r1:s,c1:e},l)=>{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n",
-       "      function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n",
-       "      function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n",
-       "      function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n",
-       "      function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s<i;s++){const i=this.x_offset.get(s),l=this.y_offset.get(s),o=this.sx[s]+i,a=this.sy[s]-l,r=this.angle.get(s);t(e,s,this.text.get(s),o,a,r)}}_v_canvas_text(t,e,s,i,l,o){const a=new c.TextBox({text:s});a.angle=o,a.position={sx:i,sy:l},a.visuals=this.visuals.text.values(e);const{background_fill:r,border_line:n}=this.visuals;if(r.doit||n.doit){const{p0:s,p1:i,p2:l,p3:o}=a.rect();t.beginPath(),t.moveTo(s.x,s.y),t.lineTo(i.x,i.y),t.lineTo(l.x,l.y),t.lineTo(o.x,o.y),t.closePath(),this.visuals.background_fill.apply(t,e),this.visuals.border_line.apply(t,e)}this.visuals.text.doit&&a.paint(t)}_v_css_text(t,e,s,i,l,o){(0,u.assert)(null!=this.els);const a=this.els[e];a.textContent=s,this.visuals.text.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=`${i}px`,a.style.top=`${l}px`,a.style.color=t.fillStyle,a.style.font=t.font,a.style.lineHeight=\"normal\",a.style.whiteSpace=\"pre\";const[r,n]=(()=>{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n",
-       "      function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n",
-       "      function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n",
-       "      function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n",
-       "      function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t<e;t++)i.lineTo(r[t],_[t]);i.closePath(),this.visuals.fill.apply(i),this.visuals.hatch.apply(i),this.visuals.line.apply(i)}}e.PolyAnnotationView=_,_.__name__=\"PolyAnnotationView\";class h extends l.Annotation{constructor(t){super(t)}update({xs:t,ys:n}){this.setv({xs:t,ys:n,screen:!0},{check_eq:!1})}}e.PolyAnnotation=h,a=h,h.__name__=\"PolyAnnotation\",a.prototype.default_view=_,a.mixins([c.Line,c.Fill,c.Hatch]),a.define((({Number:t,Array:n})=>({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n",
-       "      function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n",
-       "      function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n",
-       "      function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n",
-       "      function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n",
-       "      function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n",
-       "      function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n",
-       "      function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n",
-       "      function _(t,e,i,n,r){\n",
-       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
-       "           * http://hammerjs.github.io/\n",
-       "           *\n",
-       "           * Copyright (c) 2016 Jorik Tangelder;\n",
-       "           * Licensed under the MIT license */\n",
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nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return 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bt=32;function Pt(t){this.options=s({},this.defaults,t||{}),this.id=w++,this.manager=null,this.options.enable=E(this.options.enable,!0),this.state=1,this.simultaneous={},this.requireFail=[]}function Dt(t){return 16&t?\"cancel\":8&t?\"end\":4&t?\"move\":2&t?\"start\":\"\"}function xt(t){return 16==t?\"down\":8==t?\"up\":2==t?\"left\":4==t?\"right\":\"\"}function wt(t,e){var i=e.manager;return i?i.get(t):t}function Ot(){Pt.apply(this,arguments)}function Rt(){Ot.apply(this,arguments),this.pX=null,this.pY=null}function Mt(){Ot.apply(this,arguments)}function zt(){Pt.apply(this,arguments),this._timer=null,this._input=null}function Nt(){Ot.apply(this,arguments)}function Xt(){Ot.apply(this,arguments)}function Yt(){Pt.apply(this,arguments),this.pTime=!1,this.pCenter=!1,this._timer=null,this._input=null,this.count=0}function Ft(t,e){return(e=e||{}).recognizers=E(e.recognizers,Ft.defaults.preset),new Wt(t,e)}Pt.prototype={defaults:{},set:function(t){return 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e=this.options,i=t.pointers.length===e.pointers,n=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(n&&r&&i){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||j(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return bt},failTimeout:function(){return 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St(this,this.options.touchAction),qt(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function qt(t,e){var i,n=t.element;n.style&&(f(t.options.cssProps,(function(r,s){i=x(n.style,s),e?(t.oldCssProps[i]=n.style[i],n.style[i]=r):n.style[i]=t.oldCssProps[i]||\"\"})),e||(t.oldCssProps={}))}Wt.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var i;this.touchAction.preventDefaults(t);var n=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<n.length;)i=n[s],2===e.stopped||r&&i!=r&&!i.canRecognizeWith(r)?i.reset():i.recognize(t),!r&&14&i.state&&(r=e.curRecognizer=i),s++}},get:function(t){if(t instanceof Pt)return t;for(var e=this.recognizers,i=0;i<e.length;i++)if(e[i].options.event==t)return e[i];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,i=b(e,t);-1!==i&&(e.splice(i,1),this.touchAction.update())}return this},on:function(t,e){if(t!==r&&e!==r){var i=this.handlers;return f(S(t),(function(t){i[t]=i[t]||[],i[t].push(e)})),this}},off:function(t,e){if(t!==r){var i=this.handlers;return f(S(t),(function(t){e?i[t]&&i[t].splice(b(i[t],e),1):delete i[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var n=i.createEvent(\"Event\");n.initEvent(t,!0,!0),n.gesture=e,e.target.dispatchEvent(n)}(t,e);var n=this.handlers[t]&&this.handlers[t].slice();if(n&&n.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<n.length;)n[r](e),r++}},destroy:function(){this.element&&qt(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(Ft,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:bt,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:Y,DIRECTION_ALL:30,Manager:Wt,Input:q,TouchAction:St,TouchInput:ct,MouseInput:J,PointerEventInput:it,TouchMouseInput:pt,SingleTouchInput:ot,Recognizer:Pt,AttrRecognizer:Ot,Tap:Yt,Pan:Rt,Swipe:Xt,Pinch:Mt,Rotate:Nt,Press:zt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:T,prefixed:x}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=Ft,\"function\"==typeof define&&define.amd?define((function(){return Ft})):void 0!==e&&e.exports?e.exports=Ft:t.Hammer=Ft}(window,document)},\n",
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-       "      function _(o,t,b,r,e){r(),b.root=\"bk-root\",b.toolbar_hidden=\"bk-toolbar-hidden\",b.toolbar=\"bk-toolbar\",b.logo=\"bk-logo\",b.above=\"bk-above\",b.below=\"bk-below\",b.left=\"bk-left\",b.right=\"bk-right\",b.toolbar_button=\"bk-toolbar-button\",b.tool_overflow=\"bk-tool-overflow\",b.active=\"bk-active\",b.divider=\"bk-divider\",b.horizontal=\"bk-horizontal\",b.vertical=\"bk-vertical\",b.default='.bk-root .bk-toolbar-hidden{visibility:hidden;opacity:0;transition:visibility 0.3s linear, opacity 0.3s linear;}.bk-root .bk-toolbar{display:flex;flex-wrap:nowrap;align-items:center;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-toolbar .bk-logo{flex-shrink:0;}.bk-root .bk-toolbar.bk-above,.bk-root .bk-toolbar.bk-below{flex-direction:row;justify-content:flex-end;}.bk-root .bk-toolbar.bk-above .bk-logo,.bk-root .bk-toolbar.bk-below .bk-logo{order:1;margin-left:5px;margin-right:0px;}.bk-root .bk-toolbar.bk-left,.bk-root .bk-toolbar.bk-right{flex-direction:column;justify-content:flex-start;}.bk-root .bk-toolbar.bk-left .bk-logo,.bk-root .bk-toolbar.bk-right .bk-logo{order:0;margin-bottom:5px;margin-top:0px;}.bk-root .bk-toolbar-button{width:30px;height:30px;cursor:pointer;background-size:60% 60%;background-origin:border-box;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-toolbar-button:hover,.bk-root .bk-tool-overflow:hover{background-color:rgba(192, 192, 192, 0.15);}.bk-root .bk-toolbar-button:focus,.bk-root .bk-tool-overflow:focus,.bk-root .bk-toolbar-button:focus-visible,.bk-root .bk-tool-overflow:focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-toolbar-button::-moz-focus-inner,.bk-root .bk-tool-overflow::-moz-focus-inner{border:0;}.bk-root .bk-above .bk-toolbar-button{border-bottom:2px solid transparent;}.bk-root .bk-above .bk-toolbar-button.bk-active{border-bottom-color:#26aae1;}.bk-root .bk-below .bk-toolbar-button{border-top:2px solid transparent;}.bk-root .bk-below .bk-toolbar-button.bk-active{border-top-color:#26aae1;}.bk-root .bk-right .bk-toolbar-button{border-left:2px solid transparent;}.bk-root .bk-right .bk-toolbar-button.bk-active{border-left-color:#26aae1;}.bk-root .bk-left .bk-toolbar-button{border-right:2px solid transparent;}.bk-root .bk-left .bk-toolbar-button.bk-active{border-right-color:#26aae1;}.bk-root .bk-divider{content:\" \";display:inline-block;background-color:lightgray;}.bk-root .bk-above .bk-divider,.bk-root .bk-below .bk-divider{height:10px;width:1px;}.bk-root .bk-left .bk-divider,.bk-root .bk-right .bk-divider{height:1px;width:10px;}.bk-root .bk-tool-overflow{color:gray;display:flex;align-items:center;}.bk-root .bk-above .bk-tool-overflow,.bk-root .bk-below .bk-tool-overflow,.bk-root .bk-horizontal .bk-tool-overflow{width:15px;height:30px;flex-direction:row;}.bk-root .bk-left .bk-tool-overflow,.bk-root .bk-right .bk-tool-overflow,.bk-root .bk-vertical .bk-tool-overflow{width:30px;height:15px;flex-direction:column;}'},\n",
-       "      function _(A,g,o,C,l){C(),o.root=\"bk-root\",o.tool_icon_copy_to_clipboard=\"bk-tool-icon-copy-to-clipboard\",o.tool_icon_replace_mode=\"bk-tool-icon-replace-mode\",o.tool_icon_append_mode=\"bk-tool-icon-append-mode\",o.tool_icon_intersect_mode=\"bk-tool-icon-intersect-mode\",o.tool_icon_subtract_mode=\"bk-tool-icon-subtract-mode\",o.tool_icon_clear_selection=\"bk-tool-icon-clear-selection\",o.tool_icon_box_select=\"bk-tool-icon-box-select\",o.tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",o.tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",o.tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",o.tool_icon_help=\"bk-tool-icon-help\",o.tool_icon_hover=\"bk-tool-icon-hover\",o.tool_icon_crosshair=\"bk-tool-icon-crosshair\",o.tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",o.tool_icon_pan=\"bk-tool-icon-pan\",o.tool_icon_xpan=\"bk-tool-icon-xpan\",o.tool_icon_ypan=\"bk-tool-icon-ypan\",o.tool_icon_range=\"bk-tool-icon-range\",o.tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",o.tool_icon_redo=\"bk-tool-icon-redo\",o.tool_icon_reset=\"bk-tool-icon-reset\",o.tool_icon_save=\"bk-tool-icon-save\",o.tool_icon_tap_select=\"bk-tool-icon-tap-select\",o.tool_icon_undo=\"bk-tool-icon-undo\",o.tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",o.tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",o.tool_icon_box_edit=\"bk-tool-icon-box-edit\",o.tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",o.tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",o.tool_icon_point_draw=\"bk-tool-icon-point-draw\",o.tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",o.tool_icon_line_edit=\"bk-tool-icon-line-edit\",o.default='.bk-root 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-       "      function _(o,t,e,r,b){r(),e.root=\"bk-root\",e.menu_icon=\"bk-menu-icon\",e.context_menu=\"bk-context-menu\",e.horizontal=\"bk-horizontal\",e.vertical=\"bk-vertical\",e.divider=\"bk-divider\",e.active=\"bk-active\",e.menu=\"bk-menu\",e.above=\"bk-above\",e.below=\"bk-below\",e.caret=\"bk-caret\",e.down=\"bk-down\",e.up=\"bk-up\",e.left=\"bk-left\",e.right=\"bk-right\",e.default=\".bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n",
-       "      function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n",
-       "      function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n",
-       "      function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n",
-       "      function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.every)(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=A,a=A,A.__name__=\"ToolbarBase\",a.prototype.default_view=$,a.define((({Boolean:t,Array:o,Ref:e,Nullable:l})=>({tools:[o(e(w.Tool)),[]],logo:[l(u.Logo),\"normal\"],autohide:[t,!1]}))),a.internal((({Array:t,Struct:o,Ref:e,Nullable:l})=>{const i=o({tools:t(e(y.GestureTool)),active:l(e(w.Tool))});return{gestures:[o({pan:i,scroll:i,pinch:i,tap:i,doubletap:i,press:i,pressup:i,rotate:i,move:i,multi:i}),V],actions:[t(e(T.ActionTool)),[]],inspectors:[t(e(x.InspectTool)),[]],help:[t(e(z.HelpTool)),[]],toolbar_location:[u.Location,\"right\"]}}))},\n",
-       "      function _(n,o,e,t,f){t();const r=n(9);function*i(n,o){const e=n.length;if(o>e)return;const t=(0,r.range)(o);for(yield t.map((o=>n[o]));;){let f;for(const n of(0,r.reversed)((0,r.range)(o)))if(t[n]!=n+e-o){f=n;break}if(null==f)return;t[f]+=1;for(const n of(0,r.range)(f+1,o))t[n]=t[n-1]+1;yield t.map((o=>n[o]))}}e.enumerate=function*(n){let o=0;for(const e of n)yield[e,o++]},e.join=function*(n,o){let e=!0;for(const t of n)e?e=!1:null!=o&&(yield o()),yield*t},e.combinations=i,e.subsets=function*(n){for(const o of(0,r.range)(n.length+1))yield*i(n,o)}},\n",
-       "      function _(t,e,s,i,n){i();const o=t(236),a=t(65),r=t(43);function h(t){!function(t){void 0===t.lineDash&&Object.defineProperty(t,\"lineDash\",{get:()=>t.getLineDash(),set:e=>t.setLineDash(e)})}(t),function(t){t.setImageSmoothingEnabled=e=>{t.imageSmoothingEnabled=e,t.mozImageSmoothingEnabled=e,t.oImageSmoothingEnabled=e,t.webkitImageSmoothingEnabled=e,t.msImageSmoothingEnabled=e},t.getImageSmoothingEnabled=()=>{const e=t.imageSmoothingEnabled;return null==e||e}}(t),function(t){t.ellipse||(t.ellipse=function(e,s,i,n,o,a,r,h=!1){const l=.551784;t.translate(e,s),t.rotate(o);let c=i,g=n;h&&(c=-i,g=-n),t.moveTo(-c,0),t.bezierCurveTo(-c,g*l,-c*l,g,0,g),t.bezierCurveTo(c*l,g,c,g*l,c,0),t.bezierCurveTo(c,-g*l,c*l,-g,0,-g),t.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),t.rotate(-o),t.translate(-e,-s)})}(t)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(t,e){switch(this.backend=t,this.hidpi=e,this.pixel_ratio=1,this.bbox=new a.BBox,t){case\"webgl\":case\"canvas\":{this._el=this._canvas=(0,r.canvas)({style:l});const t=this.canvas.getContext(\"2d\");if(null==t)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=t,e&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const t=new o.SVGRenderingContext2D;this._ctx=t,this._canvas=t.get_svg(),this._el=(0,r.div)({style:l},this._canvas);break}}this._ctx.layer=this,h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(t,e){this.bbox=new a.BBox({left:0,top:0,width:t,height:e});const s=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;s.width=t*this.pixel_ratio,s.height=e*this.pixel_ratio}undo_transform(t){const{ctx:e}=this;if(void 0===e.getTransform)t(e);else{const s=e.getTransform();e.setTransform(this._base_transform);try{t(e)}finally{e.setTransform(s)}}}prepare(){const{ctx:t,hidpi:e,pixel_ratio:s}=this;t.save(),e&&(t.scale(s,s),t.translate(.5,.5)),void 0!==t.getTransform&&(this._base_transform=t.getTransform()),this.clear()}clear(){const{x:t,y:e,width:s,height:i}=this.bbox;this.ctx.clearRect(t,e,s,i)}finish(){this.ctx.restore()}to_blob(){const{_canvas:t}=this;if(t instanceof HTMLCanvasElement)return null!=t.msToBlob?Promise.resolve(t.msToBlob()):new Promise(((e,s)=>{t.toBlob((t=>null!=t?e(t):s()),\"image/png\")}));{const t=this._ctx.get_serialized_svg(!0),e=new Blob([t],{type:\"image/svg+xml\"});return Promise.resolve(e)}}}s.CanvasLayer=c,c.__name__=\"CanvasLayer\"},\n",
-       "      function _(t,e,i,s,r){s();const n=t(122),a=t(8),o=t(237),l=t(43);function h(t){var e;const i={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return null!==(e=i[t])&&void 0!==e?e:i.start}function _(t){var e;const i={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return null!==(e=i[t])&&void 0!==e?e:i.alphabetic}const c=function(t,e){const i=new Map,s=t.split(\",\");e=null!=e?e:10;for(let t=0;t<s.length;t+=2){const r=`&${s[t+1]};`,n=parseInt(s[t],e);i.set(r,`&#${n};`)}return i.set(\"\\\\xa0\",\"&#160;\"),i}(\"50,nbsp,51,iexcl,52,cent,53,pound,54,curren,55,yen,56,brvbar,57,sect,58,uml,59,copy,5a,ordf,5b,laquo,5c,not,5d,shy,5e,reg,5f,macr,5g,deg,5h,plusmn,5i,sup2,5j,sup3,5k,acute,5l,micro,5m,para,5n,middot,5o,cedil,5p,sup1,5q,ordm,5r,raquo,5s,frac14,5t,frac12,5u,frac34,5v,iquest,60,Agrave,61,Aacute,62,Acirc,63,Atilde,64,Auml,65,Aring,66,AElig,67,Ccedil,68,Egrave,69,Eacute,6a,Ecirc,6b,Euml,6c,Igrave,6d,Iacute,6e,Icirc,6f,Iuml,6g,ETH,6h,Ntilde,6i,Ograve,6j,Oacute,6k,Ocirc,6l,Otilde,6m,Ouml,6n,times,6o,Oslash,6p,Ugrave,6q,Uacute,6r,Ucirc,6s,Uuml,6t,Yacute,6u,THORN,6v,szlig,70,agrave,71,aacute,72,acirc,73,atilde,74,auml,75,aring,76,aelig,77,ccedil,78,egrave,79,eacute,7a,ecirc,7b,euml,7c,igrave,7d,iacute,7e,icirc,7f,iuml,7g,eth,7h,ntilde,7i,ograve,7j,oacute,7k,ocirc,7l,otilde,7m,ouml,7n,divide,7o,oslash,7p,ugrave,7q,uacute,7r,ucirc,7s,uuml,7t,yacute,7u,thorn,7v,yuml,ci,fnof,sh,Alpha,si,Beta,sj,Gamma,sk,Delta,sl,Epsilon,sm,Zeta,sn,Eta,so,Theta,sp,Iota,sq,Kappa,sr,Lambda,ss,Mu,st,Nu,su,Xi,sv,Omicron,t0,Pi,t1,Rho,t3,Sigma,t4,Tau,t5,Upsilon,t6,Phi,t7,Chi,t8,Psi,t9,Omega,th,alpha,ti,beta,tj,gamma,tk,delta,tl,epsilon,tm,zeta,tn,eta,to,theta,tp,iota,tq,kappa,tr,lambda,ts,mu,tt,nu,tu,xi,tv,omicron,u0,pi,u1,rho,u2,sigmaf,u3,sigma,u4,tau,u5,upsilon,u6,phi,u7,chi,u8,psi,u9,omega,uh,thetasym,ui,upsih,um,piv,812,bull,816,hellip,81i,prime,81j,Prime,81u,oline,824,frasl,88o,weierp,88h,image,88s,real,892,trade,89l,alefsym,8cg,larr,8ch,uarr,8ci,rarr,8cj,darr,8ck,harr,8dl,crarr,8eg,lArr,8eh,uArr,8ei,rArr,8ej,dArr,8ek,hArr,8g0,forall,8g2,part,8g3,exist,8g5,empty,8g7,nabla,8g8,isin,8g9,notin,8gb,ni,8gf,prod,8gh,sum,8gi,minus,8gn,lowast,8gq,radic,8gt,prop,8gu,infin,8h0,ang,8h7,and,8h8,or,8h9,cap,8ha,cup,8hb,int,8hk,there4,8hs,sim,8i5,cong,8i8,asymp,8j0,ne,8j1,equiv,8j4,le,8j5,ge,8k2,sub,8k3,sup,8k4,nsub,8k6,sube,8k7,supe,8kl,oplus,8kn,otimes,8l5,perp,8m5,sdot,8o8,lceil,8o9,rceil,8oa,lfloor,8ob,rfloor,8p9,lang,8pa,rang,9ea,loz,9j0,spades,9j3,clubs,9j5,hearts,9j6,diams,ai,OElig,aj,oelig,b0,Scaron,b1,scaron,bo,Yuml,m6,circ,ms,tilde,802,ensp,803,emsp,809,thinsp,80c,zwnj,80d,zwj,80e,lrm,80f,rlm,80j,ndash,80k,mdash,80o,lsquo,80p,rsquo,80q,sbquo,80s,ldquo,80t,rdquo,80u,bdquo,810,dagger,811,Dagger,81g,permil,81p,lsaquo,81q,rsaquo,85c,euro\",32),p={strokeStyle:{svgAttr:\"stroke\",canvas:\"#000000\",svg:\"none\",apply:\"stroke\"},fillStyle:{svgAttr:\"fill\",canvas:\"#000000\",svg:null,apply:\"fill\"},lineCap:{svgAttr:\"stroke-linecap\",canvas:\"butt\",svg:\"butt\",apply:\"stroke\"},lineJoin:{svgAttr:\"stroke-linejoin\",canvas:\"miter\",svg:\"miter\",apply:\"stroke\"},miterLimit:{svgAttr:\"stroke-miterlimit\",canvas:10,svg:4,apply:\"stroke\"},lineWidth:{svgAttr:\"stroke-width\",canvas:1,svg:1,apply:\"stroke\"},globalAlpha:{svgAttr:\"opacity\",canvas:1,svg:1,apply:\"fill 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-       "      function _(e,t,s,n,r){n();const o=2147483647;class i{constructor(e){this.seed=e%o,this.seed<=0&&(this.seed+=2147483646)}integer(){return this.seed=48271*this.seed%o,this.seed}float(){return(this.integer()-1)/2147483646}floats(e,t=0,s=1){const n=new Array(e);for(let r=0;r<e;r++)n[r]=t+this.float()*(s-t);return n}choices(e,t){const s=t.length,n=new Array(e);for(let r=0;r<e;r++)n[r]=t[this.integer()%s];return n}}s.Random=i,i.__name__=\"Random\",s.random=new i(Date.now())},\n",
-       "      function _(o,t,n,i,e){i();const s=o(224),c=o(15);class l extends s.ButtonToolButtonView{_clicked(){this.model.do.emit(void 0)}}n.ActionToolButtonView=l,l.__name__=\"ActionToolButtonView\";class _ extends s.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,(o=>this.doit(o)))}}n.ActionToolView=_,_.__name__=\"ActionToolView\";class d extends s.ButtonTool{constructor(o){super(o),this.button_view=l,this.do=new c.Signal(this,\"do\")}}n.ActionTool=d,d.__name__=\"ActionTool\"},\n",
-       "      function _(o,e,t,l,i){var s;l();const n=o(238),r=o(228);class c extends n.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=c,c.__name__=\"HelpToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=r.tool_icon_help}}t.HelpTool=_,s=_,_.__name__=\"HelpTool\",s.prototype.default_view=c,s.define((({String:o})=>({redirect:[o,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}))),s.override({description:\"Click the question mark to learn more about Bokeh plot tools.\"}),s.register_alias(\"help\",(()=>new _))},\n",
-       "      function _(o,l,g,A,r){A(),g.root=\"bk-root\",g.logo=\"bk-logo\",g.grey=\"bk-grey\",g.logo_small=\"bk-logo-small\",g.logo_notebook=\"bk-logo-notebook\",g.default=\".bk-root .bk-logo{margin:5px;position:relative;display:block;background-repeat:no-repeat;}.bk-root .bk-logo.bk-grey{filter:url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n",
-       "      function _(e,t,s,i,l){i();const o=e(1);var n;const a=e(40),h=e(20),r=e(43),c=(0,o.__importStar)(e(242)),d=c;class p extends a.AnnotationView{initialize(){super.initialize(),this.el=(0,r.div)({class:d.tooltip}),(0,r.undisplay)(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){(0,r.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),c.default]}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{content:e}=this.model;null!=e?((0,r.empty)(this.el),(0,r.classes)(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(e),this.model.show_arrow&&this.el.classList.add(d.tooltip_arrow)):(0,r.undisplay)(this.el)}_reposition(){const{position:e}=this.model;if(null==e)return void(0,r.undisplay)(this.el);const[t,s]=e,i=(()=>{const e=this.parent.layout.bbox.relative(),{attachment:i}=this.model;switch(i){case\"horizontal\":return t<e.hcenter?\"right\":\"left\";case\"vertical\":return s<e.vcenter?\"below\":\"above\";default:return i}})();let l;this.el.classList.remove(d.right),this.el.classList.remove(d.left),this.el.classList.remove(d.above),this.el.classList.remove(d.below),(0,r.display)(this.el);let o=null,n=null;switch(i){case\"right\":this.el.classList.add(d.left),o=t+(this.el.offsetWidth-this.el.clientWidth)+10,l=s-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(d.right),n=this.plot_view.layout.bbox.width-t+10,l=s-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(d.above),l=s+(this.el.offsetHeight-this.el.clientHeight)+10,o=Math.round(t-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(d.below),l=s-this.el.offsetHeight-10,o=Math.round(t-this.el.offsetWidth/2)}this.el.style.top=`${l}px`,this.el.style.left=null!=o?`${o}px`:\"auto\",this.el.style.right=null!=n?`${n}px`:\"auto\"}}s.TooltipView=p,p.__name__=\"TooltipView\";class u extends a.Annotation{constructor(e){super(e)}clear(){this.position=null}}s.Tooltip=u,n=u,u.__name__=\"Tooltip\",n.prototype.default_view=p,n.define((({Boolean:e})=>({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[e,!0],show_arrow:[e,!0]}))),n.internal((({Boolean:e,Number:t,Tuple:s,Ref:i,Nullable:l})=>({position:[l(s(t,t)),null],content:[i(HTMLElement),()=>(0,r.div)()],custom:[e]}))),n.override({level:\"overlay\"})},\n",
-       "      function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n",
-       "      function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.lower_head.render(e,s),e.restore();if(null!=this.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.upper_head.render(e,s),e.restore()}}s.WhiskerView=n,n.__name__=\"WhiskerView\";class d extends l.UpperLower{constructor(e){super(e)}}s.Whisker=d,a=d,d.__name__=\"Whisker\",a.prototype.default_view=n,a.mixins(o.LineVector),a.define((({Ref:e,Nullable:t})=>({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n",
-       "      function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n",
-       "      function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n",
-       "      function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n",
-       "      function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n",
-       "      function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n",
-       "      function _(e,t,i,s,a){var r,l=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&l(t,e,i);return n(t,e),t};s();const h=e(14),c=e(226),u=e(19),_=e(43),d=e(20),p=e(13),b=e(250),v=e(65),g=e(138),w=e(235);const y=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,g.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};u.logger.trace(\"WebGL is supported, but not the required extensions\")}else u.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else u.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class f extends c.DOMView{constructor(){super(...arguments),this.bbox=new v.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,_.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,_.div)({style:m}),this.events_el=(0,_.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,p.extend)(this.el.style,m),(0,_.append)(this.el,...e),this.ui_event_bus=new b.UIEventBus(this)}async lazy_initialize(){await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await y())}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new v.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,r,l,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(r+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*l,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(u.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new w.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=f,f.__name__=\"CanvasView\";class x extends h.HasProps{constructor(e){super(e)}}i.Canvas=x,r=x,x.__name__=\"Canvas\",r.prototype.default_view=f,r.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[d.OutputBackend,\"canvas\"]})))},\n",
-       "      function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n",
-       "      function _(e,t,s,n,_){n();var a=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function o(e){return function(t){t.prototype.event_name=e}}class r{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=r,r.__name__=\"BokehEvent\";class c extends r{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=c,c.__name__=\"ModelEvent\";let l=class extends r{_to_json(){return{}}};s.DocumentReady=l,l.__name__=\"DocumentReady\",s.DocumentReady=l=a([o(\"document_ready\")],l);let i=class extends c{};s.ButtonClick=i,i.__name__=\"ButtonClick\",s.ButtonClick=i=a([o(\"button_click\")],i);let u=class extends c{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends c{}s.UIEvent=d,d.__name__=\"UIEvent\";let m=class extends d{};s.LODStart=m,m.__name__=\"LODStart\",s.LODStart=m=a([o(\"lodstart\")],m);let h=class extends d{};s.LODEnd=h,h.__name__=\"LODEnd\",s.LODEnd=h=a([o(\"lodend\")],h);let p=class extends d{constructor(e,t,s,n){super(),this.x0=e,this.x1=t,this.y0=s,this.y1=n}_to_json(){const{x0:e,x1:t,y0:s,y1:n}=this;return Object.assign(Object.assign({},super._to_json()),{x0:e,x1:t,y0:s,y1:n})}};s.RangesUpdate=p,p.__name__=\"RangesUpdate\",s.RangesUpdate=p=a([o(\"rangesupdate\")],p);let x=class extends d{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,n),this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=P,P.__name__=\"Pinch\",s.Pinch=P=a([o(\"pinch\")],P);let O=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=O,O.__name__=\"Rotate\",s.Rotate=O=a([o(\"rotate\")],O);let b=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=b,b.__name__=\"MouseWheel\",s.MouseWheel=b=a([o(\"wheel\")],b);let v=class extends y{};s.MouseMove=v,v.__name__=\"MouseMove\",s.MouseMove=v=a([o(\"mousemove\")],v);let E=class extends y{};s.MouseEnter=E,E.__name__=\"MouseEnter\",s.MouseEnter=E=a([o(\"mouseenter\")],E);let R=class extends y{};s.MouseLeave=R,R.__name__=\"MouseLeave\",s.MouseLeave=R=a([o(\"mouseleave\")],R);let M=class extends y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n",
-       "      function _(t,e,n,l,o){\n",
-       "      /*!\n",
-       "           * jQuery Mousewheel 3.1.13\n",
-       "           *\n",
-       "           * Copyright jQuery Foundation and other contributors\n",
-       "           * Released under the MIT license\n",
-       "           * http://jquery.org/license\n",
-       "           */\n",
-       "      function u(t){const e=getComputedStyle(t).fontSize;return null!=e?parseInt(e,10):null}l(),n.getDeltaY=function(t){let e=-t.deltaY;if(t.target instanceof HTMLElement)switch(t.deltaMode){case t.DOM_DELTA_LINE:e*=(n=t.target,null!==(a=null!==(o=u(null!==(l=n.offsetParent)&&void 0!==l?l:document.body))&&void 0!==o?o:u(n))&&void 0!==a?a:16);break;case t.DOM_DELTA_PAGE:e*=function(t){return t.clientHeight}(t.target)}var n,l,o,a;return e}},\n",
-       "      function _(m,o,n,r,a){r(),a(\"Expression\",m(254).Expression),a(\"CustomJSExpr\",m(255).CustomJSExpr),a(\"Stack\",m(256).Stack),a(\"CumSum\",m(257).CumSum),a(\"ScalarExpression\",m(254).ScalarExpression),a(\"Minimum\",m(258).Minimum),a(\"Maximum\",m(259).Maximum);var s=m(260);a(\"XComponent\",s.XComponent),a(\"YComponent\",s.YComponent),a(\"PolarTransform\",m(261).PolarTransform)},\n",
-       "      function _(e,t,s,i,r){i();const n=e(53);class _ extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._result=new Map}v_compute(e){let t=this._result.get(e);return(void 0===t||e.changed_for(this))&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=_,_.__name__=\"Expression\";class o extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._result=new Map}compute(e){let t=this._result.get(e);return(void 0===t||e.changed_for(this))&&(t=this._compute(e),this._result.set(e,t)),t}}s.ScalarExpression=o,o.__name__=\"ScalarExpression\"},\n",
-       "      function _(e,s,t,n,r){var a;n();const o=e(14),c=e(254),i=e(24),u=e(9),l=e(13),h=e(34),g=e(8);class p extends c.Expression{constructor(e){super(e)}connect_signals(){super.connect_signals();for(const e of(0,l.values)(this.args))e instanceof o.HasProps&&e.change.connect((()=>{this._result.clear(),this.change.emit()}))}get names(){return(0,l.keys)(this.args)}get values(){return(0,l.values)(this.args)}get func(){const e=(0,h.use_strict)(this.code);return new i.GeneratorFunction(...this.names,e)}_v_compute(e){const s=this.func.apply(e,this.values);let t=s.next();if(t.done&&void 0!==t.value){const{value:s}=t;return(0,g.isArray)(s)||(0,g.isTypedArray)(s)?s:(0,g.isIterable)(s)?[...s]:(0,u.repeat)(s,e.length)}{const e=[];do{e.push(t.value),t=s.next()}while(!t.done);return e}}}t.CustomJSExpr=p,a=p,p.__name__=\"CustomJSExpr\",a.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n",
-       "      function _(t,n,e,o,r){var s;o();const a=t(254);class c extends a.Expression{constructor(t){super(t)}_v_compute(t){var n;const e=null!==(n=t.get_length())&&void 0!==n?n:0,o=new Float64Array(e);for(const n of this.fields){const r=t.data[n];if(null!=r){const t=Math.min(e,r.length);for(let n=0;n<t;n++)o[n]+=r[n]}}return o}}e.Stack=c,s=c,c.__name__=\"Stack\",s.define((({String:t,Array:n})=>({fields:[n(t),[]]})))},\n",
-       "      function _(e,n,t,o,r){var i;o();const l=e(254);class u extends l.Expression{constructor(e){super(e)}_v_compute(e){var n;const t=new Float64Array(null!==(n=e.get_length())&&void 0!==n?n:0),o=e.data[this.field],r=this.include_zero?1:0;t[0]=this.include_zero?0:o[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+o[e-r];return t}}t.CumSum=u,i=u,u.__name__=\"CumSum\",i.define((({Boolean:e,String:n})=>({field:[n],include_zero:[e,!1]})))},\n",
-       "      function _(i,n,l,t,e){var a;t();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var n,l;const t=null!==(n=i.data[this.field])&&void 0!==n?n:[];return Math.min(null!==(l=this.initial)&&void 0!==l?l:1/0,(0,r.min)(t))}}l.Minimum=s,a=s,s.__name__=\"Minimum\",a.define((({Number:i,String:n,Nullable:l})=>({field:[n],initial:[l(i),null]})))},\n",
-       "      function _(i,a,n,l,t){var e;l();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var a,n;const l=null!==(a=i.data[this.field])&&void 0!==a?a:[];return Math.max(null!==(n=this.initial)&&void 0!==n?n:-1/0,(0,r.max)(l))}}n.Maximum=s,e=s,s.__name__=\"Maximum\",e.define((({Number:i,String:a,Nullable:n})=>({field:[a],initial:[n(i),null]})))},\n",
-       "      function _(n,e,t,o,r){var s;o();const _=n(254);class m extends _.Expression{constructor(n){super(n)}get x(){return new c({transform:this})}get y(){return new u({transform:this})}}t.CoordinateTransform=m,m.__name__=\"CoordinateTransform\";class a extends _.Expression{constructor(n){super(n)}}t.XYComponent=a,s=a,a.__name__=\"XYComponent\",s.define((({Ref:n})=>({transform:[n(m)]})));class c extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).x}}t.XComponent=c,c.__name__=\"XComponent\";class u extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).y}}t.YComponent=u,u.__name__=\"YComponent\"},\n",
-       "      function _(r,t,n,e,o){e();const i=r(1);var a;const s=r(260),c=r(20),l=(0,i.__importStar)(r(18));class d extends s.CoordinateTransform{constructor(r){super(r)}_v_compute(r){const t=this.properties.radius.uniform(r),n=this.properties.angle.uniform(r),e=\"anticlock\"==this.direction?-1:1,o=Math.min(t.length,n.length),i=new Float64Array(o),a=new Float64Array(o);for(let r=0;r<o;r++){const o=t.get(r),s=n.get(r)*e;i[r]=o*Math.cos(s),a[r]=o*Math.sin(s)}return{x:i,y:a}}}n.PolarTransform=d,a=d,d.__name__=\"PolarTransform\",a.define((({})=>({radius:[l.DistanceSpec,{field:\"radius\"}],angle:[l.AngleSpec,{field:\"angle\"}],direction:[c.Direction,\"anticlock\"]})))},\n",
-       "      function _(e,t,l,r,i){r(),i(\"BooleanFilter\",e(263).BooleanFilter),i(\"CustomJSFilter\",e(264).CustomJSFilter),i(\"Filter\",e(191).Filter),i(\"GroupFilter\",e(265).GroupFilter),i(\"IndexFilter\",e(266).IndexFilter)},\n",
-       "      function _(e,n,l,o,s){var t;o();const a=e(191),r=e(24);class c extends a.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{booleans:l}=this;return null==l?r.Indices.all_set(n):r.Indices.from_booleans(n,l)}}l.BooleanFilter=c,t=c,c.__name__=\"BooleanFilter\",t.define((({Boolean:e,Array:n,Nullable:l})=>({booleans:[l(n(e)),null]})))},\n",
-       "      function _(e,n,r,s,t){var i;s();const o=e(191),c=e(24),u=e(13),a=e(8),l=e(34);class f extends o.Filter{constructor(e){super(e)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const e=(0,l.use_strict)(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const n=e.length,r=this.func(...this.values,e);if(null==r)return c.Indices.all_set(n);if((0,a.isArrayOf)(r,a.isInteger))return c.Indices.from_indices(n,r);if((0,a.isArrayOf)(r,a.isBoolean))return c.Indices.from_booleans(n,r);throw new Error(`expect an array of integers or booleans, or null, got ${r}`)}}r.CustomJSFilter=f,i=f,f.__name__=\"CustomJSFilter\",i.define((({Unknown:e,String:n,Dict:r})=>({args:[r(e),{}],code:[n,\"\"]})))},\n",
-       "      function _(n,e,t,o,r){var u;o();const s=n(191),c=n(24),i=n(19);class l extends s.Filter{constructor(n){super(n)}compute_indices(n){const e=n.get_column(this.column_name);if(null==e)return i.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new c.Indices(n.length,1);{const t=new c.Indices(n.length);for(let n=0;n<t.size;n++)e[n]===this.group&&t.set(n);return t}}}t.GroupFilter=l,u=l,l.__name__=\"GroupFilter\",u.define((({String:n})=>({column_name:[n],group:[n]})))},\n",
-       "      function _(e,n,i,s,t){var l;s();const c=e(191),r=e(24);class d extends c.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?r.Indices.all_set(n):r.Indices.from_indices(n,i)}}i.IndexFilter=d,l=d,d.__name__=\"IndexFilter\",l.define((({Int:e,Array:n,Nullable:i})=>({indices:[i(n(e)),null]})))},\n",
-       "      function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(268).AnnularWedge),t(\"Annulus\",e(269).Annulus),t(\"Arc\",e(270).Arc),t(\"Bezier\",e(271).Bezier),t(\"Circle\",e(272).Circle),t(\"Ellipse\",e(273).Ellipse),t(\"EllipseOval\",e(274).EllipseOval),t(\"Glyph\",e(179).Glyph),t(\"HArea\",e(187).HArea),t(\"HBar\",e(276).HBar),t(\"HexTile\",e(278).HexTile),t(\"Image\",e(279).Image),t(\"ImageRGBA\",e(281).ImageRGBA),t(\"ImageURL\",e(282).ImageURL),t(\"Line\",e(177).Line),t(\"MultiLine\",e(283).MultiLine),t(\"MultiPolygons\",e(284).MultiPolygons),t(\"Oval\",e(285).Oval),t(\"Patch\",e(186).Patch),t(\"Patches\",e(286).Patches),t(\"Quad\",e(287).Quad),t(\"Quadratic\",e(288).Quadratic),t(\"Ray\",e(289).Ray),t(\"Rect\",e(290).Rect),t(\"Scatter\",e(291).Scatter),t(\"Segment\",e(294).Segment),t(\"Spline\",e(295).Spline),t(\"Step\",e(297).Step),t(\"Text\",e(298).Text),t(\"VArea\",e(189).VArea),t(\"VBar\",e(299).VBar),t(\"Wedge\",e(300).Wedge)},\n",
-       "      function _(e,t,s,i,r){i();const n=e(1);var a;const o=e(178),_=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),p=e(72);class x extends o.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,u.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,u.to_screen)(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],c=_[s],l=n.get(s),p=a.get(s);if(!isFinite(t+u+h+c+l+p))continue;const x=p-l;e.translate(t,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-l),e.translate(-t,-u),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[o,_]=this.renderer.yscale.r_compute(r,this._y[e]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new p.Selection({indices:h})}draw_legend_for_index(e,t,s){(0,_.generic_area_vector_legend)(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.AnnularWedge=g,a=g,g.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n",
-       "      function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n",
-       "      function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n",
-       "      function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0<e&&e<1&&a.push(e);continue}const y=l*l-4*x*d,h=Math.sqrt(y);if(y<0)continue;const p=(-l+h)/(2*d);0<p&&p<1&&a.push(p);const f=(-l-h)/(2*d);0<f&&f<1&&a.push(f)}let d=a.length;const l=d;for(;d--;){const l=a[d],x=1-l,y=x*x*x*e+3*x*x*l*i+3*x*l*l*s+l*l*l*c;_[0][d]=y;const h=x*x*x*t+3*x*x*l*n+3*x*l*l*o+l*l*l*r;_[1][d]=h}return _[0][l]=e,_[1][l]=t,_[0][l+1]=c,_[1][l+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class y extends a.GlyphView{_project_data(){d.inplace.project_xy(this._x0,this._y0),d.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t,_x0:i,_y0:n,_x1:s,_y1:o,_cx0:c,_cy0:r,_cx1:a,_cy1:_}=this;for(let d=0;d<t;d++){const t=i[d],l=n[d],y=s[d],h=o[d],p=c[d],f=r[d],u=a[d],m=_[d];if(isFinite(t+y+l+h+p+f+u+m)){const[i,n,s,o]=x(t,l,y,h,p,f,u,m);e.add_rect(i,n,s,o)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:o,sy1:c,scx0:r,scy0:a,scx1:_,scy1:d}=null!=i?i:this;for(const i of t){const t=n[i],l=s[i],x=o[i],y=c[i],h=r[i],p=a[i],f=_[i],u=d[i];isFinite(t+l+x+y+h+p+f+u)&&(e.beginPath(),e.moveTo(t,l),e.bezierCurveTo(h,p,f,u,x,y),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,_.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.BezierView=y,y.__name__=\"BezierView\";class h extends a.Glyph{constructor(e){super(e)}}i.Bezier=h,c=h,h.__name__=\"Bezier\",c.prototype.default_view=y,c.define((({})=>({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n",
-       "      function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),c=s(20),_=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null==i?void 0:i.regl_wrapper.has_webgl){const{MarkerGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(426))));this.glglyph=new e(i.regl_wrapper,this,\"circle\")}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];_.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new m.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=p,p.__name__=\"CircleView\";class y extends h.XYGlyph{constructor(s){super(s)}}e.Circle=y,n=y,y.__name__=\"Circle\",n.prototype.default_view=p,n.mixins([d.LineVector,d.FillVector,d.HatchVector]),n.define((({Number:s})=>({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n",
-       "      function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n",
-       "      function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n",
-       "      function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n",
-       "      function _(t,e,s,i,h){i();const r=t(1);var a;const n=t(277),o=t(24),_=(0,r.__importStar)(t(18));class c extends n.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new o.ScreenArray(t),this.sbottom=new o.ScreenArray(t);for(let e=0;e<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=c,c.__name__=\"HBarView\";class l extends n.Box{constructor(t){super(t)}}s.HBar=l,a=l,l.__name__=\"HBar\",a.prototype.default_view=c,a.define((({})=>({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))},\n",
-       "      function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i<r;i++){const[r,n,a,h]=this._lrtb(i);t.add_rect(e(r,n),e(a,h),s(n,r),s(a,h))}}_render(t,e,s){const{sleft:r,sright:i,stop:n,sbottom:a}=null!=s?s:this;for(const s of e){const e=r[s],h=n[s],o=i[s],c=a[s];isFinite(e+h+o+c)&&(t.beginPath(),t.rect(e,h,o-e,c-h),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s))}}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let r=0;r<s;r++)this.stop[r]=Math.max(this.stop[r],e.start),this.sbottom[r]=Math.min(this.sbottom[r],e.end),this.sleft[r]=Math.max(this.sleft[r],t.start),this.sright[r]=Math.min(this.sright[r],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:s}=t,r=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),n=[...this.index.indices({x0:r,y0:i,x1:r,y1:i})];return new c.Selection({indices:n})}_hit_span(t){const{sx:e,sy:s}=t;let r;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(s),e=this.renderer.plot_view.frame.bbox.h_range,[i,n]=this.renderer.xscale.r_invert(e.start,e.end);r=[...this.index.indices({x0:i,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),s=this.renderer.plot_view.frame.bbox.v_range,[i,n]=this.renderer.yscale.r_invert(s.start,s.end);r=[...this.index.indices({x0:t,y0:i,x1:t,y1:n})]}return new c.Selection({indices:r})}draw_legend_for_index(t,e,s){(0,o.generic_area_vector_legend)(this.visuals,t,e,s)}}s.BoxView=_,_.__name__=\"BoxView\";class l extends h.Glyph{constructor(t){super(t)}}s.Box=l,n=l,l.__name__=\"Box\",n.mixins([a.LineVector,a.FillVector,a.HatchVector])},\n",
-       "      function _(e,t,s,i,r){i();const n=e(1);var a;const o=e(179),c=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),h=e(48),_=e(20),d=e(78),p=e(184),x=e(72);class y extends o.GlyphView{scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:o}=this,c=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e<n;e++){const n=i.get(e),l=r.get(e)/2;a[e]=t*c*(n+l)/s,o[e]=-3*t*l}else for(let e=0;e<n;e++){const n=i.get(e)/2,l=r.get(e);a[e]=3*t*n,o[e]=-t*c*(l+n)*s}}_project_data(){d.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];e.add_rect(i-s,n-t,i+s,n+t)}}map_data(){[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,s){const{sx:i,sy:r,svx:n,svy:a,scale:o}=null!=s?s:this;for(const s of t){const t=i[s],c=r[s],l=o.get(s);if(isFinite(t+c+l)){e.translate(t,c),e.beginPath();for(let t=0;t<6;t++)e.lineTo(n[t]*l,a[t]*l);e.closePath(),e.translate(-t,-c),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),n=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of n)c.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new x.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new x.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[o,c]=this.renderer.yscale.r_invert(i,r),l=[...this.index.indices({x0:n,x1:a,y0:o,y1:c})];return new x.Selection({indices:l})}draw_legend_for_index(e,t,s){(0,p.generic_area_vector_legend)(this.visuals,e,t,s)}}s.HexTileView=y,y.__name__=\"HexTileView\";class u extends o.Glyph{constructor(e){super(e)}}s.HexTile=u,a=u,u.__name__=\"HexTile\",a.prototype.default_view=y,a.mixins([h.LineVector,h.FillVector,h.HatchVector]),a.define((({Number:e})=>({r:[l.NumberSpec,{field:\"r\"}],q:[l.NumberSpec,{field:\"q\"}],scale:[l.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n",
-       "      function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n",
-       "      function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this.image.get(t);let s;(0,o.is_NDArray)(i)?((0,c.assert)(2==i.dimension,\"expected a 2D array\"),s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=(0,g.concat)(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const[t,s,a,h]=this._lrtb(i);e.add_rect(t,h,s,a)}}_lrtb(e){const t=this.dw.get(e),i=this.dh.get(e),s=this.renderer.xscale.source_range,a=this._x[e],h=s.is_reversed?a-t:a+t,n=this.renderer.yscale.source_range,r=this._y[e],_=n.is_reversed?r-i:r+i,[d,l]=a<h?[a,h]:[h,a],[g,o]=r<_?[r,_]:[_,r];return[d,l,o,g]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this.image.length||(this.image_data=new Array(this.image.length)),null!=this._width&&this._width.length==this.image.length||(this._width=new Uint32Array(this.image.length)),null!=this._height&&this._height.length==this.image.length||(this._height=new Uint32Array(this.image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){\"data\"==this.model.properties.dw.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.dw,\"edge\",this.model.dilate):this.sw=(0,_.to_screen)(this.dw),\"data\"==this.model.properties.dh.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.dh,\"edge\",this.model.dilate):this.sh=(0,_.to_screen)(this.dh)}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),r=this._width[e],_=this._height[e],d=(a-s)/r,l=(h-n)/_;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=r-g-1),this.renderer.yscale.source_range.is_reversed&&(o=_-o-1),{index:e,dim1:g,dim2:o,flat_index:o*r+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),n=new l.Selection;for(const e of h)t!=1/0&&i!=1/0&&n.image_indices.push(this._image_index(e,s,a));return n}}i.ImageBaseView=m,m.__name__=\"ImageBaseView\";class u extends r.XYGlyph{constructor(e){super(e)}}i.ImageBase=u,n=u,u.__name__=\"ImageBase\",n.define((({Boolean:e})=>({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n",
-       "      function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n",
-       "      function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++)e.add_empty()}_set_data(){this._set_data_iteration++;const e=this.url.length;this.image=new Array(e);const{retry_attempts:t,retry_timeout:s}=this.model,{_set_data_iteration:r}=this;for(let a=0;a<e;a++){const e=this.url.get(a);e&&new d.ImageLoader(e,{loaded:e=>{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e<n;e++)[o[e],o[n+e]]=m(this._x[e],this.w.get(e));else o.set(this._x,0);if(i)for(let e=0;e<n;e++)[_[e],_[n+e]]=g(this._y[e],this.h.get(e));else _.set(this._y,0);const[u,p]=(0,l.minmax)(o),[f,b]=(0,l.minmax)(_);this._bounds_rect={x0:u,x1:p,y0:f,y1:b}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){\"data\"==this.model.properties.w.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.w,\"edge\",this.model.dilate):this.sw=(0,c.to_screen)(this.w),\"data\"==this.model.properties.h.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.h,\"edge\",this.model.dilate):this.sh=(0,c.to_screen)(this.h)}_render(e,t,s){const{image:r,sx:a,sy:i,sw:n,sh:o,angle:c,global_alpha:_}=null!=s?s:this,{frame:h}=this.renderer.plot_view;e.beginPath(),e.rect(h.bbox.left+1,h.bbox.top+1,h.bbox.width-2,h.bbox.height-2),e.clip();let l=!0;for(const s of t){if(!isFinite(a[s]+i[s]+c.get(s)+_.get(s)))continue;const t=r[s];null!=t?this._render_image(e,s,t,a,i,n,o,c,_):l=!1}l&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,a){switch(e){case\"top_left\":return[t,s];case\"top\":case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"right\":case\"center_right\":return[t-r,s-a/2];case\"bottom_right\":return[t-r,s-a];case\"bottom\":case\"bottom_center\":return[t-r/2,s-a];case\"bottom_left\":return[t,s-a];case\"left\":case\"center_left\":return[t,s-a/2];case\"center\":case\"center_center\":return[t-r/2,s-a/2]}}_render_image(e,t,s,r,a,i,n,o,c){isFinite(i[t])||(i[t]=s.width),isFinite(n[t])||(n[t]=s.height);const _=i[t],h=n[t],{anchor:l}=this.model,[d,m]=this._final_sx_sy(l,r[t],a[t],_,h),g=o.get(t),u=c.get(t);e.save(),e.globalAlpha=u;const p=_/2,f=h/2;g?(e.translate(d,m),e.translate(p,f),e.rotate(g),e.translate(-p,-f),e.drawImage(s,0,0,_,h),e.translate(p,f),e.rotate(-g),e.translate(-p,-f),e.translate(-d,-m)):e.drawImage(s,d,m,_,h),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=m,m.__name__=\"ImageURLView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.ImageURL=g,n=g,g.__name__=\"ImageURL\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t})=>({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n",
-       "      function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,o,r,l]=(0,a.minmax2)(t,i);e.add_rect(n,r,o,l)}}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),o=n.get(s),r=Math.min(t.length,o.length);let l=!0;e.beginPath();for(let s=0;s<r;s++){const i=t[s],n=o[s];isFinite(i+n)?l?(e.moveTo(i,n),l=!1):e.lineTo(i,n):l=!0}this.visuals.line.set_vectorize(e,s),e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let s=9999;const i=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.line_width.get(e)/2),o=this.sxs.get(e),r=this.sys.get(e);let l=null;for(let e=0,i=o.length-1;e<i;e++){const i={x:o[e],y:r[e]},_={x:o[e+1],y:r[e+1]},h=c.dist_to_segment(t,i,_);h<n&&h<s&&(s=h,l=[e])}null!=l&&i.set(e,l)}return new g.Selection({indices:[...i.keys()],multiline_indices:(0,d.to_object)(i)})}_hit_span(e){const{sx:t,sy:s}=e;let i,n;\"v\"==e.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),s=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=i&&i<=t[e+1]&&s.push(e);s.length>0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n",
-       "      function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i<n;i++){const n=this._xs[i],o=this._ys[i];if(0==n.length||0==o.length){t.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let t=0,i=n.length;t<i;t++){const i=n[t][0],c=o[t][0];if(0!=i.length&&0!=c.length){const[t,n]=(0,_.minmax)(i),[o,d]=(0,_.minmax)(c);r=e(r,t),l=s(l,n),h=e(h,o),a=s(a,d)}}t.add_rect(r,h,l,a)}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:t,max:e}=Math,{data_size:s}=this,n=new l.SpatialIndex(s);for(let i=0;i<s;i++){const s=this._xs[i],o=this._ys[i];if(0==s.length||0==o.length){n.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let n=0,i=s.length;n<i;n++){const i=s[n],c=o[n];if(i.length>1&&c.length>1)for(let s=1,n=i.length;s<n;s++){const[n,o]=(0,_.minmax)(i[s]),[d,x]=(0,_.minmax)(c[s]);r=t(r,n),l=e(l,o),h=t(h,d),a=e(a,x)}}n.add_rect(r,h,l,a)}return n.finish(),n}_mask_data(){const{x_range:t,y_range:e}=this.renderer.plot_view.frame;return this.index.indices({x0:t.min,x1:t.max,y0:e.min,y1:e.max})}_render(t,e,s){if(this.visuals.fill.doit||this.visuals.line.doit){const{sxs:n,sys:i}=null!=s?s:this;for(const s of e){t.beginPath();const e=n[s],o=i[s],r=Math.min(e.length,o.length);for(let s=0;s<r;s++){const n=e[s],i=o[s],r=Math.min(n.length,i.length);for(let e=0;e<r;e++){const s=n[e],o=i[e],r=Math.min(s.length,o.length);for(let e=0;e<r;e++){const n=s[e],i=o[e];0==e?t.moveTo(n,i):t.lineTo(n,i)}t.closePath()}}this.visuals.fill.apply(t,s,\"evenodd\"),this.visuals.hatch.apply(t,s,\"evenodd\"),this.visuals.line.apply(t,s)}}}_hit_rect(t){const{sx0:e,sx1:s,sy0:n,sy1:i}=t,o=[e,s,s,e],r=[n,n,i,i],[l,h]=this.renderer.xscale.r_invert(e,s),[a,_]=this.renderer.yscale.r_invert(n,i),c=this.index.indices({x0:l,x1:h,y0:a,y1:_}),d=[];for(const t of c){const e=this.sxs[t],s=this.sys[t];let n=!0;for(let t=0,i=e.length;t<i;t++){for(let i=0,l=e[t][0].length;i<l;i++){const l=e[t][0][i],h=s[t][0][i];if(!x.point_in_poly(l,h,o,r)){n=!1;break}}if(!n)break}n&&d.push(t)}return new f.Selection({indices:d})}_hit_point(t){const{sx:e,sy:s}=t,n=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),o=this.index.indices({x0:n,y0:i,x1:n,y1:i}),r=this._hole_index.indices({x0:n,y0:i,x1:n,y1:i}),l=[];for(const t of o){const n=this.sxs[t],i=this.sys[t];for(let o=0,h=n.length;o<h;o++){const h=n[o].length;if(x.point_in_poly(e,s,n[o][0],i[o][0]))if(1==h)l.push(t);else if(r.get(t)){if(h>1){let r=!1;for(let t=1;t<h;t++){const l=n[o][t],h=i[o][t];if(x.point_in_poly(e,s,l,h)){r=!0;break}}r||l.push(t)}}else l.push(t)}}return new f.Selection({indices:l})}_get_snap_coord(t){return(0,c.sum)(t)/t.length}scenterxy(t,e,s){if(1==this.sxs[t].length){return[this._get_snap_coord(this.sxs[t][0][0]),this._get_snap_coord(this.sys[t][0][0])]}{const n=this.sxs[t],i=this.sys[t];for(let t=0,o=n.length;t<o;t++)if(x.point_in_poly(e,s,n[t][0],i[t][0])){return[this._get_snap_coord(n[t][0]),this._get_snap_coord(i[t][0])]}}(0,g.unreachable)()}map_data(){const t=this._xs.length;this.sxs=new Array(t),this.sys=new Array(t);for(let e=0;e<t;e++){const t=this._xs[e].length;this.sxs[e]=new Array(t),this.sys[e]=new Array(t);for(let s=0;s<t;s++){const t=this._xs[e][s].length;this.sxs[e][s]=new Array(t),this.sys[e][s]=new Array(t);for(let n=0;n<t;n++){const[t,i]=this.renderer.coordinates.map_to_screen(this._xs[e][s][n],this._ys[e][s][n]);this.sxs[e][s][n]=t,this.sys[e][s][n]=i}}}}draw_legend_for_index(t,e,s){(0,a.generic_area_vector_legend)(this.visuals,t,e,s)}}s.MultiPolygonsView=p,p.__name__=\"MultiPolygonsView\";class m extends h.Glyph{constructor(t){super(t)}}s.MultiPolygons=m,r=m,m.__name__=\"MultiPolygons\",r.prototype.default_view=p,r.define((({})=>({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n",
-       "      function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n",
-       "      function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,r,a,o]=(0,_.minmax2)(t,i);e.add_rect(n,a,r,o)}}_mask_data(){const{x_range:e,y_range:t}=this.renderer.plot_view.frame;return this.index.indices({x0:e.min,x1:e.max,y0:t.min,y1:t.max})}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),r=n.get(s);let a=!0;e.beginPath();const o=Math.min(t.length,r.length);for(let s=0;s<o;s++){const i=t[s],n=r[s];isFinite(i+n)?a?(e.moveTo(i,n),a=!1):e.lineTo(i,n):(e.closePath(),a=!0)}e.closePath(),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],a=[i,i,n,n],[o,c]=this.renderer.xscale.r_invert(t,s),[_,h]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:c,y0:_,y1:h}),p=[];for(const e of d){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],o=s[e];if(!l.point_in_poly(n,o,r,a)){i=!1;break}}i&&p.push(e)}return new y.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),a=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let o=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(o,c),_=n.subarray(o,c);if(l.point_in_poly(t,s,r,_)){a.push(e);break}o=c+1}if(c==r)break}}return new y.Selection({indices:a})}_get_snap_coord(e){return(0,_.sum)(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let a=!1;for(let e=0,o=0;;o++){const c=isNaN(i[o]);if(a=a||c,o==r&&!a){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||o==r){const r=i.subarray(e,o),a=n.subarray(e,o);if(l.point_in_poly(t,s,r,a)){return[this._get_snap_coord(r),this._get_snap_coord(a)]}e=o+1}if(o==r)break}(0,p.unreachable)()}draw_legend_for_index(e,t,s){(0,c.generic_area_vector_legend)(this.visuals,e,t,s)}}s.PatchesView=f,f.__name__=\"PatchesView\";class g extends o.Glyph{constructor(e){super(e)}}s.Patches=g,a=g,g.__name__=\"Patches\",a.prototype.default_view=f,a.define((({})=>({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n",
-       "      function _(t,e,o,i,s){i();const r=t(1);var n;const _=t(277),d=(0,r.__importStar)(t(18));class a extends _.BoxView{scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}o.QuadView=a,a.__name__=\"QuadView\";class c extends _.Box{constructor(t){super(t)}}o.Quad=c,n=c,c.__name__=\"Quad\",n.prototype.default_view=a,n.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))},\n",
-       "      function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a<r;a++){const r=t[a],_=i[a],d=n[a],l=s[a],y=c[a],p=o[a];if(isFinite(r+_+d+l+y+p)){const[t,i]=x(r,y,_),[n,s]=x(d,p,l);e.add_rect(t,n,i,s)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:c,sy1:o,scx:r,scy:a}=null!=i?i:this;for(const i of t){const t=n[i],_=s[i],d=c[i],l=o[i],x=r[i],y=a[i];isFinite(t+_+d+l+x+y)&&(e.beginPath(),e.moveTo(t,_),e.quadraticCurveTo(x,y,d,l),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,d.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.QuadraticView=y,y.__name__=\"QuadraticView\";class p extends _.Glyph{constructor(e){super(e)}}i.Quadratic=p,o=p,p.__name__=\"Quadratic\",o.prototype.default_view=y,o.define((({})=>({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n",
-       "      function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e<t;e++)0==i[e]&&(i[e]=s)}_render(e,t,s){const{sx:i,sy:n,slength:l,angle:a}=null!=s?s:this;if(this.visuals.line.doit)for(const s of t){const t=i[s],r=n[s],o=a.get(s),h=l[s];isFinite(t+r+o+h)&&(e.translate(t,r),e.rotate(o),e.beginPath(),e.moveTo(0,0),e.lineTo(h,0),this.visuals.line.set_vectorize(e,s),e.stroke(),e.rotate(-o),e.translate(-t,-r))}}draw_legend_for_index(e,t,s){(0,o.generic_line_vector_legend)(this.visuals,e,t,s)}}s.RayView=g,g.__name__=\"RayView\";class d extends r.XYGlyph{constructor(e){super(e)}}s.Ray=d,a=d,d.__name__=\"Ray\",a.prototype.default_view=g,a.mixins(h.LineVector),a.define((({})=>({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n",
-       "      function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(425))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sx0[e]=this.sx[e]-this.sw[e]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this.height,this.renderer.yscale);else{this.sh=(0,_.to_screen)(this.height);const t=this.sy.length;this.sy1=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sy1[e]=this.sy[e]-this.sh[e]/2}const t=this.sw.length;this.ssemi_diag=new _.ScreenArray(t);for(let e=0;e<t;e++)this.ssemi_diag[e]=Math.sqrt(this.sw[e]/2*this.sw[e]/2+this.sh[e]/2*this.sh[e]/2)}_render(t,e,s){const{sx:i,sy:r,sx0:n,sy1:h,sw:a,sh:l,angle:o}=null!=s?s:this;for(const s of e){const e=i[s],c=r[s],_=n[s],d=h[s],f=a[s],y=l[s],u=o.get(s);isFinite(e+c+_+d+f+y+u)&&(0!=f&&0!=y&&(t.beginPath(),u?(t.translate(e,c),t.rotate(u),t.rect(-f/2,-y/2,f,y),t.rotate(-u),t.translate(-e,-c)):t.rect(_,d,f,y),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s)))}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:e,sy:s}=t;const i=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(s),n=this.sx0.length,h=new _.ScreenArray(n);for(let t=0;t<n;t++)h[t]=this.sx0[t]+this.sw[t]/2;const a=new _.ScreenArray(n);for(let t=0;t<n;t++)a[t]=this.sy1[t]+this.sh[t]/2;const l=(0,d.max)(this._ddist(0,h,this.ssemi_diag)),o=(0,d.max)(this._ddist(1,a,this.ssemi_diag)),c=i-l,y=i+l,u=r-o,w=r+o;let g,p;const x=[];for(const t of this.index.indices({x0:c,x1:y,y0:u,y1:w})){const i=this.angle.get(t);if(i){const r=Math.sin(-i),n=Math.cos(-i),h=n*(e-this.sx[t])-r*(s-this.sy[t])+this.sx[t],a=r*(e-this.sx[t])+n*(s-this.sy[t])+this.sy[t];e=h,s=a,g=Math.abs(this.sx[t]-e)<=this.sw[t]/2,p=Math.abs(this.sy[t]-s)<=this.sh[t]/2}else{const i=e-this.sx0[t],r=s-this.sy1[t];g=0<=i&&i<=this.sw[t],p=0<=r&&r<=this.sh[t]}g&&p&&x.push(t)}return new f.Selection({indices:x})}_map_dist_corner_for_data_side_length(t,e,s){const i=t.length,r=new Float64Array(i),n=new Float64Array(i);for(let s=0;s<i;s++){const i=t[s],h=e.get(s)/2;r[s]=i-h,n[s]=i+h}const h=s.v_compute(r),a=s.v_compute(n),l=this.sdist(s,r,e,\"edge\",this.model.dilate);let o=h;for(let t=0;t<i;t++){const e=h[t],s=a[t];if(!isNaN(e+s)&&e!=s){o=e<s?h:a;break}}return[l,o]}_ddist(t,e,s){const i=(0,_.infer_type)(e,s),r=0==t?this.renderer.xscale:this.renderer.yscale,n=e,h=n.length,a=new i(h);for(let t=0;t<h;t++)a[t]=n[t]+s[t];const l=r.v_invert(n),o=r.v_invert(a),c=l.length,d=new i(c);for(let t=0;t<c;t++)d[t]=Math.abs(o[t]-l[t]);return d}draw_legend_for_index(t,e,s){(0,c.generic_area_vector_legend)(this.visuals,t,e,s)}}s.RectView=y,y.__name__=\"RectView\";class u extends o.CenterRotatable{constructor(t){super(t)}}s.Rect=u,n=u,u.__name__=\"Rect\",n.prototype.default_view=y,n.define((({Boolean:t})=>({dilate:[t,!1]})))},\n",
-       "      function _(e,t,s,r,i){r();const a=e(1);var n;const l=e(292),_=e(293),c=(0,a.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{MarkerGL:t}=await Promise.resolve().then((()=>(0,a.__importStar)(e(426))));this.glcls=t}}_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const{regl_wrapper:t}=e;if(t.has_webgl){const e=new Set(null!=this.base?this.base.marker:this.marker);if(1==e.size){const[s]=[...e],r=this.glcls;if(null==r?void 0:r.is_supported(s)){const{glglyph:e}=this;if(null==e||e.marker_type!=s)return void(this.glglyph=new r(t,this,s))}}}}delete this.glglyph}_set_visuals(){this._init_webgl()}_render(e,t,s){const{sx:r,sy:i,size:a,angle:n,marker:l}=null!=s?s:this;for(const s of t){const t=r[s],c=i[s],o=a.get(s),g=n.get(s),h=l.get(s);if(!isFinite(t+c+o+g)||null==h)continue;const w=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,s,w,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:s,y0:r,y1:i},a){const n=a+1,l=this.marker.get(a),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:s,y0:r,y1:i},a)),{marker:new c.UniformScalar(l,n)});this._render(e,[a],_)}}s.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}s.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n",
-       "      function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e<r;e++){const r=n[e];_.point_in_poly(this.sx[e],this.sy[e],t,s)&&i.push(r)}return new x.Selection({indices:i})}_get_legend_args({x0:e,x1:t,y0:s,y1:n},i){const r=i+1,a=new Array(r),c=new Array(r);a[i]=(e+t)/2,c[i]=(s+n)/2;const o=.4*Math.min(Math.abs(t-e),Math.abs(n-s));return{sx:a,sy:c,size:new h.UniformScalar(o,r),angle:new h.UniformScalar(0,r)}}draw_legend_for_index(e,{x0:t,x1:s,y0:n,y1:i},r){const a=this._get_legend_args({x0:t,x1:s,y0:n,y1:i},r);this._render(e,[r],a)}}s.MarkerView=d,d.__name__=\"MarkerView\";class y extends c.XYGlyph{constructor(e){super(e)}}s.Marker=y,a=y,y.__name__=\"Marker\",a.mixins([o.LineVector,o.FillVector,o.HatchVector]),a.define((({Number:e})=>({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n",
-       "      function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n",
-       "      function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)<t&&a.push(e)}return new l.Selection({indices:a})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,o,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,o]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,o]=[this._x0,this._x1]);const h=[],[c,a]=this.renderer.xscale.r_invert(t.start,t.end),[d,x]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:c,y0:d,x1:a,y1:x});for(const t of y){(r[t]<=_&&_<=o[t]||o[t]<=_&&_<=r[t])&&h.push(t);const s=1.5+this.line_width.get(t)/2;r[t]==o[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&h.push(t):Math.abs(this.sy0[t]-n)<=s&&h.push(t))}return new l.Selection({indices:h})}scenterxy(e){return[this.sx0[e]/2+this.sx1[e]/2,this.sy0[e]/2+this.sy1[e]/2]}draw_legend_for_index(e,t,s){(0,x.generic_line_vector_legend)(this.visuals,e,t,s)}}s.SegmentView=y,y.__name__=\"SegmentView\";class p extends d.Glyph{constructor(e){super(e)}}s.Segment=p,o=p,p.__name__=\"Segment\",o.prototype.default_view=y,o.define((({})=>({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n",
-       "      function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n",
-       "      function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n<f;n++){const s=(i[n+1]-i[n-1])*o,c=(u[n+1]-u[n-1])*o,l=(i[n+2]-i[n])*o,r=(u[n+2]-u[n])*o;for(let o=0;o<=4*e;t++){const e=g[o++],f=g[o++],w=g[o++],a=g[o++];h[t]=e*i[n]+f*i[n+1]+w*s+a*l,_[t]=e*u[n]+f*u[n+1]+w*c+a*r}}return[h,_]}},\n",
-       "      function _(e,t,n,s,i){s();const o=e(1);var l;const a=e(178),r=e(184),c=(0,o.__importStar)(e(48)),_=e(20),d=e(11);class f extends a.XYGlyphView{_render(e,t,n){const{sx:s,sy:i}=null!=n?n:this;let o=!1,l=null;this.visuals.line.set_value(e);const a=t.length;if(!(a<2)){e.beginPath(),e.moveTo(s[0],i[0]);for(const n of t){let t,a,r,c;switch(this.model.mode){case\"before\":[t,r]=[s[n-1],i[n]],[a,c]=[s[n],i[n]];break;case\"after\":[t,r]=[s[n],i[n-1]],[a,c]=[s[n],i[n]];break;case\"center\":{const e=(s[n-1]+s[n])/2;[t,r]=[e,i[n-1]],[a,c]=[e,i[n]];break}default:(0,d.unreachable)()}if(o){if(!isFinite(s[n]+i[n])){e.stroke(),e.beginPath(),o=!1,l=n;continue}null!=l&&n-l>1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n",
-       "      function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],o=this._sys[t],_=n.length;for(let h=0,l=_;h<l;h++){const[l,a]=this._rotate_point(e,s,n[_-1][0],o[_-1][0],-this.angle.get(t));r.point_in_poly(l,a,n[h],o[h])&&i.push(t)}}return new u.Selection({indices:i})}scenterxy(t){const e=this._sxs[t],s=this._sys[t];(0,x.assert)(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],o=(e[0][2]+i)/2,_=(s[0][2]+n)/2,[h,l]=this._rotate_point(o,_,i,n,this.angle.get(t));return[h,l]}}s.TextView=f,f.__name__=\"TextView\";class p extends h.XYGlyph{constructor(t){super(t)}}s.Text=p,_=p,p.__name__=\"Text\",_.prototype.default_view=f,_.mixins(l.TextVector),_.define((({})=>({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n",
-       "      function _(t,s,e,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class c extends a.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=c,c.__name__=\"VBarView\";class p extends a.Box{constructor(t){super(t)}}e.VBar=p,o=p,p.__name__=\"VBar\",o.prototype.default_view=c,o.define((({})=>({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n",
-       "      function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),l=e(184),d=e(48),o=e(24),h=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,o.to_screen)(this.radius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,l=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],d=n[t],o=r[t],h=a.get(t),_=c.get(t);isFinite(s+d+o+h+_)&&(e.beginPath(),e.arc(s,d,o,h,_,l),e.lineTo(s,d),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r,a,c,l,d;const{sx:o,sy:h}=e,_=this.renderer.xscale.invert(o),p=this.renderer.yscale.invert(h),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=_-x,c=_+x,l=p-x,d=p+x):(t=o-x,i=o+x,[a,c]=this.renderer.xscale.r_invert(t,i),n=h-x,r=h+x,[l,d]=this.renderer.yscale.r_invert(n,r));const y=[];for(const e of this.index.indices({x0:a,x1:c,y0:l,y1:d})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(_,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&y.push(e)}const f=\"anticlock\"==this.model.direction,m=[];for(const e of y){const s=Math.atan2(h-this.sy[e],o-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),f)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,l.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class x extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=x,a=x,x.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n",
-       "      function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n",
-       "      function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e<t.data.start.length;e++)((0,_.contains)(n,t.data.start[e])||(0,_.contains)(n,t.data.end[e]))&&s.push(e);const o=new i.Selection;for(const e of s)o.multiline_indices[e]=[0];return o.indices=s,o}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,d,n);const o=t.edge_renderer.data_source.selected,r=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model);o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model),_=this.get_linked_edges(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!o.is_empty()}}d.NodesAndLinkedEdges=u,u.__name__=\"NodesAndLinkedEdges\";class m extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}get_linked_nodes(e,t,d){let n=[];\"selection\"==d?n=t.selected.indices:\"inspection\"==d&&(n=t.inspected.indices);const s=[];for(const e of n)s.push(t.data.start[e]),s.push(t.data.end[e]);const o=(0,_.uniq)(s).map((t=>(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n",
-       "      function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n",
-       "      function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t<e;t++){const a=this.graph_layout[l[t]],[e,r]=null!=a?a:[NaN,NaN];n[t]=e,o[t]=r}return[n,o]}get_edge_coordinates(t){var a,l;const e=null!==(a=t.data.start)&&void 0!==a?a:[],n=null!==(l=t.data.end)&&void 0!==l?l:[],o=Math.min(e.length,n.length),r=[],u=[],s=null!=t.data.xs&&null!=t.data.ys;for(let a=0;a<o;a++){const l=null!=this.graph_layout[e[a]]&&null!=this.graph_layout[n[a]];if(s&&l)r.push(t.data.xs[a]),u.push(t.data.ys[a]);else{let t,o;l?(t=this.graph_layout[e[a]],o=this.graph_layout[n[a]]):(t=[NaN,NaN],o=[NaN,NaN]),r.push([t[0],o[0]]),u.push([t[1],o[1]])}}return[r,u]}}l.StaticLayoutProvider=u,o=u,u.__name__=\"StaticLayoutProvider\",o.define((({Number:t,Tuple:a,Dict:l})=>({graph_layout:[l(a(t,t)),{}]})))},\n",
-       "      function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n",
-       "      function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;s<e.length-1;s++){if(s%2!=1)continue;const[t,r]=this.coordinates.map_to_screen(e[s],n[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],n[s+1]);i.beginPath(),i.rect(t[0],r[0],o[1]-t[0],d[1]-r[0]),this.visuals.band_fill.apply(i),this.visuals.band_hatch.apply(i)}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,n]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,n)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,n]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,n)}_draw_grid_helper(i,e,n,s){e.set_value(i),i.beginPath();for(let e=0;e<n.length;e++){const[t,r]=this.coordinates.map_to_screen(n[e],s[e]);i.moveTo(Math.round(t[0]),Math.round(r[0]));for(let e=1;e<t.length;e++)i.lineTo(Math.round(t[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:n}=this.coordinates;return[n[i],n[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,n=[i.min,i.max];let s,t;if((0,h.isArray)(e))s=Math.min(e[0],e[1]),t=Math.max(e[0],e[1]),s<n[0]&&(s=n[0]),t>n[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const t=[],r=[],o=2;for(let e=0;e<o;e++){const n=u+(m-u)/(o-1)*e;t.push(l[i]),r.push(n)}_[n].push(t),_[s].push(r)}return _}}n.GridView=c,c.__name__=\"GridView\";class u extends _.GuideRenderer{constructor(i){super(i)}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}n.Grid=u,o=u,u.__name__=\"Grid\",o.prototype.default_view=c,o.mixins([[\"grid_\",l.Line],[\"minor_grid_\",l.Line],[\"band_\",l.Fill],[\"band_\",l.Hatch]]),o.define((({Number:i,Auto:e,Enum:n,Ref:s,Tuple:t,Or:r,Nullable:o})=>({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n",
-       "      function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n",
-       "      function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n",
-       "      function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n",
-       "      function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n",
-       "      function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n",
-       "      function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n",
-       "      function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n",
-       "      function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n",
-       "      function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n",
-       "      function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n",
-       "      function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');}'},\n",
-       "      function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n",
-       "      function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n",
-       "      function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n",
-       "      function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n",
-       "      function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n",
-       "      function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n",
-       "      function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e<n.length;e++){const r=n[e];t[e]=this._compute(r)}return t}compute(e){return this.range instanceof i.FactorRange?this._compute(this.range.synthetic(e)):(0,h.isNumber)(e)?this._compute(e):void(0,l.unreachable)()}}t.RangeTransform=g,s=g,g.__name__=\"RangeTransform\",s.define((({Ref:e,Nullable:n})=>({range:[n(e(o.Range)),null]})))},\n",
-       "      function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;r<t.length;r++){const n=t[r];e[r]=this.compute(n)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if((0,d.isString)(this.x)&&(0,d.isString)(this.y)&&null!=this.data){const t=this.data.columns();if(!(0,l.includes)(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!(0,l.includes)(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!(0,d.isArray)(this.x)||!(0,d.isArray)(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const n=e.length,s=new Uint32Array(n);for(let t=0;t<n;t++)s[t]=t;const o=t?-1:1;s.sort(((t,r)=>o*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t<n;t++)this._x_sorted[t]=e[s[t]],this._y_sorted[t]=r[s[t]];this._sorted_dirty=!1}}r.Interpolator=c,o=c,c.__name__=\"Interpolator\",o.define((({Boolean:t,Number:e,String:r,Ref:n,Array:s,Or:o,Nullable:i})=>({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n",
-       "      function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n",
-       "      function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>s<t)),_=this._x_sorted[s],r=this._x_sorted[s+1],e=this._y_sorted[s],o=this._y_sorted[s+1];return e+(t-_)/(r-_)*(o-e)}}_.LinearInterpolator=n,n.__name__=\"LinearInterpolator\"},\n",
-       "      function _(t,e,s,r,o){var _;r();const i=t(325),n=t(20),d=t(9);class h extends i.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n",
-       "      function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n",
-       "      function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"3.43\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n",
-       "      function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n",
-       "      function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i<e.length;i++){const s=e[i];if(s instanceof h.Title){e[i]=\"above\"==v||\"below\"==v?[s,this._toolbar]:[this._toolbar,s],t=!1;break}}t&&e.push(this._toolbar)}const b=(e,t)=>{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout((()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n",
-       "      function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n",
-       "      function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>=o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&r<=o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>=o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<=o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r<e&&(s=(o-e)/(o-r)),null!=a&&a>0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n",
-       "      function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.index<this.history.length-1}}s.StateManager=a,a.__name__=\"StateManager\"},\n",
-       "      function _(t,e,s,o,i){o();const a=t(19),n=t(15),p=t(43),l=t(78),_=t(22),h=t(332),m=new n.Signal0({},\"gmaps_ready\");class d extends h.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,!this.model.api_key){const t=\"https://developers.google.com/maps/documentation/javascript/get-api-key\";a.logger.error(`api_key is required. See ${t} for more information on how to obtain your own.`)}if(\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){const{api_key:t,api_version:e}=this.model;!function(t,e){window._bokeh_gmaps_callback=()=>m.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n",
-       "      function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n",
-       "      function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n",
-       "      function _(e,r,i,n,t){var d;n();const o=e(176),s=e(175),a=e(303),l=e(302),p=e(113),_=e(178),h=e(283),y=e(286);class c extends o.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,p.build_view)(r,{parent:e}),this.node_view=await(0,p.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y},this.model.edge_renderer=e,this.model.node_renderer=r}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof s.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends o.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,d=g,g.__name__=\"GraphRenderer\",d.prototype.default_view=c,d.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(s.GlyphRenderer)],edge_renderer:[e(s.GlyphRenderer)],selection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly],inspection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly]})))},\n",
-       "      function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n",
-       "      function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n",
-       "      function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n",
-       "      function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n",
-       "      function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n",
-       "      function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"Polygon\":{e.coordinates.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPoint\":i.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e<s.length;e++){const[r,n,a]=s[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=_(a)}break}default:throw new Error(`Invalid GeoJSON geometry type: ${e.type}`)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=u,s=u,u.__name__=\"GeoJSONDataSource\",s.define((({String:e})=>({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n",
-       "      function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n",
-       "      function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n",
-       "      function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,n]=(0,l.meters_extent_to_geographic)(_);return[s,r,o,n]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(`Invalid Quadkey: ${t}`)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n",
-       "      function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n",
-       "      function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n",
-       "      function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n",
-       "      function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let o=t.get_level_by_extent(s,n,a),r=!1;o<e?(s=this.extent,o=e,r=!0):o>i&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n",
-       "      function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n",
-       "      function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n",
-       "      function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n",
-       "      function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n",
-       "      function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n",
-       "      function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n",
-       "      function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n",
-       "      function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n",
-       "      function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n",
-       "      function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n",
-       "      function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n",
-       "      function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n",
-       "      function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n",
-       "      function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n",
-       "      function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n",
-       "      function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n",
-       "      function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n",
-       "      function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||((0,c.isArray)(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const r of t){const t=this._map_drag(o,n,r),i=this._map_drag(e.sx,e.sy,r);if(null==i||null==t)continue;const[c,a]=i,[_,l]=t,[d,u]=[c-_,a-l],h=r.glyph,m=r.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(m.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())(0,i.includes)(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:r}=e;if(!o.bbox.contains(n,r))return[];const i={type:\"point\",sx:n,sy:r},c=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=this.plot_view.renderer_view(e);if(null!=n){s.select([n],i,!0,t)&&c.push(e),o.properties.selected.change.emit()}}return c}}s.EditToolView=d,d.__name__=\"EditToolView\";class u extends l.GestureTool{constructor(e){super(e)}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=u,r=u,u.__name__=\"EditTool\",r.define((({Unknown:e,String:t,Array:s,Ref:o,Nullable:n})=>({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n",
-       "      function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n",
-       "      function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n",
-       "      function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n",
-       "      function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],a=i.data_source,r=i.glyph,[o,n]=[r.xs.field,r.ys.field];if(o)for(const t of a.get_array(o))e.push(...t);if(n)for(const e of a.get_array(n))t.push(...e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,a]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(a){const e=t.data[a].length-1,s=t.get_array(a)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===o.Keys.Backspace?this._delete_selected(t):e.keyCode==o.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const a=this._map_drag(t,s,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==a)continue;const o=i.data_source,n=i.glyph,[d,_]=[n.xs.field,n.ys.field];if(!d&&!_)continue;const[h,l]=r,[c,g]=a,[f,p]=[h-c,l-g];for(const e of o.selected.indices){let t,s,i;d&&(s=o.data[d][e]),_?(i=o.data[_][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=f),i&&(i[e]+=p)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,(()=>this._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n",
-       "      function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n",
-       "      function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n",
-       "      function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n",
-       "      function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n",
-       "      function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.trigger_ranges_update_event()}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.state.push(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=h,h.__name__=\"BoxZoomToolView\";const c=()=>new a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n",
-       "      function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n",
-       "      function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n",
-       "      function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n",
-       "      function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n",
-       "      function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(n<t.start||n>t.end)&&(this.v_axis_only=!0),(e<s.start||e>s.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n",
-       "      function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)<s}function c(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e<t.end?(t.start=e,i):(t.start=t.end,t.end=e,d(i))}function m(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=g(e.start,e.end,s);g(a,r,s)>=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n",
-       "      function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n",
-       "      function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n",
-       "      function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.start<n&&n<s.end,r=(\"height\"==h||\"both\"==h)&&i.start<l&&l<i.end;if(!(a&&r||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,d=(0,_.scale_range)(t,m,a,r,{x:n,y:l});this.plot_view.state.push(\"wheel_zoom\",{range:d});const{maintain_focus:c}=this.model;this.plot_view.update_range(d,{scrolling:!0,maintain_focus:c}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n",
-       "      function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n",
-       "      function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n",
-       "      function _(e,t,n,s,o){s();const i=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=(0,i.__importStar)(e(185)),y=e(152),f=e(43),v=e(22),x=e(13),w=e(234),g=e(8),b=e(113),k=e(20),C=e(228),S=e(15),T=e(66),$=(0,i.__importStar)(e(242)),R=e(392);function M(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=m.dist_2_pts(r,e),c=m.dist_2_pts(l,e)}return a<c?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function G(e,t,n){return[[e[n],t[n]],n]}n._nearest_line_hit=M,n._line_hit=G;class z extends l.InspectToolView{initialize(){super.initialize(),this._ttmodels=new Map,this._ttviews=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._update_ttmodels();const{tooltips:e}=this.model;e instanceof R.Template&&(this._template_view=await(0,b.build_view)(e,{parent:this}),this._template_view.render())}remove(){var e;null===(e=this._template_view)||void 0===e||e.remove(),(0,b.remove_views)(this._ttviews),super.remove()}connect_signals(){super.connect_signals();const e=this.plot_model.properties.renderers,{renderers:t,tooltips:n}=this.model.properties;this.on_change(n,(()=>delete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,g.isString)(n)||(0,g.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,b.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));S.Signal.disconnect_receiver(this,i,e)}for(const e of o)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,T.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager(),r=i.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty())return void o.clear();const a=i.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,m=c.coordinates.x_scale,y=c.coordinates.y_scale,v=m.invert(d),w=y.invert(p),{glyph:g}=c,b=[];if(g instanceof h.LineView)for(const n of l.line_indices){let s,o,i=g._x[n+1],r=g._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,r]=g.get_interpolation_hit(n,t),s=m.compute(i),o=y.compute(r);break;case\"prev\":[[s,o],c]=G(g.sx,g.sy,n);break;case\"next\":[[s,o],c]=G(g.sx,g.sy,n+1);break;case\"nearest\":[[s,o],c]=M(n,t,d,p,g.sx,g.sy),i=g._x[c],r=g._y[c];break;default:[s,o]=[d,p]}const _={index:c,x:v,y:w,sx:d,sy:p,data_x:i,data_y:r,rx:s,ry:o,indices:l.line_indices,name:e.name};b.push([s,o,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:v,y:w,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);b.push([d,p,s])}for(const o of l.indices)if(g instanceof u.MultiLineView&&!(0,x.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[o.toString()]){let s,i,r,c=g._xs.get(o)[n],h=g._ys.get(o)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=g.get_interpolation_hit(o,n,t),s=m.compute(c),i=y.compute(h);break;case\"prev\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n);break;case\"next\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n+1);break;case\"nearest\":[[s,i],u]=M(n,t,d,p,g.sxs.get(o),g.sys.get(o)),c=g._xs.get(o)[u],h=g._ys.get(o)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const f={index:r,x:v,y:w,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};b.push([s,i,this._render_tooltips(a,r,f)])}else{const t=null===(n=g._x)||void 0===n?void 0:n[o],i=null===(s=g._y)||void 0===s?void 0:s[o];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=g.get_anchor_point(this.model.anchor,o,[d,p]);if(null==e&&(e=g.get_anchor_point(\"center\",o,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:v,y:w,sx:d,sy:p,data_x:t,data_y:i,indices:l.indices,name:e.name};b.push([r,c,this._render_tooltips(a,h,u)])}if(0==b.length)o.clear();else{const{content:e}=o;(0,f.empty)(o.content);for(const[,,t]of b)null!=t&&e.appendChild(t);const[t,n]=b[b.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,f.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,f.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=(0,f.span)();o.dataset.value=\"\";const i=(0,f.span)({class:$.tooltip_color_block},\" \");i.dataset.swatch=\"\",(0,f.undisplay)(i);const r=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of(0,w.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=(0,g.isNumber)(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=(0,v.color2css)(e),(0,f.display)(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,g.isNumber)(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?(0,v.color2hex)(d):(0,v.color2css)(d),c&&(l[i].style.backgroundColor=(0,v.color2css)(d),(0,f.display)(l[i]))}}else{const t=(0,y.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if((0,g.isString)(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if((0,g.isString)(o)){const s=(0,y.replace_placeholders)({html:o},e,t,this.model.formatters,n);return(0,f.div)(s)}if((0,g.isFunction)(o))return o(e,n);if(o instanceof R.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class A extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=C.tool_icon_hover}}n.HoverTool=A,r=A,A.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(R.Template),n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(l(a.CustomJSHover),y.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[k.HoverMode,\"mouse\"],muted_policy:[k.MutedPolicy,\"show\"],point_policy:[k.PointPolicy,\"snap_to_data\"],line_policy:[k.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[k.Anchor,\"center\"],attachment:[k.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new A))},\n",
-       "      function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n",
-       "      function _(l,n,u,_,e){var t;_();const o=l(53);class r extends o.Model{constructor(l){super(l)}}u.Styles=r,t=r,r.__name__=\"Styles\",r.__module__=\"bokeh.models.css\",t.define((({String:l,Nullable:n})=>({align_content:[n(l),null],align_items:[n(l),null],align_self:[n(l),null],alignment_baseline:[n(l),null],all:[n(l),null],animation:[n(l),null],animation_delay:[n(l),null],animation_direction:[n(l),null],animation_duration:[n(l),null],animation_fill_mode:[n(l),null],animation_iteration_count:[n(l),null],animation_name:[n(l),null],animation_play_state:[n(l),null],animation_timing_function:[n(l),null],backface_visibility:[n(l),null],background:[n(l),null],background_attachment:[n(l),null],background_clip:[n(l),null],background_color:[n(l),null],background_image:[n(l),null],background_origin:[n(l),null],background_position:[n(l),null],background_position_x:[n(l),null],background_position_y:[n(l),null],background_repeat:[n(l),null],background_size:[n(l),null],baseline_shift:[n(l),null],block_size:[n(l),null],border:[n(l),null],border_block_end:[n(l),null],border_block_end_color:[n(l),null],border_block_end_style:[n(l),null],border_block_end_width:[n(l),null],border_block_start:[n(l),null],border_block_start_color:[n(l),null],border_block_start_style:[n(l),null],border_block_start_width:[n(l),null],border_bottom:[n(l),null],border_bottom_color:[n(l),null],border_bottom_left_radius:[n(l),null],border_bottom_right_radius:[n(l),null],border_bottom_style:[n(l),null],border_bottom_width:[n(l),null],border_collapse:[n(l),null],border_color:[n(l),null],border_image:[n(l),null],border_image_outset:[n(l),null],border_image_repeat:[n(l),null],border_image_slice:[n(l),null],border_image_source:[n(l),null],border_image_width:[n(l),null],border_inline_end:[n(l),null],border_inline_end_color:[n(l),null],border_inline_end_style:[n(l),null],border_inline_end_width:[n(l),null],border_inline_start:[n(l),null],border_inline_start_color:[n(l),null],border_inline_start_style:[n(l),null],border_inline_start_width:[n(l),null],border_left:[n(l),null],border_left_color:[n(l),null],border_left_style:[n(l),null],border_left_width:[n(l),null],border_radius:[n(l),null],border_right:[n(l),null],border_right_color:[n(l),null],border_right_style:[n(l),null],border_right_width:[n(l),null],border_spacing:[n(l),null],border_style:[n(l),null],border_top:[n(l),null],border_top_color:[n(l),null],border_top_left_radius:[n(l),null],border_top_right_radius:[n(l),null],border_top_style:[n(l),null],border_top_width:[n(l),null],border_width:[n(l),null],bottom:[n(l),null],box_shadow:[n(l),null],box_sizing:[n(l),null],break_after:[n(l),null],break_before:[n(l),null],break_inside:[n(l),null],caption_side:[n(l),null],caret_color:[n(l),null],clear:[n(l),null],clip:[n(l),null],clip_path:[n(l),null],clip_rule:[n(l),null],color:[n(l),null],color_interpolation:[n(l),null],color_interpolation_filters:[n(l),null],column_count:[n(l),null],column_fill:[n(l),null],column_gap:[n(l),null],column_rule:[n(l),null],column_rule_color:[n(l),null],column_rule_style:[n(l),null],column_rule_width:[n(l),null],column_span:[n(l),null],column_width:[n(l),null],columns:[n(l),null],content:[n(l),null],counter_increment:[n(l),null],counter_reset:[n(l),null],css_float:[n(l),null],css_text:[n(l),null],cursor:[n(l),null],direction:[n(l),null],display:[n(l),null],dominant_baseline:[n(l),null],empty_cells:[n(l),null],fill:[n(l),null],fill_opacity:[n(l),null],fill_rule:[n(l),null],filter:[n(l),null],flex:[n(l),null],flex_basis:[n(l),null],flex_direction:[n(l),null],flex_flow:[n(l),null],flex_grow:[n(l),null],flex_shrink:[n(l),null],flex_wrap:[n(l),null],float:[n(l),null],flood_color:[n(l),null],flood_opacity:[n(l),null],font:[n(l),null],font_family:[n(l),null],font_feature_settings:[n(l),null],font_kerning:[n(l),null],font_size:[n(l),null],font_size_adjust:[n(l),null],font_stretch:[n(l),null],font_style:[n(l),null],font_synthesis:[n(l),null],font_variant:[n(l),null],font_variant_caps:[n(l),null],font_variant_east_asian:[n(l),null],font_variant_ligatures:[n(l),null],font_variant_numeric:[n(l),null],font_variant_position:[n(l),null],font_weight:[n(l),null],gap:[n(l),null],glyph_orientation_vertical:[n(l),null],grid:[n(l),null],grid_area:[n(l),null],grid_auto_columns:[n(l),null],grid_auto_flow:[n(l),null],grid_auto_rows:[n(l),null],grid_column:[n(l),null],grid_column_end:[n(l),null],grid_column_gap:[n(l),null],grid_column_start:[n(l),null],grid_gap:[n(l),null],grid_row:[n(l),null],grid_row_end:[n(l),null],grid_row_gap:[n(l),null],grid_row_start:[n(l),null],grid_template:[n(l),null],grid_template_areas:[n(l),null],grid_template_columns:[n(l),null],grid_template_rows:[n(l),null],height:[n(l),null],hyphens:[n(l),null],image_orientation:[n(l),null],image_rendering:[n(l),null],inline_size:[n(l),null],justify_content:[n(l),null],justify_items:[n(l),null],justify_self:[n(l),null],left:[n(l),null],letter_spacing:[n(l),null],lighting_color:[n(l),null],line_break:[n(l),null],line_height:[n(l),null],list_style:[n(l),null],list_style_image:[n(l),null],list_style_position:[n(l),null],list_style_type:[n(l),null],margin:[n(l),null],margin_block_end:[n(l),null],margin_block_start:[n(l),null],margin_bottom:[n(l),null],margin_inline_end:[n(l),null],margin_inline_start:[n(l),null],margin_left:[n(l),null],margin_right:[n(l),null],margin_top:[n(l),null],marker:[n(l),null],marker_end:[n(l),null],marker_mid:[n(l),null],marker_start:[n(l),null],mask:[n(l),null],mask_composite:[n(l),null],mask_image:[n(l),null],mask_position:[n(l),null],mask_repeat:[n(l),null],mask_size:[n(l),null],mask_type:[n(l),null],max_block_size:[n(l),null],max_height:[n(l),null],max_inline_size:[n(l),null],max_width:[n(l),null],min_block_size:[n(l),null],min_height:[n(l),null],min_inline_size:[n(l),null],min_width:[n(l),null],object_fit:[n(l),null],object_position:[n(l),null],opacity:[n(l),null],order:[n(l),null],orphans:[n(l),null],outline:[n(l),null],outline_color:[n(l),null],outline_offset:[n(l),null],outline_style:[n(l),null],outline_width:[n(l),null],overflow:[n(l),null],overflow_anchor:[n(l),null],overflow_wrap:[n(l),null],overflow_x:[n(l),null],overflow_y:[n(l),null],overscroll_behavior:[n(l),null],overscroll_behavior_block:[n(l),null],overscroll_behavior_inline:[n(l),null],overscroll_behavior_x:[n(l),null],overscroll_behavior_y:[n(l),null],padding:[n(l),null],padding_block_end:[n(l),null],padding_block_start:[n(l),null],padding_bottom:[n(l),null],padding_inline_end:[n(l),null],padding_inline_start:[n(l),null],padding_left:[n(l),null],padding_right:[n(l),null],padding_top:[n(l),null],page_break_after:[n(l),null],page_break_before:[n(l),null],page_break_inside:[n(l),null],paint_order:[n(l),null],perspective:[n(l),null],perspective_origin:[n(l),null],place_content:[n(l),null],place_items:[n(l),null],place_self:[n(l),null],pointer_events:[n(l),null],position:[n(l),null],quotes:[n(l),null],resize:[n(l),null],right:[n(l),null],rotate:[n(l),null],row_gap:[n(l),null],ruby_align:[n(l),null],ruby_position:[n(l),null],scale:[n(l),null],scroll_behavior:[n(l),null],shape_rendering:[n(l),null],stop_color:[n(l),null],stop_opacity:[n(l),null],stroke:[n(l),null],stroke_dasharray:[n(l),null],stroke_dashoffset:[n(l),null],stroke_linecap:[n(l),null],stroke_linejoin:[n(l),null],stroke_miterlimit:[n(l),null],stroke_opacity:[n(l),null],stroke_width:[n(l),null],tab_size:[n(l),null],table_layout:[n(l),null],text_align:[n(l),null],text_align_last:[n(l),null],text_anchor:[n(l),null],text_combine_upright:[n(l),null],text_decoration:[n(l),null],text_decoration_color:[n(l),null],text_decoration_line:[n(l),null],text_decoration_style:[n(l),null],text_emphasis:[n(l),null],text_emphasis_color:[n(l),null],text_emphasis_position:[n(l),null],text_emphasis_style:[n(l),null],text_indent:[n(l),null],text_justify:[n(l),null],text_orientation:[n(l),null],text_overflow:[n(l),null],text_rendering:[n(l),null],text_shadow:[n(l),null],text_transform:[n(l),null],text_underline_position:[n(l),null],top:[n(l),null],touch_action:[n(l),null],transform:[n(l),null],transform_box:[n(l),null],transform_origin:[n(l),null],transform_style:[n(l),null],transition:[n(l),null],transition_delay:[n(l),null],transition_duration:[n(l),null],transition_property:[n(l),null],transition_timing_function:[n(l),null],translate:[n(l),null],unicode_bidi:[n(l),null],user_select:[n(l),null],vertical_align:[n(l),null],visibility:[n(l),null],white_space:[n(l),null],widows:[n(l),null],width:[n(l),null],will_change:[n(l),null],word_break:[n(l),null],word_spacing:[n(l),null],word_wrap:[n(l),null],writing_mode:[n(l),null],z_index:[n(l),null]})))},\n",
-       "      function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n",
-       "      function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n",
-       "      function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n",
-       "      function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n",
-       "      function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under <body>`);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n",
-       "      function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n",
-       "      function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&r.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(`${e}`)}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){r.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach((e=>e.reject(\"Disconnected\"))),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){r.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";r.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){r.logger.error(`Closing connection: ${e}`),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=d,d.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new d(e,s,n).connect()}},\n",
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-       "      function _(e,t,n,s,o){s();const c=e(5),i=e(401),_=e(19);class r{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):_.logger.debug(`Doing nothing with message ${e.msgtype()}`)}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=i.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof c.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),s=i.Message.create(\"PATCH-DOC\",{},n);this._connection.send(s)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){_.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){_.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=r,r.__name__=\"ClientSession\"},\n",
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{});});\n",
-       "\n",
-       "      /* END bokeh.min.js */\n",
-       "    },\n",
-       "    \n",
-       "    function(Bokeh) {\n",
-       "      /* BEGIN bokeh-gl.min.js */\n",
-       "      /*!\n",
-       "       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n",
-       "       * All rights reserved.\n",
-       "       * \n",
-       "       * Redistribution and use in source and binary forms, with or without modification,\n",
-       "       * are permitted provided that the following conditions are met:\n",
-       "       * \n",
-       "       * Redistributions of source code must retain the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer.\n",
-       "       * \n",
-       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer in the documentation\n",
-       "       * and/or other materials provided with the distribution.\n",
-       "       * \n",
-       "       * Neither the name of Anaconda nor the names of any contributors\n",
-       "       * may be used to endorse or promote products derived from this software\n",
-       "       * without specific prior written permission.\n",
-       "       * \n",
-       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
-       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
-       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
-       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
-       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
-       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
-       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
-       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
-       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
-       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
-       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
-       "       */\n",
-       "      (function(root, factory) {\n",
-       "        factory(root[\"Bokeh\"], \"2.4.1\");\n",
-       "      })(this, function(Bokeh, version) {\n",
-       "        let define;\n",
-       "        return (function(modules, entry, aliases, externals) {\n",
-       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
-       "          if (bokeh != null) {\n",
-       "            return bokeh.register_plugin(modules, entry, aliases);\n",
-       "          } else {\n",
-       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
-       "          }\n",
-       "        })\n",
-       "      ({\n",
-       "      409: function _(n,c,f,i,o){i(),n(410)},\n",
-       "      410: function _(t,_,r,e,o){e();const g=t(1);\n",
-       "      /*\n",
-       "          Copyright notice: many of the awesome techniques and  GLSL code contained in\n",
-       "          this module are based on work by Nicolas Rougier as part of the Glumpy and\n",
-       "          Vispy projects. The algorithms are published in\n",
-       "          http://jcgt.org/published/0003/04/01/ and http://jcgt.org/published/0002/02/08/\n",
-       "          \n",
-       "          Other locations where we work with GL, or prepare for GL-rendering:\n",
-       "          - canvas.ts\n",
-       "          - plot.ts\n",
-       "          - glyph.ts\n",
-       "          - glyph_renderer.ts\n",
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_.optional((function(){function r(e,r,n){t.assert(e,n+\" in \"+a,\"invalid \"+r+\", must be one of \"+Object.keys(v))}r(f.then,e,n),t.assert(f.else,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e),r(f.else,e+\".rgb\",n+\".rgb\"),r(f.else,e+\".alpha\",n+\".alpha\")})),f.then(i,\"=\",o,\"=\",a,\"[\",n,\"];\"),f.else(i,\"=\",a,\"[\",n,\".rgb];\",o,\"=\",a,\"[\",n,\".alpha];\"),r(f),[i,o]}));case Pt:return f((function(e){return _.command(me(e)&&4===e.length,\"blend.color must be a 4d array\",t.commandStr),V(4,(function(t){return+e[t]}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in ',r,\"?\",n,\"[\",r,\".cmp]\",\":\",Qr),t.def(r,\".ref|0\"),t.def('\"mask\" in ',r,\"?\",r,\".mask|0:-1\")]}));case nr:case ar:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.fail||\"keep\",a=r.zfail||\"keep\",i=r.zpass||\"keep\";return _.commandParameter(n,Kr,e+\".fail\",t.commandStr),_.commandParameter(a,Kr,e+\".zfail\",t.commandStr),_.commandParameter(i,Kr,e+\".zpass\",t.commandStr),[e===ar?Nr:Hr,Kr[n],Kr[a],Kr[i]]}),(function(t,r,n){var a=t.constants.stencilOps;function i(i){return _.optional((function(){t.assert(r,'!(\"'+i+'\" in '+n+\")||(\"+n+\".\"+i+\" in \"+a+\")\",\"invalid \"+e+\".\"+i+\", must be one of \"+Object.keys(Kr))})),r.def('\"',i,'\" in ',n,\"?\",a,\"[\",n,\".\",i,\"]:\",Qr)}return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[e===ar?Nr:Hr,i(\"fail\"),i(\"zfail\"),i(\"zpass\")]}));case $t:return f((function(e){_.commandType(e,\"object\",o,t.commandStr);var r=0|e.factor,n=0|e.units;return _.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid 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t=r.id(a[e]);_.optional((function(){l.shader(Jr[e],t,_.guessCommand())}));var n=an((function(){return t}));return n.id=t,n}if(e in i){var o=i[e];return on(o,(function(t,r){var n=t.invoke(r,o),a=r.def(t.shared.strings,\".id(\",n,\")\");return _.optional((function(){r(t.shared.shader,\".shader(\",Jr[e],\",\",a,\",\",t.command,\");\")})),a}))}return null}var f,u=o(lr),s=o(cr),c=null;return nn(u)&&nn(s)?(c=l.program(s.id,u.id,null,n),f=an((function(e,t){return e.link(c)}))):f=new rn(u&&u.thisDep||s&&s.thisDep,u&&u.contextDep||s&&s.contextDep,u&&u.propDep||s&&s.propDep,(function(e,t){var r,n=e.shared.shader;r=u?u.append(e,t):t.def(n,\".\",lr);var a=n+\".program(\"+(s?s.append(e,t):t.def(n,\".\",cr))+\",\"+r;return _.optional((function(){a+=\",\"+e.command})),t.def(a+\")\")})),{frag:u,vert:s,progVar:f,program:c}}(e,0,h);function O(e){var t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var 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a=t.colorAttachments;for(r=0;r<a.length;++r)p(36064+r,a[r]);for(r=a.length;r<n.maxColorAttachments;++r)e.framebufferTexture2D(vt,36064+r,yt,null,0);e.framebufferTexture2D(vt,33306,yt,null,0),e.framebufferTexture2D(vt,36096,yt,null,0),e.framebufferTexture2D(vt,36128,yt,null,0),p(36096,t.depthAttachment),p(36128,t.stencilAttachment),p(33306,t.depthStencilAttachment);var i=e.checkFramebufferStatus(vt);e.isContextLost()||36053===i||_.raise(\"framebuffer configuration not supported, status = \"+St[i]),e.bindFramebuffer(vt,f.next?f.next.framebuffer:null),f.cur=f.next,e.getError()}function O(e,a){var i=new w;function l(e,t){var a;_(f.next!==i,\"can not update framebuffer which is currently in use\");var o=0,d=0,p=!0,g=!0,y=null,x=!0,w=\"rgba\",k=\"uint8\",O=1,E=null,T=null,D=null,j=!1;if(\"number\"==typeof e)o=0|e,d=0|t||o;else if(e){_.type(e,\"object\",\"invalid arguments for framebuffer\");var C=e;if(\"shape\"in C){var z=C.shape;_(Array.isArray(z)&&z.length>=2,\"invalid shape for 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m(B,o,d),_(!B||B.texture&&6402===B.texture._texture.format||B.renderbuffer&&33189===B.renderbuffer._renderbuffer.format,\"invalid depth attachment for framebuffer object\"),m(V,o,d),_(!V||V.renderbuffer&&36168===V.renderbuffer._renderbuffer.format,\"invalid stencil attachment for framebuffer object\"),m(I,o,d),_(!I||I.texture&&34041===I.texture._texture.format||I.renderbuffer&&34041===I.renderbuffer._renderbuffer.format,\"invalid depth-stencil attachment for framebuffer object\"),A(i),i.width=o,i.height=d,i.colorAttachments=F,i.depthAttachment=B,i.stencilAttachment=V,i.depthStencilAttachment=I,l.color=F.map(v),l.depth=v(B),l.stencil=v(V),l.depthStencil=v(I),l.width=i.width,l.height=i.height,S(i),l}return o.framebufferCount++,l(e,a),t(l,{resize:function(e,t){_(f.next!==i,\"can not resize a framebuffer which is currently in use\");var r=Math.max(0|e,1),n=Math.max(0|t||r,1);if(r===i.width&&n===i.height)return l;for(var a=i.colorAttachments,o=0;o<a.length;++o)g(a[o],r,n);return g(i.depthAttachment,r,n),g(i.stencilAttachment,r,n),g(i.depthStencilAttachment,r,n),i.width=l.width=r,i.height=l.height=n,S(i),l},_reglType:\"framebuffer\",_framebuffer:i,destroy:function(){k(i),A(i)},use:function(e){f.setFBO({framebuffer:l},e)}})}return t(f,{getFramebuffer:function(e){if(\"function\"==typeof e&&\"framebuffer\"===e._reglType){var t=e._framebuffer;if(t instanceof w)return t}return null},create:O,createCube:function(e){var i=Array(6);function o(e){var n;_(i.indexOf(f.next)<0,\"can not update framebuffer which is currently in use\");var s,l={color:null},d=0,m=null,p=\"rgba\",h=\"uint8\",b=1;if(\"number\"==typeof e)d=0|e;else if(e){_.type(e,\"object\",\"invalid arguments for framebuffer\");var v=e;if(\"shape\"in v){var g=v.shape;_(Array.isArray(g)&&g.length>=2,\"invalid shape for framebuffer\"),_(g[0]===g[1],\"cube framebuffer must be square\"),d=g[0]}else\"radius\"in v&&(d=0|v.radius),\"width\"in v?(d=0|v.width,\"height\"in v&&_(v.height===d,\"must be 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e=I.length-1;e>=0;--e){var t=I[e];t&&t(v,null,0)}a.flush(),m&&m.update()}function ce(){!Q&&I.length>0&&(Q=j.next(Y))}function le(){Q&&(j.cancel(Y),Q=null)}function de(e){e.preventDefault(),o=!0,le(),P.forEach((function(e){e()}))}function me(e){a.getError(),o=!1,f.restore(),k.restore(),x.restore(),S.restore(),O.restore(),E.restore(),A.restore(),m&&m.restore(),T.procs.refresh(),ce(),N.forEach((function(e){e()}))}function pe(e){function r(e,t){var r={},n={};return Object.keys(e).forEach((function(a){var i=e[a];if(D.isDynamic(i))n[a]=D.unbox(i,a);else{if(t&&Array.isArray(i))for(var o=0;o<i.length;++o)if(D.isDynamic(i[o]))return void(n[a]=D.unbox(i,a));r[a]=i}})),{dynamic:n,static:r}}_(!!e,\"invalid args to regl({...})\"),_.type(e,\"object\",\"invalid args to regl({...})\");var n=r(e.context||{},!0),a=r(e.uniforms||{},!0),i=r(e.attributes||{},!1),f=r(function(e){var r=t({},e);function n(e){if(e in r){var t=r[e];delete r[e],Object.keys(t).forEach((function(n){r[e+\".\"+n]=t[n]}))}}return 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w.create(e,!1)},texture:S.create2D,cube:S.createCube,renderbuffer:O.create,framebuffer:E.create,framebufferCube:E.createCube,vao:A.createVAO,attributes:i,frame:ve,on:function(e,t){var r;switch(_.type(t,\"function\",\"listener callback must be a function\"),e){case\"frame\":return ve(t);case\"lost\":r=P;break;case\"restore\":r=N;break;case\"destroy\":r=q;break;default:_.raise(\"invalid event, must be one of frame,lost,restore,destroy\")}return r.push(t),{cancel:function(){for(var e=0;e<r.length;++e)if(r[e]===t)return r[e]=r[r.length-1],void r.pop()}}},limits:y,hasExtension:function(e){return y.extensions.indexOf(e.toLowerCase())>=0},read:z,destroy:function(){I.length=0,le(),V&&(V.removeEventListener(cn,de),V.removeEventListener(ln,me)),k.clear(),E.clear(),O.clear(),A.clear(),S.clear(),w.clear(),x.clear(),m&&m.clear(),q.forEach((function(e){e()}))},_gl:a,_refresh:xe,poll:function(){ye(),m&&m.update()},now:we,stats:l});return n.onDone(null,Ae),Ae}},\"object\"==typeof r&&void 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-       "      413: function _(t,e,s,a,r){a();const n=t(414),_=t(12);class o{constructor(t){this._regl=t,this._map=new Map}_create_texture(t){const e=t.length;let s=0;const a=[];let r=0,_=0;for(let n=0;n<e;n++)s+=t[n],a.push(t[n]+t[(n+1)%e]),n%2==0?_=Math.max(_,t[n]):r=Math.min(r,-t[n]);r*=.5,_*=.5;const o=(0,n.gcd)(a),c=[0];for(let s=0;s<e;s++)c.push(c[s]+t[s]);const h=2*s/o,i=(0,n.is_pow_2)(h),l=i?h:128,g=.5*o*h/l;let p;if(i){if(p=.5*t[0],g<p){p-=Math.floor(p/g)*g}}else p=0;const u=p-.5*g,m=new Uint8Array(l);let f=0;for(let e=0;e<l;e++){const s=p+e*g;s>c[f+1]&&f++;const a=t[f],n=c[f]+.5*a;let o=.5*a-Math.abs(s-n);f%2==1&&(o=-o),m[e]=Math.round(255*(o-r)/(_-r))}return[[s,u,r,_],this._regl.texture({shape:[l,1,1],data:m,wrapS:\"repeat\",format:\"alpha\",type:\"uint8\",mag:\"linear\",min:\"linear\"})]}_get_key(t){return t.join(\",\")}_get_or_create(t){const e=this._get_key(t);let s=this._map.get(e);if(null==s){const a=(0,n.gcd)(t);if(a>1){t=(0,_.map)(t,(t=>t/a)),s=this._get_or_create(t);const[r,n,o]=s;s=[r,n,a],this._map.set(e,s)}else{const[r,n]=this._create_texture(t);s=[r,n,a],this._map.set(e,s)}}return s}get(t){return t.length%2==1&&(t=t.slice(0,-1)),this._get_or_create(t)}}s.DashCache=o,o.__name__=\"DashCache\"},\n",
-       "      414: function _(n,t,e,r,o){function u(n,t){let e,r;n>t?(e=n,r=t):(e=t,r=n);let o=e%r;for(;0!=o;)e=r,r=o,o=e%r;return r}r(),e.gcd=function(n){let t=n[0];for(let e=1;e<n.length;e++)t=u(t,n[e]);return t},e.is_pow_2=function(n){return!(n&n-1||!n)}},\n",
-       "      415: function _(n,t,i,e,_){e();i.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap   = 0;\\nconst int round_cap  = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nconst float missing_point_threshold = -9000.0;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_point_prev;\\nattribute vec2 a_point_start;\\nattribute vec2 a_point_end;\\nattribute vec2 a_point_next;\\n#ifdef DASHED\\nattribute float a_length_so_far;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform float u_miter_limit;\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;  // Booleans for start/end caps and miters too long.\\nvarying float v_cos_theta_turn_right_start;  // Sign gives turn_right, abs gives\\nvarying float v_cos_theta_turn_right_end;    //   cos(theta).\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n    return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n    return vec2(v.y, -v.x);\\n}\\n\\nvec2 line_intersection(in vec2 point0, in vec2 dir0,\\n                       in vec2 point1, in vec2 dir1)\\n{\\n    // Line-line intersection: point0 + lambda0 dir0 = point1 + lambda1 dir1.\\n    // Not checking if lines are parallel!\\n    float lambda0 = cross_z(point1 - point0, dir1) / cross_z(dir0, dir1);\\n    return point0 + lambda0*dir0;\\n}\\n\\nvoid main()\\n{\\n    if (a_point_start.x < missing_point_threshold ||\\n        a_point_end.x < missing_point_threshold) {\\n        // Line segment has non-finite value at one or both ends, do not render.\\n        gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n        return;\\n    }\\n\\n    const float min_miter_factor_round_join_mesh = sqrt(2.0);\\n\\n    int join_type = int(u_line_join + 0.5);\\n    int cap_type = int(u_line_cap + 0.5);\\n    float halfwidth = 0.5*(u_linewidth + u_antialias);\\n    vec2 segment_along = normalize(a_point_end - a_point_start); // unit vector.\\n    v_segment_length = length(a_point_end - a_point_start);\\n    vec2 segment_right = right_vector(segment_along);  // unit vector.\\n    vec2 xy;\\n\\n    bool miter_too_large_start = false;\\n    bool miter_too_large_end = false;\\n\\n    v_coords.y = a_position.y*halfwidth;  // Overwritten later for end points.\\n\\n    bool has_start_cap = a_point_prev.x < missing_point_threshold;\\n    bool has_end_cap = a_point_next.x < missing_point_threshold;\\n\\n    vec2 point_normal_start;\\n    float cos_theta_start;\\n    float turn_right_start;\\n    if (has_start_cap)\\n        point_normal_start = segment_right;\\n    else {\\n        vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n        point_normal_start = normalize(segment_right + prev_right);\\n        cos_theta_start = dot(segment_right, point_normal_start);  // Always +ve\\n        turn_right_start = sign(dot(segment_right, a_point_prev - a_point_start));\\n    }\\n\\n    vec2 point_normal_end;\\n    float cos_theta_end;\\n    float turn_right_end;\\n    if (has_end_cap)\\n        point_normal_end = segment_right;\\n    else {\\n        vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n        point_normal_end = normalize(segment_right + next_right);\\n        cos_theta_end = dot(segment_right, point_normal_end);  // Always +ve\\n        turn_right_end = sign(dot(segment_right, a_point_next - a_point_end));\\n    }\\n\\n    float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n    float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n    if (join_type == miter_join) {\\n        // If miter too large, use bevel join instead.\\n        miter_too_large_start = (miter_factor_start > u_miter_limit);\\n        miter_too_large_end = (miter_factor_end > u_miter_limit);\\n    }\\n\\n    float sign_at_start = -sign(a_position.x);  // +ve at segment start, -ve end.\\n    vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n    vec2 adjacent_point =\\n        sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n                            : (has_end_cap ? a_point_end : a_point_next);\\n\\n    if ( (has_start_cap && sign_at_start > 0.0) ||\\n         (has_end_cap && sign_at_start < 0.0) ) {\\n        // Cap.\\n        xy = point - segment_right*(halfwidth*a_position.y);\\n        if (cap_type == butt_cap)\\n            xy -= sign_at_start*0.5*u_antialias*segment_along;\\n        else\\n            xy -= sign_at_start*halfwidth*segment_along;\\n    }\\n    else { // Join.\\n        // +ve if turning to right, -ve if to left.\\n        float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n        vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n        vec2 point_right = normalize(segment_right + adjacent_right);\\n        float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n        bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n        if (abs(a_position.x) > 1.5) {\\n            // Outer point, meets prev/next segment.\\n            float factor;  // multiplied by halfwidth...\\n\\n            if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n                factor = 1.0 / miter_factor;  // cos_theta.\\n            else if (join_type == round_join &&\\n                     miter_factor > min_miter_factor_round_join_mesh)\\n                factor = 1.0;\\n            else  // miter, or round (small angle only).\\n                factor = miter_factor;\\n\\n            xy = point - point_right*(halfwidth*turn_sign*factor);\\n            v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n        }\\n        else if (turn_sign*a_position.y < 0.0) {\\n            // Inner point, meets prev/next segment.\\n            float len = halfwidth*miter_factor;\\n            float segment_len = v_segment_length;\\n            float adjacent_len = distance(point, adjacent_point);\\n\\n            if (len <= min(segment_len, adjacent_len))\\n                // Normal behaviour.\\n                xy = point - point_right*(len*a_position.y);\\n            else\\n                // For short wide line segments the inner point using the above\\n                // calculation can be outside of the line.  Here clipping it.\\n                xy = point + segment_right*(halfwidth*turn_sign);\\n        }\\n        else {\\n            // Point along outside edge.\\n            xy = point - segment_right*(halfwidth*a_position.y);\\n            if (join_type == round_join &&\\n                miter_factor > min_miter_factor_round_join_mesh) {\\n                xy = line_intersection(xy, segment_along,\\n                                       point - turn_sign*point_right*halfwidth,\\n                                       right_vector(point_right));\\n            }\\n        }\\n    }\\n\\n    vec2 pos = xy + 0.5;  // Bokeh's offset.\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n    v_coords.x = dot(xy - a_point_start, segment_along);\\n    v_flags = float(int(has_start_cap) +\\n                    2*int(has_end_cap) +\\n                    4*int(miter_too_large_start) +\\n                    8*int(miter_too_large_end));\\n    v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n    v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n    v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n",
-       "      416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap   = 0;\\nconst int round_cap  = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n    return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n    // +ve if point to right of line.\\n    // Alternatively could do dot product with right_vector.\\n    return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n    return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n    return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n    float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n                                                  : v_cos_theta_turn_right_end;\\n    float cos_theta = abs(cos_theta_turn_right);\\n    float turn_right = sign(cos_theta_turn_right);\\n    float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n    // In v_coords reference frame (x is along segment, y across).\\n    vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n    float sin_alpha = cos_theta;\\n    float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n    vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n    return halfwidth + sign_start*point_line_distance(\\n        v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n    // x is distance along segment in direction away from end of segment,\\n    // y is distance across segment.\\n    if (cap_type == butt_cap)\\n        return max(0.5*u_linewidth - x, abs(y));\\n    else if (cap_type == square_cap)\\n        return max(-x, abs(y));\\n    else  // cap_type == round_cap\\n        return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n    return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n                            0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n    // x is in direction of v_coords.x, i.e. along segment.\\n    float tex_length = u_dash_tex_info.x;\\n    float tex_offset = u_dash_tex_info.y;\\n    float tex_dist_min = u_dash_tex_info.z;\\n    float tex_dist_max = u_dash_tex_info.w;\\n\\n    // Apply offset.\\n    x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n    // Interpolate within texture to obtain distance to dash.\\n    float dist = texture2D(u_dash_tex,\\n                           vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n    // Scale distance within min and max limits.\\n    dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n    return u_dash_scale*dist;\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n    // Rotation matrix for v_coords from this segment to prev or next segment.\\n    float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n                                                  : v_cos_theta_turn_right_end;\\n    float cos_theta = abs(cos_theta_turn_right);\\n    float turn_right = sign(cos_theta_turn_right);\\n\\n    float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n    float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n    float sin_2theta = 2.0*sin_theta*cos_theta;\\n    return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n    int join_type = int(u_line_join + 0.5);\\n    int cap_type = int(u_line_cap + 0.5);\\n    float halfwidth = 0.5*(u_linewidth + u_antialias);\\n\\n    // Extract flags.\\n    int flags = int(v_flags + 0.5);\\n    bool miter_too_large_end = (flags / 8 > 0);\\n    flags -= 8*int(miter_too_large_end);\\n    bool miter_too_large_start = (flags / 4 > 0);\\n    flags -= 4*int(miter_too_large_start);\\n    bool has_end_cap = (flags / 2 > 0);\\n    flags -= 2*int(has_end_cap);\\n    bool has_start_cap = flags > 0;\\n\\n    float dist = v_coords.y;  // For straight segment, and miter join.\\n\\n    if (v_coords.x <= 0.5*u_antialias) {\\n        // At start of segment, either cap or join.\\n        if (has_start_cap)\\n            dist = cap(cap_type, v_coords.x, v_coords.y);\\n        else if (join_type == round_join)\\n            dist = distance(v_coords, vec2(0.0, 0.0));\\n        else if (join_type == bevel_join ||\\n                 (join_type == miter_join && miter_too_large_start))\\n            dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n        // else a miter join which uses the default dist calculation.\\n    }\\n    else if (v_coords.x >= v_segment_length - 0.5*u_antialias) {\\n        // At end of segment, either cap or join.\\n        if (has_end_cap)\\n            dist = cap(cap_type, v_segment_length - v_coords.x, v_coords.y);\\n        else if (join_type == round_join)\\n            dist = distance(v_coords, vec2(v_segment_length, 0));\\n        else if ((join_type == bevel_join ||\\n                 (join_type == miter_join && miter_too_large_end)))\\n            dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n        // else a miter join which uses the default dist calculation.\\n    }\\n\\n    float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n    if (u_dash_tex_info.x >= 0.0) {\\n        // Dashes in straight segments (outside of joins) are easily calculated.\\n        dist = dash_distance(v_coords.x);\\n\\n        if (!has_start_cap && cap_type == butt_cap) {\\n            if (v_coords.x < 0.5*u_antialias) {\\n                // Outer of start join rendered solid color or not at all\\n                // depending on whether corner point is in dash or gap, with\\n                // antialiased ends.\\n                dist = (dash_distance(0.0) > 0.0 ? 0.5*u_antialias - v_coords.x\\n                                                 : -0.5*u_linewidth);\\n\\n                // Also consider antialiased end of dash just outside corner.\\n                float end_dist = dash_distance(0.5*u_antialias) + v_coords.x -\\n                    0.5*u_antialias;\\n                dist = max(dist, end_dist);\\n            }\\n\\n            vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n            if (abs(prev_coords.y) < halfwidth &&\\n                prev_coords.x < 0.5*u_antialias) {\\n                // Extend dashes across from previous segment, with antialiased\\n                // end.\\n                float new_dist = dash_distance(min(prev_coords.x,\\n                                                   -0.5*u_antialias));\\n\\n                if (prev_coords.x > -0.5*u_antialias)\\n                    new_dist -= prev_coords.x + 0.5*u_antialias;\\n\\n                new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n                dist = max(dist, new_dist);\\n            }\\n        }\\n\\n        if (!has_end_cap && cap_type == butt_cap) {\\n            if (v_coords.x > v_segment_length - 0.5*u_antialias) {\\n                // Similar for end join.\\n                dist = (dash_distance(v_segment_length) > 0.0\\n                            ? v_coords.x - v_segment_length + 0.5*u_antialias\\n                            : -0.5*u_linewidth);\\n\\n                float end_dist =\\n                    dash_distance(v_segment_length - 0.5*u_antialias) -\\n                    v_coords.x + v_segment_length - 0.5*u_antialias;\\n                dist = max(dist, end_dist);\\n            }\\n\\n            vec2 next_coords =\\n                rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n            if (abs(next_coords.y) < halfwidth &&\\n                next_coords.x > -0.5*u_antialias) {\\n                // Extend dashes across from next segment, with antialiased end.\\n                float new_dist = dash_distance(v_segment_length +\\n                    max(next_coords.x, 0.5*u_antialias));\\n\\n                if (next_coords.x < 0.5*u_antialias)\\n                    new_dist += next_coords.x - 0.5*u_antialias;\\n\\n                new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n                dist = max(dist, new_dist);\\n            }\\n        }\\n\\n        dist = cap(cap_type, dist, v_coords.y);\\n\\n        float dash_alpha = distance_to_alpha(dist);\\n        alpha = min(alpha, dash_alpha);\\n    }\\n#endif\\n\\n    alpha = u_line_color.a*alpha;\\n    gl_FragColor = vec4(u_line_color.rgb*alpha, alpha);  // Premultiplied alpha.\\n}\\n\"},\n",
-       "      417: function _(n,i,o,a,t){a();o.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_show;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying vec2 v_coords;\\n\\nvoid main()\\n{\\n    v_size = a_size;\\n    v_linewidth = a_linewidth;\\n    v_line_color = a_line_color;\\n    v_fill_color = a_fill_color;\\n\\n    if (a_show < 0.5) {\\n      // Do not show this marker.\\n      gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n      return;\\n    }\\n\\n    float enclosing_size = v_size + 2.0*v_linewidth + 3.0*u_antialias;\\n\\n    // Coordinates in rotated frame with respect to center of marker, used in\\n    // distance functions in fragment shader.\\n    v_coords = a_position*enclosing_size;\\n\\n    float c = cos(-a_angle);\\n    float s = sin(-a_angle);\\n    mat2 rotation = mat2(c, -s, s, c);\\n\\n    vec2 pos = a_center + rotation*v_coords;\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n",
-       "      418: function _(n,a,e,t,s){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float SQRT_3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\nuniform float u_antialias;\\n\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_coords;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / 2.0;\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n    float cross = min(abs(P.x), abs(P.y));\\n    // Result is union of masked shapes\\n    float result = min(max(X, diamond), max(cross, square));\\n    return max(result - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    return max(length(P) - size/8.0 - v_linewidth/15.0 + u_antialias, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size/2.0;\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(circle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(square, dot_);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    float diamond = r1 / SQRT_2;\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(diamond, dot_);\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_HEX_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    float hex = max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(hex, dot_);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n    float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n    P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n    P -= size*vec2(COS_A, SIN_A)/2.;\\n    P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n    return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_STAR_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n    P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n    P -= size*vec2(COS_A, SIN_A)/2.;\\n    P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n    float star = length(P)*sign(P.x);\\n    return max(star, dot_);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    float triangle = max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n    return max(triangle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n    float cross = min(abs(P.x), abs(P.y));\\n    cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n    return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n    float cross = abs(P.y);\\n    cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n    return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 2.0;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n    X = max(X - v_linewidth/2.0, 0.0);\\n    return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 2.0;\\n\\n    float dx = 1.0 / SQRT_3;\\n    float dy = SQRT_2 / SQRT_3;\\n\\n    // Sideways distance from the three spokes.\\n    float d0 = abs(P.x);\\n    float d1 = abs(dot(P, vec2(dx, dy)));\\n    float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n    // Clip each spoke to semicircle.\\n    d0 = max(d0, -P.y);\\n    d1 = max(d1, dot(P, vec2(-dy, dx)));\\n    d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n    float Y = min(min(d0, d1), d2);\\n    Y = max(Y - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n    return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size/2.0;\\n\\n    float dx = 1.0 / SQRT_3;\\n    float dy = SQRT_2 / SQRT_3;\\n\\n    // Sideways distance from the three spokes.\\n    float d0 = abs(P.x);\\n    float d1 = abs(dot(P, vec2(dx, dy)));\\n    float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n    // Clip each spoke to semicircle.\\n    d0 = max(d0, -P.y);\\n    d1 = max(d1, dot(P, vec2(-dy, dx)));\\n    d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n    float Y = min(min(d0, d1), d2);\\n    Y = min(v_linewidth/2.0 - u_antialias/2.0 - Y, 0.0);\\n\\n    return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 size2 = vec2(size*0.5, size*0.2);\\n    P = abs(P);\\n    P = (P.y > P.x) ? P.yx : P.xy;\\n    vec2 q = P - size2;\\n    float k = max(q.y, q.x);\\n    vec2 w = (k > 0.0) ? q : vec2(size2.y - P.x, -k);\\n    return sign(k)*length(max(w, 0.0));\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n    float actual_size = size*1.2;\\n    float radius = 0.75*actual_size; // Radius of curvature of edges.\\n    float offset = actual_size/2.0 + sqrt(radius*radius - actual_size*actual_size/4.0);\\n    vec2 centerx = vec2(offset, 0.0);\\n    vec2 centery = vec2(0.0, offset);\\n\\n    float right = length(P - centerx);\\n    float left = length(P + centerx);\\n    float up = length(P - centery);\\n    float down = length(P + centery);\\n    float pin = radius - min(min(right, left), min(up, down));\\n\\n    float circle = length(P) - actual_size*0.6;\\n    return max(circle, pin);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n    float actual_size = size*1.2;\\n    float radius = 1.2*actual_size; // Radius of curvature of edges.\\n\\n    float angle = 2.0*PI / 3.0;\\n    float c = cos(angle);\\n    float s = sin(angle);\\n    mat2 rotation = mat2(c, -s, s, c);\\n\\n    // Half the length of straight triangle edge.\\n    float half_edge = actual_size*SQRT_3/4.0;\\n    // Distance from center of triangle to middle of straight edge.\\n    float centre_middle_edge = 0.25*actual_size;\\n    float offset = centre_middle_edge + sqrt(radius*radius - half_edge*half_edge);\\n    // Centre of curvature.\\n    vec2 center = vec2(0.0, offset);\\n\\n    float dist0 = length(P - center);\\n    P = rotation*P;\\n    float dist1 = length(P - center);\\n    P = rotation*P;\\n    float dist2 = length(P - center);\\n    float pin = radius - min(min(dist0, dist1), dist2);\\n\\n    float circle = length(P) - actual_size / 2.0;\\n    return max(circle, pin);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 line_color,\\n             vec4 fill_color)\\n{\\n    vec4 frag_color;\\n    float t = min(linewidth/2.0 - antialias, 0.0);  // Line half-width.\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If line alpha is zero, it probably means no outline. To avoid a dark\\n    // outline shining through due to antialiasing, we set the line color to the\\n    // fill color.\\n    float select = float(bool(line_color.a));\\n    line_color.rgb = select*line_color.rgb + (1.0 - select)*fill_color.rgb;\\n    // Similarly, if we want a transparent fill.\\n    select = float(bool(fill_color.a));\\n    fill_color.rgb = select*fill_color.rgb + (1.0 - select)*line_color.rgb;\\n\\n    if (border_distance < 0.0)\\n        frag_color = line_color;\\n    else if (signed_distance < 0.0)\\n        frag_color = mix(fill_color, line_color, sqrt(alpha));\\n    else {\\n        if (abs(signed_distance) < linewidth/2.0 + antialias)\\n            frag_color = vec4(line_color.rgb, line_color.a*alpha);\\n        else\\n            discard;\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    float distance = marker(v_coords, v_size);\\n    gl_FragColor = outline(\\n        distance, v_linewidth, u_antialias, v_line_color, v_fill_color);\\n    gl_FragColor.rgb *= gl_FragColor.a;  // Premultiplied alpha.\\n}\\n\"},\n",
-       "      419: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n  if (a_show < 0.5) {\\n    // Do not show this rect.\\n    gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n    return;\\n  }\\n\\n  v_size = vec2(a_width, a_height);\\n  v_linewidth = a_linewidth;\\n  v_line_color = a_line_color;\\n  v_fill_color = a_fill_color;\\n  v_line_join = a_line_join;\\n\\n  if (v_linewidth < 1.0) {\\n    // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n    v_line_color.a *= v_linewidth;\\n    v_linewidth = 1.0;\\n  }\\n\\n#ifdef HATCH\\n  v_hatch_pattern = a_hatch_pattern;\\n  v_hatch_scale = a_hatch_scale;\\n  v_hatch_weight = a_hatch_weight;\\n  v_hatch_color = a_hatch_color;\\n#endif\\n\\n  vec2 enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n  // Coordinates in rotated frame with respect to center of marker, used for\\n  // distance functions in fragment shader.\\n  v_coords = a_position*enclosing_size;\\n\\n  float c = cos(-a_angle);\\n  float s = sin(-a_angle);\\n  mat2 rotation = mat2(c, -s, s, c);\\n\\n  vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n  // Coordinates for hatching in unrotated frame of reference.\\n  v_hatch_coords = pos - 0.5;\\n#endif\\n  pos += 0.5; // Make up for Bokeh's offset.\\n  pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n  gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n",
-       "      420: function _(n,a,t,o,r){o();t.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float INVSQRT2 = 1.0/SQRT2;\\nconst float PI = 3.14159265358979323846;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\nfloat marker_distance(vec2 p, int line_join)\\n{\\n  vec2 dist2 = abs(p) - v_size/2.0;\\n  float dist = max(dist2.x, dist2.y);\\n\\n  if (dist2.x > 0.0 && dist2.y > 0.0) {\\n    // Outside of corner needs correct join, default is miter.\\n    if (line_join == round_join)\\n      dist = length(dist2);\\n    else if (line_join == bevel_join) {\\n      vec2 normal = vec2(INVSQRT2, INVSQRT2);\\n      dist = dot(dist2, normal) + 0.5*v_linewidth*(1.0 - INVSQRT2);\\n    }\\n  }\\n\\n  return dist;\\n}\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(float dist)\\n{\\n  return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(float dist)\\n{\\n  return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(float dist)\\n{\\n  return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(vec4 color, float fraction)\\n{\\n  color.a *= fraction;\\n  color.rgb *= color.a;\\n  return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(vec4 src, vec4 dest)\\n{\\n  return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(float x)\\n{\\n  return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(vec2 xy)\\n{\\n  return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(vec2 coords, int hatch_pattern)\\n{\\n  float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n  // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n  coords = coords / scale;\\n  float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n  // Default is to return fraction of zero, i.e. no pattern.\\n  float dist = u_antialias;\\n\\n  if (hatch_pattern == hatch_dot) {\\n    const float dot_radius = 0.25;\\n    dist = length(wrap(coords)) - dot_radius;\\n  }\\n  else if (hatch_pattern == hatch_ring) {\\n    const float ring_radius = 0.25;\\n    dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_line) {\\n    dist = abs(wrap(coords.y)) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_line) {\\n    dist = abs(wrap(coords.x)) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_cross) {\\n    dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_dash) {\\n    // Dashes have square caps.\\n    const float halflength = 0.25;\\n    dist = max(abs(wrap(coords.y)),\\n               abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_dash) {\\n    const float halflength = 0.25;\\n    dist = max(abs(wrap(coords.x)),\\n               abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_spiral) {\\n    vec2 wrap2 = wrap(coords);\\n    float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n    // Canvas spiral radius increases by scale*pi/15 each rotation.\\n    const float dr = PI/15.0;\\n    float radius = length(wrap2);\\n    // At any angle, spiral lines are equally spaced dr apart.\\n    // Find distance to nearest of these lines.\\n    float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n    dist = dr*(abs(frac - 0.5));\\n    dist = min(dist, radius) - halfwidth; // Consider center point also.\\n  }\\n  else if (hatch_pattern == hatch_right_diagonal_line) {\\n    dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_left_diagonal_line) {\\n    dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_diagonal_cross) {\\n    coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n    dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_right_diagonal_dash) {\\n    float across = coords.x + coords.y + 0.5;\\n    dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n    across = floor(across); // Offset for dash.\\n    float along = wrap(0.5*(coords.x - coords.y + across));\\n    const float halflength = 0.25;\\n    along = abs(along) - halflength; // Distance along line.\\n\\n    dist = max(dist, along) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_left_diagonal_dash) {\\n    float across = coords.x - coords.y + 0.5;\\n    dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n    across = floor(across); // Offset for dash.\\n    float along = wrap(0.5*(coords.x + coords.y + across));\\n    const float halflength = 0.25;\\n    along = abs(along) - halflength; // Distance along line.\\n\\n    dist = max(dist, along) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_wave) {\\n    float wrapx = wrap(coords.x);\\n    float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n    dist = abs(wrapy) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_wave) {\\n    float wrapy = wrap(coords.y);\\n    float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n    dist = abs(wrapx) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_criss_cross) {\\n    float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n    coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n    float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n    dist = min(plus, X) - halfwidth;\\n  }\\n\\n  return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n  int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n  int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n  float dist = marker_distance(v_coords, line_join);\\n\\n  float fill_frac = fill_fraction(dist);\\n  vec4 color = fractional_color(v_fill_color, fill_frac);\\n\\n#ifdef HATCH\\n  if (hatch_pattern > 0 && fill_frac > 0.0) {\\n    float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n    vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n    color = blend_colors(hatch_color, color);\\n  }\\n#endif\\n\\n  float line_frac = line_fraction(dist);\\n  if (line_frac > 0.0) {\\n    vec4 line_color = fractional_color(v_line_color, line_frac);\\n    color = blend_colors(line_color, color);\\n  }\\n\\n  gl_FragColor = color;\\n}\\n\"},\n",
-       "      421: function _(s,i,t,e,_){e();const h=s(422),l=s(22),a=s(46),n=s(423),o=s(424),r=-1e4;class p extends h.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const e=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),e.data_changed&&(e._set_data(),e.data_changed=!1);const _=this.glyph.visuals.line,h=n.cap_lookup[_.line_cap.value],l=n.join_lookup[_.line_join.value];if(this._is_dashed()){const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h,length_so_far:e._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset};this.regl_wrapper.dashed_line()(s)}else{const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h};this.regl_wrapper.solid_line()(s)}}_is_dashed(){return this._line_dash.length>0}_set_data(){const s=this.glyph.sx.length;this._nsegments=s-1,null==this._is_closed&&(this._is_closed=this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0])),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const i=this._points.get_sized_array(2*(s+2));for(let t=1;t<s+1;t++)isFinite(this.glyph.sx[t-1])&&isFinite(this.glyph.sy[t-1])?(i[2*t]=this.glyph.sx[t-1],i[2*t+1]=this.glyph.sy[t-1]):(i[2*t]=r,i[2*t+1]=r);if(this._is_closed?(i[0]=i[2*s-2],i[1]=i[2*s-1],i[2*s+2]=i[4],i[2*s+3]=i[5]):(i[0]=r,i[1]=r,i[2*s+2]=r,i[2*s+3]=r),this._points.update(),this._is_dashed()){null==this._length_so_far&&(this._length_so_far=new o.Float32Buffer(this.regl_wrapper));const s=this._length_so_far.get_sized_array(this._nsegments);let t=0;for(let e=0;e<this._nsegments;e++)s[e]=t,i[2*e+2]>-9e3&&i[2*e+4]>-9e3&&(t+=Math.sqrt((i[2*e+4]-i[2*e+2])**2+(i[2*e+5]-i[2*e+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),1==this._line_dash.length&&this._line_dash.push(this._line_dash[0]),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=p,p.__name__=\"LineGL\"},\n",
-       "      422: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n",
-       "      423: function _(a,o,i,n,l){n();const t=a(52);i.cap_lookup={butt:0,round:1,square:2},i.join_lookup={miter:0,round:1,bevel:2};const _={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};i.hatch_pattern_to_index=function(a){var o,i;return null!==(i=_[null!==(o=t.hatch_aliases[a])&&void 0!==o?o:a])&&void 0!==i?i:0}},\n",
-       "      424: function _(r,t,a,e,s){e();const i=r(423),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e<t;e++)a[e]=r[e];this.update()}set_from_prop(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=r.get(t);this.update(r.is_Scalar())}to_attribute_config(r=0){return{buffer:this.buffer,divisor:this.is_scalar?0:1,normalized:this.is_normalized(),offset:r}}update(r=!1){null==this.buffer?this.buffer=this.regl_wrapper.buffer({usage:\"dynamic\",data:this.array}):this.buffer({data:this.array}),this.is_scalar=r}}n.__name__=\"WrappedBuffer\";class l extends n{new_array(r){return new Float32Array(r)}}a.Float32Buffer=l,l.__name__=\"Float32Buffer\";class o extends n{new_array(r){return new Uint8Array(r)}set_from_color(r,t,a=4){const e=r.is_Scalar()&&t.is_Scalar(),s=e?a:r.length,i=this.get_sized_array(4*s);for(let a=0;a<s;a++){const[e,s,n,l]=(0,_.color2rgba)(r.get(a),t.get(a));i[4*a]=e,i[4*a+1]=s,i[4*a+2]=n,i[4*a+3]=l}this.update(e)}set_from_hatch_pattern(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=(0,i.hatch_pattern_to_index)(r.get(t));this.update(r.is_Scalar())}set_from_line_join(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.join_lookup[r.get(t)];this.update(r.is_Scalar())}}a.Uint8Buffer=o,o.__name__=\"Uint8Buffer\";class h extends o{is_normalized(){return!0}}a.NormalizedUint8Buffer=h,h.__name__=\"NormalizedUint8Buffer\"},\n",
-       "      425: function _(t,h,s,i,e){i();const _=t(422),a=t(424),r=-1e4;class l extends _.BaseGLGlyph{constructor(t,h){super(t,h),this.glyph=h,this._antialias=1.5}draw(t,h,s){const i=h.glglyph;i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const e=i._centers.length/2;null==this._show&&(this._show=new a.Uint8Buffer(this.regl_wrapper));const _=this._show.length,r=this._show.get_sized_array(e);if(t.length<e){this._show_all=!1;for(let t=0;t<e;t++)r[t]=0;for(let h=0;h<t.length;h++)r[t[h]]=255}else if(!this._show_all||_!=e){this._show_all=!0;for(let t=0;t<e;t++)r[t]=255}if(this._show.update(),this._have_hatch){const t={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[s.width,s.height],pixel_ratio:s.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,nmarkers:e,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_join:this._line_joins,show:this._show,hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba};this.regl_wrapper.rect_hatch()(t)}else{const t={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[s.width,s.height],pixel_ratio:s.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,nmarkers:e,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_join:this._line_joins,show:this._show};this.regl_wrapper.rect_no_hatch()(t)}}_set_data(){const t=this.glyph.sx.length;null==this._centers&&(this._centers=new a.Float32Buffer(this.regl_wrapper),this._widths=new a.Float32Buffer(this.regl_wrapper),this._heights=new a.Float32Buffer(this.regl_wrapper),this._angles=new a.Float32Buffer(this.regl_wrapper));const h=this._centers.get_sized_array(2*t);for(let s=0;s<t;s++)isFinite(this.glyph.sx[s])&&isFinite(this.glyph.sy[s])?(h[2*s]=this.glyph.sx[s],h[2*s+1]=this.glyph.sy[s]):(h[2*s]=r,h[2*s+1]=r);this._centers.update(),this._widths.set_from_array(this.glyph.sw),this._heights.set_from_array(this.glyph.sh),this._angles.set_from_prop(this.glyph.angle)}_set_visuals(){const t=this.glyph.visuals.fill,h=this.glyph.visuals.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(h.line_width),this._line_joins.set_from_line_join(h.line_join),this._line_rgba.set_from_color(h.line_color,h.line_alpha),this._fill_rgba.set_from_color(t.fill_color,t.fill_alpha),this._have_hatch=this.glyph.visuals.hatch.doit,this._have_hatch){const t=this.glyph.visuals.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(t.hatch_pattern),this._hatch_scales.set_from_prop(t.hatch_scale),this._hatch_weights.set_from_prop(t.hatch_weight),this._hatch_rgba.set_from_color(t.hatch_color,t.hatch_alpha)}}}s.RectGL=l,l.__name__=\"RectGL\"},\n",
-       "      426: function _(s,e,t,i,a){i();const r=s(422),l=s(424),_=-1e4;function h(s){return\"Circle\"==s.model.type}class n extends r.BaseGLGlyph{constructor(s,e,t){super(s,e),this.glyph=e,this.marker_type=t,this._marker_type=t,this._antialias=.8,this._show_all=!1}static is_supported(s){switch(s){case\"asterisk\":case\"circle\":case\"circle_cross\":case\"circle_dot\":case\"circle_x\":case\"circle_y\":case\"cross\":case\"dash\":case\"diamond\":case\"diamond_cross\":case\"diamond_dot\":case\"dot\":case\"hex\":case\"hex_dot\":case\"inverted_triangle\":case\"plus\":case\"square\":case\"square_cross\":case\"square_dot\":case\"square_pin\":case\"square_x\":case\"star\":case\"star_dot\":case\"triangle\":case\"triangle_dot\":case\"triangle_pin\":case\"x\":case\"y\":return!0;default:return!1}}draw(s,e,t){const i=e.glglyph;(i.data_changed||h(this.glyph))&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const a=i._centers.length/2;null==this._show&&(this._show=new l.Uint8Buffer(this.regl_wrapper));const r=this._show.length,_=this._show.get_sized_array(a);if(s.length<a){this._show_all=!1;for(let s=0;s<a;s++)_[s]=0;for(let e=0;e<s.length;e++)_[s[e]]=255}else if(!this._show_all||r!=a){this._show_all=!0;for(let s=0;s<a;s++)_[s]=255}this._show.update();const n={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,center:i._centers,size:i._sizes,angle:i._angles,nmarkers:a,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,show:this._show};this.regl_wrapper.marker(this._marker_type)(n)}_set_data(){const s=this.glyph.sx.length;null==this._centers&&(this._centers=new l.Float32Buffer(this.regl_wrapper),this._sizes=new l.Float32Buffer(this.regl_wrapper),this._angles=new l.Float32Buffer(this.regl_wrapper));const e=this._centers.get_sized_array(2*s);for(let t=0;t<s;t++)isFinite(this.glyph.sx[t])&&isFinite(this.glyph.sy[t])?(e[2*t]=this.glyph.sx[t],e[2*t+1]=this.glyph.sy[t]):(e[2*t]=_,e[2*t+1]=_);if(this._centers.update(),h(this.glyph)&&null!=this.glyph.radius){const e=this._sizes.get_sized_array(s);for(let t=0;t<s;t++)e[t]=2*this.glyph.sradius[t];this._sizes.update()}else this._sizes.set_from_prop(this.glyph.size);this._angles.set_from_prop(this.glyph.angle)}_set_visuals(){const s=this.glyph.visuals.fill,e=this.glyph.visuals.line;null==this._linewidths&&(this._linewidths=new l.Float32Buffer(this.regl_wrapper),this._line_rgba=new l.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new l.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(e.line_width),this._line_rgba.set_from_color(e.line_color,e.line_alpha),this._fill_rgba.set_from_color(s.fill_color,s.fill_alpha)}}t.MarkerGL=n,n.__name__=\"MarkerGL\"},\n",
-       "      }, 409, {\"models/glyphs/webgl/main\":409,\"models/glyphs/webgl/index\":410,\"models/glyphs/webgl/regl_wrap\":411,\"models/glyphs/webgl/dash_cache\":413,\"models/glyphs/webgl/utils/math\":414,\"models/glyphs/webgl/regl_line.vert\":415,\"models/glyphs/webgl/regl_line.frag\":416,\"models/glyphs/webgl/markers.vert\":417,\"models/glyphs/webgl/markers.frag\":418,\"models/glyphs/webgl/rect.vert\":419,\"models/glyphs/webgl/rect.frag\":420,\"models/glyphs/webgl/line_gl\":421,\"models/glyphs/webgl/base\":422,\"models/glyphs/webgl/webgl_utils\":423,\"models/glyphs/webgl/buffer\":424,\"models/glyphs/webgl/rect\":425,\"models/glyphs/webgl/markers\":426}, {});});\n",
-       "\n",
-       "      /* END bokeh-gl.min.js */\n",
-       "    },\n",
-       "    \n",
-       "    function(Bokeh) {\n",
-       "      /* BEGIN bokeh-widgets.min.js */\n",
-       "      /*!\n",
-       "       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n",
-       "       * All rights reserved.\n",
-       "       * \n",
-       "       * Redistribution and use in source and binary forms, with or without modification,\n",
-       "       * are permitted provided that the following conditions are met:\n",
-       "       * \n",
-       "       * Redistributions of source code must retain the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer.\n",
-       "       * \n",
-       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer in the documentation\n",
-       "       * and/or other materials provided with the distribution.\n",
-       "       * \n",
-       "       * Neither the name of Anaconda nor the names of any contributors\n",
-       "       * may be used to endorse or promote products derived from this software\n",
-       "       * without specific prior written permission.\n",
-       "       * \n",
-       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
-       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
-       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
-       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
-       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
-       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
-       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
-       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
-       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
-       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
-       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
-       "       */\n",
-       "      (function(root, factory) {\n",
-       "        factory(root[\"Bokeh\"], \"2.4.1\");\n",
-       "      })(this, function(Bokeh, version) {\n",
-       "        let define;\n",
-       "        return (function(modules, entry, aliases, externals) {\n",
-       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
-       "          if (bokeh != null) {\n",
-       "            return bokeh.register_plugin(modules, entry, aliases);\n",
-       "          } else {\n",
-       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
-       "          }\n",
-       "        })\n",
-       "      ({\n",
-       "      436: function _(t,e,i,o,r){o();const s=(0,t(1).__importStar)(t(437));i.Widgets=s;(0,t(7).register_models)(s)},\n",
-       "      437: function _(t,e,o,r,u){r(),u(\"AbstractButton\",t(438).AbstractButton),u(\"AbstractIcon\",t(441).AbstractIcon),u(\"AutocompleteInput\",t(442).AutocompleteInput),u(\"Button\",t(447).Button),u(\"CheckboxButtonGroup\",t(448).CheckboxButtonGroup),u(\"CheckboxGroup\",t(451).CheckboxGroup),u(\"ColorPicker\",t(453).ColorPicker),u(\"DatePicker\",t(454).DatePicker),u(\"DateRangeSlider\",t(457).DateRangeSlider),u(\"DateSlider\",t(462).DateSlider),u(\"Div\",t(463).Div),u(\"Dropdown\",t(466).Dropdown),u(\"FileInput\",t(467).FileInput),u(\"InputWidget\",t(445).InputWidget),u(\"Markup\",t(464).Markup),u(\"MultiSelect\",t(468).MultiSelect),u(\"Paragraph\",t(469).Paragraph),u(\"PasswordInput\",t(470).PasswordInput),u(\"MultiChoice\",t(471).MultiChoice),u(\"NumericInput\",t(474).NumericInput),u(\"PreText\",t(475).PreText),u(\"RadioButtonGroup\",t(476).RadioButtonGroup),u(\"RadioGroup\",t(477).RadioGroup),u(\"RangeSlider\",t(478).RangeSlider),u(\"Select\",t(479).Select),u(\"Slider\",t(480).Slider),u(\"Spinner\",t(481).Spinner),u(\"TextInput\",t(443).TextInput),u(\"TextAreaInput\",t(482).TextAreaInput),u(\"Toggle\",t(483).Toggle),u(\"Widget\",t(508).Widget)},\n",
-       "      438: function _(t,e,n,i,s){i();const l=t(1);var o;const r=t(20),c=t(43),u=t(113),_=t(439),a=t(441),d=(0,l.__importStar)(t(318)),h=d;class b extends _.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await(0,u.build_view)(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n",
-       "      439: function _(t,e,o,s,n){s();const i=t(508),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n",
-       "      508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n",
-       "      441: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n",
-       "      442: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(443),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let s;s=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n",
-       "      443: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(444),r=t(43),x=(0,u.__importStar)(t(446));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n",
-       "      444: function _(e,t,n,i,l){var s;i();const h=e(445);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n",
-       "      445: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(439),_=e(43),p=(0,i.__importStar)(e(446)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n",
-       "      446: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n",
-       "      447: function _(t,e,n,o,c){var s;o();const u=t(438),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n",
-       "      448: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(449),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n",
-       "      449: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(450),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n",
-       "      450: function _(n,t,e,o,r){var i;o();const a=n(439),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n",
-       "      451: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(452),l=e(43),d=e(9),p=(0,o.__importStar)(e(446));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;i<n.length;i++){const s=(0,l.input)({type:\"checkbox\",value:`${i}`});s.addEventListener(\"change\",(()=>this.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n",
-       "      452: function _(n,t,e,s,o){s();const r=n(1),u=n(439),c=(0,r.__importDefault)(n(446));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n",
-       "      453: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(445),c=e(43),a=e(22),d=(0,s.__importStar)(e(446));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n",
-       "      454: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(455)),d=e(445),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(446)),_=(0,a.__importDefault)(e(456));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n",
-       "      455: function _(e,n,t,a,i){\n",
-       "      /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n",
-       "      /*! *****************************************************************************\n",
-       "              Copyright (c) Microsoft Corporation.\n",
-       "          \n",
-       "              Permission to use, copy, modify, and/or distribute this software for any\n",
-       "              purpose with or without fee is hereby granted.\n",
-       "          \n",
-       "              THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n",
-       "              REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n",
-       "              AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n",
-       "              INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n",
-       "              LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n",
-       "              OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n",
-       "              PERFORMANCE OF THIS SOFTWARE.\n",
-       "              ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],a={_disable:[],_enable:[],allowInput:!1,allowInvalidPreload:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",autoFillDefaultTime:!0,clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof console&&console.warn(e)},getWeek:function(e){var n=new Date(e.getTime());n.setHours(0,0,0,0),n.setDate(n.getDate()+3-(n.getDay()+6)%7);var t=new Date(n.getFullYear(),0,4);return 1+Math.round(((n.getTime()-t.getTime())/864e5-3+(t.getDay()+6)%7)/7)},hourIncrement:1,ignoredFocusElements:[],inline:!1,locale:\"default\",minuteIncrement:5,mode:\"single\",monthSelectorType:\"dropdown\",nextArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M13.207 8.472l-7.854 7.854-0.707-0.707 7.146-7.146-7.146-7.148 0.707-0.707 7.854 7.854z' /></svg>\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M5.207 8.471l7.146 7.147-0.707 0.707-7.853-7.854 7.854-7.853 0.707 0.707-7.147 7.146z' /></svg>\",shorthandCurrentMonth:!1,showMonths:1,static:!1,time_24hr:!1,weekNumbers:!1,wrap:!1},i={weekdays:{shorthand:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],longhand:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]},months:{shorthand:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],longhand:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]},daysInMonth:[31,28,31,30,31,30,31,31,30,31,30,31],firstDayOfWeek:0,ordinal:function(e){var n=e%100;if(n>3&&n<21)return\"th\";switch(n%10){case 1:return\"st\";case 2:return\"nd\";case 3:return\"rd\";default:return\"th\"}},rangeSeparator:\" to \",weekAbbreviation:\"Wk\",scrollTitle:\"Scroll to increment\",toggleTitle:\"Click to toggle\",amPM:[\"AM\",\"PM\"],yearAriaLabel:\"Year\",monthAriaLabel:\"Month\",hourAriaLabel:\"Hour\",minuteAriaLabel:\"Minute\",time_24hr:!1},o=function(e,n){return void 0===n&&(n=2),(\"000\"+e).slice(-1*n)},r=function(e){return!0===e?1:0};function l(e,n,t){var a;return void 0===t&&(t=!1),function(){var i=this,o=arguments;null!==a&&clearTimeout(a),a=window.setTimeout((function(){a=null,t||e.apply(i,o)}),n),t&&!a&&e.apply(i,o)}}var c=function(e){return e instanceof Array?e:[e]};function d(e,n,t){if(!0===t)return e.classList.add(n);e.classList.remove(n)}function s(e,n,t){var a=window.document.createElement(e);return n=n||\"\",t=t||\"\",a.className=n,void 0!==t&&(a.textContent=t),a}function u(e){for(;e.firstChild;)e.removeChild(e.firstChild)}function f(e,n){return n(e)?e:e.parentNode?f(e.parentNode,n):void 0}function m(e,n){var t=s(\"div\",\"numInputWrapper\"),a=s(\"input\",\"numInput \"+e),i=s(\"span\",\"arrowUp\"),o=s(\"span\",\"arrowDown\");if(-1===navigator.userAgent.indexOf(\"MSIE 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46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=y)X(new Date(c),!0)||(o=o||c>a&&c<i,c<t&&(!r||c>r)?r=c:c>t&&(!l||c<l)&&(l=c));for(var d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&c<t&&l.top>t,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new Date(w.currentYear,w.currentMonth,1);t.setMonth(w.currentMonth+n),w.config.showMonths>1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYear<w.config.minDate.getFullYear()),w._hideNextMonthArrow=void 0!==w.config.maxDate&&(w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth+1>w.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u<n.length;u++)w.config[n[u]]=!0===w.config[n[u]]||\"true\"===w.config[n[u]];for(t.filter((function(e){return void 0!==w.config[e]})).forEach((function(e){w.config[e]=c(w.config[e]||[]).map(x)})),w.isMobile=!w.config.disableMobile&&!w.config.inline&&\"single\"===w.config.mode&&!w.config.disable.length&&!w.config.enable.length&&!w.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<w.config.plugins.length;u++){var f=w.config.plugins[u](w)||{};for(var m in f)t.indexOf(m)>-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" 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0.3);background:transparent;cursor:default;border:none;}.flatpickr-innerContainer{display:block;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-sizing:border-box;box-sizing:border-box;overflow:hidden;background:#fff;border-bottom:1px solid #eceef1;}.flatpickr-rContainer{display:inline-block;padding:0;-webkit-box-sizing:border-box;box-sizing:border-box;}.flatpickr-time{text-align:center;outline:0;display:block;height:0;line-height:40px;max-height:40px;-webkit-box-sizing:border-box;box-sizing:border-box;overflow:hidden;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;background:#fff;border-radius:0 0 5px 5px;}.flatpickr-time:after{content:\"\";display:table;clear:both;}.flatpickr-time .numInputWrapper{-webkit-box-flex:1;-webkit-flex:1;-ms-flex:1;flex:1;width:40%;height:40px;float:left;}.flatpickr-time .numInputWrapper span.arrowUp:after{border-bottom-color:#484848;}.flatpickr-time .numInputWrapper span.arrowDown:after{border-top-color:#484848;}.flatpickr-time.hasSeconds .numInputWrapper{width:26%;}.flatpickr-time.time24hr .numInputWrapper{width:49%;}.flatpickr-time input{background:transparent;-webkit-box-shadow:none;box-shadow:none;border:0;border-radius:0;text-align:center;margin:0;padding:0;height:inherit;line-height:inherit;color:#484848;font-size:14px;position:relative;-webkit-box-sizing:border-box;box-sizing:border-box;-webkit-appearance:textfield;-moz-appearance:textfield;appearance:textfield;}.flatpickr-time input.flatpickr-hour{font-weight:bold;}.flatpickr-time input.flatpickr-minute,.flatpickr-time input.flatpickr-second{font-weight:400;}.flatpickr-time input:focus{outline:0;border:0;}.flatpickr-time .flatpickr-time-separator,.flatpickr-time .flatpickr-am-pm{height:inherit;float:left;line-height:inherit;color:#484848;font-weight:bold;width:2%;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;-webkit-align-self:center;-ms-flex-item-align:center;align-self:center;}.flatpickr-time .flatpickr-am-pm{outline:0;width:18%;cursor:pointer;text-align:center;font-weight:400;}.flatpickr-time input:hover,.flatpickr-time .flatpickr-am-pm:hover,.flatpickr-time input:focus,.flatpickr-time .flatpickr-am-pm:focus{background:#eaeaea;}.flatpickr-input[readonly]{cursor:pointer;}@-webkit-keyframes fpFadeInDown{from{opacity:0;-webkit-transform:translate3d(0, -20px, 0);transform:translate3d(0, -20px, 0);}to{opacity:1;-webkit-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);}}@keyframes fpFadeInDown{from{opacity:0;-webkit-transform:translate3d(0, -20px, 0);transform:translate3d(0, -20px, 0);}to{opacity:1;-webkit-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);}}span.flatpickr-day.selected{font-weight:bold;}'},\n",
-       "      457: function _(e,t,r,a,i){a();var n;const d=(0,e(1).__importDefault)(e(151)),s=e(458),o=e(8);class _ extends s.AbstractRangeSliderView{}r.DateRangeSliderView=_,_.__name__=\"DateRangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,d.default)(e,t):t.compute(e)}}r.DateRangeSlider=c,n=c,c.__name__=\"DateRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y\"})},\n",
-       "      458: function _(t,e,i,s,l){s();const o=t(1);var r;const n=(0,o.__importDefault)(t(459)),a=t(43),d=t(9),_=t(22),h=t(450),c=t(131),u=(0,o.__importStar)(t(460)),m=u,p=(0,o.__importDefault)(t(461)),v=(0,o.__importStar)(t(446));class b extends h.OrientedControlView{*controls(){yield this.slider_el}connect_signals(){super.connect_signals();const{direction:t,orientation:e,tooltips:i}=this.model.properties;this.on_change([t,e,i],(()=>this.render()));const{start:s,end:l,value:o,step:r,title:n}=this.model.properties;this.on_change([s,l,o,r],(()=>{const{start:t,end:e,value:i,step:s}=this._calc_to();this._noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s},!0)}));const{bar_color:a}=this.model.properties;this.on_change(a,(()=>{this._set_bar_color()}));const{show_value:d}=this.model.properties;this.on_change([o,n,d],(()=>this._update_title()))}styles(){return[...super.styles(),p.default,u.default]}_update_title(){var t;(0,a.empty)(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=(null===(t=this.model.title)||void 0===t?void 0:t.length)&&(this.title_el.textContent=`${this.model.title}: `),this.model.show_value)){const{value:t}=this._calc_to(),e=t.map((t=>this.model.pretty(t))).join(\" .. \");this.title_el.appendChild((0,a.span)({class:m.slider_value},e))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=(0,_.color2css)(this.model.bar_color)}}render(){super.render();const{start:t,end:e,value:i,step:s}=this._calc_to();let l;if(this.model.tooltips){const t={to:t=>this.model.pretty(t)};l=(0,d.repeat)(t,i.length)}else l=!1;if(null==this.slider_el){this.slider_el=(0,a.div)(),this._noUiSlider=n.default.create(this.slider_el,{range:{min:t,max:e},start:i,step:s,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:l,orientation:this.model.orientation,direction:this.model.direction}),this._noUiSlider.on(\"slide\",((t,e,i)=>this._slide(i))),this._noUiSlider.on(\"change\",((t,e,i)=>this._change(i)));const o=(t,e)=>{if(!l)return;this.slider_el.querySelectorAll(\".noUi-handle\")[t].querySelector(\".noUi-tooltip\").style.display=e?\"block\":\"\"};this._noUiSlider.on(\"start\",((t,e)=>o(e,!0))),this._noUiSlider.on(\"end\",((t,e)=>o(e,!1)))}else this._noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s},!0);this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=(0,a.div)({class:m.slider_title}),this._update_title(),this.group_el=(0,a.div)({class:v.input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(t){this.model.value=this._calc_from(t)}_change(t){const e=this._calc_from(t);this.model.setv({value:e,value_throttled:e})}}b.__name__=\"AbstractBaseSliderView\";class g extends b{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([t]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(t):t}}i.AbstractSliderView=g,g.__name__=\"AbstractSliderView\";class f extends b{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(t){return t}}i.AbstractRangeSliderView=f,f.__name__=\"AbstractRangeSliderView\";class S extends h.OrientedControl{constructor(t){super(t),this.connected=!1}pretty(t){return this._formatter(t,this.format)}}i.AbstractSlider=S,r=S,S.__name__=\"AbstractSlider\",r.define((({Any:t,Boolean:e,Number:i,String:s,Color:l,Or:o,Enum:r,Ref:n,Nullable:a})=>({title:[a(s),\"\"],show_value:[e,!0],start:[t],end:[t],value:[t],value_throttled:[t],step:[i,1],format:[o(s,n(c.TickFormatter))],direction:[r(\"ltr\",\"rtl\"),\"ltr\"],tooltips:[e,!0],bar_color:[l,\"#e6e6e6\"]})))},\n",
-       "      459: function _(t,e,r,n,i){var o,s;o=this,s=function(t){\"use strict\";var e,r;function n(t){return\"object\"==typeof t&&\"function\"==typeof t.to}function i(t){t.parentElement.removeChild(t)}function o(t){return null!=t}function s(t){t.preventDefault()}function a(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function l(t,e,r){r>0&&(f(t,e),setTimeout((function(){d(t,e)}),r))}function u(t){return Math.max(Math.min(t,100),0)}function c(t){return Array.isArray(t)?t:[t]}function p(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function f(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function d(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function h(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function m(t,e){return 100/(e-t)}function g(t,e,r){return 100*e/(t[r+1]-t[r])}function v(t,e){for(var r=1;t>=e[r];)r+=1;return r}function b(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=v(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return g(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/m(s,a)}function S(t,e,r,n){if(100===n)return n;var i=v(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}t.PipsMode=void 0,(e=t.PipsMode||(t.PipsMode={})).Range=\"range\",e.Steps=\"steps\",e.Positions=\"positions\",e.Count=\"count\",e.Values=\"values\",t.PipsType=void 0,(r=t.PipsType||(t.PipsType={}))[r.None=-1]=\"None\",r[r.NoValue=0]=\"NoValue\",r[r.LargeValue=1]=\"LargeValue\",r[r.SmallValue=2]=\"SmallValue\";var x=function(){function t(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[],this.xNumSteps=[],this.xHighestCompleteStep=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.snap=e;var i=[];for(Object.keys(t).forEach((function(e){i.push([c(t[e]),e])})),i.sort((function(t,e){return t[0][0]-e[0][0]})),n=0;n<i.length;n++)this.handleEntryPoint(i[n][1],i[n][0]);for(this.xNumSteps=this.xSteps.slice(0),n=0;n<this.xNumSteps.length;n++)this.handleStepPoint(n,this.xNumSteps[n])}return t.prototype.getDistance=function(t){var e,r=[];for(e=0;e<this.xNumSteps.length-1;e++){var n=this.xNumSteps[e];if(n&&t/n%1!=0)throw new Error(\"noUiSlider: 'limit', 'margin' and 'padding' of \"+this.xPct[e]+\"% range must be divisible by step.\");r[e]=g(this.xVal,t,e)}return r},t.prototype.getAbsoluteDistance=function(t,e,r){var n,i=0;if(t<this.xPct[this.xPct.length-1])for(;t>this.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++,null===e&&(e=[]);var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},t.prototype.toStepping=function(t){return t=b(this.xVal,this.xPct,t)},t.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=v(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*m(s,e[n]))}(this.xVal,this.xPct,t)},t.prototype.getStep=function(t){return t=S(this.xPct,this.xSteps,this.snap,t)},t.prototype.getDefaultStep=function(t,e,r){var n=v(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},t.prototype.getNearbySteps=function(t){var e=v(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},t.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(p);return Math.max.apply(null,t)},t.prototype.hasNoSize=function(){return this.xVal[0]===this.xVal[this.xVal.length-1]},t.prototype.convert=function(t){return this.getStep(this.toStepping(t))},t.prototype.handleEntryPoint=function(t,e){var r;if(!a(r=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!a(e[0]))throw new Error(\"noUiSlider: 'range' value isn't numeric.\");this.xPct.push(r),this.xVal.push(e[0]);var n=Number(e[1]);r?this.xSteps.push(!isNaN(n)&&n):isNaN(n)||(this.xSteps[0]=n),this.xHighestCompleteStep.push(0)},t.prototype.handleStepPoint=function(t,e){if(e)if(this.xVal[t]!==this.xVal[t+1]){this.xSteps[t]=g([this.xVal[t],this.xVal[t+1]],e,0)/m(this.xPct[t],this.xPct[t+1]);var r=(this.xVal[t+1]-this.xVal[t])/this.xNumSteps[t],n=Math.ceil(Number(r.toFixed(3))-1),i=this.xVal[t]+this.xNumSteps[t]*n;this.xHighestCompleteStep[t]=i}else this.xSteps[t]=this.xHighestCompleteStep[t]=this.xVal[t]},t}(),y={to:function(t){return void 0===t?\"\":t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"},E=\".__tooltips\",P=\".__aria\";function C(t,e){if(!a(e))throw new Error(\"noUiSlider: 'step' is not numeric.\");t.singleStep=e}function N(t,e){if(!a(e))throw new Error(\"noUiSlider: 'keyboardPageMultiplier' is not numeric.\");t.keyboardPageMultiplier=e}function V(t,e){if(!a(e))throw new Error(\"noUiSlider: 'keyboardMultiplier' is not numeric.\");t.keyboardMultiplier=e}function k(t,e){if(!a(e))throw new Error(\"noUiSlider: 'keyboardDefaultStep' is not numeric.\");t.keyboardDefaultStep=e}function M(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider: 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider: Missing 'min' or 'max' in 'range'.\");t.spectrum=new x(e,t.snap||!1,t.singleStep)}function A(t,e){if(e=c(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider: 'start' option is incorrect.\");t.handles=e.length,t.start=e}function U(t,e){if(\"boolean\"!=typeof e)throw new Error(\"noUiSlider: 'snap' option must be a boolean.\");t.snap=e}function D(t,e){if(\"boolean\"!=typeof e)throw new Error(\"noUiSlider: 'animate' option must be a boolean.\");t.animate=e}function O(t,e){if(\"number\"!=typeof e)throw new Error(\"noUiSlider: 'animationDuration' option must be a number.\");t.animationDuration=e}function L(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r<t.handles;r++)n.push(e);n.push(!1)}else{if(!Array.isArray(e)||!e.length||e.length!==t.handles+1)throw new Error(\"noUiSlider: 'connect' option doesn't match handle count.\");n=e}t.connect=n}function T(t,e){switch(e){case\"horizontal\":t.ort=0;break;case\"vertical\":t.ort=1;break;default:throw new Error(\"noUiSlider: 'orientation' option is invalid.\")}}function j(t,e){if(!a(e))throw new Error(\"noUiSlider: 'margin' option must be numeric.\");0!==e&&(t.margin=t.spectrum.getDistance(e))}function z(t,e){if(!a(e))throw new Error(\"noUiSlider: 'limit' option must be numeric.\");if(t.limit=t.spectrum.getDistance(e),!t.limit||t.handles<2)throw new Error(\"noUiSlider: 'limit' 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null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}f(b=w,r.cssClasses.target),0===r.dir?f(b,r.cssClasses.ltr):f(b,r.cssClasses.rtl),0===r.ort?f(b,r.cssClasses.horizontal):f(b,r.cssClasses.vertical),f(b,\"rtl\"===getComputedStyle(b).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),a=T(b,r.cssClasses.base),function(t,e){var n=T(e,r.cssClasses.connects);p=[],(m=[]).push(z(n,t[0]));for(var i=0;i<r.handles;i++)p.push(j(e,i)),k[i]=i,m.push(z(n,t[i+1]))}(r.connect,a),(S=r.events).fixed||p.forEach((function(t,e){J(x.start,t.children[0],et,{handleNumbers:[e]})})),S.tap&&J(x.start,a,rt,{}),S.hover&&J(x.move,a,nt,{hover:!0}),S.drag&&m.forEach((function(t,e){if(!1!==t&&0!==e&&e!==m.length-1){var n=p[e-1],i=p[e],o=[t],s=[n,i],a=[e-1,e];f(t,r.cssClasses.draggable),S.fixed&&(o.push(n.children[0]),o.push(i.children[0])),S.dragAll&&(s=p,a=k),o.forEach((function(e){J(x.start,e,et,{handles:s,handleNumbers:a,connect:t})}))}})),mt(r.start),r.pips&&W(r.pips),r.tooltips&&B(),ot(\"update\"+P),it(\"update\"+P,(function(t,e,n,i,o){k.forEach((function(t){var e=p[t],i=at(V,t,0,!0,!0,!0),s=at(V,t,100,!0,!0,!0),a=o[t],l=String(r.ariaFormat.to(n[t]));i=C.fromStepping(i).toFixed(1),s=C.fromStepping(s).toFixed(1),a=C.fromStepping(a).toFixed(1),e.children[0].setAttribute(\"aria-valuemin\",i),e.children[0].setAttribute(\"aria-valuemax\",s),e.children[0].setAttribute(\"aria-valuenow\",a),e.children[0].setAttribute(\"aria-valuetext\",l)}))}));var bt={destroy:function(){for(ot(P),ot(E),Object.keys(r.cssClasses).forEach((function(t){d(w,r.cssClasses[t])}));w.firstChild;)w.removeChild(w.firstChild);delete w.noUiSlider},steps:function(){return k.map(vt)},on:it,off:ot,get:gt,set:mt,setHandle:function(t,e,r,n){if(!((t=Number(t))>=0&&t<k.length))throw new Error(\"noUiSlider: invalid handle number, got: \"+t);ft(t,ht(e,t),!0,!0,n),st(\"update\",t),r&&st(\"set\",t)},reset:function(t){mt(r.start,t)},__moveHandles:function(t,e,r){ut(t,e,V,r)},options:n,updateOptions:function(t,e){var i=gt(),s=[\"margin\",\"limit\",\"padding\",\"range\",\"animate\",\"snap\",\"step\",\"format\",\"pips\",\"tooltips\"];s.forEach((function(e){void 0!==t[e]&&(n[e]=t[e])}));var a=G(n);s.forEach((function(e){void 0!==t[e]&&(r[e]=a[e])})),C=a.spectrum,r.margin=a.margin,r.limit=a.limit,r.padding=a.padding,r.pips?W(r.pips):I(),r.tooltips?B():_(),V=[],mt(o(t.start)?t.start:i,e)},target:w,removePips:I,removeTooltips:_,getPositions:function(){return V.slice()},getTooltips:function(){return v},getOrigins:function(){return p},pips:W};return bt}function K(t,e){if(!t||!t.nodeName)throw new Error(\"noUiSlider: create requires a single element, got: \"+t);if(t.noUiSlider)throw new Error(\"noUiSlider: Slider was already initialized.\");var r=J(t,G(e),e);return t.noUiSlider=r,r}var Q={__spectrum:x,cssClasses:w,create:K};t.create=K,t.cssClasses=w,t.default=Q,Object.defineProperty(t,\"__esModule\",{value:!0})},\"object\"==typeof r&&void 0!==e?s(r):\"function\"==typeof define&&define.amd?define([\"exports\"],s):s((o=\"undefined\"!=typeof globalThis?globalThis:o||self).noUiSlider={})},\n",
-       "      460: function _(e,t,l,i,o){i(),l.root=\"bk-root\",l.slider_title=\"bk-slider-title\",l.slider_value=\"bk-slider-value\",l.default=\".bk-root .bk-slider-title{white-space:nowrap;}.bk-root .bk-slider-value{font-weight:600;}\"},\n",
-       "      461: function _(o,t,r,i,n){i(),r.root=\"bk-root\",r.default='.bk-root{}.bk-root .noUi-target,.bk-root .noUi-target *{-webkit-touch-callout:none;-webkit-tap-highlight-color:rgba(0, 0, 0, 0);-webkit-user-select:none;-ms-touch-action:none;touch-action:none;-ms-user-select:none;-moz-user-select:none;user-select:none;-moz-box-sizing:border-box;box-sizing:border-box;}.bk-root .noUi-target{position:relative;}.bk-root .noUi-base,.bk-root .noUi-connects{width:100%;height:100%;position:relative;z-index:1;}.bk-root .noUi-connects{overflow:hidden;z-index:0;}.bk-root .noUi-connect,.bk-root .noUi-origin{will-change:transform;position:absolute;z-index:1;top:0;right:0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0;-webkit-transform-style:preserve-3d;transform-origin:0 0;transform-style:flat;}.bk-root .noUi-connect{height:100%;width:100%;}.bk-root .noUi-origin{height:10%;width:10%;}.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin{left:0;right:auto;}.bk-root .noUi-vertical .noUi-origin{width:0;}.bk-root .noUi-horizontal .noUi-origin{height:0;}.bk-root .noUi-handle{-webkit-backface-visibility:hidden;backface-visibility:hidden;position:absolute;}.bk-root .noUi-touch-area{height:100%;width:100%;}.bk-root .noUi-state-tap .noUi-connect,.bk-root .noUi-state-tap .noUi-origin{-webkit-transition:transform 0.3s;transition:transform 0.3s;}.bk-root .noUi-state-drag *{cursor:inherit !important;}.bk-root .noUi-horizontal{height:18px;}.bk-root .noUi-horizontal .noUi-handle{width:34px;height:28px;right:-17px;top:-6px;}.bk-root .noUi-vertical{width:18px;}.bk-root .noUi-vertical .noUi-handle{width:28px;height:34px;right:-6px;top:-17px;}.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle{left:-17px;right:auto;}.bk-root .noUi-target{background:#FAFAFA;border-radius:4px;border:1px solid #D3D3D3;box-shadow:inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;}.bk-root .noUi-connects{border-radius:3px;}.bk-root .noUi-connect{background:#3FB8AF;}.bk-root .noUi-draggable{cursor:ew-resize;}.bk-root .noUi-vertical .noUi-draggable{cursor:ns-resize;}.bk-root .noUi-handle{border:1px solid #D9D9D9;border-radius:3px;background:#FFF;cursor:default;box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;}.bk-root .noUi-active{box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;}.bk-root .noUi-handle:before,.bk-root .noUi-handle:after{content:\"\";display:block;position:absolute;height:14px;width:1px;background:#E8E7E6;left:14px;top:6px;}.bk-root .noUi-handle:after{left:17px;}.bk-root .noUi-vertical .noUi-handle:before,.bk-root .noUi-vertical .noUi-handle:after{width:14px;height:1px;left:6px;top:14px;}.bk-root .noUi-vertical .noUi-handle:after{top:17px;}.bk-root [disabled] .noUi-connect{background:#B8B8B8;}.bk-root [disabled].noUi-target,.bk-root [disabled].noUi-handle,.bk-root [disabled] .noUi-handle{cursor:not-allowed;}.bk-root .noUi-pips,.bk-root .noUi-pips *{-moz-box-sizing:border-box;box-sizing:border-box;}.bk-root .noUi-pips{position:absolute;color:#999;}.bk-root .noUi-value{position:absolute;white-space:nowrap;text-align:center;}.bk-root .noUi-value-sub{color:#ccc;font-size:10px;}.bk-root .noUi-marker{position:absolute;background:#CCC;}.bk-root .noUi-marker-sub{background:#AAA;}.bk-root .noUi-marker-large{background:#AAA;}.bk-root .noUi-pips-horizontal{padding:10px 0;height:80px;top:100%;left:0;width:100%;}.bk-root .noUi-value-horizontal{-webkit-transform:translate(-50%, 50%);transform:translate(-50%, 50%);}.bk-root .noUi-rtl .noUi-value-horizontal{-webkit-transform:translate(50%, 50%);transform:translate(50%, 50%);}.bk-root .noUi-marker-horizontal.noUi-marker{margin-left:-1px;width:2px;height:5px;}.bk-root .noUi-marker-horizontal.noUi-marker-sub{height:10px;}.bk-root .noUi-marker-horizontal.noUi-marker-large{height:15px;}.bk-root .noUi-pips-vertical{padding:0 10px;height:100%;top:0;left:100%;}.bk-root .noUi-value-vertical{-webkit-transform:translate(0, -50%);transform:translate(0, -50%);padding-left:25px;}.bk-root .noUi-rtl .noUi-value-vertical{-webkit-transform:translate(0, 50%);transform:translate(0, 50%);}.bk-root .noUi-marker-vertical.noUi-marker{width:5px;height:2px;margin-top:-1px;}.bk-root .noUi-marker-vertical.noUi-marker-sub{width:10px;}.bk-root .noUi-marker-vertical.noUi-marker-large{width:15px;}.bk-root .noUi-tooltip{display:block;position:absolute;border:1px solid #D9D9D9;border-radius:3px;background:#fff;color:#000;padding:5px;text-align:center;white-space:nowrap;}.bk-root .noUi-horizontal .noUi-tooltip{-webkit-transform:translate(-50%, 0);transform:translate(-50%, 0);left:50%;bottom:120%;}.bk-root .noUi-vertical .noUi-tooltip{-webkit-transform:translate(0, -50%);transform:translate(0, -50%);top:50%;right:120%;}.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root .noUi-vertical{width:10px;height:100%;}.bk-root .noUi-horizontal .noUi-handle{width:14px;height:18px;right:-7px;top:-5px;}.bk-root .noUi-vertical .noUi-handle{width:18px;height:14px;right:-5px;top:-7px;}.bk-root .noUi-target.noUi-horizontal{margin:5px 0px;}.bk-root .noUi-target.noUi-vertical{margin:0px 5px;}'},\n",
-       "      462: function _(e,t,r,a,i){a();var s;const d=(0,e(1).__importDefault)(e(151)),o=e(458),_=e(8);class n extends o.AbstractSliderView{}r.DateSliderView=n,n.__name__=\"DateSliderView\";class c extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,_.isString)(t)?(0,d.default)(e,t):t.compute(e)}}r.DateSlider=c,s=c,c.__name__=\"DateSlider\",s.prototype.default_view=n,s.override({format:\"%d %b %Y\"})},\n",
-       "      463: function _(e,t,s,r,i){var _;r();const n=e(464);class a extends n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n",
-       "      464: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(508),_=(0,a.__importStar)(t(465));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i<t.length&&s.push(t.slice(i)),s.join(\"\")}contains_tex_string(){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(this.model.text).length>0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n",
-       "      465: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n",
-       "      466: function _(e,t,i,n,s){n();const o=e(1);var l;const r=e(438),d=e(251),_=e(43),u=e(8),c=(0,o.__importStar)(e(318)),h=(0,o.__importStar)(e(229)),m=h;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=(0,_.div)({class:[m.caret,m.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return(0,_.div)({class:m.divider});{const i=(0,u.isString)(e)?e:e[0],n=(0,_.div)(i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,_.undisplay)(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new d.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=(0,u.isString)(t)?t:t[1];(0,u.isString)(i)?this.model.trigger_event(new d.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class a extends r.AbstractButton{constructor(e){super(e)}get is_split(){return this.split}}i.Dropdown=a,l=a,a.__name__=\"Dropdown\",l.prototype.default_view=p,l.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),l.override({label:\"Dropdown\"})},\n",
-       "      467: function _(e,l,i,t,s){var n;t();const a=e(43),o=e(508);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}i.FileInputView=d,d.__name__=\"FileInputView\";class r extends o.Widget{constructor(e){super(e)}}i.FileInput=r,n=r,r.__name__=\"FileInput\",n.prototype.default_view=d,n.define((({Boolean:e,String:l,Array:i,Or:t})=>({value:[t(l,i(l)),\"\"],mime_type:[t(l,i(l)),\"\"],filename:[t(l,i(l)),\"\"],accept:[l,\"\"],multiple:[e,!1]})))},\n",
-       "      468: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(445),p=(0,l.__importStar)(e(446));class d extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.input_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiSelectView=d,d.__name__=\"MultiSelectView\";class u extends h.InputWidget{constructor(e){super(e)}}i.MultiSelect=u,o=u,u.__name__=\"MultiSelect\",o.prototype.default_view=d,o.define((({Int:e,String:t,Array:i,Tuple:s,Or:n})=>({value:[i(t),[]],options:[i(n(t,s(t,t))),[]],size:[e,4]})))},\n",
-       "      469: function _(e,a,r,t,s){var n;t();const p=e(464),_=e(43);class i extends p.MarkupView{render(){super.render();const e=(0,_.p)({style:{margin:0}});this.has_math_disabled()?e.textContent=this.model.text:e.innerHTML=this.process_tex(),this.markup_el.appendChild(e)}}r.ParagraphView=i,i.__name__=\"ParagraphView\";class h extends p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n",
-       "      470: function _(e,s,t,n,r){var p;n();const u=e(443);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n",
-       "      471: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(472)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(446)),d=(0,o.__importDefault)(e(473)),r=e(445);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button ${i}`,o={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:s}};null!=this.model.placeholder&&(o.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(o.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(o.renderChoiceLimit=this.model.option_limit),null!=this.model.search_option_limit&&(o.searchResultLimit=this.model.search_option_limit),this.choice_el=new h.default(this.input_el,o);const n=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=n()&&this.root.invalidate_layout(),this._last_height=n(),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiChoiceView=m,m.__name__=\"MultiChoiceView\";class p extends r.InputWidget{constructor(e){super(e)}}i.MultiChoice=p,n=p,p.__name__=\"MultiChoice\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t,String:i,Array:l,Tuple:s,Or:o,Nullable:n})=>({value:[l(i),[]],options:[l(o(i,s(i,i))),[]],max_items:[n(t),null],delete_button:[e,!0],placeholder:[n(i),null],option_limit:[n(t),null],search_option_limit:[n(t),null],solid:[e,!0]})))},\n",
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-       "      /*!\n",
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-       "                       *\n",
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-       "                       * All Rights Reserved. Apache Software License 2.0\n",
-       "                       *\n",
-       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
-       "                       */\n",
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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var pe=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&de(t.prototype,i),n&&de(t,n),e}();function me(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var fe=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.delimiter;return(i=e.call(this,{element:n,classNames:s})||this).delimiter=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,n=o,(s=[{key:\"value\",get:function(){return this.element.value},set:function(e){var t=e.map((function(e){return e.value})).join(this.delimiter);this.element.setAttribute(\"value\",t),this.element.value=t}}])&&me(n.prototype,s),r&&me(n,r),o}(pe);function ve(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var ge=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.template;return(i=e.call(this,{element:n,classNames:s})||this).template=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,o.prototype.appendDocFragment=function(e){this.element.innerHTML=\"\",this.element.appendChild(e)},n=o,(s=[{key:\"placeholderOption\",get:function(){return this.element.querySelector('option[value=\"\"]')||this.element.querySelector(\"option[placeholder]\")}},{key:\"optionGroups\",get:function(){return Array.from(this.element.getElementsByTagName(\"OPTGROUP\"))}},{key:\"options\",get:function(){return Array.from(this.element.options)},set:function(e){var t=this,i=document.createDocumentFragment();e.forEach((function(e){return n=e,s=t.template(n),void i.appendChild(s);var n,s})),this.appendDocFragment(i)}}])&&ve(n.prototype,s),r&&ve(n,r),o}(pe),_e={containerOuter:function(e,t,i,n,s,r){var o=e.containerOuter,a=Object.assign(document.createElement(\"div\"),{className:o});return a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=\"Remove item\",_=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:g});_.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),_.dataset.button=\"\",v.appendChild(_)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var we=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Oe={},Ce=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=h.type===re,this._isSelectOneElement=h.type===oe,this._isSelectMultipleElement=h.type===ae,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new fe({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new ge({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return t+\"-\"+i.replace(/(:|\\.|\\[|\\]|,)/g,\"\")}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Oe},get templates(){return _e}})}}],(t=null)&&Se(e.prototype,t),i&&Se(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(Ie(!0))},r._stopLoading=function(){this._store.dispatch(Ie(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(_e,t)},r._createElements=function(){this.containerOuter=new ce({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new ce({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new he({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ue({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ue({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Ce}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=o():\"function\"==typeof define&&define.amd?define([],o):\"object\"==typeof i?i.Choices=o():r.Choices=o()},\n",
-       "      473: function _(o,e,i,t,r){t(),i.root=\"bk-root\",i.default=\".bk-root{}.bk-root .choices{position:relative;margin-bottom:24px;font-size:16px;}.bk-root .choices:focus{outline:none;}.bk-root .choices:last-child{margin-bottom:0;}.bk-root .choices.is-disabled .choices__inner,.bk-root .choices.is-disabled .choices__input{background-color:#eaeaea;cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;}.bk-root .choices.is-disabled .choices__item{cursor:not-allowed;}.bk-root .choices [hidden]{display:none !important;}.bk-root .choices[data-type*='select-one']{cursor:pointer;}.bk-root .choices[data-type*='select-one'] .choices__inner{padding-bottom:7.5px;}.bk-root .choices[data-type*='select-one'] .choices__input{display:block;width:100%;padding:10px;border-bottom:1px solid #dddddd;background-color:#ffffff;margin:0;}.bk-root .choices[data-type*='select-one'] .choices__button{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);padding:0;background-size:8px;position:absolute;top:50%;right:0;margin-top:-10px;margin-right:25px;height:20px;width:20px;border-radius:10em;opacity:0.5;}.bk-root .choices[data-type*='select-one'] .choices__button:hover,.bk-root .choices[data-type*='select-one'] .choices__button:focus{opacity:1;}.bk-root .choices[data-type*='select-one'] .choices__button:focus{box-shadow:0px 0px 0px 2px #00bcd4;}.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button{display:none;}.bk-root .choices[data-type*='select-one']:after{content:'';height:0;width:0;border-style:solid;border-color:#333333 transparent transparent transparent;border-width:5px;position:absolute;right:11.5px;top:50%;margin-top:-2.5px;pointer-events:none;}.bk-root .choices[data-type*='select-one'].is-open:after{border-color:transparent transparent #333333 transparent;margin-top:-7.5px;}.bk-root .choices[data-type*='select-one'][dir='rtl']:after{left:11.5px;right:auto;}.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button{right:auto;left:0;margin-left:25px;margin-right:0;}.bk-root .choices[data-type*='select-multiple'] .choices__inner,.bk-root .choices[data-type*='text'] .choices__inner{cursor:text;}.bk-root .choices[data-type*='select-multiple'] .choices__button,.bk-root .choices[data-type*='text'] .choices__button{position:relative;display:inline-block;margin-top:0;margin-right:-4px;margin-bottom:0;margin-left:8px;padding-left:16px;border-left:1px solid #008fa1;background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);background-size:8px;width:8px;line-height:1;opacity:0.75;border-radius:0;}.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,.bk-root .choices[data-type*='text'] .choices__button:hover,.bk-root .choices[data-type*='text'] .choices__button:focus{opacity:1;}.bk-root .choices__inner{display:inline-block;vertical-align:top;width:100%;background-color:#f9f9f9;padding:7.5px 7.5px 3.75px;border:1px solid #dddddd;border-radius:2.5px;font-size:14px;min-height:44px;overflow:hidden;}.bk-root .is-focused .choices__inner,.bk-root .is-open .choices__inner{border-color:#b7b7b7;}.bk-root .is-open .choices__inner{border-radius:2.5px 2.5px 0 0;}.bk-root .is-flipped.is-open .choices__inner{border-radius:0 0 2.5px 2.5px;}.bk-root .choices__list{margin:0;padding-left:0;list-style:none;}.bk-root .choices__list--single{display:inline-block;padding:4px 16px 4px 4px;width:100%;}.bk-root [dir='rtl'] .choices__list--single{padding-right:4px;padding-left:16px;}.bk-root .choices__list--single .choices__item{width:100%;}.bk-root .choices__list--multiple{display:inline;}.bk-root .choices__list--multiple .choices__item{display:inline-block;vertical-align:middle;border-radius:20px;padding:4px 10px;font-size:12px;font-weight:500;margin-right:3.75px;margin-bottom:3.75px;background-color:#00bcd4;border:1px solid #00a5bb;color:#ffffff;word-break:break-all;box-sizing:border-box;}.bk-root .choices__list--multiple .choices__item[data-deletable]{padding-right:5px;}.bk-root [dir='rtl'] .choices__list--multiple .choices__item{margin-right:0;margin-left:3.75px;}.bk-root .choices__list--multiple .choices__item.is-highlighted{background-color:#00a5bb;border:1px solid #008fa1;}.bk-root .is-disabled .choices__list--multiple .choices__item{background-color:#aaaaaa;border:1px solid #919191;}.bk-root .choices__list--dropdown{visibility:hidden;z-index:1;position:absolute;width:100%;background-color:#ffffff;border:1px solid #dddddd;top:100%;margin-top:-1px;border-bottom-left-radius:2.5px;border-bottom-right-radius:2.5px;overflow:hidden;word-break:break-all;will-change:visibility;}.bk-root .choices__list--dropdown.is-active{visibility:visible;}.bk-root .is-open .choices__list--dropdown{border-color:#b7b7b7;}.bk-root .is-flipped .choices__list--dropdown{top:auto;bottom:100%;margin-top:0;margin-bottom:-1px;border-radius:0.25rem 0.25rem 0 0;}.bk-root .choices__list--dropdown .choices__list{position:relative;max-height:300px;overflow:auto;-webkit-overflow-scrolling:touch;will-change:scroll-position;}.bk-root .choices__list--dropdown .choices__item{position:relative;padding:10px;font-size:14px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item{text-align:right;}@media (min-width: 640px){.bk-root .choices__list--dropdown .choices__item--selectable{padding-right:100px;}.bk-root .choices__list--dropdown .choices__item--selectable:after{content:attr(data-select-text);font-size:12px;opacity:0;position:absolute;right:10px;top:50%;transform:translateY(-50%);}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable{text-align:right;padding-left:100px;padding-right:10px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after{right:auto;left:10px;}}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted{background-color:#f2f2f2;}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after{opacity:0.5;}.bk-root .choices__item{cursor:default;}.bk-root .choices__item--selectable{cursor:pointer;}.bk-root .choices__item--disabled{cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;opacity:0.5;}.bk-root .choices__heading{font-weight:600;font-size:12px;padding:10px;border-bottom:1px solid #f7f7f7;color:gray;}.bk-root .choices__button{text-indent:-9999px;-webkit-appearance:none;-moz-appearance:none;appearance:none;border:0;background-color:transparent;background-repeat:no-repeat;background-position:center;cursor:pointer;}.bk-root .choices__button:focus{outline:none;}.bk-root .choices__input{display:inline-block;vertical-align:baseline;background-color:#f9f9f9;font-size:14px;margin-bottom:5px;border:0;border-radius:0;max-width:100%;padding:4px 0 4px 2px;}.bk-root .choices__input:focus{outline:0;}.bk-root [dir='rtl'] .choices__input{padding-right:2px;padding-left:0;}.bk-root .choices__placeholder{opacity:0.5;}.bk-root .choices{width:100%;}.bk-root .choices{box-sizing:border-box;}.bk-root .choices *,.bk-root .choices *:before,.bk-root .choices *:after{box-sizing:inherit;}.bk-root .choices__inner .choices__item.light{background-color:rgba(0, 126, 255, 0.08);border-radius:5px;border:1px solid rgba(0, 126, 255, 0.24);color:#007eff;}.bk-root .choices__inner .choices__item.solid{background-color:#1f77b4;border:none;border-radius:5px;color:white;}.bk-root .choices__inner .choices__item.solid .is-highlighted{background-color:#1f77b4;border:none;}.bk-root .choices__input{background-color:transparent;}.bk-root .choices__inner{background:transparent;border:1px solid darkgray;border-radius:5px;min-height:unset;}.bk-root .choices__list{white-space:initial;}.bk-root .choices__list--dropdown{z-index:100;}.bk-root .choices[data-type*=select-multiple] .choices__button.light{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);}.bk-root .choices[data-type*=select-multiple] .choices__button.solid{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);border-left:1px solid white;opacity:1;}\"},\n",
-       "      474: function _(e,t,l,i,n){i();const s=e(1);var u;const h=(0,s.__importStar)(e(153)),o=e(445),a=e(131),r=e(43),d=e(8),p=e(11),_=(0,s.__importStar)(e(446)),m=/^[-+]?\\d*$/,c=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class v extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e<t&&(this.model.value=t)})),this.connect(this.model.properties.high.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n",
-       "      475: function _(e,t,r,s,n){var a;s();const o=e(464),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n",
-       "      476: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(449),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n",
-       "      477: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(452),r=(0,s.__importStar)(e(446));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;a<t.length;a++){const s=(0,o.input)({type:\"radio\",name:n,value:`${a}`});s.addEventListener(\"change\",(()=>this.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n",
-       "      478: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(458),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n",
-       "      479: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(445),r=(0,l.__importStar)(e(446));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n",
-       "      480: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(458),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n",
-       "      481: function _(e,t,i,n,s){var l;n();const o=e(474),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n",
-       "      482: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(444),l=e(43),p=(0,o.__importStar)(e(446));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n",
-       "      483: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(438),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n",
-       "      }, 436, {\"models/widgets/main\":436,\"models/widgets/index\":437,\"models/widgets/abstract_button\":438,\"models/widgets/control\":439,\"models/widgets/widget\":508,\"models/widgets/abstract_icon\":441,\"models/widgets/autocomplete_input\":442,\"models/widgets/text_input\":443,\"models/widgets/text_like_input\":444,\"models/widgets/input_widget\":445,\"styles/widgets/inputs.css\":446,\"models/widgets/button\":447,\"models/widgets/checkbox_button_group\":448,\"models/widgets/button_group\":449,\"models/widgets/oriented_control\":450,\"models/widgets/checkbox_group\":451,\"models/widgets/input_group\":452,\"models/widgets/color_picker\":453,\"models/widgets/date_picker\":454,\"styles/widgets/flatpickr.css\":456,\"models/widgets/date_range_slider\":457,\"models/widgets/abstract_slider\":458,\"styles/widgets/sliders.css\":460,\"styles/widgets/nouislider.css\":461,\"models/widgets/date_slider\":462,\"models/widgets/div\":463,\"models/widgets/markup\":464,\"styles/clearfix.css\":465,\"models/widgets/dropdown\":466,\"models/widgets/file_input\":467,\"models/widgets/multiselect\":468,\"models/widgets/paragraph\":469,\"models/widgets/password_input\":470,\"models/widgets/multichoice\":471,\"styles/widgets/choices.css\":473,\"models/widgets/numeric_input\":474,\"models/widgets/pretext\":475,\"models/widgets/radio_button_group\":476,\"models/widgets/radio_group\":477,\"models/widgets/range_slider\":478,\"models/widgets/selectbox\":479,\"models/widgets/slider\":480,\"models/widgets/spinner\":481,\"models/widgets/textarea_input\":482,\"models/widgets/toggle\":483}, {});});\n",
-       "\n",
-       "      /* END bokeh-widgets.min.js */\n",
-       "    },\n",
-       "    \n",
-       "    function(Bokeh) {\n",
-       "      /* BEGIN bokeh-tables.min.js */\n",
-       "      /*!\n",
-       "       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n",
-       "       * All rights reserved.\n",
-       "       * \n",
-       "       * Redistribution and use in source and binary forms, with or without modification,\n",
-       "       * are permitted provided that the following conditions are met:\n",
-       "       * \n",
-       "       * Redistributions of source code must retain the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer.\n",
-       "       * \n",
-       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer in the documentation\n",
-       "       * and/or other materials provided with the distribution.\n",
-       "       * \n",
-       "       * Neither the name of Anaconda nor the names of any contributors\n",
-       "       * may be used to endorse or promote products derived from this software\n",
-       "       * without specific prior written permission.\n",
-       "       * \n",
-       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
-       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
-       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
-       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
-       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
-       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
-       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
-       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
-       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
-       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
-       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
-       "       */\n",
-       "      (function(root, factory) {\n",
-       "        factory(root[\"Bokeh\"], \"2.4.1\");\n",
-       "      })(this, function(Bokeh, version) {\n",
-       "        let define;\n",
-       "        return (function(modules, entry, aliases, externals) {\n",
-       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
-       "          if (bokeh != null) {\n",
-       "            return bokeh.register_plugin(modules, entry, aliases);\n",
-       "          } else {\n",
-       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
-       "          }\n",
-       "        })\n",
-       "      ({\n",
-       "      484: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(485));o.Tables=_;(0,t(7).register_models)(_)},\n",
-       "      485: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(486),r),(0,o.__exportStar)(g(489),r),t(\"DataTable\",g(492).DataTable),t(\"TableColumn\",g(510).TableColumn),t(\"TableWidget\",g(509).TableWidget);var n=g(512);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(513);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n",
-       "      486: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(487),v=(0,r.__importStar)(e(488));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends w{_createInput(){return(0,E.input)({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=F,F.__name__=\"DateEditorView\";class L extends g{}i.DateEditor=L,h=L,L.__name__=\"DateEditor\",h.prototype.default_view=F},\n",
-       "      487: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n",
-       "      488: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root .bk-cell-special-defaults{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .bk-cell-select{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .slick-cell.bk-cell-index{border-right-color:silver;border-right-style:solid;background:#f5f5f5;text-align:right;background:#f0f0f0;color:#909090;}.bk-root .bk-header-index .slick-column-name{float:right;}.bk-root .slick-row.selected .bk-cell-index{background-color:transparent;}.bk-root .slick-row.odd{background:#f0f0f0;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;border-right-color:transparent;border:0.25px solid transparent;}.bk-root .slick-cell .bk{line-height:inherit;}.bk-root .slick-cell.active{border-style:dashed;}.bk-root .slick-cell.selected{background-color:#F0F8FF;}.bk-root .slick-cell.editable{padding-left:0;padding-right:0;}.bk-root .bk-cell-editor{display:contents;}.bk-root .bk-cell-editor input,.bk-root .bk-cell-editor select{width:100%;height:100%;border:0;margin:0;padding:0;outline:0;background:transparent;vertical-align:baseline;}.bk-root .bk-cell-editor input{padding-left:4px;padding-right:4px;}.bk-root .bk-cell-editor-completion{font-size:11px;}'},\n",
-       "      489: function _(t,e,r,n,a){n();const o=t(1);var l,s,i,c,u,m;const _=(0,o.__importDefault)(t(151)),d=(0,o.__importStar)(t(153)),f=t(490),g=t(43),h=t(20),F=t(8),p=t(34),b=t(22),S=t(53);class x extends S.Model{constructor(t){super(t)}doFormat(t,e,r,n,a){return null==r?\"\":`${r}`.replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=x,x.__name__=\"CellFormatter\";class M extends x{constructor(t){super(t)}doFormat(t,e,r,n,a){const{font_style:o,text_align:l,text_color:s}=this,i=(0,g.div)(null==r?\"\":`${r}`);switch(o){case\"bold\":i.style.fontWeight=\"bold\";break;case\"italic\":i.style.fontStyle=\"italic\"}return null!=l&&(i.style.textAlign=l),null!=s&&(i.style.color=(0,b.color2css)(s)),i.outerHTML}}r.StringFormatter=M,l=M,M.__name__=\"StringFormatter\",l.define((({Color:t,Nullable:e})=>({font_style:[h.FontStyle,\"normal\"],text_align:[h.TextAlign,\"left\"],text_color:[e(t),null]})));class N extends M{constructor(t){super(t)}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,n,a){const o=Math.abs(r)<=this.scientific_limit_low||Math.abs(r)>=this.scientific_limit_high;let l=this.precision;return l<1&&(l=1),r=null!=r&&!isNaN(r)||null==this.nan_format?0==r?(0,p.to_fixed)(r,1):o?r.toExponential(l):(0,p.to_fixed)(r,l):this.nan_format,super.doFormat(t,e,r,n,a)}}r.ScientificFormatter=N,s=N,N.__name__=\"ScientificFormatter\",s.define((({Number:t,String:e,Nullable:r})=>({nan_format:[r(e),null],precision:[t,10],power_limit_high:[t,5],power_limit_low:[t,-3]})));class w extends M{constructor(t){super(t)}doFormat(t,e,r,n,a){const{format:o,language:l,nan_format:s}=this,i=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=null!=r&&!isNaN(r)||null==s?d.format(r,o,l,i):s,super.doFormat(t,e,r,n,a)}}r.NumberFormatter=w,i=w,w.__name__=\"NumberFormatter\",i.define((({String:t,Nullable:e})=>({format:[t,\"0,0\"],language:[t,\"en\"],rounding:[h.RoundingFunction,\"round\"],nan_format:[e(t),null]})));class C extends x{constructor(t){super(t)}doFormat(t,e,r,n,a){return r?(0,g.i)({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=C,c=C,C.__name__=\"BooleanFormatter\",c.define((({String:t})=>({icon:[t,\"check\"]})));class y extends M{constructor(t){super(t)}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,n,a){const{nan_format:o}=this;let l;return l=null!=(r=(0,F.isString)(r)?parseInt(r,10):r)&&!isNaN(r)&&-9223372036854776!==r||null==o?null==r?\"\":(0,_.default)(r,this.getFormat()):o,super.doFormat(t,e,l,n,a)}}r.DateFormatter=y,u=y,y.__name__=\"DateFormatter\",u.define((({String:t,Nullable:e})=>({format:[t,\"ISO-8601\"],nan_format:[e(t),null]})));class T extends x{constructor(t){super(t)}doFormat(t,e,r,n,a){const{template:o}=this;if(null==r)return\"\";return f._.template(o)(Object.assign(Object.assign({},a),{value:r}))}}r.HTMLTemplateFormatter=T,m=T,T.__name__=\"HTMLTemplateFormatter\",m.define((({String:t})=>({template:[t,\"<%= value %>\"]})))},\n",
-       "      490: function _(e,n,t,f,i){var o=e(491),d=o.template;function r(e,n,t){return d(e,n,t)}r._=o,n.exports=r,\"function\"==typeof define&&define.amd?define((function(){return r})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=r)},\n",
-       "      491: function _(r,e,n,t,a){\n",
-       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
-       "      //     Underscore may be freely distributed under the MIT license.\n",
-       "      var u={},c=Array.prototype,o=Object.prototype,l=c.slice,i=o.toString,f=o.hasOwnProperty,s=c.forEach,p=Object.keys,_=Array.isArray,h=function(){},v=h.each=h.forEach=function(r,e,n){if(null!=r)if(s&&r.forEach===s)r.forEach(e,n);else if(r.length===+r.length){for(var t=0,a=r.length;t<a;t++)if(e.call(n,r[t],t,r)===u)return}else{var c=h.keys(r);for(t=0,a=c.length;t<a;t++)if(e.call(n,r[c[t]],c[t],r)===u)return}};h.keys=p||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)h.has(r,n)&&e.push(n);return e},h.defaults=function(r){return v(l.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},h.isArray=_||function(r){return\"[object Array]\"===i.call(r)},h.has=function(r,e){if(!h.isArray(e))return null!=r&&f.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!f.call(r,a))return!1;r=r[a]}return!!n};var g={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},y={escape:new RegExp(\"[\"+h.keys(g.escape).join(\"\")+\"]\",\"g\")};h.each([\"escape\"],(function(r){h[r]=function(e){return null==e?\"\":(\"\"+e).replace(y[r],(function(e){return g[r][e]}))}})),h.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var j=/(.)^/,b={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},w=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;h.template=function(r,e,n){var t;n=h.defaults({},n,h.templateSettings);var a=new RegExp([(n.escape||j).source,(n.interpolate||j).source,(n.evaluate||j).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(w,(function(r){return\"\\\\\"+b[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,h);var o=function(r){return t.call(this,r,h)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=h},\n",
-       "      492: function _(e,t,i,s,o){s();const n=e(1);var l;const r=e(493),d=e(497),a=e(498),h=e(499),u=e(34),c=e(8),_=e(9),m=e(13),g=e(19),p=e(508),f=e(487),b=e(509),w=e(510),x=(0,n.__importStar)(e(488)),C=x,v=(0,n.__importDefault)(e(511));i.AutosizeModes={fit_columns:\"FCV\",fit_viewport:\"FVC\",force_fit:\"LFF\",none:\"NOA\"};let z=!1;class A{constructor(e,t){this.init(e,t)}init(e,t){if(f.DTINDEX_NAME in e.data)throw new Error(`special name ${f.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=[...this.view.indices]}getLength(){return this.index.length}getItem(e){const t={};for(const i of(0,m.keys)(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[f.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==f.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getRecords(){return(0,_.range)(0,this.getLength()).map((e=>this.getItem(e)))}getItems(){return this.getRecords()}slice(e,t,i){return e=null!=e?e:0,t=null!=t?t:this.getLength(),i=null!=i?i:1,(0,_.range)(e,t,i).map((e=>this.getItem(e)))}sort(e){let t=e.map((e=>[e.sortCol.field,e.sortAsc?1:-1]));0==t.length&&(t=[[f.DTINDEX_NAME,1]]);const i=this.getRecords(),s=this.index.slice();this.index.sort(((e,o)=>{for(const[n,l]of t){const t=i[s.indexOf(e)][n],r=i[s.indexOf(o)][n];if(t!==r)return(0,c.isNumber)(t)&&(0,c.isNumber)(r)?l*(t-r||+isNaN(t)-+isNaN(r)):`${t}`>`${r}`?l:-l}return 0}))}}i.TableDataProvider=A,A.__name__=\"TableDataProvider\";class M extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._width=null}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render())),this.connect(this.model.source.streaming,(()=>this.updateGrid())),this.connect(this.model.source.patching,(()=>this.updateGrid())),this.connect(this.model.source.change,(()=>this.updateGrid())),this.connect(this.model.source.properties.data.change,(()=>this.updateGrid())),this.connect(this.model.source.selected.change,(()=>this.updateSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.updateSelection()));for(const e of this.model.columns)this.connect(e.change,(()=>{this.invalidate_layout(),this.render()}))}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),v.default,x.default]}update_position(){super.update_position(),this.grid.resizeCanvas()}after_layout(){super.after_layout(),this.updateLayout(!0,!1)}box_sizing(){const e=super.box_sizing();return\"fit_viewport\"===this.model.autosize_mode&&null!=this._width&&(e.width=this._width),e}updateLayout(e,t){const s=this.autosize;s===i.AutosizeModes.fit_columns||s===i.AutosizeModes.force_fit?(e||this.grid.resizeCanvas(),this.grid.autosizeColumns()):e&&t&&s===i.AutosizeModes.fit_viewport&&this.invalidate_layout()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map((t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc})));this.data.sort(t)}this.grid.invalidate(),this.updateLayout(!0,!0)}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map((e=>this.data.index.indexOf(e))).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:(0,u.uniqueId)(),name:this.model.index_header,field:f.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:C.cell_index,headerCssClass:C.header_index}}css_classes(){return super.css_classes().concat(C.data_table)}get autosize(){let e;return e=!0===this.model.fit_columns?i.AutosizeModes.force_fit:!1===this.model.fit_columns?i.AutosizeModes.none:i.AutosizeModes[this.model.autosize_mode],e}render(){var e;const t=this.model.columns.filter((e=>e.visible)).map((e=>Object.assign(Object.assign({},e.toColumn()),{parent:this})));let s=null;if(\"checkbox\"==this.model.selectable&&(s=new d.CheckboxSelectColumn({cssClass:C.cell_select}),t.unshift(s.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:o}=this.model;!o||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(z||(g.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),z=!0),o=!1);let n=-1,l=!1;const{frozen_rows:u,frozen_columns:_}=this.model,m=null==_?-1:_-1;null!=u&&(l=u<0,n=Math.abs(u));const p={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:o,autosizeColsMode:this.autosize,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:this.model.auto_edit,autoHeight:!1,rowHeight:this.model.row_height,frozenColumn:m,frozenRow:n,frozenBottom:l},f=null!=this.grid;if(this.data=new A(this.model.source,this.model.view),this.grid=new h.Grid(this.el,this.data,t,p),this.autosize==i.AutosizeModes.fit_viewport){this.grid.autosizeColumns();let i=0;for(const s of t)i+=null!==(e=s.width)&&void 0!==e?e:0;this._width=Math.ceil(i)}if(this.grid.onSort.subscribe(((e,t)=>{if(!this.model.sortable)return;const i=t.sortCols;null!=i&&(this.data.sort(i),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(i))})),!1!==this.model.selectable){this.grid.setSelectionModel(new r.RowSelectionModel({selectActiveRow:null==s})),null!=s&&this.grid.registerPlugin(s);const e={dataItemColumnValueExtractor(e,t){let i=e[t.field];return(0,c.isString)(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new a.CellExternalCopyManager(e)),this.grid.onSelectedRowsChanged.subscribe(((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map((e=>this.data.index[e])))})),this.updateSelection(),this.model.header_row||this._hide_header()}f&&this.updateLayout(f,!1)}_hide_header(){for(const e of this.el.querySelectorAll(\".slick-header-columns\"))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=M,M.__name__=\"DataTableView\";class D extends b.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}update_sort_columns(e){this._sort_columns=e.map((({sortCol:e,sortAsc:t})=>({field:e.field,sortAsc:t})))}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?(0,_.some)(t,(t=>e.top<=t&&t<=e.bottom))?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,l=D,D.__name__=\"DataTable\",l.prototype.default_view=M,l.define((({Array:e,Boolean:t,Int:i,Ref:s,String:o,Enum:n,Or:l,Nullable:r})=>({autosize_mode:[n(\"fit_columns\",\"fit_viewport\",\"none\",\"force_fit\"),\"force_fit\"],auto_edit:[t,!1],columns:[e(s(w.TableColumn)),[]],fit_columns:[r(t),null],frozen_columns:[r(i),null],frozen_rows:[r(i),null],sortable:[t,!0],reorderable:[t,!0],editable:[t,!1],selectable:[l(t,n(\"checkbox\")),!0],index_position:[r(i),0],index_header:[o,\"#\"],index_width:[i,40],scroll_to_selection:[t,!0],header_row:[t,!0],row_height:[i,25]}))),l.override({width:600,height:400})},\n",
-       "      493: function _(e,t,n,o,r){var l=e(494),i=e(496);t.exports={RowSelectionModel:function(e){var t,n,o,r=[],c=this,u=new i.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,r=0;r<e.length;r++)n.push(new i.Range(e[r],0,e[r],o));return n}function w(){return f(r)}function g(e){(r&&0!==r.length||e&&0!==e.length)&&(r=e,c.onSelectedRangesChanged.notify(r))}function v(e,n){o.selectActiveRow&&null!=n.row&&g([new i.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==i.keyCode.UP||e.which==i.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var r,l=o[0],c=o[o.length-1];if((r=e.which==i.keyCode.DOWN?n.row<c||l==c?++c:++l:n.row<c?--c:--l)>=0&&r<t.getDataLength())t.scrollRowIntoView(r),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(l,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var o=f(r),i=l.inArray(n.row,o);if(-1===i&&(e.ctrlKey||e.metaKey))o.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==i&&(e.ctrlKey||e.metaKey))o=l.grep(o,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(o.length&&e.shiftKey){var c=o.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);o=[];for(var a=u;a<=s;a++)a!==c&&o.push(a);o.push(c),t.setActiveCell(n.row,n.cell)}return g(h(o)),e.stopImmediatePropagation(),!0}l.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return r},setSelectedRanges:g,init:function(n){o=l.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},pluginName:\"RowSelectionModel\",onSelectedRangesChanged:new i.Event})}}},\n",
-       "      494: function _(e,n,f,o,t){n.exports=\"undefined\"!=typeof $?$:e(495)},\n",
-       "      495: function _(e,t,n,r,i){\n",
-       "      /*!\n",
-       "           * jQuery JavaScript Library v3.6.0\n",
-       "           * https://jquery.com/\n",
-       "           *\n",
-       "           * Includes Sizzle.js\n",
-       "           * https://sizzlejs.com/\n",
-       "           *\n",
-       "           * Copyright OpenJS Foundation and other contributors\n",
-       "           * Released under the MIT license\n",
-       "           * https://jquery.org/license\n",
-       "           *\n",
-       "           * Date: 2021-03-02T17:08Z\n",
-       "           */\n",
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-       "      496: function _(t,n,i,o,e){var r=t(494);function u(){var t=!1,n=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){n=!0},this.isImmediatePropagationStopped=function(){return n}}function s(){this.__nonDataRow=!0}function l(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function c(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function h(){var t=null;this.isActive=function(n){return n?t===n:null!==t},this.activate=function(n){if(n!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!n.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!n.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=n}},this.deactivate=function(n){if(t!==n)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}l.prototype=new s,l.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},c.prototype=new s,n.exports={Event:function(){var t=[];this.subscribe=function(n){t.push(n)},this.unsubscribe=function(n){for(var i=t.length-1;i>=0;i--)t[i]===n&&t.splice(i,1)},this.notify=function(n,i,o){var e;i=i||new u,o=o||this;for(var r=0;r<t.length&&!i.isPropagationStopped()&&!i.isImmediatePropagationStopped();r++)e=t[r].call(o,i,n);return e}},EventData:u,EventHandler:function(){var t=[];this.subscribe=function(n,i){return t.push({event:n,handler:i}),n.subscribe(i),this},this.unsubscribe=function(n,i){for(var o=t.length;o--;)if(t[o].event===n&&t[o].handler===i)return t.splice(o,1),void n.unsubscribe(i);return this},this.unsubscribeAll=function(){for(var n=t.length;n--;)t[n].event.unsubscribe(t[n].handler);return t=[],this}},Range:function(t,n,i,o){void 0===i&&void 0===o&&(i=t,o=n),this.fromRow=Math.min(t,i),this.fromCell=Math.min(n,o),this.toRow=Math.max(t,i),this.toCell=Math.max(n,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,n){return t>=this.fromRow&&t<=this.toRow&&n>=this.fromCell&&n<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:s,Group:l,GroupTotals:c,EditorLock:h,GlobalEditorLock:new h,TreeColumns:function(t){var n={};function i(t){t.forEach((function(t){n[t.id]=t,t.columns&&i(t.columns)}))}function o(t,n){return t.filter((function(t){var i=n.call(t);return i&&t.columns&&(t.columns=o(t.columns,n)),i&&(!t.columns||t.columns.length)}))}function e(t,n){t.sort((function(t,i){return u(n.getColumnIndex(t.id))-u(n.getColumnIndex(i.id))})).forEach((function(t){t.columns&&e(t.columns,n)}))}function u(t){return void 0===t?-1:t}function s(t){if(!t.length)return t.columns?1+s(t.columns):1;for(var n in t)return s(t[n])}function l(t,n,i){var o=[];if(n==(i=i||0))return t.length&&t.forEach((function(t){t.columns&&(t.extractColumns=function(){return c(t)})})),t;for(var e in t)t[e].columns&&(o=o.concat(l(t[e].columns,n,i+1)));return o}function c(t){var n=[];if(t.hasOwnProperty(\"length\"))for(var i=0;i<t.length;i++)n=n.concat(c(t[i]));else{if(!t.hasOwnProperty(\"columns\"))return t;n=n.concat(c(t.columns))}return n}function h(){return r.extend(!0,[],t)}i(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?c(t):t},this.getDepth=function(){return s(t)},this.getColumnsInDepth=function(n){return l(t,n)},this.getColumnsInGroup=function(t){return c(t)},this.visibleColumns=function(){return o(h(),(function(){return this.visible}))},this.filter=function(t){return o(h(),t)},this.reOrder=function(n){return e(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n",
-       "      497: function _(e,t,o,l,n){var i=e(494),c=e(496);t.exports={CheckboxSelectColumn:function(e){var t,o=null,l=k(),n=new c.EventHandler,r={},d=!1,a=i.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){i(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||i(\"#header-filter-selector\"+l).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(i.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(i(e.target).is(\":checked\")){for(var l=[],n=0;n<t.getDataLength();n++){C(n,t.getDataItem(n),t)&&l.push(n)}t.setSelectedRows(l)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox' checked='checked'><label for='header-selector\"+l+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",a.toolTip)}function v(e){o=e}i.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(i(t.node).empty(),i(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+l+\"' type='checkbox'><label for='header-filter-selector\"+l+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,m)},destroy:function(){n.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(i.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=i.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),n.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=i(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n",
-       "      498: function _(e,t,o,l,n){var a=e(494),r=e(496),i=r.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,l=this,n=e||{},s=n.copiedCellStyleLayerKey||\"copy-manager\",u=n.copiedCellStyle||\"copied\",c=0,d=n.bodyElement||document.body,f=n.onCopyInit||null,h=n.onCopySuccess||null;function C(e){if(n.headerColumnValueExtractor){var t=n.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,l){if(n.dataItemColumnValueExtractor){var r=n.dataItemColumnValueExtractor(e,o);if(r)return r}var i=\"\";if(o.editor){var s={container:a(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:l},u=new o.editor(s);u.loadValue(e),i=u.serializeValue(),u.destroy()}else i=e[o.field];return i}function g(e,o,l){if(o.denyPaste)return null;if(n.dataItemColumnValueSetter)return n.dataItemColumnValueSetter(e,o,l);if(o.editor){var r={container:a(\"body\"),column:o,position:{top:0,left:0},grid:t},i=new o.editor(r);i.loadValue(e),i.applyValue(e,l),i.destroy()}else e[o.field]=l}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,a){var r;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==i.ESC&&o&&(e.preventDefault(),w(),l.onCopyCancelled.notify({ranges:o}),o=null),(e.which===i.C||e.which===i.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(r=t.getSelectionModel().getSelectedRanges()).length)){o=r,v(r),l.onCopyCells.notify({ranges:r});for(var s=t.getColumns(),u=\"\",c=0;c<r.length;c++){for(var y=r[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&n.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===r.length?r[0].toRow+1-r[0].fromRow:r.length,h.call(this,I)}return!1}if(!n.readOnlyMode&&(e.which===i.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===i.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),a=t.value.split(/[\\n\\f\\r]/);\"\"===a[a.length-1]&&a.pop();var r=[],i=0;d.removeChild(t);for(var s=0;s<a.length;s++)\"\"!==a[s]?r[i++]=a[s].split(\"\\t\"):r[i++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=r.length,y=r.length?r[0].length:0;1==r.length&&1==r[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&n.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(n.newRowCreator&&R){var x=h+p-e.getDataLength();n.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:r,oldValues:[],cellExternalCopyManager:l,_options:n,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var i=e.getDataItem(n);this.oldValues[t][l]=i[o[a].field],m?this.setDataItemValueForColumn(i,o[a],r[0][0]):this.setDataItemValueForColumn(i,o[a],r[t]?r[t][l]:\"\"),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};n.clipboardCommandHandler?n.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),n={},a=0;a<e.length;a++)for(var r=e[a].fromRow;r<=e[a].toRow;r++){n[r]={};for(var i=e[a].fromCell;i<=e[a].toCell&&i<o.length;i++)n[r][o[i].id]=u}t.setCellCssStyles(s,n),clearTimeout(c),c=setTimeout((function(){l.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}a.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new r.Event,onCopyCancelled:new r.Event,onPasteCells:new r.Event,setIncludeHeaderWhenCopying:function(e){n.includeHeaderWhenCopying=e}})}}},\n",
-       "      499: function _(r,t,o,_,e){var p=r(1);p.__exportStar(r(496),t.exports),p.__exportStar(r(500),t.exports),p.__exportStar(r(503),t.exports),p.__exportStar(r(504),t.exports),p.__exportStar(r(505),t.exports),p.__exportStar(r(506),t.exports),p.__exportStar(r(507),t.exports)},\n",
-       "      500: function _(require,module,exports,__esModule,__esExport){\n",
-       "      /**\n",
-       "           * @license\n",
-       "           * (c) 2009-2016 Michael Leibman\n",
-       "           * michael{dot}leibman{at}gmail{dot}com\n",
-       "           * http://github.com/mleibman/slickgrid\n",
-       "           *\n",
-       "           * Distributed under MIT license.\n",
-       "           * All rights reserved.\n",
-       "           *\n",
-       "           * SlickGrid v2.4\n",
-       "           *\n",
-       "           * NOTES:\n",
-       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
-       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
-       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
-       "           *     and do proper cleanup.\n",
-       "           */\n",
-       "      var $=require(494),Slick=require(496),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(501),$.fn.drop||require(502);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)||trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){if(!Array.isArray(e)||!Array.isArray(o))return!0;const t=new Set(e),n=new Set(o);if(t.size!=n.size)return!1;for(const e of t)if(!n.has(e))return!1;return!0}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
-       "      501: function _(t,e,a,n,r){\n",
-       "      /*!\n",
-       "           * jquery.event.drag - v 2.3.0\n",
-       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
-       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
-       "           */\n",
-       "      var o=t(494);o.fn.drag=function(t,e,a){var n=\"string\"==typeof t?t:\"\",r=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drag\")&&(n=\"drag\"+n),a=(t==r?e:a)||{},r?this.on(n,a,r):this.trigger(n)};var i=o.event,d=i.special,s=d.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=o.data(this,s.datakey),a=t.data||{};e.related+=1,o.each(s.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){o.data(this,s.datakey).related-=1},setup:function(){if(!o.data(this,s.datakey)){var t=o.extend({related:0},s.defaults);o.data(this,s.datakey,t),i.add(this,\"touchstart mousedown\",s.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",s.dontstart)}},teardown:function(){(o.data(this,s.datakey)||{}).related||(o.removeData(this,s.datakey),i.remove(this,\"touchstart mousedown\",s.init),s.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",s.dontstart))},init:function(t){if(!s.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var n=o(t.target).attr(\"class\")||\"\";if(!o(t.target).is(a.not)&&n&&-1!==n.toString().indexOf(\"slick\")&&(!a.handle||o(t.target).closest(a.handle,t.currentTarget).length)&&(s.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[s.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=s.hijack(t,\"draginit\",a),a.propagates))return(e=s.flatten(e))&&e.length&&(a.interactions=[],o.each(e,(function(){a.interactions.push(s.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&d.drop&&d.drop.handler(t,a),s.textselect(!1),s.touched?i.add(s.touched,\"touchmove touchend\",s.handler,a):i.add(document,\"mousemove mouseup\",s.handler,a),!(!s.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&o(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new s.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,s.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(s.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&d.drop&&d.drop.handler(t,e);break}t.type=\"mouseup\"}default:s.touched?i.remove(s.touched,\"touchmove touchend\",s.handler):i.remove(document,\"mousemove mouseup\",s.handler),e.dragging&&(!1!==e.drop&&d.drop&&d.drop.handler(t,e),s.hijack(t,\"dragend\",e)),s.textselect(!0),!1===e.click&&e.dragging&&o.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=s.touched=!1}},hijack:function(t,e,a,n,r){if(a){var d,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=n||0,h=isNaN(n)?a.interactions.length:n;t.type=e;var f=function(){};t.originalEvent=new o.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=s.properties(t,a,c),c.results=[],o(r||c[u]||a.droppable).each((function(n,r){if(l.target=r,t.isPropagationStopped=function(){return!1},!1===(d=r?i.dispatch.call(r,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][n]=null)):\"dropinit\"==e&&c.droppable.push(s.element(d)||r),\"dragstart\"==e&&(c.proxy=o(s.element(d)||c.drag)[0]),c.results.push(d),delete t.result,\"dropinit\"!==e)return d})),a.results[g]=s.flatten(c.results),\"dropinit\"==e&&(c.droppable=s.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,s.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=s.flatten((a.drop||[]).slice()),n.available=s.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return o.map(t,(function(t){return t&&t.jquery?o.makeArray(t):t&&t.length?s.flatten(t):t}))},textselect:function(t){o(document)[t?\"off\":\"on\"](\"selectstart\",s.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};s.callback.prototype={update:function(){d.drop&&this.available.length&&o.each(this.available,(function(t){d.drop.locate(this,t)}))}};var c=i.dispatch;i.dispatch=function(t){if(!(o.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return c.apply(this,arguments);o.removeData(this,\"suppress.\"+t.type)},d.draginit=d.dragstart=d.dragend=s},\n",
-       "      502: function _(t,e,a,n,i){\n",
-       "      /*!\n",
-       "           * jquery.event.drop - v 2.3.0\n",
-       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
-       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
-       "           */\n",
-       "      var o=t(494);o.fn.drop=function(t,e,a){var n=\"string\"==typeof t?t:\"\",i=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drop\")&&(n=\"drop\"+n),a=(t==i?e:a)||{},i?this.on(n,a,i):this.trigger(n)},o.drop=function(t){t=t||{},d.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?d.multi:t.multi,d.delay=t.delay||d.delay,d.tolerance=o.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:d.tolerance,d.mode=t.mode||d.mode||\"intersect\"};var r=o.event.special,d=o.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){o.data(this,d.datakey).related+=1},remove:function(){o.data(this,d.datakey).related-=1},setup:function(){if(!o.data(this,d.datakey)){o.data(this,d.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),d.targets.push(this)}},teardown:function(){if(!(o.data(this,d.datakey)||{}).related){o.removeData(this,d.datakey);var t=this;d.targets=o.grep(d.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=o(d.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=o.data(this,d.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,r.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":d.event=t,d.timer||d.tolerate(e);break;case\"mouseup\":case\"touchend\":d.timer=clearTimeout(d.timer),e.propagates&&(r.drag.hijack(t,\"drop\",e),r.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=o.data(t,d.datakey),n=o(t),i=n.length&&!n.is(document)?n.offset():{},r=n.outerHeight(),l=n.outerWidth(),c={elem:t,width:l,height:r,top:i.top,left:i.left,right:i.left+l,bottom:i.top+r};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,n,i,l,c,s,u,p=0,h=t.interactions.length,m=[d.event.pageX,d.event.pageY],f=d.tolerance||d.modes[d.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(n=d.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(i=o.data(s,d.datakey)).location))continue;i.winner=f?f.call(d,d.event,n,a):d.contains(a,m)?1:0,l.push(i)}}while(++e<c);l.sort(d.sort),e=0;do{(i=l[e])&&(i.winner&&u.drop.length<d.multi?(i.active[p]||i.anyactive||(!1!==r.drag.hijack(d.event,\"dropstart\",t,p,i.elem)[0]?(i.active[p]=1,i.anyactive+=1):i.winner=0),i.winner&&u.drop.push(i.elem)):i.active[p]&&1==i.anyactive&&(r.drag.hijack(d.event,\"dropend\",t,p,i.elem),i.active[p]=0,i.anyactive-=1))}while(++e<c)}}while(++p<h);d.last&&m[0]==d.last.pageX&&m[1]==d.last.pageY?delete d.timer:d.timer=setTimeout((function(){d.tolerate(t)}),d.delay),d.last=d.event}};r.dropinit=r.dropstart=r.dropend=d},\n",
-       "      503: function _(e,t,n,r,o){var i=e(494),l=e(496);var a={Avg:function(e){this.field_=e,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(e){var t=e[this.field_];this.count_++,null==t||\"\"===t||isNaN(t)||(this.nonNullCount_++,this.sum_+=parseFloat(t))},this.storeResult=function(e){e.avg||(e.avg={}),0!==this.nonNullCount_&&(e.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(e){this.field_=e,this.init=function(){this.min_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.min_||t<this.min_)&&(this.min_=t)},this.storeResult=function(e){e.min||(e.min={}),e.min[this.field_]=this.min_}},Max:function(e){this.field_=e,this.init=function(){this.max_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.max_||t>this.max_)&&(this.max_=t)},this.storeResult=function(e){e.max||(e.max={}),e.max[this.field_]=this.max_}},Sum:function(e){this.field_=e,this.init=function(){this.sum_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(this.sum_+=parseFloat(t))},this.storeResult=function(e){e.sum||(e.sum={}),e.sum[this.field_]=this.sum_}},Count:function(e){this.field_=e,this.init=function(){},this.storeResult=function(e){e.count||(e.count={}),e.count[this.field_]=e.group.rows.length}}};t.exports={DataView:function(e){var t,n,r,o,a,u=this,s=\"id\",g=[],c=[],f={},h=null,p=null,d=null,m=!1,v=!0,_={},w={},y=[],$=[],C={getter:null,formatter:null,comparer:function(e,t){return e.value===t.value?0:e.value>t.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},I=[],R=[],x=[],E=\":|:\",M=0,S=0,b=0,F=new l.Event,A=new l.Event,N=new l.Event,G=new l.Event,T=new l.Event,O=new l.Event,P=new l.Event,D=new l.Event;function K(e){for(var t,n=e=e||0,r=g.length;n<r;n++){if(void 0===(t=g[n][s]))throw new Error(\"Each data element must implement a unique 'id' property\");f[t]=n}}function j(){var e=M?Math.max(1,Math.ceil(b/M)):1;return{pageSize:M,pageNum:S,totalRows:b,totalPages:e,dataView:u}}function B(e,r){v=r,n=e,t=null,!1===r&&g.reverse(),g.sort(e),!1===r&&g.reverse(),f={},K(),se()}function z(e,r){v=r,t=e,n=null;var o=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof e?e:function(){return this[e]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=o,!1===r&&g.reverse(),f={},K(),se()}function V(t){e.groupItemMetadataProvider||(e.groupItemMetadataProvider=new l.Data.GroupItemMetadataProvider),R=[],x=[],I=(t=t||[])instanceof Array?t:[t];for(var n=0;n<I.length;n++){var r=I[n]=i.extend(!0,{},C,I[n]);r.getterIsAFn=\"function\"==typeof r.getter,r.compiledAccumulators=[];for(var o=r.aggregators.length;o--;)r.compiledAccumulators[o]=re(r.aggregators[o]);x[n]={}}se()}function q(){if(!h){h={};for(var e=0,t=c.length;e<t;e++)h[c[e][s]]=e}}function U(e){return g[f[e]]}function L(e,t){if(void 0===f[e])throw new Error(\"Invalid id\");if(e!==t[s]){var n=t[s];if(null==n)throw new Error(\"Cannot update item to associate with a null id\");if(void 0!==f[n])throw new Error(\"Cannot update item to associate with a non-unique id\");f[n]=f[e],delete f[e],d&&d[e]&&delete d[e],e=n}g[f[e]]=t,d||(d={}),d[e]=!0,se()}function k(e,t){g.splice(e,0,t),K(e),se()}function H(e){var t=f[e];if(void 0===t)throw new Error(\"Invalid id\");delete f[e],g.splice(t,1),K(t),se()}function W(e){if(!n)throw new 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n=e.inlineFilters?o:ie,i=e.inlineFilters?a:le;_.isFilterNarrowing?y=n(y,r):_.isFilterExpanding?y=i(t,r,$):_.isFilterUnchanged||(y=n(t,r))}else y=M?t:t.concat();var l;return M?(y.length<=S*M&&(S=0===y.length?0:Math.floor((y.length-1)/M)),l=y.slice(M*S,M*S+M)):l=y,{totalRows:y.length,rows:l}}function ue(e){h=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||($=[]);var t=ae(e);b=t.totalRows;var n=t.rows;R=[],I.length&&(R=X(n)).length&&(n=te(R));var r=function(e,t){var n,r,o,i=[],l=0,a=Math.max(t.length,e.length);_&&_.ignoreDiffsBefore&&(l=Math.max(0,Math.min(t.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(a=Math.min(t.length,Math.max(0,_.ignoreDiffsAfter)));for(var u=l,g=e.length;u<a;u++)u>=g?i[i.length]=u:(n=t[u],r=e[u],(!n||I.length&&(o=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||o&&(n.__groupTotals||r.__groupTotals)||n[s]!=r[s]||d&&d[n[s]])&&(i[i.length]=u));return i}(c,n);return c=n,r}function se(){if(!m){var e=i.extend(!0,{},j()),t=c.length,n=b,r=ue(g);M&&b<S*M&&(S=Math.max(0,Math.ceil(b/M)-1),r=ue(g)),d=null,w=_,_={},n!==b&&(T.notify(e,null,u),O.notify(j(),null,u)),t!==c.length&&A.notify({previous:t,current:c.length,dataView:u,callingOnRowsChanged:r.length>0},null,u),r.length>0&&N.notify({rows:r,dataView:u,calledOnRowCountChanged:t!==c.length},null,u),(t!==c.length||r.length>0)&&G.notify({rowsDiff:r,previousRowCount:t,currentRowCount:c.length,rowCountChanged:t!==c.length,rowsChanged:r.length>0,dataView:u},null,u)}}e=i.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},e),i.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,se()},setPagingOptions:function(e){T.notify(j(),null,u),null!=e.pageSize&&(M=e.pageSize,S=M?Math.min(S,Math.max(0,Math.ceil(b/M)-1)):0),null!=e.pageNum&&(S=Math.min(e.pageNum,Math.max(0,Math.ceil(b/M)-1))),O.notify(j(),null,u),se()},getPagingInfo:j,getIdPropertyName:function(){return s},getItems:function(){return g},setItems:function(e,t){void 0!==t&&(s=t),g=y=e,f={},K(),function(){for(var e,t=0,n=g.length;t<n;t++)if(void 0===(e=g[t][s])||f[e]!==t)throw new Error(\"Each data element must implement a unique 'id' property\")}(),se(),F.notify({idProperty:t},null,u)},setFilter:function(t){p=t,e.inlineFilters&&(o=function(){var e=ne(p),t=\"{ continue _coreloop; }$1\",n=\"{ _retval[_idx++] = $item$; continue _coreloop; }$1\",r=e.body.replace(/return false\\s*([;}]|\\}|$)/gi,t).replace(/return!1([;}]|\\}|$)/gi,t).replace(/return true\\s*([;}]|\\}|$)/gi,n).replace(/return!0([;}]|\\}|$)/gi,n).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ($1) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),o=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");o=(o=(o=o.replace(/\\$filter\\$/gi,r)).replace(/\\$item\\$/gi,e.params[0])).replace(/\\$args\\$/gi,e.params[1]);var i=new Function(\"_items,_args\",o),l=\"compiledFilter\";return i.displayName=l,i.name=oe(i,l),i}(),a=function(){var e=ne(p),t=\"{ continue _coreloop; }$1\",n=\"{ _cache[_i] = true;_retval[_idx++] = $item$; continue _coreloop; }$1\",r=e.body.replace(/return false\\s*([;}]|\\}|$)/gi,t).replace(/return!1([;}]|\\}|$)/gi,t).replace(/return true\\s*([;}]|\\}|$)/gi,n).replace(/return!0([;}]|\\}|$)/gi,n).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),o=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");o=(o=(o=o.replace(/\\$filter\\$/gi,r)).replace(/\\$item\\$/gi,e.params[0])).replace(/\\$args\\$/gi,e.params[1]);var i=new Function(\"_items,_args,_cache\",o),l=\"compiledFilterWithCaching\";return i.displayName=l,i.name=oe(i,l),i}()),se()},getFilter:function(){return p},getFilteredItems:function(){return y},sort:B,fastSort:z,reSort:function(){n?B(n,v):t&&z(t,v)},setGrouping:V,getGrouping:function(){return I},groupBy:function(e,t,n){V(null!=e?{getter:e,formatter:t,comparer:n}:[])},setAggregators:function(e,t){if(!I.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");I[0].aggregators=e,I[0].aggregateCollapsed=t,V(I)},collapseAllGroups:function(e){J(e,!0)},expandAllGroups:function(e){J(e,!1)},collapseGroup:function(e){var t,n,r=Array.prototype.slice.call(arguments),o=r[0];1===r.length&&-1!==o.indexOf(E)?(t=o,n=o.split(E).length-1):(t=r.join(E),n=r.length-1),Q(n,t,!0),D.notify({level:n,groupingKey:t})},expandGroup:function(e){var t,n,r=Array.prototype.slice.call(arguments),o=r[0];1===r.length&&-1!==o.indexOf(E)?(n=o.split(E).length-1,t=o):(n=r.length-1,t=r.join(E)),Q(n,t,!1),P.notify({level:n,groupingKey:t})},getGroups:function(){return R},getIdxById:function(e){return f[e]},getRowByItem:function(e){return q(),h[e[s]]},getRowById:function(e){return q(),h[e]},getItemById:U,getItemByIdx:function(e){return g[e]},mapItemsToRows:function(e){var t=[];q();for(var n=0,r=e.length;n<r;n++){var o=h[e[n][s]];null!=o&&(t[t.length]=o)}return t},mapRowsToIds:function(e){for(var t=[],n=0,r=e.length;n<r;n++)e[n]<c.length&&(t[t.length]=c[e[n]][s]);return t},mapIdsToRows:function(e){var t=[];q();for(var n=0,r=e.length;n<r;n++){var o=h[e[n]];null!=o&&(t[t.length]=o)}return t},setRefreshHints:function(e){_=e},setFilterArgs:function(e){r=e},refresh:se,updateItem:L,insertItem:k,addItem:function(e){g.push(e),K(g.length-1),se()},deleteItem:H,sortedAddItem:W,sortedUpdateItem:function(e,t){if(void 0===f[e]||e!==t[s])throw new Error(\"Invalid or non-matching id \"+f[e]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=U(e);0!==n(r,t)?(H(e),W(t)):L(e,t)},syncGridSelection:function(e,t,n){var r,o=this,a=o.mapRowsToIds(e.getSelectedRows()),u=new l.Event;function s(t){a.join(\",\")!=t.join(\",\")&&(a=t,u.notify({grid:e,ids:a,dataView:o},new l.EventData,o))}return e.onSelectedRowsChanged.subscribe((function(t,l){if(!r){var u=o.mapRowsToIds(e.getSelectedRows());if(n&&e.getOptions().multiSelect)s(i.grep(a,(function(e){return void 0===o.getRowById(e)})).concat(u));else s(u)}})),this.onRowsOrCountChanged.subscribe((function(){if(a.length>0){r=!0;var n=o.mapIdsToRows(a);t||s(o.mapRowsToIds(n)),e.setSelectedRows(n),r=!1}})),u},syncGridCellCssStyles:function(e,t){var n,r;function o(e){for(var t in n={},e){var r=c[t][s];n[r]=e[t]}}function i(){if(n){r=!0,q();var o={};for(var i in n){var l=h[i];null!=l&&(o[l]=n[i])}e.setCellCssStyles(t,o),r=!1}}o(e.getCellCssStyles(t)),e.onCellCssStylesChanged.subscribe((function(n,l){r||t==l.key&&(l.hash?o(l.hash):(e.onCellCssStylesChanged.unsubscribe(),u.onRowsOrCountChanged.unsubscribe(i)))})),this.onRowsOrCountChanged.subscribe(i)},getLength:function(){return c.length},getItem:function(e){var t=c[e];if(t&&t.__group&&t.totals&&!t.totals.initialized){var n=I[t.level];n.displayTotalsRow||(Y(t.totals),t.title=n.formatter?n.formatter(t):t.value)}else t&&t.__groupTotals&&!t.initialized&&Y(t);return t},getItemMetadata:function(t){var n=c[t];return void 0===n?null:n.__group?e.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?e.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onSetItemsCalled:F,onRowCountChanged:A,onRowsChanged:N,onRowsOrCountChanged:G,onBeforePagingInfoChanged:T,onPagingInfoChanged:O,onGroupExpanded:P,onGroupCollapsed:D})},Aggregators:a,Data:{Aggregators:a}}},\n",
-       "      504: function _(e,t,i,n,o){var l=e(494),a=e(496);function s(e){var t,i;function n(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=s.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(o){i=o[e.column.field];var l=n();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());s.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=n();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function u(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===a.keyCode.LEFT&&t>0||e.keyCode===a.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function c(e){e.keyCode!==a.keyCode.LEFT&&e.keyCode!==a.keyCode.RIGHT||e.stopImmediatePropagation()}s.DefaultDecimalPlaces=null,s.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:s,Date:function(e){var t,i,n=!1;this.init=function(){(t=l(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){n=!0},onClose:function(){n=!1}}),t.width(t.width()-18)},this.destroy=function(){l.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){n&&l.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){n&&l.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){n&&l.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=l(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=l(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,n;this.init=function(){(t=l(\"<INPUT type=text class='editor-percentcomplete' />\")).width(l(e.container).innerWidth()-25),t.appendTo(e.container),(i=l(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:n,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(l(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",l(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&(parseInt(t.val(),10)||0)!=n},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,n,o=this;this.init=function(){var n=l(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=l(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(n),t=l(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),l(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),o.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==a.keyCode.ENTER&&t.ctrlKey)o.save();else if(t.which==a.keyCode.ESCAPE)t.preventDefault(),o.cancel();else if(t.which==a.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==a.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==a.keyCode.LEFT||t.which==a.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===a.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===a.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(n),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&t.val()!=n},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
-       "      505: function _(e,n,r,t,c){e(496);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
-       "      506: function _(t,o,r,e,n){var a=t(494),l=t(496);o.exports={RemoteModel:function(){var t=50,o={length:0},r=\"\",e=null,n=1,i=null,s=null,u=new l.Event,f=new l.Event;function c(){for(var t in o)delete o[t];o.length=0}function h(l,c){if(s){s.abort();for(var h=s.fromPage;h<=s.toPage;h++)o[h*t]=void 0}l<0&&(l=0),o.length>0&&(c=Math.min(c,o.length-1));for(var v=Math.floor(l/t),m=Math.floor(c/t);void 0!==o[v*t]&&v<m;)v++;for(;void 0!==o[m*t]&&v<m;)m--;if(v>m||v==m&&void 0!==o[v*t])f.notify({from:l,to:c});else{var g=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+r+\"&start=\"+v*t+\"&limit=\"+((m-v)*t+t);null!=e&&(g+=\"&sortby=\"+e+(n>0?\"+asc\":\"+desc\")),null!=i&&clearTimeout(i),i=setTimeout((function(){for(var r=v;r<=m;r++)o[r*t]=null;u.notify({from:l,to:c}),s=a.jsonp({url:g,callbackParameter:\"callback\",cache:!0,success:d,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(v,m)}}),s.fromPage=v,s.toPage=m}),50)}}function d(t){var r=t.request.start,e=r+t.results.length;o.length=Math.min(parseInt(t.hits),1e3);for(var n=0;n<t.results.length;n++){var a=t.results[n].item;o[r+n]=a,o[r+n].index=r+n}s=null,f.notify({from:r,to:e})}return{data:o,clear:c,isDataLoaded:function(t,r){for(var e=t;e<=r;e++)if(null==o[e]||null==o[e])return!1;return!0},ensureData:h,reloadData:function(t,r){for(var e=t;e<=r;e++)delete o[e];h(t,r)},setSort:function(t,o){e=t,n=o,c()},setSearch:function(t){r=t,c()},onDataLoading:u,onDataLoaded:f}}}},\n",
-       "      507: function _(e,s,t,o,l){var a=e(494),r=e(496);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,l,a,r){if(!o.enableExpandCollapse)return a.title;var c=15*a.level+\"px\";return(o.checkboxSelect?'<span class=\"'+o.checkboxSelectCssClass+\" \"+(a.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+o.toggleCssClass+\" \"+(a.collapsed?o.toggleCollapsedCssClass:o.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+o.groupTitleCssClass+\"' level='\"+a.level+\"'>\"+a.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},o=a.extend(!0,{},t,e);function l(e,t){var l=a(e.target),c=this.getDataItem(t.row);if(c&&c instanceof r.Group&&l.hasClass(o.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof r.Group&&l.hasClass(o.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,l.removeClass(c.selectChecked?\"unchecked\":\"checked\"),l.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?o.checkboxSelectPlugin.selectRows:o.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(o.enableExpandCollapse&&e.which==r.keyCode.SPACE){var l=this.getActiveCell();if(l){var a=this.getDataItem(l.row);if(a&&a instanceof r.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),a.collapsed?this.getData().expandGroup(a.groupingKey):this.getData().collapseGroup(a.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:o.groupFocusable,cssClasses:o.groupCssClass+\" slick-group-level-\"+s,formatter:o.includeHeaderTotals&&o.totalsFormatter,columns:{0:{colspan:o.includeHeaderTotals?\"1\":\"*\",formatter:o.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:o.totalsFocusable,cssClasses:o.totalsCssClass+\" slick-group-level-\"+s,formatter:o.totalsFormatter,editor:null}},getOptions:function(){return o},setOptions:function(e){a.extend(!0,o,e)}}}}},\n",
-       "      508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n",
-       "      509: function _(e,i,t,s,n){var u;s();const c=e(508),o=e(75),a=e(190);class r extends c.Widget{constructor(e){super(e)}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=r,u=r,r.__name__=\"TableWidget\",u.define((({Ref:e})=>({source:[e(o.ColumnDataSource),()=>new o.ColumnDataSource],view:[e(a.CDSView),()=>new a.CDSView]})))},\n",
-       "      510: function _(t,e,i,r,o){var l;r();const d=t(489),n=t(486),a=t(34),s=t(20),u=t(53);class f extends u.Model{constructor(t){super(t)}toColumn(){var t;return{id:(0,a.uniqueId)(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=f,l=f,f.__name__=\"TableColumn\",l.define((({Boolean:t,Number:e,String:i,Nullable:r,Ref:o})=>({field:[i],title:[r(i),null],width:[e,300],formatter:[o(d.StringFormatter),()=>new d.StringFormatter],editor:[o(n.StringEditor),()=>new n.StringEditor],sortable:[t,!0],default_sort:[s.Sort,\"ascending\"],visible:[t,!0]})))},\n",
-       "      511: function _(A,o,e,r,i){r(),e.root=\"bk-root\",e.default='.bk-root{}.bk-root .slick-header.ui-state-default,.bk-root .slick-headerrow.ui-state-default,.bk-root .slick-footerrow.ui-state-default,.bk-root .slick-top-panel-scroller.ui-state-default,.bk-root .slick-group-header.ui-state-default{width:100%;overflow:auto;position:relative;border-left:0px !important;}.bk-root .slick-header.ui-state-default{overflow:inherit;}.bk-root .slick-header::-webkit-scrollbar,.bk-root .slick-headerrow::-webkit-scrollbar,.bk-root .slick-footerrow::-webkit-scrollbar{display:none;}.bk-root .slick-header-columns,.bk-root .slick-headerrow-columns,.bk-root .slick-footerrow-columns,.bk-root .slick-group-header-columns{position:relative;white-space:nowrap;cursor:default;overflow:hidden;}.bk-root .slick-header-column.ui-state-default,.bk-root .slick-group-header-column.ui-state-default{position:relative;display:inline-block;box-sizing:content-box !important;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;height:16px;line-height:16px;margin:0;padding:4px;border-right:1px solid silver;border-left:0px !important;border-top:0px !important;border-bottom:0px !important;float:left;}.bk-root .slick-footerrow-column.ui-state-default{-o-text-overflow:ellipsis;text-overflow:ellipsis;margin:0;padding:4px;border-right:1px solid silver;border-left:0px;border-top:0px;border-bottom:0px;float:left;line-height:20px;vertical-align:middle;}.bk-root .slick-headerrow-column.ui-state-default,.bk-root .slick-footerrow-column.ui-state-default{padding:4px;}.bk-root .slick-header-column-sorted{font-style:italic;}.bk-root .slick-sort-indicator{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:6px;float:left;}.bk-root .slick-sort-indicator-numbered{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:0;line-height:20px;float:left;font-family:Arial;font-style:normal;font-weight:bold;color:#6190CD;}.bk-root .slick-sort-indicator-desc{background:url(images/sort-desc.gif);}.bk-root .slick-sort-indicator-asc{background:url(images/sort-asc.gif);}.bk-root .slick-resizable-handle{position:absolute;font-size:0.1px;display:block;cursor:col-resize;width:9px;right:-5px;top:0;height:100%;z-index:1;}.bk-root .slick-sortable-placeholder{background:silver;}.bk-root .grid-canvas{position:relative;outline:0;}.bk-root .slick-row.ui-widget-content,.bk-root .slick-row.ui-state-active{position:absolute;border:0px;width:100%;}.bk-root .slick-cell,.bk-root .slick-headerrow-column,.bk-root .slick-footerrow-column{position:absolute;border:1px solid transparent;border-right:1px dotted silver;border-bottom-color:silver;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;vertical-align:middle;z-index:1;padding:1px 2px 2px 1px;margin:0;white-space:nowrap;cursor:default;}.bk-root .slick-cell,.bk-root .slick-headerrow-column{border-bottom-color:silver;}.bk-root .slick-footerrow-column{border-top-color:silver;}.bk-root .slick-group-toggle{display:inline-block;}.bk-root .slick-cell.highlighted{background:lightskyblue;background:rgba(0, 0, 255, 0.2);-webkit-transition:all 0.5s;-moz-transition:all 0.5s;-o-transition:all 0.5s;transition:all 0.5s;}.bk-root .slick-cell.flashing{border:1px solid red !important;}.bk-root .slick-cell.editable{z-index:11;overflow:visible;background:white;border-color:black;border-style:solid;}.bk-root .slick-cell:focus{outline:none;}.bk-root .slick-reorder-proxy{display:inline-block;background:blue;opacity:0.15;cursor:move;}.bk-root .slick-reorder-guide{display:inline-block;height:2px;background:blue;opacity:0.7;}.bk-root .slick-selection{z-index:10;position:absolute;border:2px dashed black;}.bk-root .slick-pane{position:absolute;outline:0;overflow:hidden;width:100%;}.bk-root .slick-pane-header{display:block;}.bk-root .slick-header{overflow:hidden;position:relative;}.bk-root .slick-headerrow{overflow:hidden;position:relative;}.bk-root .slick-top-panel-scroller{overflow:hidden;position:relative;}.bk-root .slick-top-panel{width:10000px;}.bk-root .slick-viewport{position:relative;outline:0;width:100%;}.bk-root .slick-header-columns{background:url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;border-bottom:1px solid silver;}.bk-root .slick-header-column{background:url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;border-right:1px solid silver;}.bk-root .slick-header-column:hover,.bk-root .slick-header-column-active{background:white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;}.bk-root .slick-headerrow{background:#fafafa;}.bk-root .slick-headerrow-column{background:#fafafa;border-bottom:0;height:100%;}.bk-root .slick-row.ui-state-active{background:#F5F7D7;}.bk-root .slick-row{position:absolute;background:white;border:0px;line-height:20px;}.bk-root .slick-row.selected{z-index:10;background:#DFE8F6;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;}.bk-root .slick-group{border-bottom:2px solid silver;}.bk-root .slick-group-toggle{width:9px;height:9px;margin-right:5px;}.bk-root .slick-group-toggle.expanded{background:url(images/collapse.gif) no-repeat center center;}.bk-root .slick-group-toggle.collapsed{background:url(images/expand.gif) no-repeat center center;}.bk-root .slick-group-totals{color:gray;background:white;}.bk-root .slick-group-select-checkbox{width:13px;height:13px;margin:3px 10px 0 0;display:inline-block;}.bk-root .slick-group-select-checkbox.checked{background:url(images/GrpCheckboxY.png) no-repeat center center;}.bk-root .slick-group-select-checkbox.unchecked{background:url(images/GrpCheckboxN.png) no-repeat center center;}.bk-root .slick-cell.selected{background-color:beige;}.bk-root .slick-cell.active{border-color:gray;border-style:solid;}.bk-root .slick-sortable-placeholder{background:silver !important;}.bk-root .slick-row.odd{background:#fafafa;}.bk-root .slick-row.ui-state-active{background:#F5F7D7;}.bk-root .slick-row.loading{opacity:0.5;}.bk-root .slick-cell.invalid{border-color:red;-moz-animation-duration:0.2s;-webkit-animation-duration:0.2s;-moz-animation-name:slickgrid-invalid-hilite;-webkit-animation-name:slickgrid-invalid-hilite;}@-moz-keyframes slickgrid-invalid-hilite{from{box-shadow:0 0 6px red;}to{box-shadow:none;}}@-webkit-keyframes slickgrid-invalid-hilite{from{box-shadow:0 0 6px red;}to{box-shadow:none;}}.bk-root .slick-column-name,.bk-root .slick-sort-indicator{display:inline-block;float:left;margin-bottom:100px;}.bk-root .slick-header-button{display:inline-block;float:right;vertical-align:top;margin:1px;margin-bottom:100px;height:15px;width:15px;background-repeat:no-repeat;background-position:center center;cursor:pointer;}.bk-root .slick-header-button-hidden{width:0;-webkit-transition:0.2s width;-ms-transition:0.2s width;transition:0.2s width;}.bk-root .slick-header-column:hover > .slick-header-button{width:15px;}.bk-root .slick-header-menubutton{position:absolute;right:0;top:0;bottom:0;width:14px;background-repeat:no-repeat;background-position:left center;background-image:url(../images/down.gif);cursor:pointer;display:none;border-left:thin ridge silver;}.bk-root .slick-header-column:hover > .slick-header-menubutton,.bk-root .slick-header-column-active .slick-header-menubutton{display:inline-block;}.bk-root .slick-header-menu{position:absolute;display:inline-block;margin:0;padding:2px;cursor:default;}.bk-root .slick-header-menuitem{list-style:none;margin:0;padding:0;cursor:pointer;}.bk-root .slick-header-menuicon{display:inline-block;width:16px;height:16px;vertical-align:middle;margin-right:4px;background-repeat:no-repeat;background-position:center center;}.bk-root .slick-header-menucontent{display:inline-block;vertical-align:middle;}.bk-root .slick-header-menuitem-disabled{color:silver;}.bk-root .slick-header-menuitem.slick-header-menuitem-divider{cursor:default;border:none;overflow:hidden;padding:0;height:1px;margin:8px 2px;background-color:#cecece;}.bk-root .slick-header-menuitem-divider.slick-header-menuitem:hover{background-color:#cecece;}.bk-root .slick-columnpicker{border:1px solid #718BB7;background:#f0f0f0;padding:6px;-moz-box-shadow:2px 2px 2px silver;-webkit-box-shadow:2px 2px 2px silver;box-shadow:2px 2px 2px silver;min-width:150px;cursor:default;position:absolute;z-index:20;overflow:auto;resize:both;}.bk-root .slick-columnpicker > .close{float:right;}.bk-root .slick-columnpicker .title{font-size:16px;width:60%;border-bottom:solid 1px #d6d6d6;margin-bottom:10px;}.bk-root .slick-columnpicker li{list-style:none;margin:0;padding:0;background:none;}.bk-root .slick-columnpicker input{margin:4px;}.bk-root .slick-columnpicker li a{display:block;padding:4px;font-weight:bold;}.bk-root .slick-columnpicker li a:hover{background:white;}.bk-root .slick-columnpicker-list li.hidden{display:none;}.bk-root .slick-pager{width:100%;height:26px;border:1px solid gray;border-top:0;background:url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;vertical-align:middle;}.bk-root .slick-pager .slick-pager-status{display:inline-block;padding:6px;}.bk-root .slick-pager .ui-icon-container{display:inline-block;margin:2px;border-color:gray;}.bk-root .slick-pager .slick-pager-nav{display:inline-block;float:left;padding:2px;}.bk-root .slick-pager .slick-pager-settings{display:block;float:right;padding:2px;}.bk-root .slick-pager .slick-pager-settings *{vertical-align:middle;}.bk-root .slick-pager .slick-pager-settings a{padding:2px;text-decoration:underline;cursor:pointer;}.bk-root .slick-header-columns{border-bottom:1px solid silver;background-image:none;}.bk-root .slick-header-column{border-right:1px solid transparent;background-image:none;}.bk-root .slick-header-column:last-of-type{border-right-color:transparent;}.bk-root .slick-header-column:hover,.bk-root .slick-header-column-active{background-color:#F0F8FF;background-image:none;}.bk-root .slick-group-toggle.expanded{background-image:url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");}.bk-root .slick-group-toggle.collapsed{background-image:url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");}.bk-root .slick-group-select-checkbox.checked{background-image:url(\"data:image/png;base64,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\");}.bk-root .slick-group-select-checkbox.unchecked{background-image:url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");}.bk-root .slick-sort-indicator-desc{background-image:url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");}.bk-root .slick-sort-indicator-asc{background-image:url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");}.bk-root .slick-header-menubutton{background-image:url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");}.bk-root .slick-pager{background-image:none;}'},\n",
-       "      512: function _(t,e,s,r,a){var i;r();const n=t(499),{Avg:u,Min:g,Max:o,Sum:c}=n.Data.Aggregators,l=t(53);class _ extends l.Model{constructor(t){super(t)}}s.RowAggregator=_,i=_,_.__name__=\"RowAggregator\",i.define((({String:t})=>({field_:[t,\"\"]})));const m=new u;class h extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=m.init,this.accumulate=m.accumulate,this.storeResult=m.storeResult}}s.AvgAggregator=h,h.__name__=\"AvgAggregator\";const A=new g;class R extends _{constructor(){super(...arguments),this.key=\"min\",this.init=A.init,this.accumulate=A.accumulate,this.storeResult=A.storeResult}}s.MinAggregator=R,R.__name__=\"MinAggregator\";const x=new o;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const M=new c;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=M.init,this.accumulate=M.accumulate,this.storeResult=M.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
-       "      513: function _(e,t,s,o,r){var a,i;o();const l=e(43),n=e(499),u=e(487),g=e(492),c=e(75),p=e(512),h=e(53);function d(e,t,s,o,r){const{collapsed:a,level:i,title:n}=r,u=(0,l.span)({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*i+\"px\"}}),g=(0,l.span)({class:\"slick-group-title\",level:i},n);return`${u.outerHTML}${g.outerHTML}`}function f(e,t){const s=this.getDataItem(t.row);s instanceof n.Group&&e.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),e.stopImmediatePropagation(),e.preventDefault(),this.invalidate(),this.render())}class m extends h.Model{constructor(e){super(e)}get comparer(){return(e,t)=>e.value===t.value?0:e.value>t.value?1:-1}}s.GroupingInfo=m,a=m,m.__name__=\"GroupingInfo\",a.define((({Boolean:e,String:t,Array:s,Ref:o})=>({getter:[t,\"\"],aggregators:[s(o(p.RowAggregator)),[]],collapsed:[e,!1]})));class w extends g.TableDataProvider{constructor(e,t,s,o){super(e,t),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(e){this.groupingInfos=e,this.toggledGroupsByLevel=e.map((()=>({}))),this.refresh()}extractGroups(e,t){const s=[],o=new Map,r=t?t.level+1:0,{comparer:a,getter:i}=this.groupingInfos[r];return e.forEach((e=>{const a=this.source.data[i][e];let l=o.get(a);if(!l){const e=t?`${t.groupingKey}${this.groupingDelimiter}${a}`:`${a}`;l=Object.assign(new n.Group,{value:a,level:r,groupingKey:e}),s.push(l),o.set(a,l)}l.rows.push(e)})),r<this.groupingInfos.length-1&&s.forEach((e=>{e.groups=this.extractGroups(e.rows,e)})),s.sort(a),s}calculateTotals(e,t){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),a=e.rows.map((e=>r.reduce(((t,s)=>Object.assign(Object.assign({},t),{[s]:o[s][e]})),{})));return t.forEach((e=>{e.init(),a.forEach((t=>e.accumulate(t))),e.storeResult(s)})),s}addTotals(e,t=0){const{aggregators:s,collapsed:o}=this.groupingInfos[t],r=this.toggledGroupsByLevel[t];e.forEach((e=>{e.groups&&this.addTotals(e.groups,t+1),s.length&&e.rows.length&&(e.totals=this.calculateTotals(e,s)),e.collapsed=o!==r[e.groupingKey],e.title=e.value?`${e.value}`:\"\"}))}flattenedGroupedRows(e,t=0){const s=[];return e.forEach((e=>{if(s.push(e),!e.collapsed){const o=e.groups?this.flattenedGroupedRows(e.groups,t+1):e.rows;s.push(...o)}})),s}refresh(){const e=this.extractGroups([...this.view.indices]),t=this.source.data[this.columns[0].field];e.length&&(this.addTotals(e),this.rows=this.flattenedGroupedRows(e),this.target.data={row_indices:this.rows.map((e=>e instanceof n.Group?e.rows:e)),labels:this.rows.map((e=>e instanceof n.Group?e.title:t[e]))})}getLength(){return this.rows.length}getItem(e){const t=this.rows[e],{source:{data:s}}=this;return t instanceof n.Group?t:Object.keys(s).reduce(((e,o)=>Object.assign(Object.assign({},e),{[o]:s[o][t]})),{[u.DTINDEX_NAME]:t})}getItemMetadata(e){const t=this.rows[e],s=this.columns.slice(1),o=t instanceof n.Group?this.groupingInfos[t.level].aggregators:[];return t instanceof n.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:d},...s.map((function(e){const{field:t,formatter:s}=e,r=o.find((({field_:e})=>e===t));if(r){const{key:e}=r;return{formatter:(o,r,a,i,l)=>s?s(o,r,l.totals[e][t],i,l):\"\"}}return{}}))]}:{}}collapseGroup(e){const t=e.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[t][e]=!this.groupingInfos[t].collapsed,this.refresh()}expandGroup(e){const t=e.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[t][e]=this.groupingInfos[t].collapsed,this.refresh()}}s.DataCubeProvider=w,w.__name__=\"DataCubeProvider\";class v extends g.DataTableView{render(){const e={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,autosizeColsMode:this.autosize,multiColumnSort:!1,editable:this.model.editable,autoEdit:this.model.auto_edit,rowHeight:this.model.row_height},t=this.model.columns.map((e=>e.toColumn()));var s,o;t[0].formatter=(s=t[0].formatter,o=this.model.grouping.length,(e,t,r,a,i)=>{const n=(0,l.span)({class:\"slick-group-toggle\",style:{\"margin-left\":15*(null!=o?o:0)+\"px\"}}),u=s?s(e,t,r,a,i):`${r}`;return`${n.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete t[0].editor,this.data=new w(this.model.source,this.model.view,t,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=`${this.model.width}px`,this.grid=new n.Grid(this.el,this.data,t,e),this.grid.onClick.subscribe(f)}}s.DataCubeView=v,v.__name__=\"DataCubeView\";class b extends g.DataTable{constructor(e){super(e)}}s.DataCube=b,i=b,b.__name__=\"DataCube\",i.prototype.default_view=v,i.define((({Array:e,Ref:t})=>({grouping:[e(t(m)),[]],target:[t(c.ColumnDataSource)]})))},\n",
-       "      }, 484, {\"models/widgets/tables/main\":484,\"models/widgets/tables/index\":485,\"models/widgets/tables/cell_editors\":486,\"models/widgets/tables/definitions\":487,\"styles/widgets/tables.css\":488,\"models/widgets/tables/cell_formatters\":489,\"models/widgets/tables/data_table\":492,\"models/widgets/widget\":508,\"models/widgets/tables/table_widget\":509,\"models/widgets/tables/table_column\":510,\"styles/widgets/slickgrid.css\":511,\"models/widgets/tables/row_aggregators\":512,\"models/widgets/tables/data_cube\":513}, {});});\n",
-       "\n",
-       "      /* END bokeh-tables.min.js */\n",
-       "    },\n",
-       "    \n",
-       "    function(Bokeh) {\n",
-       "      /* BEGIN bokeh-mathjax.min.js */\n",
-       "      /*!\n",
-       "       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n",
-       "       * All rights reserved.\n",
-       "       * \n",
-       "       * Redistribution and use in source and binary forms, with or without modification,\n",
-       "       * are permitted provided that the following conditions are met:\n",
-       "       * \n",
-       "       * Redistributions of source code must retain the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer.\n",
-       "       * \n",
-       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer in the documentation\n",
-       "       * and/or other materials provided with the distribution.\n",
-       "       * \n",
-       "       * Neither the name of Anaconda nor the names of any contributors\n",
-       "       * may be used to endorse or promote products derived from this software\n",
-       "       * without specific prior written permission.\n",
-       "       * \n",
-       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
-       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
-       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
-       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
-       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
-       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
-       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
-       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
-       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
-       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
-       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
-       "       */\n",
-       "      (function(root, factory) {\n",
-       "        factory(root[\"Bokeh\"], \"2.4.1\");\n",
-       "      })(this, function(Bokeh, version) {\n",
-       "        let define;\n",
-       "        return (function(modules, entry, aliases, externals) {\n",
-       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
-       "          if (bokeh != null) {\n",
-       "            return bokeh.register_plugin(modules, entry, aliases);\n",
-       "          } else {\n",
-       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
-       "          }\n",
-       "        })\n",
-       "      ({\n",
-       "      514: function _(n,c,f,i,o){i(),n(515)},\n",
-       "      515: function _(n,t,e,s,a){s();const c=n(516),o=n(520),r=n(558),i=n(561),u=n(710),p=n(713),m=n(731),d=n(524),f=(0,u.browserAdaptor)();(0,p.RegisterHTMLHandler)(f);const x=new i.SVG({fontCache:\"local\"}),g={display:!0,em:16,ex:8,containerWidth:1280};e.tex2svg=function(n,t,e={}){const s=new o.TeX({packages:m.AllPackages,macros:e});return c.mathjax.document(\"\",{InputJax:s,OutputJax:x}).convert(n,Object.assign(Object.assign({},g),t))},e.ascii2svg=function(n){throw new Error(\"not implemented\")},e.mathml2svg=function(n){const t=new r.MathML({});return c.mathjax.document(\"\",{InputJax:t,OutputJax:x}).convert(n,g)},e.find_tex=function(n){return new d.FindTeX({processEnvironments:!1,processEscapes:!1,processRefs:!1}).findMath([n])}},\n",
-       "      516: function _(e,r,n,t,a){t();var d=e(517),o=e(519);n.mathjax={version:\"3.2.0\",handlers:new d.HandlerList,document:function(e,r){return n.mathjax.handlers.document(e,r)},handleRetriesFor:o.handleRetriesFor,retryAfter:o.retryAfter,asyncLoad:null}},\n",
-       "      517: function _(t,r,n,e,o){var i,u=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&(t[n]=r[n])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}),c=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,n=r&&t[r],e=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return u(r,t),r.prototype.register=function(t){return this.add(t,t.priority)},r.prototype.unregister=function(t){this.remove(t)},r.prototype.handlesDocument=function(t){var r,n;try{for(var e=c(this),o=e.next();!o.done;o=e.next()){var i=o.value.item;if(i.handlesDocument(t))return i}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=e.return)&&n.call(e)}finally{if(r)throw r.error}}throw new Error(\"Can't find handler for document\")},r.prototype.document=function(t,r){return void 0===r&&(r=null),this.handlesDocument(t).create(t,r)},r}(t(518).PrioritizedList);n.HandlerList=l},\n",
-       "      518: function _(t,i,e,r,n){r();var o=function(){function t(){this.items=[],this.items=[]}return t.prototype[Symbol.iterator]=function(){var t=0,i=this.items;return{next:function(){return{value:i[t++],done:t>i.length}}}},t.prototype.add=function(i,e){void 0===e&&(e=t.DEFAULTPRIORITY);var r=this.items.length;do{r--}while(r>=0&&e<this.items[r].priority);return this.items.splice(r+1,0,{item:i,priority:e}),i},t.prototype.remove=function(t){var i=this.items.length;do{i--}while(i>=0&&this.items[i].item!==t);i>=0&&this.items.splice(i,1)},t.DEFAULTPRIORITY=5,t}();e.PrioritizedList=o},\n",
-       "      519: function _(r,t,e,n,a){n(),e.handleRetriesFor=function(r){return new Promise((function t(e,n){try{e(r())}catch(r){r.retry&&r.retry instanceof Promise?r.retry.then((function(){return t(e,n)})).catch((function(r){return n(r)})):r.restart&&r.restart.isCallback?MathJax.Callback.After((function(){return t(e,n)}),r.restart):n(r)}}))},e.retryAfter=function(r){var t=new Error(\"MathJax retry\");throw t.retry=r,t}},\n",
-       "      520: function _(t,e,r,o,n){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},a.apply(this,arguments)},p=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return s};o();var l=t(521),c=t(522),u=t(524),f=t(528),d=t(532),h=t(535),y=t(537),O=t(541),g=t(546),F=t(547);t(549);var m=function(t){function e(r){void 0===r&&(r={});var o=this,n=p(c.separateOptions(r,e.OPTIONS,u.FindTeX.OPTIONS),3),i=n[0],s=n[1],a=n[2];(o=t.call(this,s)||this).findTeX=o.options.FindTeX||new u.FindTeX(a);var l=o.options.packages,d=o.configuration=e.configure(l),h=o._parseOptions=new O.default(d,[o.options,g.TagsFactory.OPTIONS]);return c.userOptions(h.options,i),d.config(o),e.tags(h,d),o.postFilters.add(f.default.cleanSubSup,-6),o.postFilters.add(f.default.setInherited,-5),o.postFilters.add(f.default.moveLimits,-4),o.postFilters.add(f.default.cleanStretchy,-3),o.postFilters.add(f.default.cleanAttributes,-2),o.postFilters.add(f.default.combineRelations,-1),o}return s(e,t),e.configure=function(t){var e=new F.ParserConfiguration(t,[\"tex\"]);return e.init(),e},e.tags=function(t,e){g.TagsFactory.addTags(e.tags),g.TagsFactory.setDefault(t.options.tags),t.tags=g.TagsFactory.getDefault(),t.tags.configuration=t},e.prototype.setMmlFactory=function(e){t.prototype.setMmlFactory.call(this,e),this._parseOptions.nodeFactory.setMmlFactory(e)},Object.defineProperty(e.prototype,\"parseOptions\",{get:function(){return this._parseOptions},enumerable:!1,configurable:!0}),e.prototype.reset=function(t){void 0===t&&(t=0),this.parseOptions.tags.reset(t)},e.prototype.compile=function(t,e){this.parseOptions.clear(),this.executeFilters(this.preFilters,t,e,this.parseOptions);var r,o,n=t.display;this.latex=t.math,this.parseOptions.tags.startEquation(t);try{var i=new h.default(this.latex,{display:n,isInner:!1},this.parseOptions);r=i.mml(),o=i.stack.global}catch(t){if(!(t instanceof y.default))throw t;this.parseOptions.error=!0,r=this.options.formatError(this,t)}return r=this.parseOptions.nodeFactory.create(\"node\",\"math\",[r]),(null==o?void 0:o.indentalign)&&d.default.setAttribute(r,\"indentalign\",o.indentalign),n&&d.default.setAttribute(r,\"display\",\"block\"),this.parseOptions.tags.finishEquation(t),this.parseOptions.root=r,this.executeFilters(this.postFilters,t,e,this.parseOptions),this.mathNode=this.parseOptions.root,this.mathNode},e.prototype.findMath=function(t){return this.findTeX.findMath(t)},e.prototype.formatError=function(t){var e=t.message.replace(/\\n.*/,\"\");return this.parseOptions.nodeFactory.create(\"error\",e,t.id,this.latex)},e.NAME=\"TeX\",e.OPTIONS=a(a({},l.AbstractInputJax.OPTIONS),{FindTeX:null,packages:[\"base\"],digits:/^(?:[0-9]+(?:\\{,\\}[0-9]{3})*(?:\\.[0-9]*)?|\\.[0-9]+)/,maxBuffer:5120,formatError:function(t,e){return t.formatError(e)}}),e}(l.AbstractInputJax);r.TeX=m},\n",
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-       "      525: function _(t,n,i,o,r){o();var s=t(522),u=function(){function t(t){var n=this.constructor;this.options=s.userOptions(s.defaultOptions({},n.OPTIONS),t)}return t.OPTIONS={},t}();i.AbstractFindMath=u},\n",
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-       "      527: function _(t,e,i,o,s){o(),i.protoItem=function(t,e,i,o,s,n,r){return void 0===r&&(r=null),{open:t,math:e,close:i,n:o,start:{n:s},end:{n},display:r}};var n=function(){function t(t,e,o,s,n){void 0===o&&(o=!0),void 0===s&&(s={i:0,n:0,delim:\"\"}),void 0===n&&(n={i:0,n:0,delim:\"\"}),this.root=null,this.typesetRoot=null,this.metrics={},this.inputData={},this.outputData={},this._state=i.STATE.UNPROCESSED,this.math=t,this.inputJax=e,this.display=o,this.start=s,this.end=n,this.root=null,this.typesetRoot=null,this.metrics={},this.inputData={},this.outputData={}}return Object.defineProperty(t.prototype,\"isEscaped\",{get:function(){return null===this.display},enumerable:!1,configurable:!0}),t.prototype.render=function(t){t.renderActions.renderMath(this,t)},t.prototype.rerender=function(t,e){void 0===e&&(e=i.STATE.RERENDER),this.state()>=e&&this.state(e-1),t.renderActions.renderMath(this,t,e)},t.prototype.convert=function(t,e){void 0===e&&(e=i.STATE.LAST),t.renderActions.renderConvert(this,t,e)},t.prototype.compile=function(t){this.state()<i.STATE.COMPILED&&(this.root=this.inputJax.compile(this,t),this.state(i.STATE.COMPILED))},t.prototype.typeset=function(t){this.state()<i.STATE.TYPESET&&(this.typesetRoot=t.outputJax[this.isEscaped?\"escaped\":\"typeset\"](this,t),this.state(i.STATE.TYPESET))},t.prototype.updateDocument=function(t){},t.prototype.removeFromDocument=function(t){void 0===t&&(t=!1)},t.prototype.setMetrics=function(t,e,i,o,s){this.metrics={em:t,ex:e,containerWidth:i,lineWidth:o,scale:s}},t.prototype.state=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),null!=t&&(t<i.STATE.INSERTED&&this._state>=i.STATE.INSERTED&&this.removeFromDocument(e),t<i.STATE.TYPESET&&this._state>=i.STATE.TYPESET&&(this.outputData={}),t<i.STATE.COMPILED&&this._state>=i.STATE.COMPILED&&(this.inputData={}),this._state=t),this._state},t.prototype.reset=function(t){void 0===t&&(t=!1),this.state(i.STATE.UNPROCESSED,t)},t}();i.AbstractMathItem=n,i.STATE={UNPROCESSED:0,FINDMATH:10,COMPILED:20,CONVERT:100,METRICS:110,RERENDER:125,TYPESET:150,INSERTED:200,LAST:1e4},i.newState=function(t,e){if(t in i.STATE)throw Error(\"State \"+t+\" already exists\");i.STATE[t]=e}},\n",
-       "      528: function _(t,e,r,a,n){var i=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],a=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&a>=t.length&&(t=void 0),{value:t&&t[a++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};a();var o,l=t(529),u=t(532);!function(t){t.cleanStretchy=function(t){var e,r,a=t.data;try{for(var n=i(a.getList(\"fixStretchy\")),o=n.next();!o.done;o=n.next()){var l=o.value;if(u.default.getProperty(l,\"fixStretchy\")){var c=u.default.getForm(l);c&&c[3]&&c[3].stretchy&&u.default.setAttribute(l,\"stretchy\",!1);var s=l.parent;if(!(u.default.getTexClass(l)||c&&c[2])){var f=a.nodeFactory.create(\"node\",\"TeXAtom\",[l]);s.replaceChild(f,l),f.inheritAttributesFrom(l)}u.default.removeProperties(l,\"fixStretchy\")}}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}},t.cleanAttributes=function(t){t.data.root.walkTree((function(t,e){var r,a,n=t.attributes;if(n)try{for(var o=i(n.getExplicitNames()),l=o.next();!l.done;l=o.next()){var u=l.value;n.attributes[u]===t.attributes.getInherited(u)&&delete n.attributes[u]}}catch(t){r={error:t}}finally{try{l&&!l.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}}),{})},t.combineRelations=function(t){var a,n,o,c,s=[];try{for(var f=i(t.data.getList(\"mo\")),d=f.next();!d.done;d=f.next()){var y=d.value;if(!y.getProperty(\"relationsCombined\")&&y.parent&&(!y.parent||u.default.isType(y.parent,\"mrow\"))&&u.default.getTexClass(y)===l.TEXCLASS.REL){for(var v=y.parent,p=void 0,h=v.childNodes,m=h.indexOf(y)+1,b=u.default.getProperty(y,\"variantForm\");m<h.length&&(p=h[m])&&u.default.isType(p,\"mo\")&&u.default.getTexClass(p)===l.TEXCLASS.REL;){if(b!==u.default.getProperty(p,\"variantForm\")||!r(y,p)){null==y.attributes.getExplicit(\"rspace\")&&u.default.setAttribute(y,\"rspace\",\"0pt\"),null==p.attributes.getExplicit(\"lspace\")&&u.default.setAttribute(p,\"lspace\",\"0pt\");break}u.default.appendChildren(y,u.default.getChildren(p)),e([\"stretchy\",\"rspace\"],y,p);try{for(var g=(o=void 0,i(p.getPropertyNames())),x=g.next();!x.done;x=g.next()){var E=x.value;y.setProperty(E,p.getProperty(E))}}catch(t){o={error:t}}finally{try{x&&!x.done&&(c=g.return)&&c.call(g)}finally{if(o)throw o.error}}h.splice(m,1),s.push(p),p.parent=null,p.setProperty(\"relationsCombined\",!0)}y.attributes.setInherited(\"form\",y.getForms()[0])}}}catch(t){a={error:t}}finally{try{d&&!d.done&&(n=f.return)&&n.call(f)}finally{if(a)throw a.error}}t.data.removeFromList(\"mo\",s)};var e=function(t,e,r){var a=e.attributes,n=r.attributes;t.forEach((function(t){var e=n.getExplicit(t);null!=e&&a.set(t,e)}))},r=function(t,e){var r,a,n=function(t,e){return t.getExplicitNames().filter((function(r){return r!==e&&(\"stretchy\"!==r||t.getExplicit(\"stretchy\"))}))},o=t.attributes,l=e.attributes,u=n(o,\"lspace\"),c=n(l,\"rspace\");if(u.length!==c.length)return!1;try{for(var s=i(u),f=s.next();!f.done;f=s.next()){var d=f.value;if(o.getExplicit(d)!==l.getExplicit(d))return!1}}catch(t){r={error:t}}finally{try{f&&!f.done&&(a=s.return)&&a.call(s)}finally{if(r)throw r.error}}return!0},a=function(t,e,r){var a,n,o=[];try{for(var l=i(t.getList(\"m\"+e+r)),c=l.next();!c.done;c=l.next()){var s=c.value,f=s.childNodes;if(!f[s[e]]||!f[s[r]]){var d=s.parent,y=f[s[e]]?t.nodeFactory.create(\"node\",\"m\"+e,[f[s.base],f[s[e]]]):t.nodeFactory.create(\"node\",\"m\"+r,[f[s.base],f[s[r]]]);u.default.copyAttributes(s,y),d?d.replaceChild(y,s):t.root=y,o.push(s)}}}catch(t){a={error:t}}finally{try{c&&!c.done&&(n=l.return)&&n.call(l)}finally{if(a)throw a.error}}t.removeFromList(\"m\"+e+r,o)};t.cleanSubSup=function(t){var e=t.data;e.error||(a(e,\"sub\",\"sup\"),a(e,\"under\",\"over\"))};var n=function(t,e,r){var a,n,o=[];try{for(var l=i(t.getList(e)),c=l.next();!c.done;c=l.next()){var s=c.value;if(!s.attributes.get(\"displaystyle\")){var f=s.childNodes[s.base],d=f.coreMO();if(f.getProperty(\"movablelimits\")&&!d.attributes.getExplicit(\"movablelimits\")){var y=t.nodeFactory.create(\"node\",r,s.childNodes);u.default.copyAttributes(s,y),s.parent?s.parent.replaceChild(y,s):t.root=y,o.push(s)}}}}catch(t){a={error:t}}finally{try{c&&!c.done&&(n=l.return)&&n.call(l)}finally{if(a)throw a.error}}t.removeFromList(e,o)};t.moveLimits=function(t){var e=t.data;n(e,\"munderover\",\"msubsup\"),n(e,\"munder\",\"msub\"),n(e,\"mover\",\"msup\")},t.setInherited=function(t){t.data.root.setInheritedAttributes({},t.math.display,0,!1)}}(o||(o={})),r.default=o},\n",
-       "      529: function _(t,e,r,n,i){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},s.apply(this,arguments)},a=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},u=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,i,o=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)l.push(n.value)}catch(t){i={error:t}}finally{try{n&&!n.done&&(r=o.return)&&r.call(o)}finally{if(i)throw i.error}}return l};n();var c=t(530),p=t(531);r.TEXCLASS={ORD:0,OP:1,BIN:2,REL:3,OPEN:4,CLOSE:5,PUNCT:6,INNER:7,VCENTER:8,NONE:-1},r.TEXCLASSNAMES=[\"ORD\",\"OP\",\"BIN\",\"REL\",\"OPEN\",\"CLOSE\",\"PUNCT\",\"INNER\",\"VCENTER\"];var h=[\"\",\"thinmathspace\",\"mediummathspace\",\"thickmathspace\"],f=[[0,-1,2,3,0,0,0,1],[-1,-1,0,3,0,0,0,1],[2,2,0,0,2,0,0,2],[3,3,0,0,3,0,0,3],[0,0,0,0,0,0,0,0],[0,-1,2,3,0,0,0,1],[1,1,0,1,1,1,1,1],[1,-1,2,3,1,0,1,1]];r.indentAttributes=[\"indentalign\",\"indentalignfirst\",\"indentshift\",\"indentshiftfirst\"];var d=function(t){function e(e,r,n){void 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1/0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isInferred\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"Parent\",{get:function(){for(var t=this.parent;t&&t.notParent;)t=t.Parent;return t},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"notParent\",{get:function(){return!1},enumerable:!1,configurable:!0}),e.prototype.setChildren=function(e){return this.arity<0?this.childNodes[0].setChildren(e):t.prototype.setChildren.call(this,e)},e.prototype.appendChild=function(e){var r,n,i=this;if(this.arity<0)return this.childNodes[0].appendChild(e),e;if(e.isInferred){if(this.arity===1/0)return e.childNodes.forEach((function(e){return t.prototype.appendChild.call(i,e)})),e;var o=e;(e=this.factory.create(\"mrow\")).setChildren(o.childNodes),e.attributes=o.attributes;try{for(var l=a(o.getPropertyNames()),s=l.next();!s.done;s=l.next()){var u=s.value;e.setProperty(u,o.getProperty(u))}}catch(t){r={error:t}}finally{try{s&&!s.done&&(n=l.return)&&n.call(l)}finally{if(r)throw r.error}}}return t.prototype.appendChild.call(this,e)},e.prototype.replaceChild=function(e,r){return this.arity<0?(this.childNodes[0].replaceChild(e,r),e):t.prototype.replaceChild.call(this,e,r)},e.prototype.core=function(){return this},e.prototype.coreMO=function(){return this},e.prototype.coreIndex=function(){return 0},e.prototype.childPosition=function(){for(var t,e,r=this,n=r.parent;n&&n.notParent;)r=n,n=n.parent;if(n){var i=0;try{for(var o=a(n.childNodes),l=o.next();!l.done;l=o.next()){if(l.value===r)return i;i++}}catch(e){t={error:e}}finally{try{l&&!l.done&&(e=o.return)&&e.call(o)}finally{if(t)throw t.error}}}return null},e.prototype.setTeXclass=function(t){return this.getPrevClass(t),null!=this.texClass?this:t},e.prototype.updateTeXclass=function(t){t&&(this.prevClass=t.prevClass,this.prevLevel=t.prevLevel,t.prevClass=t.prevLevel=null,this.texClass=t.texClass)},e.prototype.getPrevClass=function(t){t&&(this.prevClass=t.texClass,this.prevLevel=t.attributes.get(\"scriptlevel\"))},e.prototype.texSpacing=function(){var t=null!=this.prevClass?this.prevClass:r.TEXCLASS.NONE,e=this.texClass||r.TEXCLASS.ORD;if(t===r.TEXCLASS.NONE||e===r.TEXCLASS.NONE)return\"\";t===r.TEXCLASS.VCENTER&&(t=r.TEXCLASS.ORD),e===r.TEXCLASS.VCENTER&&(e=r.TEXCLASS.ORD);var n=f[t][e];return(this.prevLevel>0||this.attributes.get(\"scriptlevel\")>0)&&n>=0?\"\":h[Math.abs(n)]},e.prototype.hasSpacingAttributes=function(){return this.isEmbellished&&this.coreMO().hasSpacingAttributes()},e.prototype.setInheritedAttributes=function(t,r,n,i){var o,l;void 0===t&&(t={}),void 0===r&&(r=!1),void 0===n&&(n=0),void 0===i&&(i=!1);var s=this.attributes.getAllDefaults();try{for(var c=a(Object.keys(t)),p=c.next();!p.done;p=c.next()){var h=p.value;if(s.hasOwnProperty(h)||e.alwaysInherit.hasOwnProperty(h)){var f=u(t[h],2),d=f[0],y=f[1];((e.noInherit[d]||{})[this.kind]||{})[h]||this.attributes.setInherited(h,y)}}}catch(t){o={error:t}}finally{try{p&&!p.done&&(l=c.return)&&l.call(c)}finally{if(o)throw o.error}}void 0===this.attributes.getExplicit(\"displaystyle\")&&this.attributes.setInherited(\"displaystyle\",r),void 0===this.attributes.getExplicit(\"scriptlevel\")&&this.attributes.setInherited(\"scriptlevel\",n),i&&this.setProperty(\"texprimestyle\",i);var b=this.arity;if(b>=0&&b!==1/0&&(1===b&&0===this.childNodes.length||1!==b&&this.childNodes.length!==b))if(b<this.childNodes.length)this.childNodes=this.childNodes.slice(0,b);else for(;this.childNodes.length<b;)this.appendChild(this.factory.create(\"mrow\"));this.setChildInheritedAttributes(t,r,n,i)},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o;try{for(var l=a(this.childNodes),s=l.next();!s.done;s=l.next()){s.value.setInheritedAttributes(t,e,r,n)}}catch(t){i={error:t}}finally{try{s&&!s.done&&(o=l.return)&&o.call(l)}finally{if(i)throw i.error}}},e.prototype.addInheritedAttributes=function(t,e){var r,n,i=s({},t);try{for(var o=a(Object.keys(e)),l=o.next();!l.done;l=o.next()){var u=l.value;\"displaystyle\"!==u&&\"scriptlevel\"!==u&&\"style\"!==u&&(i[u]=[this.kind,e[u]])}}catch(t){r={error:t}}finally{try{l&&!l.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}return i},e.prototype.inheritAttributesFrom=function(t){var e=t.attributes,r=e.get(\"displaystyle\"),n=e.get(\"scriptlevel\"),i=e.isSet(\"mathsize\")?{mathsize:[\"math\",e.get(\"mathsize\")]}:{},o=t.getProperty(\"texprimestyle\")||!1;this.setInheritedAttributes(i,r,n,o)},e.prototype.verifyTree=function(t){if(void 0===t&&(t=null),null!==t){this.verifyAttributes(t);var e=this.arity;t.checkArity&&e>=0&&e!==1/0&&(1===e&&0===this.childNodes.length||1!==e&&this.childNodes.length!==e)&&this.mError('Wrong number of children for \"'+this.kind+'\" node',t,!0),this.verifyChildren(t)}},e.prototype.verifyAttributes=function(t){var e,r;if(t.checkAttributes){var n=this.attributes,i=[];try{for(var o=a(n.getExplicitNames()),l=o.next();!l.done;l=o.next()){var s=l.value;\"data-\"===s.substr(0,5)||void 0!==n.getDefault(s)||s.match(/^(?:class|style|id|(?:xlink:)?href)$/)||i.push(s)}}catch(t){e={error:t}}finally{try{l&&!l.done&&(r=o.return)&&r.call(o)}finally{if(e)throw e.error}}i.length&&this.mError(\"Unknown attributes for \"+this.kind+\" node: \"+i.join(\", \"),t)}},e.prototype.verifyChildren=function(t){var e,r;try{for(var n=a(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.verifyTree(t)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}},e.prototype.mError=function(t,e,r){if(void 0===r&&(r=!1),this.parent&&this.parent.isKind(\"merror\"))return null;var n=this.factory.create(\"merror\");if(e.fullErrors||r){var i=this.factory.create(\"mtext\"),o=this.factory.create(\"text\");o.setText(e.fullErrors?t:this.kind),i.appendChild(o),n.appendChild(i),this.parent.replaceChild(n,this)}else this.parent.replaceChild(n,this),n.appendChild(this);return n},e.defaults={mathbackground:c.INHERIT,mathcolor:c.INHERIT,mathsize:c.INHERIT,dir:c.INHERIT},e.noInherit={mstyle:{mpadded:{width:!0,height:!0,depth:!0,lspace:!0,voffset:!0},mtable:{width:!0,height:!0,depth:!0,align:!0}},maligngroup:{mrow:{groupalign:!0},mtable:{groupalign:!0}}},e.alwaysInherit={scriptminsize:!0,scriptsizemultiplier:!0},e.verifyDefaults={checkArity:!0,checkAttributes:!1,fullErrors:!1,fixMmultiscripts:!0,fixMtables:!0},e}(p.AbstractNode);r.AbstractMmlNode=d;var y=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"isToken\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.getText=function(){var t,e,r=\"\";try{for(var n=a(this.childNodes),i=n.next();!i.done;i=n.next()){var o=i.value;o instanceof m&&(r+=o.getText())}}catch(e){t={error:e}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}return r},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o;try{for(var l=a(this.childNodes),s=l.next();!s.done;s=l.next()){var u=s.value;u instanceof d&&u.setInheritedAttributes(t,e,r,n)}}catch(t){i={error:t}}finally{try{s&&!s.done&&(o=l.return)&&o.call(l)}finally{if(i)throw i.error}}},e.prototype.walkTree=function(t,e){var r,n;t(this,e);try{for(var i=a(this.childNodes),o=i.next();!o.done;o=i.next()){var l=o.value;l instanceof d&&l.walkTree(t,e)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}return e},e.defaults=s(s({},d.defaults),{mathvariant:\"normal\",mathsize:c.INHERIT}),e}(d);r.AbstractMmlTokenNode=y;var b=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return this.childNodes[0].isSpacelike},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.childNodes[0].isEmbellished},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.childNodes[0]},e.prototype.coreMO=function(){return this.childNodes[0].coreMO()},e.prototype.setTeXclass=function(t){return t=this.childNodes[0].setTeXclass(t),this.updateTeXclass(this.childNodes[0]),t},e.defaults=d.defaults,e}(d);r.AbstractMmlLayoutNode=b;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.childNodes[0].isEmbellished},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.childNodes[0]},e.prototype.coreMO=function(){return this.childNodes[0].coreMO()},e.prototype.setTeXclass=function(t){var e,n;this.getPrevClass(t),this.texClass=r.TEXCLASS.ORD;var i=this.childNodes[0];i?this.isEmbellished||i.isKind(\"mi\")?(t=i.setTeXclass(t),this.updateTeXclass(this.core())):(i.setTeXclass(null),t=this):t=this;try{for(var o=a(this.childNodes.slice(1)),l=o.next();!l.done;l=o.next()){var s=l.value;s&&s.setTeXclass(null)}}catch(t){e={error:t}}finally{try{l&&!l.done&&(n=o.return)&&n.call(o)}finally{if(e)throw e.error}}return t},e.defaults=d.defaults,e}(d);r.AbstractMmlBaseNode=v;var g=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"isToken\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"hasNewLine\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isInferred\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"notParent\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"Parent\",{get:function(){return this.parent},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"texClass\",{get:function(){return r.TEXCLASS.NONE},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"prevClass\",{get:function(){return r.TEXCLASS.NONE},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"prevLevel\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.hasSpacingAttributes=function(){return!1},Object.defineProperty(e.prototype,\"attributes\",{get:function(){return null},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this},e.prototype.coreMO=function(){return this},e.prototype.coreIndex=function(){return 0},e.prototype.childPosition=function(){return 0},e.prototype.setTeXclass=function(t){return t},e.prototype.texSpacing=function(){return\"\"},e.prototype.setInheritedAttributes=function(t,e,r,n){},e.prototype.inheritAttributesFrom=function(t){},e.prototype.verifyTree=function(t){},e.prototype.mError=function(t,e,r){void 0===r&&(r=!1)},e}(p.AbstractEmptyNode);r.AbstractMmlEmptyNode=g;var m=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.text=\"\",e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"text\"},enumerable:!1,configurable:!0}),e.prototype.getText=function(){return this.text},e.prototype.setText=function(t){return this.text=t,this},e.prototype.copy=function(){return this.factory.create(this.kind).setText(this.getText())},e.prototype.toString=function(){return this.text},e}(g);r.TextNode=m;var N=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.xml=null,e.adaptor=null,e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"XML\"},enumerable:!1,configurable:!0}),e.prototype.getXML=function(){return this.xml},e.prototype.setXML=function(t,e){return void 0===e&&(e=null),this.xml=t,this.adaptor=e,this},e.prototype.getSerializedXML=function(){return this.adaptor.serializeXML(this.xml)},e.prototype.copy=function(){return this.factory.create(this.kind).setXML(this.adaptor.clone(this.xml))},e.prototype.toString=function(){return\"XML data\"},e}(g);r.XMLNode=N},\n",
-       "      530: function _(t,e,r,i,n){var o=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],i=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&i>=t.length&&(t=void 0),{value:t&&t[i++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i(),r.INHERIT=\"_inherit_\";var s=function(){function t(t,e){this.global=e,this.defaults=Object.create(e),this.inherited=Object.create(this.defaults),this.attributes=Object.create(this.inherited),Object.assign(this.defaults,t)}return t.prototype.set=function(t,e){this.attributes[t]=e},t.prototype.setList=function(t){Object.assign(this.attributes,t)},t.prototype.get=function(t){var e=this.attributes[t];return e===r.INHERIT&&(e=this.global[t]),e},t.prototype.getExplicit=function(t){if(this.attributes.hasOwnProperty(t))return this.attributes[t]},t.prototype.getList=function(){for(var t,e,r=[],i=0;i<arguments.length;i++)r[i]=arguments[i];var n={};try{for(var s=o(r),u=s.next();!u.done;u=s.next()){var a=u.value;n[a]=this.get(a)}}catch(e){t={error:e}}finally{try{u&&!u.done&&(e=s.return)&&e.call(s)}finally{if(t)throw t.error}}return n},t.prototype.setInherited=function(t,e){this.inherited[t]=e},t.prototype.getInherited=function(t){return this.inherited[t]},t.prototype.getDefault=function(t){return this.defaults[t]},t.prototype.isSet=function(t){return this.attributes.hasOwnProperty(t)||this.inherited.hasOwnProperty(t)},t.prototype.hasDefault=function(t){return t in this.defaults},t.prototype.getExplicitNames=function(){return Object.keys(this.attributes)},t.prototype.getInheritedNames=function(){return Object.keys(this.inherited)},t.prototype.getDefaultNames=function(){return Object.keys(this.defaults)},t.prototype.getGlobalNames=function(){return Object.keys(this.global)},t.prototype.getAllAttributes=function(){return this.attributes},t.prototype.getAllInherited=function(){return this.inherited},t.prototype.getAllDefaults=function(){return this.defaults},t.prototype.getAllGlobals=function(){return this.global},t}();r.Attributes=s},\n",
-       "      531: function _(t,r,e,n,o){var i,p=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var r,e=1,n=arguments.length;e<n;e++)for(var o in r=arguments[e])Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o]);return t},l.apply(this,arguments)},c=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],n=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var s=function(){function t(t,r,e){var n,o;void 0===r&&(r={}),void 0===e&&(e=[]),this.factory=t,this.parent=null,this.properties={},this.childNodes=[];try{for(var i=c(Object.keys(r)),p=i.next();!p.done;p=i.next()){var l=p.value;this.setProperty(l,r[l])}}catch(t){n={error:t}}finally{try{p&&!p.done&&(o=i.return)&&o.call(i)}finally{if(n)throw n.error}}e.length&&this.setChildren(e)}return Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"unknown\"},enumerable:!1,configurable:!0}),t.prototype.setProperty=function(t,r){this.properties[t]=r},t.prototype.getProperty=function(t){return this.properties[t]},t.prototype.getPropertyNames=function(){return Object.keys(this.properties)},t.prototype.getAllProperties=function(){return this.properties},t.prototype.removeProperty=function(){for(var t,r,e=[],n=0;n<arguments.length;n++)e[n]=arguments[n];try{for(var o=c(e),i=o.next();!i.done;i=o.next()){var p=i.value;delete this.properties[p]}}catch(r){t={error:r}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(t)throw t.error}}},t.prototype.isKind=function(t){return this.factory.nodeIsKind(this,t)},t.prototype.setChildren=function(t){var r,e;this.childNodes=[];try{for(var n=c(t),o=n.next();!o.done;o=n.next()){var i=o.value;this.appendChild(i)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(e=n.return)&&e.call(n)}finally{if(r)throw r.error}}},t.prototype.appendChild=function(t){return this.childNodes.push(t),t.parent=this,t},t.prototype.replaceChild=function(t,r){var e=this.childIndex(r);return null!==e&&(this.childNodes[e]=t,t.parent=this),t},t.prototype.childIndex=function(t){var r=this.childNodes.indexOf(t);return-1===r?null:r},t.prototype.copy=function(){var t,r,e=this.factory.create(this.kind);e.properties=l({},this.properties);try{for(var n=c(this.childNodes||[]),o=n.next();!o.done;o=n.next()){var i=o.value;i&&e.appendChild(i.copy())}}catch(r){t={error:r}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(t)throw t.error}}return e},t.prototype.findNodes=function(t){var r=[];return this.walkTree((function(e){e.isKind(t)&&r.push(e)})),r},t.prototype.walkTree=function(t,r){var e,n;t(this,r);try{for(var o=c(this.childNodes),i=o.next();!i.done;i=o.next()){var p=i.value;p&&p.walkTree(t,r)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(n=o.return)&&n.call(o)}finally{if(e)throw e.error}}return r},t.prototype.toString=function(){return this.kind+\"(\"+this.childNodes.join(\",\")+\")\"},t}();e.AbstractNode=s;var u=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return p(r,t),r.prototype.setChildren=function(t){},r.prototype.appendChild=function(t){return t},r.prototype.replaceChild=function(t,r){return r},r.prototype.childIndex=function(t){return null},r.prototype.walkTree=function(t,r){return t(this,r),r},r.prototype.toString=function(){return this.kind},r}(s);e.AbstractEmptyNode=u},\n",
-       "      532: function _(t,e,r,n,o){var i=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)l.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return l},a=this&&this.__spreadArray||function(t,e){for(var r=0,n=e.length,o=t.length;r<n;r++,o++)t[o]=e[r];return t};n();var u,s=t(529),f=t(533);!function(t){var e=new Map([[\"autoOP\",!0],[\"fnOP\",!0],[\"movesupsub\",!0],[\"subsupOK\",!0],[\"texprimestyle\",!0],[\"useHeight\",!0],[\"variantForm\",!0],[\"withDelims\",!0],[\"mathaccent\",!0],[\"open\",!0],[\"close\",!0]]);function r(t,r){var n,o;try{for(var l=i(Object.keys(r)),a=l.next();!a.done;a=l.next()){var u=a.value,s=r[u];\"texClass\"===u?(t.texClass=s,t.setProperty(u,s)):\"movablelimits\"===u?(t.setProperty(\"movablelimits\",s),(t.isKind(\"mo\")||t.isKind(\"mstyle\"))&&t.attributes.set(\"movablelimits\",s)):\"inferred\"===u||(e.has(u)?t.setProperty(u,s):t.attributes.set(u,s))}}catch(t){n={error:t}}finally{try{a&&!a.done&&(o=l.return)&&o.call(l)}finally{if(n)throw n.error}}}function n(t,e,r){t.childNodes[e]=r,r&&(r.parent=t)}function o(t,e){return t.isKind(e)}t.createEntity=function(t){return String.fromCodePoint(parseInt(t,16))},t.getChildren=function(t){return t.childNodes},t.getText=function(t){return t.getText()},t.appendChildren=function(t,e){var r,n;try{for(var o=i(e),l=o.next();!l.done;l=o.next()){var a=l.value;t.appendChild(a)}}catch(t){r={error:t}}finally{try{l&&!l.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}},t.setAttribute=function(t,e,r){t.attributes.set(e,r)},t.setProperty=function(t,e,r){t.setProperty(e,r)},t.setProperties=r,t.getProperty=function(t,e){return t.getProperty(e)},t.getAttribute=function(t,e){return t.attributes.get(e)},t.removeProperties=function(t){for(var e=[],r=1;r<arguments.length;r++)e[r-1]=arguments[r];t.removeProperty.apply(t,a([],l(e)))},t.getChildAt=function(t,e){return t.childNodes[e]},t.setChild=n,t.copyChildren=function(t,e){for(var r=t.childNodes,o=0;o<r.length;o++)n(e,o,r[o])},t.copyAttributes=function(t,e){e.attributes=t.attributes,r(e,t.getAllProperties())},t.isType=o,t.isEmbellished=function(t){return t.isEmbellished},t.getTexClass=function(t){return t.texClass},t.getCoreMO=function(t){return t.coreMO()},t.isNode=function(t){return t instanceof s.AbstractMmlNode||t instanceof s.AbstractMmlEmptyNode},t.isInferred=function(t){return t.isInferred},t.getForm=function(t){var e,r;if(!o(t,\"mo\"))return null;var n=t,l=n.getForms();try{for(var a=i(l),u=a.next();!u.done;u=a.next()){var s=u.value,c=f.MmlMo.OPTABLE[s][n.getText()];if(c)return c}}catch(t){e={error:t}}finally{try{u&&!u.done&&(r=a.return)&&r.call(a)}finally{if(e)throw e.error}}return null}}(u||(u={})),r.default=u},\n",
-       "      533: function _(t,e,r,i,s){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var s in e=arguments[r])Object.prototype.hasOwnProperty.call(e,s)&&(t[s]=e[s]);return t},a.apply(this,arguments)},c=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,s,n=r.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(i=n.next()).done;)o.push(i.value)}catch(t){s={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(s)throw s.error}}return o},h=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],i=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&i>=t.length&&(t=void 0),{value:t&&t[i++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i();var l=t(529),u=t(534),p=t(526),f=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e._texClass=null,e.lspace=5/18,e.rspace=5/18,e}return o(e,t),Object.defineProperty(e.prototype,\"texClass\",{get:function(){if(null===this._texClass){var t=this.getText(),e=c(this.handleExplicitForm(this.getForms()),3),r=e[0],i=e[1],s=e[2],n=this.constructor.OPTABLE,o=n[r][t]||n[i][t]||n[s][t];return o?o[2]:l.TEXCLASS.REL}return this._texClass},set:function(t){this._texClass=t},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mo\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"hasNewLine\",{get:function(){return\"newline\"===this.attributes.get(\"linebreak\")},enumerable:!1,configurable:!0}),e.prototype.coreParent=function(){for(var t=this,e=this,r=this.factory.getNodeClass(\"math\");e&&e.isEmbellished&&e.coreMO()===this&&!(e instanceof r);)t=e,e=e.parent;return t},e.prototype.coreText=function(t){if(!t)return\"\";if(t.isEmbellished)return t.coreMO().getText();for(;((t.isKind(\"mrow\")||t.isKind(\"TeXAtom\")||t.isKind(\"mstyle\")||t.isKind(\"mphantom\"))&&1===t.childNodes.length||t.isKind(\"munderover\"))&&t.childNodes[0];)t=t.childNodes[0];return t.isToken?t.getText():\"\"},e.prototype.hasSpacingAttributes=function(){return this.attributes.isSet(\"lspace\")||this.attributes.isSet(\"rspace\")},Object.defineProperty(e.prototype,\"isAccent\",{get:function(){var t=!1,e=this.coreParent().parent;if(e){var r=e.isKind(\"mover\")?e.childNodes[e.over].coreMO()?\"accent\":\"\":e.isKind(\"munder\")?e.childNodes[e.under].coreMO()?\"accentunder\":\"\":e.isKind(\"munderover\")?this===e.childNodes[e.over].coreMO()?\"accent\":this===e.childNodes[e.under].coreMO()?\"accentunder\":\"\":\"\";if(r)t=void 0!==e.attributes.getExplicit(r)?t:this.attributes.get(\"accent\")}return t},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){var e=this.attributes.getList(\"form\",\"fence\"),r=e.form,i=e.fence;return void 0===this.getProperty(\"texClass\")&&(this.attributes.isSet(\"lspace\")||this.attributes.isSet(\"rspace\"))?null:(i&&this.texClass===l.TEXCLASS.REL&&(\"prefix\"===r&&(this.texClass=l.TEXCLASS.OPEN),\"postfix\"===r&&(this.texClass=l.TEXCLASS.CLOSE)),this.adjustTeXclass(t))},e.prototype.adjustTeXclass=function(t){var e=this.texClass,r=this.prevClass;if(e===l.TEXCLASS.NONE)return t;if(t?(!t.getProperty(\"autoOP\")||e!==l.TEXCLASS.BIN&&e!==l.TEXCLASS.REL||(r=t.texClass=l.TEXCLASS.ORD),r=this.prevClass=t.texClass||l.TEXCLASS.ORD,this.prevLevel=this.attributes.getInherited(\"scriptlevel\")):r=this.prevClass=l.TEXCLASS.NONE,e!==l.TEXCLASS.BIN||r!==l.TEXCLASS.NONE&&r!==l.TEXCLASS.BIN&&r!==l.TEXCLASS.OP&&r!==l.TEXCLASS.REL&&r!==l.TEXCLASS.OPEN&&r!==l.TEXCLASS.PUNCT)if(r!==l.TEXCLASS.BIN||e!==l.TEXCLASS.REL&&e!==l.TEXCLASS.CLOSE&&e!==l.TEXCLASS.PUNCT){if(e===l.TEXCLASS.BIN){for(var i=this,s=this.parent;s&&s.parent&&s.isEmbellished&&(1===s.childNodes.length||!s.isKind(\"mrow\")&&s.core()===i);)i=s,s=s.parent;s.childNodes[s.childNodes.length-1]===i&&(this.texClass=l.TEXCLASS.ORD)}}else t.texClass=this.prevClass=l.TEXCLASS.ORD;else this.texClass=l.TEXCLASS.ORD;return this},e.prototype.setInheritedAttributes=function(e,r,i,s){void 0===e&&(e={}),void 0===r&&(r=!1),void 0===i&&(i=0),void 0===s&&(s=!1),t.prototype.setInheritedAttributes.call(this,e,r,i,s);var n=this.getText();this.checkOperatorTable(n),this.checkPseudoScripts(n),this.checkPrimes(n),this.checkMathAccent(n)},e.prototype.checkOperatorTable=function(t){var e,r,i=c(this.handleExplicitForm(this.getForms()),3),s=i[0],n=i[1],o=i[2];this.attributes.setInherited(\"form\",s);var a=this.constructor.OPTABLE,l=a[s][t]||a[n][t]||a[o][t];if(l){void 0===this.getProperty(\"texClass\")&&(this.texClass=l[2]);try{for(var p=h(Object.keys(l[3]||{})),f=p.next();!f.done;f=p.next()){var d=f.value;this.attributes.setInherited(d,l[3][d])}}catch(t){e={error:t}}finally{try{f&&!f.done&&(r=p.return)&&r.call(p)}finally{if(e)throw e.error}}this.lspace=(l[0]+1)/18,this.rspace=(l[1]+1)/18}else{var S=u.getRange(t);if(S){void 0===this.getProperty(\"texClass\")&&(this.texClass=S[2]);var m=this.constructor.MMLSPACING[S[2]];this.lspace=(m[0]+1)/18,this.rspace=(m[1]+1)/18}}},e.prototype.getForms=function(){for(var t=this,e=this.parent,r=this.Parent;r&&r.isEmbellished;)t=e,e=r.parent,r=r.Parent;if(e&&e.isKind(\"mrow\")&&1!==e.nonSpaceLength()){if(e.firstNonSpace()===t)return[\"prefix\",\"infix\",\"postfix\"];if(e.lastNonSpace()===t)return[\"postfix\",\"infix\",\"prefix\"]}return[\"infix\",\"prefix\",\"postfix\"]},e.prototype.handleExplicitForm=function(t){if(this.attributes.isSet(\"form\")){var e=this.attributes.get(\"form\");t=[e].concat(t.filter((function(t){return t!==e})))}return t},e.prototype.checkPseudoScripts=function(t){var e=this.constructor.pseudoScripts;if(t.match(e)){var r=this.coreParent().Parent,i=!r||!(r.isKind(\"msubsup\")&&!r.isKind(\"msub\"));this.setProperty(\"pseudoscript\",i),i&&(this.attributes.setInherited(\"lspace\",0),this.attributes.setInherited(\"rspace\",0))}},e.prototype.checkPrimes=function(t){var e=this.constructor.primes;if(t.match(e)){var r=this.constructor.remapPrimes,i=p.unicodeString(p.unicodeChars(t).map((function(t){return r[t]})));this.setProperty(\"primes\",i)}},e.prototype.checkMathAccent=function(t){var e=this.Parent;if(void 0===this.getProperty(\"mathaccent\")&&e&&e.isKind(\"munderover\")){var r=e.childNodes[0];if(!r.isEmbellished||r.coreMO()!==this){var i=this.constructor.mathaccents;t.match(i)&&this.setProperty(\"mathaccent\",!0)}}},e.defaults=a(a({},l.AbstractMmlTokenNode.defaults),{form:\"infix\",fence:!1,separator:!1,lspace:\"thickmathspace\",rspace:\"thickmathspace\",stretchy:!1,symmetric:!1,maxsize:\"infinity\",minsize:\"0em\",largeop:!1,movablelimits:!1,accent:!1,linebreak:\"auto\",lineleading:\"1ex\",linebreakstyle:\"before\",indentalign:\"auto\",indentshift:\"0\",indenttarget:\"\",indentalignfirst:\"indentalign\",indentshiftfirst:\"indentshift\",indentalignlast:\"indentalign\",indentshiftlast:\"indentshift\"}),e.MMLSPACING=u.MMLSPACING,e.OPTABLE=u.OPTABLE,e.pseudoScripts=new RegExp([\"^[\\\"'*`\",\"\\xaa\",\"\\xb0\",\"\\xb2-\\xb4\",\"\\xb9\",\"\\xba\",\"\\u2018-\\u201f\",\"\\u2032-\\u2037\\u2057\",\"\\u2070\\u2071\",\"\\u2074-\\u207f\",\"\\u2080-\\u208e\",\"]+$\"].join(\"\")),e.primes=new RegExp([\"^[\\\"'`\",\"\\u2018-\\u201f\",\"]+$\"].join(\"\")),e.remapPrimes={34:8243,39:8242,96:8245,8216:8245,8217:8242,8218:8242,8219:8245,8220:8246,8221:8243,8222:8243,8223:8246},e.mathaccents=new RegExp([\"^[\",\"\\xb4\\u0301\\u02ca\",\"`\\u0300\\u02cb\",\"\\xa8\\u0308\",\"~\\u0303\\u02dc\",\"\\xaf\\u0304\\u02c9\",\"\\u02d8\\u0306\",\"\\u02c7\\u030c\",\"^\\u0302\\u02c6\",\"\\u2192\\u20d7\",\"\\u02d9\\u0307\",\"\\u02da\\u030a\",\"\\u20db\",\"\\u20dc\",\"]$\"].join(\"\")),e}(l.AbstractMmlTokenNode);r.MmlMo=f},\n",
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this.configuration.handlers.get(t).parse(r)},t.prototype.lookup=function(t,r){return this.configuration.handlers.get(t).lookup(r)},t.prototype.contains=function(t,r){return this.configuration.handlers.get(t).contains(r)},t.prototype.toString=function(){var t,r,e=\"\";try{for(var i=o(Array.from(this.configuration.handlers.keys())),n=i.next();!n.done;n=i.next()){var s=n.value;e+=s+\": \"+this.configuration.handlers.get(s)+\"\\n\"}}catch(r){t={error:r}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}return e},t.prototype.Parse=function(){for(var t;this.i<this.string.length;)t=this.getCodePoint(),this.i+=t.length,this.parse(\"character\",[this,t])},t.prototype.Push=function(t){t instanceof l.AbstractMmlNode&&t.isInferred?this.PushAll(t.childNodes):this.stack.Push(t)},t.prototype.PushAll=function(t){var r,e;try{for(var i=o(t),n=i.next();!n.done;n=i.next()){var s=n.value;this.stack.Push(s)}}catch(t){r={error:t}}finally{try{n&&!n.done&&(e=i.return)&&e.call(i)}finally{if(r)throw r.error}}},t.prototype.mml=function(){if(!this.stack.Top().isKind(\"mml\"))return null;var t=this.stack.Top().First;return this.configuration.popParser(),t},t.prototype.convertDelimiter=function(t){var r=this.lookup(\"delimiter\",t);return r?r.char:null},t.prototype.getCodePoint=function(){var t=this.string.codePointAt(this.i);return void 0===t?\"\":String.fromCodePoint(t)},t.prototype.nextIsSpace=function(){return!!this.string.charAt(this.i).match(/\\s/)},t.prototype.GetNext=function(){for(;this.nextIsSpace();)this.i++;return this.getCodePoint()},t.prototype.GetCS=function(){var t=this.string.slice(this.i).match(/^(([a-z]+) ?|[\\uD800-\\uDBFF].|.)/i);return t?(this.i+=t[0].length,t[2]||t[1]):(this.i++,\" \")},t.prototype.GetArgument=function(t,r){switch(this.GetNext()){case\"\":if(!r)throw new c.default(\"MissingArgFor\",\"Missing argument for 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%1\",this.currentCS)},t.prototype.GetDelimiter=function(t,r){var e=this.GetNext();if(this.i+=e.length,this.i<=this.string.length&&(\"\\\\\"===e?e+=this.GetCS():\"{\"===e&&r&&(this.i--,e=this.GetArgument(t).trim()),this.contains(\"delimiter\",e)))return this.convertDelimiter(e);throw new c.default(\"MissingOrUnrecognizedDelim\",\"Missing or unrecognized delimiter for %1\",this.currentCS)},t.prototype.GetDimen=function(t){if(\"{\"===this.GetNext()){var r=this.GetArgument(t),e=s(h.default.matchDimen(r),2),i=e[0],n=e[1];if(i)return i+n}else{r=this.string.slice(this.i);var o=s(h.default.matchDimen(r,!0),3),a=(i=o[0],n=o[1],o[2]);if(i)return this.i+=a,i+n}throw new c.default(\"MissingDimOrUnits\",\"Missing dimension or its units for %1\",this.currentCS)},t.prototype.GetUpTo=function(t,r){for(;this.nextIsSpace();)this.i++;for(var e=this.i,i=0;this.i<this.string.length;){var n=this.i,o=this.GetNext();switch(this.i+=o.length,o){case\"\\\\\":o+=this.GetCS();break;case\"{\":i++;break;case\"}\":if(0===i)throw new c.default(\"ExtraCloseLooking\",\"Extra close brace while looking for %1\",r);i--}if(0===i&&o===r)return this.string.slice(e,n)}throw new c.default(\"TokenNotFoundForCommand\",\"Could not find %1 for %2\",r,this.currentCS)},t.prototype.ParseArg=function(r){return new t(this.GetArgument(r),this.stack.env,this.configuration).mml()},t.prototype.ParseUpTo=function(r,e){return new t(this.GetUpTo(r,e),this.stack.env,this.configuration).mml()},t.prototype.GetDelimiterArg=function(t){var r=h.default.trimSpaces(this.GetArgument(t));if(\"\"===r)return null;if(this.contains(\"delimiter\",r))return r;throw new c.default(\"MissingOrUnrecognizedDelim\",\"Missing or unrecognized delimiter for %1\",this.currentCS)},t.prototype.GetStar=function(){var t=\"*\"===this.GetNext();return t&&this.i++,t},t.prototype.create=function(t){for(var r,e=[],i=1;i<arguments.length;i++)e[i-1]=arguments[i];return(r=this.configuration.nodeFactory).create.apply(r,a([t],s(e)))},t}();e.default=f},\n",
-       "      536: function _(e,t,r,n,a){var i=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var n,a,i=r.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(n=i.next()).done;)o.push(n.value)}catch(e){a={error:e}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(a)throw a.error}}return o},o=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var l,u=e(529),c=e(532),s=e(535),f=e(537),d=e(538);!function(e){var t=7.2,r={em:function(e){return e},ex:function(e){return.43*e},pt:function(e){return e/10},pc:function(e){return 1.2*e},px:function(e){return e*t/72},in:function(e){return e*t},cm:function(e){return e*t/2.54},mm:function(e){return 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0===i&&(i=\"\");var o,l=e.nodeFactory,f=l.create(\"node\",\"mrow\",[],{open:t,close:n,texClass:u.TEXCLASS.INNER});if(a)o=new s.default(\"\\\\\"+a+\"l\"+t,e.parser.stack.env,e).mml();else{var d=l.create(\"text\",t);o=l.create(\"node\",\"mo\",[],{fence:!0,stretchy:!0,symmetric:!0,texClass:u.TEXCLASS.OPEN},d)}if(c.default.appendChildren(f,[o,r]),a)o=new s.default(\"\\\\\"+a+\"r\"+n,e.parser.stack.env,e).mml();else{var m=l.create(\"text\",n);o=l.create(\"node\",\"mo\",[],{fence:!0,stretchy:!0,symmetric:!0,texClass:u.TEXCLASS.CLOSE},m)}return i&&o.attributes.set(\"mathcolor\",i),c.default.appendChildren(f,[o]),f},e.fixedFence=function(e,t,r,n){var a=e.nodeFactory.create(\"node\",\"mrow\",[],{open:t,close:n,texClass:u.TEXCLASS.ORD});return t&&c.default.appendChildren(a,[v(e,t,\"l\")]),c.default.isType(r,\"mrow\")?c.default.appendChildren(a,c.default.getChildren(r)):c.default.appendChildren(a,[r]),n&&c.default.appendChildren(a,[v(e,n,\"r\")]),a},e.mathPalette=v,e.fixInitialMO=function(e,t){for(var r=0,n=t.length;r<n;r++){var a=t[r];if(a&&!c.default.isType(a,\"mspace\")&&(!c.default.isType(a,\"TeXAtom\")||c.default.getChildren(a)[0]&&c.default.getChildren(c.default.getChildren(a)[0]).length)){if(c.default.isEmbellished(a)||c.default.isType(a,\"TeXAtom\")&&c.default.getTexClass(a)===u.TEXCLASS.REL){var i=e.nodeFactory.create(\"node\",\"mi\");t.unshift(i)}break}}},e.internalMath=function(e,t,r,n){if(e.configuration.options.internalMath)return e.configuration.options.internalMath(e,t,r,n);var a,i,o=n||e.stack.env.font,l=o?{mathvariant:o}:{},u=[],c=0,d=0,m=\"\",h=0;if(t.match(/\\\\?[${}\\\\]|\\\\\\(|\\\\(eq)?ref\\s*\\{/)){for(;c<t.length;)if(\"$\"===(a=t.charAt(c++)))\"$\"===m&&0===h?(i=e.create(\"node\",\"TeXAtom\",[new s.default(t.slice(d,c-1),{},e.configuration).mml()]),u.push(i),m=\"\",d=c):\"\"===m&&(d<c-1&&u.push(g(e,t.slice(d,c-1),l)),m=\"$\",d=c);else if(\"{\"===a&&\"\"!==m)h++;else if(\"}\"===a)if(\"}\"===m&&0===h){var p=new s.default(t.slice(d,c),{},e.configuration).mml();i=e.create(\"node\",\"TeXAtom\",[p],l),u.push(i),m=\"\",d=c}else\"\"!==m&&h&&h--;else if(\"\\\\\"===a)if(\"\"===m&&t.substr(c).match(/^(eq)?ref\\s*\\{/)){var v=RegExp[\"$&\"].length;d<c-1&&u.push(g(e,t.slice(d,c-1),l)),m=\"}\",d=c-1,c+=v}else\"(\"===(a=t.charAt(c++))&&\"\"===m?(d<c-2&&u.push(g(e,t.slice(d,c-2),l)),m=\")\",d=c):\")\"===a&&\")\"===m&&0===h?(i=e.create(\"node\",\"TeXAtom\",[new s.default(t.slice(d,c-2),{},e.configuration).mml()]),u.push(i),m=\"\",d=c):a.match(/[${}\\\\]/)&&\"\"===m&&(c--,t=t.substr(0,c-1)+t.substr(c));if(\"\"!==m)throw new f.default(\"MathNotTerminated\",\"Math not terminated in text box\")}return d<t.length&&u.push(g(e,t.slice(d),l)),null!=r?u=[e.create(\"node\",\"mstyle\",u,{displaystyle:!1,scriptlevel:r})]:u.length>1&&(u=[e.create(\"node\",\"mrow\",u)]),u},e.internalText=g,e.underOver=function(t,r,n,a,i){if(e.checkMovableLimits(r),c.default.isType(r,\"munderover\")&&c.default.isEmbellished(r)){c.default.setProperties(c.default.getCoreMO(r),{lspace:0,rspace:0});var o=t.create(\"node\",\"mo\",[],{rspace:0});r=t.create(\"node\",\"mrow\",[o,r])}var l=t.create(\"node\",\"munderover\",[r]);c.default.setChild(l,\"over\"===a?l.over:l.under,n);var s=l;return i&&(s=t.create(\"node\",\"TeXAtom\",[l],{texClass:u.TEXCLASS.OP,movesupsub:!0})),c.default.setProperty(s,\"subsupOK\",!0),s},e.checkMovableLimits=function(e){var t=c.default.isType(e,\"mo\")?c.default.getForm(e):null;(c.default.getProperty(e,\"movablelimits\")||t&&t[3]&&t[3].movablelimits)&&c.default.setProperties(e,{movablelimits:!1})},e.trimSpaces=function(e){if(\"string\"!=typeof e)return e;var t=e.trim();return t.match(/\\\\$/)&&e.match(/ $/)&&(t+=\" \"),t},e.setArrayAlign=function(t,r){return\"t\"===(r=e.trimSpaces(r||\"\"))?t.arraydef.align=\"baseline 1\":\"b\"===r?t.arraydef.align=\"baseline -1\":\"c\"===r?t.arraydef.align=\"axis\":r&&(t.arraydef.align=r),t},e.substituteArgs=function(e,t,r){for(var n=\"\",a=\"\",i=0;i<r.length;){var o=r.charAt(i++);if(\"\\\\\"===o)n+=o+r.charAt(i++);else if(\"#\"===o)if(\"#\"===(o=r.charAt(i++)))n+=o;else{if(!o.match(/[1-9]/)||parseInt(o,10)>t.length)throw new f.default(\"IllegalMacroParam\",\"Illegal macro parameter reference\");a=y(e,y(e,a,n),t[parseInt(o,10)-1]),n=\"\"}else n+=o}return y(e,a,n)},e.addArgs=y,e.checkMaxMacros=function(e,t){if(void 0===t&&(t=!0),!(++e.macroCount<=e.configuration.options.maxMacros))throw t?new f.default(\"MaxMacroSub1\",\"MathJax maximum macro substitution count exceeded; is here a recursive macro call?\"):new f.default(\"MaxMacroSub2\",\"MathJax maximum substitution count exceeded; is there a recursive latex environment?\")},e.checkEqnEnv=function(e){if(e.stack.global.eqnenv)throw new f.default(\"ErroneousNestingEq\",\"Erroneous nesting of equation structures\");e.stack.global.eqnenv=!0},e.copyNode=function(e,t){var r=e.copy(),n=t.configuration;return r.walkTree((function(e){var t,r;n.addNode(e.kind,e);var a=(e.getProperty(\"in-lists\")||\"\").split(/,/);try{for(var i=o(a),l=i.next();!l.done;l=i.next()){var u=l.value;n.addNode(u,e)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}})),r},e.MmlFilterAttribute=function(e,t,r){return r},e.getFontDef=function(e){var t=e.stack.env.font;return t?{mathvariant:t}:{}},e.keyvalOptions=function(e,t,r){var n,a;void 0===t&&(t=null),void 0===r&&(r=!1);var l=function(e){var t,r,n,a,o,l={},u=e;for(;u;)a=(t=i(b(u,[\"=\",\",\"]),3))[0],n=t[1],u=t[2],\"=\"===n?(o=(r=i(b(u,[\",\"]),3))[0],n=r[1],u=r[2],o=\"false\"===o||\"true\"===o?JSON.parse(o):o,l[a]=o):a&&(l[a]=!0);return l}(e);if(t)try{for(var u=o(Object.keys(l)),c=u.next();!c.done;c=u.next()){var s=c.value;if(!t.hasOwnProperty(s)){if(r)throw new f.default(\"InvalidOption\",\"Invalid option: %1\",s);delete l[s]}}}catch(e){n={error:e}}finally{try{c&&!c.done&&(a=u.return)&&a.call(u)}finally{if(n)throw n.error}}return l}}(l||(l={})),r.default=l},\n",
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-       "      544: function _(t,e,n,r,o){var i=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},a=this&&this.__read||function(t,e){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,o,i=n.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(r=i.next()).done;)a.push(r.value)}catch(t){o={error:t}}finally{try{r&&!r.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},l=this&&this.__spreadArray||function(t,e){for(var n=0,r=e.length,o=t.length;n<r;n++,o++)t[o]=e[n];return t};r();var s=function(){function t(t){var e,n;void 0===t&&(t=null),this.defaultKind=\"unknown\",this.nodeMap=new Map,this.node={},null===t&&(t=this.constructor.defaultNodes);try{for(var r=i(Object.keys(t)),o=r.next();!o.done;o=r.next()){var a=o.value;this.setNodeClass(a,t[a])}}catch(t){e={error:t}}finally{try{o&&!o.done&&(n=r.return)&&n.call(r)}finally{if(e)throw e.error}}}return t.prototype.create=function(t){for(var e=[],n=1;n<arguments.length;n++)e[n-1]=arguments[n];return(this.node[t]||this.node[this.defaultKind]).apply(void 0,l([],a(e)))},t.prototype.setNodeClass=function(t,e){this.nodeMap.set(t,e);var n=this,r=this.nodeMap.get(t);this.node[t]=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];return new(r.bind.apply(r,l([void 0,n],a(t))))}},t.prototype.getNodeClass=function(t){return this.nodeMap.get(t)},t.prototype.deleteNodeClass=function(t){this.nodeMap.delete(t),delete this.node[t]},t.prototype.nodeIsKind=function(t,e){return t instanceof this.getNodeClass(e)},t.prototype.getKinds=function(){return Array.from(this.nodeMap.keys())},t.defaultNodes={},t}();n.AbstractFactory=s},\n",
-       "      545: function _(t,r,e,o,n){var a=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,a=e.call(t),c=[];try{for(;(void 0===r||r-- >0)&&!(o=a.next()).done;)c.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=a.return)&&e.call(a)}finally{if(n)throw n.error}}return c},c=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t};o();var i=t(532),u=function(){function t(){this.mmlFactory=null,this.factory={node:t.createNode,token:t.createToken,text:t.createText,error:t.createError}}return t.createNode=function(t,r,e,o,n){void 0===e&&(e=[]),void 0===o&&(o={});var a=t.mmlFactory.create(r);return a.setChildren(e),n&&a.appendChild(n),i.default.setProperties(a,o),a},t.createToken=function(t,r,e,o){void 0===e&&(e={}),void 0===o&&(o=\"\");var n=t.create(\"text\",o);return t.create(\"node\",r,[],e,n)},t.createText=function(t,r){return null==r?null:t.mmlFactory.create(\"text\").setText(r)},t.createError=function(t,r){var e=t.create(\"text\",r),o=t.create(\"node\",\"mtext\",[],{},e);return t.create(\"node\",\"merror\",[o],{\"data-mjx-error\":r})},t.prototype.setMmlFactory=function(t){this.mmlFactory=t},t.prototype.set=function(t,r){this.factory[t]=r},t.prototype.setCreators=function(t){for(var r in t)this.set(r,t[r])},t.prototype.create=function(t){for(var r=[],e=1;e<arguments.length;e++)r[e-1]=arguments[e];var o=this.factory[t]||this.factory.node,n=o.apply(void 0,c([this,r[0]],a(r.slice(1))));return\"node\"===t&&this.configuration.addNode(r[0],n),n},t.prototype.get=function(t){return this.factory[t]},t}();e.NodeFactory=u},\n",
-       "      546: function _(t,e,n,r,i){var a,o=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),s=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var u=t(535),c=function(t,e){void 0===t&&(t=\"???\"),void 0===e&&(e=\"\"),this.tag=t,this.id=e};n.Label=c;var 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t.toString()},t.prototype.autoTag=function(){null==this.currentTag.tag&&(this.counter++,this.tag(this.formatNumber(this.counter),!1))},t.prototype.clearTag=function(){this.label=\"\",this.tag(null,!0),this.currentTag.tagId=\"\"},t.prototype.getTag=function(t){if(void 0===t&&(t=!1),t)return this.autoTag(),this.makeTag();var e=this.currentTag;return e.taggable&&!e.noTag&&(e.defaultTags&&this.autoTag(),e.tag)?this.makeTag():null},t.prototype.resetTag=function(){this.history=[],this.redo=!1,this.refUpdate=!1,this.clearTag()},t.prototype.reset=function(t){void 0===t&&(t=0),this.resetTag(),this.counter=this.allCounter=t,this.allLabels={},this.allIds={}},t.prototype.startEquation=function(t){this.history=[],this.stack=[],this.clearTag(),this.currentTag=new l(\"\",void 0,void 0),this.labels={},this.ids={},this.counter=this.allCounter,this.redo=!1;var e=t.inputData.recompile;e&&(this.refUpdate=!0,this.counter=e.counter)},t.prototype.finishEquation=function(t){this.redo&&(t.inputData.recompile={state:t.state(),counter:this.allCounter}),this.refUpdate||(this.allCounter=this.counter),Object.assign(this.allIds,this.ids),Object.assign(this.allLabels,this.labels)},t.prototype.finalize=function(t,e){if(!e.display||this.currentTag.env||null==this.currentTag.tag)return t;var n=this.makeTag();return this.enTag(t,n)},t.prototype.makeId=function(){this.currentTag.tagId=this.formatId(this.configuration.options.useLabelIds&&this.label||this.currentTag.tag)},t.prototype.makeTag=function(){this.makeId(),this.label&&(this.labels[this.label]=new c(this.currentTag.tag,this.currentTag.tagId));var t=new u.default(\"\\\\text{\"+this.currentTag.tagFormat+\"}\",{},this.configuration).mml();return this.configuration.nodeFactory.create(\"node\",\"mtd\",[t],{id:this.currentTag.tagId})},t}();n.AbstractTags=h;var g=function(t){function e(){return 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r},t.setDefault=function(t){n=t},t.getDefault=function(){return t.create(n)}}(n.TagsFactory||(n.TagsFactory={}))},\n",
-       "      547: function _(t,r,e,i,o){var n=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],i=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&i>=t.length&&(t=void 0),{value:t&&t[i++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var i,o,n=e.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(i=n.next()).done;)s.push(i.value)}catch(t){o={error:t}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(o)throw o.error}}return s};i();var a,c=t(522),d=t(548),l=t(523),h=t(518),f=t(546),u=function(){function t(t,r,e,i,o,n,s,a,c,d,l,h,f){void 0===r&&(r={}),void 0===e&&(e={}),void 0===i&&(i={}),void 0===o&&(o={}),void 0===n&&(n={}),void 0===s&&(s={}),void 0===a&&(a=[]),void 0===c&&(c=[]),void 0===d&&(d=null),void 0===l&&(l=null),this.name=t,this.handler=r,this.fallback=e,this.items=i,this.tags=o,this.options=n,this.nodes=s,this.preprocessors=a,this.postprocessors=c,this.initMethod=d,this.configMethod=l,this.priority=h,this.parser=f,this.handler=Object.assign({character:[],delimiter:[],macro:[],environment:[]},r)}return t.makeProcessor=function(t,r){return Array.isArray(t)?t:[t,r]},t._create=function(r,e){var i=this;void 0===e&&(e={});var o=e.priority||h.PrioritizedList.DEFAULTPRIORITY,n=e.init?this.makeProcessor(e.init,o):null,s=e.config?this.makeProcessor(e.config,o):null,a=(e.preprocessors||[]).map((function(t){return i.makeProcessor(t,o)})),c=(e.postprocessors||[]).map((function(t){return i.makeProcessor(t,o)})),d=e.parser||\"tex\";return new t(r,e.handler||{},e.fallback||{},e.items||{},e.tags||{},e.options||{},e.nodes||{},a,c,n,s,o,d)},t.create=function(r,e){void 0===e&&(e={});var i=t._create(r,e);return a.set(r,i),i},t.local=function(r){return void 0===r&&(r={}),t._create(\"\",r)},Object.defineProperty(t.prototype,\"init\",{get:function(){return this.initMethod?this.initMethod[0]:null},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"config\",{get:function(){return this.configMethod?this.configMethod[0]:null},enumerable:!1,configurable:!0}),t}();e.Configuration=u,function(t){var r=new Map;t.set=function(t,e){r.set(t,e)},t.get=function(t){return r.get(t)},t.keys=function(){return r.keys()}}(a=e.ConfigurationHandler||(e.ConfigurationHandler={}));var p=function(){function t(t,r){var e,i,o,s;void 0===r&&(r=[\"tex\"]),this.initMethod=new l.FunctionList,this.configMethod=new l.FunctionList,this.configurations=new h.PrioritizedList,this.parsers=[],this.handlers=new d.SubHandlers,this.items={},this.tags={},this.options={},this.nodes={},this.parsers=r;try{for(var a=n(t.slice().reverse()),c=a.next();!c.done;c=a.next()){var f=c.value;this.addPackage(f)}}catch(t){e={error:t}}finally{try{c&&!c.done&&(i=a.return)&&i.call(a)}finally{if(e)throw e.error}}try{for(var u=n(this.configurations),p=u.next();!p.done;p=u.next()){var y=p.value,v=y.item,g=y.priority;this.append(v,g)}}catch(t){o={error:t}}finally{try{p&&!p.done&&(s=u.return)&&s.call(u)}finally{if(o)throw o.error}}}return t.prototype.init=function(){this.initMethod.execute(this)},t.prototype.config=function(t){var r,e;this.configMethod.execute(this,t);try{for(var i=n(this.configurations),o=i.next();!o.done;o=i.next()){var s=o.value;this.addFilters(t,s.item)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(r)throw r.error}}},t.prototype.addPackage=function(t){var r=\"string\"==typeof t?t:t[0],e=this.getPackage(r);e&&this.configurations.add(e,\"string\"==typeof t?e.priority:t[1])},t.prototype.add=function(t,r,e){var i,o;void 0===e&&(e={});var s=this.getPackage(t);this.append(s),this.configurations.add(s,s.priority),this.init();var a=r.parseOptions;a.nodeFactory.setCreators(s.nodes);try{for(var d=n(Object.keys(s.items)),l=d.next();!l.done;l=d.next()){var h=l.value;a.itemFactory.setNodeClass(h,s.items[h])}}catch(t){i={error:t}}finally{try{l&&!l.done&&(o=d.return)&&o.call(d)}finally{if(i)throw i.error}}f.TagsFactory.addTags(s.tags),c.defaultOptions(a.options,s.options),c.userOptions(a.options,e),this.addFilters(r,s),s.config&&s.config(this,r)},t.prototype.getPackage=function(t){var r=a.get(t);if(r&&this.parsers.indexOf(r.parser)<0)throw Error(\"Package \"+t+\" doesn't target the proper parser\");return r},t.prototype.append=function(t,r){r=r||t.priority,t.initMethod&&this.initMethod.add(t.initMethod[0],t.initMethod[1]),t.configMethod&&this.configMethod.add(t.configMethod[0],t.configMethod[1]),this.handlers.add(t.handler,t.fallback,r),Object.assign(this.items,t.items),Object.assign(this.tags,t.tags),c.defaultOptions(this.options,t.options),Object.assign(this.nodes,t.nodes)},t.prototype.addFilters=function(t,r){var e,i,o,a;try{for(var c=n(r.preprocessors),d=c.next();!d.done;d=c.next()){var l=s(d.value,2),h=l[0],f=l[1];t.preFilters.add(h,f)}}catch(t){e={error:t}}finally{try{d&&!d.done&&(i=c.return)&&i.call(c)}finally{if(e)throw e.error}}try{for(var u=n(r.postprocessors),p=u.next();!p.done;p=u.next()){var y=s(p.value,2),v=y[0];f=y[1];t.postFilters.add(v,f)}}catch(t){o={error:t}}finally{try{p&&!p.done&&(a=u.return)&&a.call(u)}finally{if(o)throw o.error}}},t}();e.ParserConfiguration=p},\n",
-       "      548: function _(r,t,n,e,o){var i=this&&this.__values||function(r){var t=\"function\"==typeof Symbol&&Symbol.iterator,n=t&&r[t],e=0;if(n)return n.call(r);if(r&&\"number\"==typeof r.length)return{next:function(){return r&&e>=r.length&&(r=void 0),{value:r&&r[e++],done:!r}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},a=this&&this.__read||function(r,t){var n=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!n)return r;var e,o,i=n.call(r),a=[];try{for(;(void 0===t||t-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(r){o={error:r}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a};e();var l,u=r(518),f=r(523);!function(r){var t=new Map;r.register=function(r){t.set(r.name,r)},r.getMap=function(r){return t.get(r)}}(l=n.MapHandler||(n.MapHandler={}));var c=function(){function r(){this._configuration=new u.PrioritizedList,this._fallback=new f.FunctionList}return r.prototype.add=function(r,t,n){var e,o;void 0===n&&(n=u.PrioritizedList.DEFAULTPRIORITY);try{for(var a=i(r.slice().reverse()),f=a.next();!f.done;f=a.next()){var c=f.value,y=l.getMap(c);if(!y)return void this.warn(\"Configuration \"+c+\" not found! Omitted.\");this._configuration.add(y,n)}}catch(r){e={error:r}}finally{try{f&&!f.done&&(o=a.return)&&o.call(a)}finally{if(e)throw e.error}}t&&this._fallback.add(t,n)},r.prototype.parse=function(r){var t,n;try{for(var e=i(this._configuration),o=e.next();!o.done;o=e.next()){var l=o.value.item.parse(r);if(l)return l}}catch(r){t={error:r}}finally{try{o&&!o.done&&(n=e.return)&&n.call(e)}finally{if(t)throw t.error}}var u=a(r,2),f=u[0],c=u[1];Array.from(this._fallback)[0].item(f,c)},r.prototype.lookup=function(r){var t=this.applicable(r);return t?t.lookup(r):null},r.prototype.contains=function(r){return!!this.applicable(r)},r.prototype.toString=function(){var r,t,n=[];try{for(var e=i(this._configuration),o=e.next();!o.done;o=e.next()){var a=o.value.item;n.push(a.name)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(t=e.return)&&t.call(e)}finally{if(r)throw r.error}}return n.join(\", \")},r.prototype.applicable=function(r){var t,n;try{for(var e=i(this._configuration),o=e.next();!o.done;o=e.next()){var a=o.value.item;if(a.contains(r))return a}}catch(r){t={error:r}}finally{try{o&&!o.done&&(n=e.return)&&n.call(e)}finally{if(t)throw t.error}}return null},r.prototype.retrieve=function(r){var t,n;try{for(var e=i(this._configuration),o=e.next();!o.done;o=e.next()){var a=o.value.item;if(a.name===r)return a}}catch(r){t={error:r}}finally{try{o&&!o.done&&(n=e.return)&&n.call(e)}finally{if(t)throw t.error}}return null},r.prototype.warn=function(r){console.log(\"TexParser Warning: \"+r)},r}();n.SubHandler=c;var y=function(){function r(){this.map=new Map}return r.prototype.add=function(r,t,n){var e,o;void 0===n&&(n=u.PrioritizedList.DEFAULTPRIORITY);try{for(var a=i(Object.keys(r)),l=a.next();!l.done;l=a.next()){var f=l.value,y=this.get(f);y||(y=new c,this.set(f,y)),y.add(r[f],t[f],n)}}catch(r){e={error:r}}finally{try{l&&!l.done&&(o=a.return)&&o.call(a)}finally{if(e)throw e.error}}},r.prototype.set=function(r,t){this.map.set(r,t)},r.prototype.get=function(r){return this.map.get(r)},r.prototype.retrieve=function(r){var t,n;try{for(var e=i(this.map.values()),o=e.next();!o.done;o=e.next()){var a=o.value.retrieve(r);if(a)return a}}catch(r){t={error:r}}finally{try{o&&!o.done&&(n=e.return)&&n.call(e)}finally{if(t)throw t.error}}return null},r.prototype.keys=function(){return this.map.keys()},r}();n.SubHandlers=y},\n",
-       "      549: function _(t,e,o,n,r){var i,a,m=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),p=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,o=e&&t[e],n=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var c=t(547),d=t(548),l=t(537),s=t(532),u=t(550),y=t(552),f=t(546);t(553);var I=t(534);function h(t,e){var o=t.stack.env.font?{mathvariant:t.stack.env.font}:{},n=d.MapHandler.getMap(\"remap\").lookup(e),r=I.getRange(e),i=r?r[3]:\"mo\",a=t.create(\"token\",i,o,n?n.char:e);\"mo\"===i&&(s.default.setProperty(a,\"fixStretchy\",!0),t.configuration.addNode(\"fixStretchy\",a)),t.Push(a)}new u.CharacterMap(\"remap\",null,{\"-\":\"\\u2212\",\"*\":\"\\u2217\",\"`\":\"\\u2018\"}),o.Other=h;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return m(e,t),e}(f.AbstractTags);o.BaseTags=v,o.BaseConfiguration=c.Configuration.create(\"base\",{handler:{character:[\"command\",\"special\",\"letter\",\"digit\"],delimiter:[\"delimiter\"],macro:[\"delimiter\",\"macros\",\"mathchar0mi\",\"mathchar0mo\",\"mathchar7\"],environment:[\"environment\"]},fallback:{character:h,macro:function(t,e){throw new l.default(\"UndefinedControlSequence\",\"Undefined control sequence %1\",\"\\\\\"+e)},environment:function(t,e){throw new l.default(\"UnknownEnv\",\"Unknown environment '%1'\",e)}},items:(a={},a[y.StartItem.prototype.kind]=y.StartItem,a[y.StopItem.prototype.kind]=y.StopItem,a[y.OpenItem.prototype.kind]=y.OpenItem,a[y.CloseItem.prototype.kind]=y.CloseItem,a[y.PrimeItem.prototype.kind]=y.PrimeItem,a[y.SubsupItem.prototype.kind]=y.SubsupItem,a[y.OverItem.prototype.kind]=y.OverItem,a[y.LeftItem.prototype.kind]=y.LeftItem,a[y.Middle.prototype.kind]=y.Middle,a[y.RightItem.prototype.kind]=y.RightItem,a[y.BeginItem.prototype.kind]=y.BeginItem,a[y.EndItem.prototype.kind]=y.EndItem,a[y.StyleItem.prototype.kind]=y.StyleItem,a[y.PositionItem.prototype.kind]=y.PositionItem,a[y.CellItem.prototype.kind]=y.CellItem,a[y.MmlItem.prototype.kind]=y.MmlItem,a[y.FnItem.prototype.kind]=y.FnItem,a[y.NotItem.prototype.kind]=y.NotItem,a[y.NonscriptItem.prototype.kind]=y.NonscriptItem,a[y.DotsItem.prototype.kind]=y.DotsItem,a[y.ArrayItem.prototype.kind]=y.ArrayItem,a[y.EqnArrayItem.prototype.kind]=y.EqnArrayItem,a[y.EquationItem.prototype.kind]=y.EquationItem,a),options:{maxMacros:1e3,baseURL:\"undefined\"==typeof document||0===document.getElementsByTagName(\"base\").length?\"\":String(document.location).replace(/#.*$/,\"\")},tags:{base:v},postprocessors:[[function(t){var e,o,n=t.data;try{for(var r=p(n.getList(\"nonscript\")),i=r.next();!i.done;i=r.next()){var a=i.value;if(a.attributes.get(\"scriptlevel\")>0){var m=a.parent;if(m.childNodes.splice(m.childIndex(a),1),n.removeFromList(a.kind,[a]),a.isKind(\"mrow\")){var c=a.childNodes[0];n.removeFromList(\"mstyle\",[c]),n.removeFromList(\"mspace\",c.childNodes[0].childNodes)}}else a.isKind(\"mrow\")&&(a.parent.replaceChild(a.childNodes[0],a),n.removeFromList(\"mrow\",[a]))}}catch(t){e={error:t}}finally{try{i&&!i.done&&(o=r.return)&&o.call(r)}finally{if(e)throw e.error}}},-4]]})},\n",
-       "      550: function _(r,t,n,e,o){var i,a=this&&this.__extends||(i=function(r,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(r,t){r.__proto__=t}||function(r,t){for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&(r[n]=t[n])},i(r,t)},function(r,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function n(){this.constructor=r}i(r,t),r.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}),u=this&&this.__read||function(r,t){var n=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!n)return r;var e,o,i=n.call(r),a=[];try{for(;(void 0===t||t-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(r){o={error:r}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},p=this&&this.__values||function(r){var t=\"function\"==typeof Symbol&&Symbol.iterator,n=t&&r[t],e=0;if(n)return n.call(r);if(r&&\"number\"==typeof r.length)return{next:function(){return r&&e>=r.length&&(r=void 0),{value:r&&r[e++],done:!r}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},l=this&&this.__spreadArray||function(r,t){for(var n=0,e=t.length,o=r.length;n<e;n++,o++)r[o]=t[n];return r};e();var s=r(551),c=r(548),f=function(){function r(r,t){this._name=r,this._parser=t,c.MapHandler.register(this)}return Object.defineProperty(r.prototype,\"name\",{get:function(){return this._name},enumerable:!1,configurable:!0}),r.prototype.parserFor=function(r){return this.contains(r)?this.parser:null},r.prototype.parse=function(r){var t=u(r,2),n=t[0],e=t[1],o=this.parserFor(e),i=this.lookup(e);return o&&i?o(n,i)||!0:null},Object.defineProperty(r.prototype,\"parser\",{get:function(){return this._parser},set:function(r){this._parser=r},enumerable:!1,configurable:!0}),r}();n.AbstractSymbolMap=f;var h=function(r){function t(t,n,e){var o=r.call(this,t,n)||this;return o._regExp=e,o}return a(t,r),t.prototype.contains=function(r){return this._regExp.test(r)},t.prototype.lookup=function(r){return this.contains(r)?r:null},t}(f);n.RegExpMap=h;var y=function(r){function t(){var t=null!==r&&r.apply(this,arguments)||this;return t.map=new Map,t}return a(t,r),t.prototype.lookup=function(r){return this.map.get(r)},t.prototype.contains=function(r){return this.map.has(r)},t.prototype.add=function(r,t){this.map.set(r,t)},t.prototype.remove=function(r){this.map.delete(r)},t}(f);n.AbstractParseMap=y;var v=function(r){function t(t,n,e){var o,i,a=r.call(this,t,n)||this;try{for(var l=p(Object.keys(e)),c=l.next();!c.done;c=l.next()){var f=c.value,h=e[f],y=u(\"string\"==typeof h?[h,null]:h,2),v=y[0],d=y[1],b=new s.Symbol(f,v,d);a.add(f,b)}}catch(r){o={error:r}}finally{try{c&&!c.done&&(i=l.return)&&i.call(l)}finally{if(o)throw o.error}}return a}return a(t,r),t}(y);n.CharacterMap=v;var d=function(r){function t(){return null!==r&&r.apply(this,arguments)||this}return a(t,r),t.prototype.parse=function(t){var n=u(t,2),e=n[0],o=n[1];return r.prototype.parse.call(this,[e,\"\\\\\"+o])},t}(v);n.DelimiterMap=d;var b=function(r){function t(t,n,e){var o,i,a=r.call(this,t,null)||this;try{for(var l=p(Object.keys(n)),c=l.next();!c.done;c=l.next()){var f=c.value,h=n[f],y=u(\"string\"==typeof h?[h]:h),v=y[0],d=y.slice(1),b=new s.Macro(f,e[v],d);a.add(f,b)}}catch(r){o={error:r}}finally{try{c&&!c.done&&(i=l.return)&&i.call(l)}finally{if(o)throw o.error}}return a}return a(t,r),t.prototype.parserFor=function(r){var t=this.lookup(r);return t?t.func:null},t.prototype.parse=function(r){var t=u(r,2),n=t[0],e=t[1],o=this.lookup(e),i=this.parserFor(e);return o&&i?i.apply(void 0,l([n,o.symbol],u(o.args)))||!0:null},t}(y);n.MacroMap=b;var m=function(r){function t(){return null!==r&&r.apply(this,arguments)||this}return a(t,r),t.prototype.parse=function(r){var t=u(r,2),n=t[0],e=t[1],o=this.lookup(e),i=this.parserFor(e);if(!o||!i)return null;if(!i)return null;var a=n.currentCS;n.currentCS=\"\\\\\"+e;var p=i.apply(void 0,l([n,\"\\\\\"+o.symbol],u(o.args)));return n.currentCS=a,p||!0},t}(b);n.CommandMap=m;var _=function(r){function t(t,n,e,o){var i=r.call(this,t,e,o)||this;return i.parser=n,i}return a(t,r),t.prototype.parse=function(r){var t=u(r,2),n=t[0],e=t[1],o=this.lookup(e),i=this.parserFor(e);return o&&i?(this.parser(n,o.symbol,i,o.args),!0):null},t}(b);n.EnvironmentMap=_},\n",
-       "      551: function _(e,t,r,n,o){n();var i=function(){function e(e,t,r){this._symbol=e,this._char=t,this._attributes=r}return Object.defineProperty(e.prototype,\"symbol\",{get:function(){return this._symbol},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"char\",{get:function(){return this._char},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"attributes\",{get:function(){return this._attributes},enumerable:!1,configurable:!0}),e}();r.Symbol=i;var u=function(){function e(e,t,r){void 0===r&&(r=[]),this._symbol=e,this._func=t,this._args=r}return Object.defineProperty(e.prototype,\"symbol\",{get:function(){return this._symbol},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"func\",{get:function(){return this._func},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"args\",{get:function(){return this._args},enumerable:!1,configurable:!0}),e}();r.Macro=u},\n",
-       "      552: function _(t,e,r,n,i){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,i,o=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)s.push(n.value)}catch(t){i={error:t}}finally{try{n&&!n.done&&(r=o.return)&&r.call(o)}finally{if(i)throw i.error}}return s},u=this&&this.__spreadArray||function(t,e){for(var r=0,n=e.length,i=t.length;r<n;r++,i++)t[i]=e[r];return t};n();var l=t(548),c=t(538),p=t(529),f=t(537),h=t(536),d=t(532),y=t(543),m=function(t){function e(e,r){var n=t.call(this,e)||this;return n.global=r,n}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"start\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"stop\")){var r=this.toMml();return this.global.isInner||(r=this.factory.configuration.tags.finalize(r,this.env)),[[this.factory.create(\"mml\",r)],!0]}return t.prototype.checkItem.call(this,e)},e}(y.BaseItem);r.StartItem=m;var g=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"stop\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.StopItem=g;var b=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"open\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"close\")){var r=this.toMml(),n=this.create(\"node\",\"TeXAtom\",[r]);return[[this.factory.create(\"mml\",n)],!0]}return t.prototype.checkItem.call(this,e)},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"ExtraOpenMissingClose\",\"Extra open brace or missing close brace\"]}),e}(y.BaseItem);r.OpenItem=b;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"close\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.CloseItem=v;var P=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"prime\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){var e=a(this.Peek(2),2),r=e[0],n=e[1];return!d.default.isType(r,\"msubsup\")||d.default.isType(r,\"msup\")?[[this.create(\"node\",\"msup\",[r,n]),t],!0]:(d.default.setChild(r,r.sup,n),[[r,t],!0])},e}(y.BaseItem);r.PrimeItem=P;var I=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"subsup\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"open\")||e.isKind(\"left\"))return y.BaseItem.success;var r=this.First,n=this.getProperty(\"position\");if(e.isKind(\"mml\")){if(this.getProperty(\"primes\"))if(2!==n)d.default.setChild(r,2,this.getProperty(\"primes\"));else{d.default.setProperty(this.getProperty(\"primes\"),\"variantForm\",!0);var i=this.create(\"node\",\"mrow\",[this.getProperty(\"primes\"),e.First]);e.First=i}return d.default.setChild(r,n,e.First),null!=this.getProperty(\"movesupsub\")&&d.default.setProperty(r,\"movesupsub\",this.getProperty(\"movesupsub\")),[[this.factory.create(\"mml\",r)],!0]}if(t.prototype.checkItem.call(this,e)[1]){var o=this.getErrors([\"\",\"sub\",\"sup\"][n]);throw new(f.default.bind.apply(f.default,u([void 0,o[0],o[1]],a(o.splice(2)))))}return null},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"MissingScript\",\"Missing superscript or subscript argument\"],sup:[\"MissingOpenForSup\",\"Missing open brace for superscript\"],sub:[\"MissingOpenForSub\",\"Missing open brace for subscript\"]}),e}(y.BaseItem);r.SubsupItem=I;var w=function(t){function e(e){var r=t.call(this,e)||this;return r.setProperty(\"name\",\"\\\\over\"),r}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"over\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"over\"))throw new f.default(\"AmbiguousUseOf\",\"Ambiguous use of %1\",e.getName());if(e.isClose){var r=this.create(\"node\",\"mfrac\",[this.getProperty(\"num\"),this.toMml(!1)]);return null!=this.getProperty(\"thickness\")&&d.default.setAttribute(r,\"linethickness\",this.getProperty(\"thickness\")),(this.getProperty(\"open\")||this.getProperty(\"close\"))&&(d.default.setProperty(r,\"withDelims\",!0),r=h.default.fixedFence(this.factory.configuration,this.getProperty(\"open\"),r,this.getProperty(\"close\"))),[[this.factory.create(\"mml\",r),e],!0]}return t.prototype.checkItem.call(this,e)},e.prototype.toString=function(){return\"over[\"+this.getProperty(\"num\")+\" / \"+this.nodes.join(\"; \")+\"]\"},e}(y.BaseItem);r.OverItem=w;var O=function(t){function e(e,r){var n=t.call(this,e)||this;return n.setProperty(\"delim\",r),n}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"left\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"right\"))return[[this.factory.create(\"mml\",h.default.fenced(this.factory.configuration,this.getProperty(\"delim\"),this.toMml(),e.getProperty(\"delim\"),\"\",e.getProperty(\"color\")))],!0];if(e.isKind(\"middle\")){var r={stretchy:!0};return e.getProperty(\"color\")&&(r.mathcolor=e.getProperty(\"color\")),this.Push(this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.CLOSE}),this.create(\"token\",\"mo\",r,e.getProperty(\"delim\")),this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.OPEN})),this.env={},[[this],!0]}return t.prototype.checkItem.call(this,e)},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"ExtraLeftMissingRight\",\"Extra \\\\left or missing \\\\right\"]}),e}(y.BaseItem);r.LeftItem=O;var k=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"middle\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.Middle=k;var j=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"right\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.RightItem=j;var E=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"begin\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"end\")){if(e.getName()!==this.getName())throw new f.default(\"EnvBadEnd\",\"\\\\begin{%1} ended with \\\\end{%2}\",this.getName(),e.getName());return this.getProperty(\"end\")?y.BaseItem.fail:[[this.factory.create(\"mml\",this.toMml())],!0]}if(e.isKind(\"stop\"))throw new f.default(\"EnvMissingEnd\",\"Missing \\\\end{%1}\",this.getName());return t.prototype.checkItem.call(this,e)},e}(y.BaseItem);r.BeginItem=E;var C=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"end\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.EndItem=C;var B=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"style\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(!e.isClose)return t.prototype.checkItem.call(this,e);var r=this.create(\"node\",\"mstyle\",this.nodes,this.getProperty(\"styles\"));return[[this.factory.create(\"mml\",r),e],!0]},e}(y.BaseItem);r.StyleItem=B;var x=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"position\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isClose)throw new f.default(\"MissingBoxFor\",\"Missing box for %1\",this.getName());if(e.isFinal){var r=e.toMml();switch(this.getProperty(\"move\")){case\"vertical\":return r=this.create(\"node\",\"mpadded\",[r],{height:this.getProperty(\"dh\"),depth:this.getProperty(\"dd\"),voffset:this.getProperty(\"dh\")}),[[this.factory.create(\"mml\",r)],!0];case\"horizontal\":return[[this.factory.create(\"mml\",this.getProperty(\"left\")),e,this.factory.create(\"mml\",this.getProperty(\"right\"))],!0]}}return t.prototype.checkItem.call(this,e)},e}(y.BaseItem);r.PositionItem=x;var M=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"cell\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.CellItem=M;var T=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"isFinal\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mml\"},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.MmlItem=T;var A=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"fn\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){var r=this.First;if(r){if(e.isOpen)return y.BaseItem.success;if(!e.isKind(\"fn\")){var n=e.First;if(!e.isKind(\"mml\")||!n)return[[r,e],!0];if(d.default.isType(n,\"mstyle\")&&n.childNodes.length&&d.default.isType(n.childNodes[0].childNodes[0],\"mspace\")||d.default.isType(n,\"mspace\"))return[[r,e],!0];d.default.isEmbellished(n)&&(n=d.default.getCoreMO(n));var i=d.default.getForm(n);if(null!=i&&[0,0,1,1,0,1,1,0,0,0][i[2]])return[[r,e],!0]}var o=this.create(\"token\",\"mo\",{texClass:p.TEXCLASS.NONE},c.entities.ApplyFunction);return[[r,o,e],!0]}return t.prototype.checkItem.apply(this,arguments)},e}(y.BaseItem);r.FnItem=A;var S=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.remap=l.MapHandler.getMap(\"not_remap\"),e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"not\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){var e,r,n;if(t.isKind(\"open\")||t.isKind(\"left\"))return y.BaseItem.success;if(t.isKind(\"mml\")&&(d.default.isType(t.First,\"mo\")||d.default.isType(t.First,\"mi\")||d.default.isType(t.First,\"mtext\"))&&(e=t.First,1===(r=d.default.getText(e)).length&&!d.default.getProperty(e,\"movesupsub\")&&1===d.default.getChildren(e).length))return this.remap.contains(r)?(n=this.create(\"text\",this.remap.lookup(r).char),d.default.setChild(e,0,n)):(n=this.create(\"text\",\"\\u0338\"),d.default.appendChildren(e,[n])),[[t],!0];n=this.create(\"text\",\"\\u29f8\");var i=this.create(\"node\",\"mtext\",[],{},n),o=this.create(\"node\",\"mpadded\",[i],{width:0});return[[e=this.create(\"node\",\"TeXAtom\",[o],{texClass:p.TEXCLASS.REL}),t],!0]},e}(y.BaseItem);r.NotItem=S;var K=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"nonscript\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"mml\")&&1===t.Size()){var e=t.First;if(e.isKind(\"mstyle\")&&e.notParent&&(e=d.default.getChildren(d.default.getChildren(e)[0])[0]),e.isKind(\"mspace\")){if(e!==t.First){var r=this.create(\"node\",\"mrow\",[t.Pop()]);t.Push(r)}this.factory.configuration.addNode(\"nonscript\",t.First)}}return[[t],!0]},e}(y.BaseItem);r.NonscriptItem=K;var F=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"dots\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"open\")||t.isKind(\"left\"))return y.BaseItem.success;var e=this.getProperty(\"ldots\"),r=t.First;if(t.isKind(\"mml\")&&d.default.isEmbellished(r)){var n=d.default.getTexClass(d.default.getCoreMO(r));n!==p.TEXCLASS.BIN&&n!==p.TEXCLASS.REL||(e=this.getProperty(\"cdots\"))}return[[e,t],!0]},e}(y.BaseItem);r.DotsItem=F;var N=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.table=[],e.row=[],e.frame=[],e.hfill=[],e.arraydef={},e.dashed=!1,e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"array\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"copyEnv\",{get:function(){return!1},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isClose&&!e.isKind(\"over\")){if(e.getProperty(\"isEntry\"))return this.EndEntry(),this.clearEnv(),y.BaseItem.fail;if(e.getProperty(\"isCR\"))return this.EndEntry(),this.EndRow(),this.clearEnv(),y.BaseItem.fail;this.EndTable(),this.clearEnv();var r=this.factory.create(\"mml\",this.createMml());if(this.getProperty(\"requireClose\")){if(e.isKind(\"close\"))return[[r],!0];throw new f.default(\"MissingCloseBrace\",\"Missing close brace\")}return[[r,e],!0]}return t.prototype.checkItem.call(this,e)},e.prototype.createMml=function(){var t=this.arraydef.scriptlevel;delete this.arraydef.scriptlevel;var e=this.create(\"node\",\"mtable\",this.table,this.arraydef);return t&&e.setProperty(\"scriptlevel\",t),4===this.frame.length?d.default.setAttribute(e,\"frame\",this.dashed?\"dashed\":\"solid\"):this.frame.length&&(this.arraydef.rowlines&&(this.arraydef.rowlines=this.arraydef.rowlines.replace(/none( none)+$/,\"none\")),d.default.setAttribute(e,\"frame\",\"\"),e=this.create(\"node\",\"menclose\",[e],{notation:this.frame.join(\" \")}),\"none\"===(this.arraydef.columnlines||\"none\")&&\"none\"===(this.arraydef.rowlines||\"none\")||d.default.setAttribute(e,\"data-padding\",0)),(this.getProperty(\"open\")||this.getProperty(\"close\"))&&(e=h.default.fenced(this.factory.configuration,this.getProperty(\"open\"),e,this.getProperty(\"close\"))),e},e.prototype.EndEntry=function(){var t=this.create(\"node\",\"mtd\",this.nodes);this.hfill.length&&(0===this.hfill[0]&&d.default.setAttribute(t,\"columnalign\",\"right\"),this.hfill[this.hfill.length-1]===this.Size()&&d.default.setAttribute(t,\"columnalign\",d.default.getAttribute(t,\"columnalign\")?\"center\":\"left\")),this.row.push(t),this.Clear(),this.hfill=[]},e.prototype.EndRow=function(){var t;this.getProperty(\"isNumbered\")&&3===this.row.length?(this.row.unshift(this.row.pop()),t=this.create(\"node\",\"mlabeledtr\",this.row)):t=this.create(\"node\",\"mtr\",this.row),this.table.push(t),this.row=[]},e.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},e.prototype.checkLines=function(){if(this.arraydef.rowlines){var t=this.arraydef.rowlines.split(/ /);t.length===this.table.length?(this.frame.push(\"bottom\"),t.pop(),this.arraydef.rowlines=t.join(\" \")):t.length<this.table.length-1&&(this.arraydef.rowlines+=\" none\")}if(this.getProperty(\"rowspacing\")){for(var e=this.arraydef.rowspacing.split(/ /);e.length<this.table.length;)e.push(this.getProperty(\"rowspacing\")+\"em\");this.arraydef.rowspacing=e.join(\" \")}},e.prototype.addRowSpacing=function(t){if(this.arraydef.rowspacing){var e=this.arraydef.rowspacing.split(/ /);if(!this.getProperty(\"rowspacing\")){var r=h.default.dimen2em(e[0]);this.setProperty(\"rowspacing\",r)}for(var n=this.getProperty(\"rowspacing\");e.length<this.table.length;)e.push(h.default.Em(n));e[this.table.length-1]=h.default.Em(Math.max(0,n+h.default.dimen2em(t))),this.arraydef.rowspacing=e.join(\" \")}},e}(y.BaseItem);r.ArrayItem=N;var _=function(t){function e(e){for(var r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];var i=t.call(this,e)||this;return i.maxrow=0,i.factory.configuration.tags.start(r[0],r[2],r[1]),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"eqnarray\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.row.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create(\"node\",\"mtd\",this.nodes);this.row.push(t),this.Clear()},e.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t=\"mtr\",e=this.factory.configuration.tags.getTag();e&&(this.row=[e].concat(this.row),t=\"mlabeledtr\"),this.factory.configuration.tags.clearTag();var r=this.create(\"node\",t,this.row);this.table.push(r),this.row=[]},e.prototype.EndTable=function(){t.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray(\"columnalign\",this.maxrow),this.extendArray(\"columnwidth\",this.maxrow),this.extendArray(\"columnspacing\",this.maxrow-1)},e.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ 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-       "      558: function _(t,r,o,e,i){var n,a=this&&this.__extends||(n=function(t,r){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},n(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),s=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var e,i,n=o.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(e=n.next()).done;)a.push(e.value)}catch(t){i={error:t}}finally{try{e&&!e.done&&(o=n.return)&&o.call(n)}finally{if(i)throw i.error}}return a};e();var h=t(521),p=t(522),l=t(523),c=t(559),u=t(560),d=function(t){function r(r){void 0===r&&(r={});var o=this,e=s(p.separateOptions(r,c.FindMathML.OPTIONS,u.MathMLCompile.OPTIONS),3),i=e[0],n=e[1],a=e[2];return(o=t.call(this,i)||this).findMathML=o.options.FindMathML||new c.FindMathML(n),o.mathml=o.options.MathMLCompile||new u.MathMLCompile(a),o.mmlFilters=new l.FunctionList,o}return a(r,t),r.prototype.setAdaptor=function(r){t.prototype.setAdaptor.call(this,r),this.findMathML.adaptor=r,this.mathml.adaptor=r},r.prototype.setMmlFactory=function(r){t.prototype.setMmlFactory.call(this,r),this.mathml.setMmlFactory(r)},Object.defineProperty(r.prototype,\"processStrings\",{get:function(){return!1},enumerable:!1,configurable:!0}),r.prototype.compile=function(t,r){var o=t.start.node;if(!o||!t.end.node||this.options.forceReparse||\"#text\"===this.adaptor.kind(o)){var e=this.executeFilters(this.preFilters,t,r,t.math||\"<math></math>\"),i=this.checkForErrors(this.adaptor.parse(e,\"text/\"+this.options.parseAs)),n=this.adaptor.body(i);1!==this.adaptor.childNodes(n).length&&this.error(\"MathML must consist of a single element\"),o=this.adaptor.remove(this.adaptor.firstChild(n)),\"math\"!==this.adaptor.kind(o).replace(/^[a-z]+:/,\"\")&&this.error(\"MathML must be formed by a <math> element, not <\"+this.adaptor.kind(o)+\">\")}return o=this.executeFilters(this.mmlFilters,t,r,o),this.executeFilters(this.postFilters,t,r,this.mathml.compile(o))},r.prototype.checkForErrors=function(t){var r=this.adaptor.tags(this.adaptor.body(t),\"parsererror\")[0];return r&&(\"\"===this.adaptor.textContent(r)&&this.error(\"Error processing MathML\"),this.options.parseError.call(this,r)),t},r.prototype.error=function(t){throw new Error(t)},r.prototype.findMath=function(t){return this.findMathML.findMath(t)},r.NAME=\"MathML\",r.OPTIONS=p.defaultOptions({parseAs:\"html\",forceReparse:!1,FindMathML:null,MathMLCompile:null,parseError:function(t){this.error(this.adaptor.textContent(t).replace(/\\n.*/g,\"\"))}},h.AbstractInputJax.OPTIONS),r}(h.AbstractInputJax);o.MathML=d},\n",
-       "      559: function _(t,r,o,n,e){var a,i=this&&this.__extends||(a=function(t,r){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},a(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}a(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,o=r&&t[r],n=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var d=t(525),f=\"http://www.w3.org/1998/Math/MathML\",h=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return i(r,t),r.prototype.findMath=function(t){var r=new Set;this.findMathNodes(t,r),this.findMathPrefixed(t,r);var o=this.adaptor.root(this.adaptor.document);return\"html\"===this.adaptor.kind(o)&&0===r.size&&this.findMathNS(t,r),this.processMath(r)},r.prototype.findMathNodes=function(t,r){var o,n;try{for(var e=l(this.adaptor.tags(t,\"math\")),a=e.next();!a.done;a=e.next()){var i=a.value;r.add(i)}}catch(t){o={error:t}}finally{try{a&&!a.done&&(n=e.return)&&n.call(e)}finally{if(o)throw o.error}}},r.prototype.findMathPrefixed=function(t,r){var o,n,e,a,i=this.adaptor.root(this.adaptor.document);try{for(var d=l(this.adaptor.allAttributes(i)),h=d.next();!h.done;h=d.next()){var s=h.value;if(\"xmlns:\"===s.name.substr(0,6)&&s.value===f){var u=s.name.substr(6);try{for(var c=(e=void 0,l(this.adaptor.tags(t,u+\":math\"))),p=c.next();!p.done;p=c.next()){var y=p.value;r.add(y)}}catch(t){e={error:t}}finally{try{p&&!p.done&&(a=c.return)&&a.call(c)}finally{if(e)throw e.error}}}}}catch(t){o={error:t}}finally{try{h&&!h.done&&(n=d.return)&&n.call(d)}finally{if(o)throw o.error}}},r.prototype.findMathNS=function(t,r){var o,n;try{for(var e=l(this.adaptor.tags(t,\"math\",f)),a=e.next();!a.done;a=e.next()){var i=a.value;r.add(i)}}catch(t){o={error:t}}finally{try{a&&!a.done&&(n=e.return)&&n.call(e)}finally{if(o)throw o.error}}},r.prototype.processMath=function(t){var r,o,n=[];try{for(var e=l(Array.from(t)),a=e.next();!a.done;a=e.next()){var i=a.value,d=\"block\"===this.adaptor.getAttribute(i,\"display\")||\"display\"===this.adaptor.getAttribute(i,\"mode\"),f={node:i,n:0,delim:\"\"},h={node:i,n:0,delim:\"\"};n.push({math:this.adaptor.outerHTML(i),start:f,end:h,display:d})}}catch(t){r={error:t}}finally{try{a&&!a.done&&(o=e.return)&&o.call(e)}finally{if(r)throw r.error}}return n},r.OPTIONS={},r}(d.AbstractFindMath);o.FindMathML=h},\n",
-       "      560: function _(t,e,r,a,i){var o=this&&this.__assign||function(){return o=Object.assign||function(t){for(var e,r=1,a=arguments.length;r<a;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},o.apply(this,arguments)},s=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],a=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&a>=t.length&&(t=void 0),{value:t&&t[a++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};a();var n=t(529),l=t(522),c=t(538),h=function(){function t(t){void 0===t&&(t={});var e=this.constructor;this.options=l.userOptions(l.defaultOptions({},e.OPTIONS),t)}return t.prototype.setMmlFactory=function(t){this.factory=t},t.prototype.compile=function(t){var e=this.makeNode(t);return e.verifyTree(this.options.verify),e.setInheritedAttributes({},!1,0,!1),e.walkTree(this.markMrows),e},t.prototype.makeNode=function(t){var e,r,a=this.adaptor,i=!1,o=a.kind(t).replace(/^.*:/,\"\"),l=a.getAttribute(t,\"data-mjx-texclass\")||\"\";l&&(l=this.filterAttribute(\"data-mjx-texclass\",l)||\"\");var c=l&&\"mrow\"===o?\"TeXAtom\":o;try{for(var h=s(this.filterClassList(a.allClasses(t))),d=h.next();!d.done;d=h.next()){var u=d.value;u.match(/^MJX-TeXAtom-/)?(l=u.substr(12),c=\"TeXAtom\"):\"MJX-fixedlimits\"===u&&(i=!0)}}catch(t){e={error:t}}finally{try{d&&!d.done&&(r=h.return)&&r.call(h)}finally{if(e)throw e.error}}this.factory.getNodeClass(c)||this.error('Unknown node type \"'+c+'\"');var p=this.factory.create(c);return\"TeXAtom\"!==c||\"OP\"!==l||i||(p.setProperty(\"movesupsub\",!0),p.attributes.setInherited(\"movablelimits\",!0)),l&&(p.texClass=n.TEXCLASS[l],p.setProperty(\"texClass\",p.texClass)),this.addAttributes(p,t),this.checkClass(p,t),this.addChildren(p,t),p},t.prototype.addAttributes=function(t,e){var r,a,i=!1;try{for(var o=s(this.adaptor.allAttributes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=l.name,h=this.filterAttribute(c,l.value);if(null!==h&&\"xmlns\"!==c)if(\"data-mjx-\"===c.substr(0,9))\"data-mjx-alternate\"===c?t.setProperty(\"variantForm\",!0):\"data-mjx-variant\"===c?(t.attributes.set(\"mathvariant\",h),i=!0):\"data-mjx-smallmatrix\"===c?(t.setProperty(\"scriptlevel\",1),t.setProperty(\"useHeight\",!1)):\"data-mjx-accent\"===c?t.setProperty(\"mathaccent\",\"true\"===h):\"data-mjx-auto-op\"===c&&t.setProperty(\"autoOP\",\"true\"===h);else if(\"class\"!==c){var d=h.toLowerCase();\"true\"===d||\"false\"===d?t.attributes.set(c,\"true\"===d):i&&\"mathvariant\"===c||t.attributes.set(c,h)}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}},t.prototype.filterAttribute=function(t,e){return e},t.prototype.filterClassList=function(t){return t},t.prototype.addChildren=function(t,e){var r,a;if(0!==t.arity){var i=this.adaptor;try{for(var o=s(i.childNodes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=i.kind(l);if(\"#comment\"!==c)if(\"#text\"===c)this.addText(t,l);else if(t.isKind(\"annotation-xml\"))t.appendChild(this.factory.create(\"XML\").setXML(l,i));else{var h=t.appendChild(this.makeNode(l));0===h.arity&&i.childNodes(l).length&&(this.options.fixMisplacedChildren?this.addChildren(t,l):h.mError(\"There should not be children for \"+h.kind+\" nodes\",this.options.verify,!0))}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}}},t.prototype.addText=function(t,e){var r=this.adaptor.value(e);(t.isToken||t.getProperty(\"isChars\"))&&t.arity?(t.isToken&&(r=c.translate(r),r=this.trimSpace(r)),t.appendChild(this.factory.create(\"text\").setText(r))):r.match(/\\S/)&&this.error('Unexpected text node \"'+r+'\"')},t.prototype.checkClass=function(t,e){var r,a,i=[];try{for(var o=s(this.filterClassList(this.adaptor.allClasses(e))),n=o.next();!n.done;n=o.next()){var l=n.value;\"MJX-\"===l.substr(0,4)?\"MJX-variant\"===l?t.setProperty(\"variantForm\",!0):\"MJX-TeXAtom\"!==l.substr(0,11)&&t.attributes.set(\"mathvariant\",this.fixCalligraphic(l.substr(3))):i.push(l)}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}i.length&&t.attributes.set(\"class\",i.join(\" \"))},t.prototype.fixCalligraphic=function(t){return t.replace(/caligraphic/,\"calligraphic\")},t.prototype.markMrows=function(t){if(t.isKind(\"mrow\")&&!t.isInferred&&t.childNodes.length>=2){var e=t.childNodes[0],r=t.childNodes[t.childNodes.length-1];e.isKind(\"mo\")&&e.attributes.get(\"fence\")&&e.attributes.get(\"stretchy\")&&r.isKind(\"mo\")&&r.attributes.get(\"fence\")&&r.attributes.get(\"stretchy\")&&(e.childNodes.length&&t.setProperty(\"open\",e.getText()),r.childNodes.length&&t.setProperty(\"close\",r.getText()))}},t.prototype.trimSpace=function(t){return t.replace(/[\\t\\n\\r]/g,\" \").replace(/^ +/,\"\").replace(/ +$/,\"\").replace(/  +/g,\" \")},t.prototype.error=function(t){throw new Error(t)},t.OPTIONS={MmlFactory:null,fixMisplacedChildren:!0,verify:o({},n.AbstractMmlNode.verifyDefaults),translateEntities:!0},t}();r.MathMLCompile=h},\n",
-       "      561: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,i=1,o=arguments.length;i<o;i++)for(var n in e=arguments[i])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},a.apply(this,arguments)},h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,n,r=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=r.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(i=r.return)&&i.call(r)}finally{if(n)throw n.error}}return s};o();var c=t(562),l=t(566),p=t(657),f=t(709),u=t(526),d=t(556);i.SVGNS=\"http://www.w3.org/2000/svg\",i.XLINKNS=\"http://www.w3.org/1999/xlink\";var y=function(t){function e(e){void 0===e&&(e=null);var i=t.call(this,e,l.SVGWrapperFactory,p.TeXFont)||this;return i.minwidth=0,i.shift=0,i.container=null,i.svgStyles=null,i.fontCache=new f.FontCache(i),i}return s(e,t),e.prototype.initialize=function(){\"global\"===this.options.fontCache&&this.fontCache.clearCache()},e.prototype.clearFontCache=function(){this.fontCache.clearCache()},e.prototype.reset=function(){this.clearFontCache()},e.prototype.setScale=function(t){1!==this.options.scale&&this.adaptor.setStyle(t,\"fontSize\",d.percent(this.options.scale))},e.prototype.escaped=function(t,e){return this.setDocument(e),this.html(\"span\",{},[this.text(t.math)])},e.prototype.styleSheet=function(i){if(this.svgStyles)return this.svgStyles;var o=this.svgStyles=t.prototype.styleSheet.call(this,i);return this.adaptor.setAttribute(o,\"id\",e.STYLESHEETID),o},e.prototype.pageElements=function(t){return\"global\"!==this.options.fontCache||this.findCache(t)?null:this.svg(\"svg\",{id:e.FONTCACHEID,style:{display:\"none\"}},[this.fontCache.getCache()])},e.prototype.findCache=function(t){for(var i=this.adaptor,o=i.tags(i.body(t.document),\"svg\"),n=o.length-1;n>=0;n--)if(this.adaptor.getAttribute(o[n],\"id\")===e.FONTCACHEID)return!0;return!1},e.prototype.processMath=function(t,e){var i=this.container;this.container=e;var o=this.factory.wrap(t),n=h(this.createRoot(o),2),r=n[0],s=n[1];this.typesetSVG(o,r,s),this.container=i},e.prototype.createRoot=function(t){var e=t.getBBox(),o=e.w,n=e.h,r=e.d,s=e.pwidth,a=t.metrics.em/1e3,h=Math.max(o,a),c=Math.max(n+r,a),l=this.svg(\"g\",{stroke:\"currentColor\",fill:\"currentColor\",\"stroke-width\":0,transform:\"scale(1,-1)\"}),p=this.adaptor,f=p.append(this.container,this.svg(\"svg\",{xmlns:i.SVGNS,width:this.ex(h),height:this.ex(c),role:\"img\",focusable:!1,style:{\"vertical-align\":this.ex(-r)},viewBox:[0,this.fixed(1e3*-n,1),this.fixed(1e3*h,1),this.fixed(1e3*c,1)].join(\" \")},[l]));if(.001===h&&(p.setAttribute(f,\"preserveAspectRatio\",\"xMidYMid slice\"),o<0&&p.setStyle(this.container,\"margin-right\",this.ex(o))),s){p.setStyle(f,\"min-width\",this.ex(h)),p.setAttribute(f,\"width\",s),p.removeAttribute(f,\"viewBox\");var u=this.fixed(t.metrics.ex/(1e3*this.font.params.x_height),6);p.setAttribute(l,\"transform\",\"scale(\"+u+\",-\"+u+\") translate(0, \"+this.fixed(1e3*-n,1)+\")\")}return\"none\"!==this.options.fontCache&&p.setAttribute(f,\"xmlns:xlink\",i.XLINKNS),[f,l]},e.prototype.typesetSVG=function(t,e,i){var o=this.adaptor;if(this.minwidth=this.shift=0,\"local\"===this.options.fontCache&&(this.fontCache.clearCache(),this.fontCache.useLocalID(this.options.localID),o.insert(this.fontCache.getCache(),i)),t.toSVG(i),this.fontCache.clearLocalID(),this.minwidth)o.setStyle(e,\"minWidth\",this.ex(this.minwidth)),o.setStyle(this.container,\"minWidth\",this.ex(this.minwidth));else if(this.shift){var n=o.getAttribute(this.container,\"justify\")||\"center\";this.setIndent(e,n,this.shift)}},e.prototype.setIndent=function(t,e,i){\"center\"!==e&&\"left\"!==e||this.adaptor.setStyle(t,\"margin-left\",this.ex(i)),\"center\"!==e&&\"right\"!==e||this.adaptor.setStyle(t,\"margin-right\",this.ex(-i))},e.prototype.ex=function(t){return t/=this.font.params.x_height,Math.abs(t)<.001?\"0\":t.toFixed(3).replace(/\\.?0+$/,\"\")+\"ex\"},e.prototype.svg=function(t,e,o){return void 0===e&&(e={}),void 0===o&&(o=[]),this.html(t,e,o,i.SVGNS)},e.prototype.unknownText=function(t,e){var i=this.math.metrics,o=this.font.params.x_height/i.ex*i.em*1e3,n=this.svg(\"text\",{\"data-variant\":e,transform:\"scale(1,-1)\",\"font-size\":this.fixed(o,1)+\"px\"},[this.text(t)]),r=this.adaptor;if(\"-explicitFont\"!==e){var s=u.unicodeChars(t);if(1!==s.length||s[0]<119808||s[0]>120831){var a=h(this.font.getCssFont(e),3),c=a[0],l=a[1],p=a[2];r.setAttribute(n,\"font-family\",c),l&&r.setAttribute(n,\"font-style\",\"italic\"),p&&r.setAttribute(n,\"font-weight\",\"bold\")}}return n},e.prototype.measureTextNode=function(t){var e=this.adaptor;t=e.clone(t),e.removeAttribute(t,\"transform\");var i=this.fixed(1e3*this.font.params.x_height,1),o=this.svg(\"svg\",{position:\"absolute\",visibility:\"hidden\",width:\"1ex\",height:\"1ex\",viewBox:[0,0,i,i].join(\" \")},[t]);e.append(e.body(e.document),o);var n=e.nodeSize(t,1e3,!0)[0];return e.remove(o),{w:n,h:.75,d:.2}},e.NAME=\"SVG\",e.OPTIONS=a(a({},c.CommonOutputJax.OPTIONS),{internalSpeechTitles:!0,titleID:0,fontCache:\"local\",localID:null}),e.commonStyles={'mjx-container[jax=\"SVG\"]':{direction:\"ltr\"},'mjx-container[jax=\"SVG\"] > svg':{overflow:\"visible\",\"min-height\":\"1px\",\"min-width\":\"1px\"},'mjx-container[jax=\"SVG\"] > svg a':{fill:\"blue\",stroke:\"blue\"}},e.FONTCACHEID=\"MJX-SVG-global-cache\",e.STYLESHEETID=\"MJX-SVG-styles\",e}(c.CommonOutputJax);i.SVG=y},\n",
-       "      562: function _(t,e,o,n,r){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,o=1,n=arguments.length;o<n;o++)for(var r in e=arguments[o])Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r]);return t},a.apply(this,arguments)},l=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,r,i=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(r)throw r.error}}return s},h=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,o=e&&t[e],n=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var c=t(563),p=t(527),y=t(522),u=t(556),d=t(564),f=t(565),m=function(t){function e(e,o,n){void 0===e&&(e=null),void 0===o&&(o=null),void 0===n&&(n=null);var r=this,i=l(y.separateOptions(e,n.OPTIONS),2),s=i[0],a=i[1];return(r=t.call(this,s)||this).factory=r.options.wrapperFactory||new o,r.factory.jax=r,r.cssStyles=r.options.cssStyles||new f.CssStyles,r.font=r.options.font||new n(a),r.unknownCache=new Map,r}return s(e,t),e.prototype.typeset=function(t,e){this.setDocument(e);var o=this.createNode();return this.toDOM(t,o,e),o},e.prototype.createNode=function(){var t=this.constructor.NAME;return this.html(\"mjx-container\",{class:\"MathJax\",jax:t})},e.prototype.setScale=function(t){var e=this.math.metrics.scale*this.options.scale;1!==e&&this.adaptor.setStyle(t,\"fontSize\",u.percent(e))},e.prototype.toDOM=function(t,e,o){void 0===o&&(o=null),this.setDocument(o),this.math=t,this.pxPerEm=t.metrics.ex/this.font.params.x_height,t.root.setTeXclass(null),this.setScale(e),this.nodeMap=new Map,this.container=e,this.processMath(t.root,e),this.nodeMap=null,this.executeFilters(this.postFilters,t,o,e)},e.prototype.getBBox=function(t,e){this.setDocument(e),this.math=t,t.root.setTeXclass(null),this.nodeMap=new Map;var o=this.factory.wrap(t.root).getBBox();return this.nodeMap=null,o},e.prototype.getMetrics=function(t){var e,o;this.setDocument(t);var n=this.adaptor,r=this.getMetricMaps(t);try{for(var i=h(t.math),s=i.next();!s.done;s=i.next()){var a=s.value,l=n.parent(a.start.node);if(a.state()<p.STATE.METRICS&&l){var c=r[a.display?1:0].get(l),y=c.em,u=c.ex,d=c.containerWidth,f=c.lineWidth,m=c.scale,x=c.family;a.setMetrics(y,u,d,f,m),this.options.mtextInheritFont&&(a.outputData.mtextFamily=x),this.options.merrorInheritFont&&(a.outputData.merrorFamily=x),a.state(p.STATE.METRICS)}}}catch(t){e={error:t}}finally{try{s&&!s.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}},e.prototype.getMetricsFor=function(t,e){var o=this.options.mtextInheritFont||this.options.merrorInheritFont,n=this.getTestElement(t,e),r=this.measureMetrics(n,o);return this.adaptor.remove(n),r},e.prototype.getMetricMaps=function(t){var e,o,n,r,i,s,a,l,c,y,u=this.adaptor,d=[new Map,new Map];try{for(var f=h(t.math),m=f.next();!m.done;m=f.next()){var x=m.value;if((C=u.parent(x.start.node))&&x.state()<p.STATE.METRICS){var v=d[x.display?1:0];v.has(C)||v.set(C,this.getTestElement(C,x.display))}}}catch(t){e={error:t}}finally{try{m&&!m.done&&(o=f.return)&&o.call(f)}finally{if(e)throw e.error}}var S=this.options.mtextInheritFont||this.options.merrorInheritFont,g=[new Map,new Map];try{for(var w=h(g.keys()),b=w.next();!b.done;b=w.next()){var M=b.value;try{for(var F=(i=void 0,h(d[M].keys())),T=F.next();!T.done;T=F.next()){var C=T.value;g[M].set(C,this.measureMetrics(d[M].get(C),S))}}catch(t){i={error:t}}finally{try{T&&!T.done&&(s=F.return)&&s.call(F)}finally{if(i)throw i.error}}}}catch(t){n={error:t}}finally{try{b&&!b.done&&(r=w.return)&&r.call(w)}finally{if(n)throw n.error}}try{for(var O=h(g.keys()),I=O.next();!I.done;I=O.next()){M=I.value;try{for(var _=(c=void 0,h(d[M].values())),j=_.next();!j.done;j=_.next()){C=j.value;u.remove(C)}}catch(t){c={error:t}}finally{try{j&&!j.done&&(y=_.return)&&y.call(_)}finally{if(c)throw c.error}}}}catch(t){a={error:t}}finally{try{I&&!I.done&&(l=O.return)&&l.call(O)}finally{if(a)throw a.error}}return g},e.prototype.getTestElement=function(t,e){var o=this.adaptor;if(!this.testInline){this.testInline=this.html(\"mjx-test\",{style:{display:\"inline-block\",width:\"100%\",\"font-style\":\"normal\",\"font-weight\":\"normal\",\"font-size\":\"100%\",\"font-size-adjust\":\"none\",\"text-indent\":0,\"text-transform\":\"none\",\"letter-spacing\":\"normal\",\"word-spacing\":\"normal\",overflow:\"hidden\",height:\"1px\",\"margin-right\":\"-1px\"}},[this.html(\"mjx-left-box\",{style:{display:\"inline-block\",width:0,float:\"left\"}}),this.html(\"mjx-ex-box\",{style:{position:\"absolute\",overflow:\"hidden\",width:\"1px\",height:\"60ex\"}}),this.html(\"mjx-right-box\",{style:{display:\"inline-block\",width:0,float:\"right\"}})]),this.testDisplay=o.clone(this.testInline),o.setStyle(this.testDisplay,\"display\",\"table\"),o.setStyle(this.testDisplay,\"margin-right\",\"\"),o.setStyle(o.firstChild(this.testDisplay),\"display\",\"none\");var n=o.lastChild(this.testDisplay);o.setStyle(n,\"display\",\"table-cell\"),o.setStyle(n,\"width\",\"10000em\"),o.setStyle(n,\"float\",\"\")}return o.append(t,o.clone(e?this.testDisplay:this.testInline))},e.prototype.measureMetrics=function(t,e){var o=this.adaptor,n=e?o.fontFamily(t):\"\",r=o.fontSize(t),i=l(o.nodeSize(o.childNode(t,1)),2),s=i[0],a=i[1],h=s?a/60:r*this.options.exFactor;return{em:r,ex:h,containerWidth:s?\"table\"===o.getStyle(t,\"display\")?o.nodeSize(o.lastChild(t))[0]-1:o.nodeBBox(o.lastChild(t)).left-o.nodeBBox(o.firstChild(t)).left-2:1e6,lineWidth:1e6,scale:Math.max(this.options.minScale,this.options.matchFontHeight?h/this.font.params.x_height/r:1),family:n}},e.prototype.styleSheet=function(t){var e,o;if(this.setDocument(t),this.cssStyles.clear(),this.cssStyles.addStyles(this.constructor.commonStyles),\"getStyles\"in t)try{for(var n=h(t.getStyles()),r=n.next();!r.done;r=n.next()){var i=r.value;this.cssStyles.addStyles(i)}}catch(t){e={error:t}}finally{try{r&&!r.done&&(o=n.return)&&o.call(n)}finally{if(e)throw e.error}}return this.addWrapperStyles(this.cssStyles),this.addFontStyles(this.cssStyles),this.html(\"style\",{id:\"MJX-styles\"},[this.text(\"\\n\"+this.cssStyles.cssText+\"\\n\")])},e.prototype.addFontStyles=function(t){t.addStyles(this.font.styles)},e.prototype.addWrapperStyles=function(t){var e,o;try{for(var n=h(this.factory.getKinds()),r=n.next();!r.done;r=n.next()){var i=r.value;this.addClassStyles(this.factory.getNodeClass(i),t)}}catch(t){e={error:t}}finally{try{r&&!r.done&&(o=n.return)&&o.call(n)}finally{if(e)throw e.error}}},e.prototype.addClassStyles=function(t,e){e.addStyles(t.styles)},e.prototype.setDocument=function(t){t&&(this.document=t,this.adaptor.document=t.document)},e.prototype.html=function(t,e,o,n){return void 0===e&&(e={}),void 0===o&&(o=[]),this.adaptor.node(t,e,o,n)},e.prototype.text=function(t){return this.adaptor.text(t)},e.prototype.fixed=function(t,e){return void 0===e&&(e=3),Math.abs(t)<6e-4?\"0\":t.toFixed(e).replace(/\\.?0+$/,\"\")},e.prototype.measureText=function(t,e,o){void 0===o&&(o=[\"\",!1,!1]);var n=this.unknownText(t,e);if(\"-explicitFont\"===e){var r=this.cssFontStyles(o);this.adaptor.setAttributes(n,{style:r})}return this.measureTextNodeWithCache(n,t,e,o)},e.prototype.measureTextNodeWithCache=function(t,e,o,n){void 0===n&&(n=[\"\",!1,!1]),\"-explicitFont\"===o&&(o=[n[0],n[1]?\"T\":\"F\",n[2]?\"T\":\"F\",\"\"].join(\"-\")),this.unknownCache.has(o)||this.unknownCache.set(o,new Map);var r=this.unknownCache.get(o),i=r.get(e);if(i)return i;var s=this.measureTextNode(t);return r.set(e,s),s},e.prototype.measureXMLnode=function(t){var e=this.adaptor,o=this.html(\"mjx-xml-block\",{style:{display:\"inline-block\"}},[e.clone(t)]),n=this.html(\"mjx-baseline\",{style:{display:\"inline-block\",width:0,height:0}}),r=this.html(\"mjx-measure-xml\",{style:{position:\"absolute\",display:\"inline-block\",\"font-family\":\"initial\",\"line-height\":\"normal\"}},[n,o]);e.append(e.parent(this.math.start.node),this.container),e.append(this.container,r);var i=this.math.metrics.em*this.math.metrics.scale,s=e.nodeBBox(o),a=s.left,l=s.right,h=s.bottom,c=s.top,p=(l-a)/i,y=(e.nodeBBox(n).top-c)/i,u=(h-c)/i-y;return e.remove(this.container),e.remove(r),{w:p,h:y,d:u}},e.prototype.cssFontStyles=function(t,e){void 0===e&&(e={});var o=l(t,3),n=o[0],r=o[1],i=o[2];return e[\"font-family\"]=this.font.getFamily(n),r&&(e[\"font-style\"]=\"italic\"),i&&(e[\"font-weight\"]=\"bold\"),e},e.prototype.getFontData=function(t){return t||(t=new d.Styles),[this.font.getFamily(t.get(\"font-family\")),\"italic\"===t.get(\"font-style\"),\"bold\"===t.get(\"font-weight\")]},e.NAME=\"Common\",e.OPTIONS=a(a({},c.AbstractOutputJax.OPTIONS),{scale:1,minScale:.5,mtextInheritFont:!1,merrorInheritFont:!1,mtextFont:\"\",merrorFont:\"serif\",mathmlSpacing:!1,skipAttributes:{},exFactor:.5,displayAlign:\"center\",displayIndent:\"0\",wrapperFactory:null,font:null,cssStyles:null}),e.commonStyles={},e}(c.AbstractOutputJax);o.CommonOutputJax=m},\n",
-       "      563: function _(t,e,n,o,r){o();var i=t(522),u=t(523),p=function(){function t(t){void 0===t&&(t={}),this.adaptor=null;var e=this.constructor;this.options=i.userOptions(i.defaultOptions({},e.OPTIONS),t),this.postFilters=new u.FunctionList}return Object.defineProperty(t.prototype,\"name\",{get:function(){return this.constructor.NAME},enumerable:!1,configurable:!0}),t.prototype.setAdaptor=function(t){this.adaptor=t},t.prototype.initialize=function(){},t.prototype.reset=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e]},t.prototype.getMetrics=function(t){},t.prototype.styleSheet=function(t){return null},t.prototype.pageElements=function(t){return null},t.prototype.executeFilters=function(t,e,n,o){var r={math:e,document:n,data:o};return t.execute(r),r.data},t.NAME=\"generic\",t.OPTIONS={},t}();n.AbstractOutputJax=p},\n",
-       "      564: function _(t,e,r,n,i){var l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},o=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,i,l=r.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(n=l.next()).done;)o.push(n.value)}catch(t){i={error:t}}finally{try{n&&!n.done&&(r=l.return)&&r.call(l)}finally{if(i)throw i.error}}return o},a=this&&this.__spreadArray||function(t,e){for(var r=0,n=e.length,i=t.length;r<n;r++,i++)t[i]=e[r];return t};n();var s=[\"top\",\"right\",\"bottom\",\"left\"],c=[\"width\",\"style\",\"color\"];function h(t){for(var e=t.split(/((?:'[^']*'|\"[^\"]*\"|,[\\s\\n]|[^\\s\\n])*)/g),r=[];e.length>1;)e.shift(),r.push(e.shift());return r}function y(t){var e,r,n=h(this.styles[t]);0===n.length&&n.push(\"\"),1===n.length&&n.push(n[0]),2===n.length&&n.push(n[0]),3===n.length&&n.push(n[1]);try{for(var i=l(N.connect[t].children),o=i.next();!o.done;o=i.next()){var a=o.value;this.setStyle(this.childName(t,a),n.shift())}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(e)throw e.error}}}function d(t){var e,r,n=N.connect[t].children,i=[];try{for(var o=l(n),a=o.next();!a.done;a=o.next()){var s=a.value,c=this.styles[t+\"-\"+s];if(!c)return void delete this.styles[t];i.push(c)}}catch(t){e={error:t}}finally{try{a&&!a.done&&(r=o.return)&&r.call(o)}finally{if(e)throw e.error}}i[3]===i[1]&&(i.pop(),i[2]===i[0]&&(i.pop(),i[1]===i[0]&&i.pop())),this.styles[t]=i.join(\" \")}function u(t){var e,r;try{for(var n=l(N.connect[t].children),i=n.next();!i.done;i=n.next()){var 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RegExp(\"^(?:\"+[\"normal|none\",\"inherit|initial|unset\",\"common-ligatures|no-common-ligatures\",\"discretionary-ligatures|no-discretionary-ligatures\",\"historical-ligatures|no-historical-ligatures\",\"contextual|no-contextual\",\"(?:stylistic|character-variant|swash|ornaments|annotation)\\\\([^)]*\\\\)\",\"small-caps|all-small-caps|petite-caps|all-petite-caps|unicase|titling-caps\",\"lining-nums|oldstyle-nums|proportional-nums|tabular-nums\",\"diagonal-fractions|stacked-fractions\",\"ordinal|slashed-zero\",\"jis78|jis83|jis90|jis04|simplified|traditional\",\"full-width|proportional-width\",\"ruby\"].join(\"|\")+\")$\"),weight:/^(?:normal|bold|bolder|lighter|[1-9]00|inherit|initial|unset)$/,stretch:new RegExp(\"^(?:\"+[\"normal\",\"(?:(?:ultra|extra|semi)-)?condensed\",\"(?:(?:semi|extra|ulta)-)?expanded\",\"inherit|initial|unset\"].join(\"|\")+\")$\"),size:new 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a=o.value,s=this.childName(t,a);if(Array.isArray(e[a])){var c=e[a];c.length&&(this.styles[s]=c.join(\" \"))}else\"\"!==e[a]&&(this.styles[s]=e[a])}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}}(t,s),delete this.styles[t]}function w(t){}var N=function(){function t(t){void 0===t&&(t=\"\"),this.parse(t)}return Object.defineProperty(t.prototype,\"cssText\",{get:function(){var t,e,r=[];try{for(var n=l(Object.keys(this.styles)),i=n.next();!i.done;i=n.next()){var o=i.value,a=this.parentName(o);this.styles[a]||r.push(o+\": \"+this.styles[o])}}catch(e){t={error:e}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}return r.join(\"; \")},enumerable:!1,configurable:!0}),t.prototype.set=function(e,r){for(e=this.normalizeName(e),this.setStyle(e,r),t.connect[e]&&!t.connect[e].combine&&(this.combineChildren(e),delete this.styles[e]);e.match(/-/)&&(e=this.parentName(e),t.connect[e]);)t.connect[e].combine.call(this,e)},t.prototype.get=function(t){return t=this.normalizeName(t),this.styles.hasOwnProperty(t)?this.styles[t]:\"\"},t.prototype.setStyle=function(e,r){this.styles[e]=r,t.connect[e]&&t.connect[e].children&&t.connect[e].split.call(this,e),\"\"===r&&delete this.styles[e]},t.prototype.combineChildren=function(e){var r,n,i=this.parentName(e);try{for(var o=l(t.connect[e].children),a=o.next();!a.done;a=o.next()){var s=a.value,c=this.childName(i,s);t.connect[c].combine.call(this,c)}}catch(t){r={error:t}}finally{try{a&&!a.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}},t.prototype.parentName=function(t){var e=t.replace(/-[^-]*$/,\"\");return t===e?\"\":e},t.prototype.childName=function(e,r){return r.match(/-/)?r:(t.connect[e]&&!t.connect[e].combine&&(r+=e.replace(/.*-/,\"-\"),e=this.parentName(e)),e+\"-\"+r)},t.prototype.normalizeName=function(t){return t.replace(/[A-Z]/g,(function(t){return\"-\"+t.toLowerCase()}))},t.prototype.parse=function(t){void 0===t&&(t=\"\");var e=this.constructor.pattern;this.styles={};for(var r=t.replace(e.comment,\"\").split(e.style);r.length>1;){var n=o(r.splice(0,3),3),i=n[0],l=n[1],a=n[2];if(i.match(/[^\\s\\n]/))return;this.set(l,a)}},t.pattern={style:/([-a-z]+)[\\s\\n]*:[\\s\\n]*((?:'[^']*'|\"[^\"]*\"|\\n|.)*?)[\\s\\n]*(?:;|$)/g,comment:/\\/\\*[^]*?\\*\\//g},t.connect={padding:{children:s,split:y,combine:d},border:{children:s,split:u,combine:f},\"border-top\":{children:c,split:v,combine:g},\"border-right\":{children:c,split:v,combine:g},\"border-bottom\":{children:c,split:v,combine:g},\"border-left\":{children:c,split:v,combine:g},\"border-width\":{children:s,split:y,combine:null},\"border-style\":{children:s,split:y,combine:null},\"border-color\":{children:s,split:y,combine:null},font:{children:[\"style\",\"variant\",\"weight\",\"stretch\",\"line-height\",\"size\",\"family\"],split:x,combine:w}},t}();r.Styles=N},\n",
-       "      565: function _(t,e,r,n,o){var l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var i=function(){function t(t){void 0===t&&(t=null),this.styles={},this.addStyles(t)}return Object.defineProperty(t.prototype,\"cssText\",{get:function(){return this.getStyleString()},enumerable:!1,configurable:!0}),t.prototype.addStyles=function(t){var e,r;if(t)try{for(var n=l(Object.keys(t)),o=n.next();!o.done;o=n.next()){var i=o.value;this.styles[i]||(this.styles[i]={}),Object.assign(this.styles[i],t[i])}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}},t.prototype.removeStyles=function(){for(var t,e,r=[],n=0;n<arguments.length;n++)r[n]=arguments[n];try{for(var o=l(r),i=o.next();!i.done;i=o.next()){var y=i.value;delete this.styles[y]}}catch(e){t={error:e}}finally{try{i&&!i.done&&(e=o.return)&&e.call(o)}finally{if(t)throw t.error}}},t.prototype.clear=function(){this.styles={}},t.prototype.getStyleString=function(){return this.getStyleRules().join(\"\\n\\n\")},t.prototype.getStyleRules=function(){var t,e,r=Object.keys(this.styles),n=new Array(r.length),o=0;try{for(var i=l(r),y=i.next();!y.done;y=i.next()){var a=y.value;n[o++]=a+\" {\\n\"+this.getStyleDefString(this.styles[a])+\"\\n}\"}}catch(e){t={error:e}}finally{try{y&&!y.done&&(e=i.return)&&e.call(i)}finally{if(t)throw t.error}}return n},t.prototype.getStyleDefString=function(t){var e,r,n=Object.keys(t),o=new Array(n.length),i=0;try{for(var y=l(n),a=y.next();!a.done;a=y.next()){var s=a.value;o[i++]=\"  \"+s+\": \"+t[s]+\";\"}}catch(t){e={error:t}}finally{try{a&&!a.done&&(r=y.return)&&r.call(y)}finally{if(e)throw e.error}}return o.join(\"\\n\")},t}();r.CssStyles=i},\n",
-       "      566: function _(t,r,o,n,e){var p,c=this&&this.__extends||(p=function(t,r){return p=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},p(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}p(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)});n();var u=t(567),a=t(569),i=function(t){function r(){var r=null!==t&&t.apply(this,arguments)||this;return r.jax=null,r}return c(r,t),r.defaultNodes=a.SVGWrappers,r}(u.CommonWrapperFactory);o.SVGWrapperFactory=i},\n",
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t=this.adaptor,e=this.node.attributes,i=e.getExplicit(\"mathcolor\"),r=e.getExplicit(\"color\"),n=e.getExplicit(\"mathbackground\"),o=e.getExplicit(\"background\");if((i||r)&&(t.setAttribute(this.element,\"fill\",i||r),t.setAttribute(this.element,\"stroke\",i||r)),n||o){var a=this.getBBox(),s=a.h,h=a.d,l=a.w,d=this.svg(\"rect\",{fill:n||o,x:0,y:this.fixed(-h),width:this.fixed(l),height:this.fixed(s+h),\"data-bgcolor\":!0}),p=t.firstChild(this.element);p?t.insert(d,p):t.append(this.element,d)}},e.prototype.handleAttributes=function(){var t,i,r,n,o=this.node.attributes,a=o.getAllDefaults(),h=e.skipAttributes;try{for(var l=s(o.getExplicitNames()),d=l.next();!d.done;d=l.next()){var p=d.value;!1!==h[p]&&(p in a||h[p]||this.adaptor.hasAttribute(this.element,p))||this.adaptor.setAttribute(this.element,p,o.getExplicit(p))}}catch(e){t={error:e}}finally{try{d&&!d.done&&(i=l.return)&&i.call(l)}finally{if(t)throw t.error}}if(o.get(\"class\")){var c=o.get(\"class\").trim().split(/ +/);try{for(var 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r=this.removedStyles;r.fontFamily&&(o.family=r.fontFamily),r.fontWeight&&(o.weight=r.fontWeight),r.fontStyle&&(o.style=r.fontStyle)}o.fontfamily&&(o.family=o.fontfamily),o.fontweight&&(o.weight=o.fontweight),o.fontstyle&&(o.style=o.fontstyle),o.weight&&o.weight.match(/^\\d+$/)&&(o.weight=parseInt(o.weight)>600?\"bold\":\"normal\"),o.family?i=this.explicitVariant(o.family,o.weight,o.style):(this.node.getProperty(\"variantForm\")&&(i=\"-tex-variant\"),i=(e.BOLDVARIANTS[o.weight]||{})[i]||i,i=(e.ITALICVARIANTS[o.style]||{})[i]||i)}this.variant=i}},e.prototype.explicitVariant=function(t,e,i){var o=this.styles;return o||(o=this.styles=new u.Styles),o.set(\"fontFamily\",t),e&&o.set(\"fontWeight\",e),i&&o.set(\"fontStyle\",i),\"-explicitFont\"},e.prototype.getScale=function(){var t=1,e=this.parent,i=e?e.bbox.scale:1,o=this.node.attributes,r=Math.min(o.get(\"scriptlevel\"),2),n=o.get(\"fontsize\"),s=this.node.isToken||this.node.isKind(\"mstyle\")?o.get(\"mathsize\"):o.getInherited(\"mathsize\");if(0!==r){t=Math.pow(o.get(\"scriptsizemultiplier\"),r);var a=this.length2em(o.get(\"scriptminsize\"),.8,1);t<a&&(t=a)}this.removedStyles&&this.removedStyles.fontSize&&!n&&(n=this.removedStyles.fontSize),n&&!o.getExplicit(\"mathsize\")&&(s=n),\"1\"!==s&&(t*=this.length2em(s,1,1)),this.bbox.scale=t,this.bbox.rscale=t/i},e.prototype.getSpace=function(){var t=this.isTopEmbellished(),e=this.node.hasSpacingAttributes();this.jax.options.mathmlSpacing||e?t&&this.getMathMLSpacing():this.getTeXSpacing(t,e)},e.prototype.getMathMLSpacing=function(){var t=this.node.coreMO(),e=t.coreParent(),i=e.parent;if(i&&i.isKind(\"mrow\")&&1!==i.childNodes.length){var o=t.attributes,r=o.get(\"scriptlevel\")>0;this.bbox.L=o.isSet(\"lspace\")?Math.max(0,this.length2em(o.get(\"lspace\"))):m(r,t.lspace),this.bbox.R=o.isSet(\"rspace\")?Math.max(0,this.length2em(o.get(\"rspace\"))):m(r,t.rspace);var n=i.childIndex(e);if(0!==n){var s=i.childNodes[n-1];if(s.isEmbellished){var a=this.jax.nodeMap.get(s).getBBox();a.R&&(this.bbox.L=Math.max(0,this.bbox.L-a.R))}}}},e.prototype.getTeXSpacing=function(t,e){if(!e){var i=this.node.texSpacing();i&&(this.bbox.L=this.length2em(i))}if(t||e){var o=this.node.coreMO().attributes;o.isSet(\"lspace\")&&(this.bbox.L=Math.max(0,this.length2em(o.get(\"lspace\")))),o.isSet(\"rspace\")&&(this.bbox.R=Math.max(0,this.length2em(o.get(\"rspace\"))))}},e.prototype.isTopEmbellished=function(){return this.node.isEmbellished&&!(this.node.parent&&this.node.parent.isEmbellished)},e.prototype.core=function(){return this.jax.nodeMap.get(this.node.core())},e.prototype.coreMO=function(){return this.jax.nodeMap.get(this.node.coreMO())},e.prototype.getText=function(){var t,e,i=\"\";if(this.node.isToken)try{for(var o=a(this.node.childNodes),r=o.next();!r.done;r=o.next()){var n=r.value;n instanceof p.TextNode&&(i+=n.getText())}}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=o.return)&&e.call(o)}finally{if(t)throw t.error}}return i},e.prototype.canStretch=function(t){if(this.stretch=b.NOSTRETCH,this.node.isEmbellished){var e=this.core();e&&e.node!==this.node&&e.canStretch(t)&&(this.stretch=e.stretch)}return 0!==this.stretch.dir},e.prototype.getAlignShift=function(){var t,e=(t=this.node.attributes).getList.apply(t,h([],l(p.indentAttributes))),i=e.indentalign,o=e.indentshift,r=e.indentalignfirst,n=e.indentshiftfirst;return\"indentalign\"!==r&&(i=r),\"auto\"===i&&(i=this.jax.options.displayAlign),\"indentshift\"!==n&&(o=n),\"auto\"===o&&(o=this.jax.options.displayIndent,\"right\"!==i||o.match(/^\\s*0[a-z]*\\s*$/)||(o=(\"-\"+o.trim()).replace(/^--/,\"\"))),[i,this.length2em(o,this.metrics.containerWidth)]},e.prototype.getAlignX=function(t,e,i){return\"right\"===i?t-(e.w+e.R)*e.rscale:\"left\"===i?e.L*e.rscale:(t-e.w*e.rscale)/2},e.prototype.getAlignY=function(t,e,i,o,r){return\"top\"===r?t-i:\"bottom\"===r?o-e:\"center\"===r?(t-i-(e-o))/2:0},e.prototype.getWrapWidth=function(t){return this.childNodes[t].getBBox().w},e.prototype.getChildAlign=function(t){return\"left\"},e.prototype.percent=function(t){return d.percent(t)},e.prototype.em=function(t){return d.em(t)},e.prototype.px=function(t,e){return void 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-       "      574: function _(t,r,e,a,i){var n=this&&this.__assign||function(){return n=Object.assign||function(t){for(var r,e=1,a=arguments.length;e<a;e++)for(var i in r=arguments[e])Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i]);return t},n.apply(this,arguments)},s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var a,i,n=e.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(a=n.next()).done;)s.push(a.value)}catch(t){i={error:t}}finally{try{a&&!a.done&&(e=n.return)&&e.call(n)}finally{if(i)throw i.error}}return s},o=this&&this.__spreadArray||function(t,r){for(var e=0,a=r.length,i=t.length;e<a;e++,i++)t[i]=r[e];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],a=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&a>=t.length&&(t=void 0),{value:t&&t[a++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is 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c=o.SmpRemap,u=[null,null,o.SmpRemapGreekU,o.SmpRemapGreekL];try{for(var f=l(o.SmpRanges),p=f.next();!p.done;p=f.next()){var h=s(p.value,3),d=h[0],m=h[1],y=h[2],b=o.VariantSmp[r][d];if(b){for(var v=m;v<=y;v++)if(930!==v){var g=b+v-m;t[v]=this.smpChar(c[g]||g)}if(u[d])try{for(var k=(i=void 0,l(Object.keys(u[d]).map((function(t){return parseInt(t)})))),_=k.next();!_.done;_=k.next()){t[v=_.value]=this.smpChar(b+u[d][v])}}catch(t){i={error:t}}finally{try{_&&!_.done&&(n=k.return)&&n.call(k)}finally{if(i)throw i.error}}}}}catch(t){e={error:t}}finally{try{p&&!p.done&&(a=f.return)&&a.call(f)}finally{if(e)throw e.error}}}\"bold\"===r&&(t[988]=this.smpChar(120778),t[989]=this.smpChar(120779))},t.prototype.smpChar=function(t){return[,,,{smp:t}]},t.prototype.createVariants=function(t){var r,e;try{for(var a=l(t),i=a.next();!i.done;i=a.next()){var n=i.value;this.createVariant(n[0],n[1],n[2])}}catch(t){r={error:t}}finally{try{i&&!i.done&&(e=a.return)&&e.call(a)}finally{if(r)throw 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this.cssFontMap[t]||[\"serif\",!1,!1]},t.prototype.getFamily=function(t){return this.cssFamilyPrefix?this.cssFamilyPrefix+\", 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-       "      576: function _(t,n,o,r,e){var i,c=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r(),o.CommonMathMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return c(n,t),n.prototype.getWrapWidth=function(t){return this.parent?this.getBBox().w:this.metrics.containerWidth/this.jax.pxPerEm},n}(t)}},\n",
-       "      577: function _(t,e,i,n,r){var s,a=this&&this.__extends||(s=function(t,e){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},s(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}s(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var e,i=1,n=arguments.length;i<n;i++)for(var r in e=arguments[i])Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r]);return t},l.apply(this,arguments)};n();var o=t(529),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"math\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(e,i,n,r){\"display\"===this.attributes.get(\"mode\")&&this.attributes.setInherited(\"display\",\"block\"),e=this.addInheritedAttributes(e,this.attributes.getAllAttributes()),i=!!this.attributes.get(\"displaystyle\")||!this.attributes.get(\"displaystyle\")&&\"block\"===this.attributes.get(\"display\"),this.attributes.setInherited(\"displaystyle\",i),n=this.attributes.get(\"scriptlevel\")||this.constructor.defaults.scriptlevel,t.prototype.setChildInheritedAttributes.call(this,e,i,n,r)},e.defaults=l(l({},o.AbstractMmlLayoutNode.defaults),{mathvariant:\"normal\",mathsize:\"normal\",mathcolor:\"\",mathbackground:\"transparent\",dir:\"ltr\",scriptlevel:0,displaystyle:!1,display:\"inline\",maxwidth:\"\",overflow:\"linebreak\",altimg:\"\",\"altimg-width\":\"\",\"altimg-height\":\"\",\"altimg-valign\":\"\",alttext:\"\",cdgroup:\"\",scriptsizemultiplier:1/Math.sqrt(2),scriptminsize:\"8px\",infixlinebreakstyle:\"before\",lineleading:\"1ex\",linebreakmultchar:\"\\u2062\",indentshift:\"auto\",indentalign:\"auto\",indenttarget:\"\",indentalignfirst:\"indentalign\",indentshiftfirst:\"indentshift\",indentalignlast:\"indentalign\",indentshiftlast:\"indentshift\"}),e}(o.AbstractMmlLayoutNode);i.MmlMath=u},\n",
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-       "      579: function _(r,t,e,n,o){var i,l=this&&this.__extends||(i=function(r,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(r,t){r.__proto__=t}||function(r,t){for(var e in t)Object.prototype.hasOwnProperty.call(t,e)&&(r[e]=t[e])},i(r,t)},function(r,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function e(){this.constructor=r}i(r,t),r.prototype=null===t?Object.create(t):(e.prototype=t.prototype,new e)}),a=this&&this.__read||function(r,t){var e=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!e)return r;var n,o,i=e.call(r),l=[];try{for(;(void 0===t||t-- >0)&&!(n=i.next()).done;)l.push(n.value)}catch(r){o={error:r}}finally{try{n&&!n.done&&(e=i.return)&&e.call(i)}finally{if(o)throw o.error}}return l},c=this&&this.__spreadArray||function(r,t){for(var e=0,n=t.length,o=r.length;e<n;e++,o++)r[o]=t[e];return r},f=this&&this.__values||function(r){var t=\"function\"==typeof Symbol&&Symbol.iterator,e=t&&r[t],n=0;if(e)return e.call(r);if(r&&\"number\"==typeof r.length)return{next:function(){return r&&n>=r.length&&(r=void 0),{value:r&&r[n++],done:!r}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=r(573);e.CommonMrowMixin=function(r){return function(r){function t(){for(var t,e,n=[],o=0;o<arguments.length;o++)n[o]=arguments[o];var i=r.apply(this,c([],a(n)))||this;i.stretchChildren();try{for(var l=f(i.childNodes),h=l.next();!h.done;h=l.next()){var s=h.value;if(s.bbox.pwidth){i.bbox.pwidth=u.BBox.fullWidth;break}}}catch(r){t={error:r}}finally{try{h&&!h.done&&(e=l.return)&&e.call(l)}finally{if(t)throw t.error}}return i}return l(t,r),Object.defineProperty(t.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),t.prototype.stretchChildren=function(){var r,t,e,n,o,i,l=[];try{for(var a=f(this.childNodes),c=a.next();!c.done;c=a.next()){(O=c.value).canStretch(1)&&l.push(O)}}catch(t){r={error:t}}finally{try{c&&!c.done&&(t=a.return)&&t.call(a)}finally{if(r)throw r.error}}var u=l.length,h=this.childNodes.length;if(u&&h>1){var s=0,y=0,d=u>1&&u===h;try{for(var p=f(this.childNodes),v=p.next();!v.done;v=p.next()){var b=0===(O=v.value).stretch.dir;if(d||b){var x=O.getBBox(b),_=x.h,w=x.d,g=x.rscale;(_*=g)>s&&(s=_),(w*=g)>y&&(y=w)}}}catch(r){e={error:r}}finally{try{v&&!v.done&&(n=p.return)&&n.call(p)}finally{if(e)throw e.error}}try{for(var m=f(l),S=m.next();!S.done;S=m.next()){var O;(O=S.value).coreMO().getStretchedVariant([s,y])}}catch(r){o={error:r}}finally{try{S&&!S.done&&(i=m.return)&&i.call(m)}finally{if(o)throw o.error}}}},t}(r)},e.CommonInferredMrowMixin=function(r){return function(r){function t(){return null!==r&&r.apply(this,arguments)||this}return l(t,r),t.prototype.getScale=function(){this.bbox.scale=this.parent.bbox.scale,this.bbox.rscale=1},t}(r)}},\n",
-       "      580: function _(e,t,r,n,o){var i,l=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(e){for(var t,r=1,n=arguments.length;r<n;r++)for(var o in t=arguments[r])Object.prototype.hasOwnProperty.call(t,o)&&(e[o]=t[o]);return e},s.apply(this,arguments)},a=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var c=e(529),u=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t._core=null,t}return l(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"mrow\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"isSpacelike\",{get:function(){var e,t;try{for(var r=a(this.childNodes),n=r.next();!n.done;n=r.next()){if(!n.value.isSpacelike)return!1}}catch(t){e={error:t}}finally{try{n&&!n.done&&(t=r.return)&&t.call(r)}finally{if(e)throw e.error}}return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"isEmbellished\",{get:function(){var e,t,r=!1,n=0;try{for(var o=a(this.childNodes),i=o.next();!i.done;i=o.next()){var l=i.value;if(l)if(l.isEmbellished){if(r)return!1;r=!0,this._core=n}else if(!l.isSpacelike)return!1;n++}}catch(t){e={error:t}}finally{try{i&&!i.done&&(t=o.return)&&t.call(o)}finally{if(e)throw e.error}}return r},enumerable:!1,configurable:!0}),t.prototype.core=function(){return this.isEmbellished&&null!=this._core?this.childNodes[this._core]:this},t.prototype.coreMO=function(){return this.isEmbellished&&null!=this._core?this.childNodes[this._core].coreMO():this},t.prototype.nonSpaceLength=function(){var e,t,r=0;try{for(var n=a(this.childNodes),o=n.next();!o.done;o=n.next()){var i=o.value;i&&!i.isSpacelike&&r++}}catch(t){e={error:t}}finally{try{o&&!o.done&&(t=n.return)&&t.call(n)}finally{if(e)throw e.error}}return r},t.prototype.firstNonSpace=function(){var e,t;try{for(var r=a(this.childNodes),n=r.next();!n.done;n=r.next()){var o=n.value;if(o&&!o.isSpacelike)return o}}catch(t){e={error:t}}finally{try{n&&!n.done&&(t=r.return)&&t.call(r)}finally{if(e)throw e.error}}return null},t.prototype.lastNonSpace=function(){for(var e=this.childNodes.length;--e>=0;){var t=this.childNodes[e];if(t&&!t.isSpacelike)return t}return null},t.prototype.setTeXclass=function(e){var t,r,n,o;if(null!=this.getProperty(\"open\")||null!=this.getProperty(\"close\")){this.getPrevClass(e),e=null;try{for(var i=a(this.childNodes),l=i.next();!l.done;l=i.next()){e=l.value.setTeXclass(e)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}null==this.texClass&&(this.texClass=c.TEXCLASS.INNER)}else{try{for(var s=a(this.childNodes),u=s.next();!u.done;u=s.next()){e=u.value.setTeXclass(e)}}catch(e){n={error:e}}finally{try{u&&!u.done&&(o=s.return)&&o.call(s)}finally{if(n)throw n.error}}this.childNodes[0]&&this.updateTeXclass(this.childNodes[0])}return e},t.defaults=s({},c.AbstractMmlNode.defaults),t}(c.AbstractMmlNode);r.MmlMrow=u;var f=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"inferredMrow\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"isInferred\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"notParent\",{get:function(){return!0},enumerable:!1,configurable:!0}),t.prototype.toString=function(){return\"[\"+this.childNodes.join(\",\")+\"]\"},t.defaults=u.defaults,t}(u);r.MmlInferredMrow=f},\n",
-       "      581: function _(t,n,o,r,e){var i,p=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var c=t(570),u=t(582),s=t(583),f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return p(n,t),n.kind=s.MmlMi.prototype.kind,n}(u.CommonMiMixin(c.SVGWrapper));o.SVGmi=f},\n",
-       "      582: function _(t,o,n,r,e){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var n in o)Object.prototype.hasOwnProperty.call(o,n)&&(t[n]=o[n])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(n.prototype=o.prototype,new n)});r(),n.CommonMiMixin=function(t){return function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),o.prototype.computeBBox=function(o,n){void 0===n&&(n=!1),t.prototype.computeBBox.call(this,o),this.copySkewIC(o)},o}(t)}},\n",
-       "      583: function _(t,e,r,o,n){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},s.apply(this,arguments)};o();var u=t(529),c=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mi\"},enumerable:!1,configurable:!0}),e.prototype.setInheritedAttributes=function(r,o,n,i){void 0===r&&(r={}),void 0===o&&(o=!1),void 0===n&&(n=0),void 0===i&&(i=!1),t.prototype.setInheritedAttributes.call(this,r,o,n,i),this.getText().match(e.singleCharacter)&&!r.mathvariant&&this.attributes.setInherited(\"mathvariant\",\"italic\")},e.prototype.setTeXclass=function(t){this.getPrevClass(t);var r=this.getText();return r.length>1&&r.match(e.operatorName)&&\"normal\"===this.attributes.get(\"mathvariant\")&&void 0===this.getProperty(\"autoOP\")&&void 0===this.getProperty(\"texClass\")&&(this.texClass=u.TEXCLASS.OP,this.setProperty(\"autoOP\",!0)),this},e.defaults=s({},u.AbstractMmlTokenNode.defaults),e.operatorName=/^[a-z][a-z0-9]*$/i,e.singleCharacter=/^[\\uD800-\\uDBFF]?.[\\u0300-\\u036F\\u1AB0-\\u1ABE\\u1DC0-\\u1DFF\\u20D0-\\u20EF]*$/,e}(u.AbstractMmlTokenNode);r.MmlMi=c},\n",
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t=this.stretch.stretch,r=this.getStretchVariants(),e=this.getBBox();1===this.stretch.dir?this.stretchVertical(t,r,e):this.stretchHorizontal(t,r,e)},r.prototype.getStretchVariants=function(){var t,r,e=this.stretch.c||this.getText().codePointAt(0),i=[];try{for(var n=h(this.stretch.stretch.keys()),o=n.next();!o.done;o=n.next()){var a=o.value;i[a]=this.font.getStretchVariant(e,a)}}catch(r){t={error:r}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(t)throw t.error}}return i},r.prototype.stretchVertical=function(t,r,e){var i=e.h,n=e.d,o=e.w,a=this.addTop(t[0],r[0],i,o),h=this.addBot(t[2],r[2],n,o);if(4===t.length){var d=s(this.addMidV(t[3],r[3],o),2),f=d[0],c=d[1];this.addExtV(t[1],r[1],i,0,a,f,o),this.addExtV(t[1],r[1],0,n,c,h,o)}else this.addExtV(t[1],r[1],i,n,a,h,o)},r.prototype.stretchHorizontal=function(t,r,e){var i=e.w,n=this.addLeft(t[0],r[0]),o=this.addRight(t[2],r[2],i);if(4===t.length){var a=s(this.addMidH(t[3],r[3],i),2),h=a[0],d=a[1],f=i/2;this.addExtH(t[1],r[1],f,n,f-h),this.addExtH(t[1],r[1],f,d-f,o,f)}else this.addExtH(t[1],r[1],i,n,o)},r.prototype.getChar=function(t,r){var e=this.font.getChar(r,t)||[0,0,0,null];return[e[0],e[1],e[2],e[3]||{}]},r.prototype.addGlyph=function(t,r,e,i,n){return void 0===n&&(n=null),this.placeChar(t,e,i,n||this.element,r)},r.prototype.addTop=function(t,r,e,i){if(!t)return 0;var n=s(this.getChar(t,r),3),o=n[0],a=n[1],h=n[2];return this.addGlyph(t,r,(i-h)/2,e-o),o+a},r.prototype.addExtV=function(t,r,e,i,n,o,a){var h=this;if(t){n=Math.max(0,n-l),o=Math.max(0,o-l);var d=this.adaptor,f=s(this.getChar(t,r),3),c=f[0],p=f[1],u=f[2],y=e+i-n-o,v=1.5*y/(c+p),x=(v*(c-p)-y)/2;if(!(y<=0)){var g=this.svg(\"svg\",{width:this.fixed(u),height:this.fixed(y),y:this.fixed(o-i),x:this.fixed((a-u)/2),viewBox:[0,x,u,y].map((function(t){return h.fixed(t)})).join(\" \")});this.addGlyph(t,r,0,0,g);var m=d.lastChild(g);d.setAttribute(m,\"transform\",\"scale(1,\"+this.jax.fixed(v)+\")\"),d.append(this.element,g)}}},r.prototype.addBot=function(t,r,e,i){if(!t)return 0;var n=s(this.getChar(t,r),3),o=n[0],a=n[1],h=n[2];return this.addGlyph(t,r,(i-h)/2,a-e),o+a},r.prototype.addMidV=function(t,r,e){if(!t)return[0,0];var i=s(this.getChar(t,r),3),n=i[0],o=i[1],a=i[2],h=(o-n)/2+this.font.params.axis_height;return this.addGlyph(t,r,(e-a)/2,h),[n+h,o-h]},r.prototype.addLeft=function(t,r){return t?this.addGlyph(t,r,0,0):0},r.prototype.addExtH=function(t,r,e,i,n,o){var a=this;if(void 0===o&&(o=0),t){n=Math.max(0,n-.1),i=Math.max(0,i-.1);var h=this.adaptor,d=s(this.getChar(t,r),3),f=d[0],c=d[1],p=d[2],u=e-i-n,y=f+c+.2,v=u/p*1.5,x=-(c+l);if(!(u<=0)){var g=this.svg(\"svg\",{width:this.fixed(u),height:this.fixed(y),x:this.fixed(o+i),y:this.fixed(x),viewBox:[(v*p-u)/2,x,u,y].map((function(t){return a.fixed(t)})).join(\" \")});this.addGlyph(t,r,0,0,g);var m=h.lastChild(g);h.setAttribute(m,\"transform\",\"scale(\"+this.jax.fixed(v)+\",1)\"),h.append(this.element,g)}}},r.prototype.addRight=function(t,r,e){if(!t)return 0;var i=this.getChar(t,r)[2];return this.addGlyph(t,r,e-i,0)},r.prototype.addMidH=function(t,r,e){if(!t)return[0,0];var i=this.getChar(t,r)[2];return this.addGlyph(t,r,(e-i)/2,0),[(e-i)/2,(e+i)/2]},r.kind=c.MmlMo.prototype.kind,r}(f.CommonMoMixin(d.SVGWrapper));e.SVGmo=p},\n",
-       "      585: function _(t,e,r,i,n){var o,s,a=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),h=this&&this.__assign||function(){return h=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},h.apply(this,arguments)},c=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,n,o=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(i=o.next()).done;)s.push(i.value)}catch(t){n={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(n)throw n.error}}return s},u=this&&this.__spreadArray||function(t,e){for(var r=0,i=e.length,n=t.length;r<i;r++,n++)t[n]=e[r];return t},p=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],i=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&i>=t.length&&(t=void 0),{value:t&&t[i++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i();var f=t(573),l=t(526),y=t(574);r.DirectionVH=((s={})[1]=\"v\",s[2]=\"h\",s),r.CommonMoMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var i=t.apply(this,u([],c(e)))||this;return i.size=null,i.isAccent=i.node.isAccent,i}return a(e,t),e.prototype.computeBBox=function(t,e){if(void 0===e&&(e=!1),this.protoBBox(t),this.node.attributes.get(\"symmetric\")&&2!==this.stretch.dir){var r=this.getCenterOffset(t);t.h+=r,t.d-=r}this.node.getProperty(\"mathaccent\")&&(0===this.stretch.dir||this.size>=0)&&(t.w=0)},e.prototype.protoBBox=function(e){var r=0!==this.stretch.dir;r&&null===this.size&&this.getStretchedVariant([0]),r&&this.size<0||(t.prototype.computeBBox.call(this,e),this.copySkewIC(e))},e.prototype.getAccentOffset=function(){var t=f.BBox.empty();return this.protoBBox(t),-t.w/2},e.prototype.getCenterOffset=function(e){return void 0===e&&(e=null),e||(e=f.BBox.empty(),t.prototype.computeBBox.call(this,e)),(e.h+e.d)/2+this.font.params.axis_height-e.h},e.prototype.getVariant=function(){this.node.attributes.get(\"largeop\")?this.variant=this.node.attributes.get(\"displaystyle\")?\"-largeop\":\"-smallop\":this.node.attributes.getExplicit(\"mathvariant\")||!1!==this.node.getProperty(\"pseudoscript\")?t.prototype.getVariant.call(this):this.variant=\"-tex-variant\"},e.prototype.canStretch=function(t){if(0!==this.stretch.dir)return this.stretch.dir===t;if(!this.node.attributes.get(\"stretchy\"))return!1;var e=this.getText();if(1!==Array.from(e).length)return!1;var r=this.font.getDelimiter(e.codePointAt(0));return this.stretch=r&&r.dir===t?r:y.NOSTRETCH,0!==this.stretch.dir},e.prototype.getStretchedVariant=function(t,e){var r,i;if(void 0===e&&(e=!1),0!==this.stretch.dir){var n=this.getWH(t),o=this.getSize(\"minsize\",0),s=this.getSize(\"maxsize\",1/0),a=this.node.getProperty(\"mathaccent\");n=Math.max(o,Math.min(s,n));var c=this.font.params.delimiterfactor/1e3,u=this.font.params.delimitershortfall,f=o||e?n:a?Math.min(n/c,n+u):Math.max(n*c,n-u),l=this.stretch,y=l.c||this.getText().codePointAt(0),d=0;if(l.sizes)try{for(var g=p(l.sizes),m=g.next();!m.done;m=g.next()){if(m.value>=f)return a&&d&&d--,this.variant=this.font.getSizeVariant(y,d),this.size=d,void(l.schar&&l.schar[d]&&(this.stretch=h(h({},this.stretch),{c:l.schar[d]})));d++}}catch(t){r={error:t}}finally{try{m&&!m.done&&(i=g.return)&&i.call(g)}finally{if(r)throw r.error}}l.stretch?(this.size=-1,this.invalidateBBox(),this.getStretchBBox(t,this.checkExtendedHeight(n,l),l)):(this.variant=this.font.getSizeVariant(y,d-1),this.size=d-1)}},e.prototype.getSize=function(t,e){var r=this.node.attributes;return r.isSet(t)&&(e=this.length2em(r.get(t),1,1)),e},e.prototype.getWH=function(t){if(0===t.length)return 0;if(1===t.length)return t[0];var e=c(t,2),r=e[0],i=e[1],n=this.font.params.axis_height;return this.node.attributes.get(\"symmetric\")?2*Math.max(r-n,i+n):r+i},e.prototype.getStretchBBox=function(t,e,r){var i;r.hasOwnProperty(\"min\")&&r.min>e&&(e=r.min);var n=c(r.HDW,3),o=n[0],s=n[1],a=n[2];1===this.stretch.dir?(o=(i=c(this.getBaseline(t,e,r),2))[0],s=i[1]):a=e,this.bbox.h=o,this.bbox.d=s,this.bbox.w=a},e.prototype.getBaseline=function(t,e,r){var i=2===t.length&&t[0]+t[1]===e,n=this.node.attributes.get(\"symmetric\"),o=c(i?t:[e,0],2),s=o[0],a=o[1],h=c([s+a,0],2),u=h[0],p=h[1];if(n){var f=this.font.params.axis_height;i&&(u=2*Math.max(s-f,a+f)),p=u/2-f}else if(i)p=a;else{var l=c(r.HDW||[.75,.25],2),y=l[0],d=l[1];p=d*(u/(y+d))}return[u-p,p]},e.prototype.checkExtendedHeight=function(t,e){if(e.fullExt){var r=c(e.fullExt,2),i=r[0],n=r[1];t=n+Math.ceil(Math.max(0,t-n)/i)*i}return t},e.prototype.remapChars=function(t){var e=this.node.getProperty(\"primes\");if(e)return l.unicodeChars(e);if(1===t.length){var r=this.node.coreParent().parent,i=this.isAccent&&!r.isKind(\"mrow\")?\"accent\":\"mo\",n=this.font.getRemappedChar(i,t[0]);n&&(t=this.unicodeChars(n,this.variant))}return t},e}(t)}},\n",
-       "      586: function _(t,n,o,r,e){var i,p=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var c=t(570),u=t(587),s=t(588),f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return p(n,t),n.kind=s.MmlMn.prototype.kind,n}(u.CommonMnMixin(c.SVGWrapper));o.SVGmn=f},\n",
-       "      587: function _(t,n,o,r,e){var i,c=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r(),o.CommonMnMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return c(n,t),n.prototype.remapChars=function(t){if(t.length){var n=this.font.getRemappedChar(\"mn\",t[0]);if(n){var o=this.unicodeChars(n,this.variant);1===o.length?t[0]=o[0]:t=o.concat(t.slice(1))}}return t},n}(t)}},\n",
-       "      588: function _(t,n,r,o,e){var i,c=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(t[r]=n[r])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var n,r=1,o=arguments.length;r<o;r++)for(var e in n=arguments[r])Object.prototype.hasOwnProperty.call(n,e)&&(t[e]=n[e]);return t},s.apply(this,arguments)};o();var u=t(529),a=function(t){function n(){var n=null!==t&&t.apply(this,arguments)||this;return n.texclass=u.TEXCLASS.ORD,n}return c(n,t),Object.defineProperty(n.prototype,\"kind\",{get:function(){return\"mn\"},enumerable:!1,configurable:!0}),n.defaults=s({},u.AbstractMmlTokenNode.defaults),n}(u.AbstractMmlTokenNode);r.MmlMn=a},\n",
-       "      589: function _(t,n,o,r,e){var i,p=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var c=t(570),u=t(590),s=t(591),f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return p(n,t),n.kind=s.MmlMs.prototype.kind,n}(u.CommonMsMixin(c.SVGWrapper));o.SVGms=f},\n",
-       "      590: function _(t,r,e,o,n){var i,u=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),u=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)u.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return u},c=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t};o(),e.CommonMsMixin=function(t){return function(t){function r(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];var o=t.apply(this,c([],a(r)))||this,n=o.node.attributes,i=n.getList(\"lquote\",\"rquote\");return\"monospace\"!==o.variant&&(n.isSet(\"lquote\")||'\"'!==i.lquote||(i.lquote=\"\\u201c\"),n.isSet(\"rquote\")||'\"'!==i.rquote||(i.rquote=\"\\u201d\")),o.childNodes.unshift(o.createText(i.lquote)),o.childNodes.push(o.createText(i.rquote)),o}return u(r,t),r.prototype.createText=function(t){var r=this.wrap(this.mmlText(t));return r.parent=this,r},r}(t)}},\n",
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-       "      592: function _(t,n,o,r,e){var i,p=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var c=t(570),u=t(593),s=t(594),f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return p(n,t),n.kind=s.MmlMtext.prototype.kind,n}(u.CommonMtextMixin(c.SVGWrapper));o.SVGmtext=f},\n",
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-       "      606: function _(t,e,o,n,i){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),a=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,i,r=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=r.next()).done;)s.push(n.value)}catch(t){i={error:t}}finally{try{n&&!n.done&&(o=r.return)&&o.call(r)}finally{if(i)throw i.error}}return s},l=this&&this.__spreadArray||function(t,e){for(var o=0,n=e.length,i=t.length;o<n;o++,i++)t[i]=e[o];return t};n(),o.CommonMfracMixin=function(t){return function(t){function e(){for(var e=[],o=0;o<arguments.length;o++)e[o]=arguments[o];var n=t.apply(this,l([],a(e)))||this;if(n.bevel=null,n.pad=n.node.getProperty(\"withDelims\")?0:n.font.params.nulldelimiterspace,n.node.attributes.get(\"bevelled\")){var i=n.getBevelData(n.isDisplay()).H,r=n.bevel=n.createMo(\"/\");r.node.attributes.set(\"symmetric\",!0),r.canStretch(1),r.getStretchedVariant([i],!0)}return n}return s(e,t),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.empty();var o=this.node.attributes.getList(\"linethickness\",\"bevelled\"),n=o.linethickness,i=o.bevelled,r=this.isDisplay(),s=null;if(i)this.getBevelledBBox(t,r);else{var a=this.length2em(String(n),.06);s=-2*this.pad,0===a?this.getAtopBBox(t,r):(this.getFractionBBox(t,r,a),s-=.2),s+=t.w}t.clean(),this.setChildPWidths(e,s)},e.prototype.getFractionBBox=function(t,e,o){var n=this.childNodes[0].getBBox(),i=this.childNodes[1].getBBox(),r=this.font.params.axis_height,s=this.getTUV(e,o),a=s.T,l=s.u,h=s.v;t.combine(n,0,r+a+Math.max(n.d*n.rscale,l)),t.combine(i,0,r-a-Math.max(i.h*i.rscale,h)),t.w+=2*this.pad+.2},e.prototype.getTUV=function(t,e){var o=this.font.params,n=o.axis_height,i=(t?3.5:1.5)*e;return{T:(t?3.5:1.5)*e,u:(t?o.num1:o.num2)-n-i,v:(t?o.denom1:o.denom2)+n-i}},e.prototype.getAtopBBox=function(t,e){var o=this.getUVQ(e),n=o.u,i=o.v,r=o.nbox,s=o.dbox;t.combine(r,0,n),t.combine(s,0,-i),t.w+=2*this.pad},e.prototype.getUVQ=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=this.font.params,i=a(t?[n.num1,n.denom1]:[n.num3,n.denom2],2),r=i[0],s=i[1],l=(t?7:3)*n.rule_thickness,h=r-e.d*e.scale-(o.h*o.scale-s);return h<l&&(r+=(l-h)/2,s+=(l-h)/2,h=l),{u:r,v:s,q:h,nbox:e,dbox:o}},e.prototype.getBevelledBBox=function(t,e){var o=this.getBevelData(e),n=o.u,i=o.v,r=o.delta,s=o.nbox,a=o.dbox,l=this.bevel.getBBox();t.combine(s,0,n),t.combine(l,t.w-r/2,0),t.combine(a,t.w-r/2,i)},e.prototype.getBevelData=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=t?.4:.15,i=Math.max(e.scale*(e.h+e.d),o.scale*(o.h+o.d))+2*n,r=this.font.params.axis_height;return{H:i,delta:n,u:e.scale*(e.d-e.h)/2+r+n,v:o.scale*(o.d-o.h)/2+r-n,nbox:e,dbox:o}},e.prototype.canStretch=function(t){return!1},e.prototype.isDisplay=function(){var t=this.node.attributes.getList(\"displaystyle\",\"scriptlevel\"),e=t.displaystyle,o=t.scriptlevel;return e&&0===o},e.prototype.getWrapWidth=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?this.childNodes[t].getBBox().w:this.getBBox().w-(this.length2em(e.get(\"linethickness\"))?.2:0)-2*this.pad},e.prototype.getChildAlign=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?\"left\":e.get([\"numalign\",\"denomalign\"][t])},e}(t)}},\n",
-       "      607: function _(t,e,r,n,o){var i,l=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},u=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var a=t(529),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfrac\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=u(this.childNodes),o=n.next();!o.done;o=n.next()){o.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){(!e||r>0)&&r++,this.childNodes[0].setInheritedAttributes(t,!1,r,n),this.childNodes[1].setInheritedAttributes(t,!1,r,!0)},e.defaults=s(s({},a.AbstractMmlBaseNode.defaults),{linethickness:\"medium\",numalign:\"center\",denomalign:\"center\",bevelled:!1}),e}(a.AbstractMmlBaseNode);r.MmlMfrac=c},\n",
-       "      608: function _(t,o,i,s,n){var e,r=this&&this.__extends||(e=function(t,o){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var i in o)Object.prototype.hasOwnProperty.call(o,i)&&(t[i]=o[i])},e(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function i(){this.constructor=t}e(t,o),t.prototype=null===o?Object.create(o):(i.prototype=o.prototype,new i)});s();var h=t(570),p=t(609),a=t(610),d=function(t){function o(){var o=null!==t&&t.apply(this,arguments)||this;return o.dx=0,o}return r(o,t),o.prototype.toSVG=function(t){var o=this.childNodes[this.surd],i=this.childNodes[this.base],s=this.root?this.childNodes[this.root]:null,n=this.getBBox(),e=o.getBBox(),r=i.getBBox(),h=this.getPQ(e)[1],p=this.font.params.rule_thickness*this.bbox.scale,a=r.h+h+p,d=this.standardSVGnode(t),c=this.adaptor.append(d,this.svg(\"g\"));this.addRoot(d,s,e,a),o.toSVG(d),o.place(this.dx,n.h-e.h-p),i.toSVG(c),i.place(this.dx+e.w,0),this.adaptor.append(d,this.svg(\"rect\",{width:this.fixed(r.w),height:this.fixed(p),x:this.fixed(this.dx+e.w),y:this.fixed(n.h-2*p)}))},o.prototype.addRoot=function(t,o,i,s){},o.kind=a.MmlMsqrt.prototype.kind,o}(p.CommonMsqrtMixin(h.SVGWrapper));i.SVGmsqrt=d},\n",
-       "      609: function _(t,e,r,o,n){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return s},a=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var c=t(573);r.CommonMsqrtMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,a([],u(e)))||this,n=o.createMo(\"\\u221a\");n.canStretch(1);var i=o.childNodes[o.base].getBBox(),s=i.h,c=i.d,h=o.font.params.rule_thickness,p=o.node.attributes.get(\"displaystyle\")?o.font.params.x_height:h;return o.surdH=s+c+2*h+p/4,n.getStretchedVariant([o.surdH-c,c],!0),o}return s(e,t),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"surd\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return null},enumerable:!1,configurable:!0}),e.prototype.createMo=function(e){var r=t.prototype.createMo.call(this,e);return this.childNodes.push(r),r},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r=this.childNodes[this.surd].getBBox(),o=new c.BBox(this.childNodes[this.base].getBBox()),n=this.getPQ(r)[1],i=this.font.params.rule_thickness,s=o.h+n+i,a=u(this.getRootDimens(r,s),1)[0];t.h=s+i,this.combineRootBBox(t,r,s),t.combine(r,a,s-r.h),t.combine(o,a+r.w,0),t.clean(),this.setChildPWidths(e)},e.prototype.combineRootBBox=function(t,e,r){},e.prototype.getPQ=function(t){var e=this.font.params.rule_thickness,r=this.node.attributes.get(\"displaystyle\")?this.font.params.x_height:e;return[r,t.h+t.d>this.surdH?(t.h+t.d-(this.surdH-2*e-r/2))/2:e+r/4]},e.prototype.getRootDimens=function(t,e){return[0,0,0,0]},e}(t)}},\n",
-       "      610: function _(t,e,r,n,o){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__assign||function(){return u=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},u.apply(this,arguments)};n();var c=t(529),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.ORD,e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msqrt\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0)},e.defaults=u({},c.AbstractMmlNode.defaults),e}(c.AbstractMmlNode);r.MmlMsqrt=l},\n",
-       "      611: function _(t,o,r,n,e){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var r in o)Object.prototype.hasOwnProperty.call(o,r)&&(t[r]=o[r])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(r.prototype=o.prototype,new r)}),l=this&&this.__read||function(t,o){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,e,i=r.call(t),c=[];try{for(;(void 0===o||o-- >0)&&!(n=i.next()).done;)c.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(e)throw e.error}}return c};n();var u=t(608),a=t(612),f=t(613),p=function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),o.prototype.addRoot=function(t,o,r,n){o.toSVG(t);var e=l(this.getRootDimens(r,n),3),i=e[0],c=e[1],u=e[2],a=o.getBBox();o.place(u*a.rscale,c),this.dx=i},o.kind=f.MmlMroot.prototype.kind,o}(a.CommonMrootMixin(u.SVGmsqrt));r.SVGmroot=p},\n",
-       "      612: function _(t,o,e,r,n){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var e in o)Object.prototype.hasOwnProperty.call(o,e)&&(t[e]=o[e])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(e.prototype=o.prototype,new e)});r(),e.CommonMrootMixin=function(t){return function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),Object.defineProperty(o.prototype,\"surd\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(o.prototype,\"root\",{get:function(){return 1},enumerable:!1,configurable:!0}),o.prototype.combineRootBBox=function(t,o,e){var r=this.childNodes[this.root].getBBox(),n=this.getRootDimens(o,e)[1];t.combine(r,0,n)},o.prototype.getRootDimens=function(t,o){var e=this.childNodes[this.surd],r=this.childNodes[this.root].getBBox(),n=(e.size<0?.5:.6)*t.w,i=r.w,c=r.rscale,u=Math.max(i,n/c),s=Math.max(0,u-i);return[u*c-n,this.rootHeight(r,t,e.size,o),s]},o.prototype.rootHeight=function(t,o,e,r){var n=o.h+o.d;return(e<0?1.9:.55*n)-(n-r)+Math.max(0,t.d*t.rscale)},o}(t)}},\n",
-       "      613: function _(t,e,r,n,o){var s,i=this&&this.__extends||(s=function(t,e){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},s(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}s(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},c.apply(this,arguments)};n();var u=t(529),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mroot\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this.childNodes[1].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0),this.childNodes[1].setInheritedAttributes(t,!1,r+2,n)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMroot=l},\n",
-       "      614: function _(t,n,r,e,o){var i,l=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(t[r]=n[r])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}),a=this&&this.__values||function(t){var n=\"function\"==typeof Symbol&&Symbol.iterator,r=n&&t[n],e=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(n?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var c=t(570),s=t(615),u=t(616),f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return l(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t);this.setChildrenParent(this.mrow),this.mrow.toSVG(n),this.setChildrenParent(this)},n.prototype.setChildrenParent=function(t){var n,r;try{for(var e=a(this.childNodes),o=e.next();!o.done;o=e.next()){o.value.parent=t}}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=e.return)&&r.call(e)}finally{if(n)throw n.error}}},n.kind=u.MmlMfenced.prototype.kind,n}(s.CommonMfencedMixin(c.SVGWrapper));r.SVGmfenced=f},\n",
-       "      615: function _(t,r,o,e,n){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),a=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var e,n,i=o.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(e=i.next()).done;)s.push(e.value)}catch(t){n={error:t}}finally{try{e&&!e.done&&(o=i.return)&&o.call(i)}finally{if(n)throw n.error}}return s},h=this&&this.__spreadArray||function(t,r){for(var o=0,e=r.length,n=t.length;o<e;o++,n++)t[n]=r[o];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,o=r&&t[r],e=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e(),o.CommonMfencedMixin=function(t){return function(t){function r(){for(var r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];var e=t.apply(this,h([],a(r)))||this;return e.mrow=null,e.createMrow(),e.addMrowChildren(),e}return s(r,t),r.prototype.createMrow=function(){var t=this.node.factory.create(\"inferredMrow\");t.inheritAttributesFrom(this.node),this.mrow=this.wrap(t),this.mrow.parent=this},r.prototype.addMrowChildren=function(){var t,r,o=this.node,e=this.mrow;this.addMo(o.open),this.childNodes.length&&e.childNodes.push(this.childNodes[0]);var n=0;try{for(var i=l(this.childNodes.slice(1)),s=i.next();!s.done;s=i.next()){var a=s.value;this.addMo(o.separators[n++]),e.childNodes.push(a)}}catch(r){t={error:r}}finally{try{s&&!s.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}this.addMo(o.close),e.stretchChildren()},r.prototype.addMo=function(t){if(t){var r=this.wrap(t);this.mrow.childNodes.push(r),r.parent=this.mrow}},r.prototype.computeBBox=function(t,r){void 0===r&&(r=!1),t.updateFrom(this.mrow.getBBox()),this.setChildPWidths(r)},r}(t)}},\n",
-       "      616: function _(t,e,r,o,s){var n,i=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var s in e=arguments[r])Object.prototype.hasOwnProperty.call(e,s)&&(t[s]=e[s]);return t},a.apply(this,arguments)},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],o=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var c=t(529),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.INNER,e.separators=[],e.open=null,e.close=null,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfenced\"},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){this.getPrevClass(t),this.open&&(t=this.open.setTeXclass(t)),this.childNodes[0]&&(t=this.childNodes[0].setTeXclass(t));for(var e=1,r=this.childNodes.length;e<r;e++)this.separators[e-1]&&(t=this.separators[e-1].setTeXclass(t)),this.childNodes[e]&&(t=this.childNodes[e].setTeXclass(t));return this.close&&(t=this.close.setTeXclass(t)),this.updateTeXclass(this.open),t},e.prototype.setChildInheritedAttributes=function(e,r,o,s){var n,i;this.addFakeNodes();try{for(var a=l([this.open,this.close].concat(this.separators)),c=a.next();!c.done;c=a.next()){var h=c.value;h&&h.setInheritedAttributes(e,r,o,s)}}catch(t){n={error:t}}finally{try{c&&!c.done&&(i=a.return)&&i.call(a)}finally{if(n)throw n.error}}t.prototype.setChildInheritedAttributes.call(this,e,r,o,s)},e.prototype.addFakeNodes=function(){var t,e,r=this.attributes.getList(\"open\",\"close\",\"separators\"),o=r.open,s=r.close,n=r.separators;if(o=o.replace(/[ \\t\\n\\r]/g,\"\"),s=s.replace(/[ \\t\\n\\r]/g,\"\"),n=n.replace(/[ \\t\\n\\r]/g,\"\"),o&&(this.open=this.fakeNode(o,{fence:!0,form:\"prefix\"},c.TEXCLASS.OPEN)),n){for(;n.length<this.childNodes.length-1;)n+=n.charAt(n.length-1);var i=0;try{for(var a=l(this.childNodes.slice(1)),h=a.next();!h.done;h=a.next()){h.value&&this.separators.push(this.fakeNode(n.charAt(i++)))}}catch(e){t={error:e}}finally{try{h&&!h.done&&(e=a.return)&&e.call(a)}finally{if(t)throw t.error}}}s&&(this.close=this.fakeNode(s,{fence:!0,form:\"postfix\"},c.TEXCLASS.CLOSE))},e.prototype.fakeNode=function(t,e,r){void 0===e&&(e={}),void 0===r&&(r=null);var o=this.factory.create(\"text\").setText(t),s=this.factory.create(\"mo\",e,[o]);return s.texClass=r,s.parent=this,s},e.defaults=a(a({},c.AbstractMmlNode.defaults),{open:\"(\",close:\")\",separators:\",\"}),e}(c.AbstractMmlNode);r.MmlMfenced=h},\n",
-       "      617: function _(t,n,o,r,i){var e,s=this&&this.__extends||(e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},e(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)}),u=this&&this.__read||function(t,n){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var r,i,e=o.call(t),s=[];try{for(;(void 0===n||n-- >0)&&!(r=e.next()).done;)s.push(r.value)}catch(t){i={error:t}}finally{try{r&&!r.done&&(o=e.return)&&o.call(e)}finally{if(i)throw i.error}}return s};r();var p=t(618),l=t(620),a=t(620),c=t(620),f=t(621),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsub.prototype.kind,n}(l.CommonMsubMixin(p.SVGscriptbase));o.SVGmsub=h;var y=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsup.prototype.kind,n}(a.CommonMsupMixin(p.SVGscriptbase));o.SVGmsup=y;var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t),o=u([this.baseChild,this.supChild,this.subChild],3),r=o[0],i=o[1],e=o[2],s=this.getBaseWidth(),p=this.getAdjustedIc(),l=u(this.getUVQ(),2),a=l[0],c=l[1];r.toSVG(n),i.toSVG(n),e.toSVG(n),e.place(s,c),i.place(s+p,a)},n.kind=f.MmlMsubsup.prototype.kind,n}(c.CommonMsubsupMixin(p.SVGscriptbase));o.SVGmsubsup=d},\n",
-       "      618: function _(t,r,o,n,e){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),a=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,e,i=o.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}return s};n();var c=t(570),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),o=this.getBaseWidth(),n=a(this.getOffset(),2),e=n[0],i=n[1];this.baseChild.toSVG(r),this.scriptChild.toSVG(r),this.scriptChild.place(o+e,i)},r.kind=\"scriptbase\",r}(t(619).CommonScriptbaseMixin(c.SVGWrapper));o.SVGscriptbase=l},\n",
-       "      619: function _(e,t,r,i,n){var s,o=this&&this.__extends||(s=function(e,t){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},s(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}s(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var i,n,s=r.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(i=s.next()).done;)o.push(i.value)}catch(e){n={error:e}}finally{try{i&&!i.done&&(r=s.return)&&r.call(s)}finally{if(n)throw n.error}}return o},c=this&&this.__spreadArray||function(e,t){for(var r=0,i=t.length,n=e.length;r<i;r++,n++)e[n]=t[r];return e},h=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],i=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&i>=e.length&&(e=void 0),{value:e&&e[i++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i(),r.CommonScriptbaseMixin=function(e){var t;return t=function(e){function t(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var i=e.apply(this,c([],a(t)))||this;i.baseScale=1,i.baseIc=0,i.baseRemoveIc=!1,i.baseIsChar=!1,i.baseHasAccentOver=null,i.baseHasAccentUnder=null,i.isLineAbove=!1,i.isLineBelow=!1,i.isMathAccent=!1;var n=i.baseCore=i.getBaseCore();return n?(i.setBaseAccentsFor(n),i.baseScale=i.getBaseScale(),i.baseIc=i.getBaseIc(),i.baseIsChar=i.isCharBase(),i.isMathAccent=i.baseIsChar&&i.scriptChild&&!!i.scriptChild.coreMO().node.getProperty(\"mathaccent\"),i.checkLineAccents(),i.baseRemoveIc=!i.isLineAbove&&!i.isLineBelow&&(!i.constructor.useIC||i.isMathAccent),i):i}return o(t,e),Object.defineProperty(t.prototype,\"baseChild\",{get:function(){return this.childNodes[this.node.base]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"scriptChild\",{get:function(){return this.childNodes[1]},enumerable:!1,configurable:!0}),t.prototype.getBaseCore=function(){for(var e=this.getSemanticBase()||this.childNodes[0];e&&(1===e.childNodes.length&&(e.node.isKind(\"mrow\")||e.node.isKind(\"TeXAtom\")||e.node.isKind(\"mstyle\")||e.node.isKind(\"mpadded\")||e.node.isKind(\"mphantom\")||e.node.isKind(\"semantics\"))||e.node.isKind(\"munderover\")&&e.isMathAccent);)this.setBaseAccentsFor(e),e=e.childNodes[0];return e||(this.baseHasAccentOver=this.baseHasAccentUnder=!1),e||this.childNodes[0]},t.prototype.setBaseAccentsFor=function(e){e.node.isKind(\"munderover\")&&(null===this.baseHasAccentOver&&(this.baseHasAccentOver=!!e.node.attributes.get(\"accent\")),null===this.baseHasAccentUnder&&(this.baseHasAccentUnder=!!e.node.attributes.get(\"accentunder\")))},t.prototype.getSemanticBase=function(){var e=this.node.attributes.getExplicit(\"data-semantic-fencepointer\");return this.getBaseFence(this.baseChild,e)},t.prototype.getBaseFence=function(e,t){var r,i;if(!e||!e.node.attributes||!t)return null;if(e.node.attributes.getExplicit(\"data-semantic-id\")===t)return e;try{for(var n=h(e.childNodes),s=n.next();!s.done;s=n.next()){var o=s.value,a=this.getBaseFence(o,t);if(a)return a}}catch(e){r={error:e}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return null},t.prototype.getBaseScale=function(){for(var e=this.baseCore,t=1;e&&e!==this;){t*=e.getBBox().rscale,e=e.parent}return t},t.prototype.getBaseIc=function(){return this.baseCore.getBBox().ic*this.baseScale},t.prototype.getAdjustedIc=function(){var e=this.baseCore.getBBox();return(e.ic?1.05*e.ic+.05:0)*this.baseScale},t.prototype.isCharBase=function(){var e=this.baseCore;return(e.node.isKind(\"mo\")&&null===e.size||e.node.isKind(\"mi\")||e.node.isKind(\"mn\"))&&1===e.bbox.rscale&&1===Array.from(e.getText()).length},t.prototype.checkLineAccents=function(){if(this.node.isKind(\"munderover\"))if(this.node.isKind(\"mover\"))this.isLineAbove=this.isLineAccent(this.scriptChild);else if(this.node.isKind(\"munder\"))this.isLineBelow=this.isLineAccent(this.scriptChild);else{this.isLineAbove=this.isLineAccent(this.overChild),this.isLineBelow=this.isLineAccent(this.underChild)}},t.prototype.isLineAccent=function(e){var t=e.coreMO().node;return t.isToken&&\"\\u2015\"===t.getText()},t.prototype.getBaseWidth=function(){var e=this.baseChild.getBBox();return e.w*e.rscale-(this.baseRemoveIc?this.baseIc:0)+this.font.params.extra_ic},t.prototype.computeBBox=function(e,t){void 0===t&&(t=!1);var r=this.getBaseWidth(),i=a(this.getOffset(),2),n=i[0],s=i[1];e.append(this.baseChild.getBBox()),e.combine(this.scriptChild.getBBox(),r+n,s),e.w+=this.font.params.scriptspace,e.clean(),this.setChildPWidths(t)},t.prototype.getOffset=function(){return[0,0]},t.prototype.baseCharZero=function(e){var t=!!this.baseCore.node.attributes.get(\"largeop\"),r=this.baseScale;return this.baseIsChar&&!t&&1===r?0:e},t.prototype.getV=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub1);return Math.max(this.baseCharZero(e.d*this.baseScale+r.sub_drop*t.rscale),i,t.h*t.rscale-.8*r.x_height)},t.prototype.getU=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.node.attributes.getList(\"displaystyle\",\"superscriptshift\"),n=this.node.getProperty(\"texprimestyle\")?r.sup3:i.displaystyle?r.sup1:r.sup2,s=this.length2em(i.superscriptshift,n);return Math.max(this.baseCharZero(e.h*this.baseScale-r.sup_drop*t.rscale),s,t.d*t.rscale+1/4*r.x_height)},t.prototype.hasMovableLimits=function(){var e=this.node.attributes.get(\"displaystyle\"),t=this.baseChild.coreMO().node;return!e&&!!t.attributes.get(\"movablelimits\")},t.prototype.getOverKU=function(e,t){var r=this.node.attributes.get(\"accent\"),i=this.font.params,n=t.d*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentOver?s:0,a=this.isLineAbove?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing1,i.big_op_spacing3-Math.max(0,n)))-o;return[c,e.h*e.rscale+c+n]},t.prototype.getUnderKV=function(e,t){var r=this.node.attributes.get(\"accentunder\"),i=this.font.params,n=t.h*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentUnder?s:0,a=this.isLineBelow?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing2,i.big_op_spacing4-n))-o;return[c,-(e.d*e.rscale+c+n)]},t.prototype.getDeltaW=function(e,t){var r,i,n,s;void 0===t&&(t=[0,0,0]);var o=this.node.attributes.get(\"align\"),l=e.map((function(e){return e.w*e.rscale}));l[0]-=this.baseRemoveIc&&!this.baseCore.node.attributes.get(\"largeop\")?this.baseIc:0;var u=Math.max.apply(Math,c([],a(l))),d=[],p=0;try{for(var f=h(l.keys()),b=f.next();!b.done;b=f.next()){var y=b.value;d[y]=(\"center\"===o?(u-l[y])/2:\"right\"===o?u-l[y]:0)+t[y],d[y]<p&&(p=-d[y])}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}if(p)try{for(var g=h(d.keys()),v=g.next();!v.done;v=g.next()){y=v.value;d[y]+=p}}catch(e){n={error:e}}finally{try{v&&!v.done&&(s=g.return)&&s.call(g)}finally{if(n)throw n.error}}return[1,2].map((function(t){return d[t]+=e[t]?e[t].dx*e[0].scale:0})),d},t.prototype.getDelta=function(e){void 0===e&&(e=!1);var t=this.node.attributes.get(\"accent\"),r=this.baseCore.getBBox(),i=r.sk,n=r.ic;return((t&&!e?i:0)+this.font.skewIcFactor*n)*this.baseScale},t.prototype.stretchChildren=function(){var e,t,r,i,n,s,o=[];try{for(var a=h(this.childNodes),c=a.next();!c.done;c=a.next()){(C=c.value).canStretch(2)&&o.push(C)}}catch(t){e={error:t}}finally{try{c&&!c.done&&(t=a.return)&&t.call(a)}finally{if(e)throw e.error}}var l=o.length,u=this.childNodes.length;if(l&&u>1){var d=0,p=l>1&&l===u;try{for(var f=h(this.childNodes),b=f.next();!b.done;b=f.next()){var y=0===(C=b.value).stretch.dir;if(p||y){var g=C.getBBox(y),v=g.w,m=g.rscale;v*m>d&&(d=v*m)}}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}try{for(var B=h(o),x=B.next();!x.done;x=B.next()){var C;(C=x.value).coreMO().getStretchedVariant([d/C.bbox.rscale])}}catch(e){n={error:e}}finally{try{x&&!x.done&&(s=B.return)&&s.call(B)}finally{if(n)throw n.error}}}},t}(e),t.useIC=!0,t}},\n",
-       "      620: function _(t,e,i,r,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),u=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,n,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(r=o.next()).done;)s.push(r.value)}catch(t){n={error:t}}finally{try{r&&!r.done&&(i=o.return)&&i.call(o)}finally{if(n)throw n.error}}return s};r(),i.CommonMsubMixin=function(t){var e;return e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[0,-this.getV()]},e}(t),e.useIC=!1,e},i.CommonMsupMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[this.getAdjustedIc()-(this.baseRemoveIc?0:this.baseIc),this.getU()]},e}(t)},i.CommonMsubsupMixin=function(t){var e;return e=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.UVQ=null,e}return s(e,t),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i=this.baseChild.getBBox(),r=u([this.subChild.getBBox(),this.supChild.getBBox()],2),n=r[0],o=r[1];t.empty(),t.append(i);var s=this.getBaseWidth(),h=this.getAdjustedIc(),c=u(this.getUVQ(),2),a=c[0],l=c[1];t.combine(n,s,l),t.combine(o,s+h,a),t.w+=this.font.params.scriptspace,t.clean(),this.setChildPWidths(e)},e.prototype.getUVQ=function(t,e){void 0===t&&(t=this.subChild.getBBox()),void 0===e&&(e=this.supChild.getBBox());var i=this.baseCore.getBBox();if(this.UVQ)return this.UVQ;var r=this.font.params,n=3*r.rule_thickness,o=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub2),s=this.baseCharZero(i.d*this.baseScale+r.sub_drop*t.rscale),h=u([this.getU(),Math.max(s,o)],2),c=h[0],a=h[1],l=c-e.d*e.rscale-(t.h*t.rscale-a);if(l<n){a+=n-l;var p=.8*r.x_height-(c-e.d*e.rscale);p>0&&(c+=p,a-=p)}return c=Math.max(this.length2em(this.node.attributes.get(\"superscriptshift\"),c),c),a=Math.max(this.length2em(this.node.attributes.get(\"subscriptshift\"),a),a),l=c-e.d*e.rscale-(t.h*t.rscale-a),this.UVQ=[c,-a,l],this.UVQ},e}(t),e.useIC=!1,e}},\n",
-       "      621: function _(t,e,r,n,o){var u,i=this&&this.__extends||(u=function(t,e){return u=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},u(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}u(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};n();var p=t(529),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msubsup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,n){var o=this.childNodes;o[0].setInheritedAttributes(t,e,r,n),o[1].setInheritedAttributes(t,!1,r+1,n||1===this.sub),o[2]&&o[2].setInheritedAttributes(t,!1,r+1,n||2===this.sub)},e.defaults=s(s({},p.AbstractMmlBaseNode.defaults),{subscriptshift:\"\",superscriptshift:\"\"}),e}(p.AbstractMmlBaseNode);r.MmlMsubsup=c;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msub\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsub=f;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsup=a},\n",
-       "      622: function _(t,e,o,i,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),l=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var i,r,n=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(i=n.next()).done;)s.push(i.value)}catch(t){r={error:t}}finally{try{i&&!i.done&&(o=n.return)&&o.call(n)}finally{if(r)throw r.error}}return s};i();var a=t(617),h=t(623),p=t(623),u=t(623),c=t(624),d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineBelow?0:this.getDelta(!0),u=this.getUnderKV(a,h)[1],c=l(this.getDeltaW([a,h],[0,-p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMunder.prototype.kind,e}(h.CommonMunderMixin(a.SVGmsub));o.SVGmunder=d;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineAbove?0:this.getDelta(),u=this.getOverKU(a,h)[1],c=l(this.getDeltaW([a,h],[0,p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMover.prototype.kind,e}(p.CommonMoverMixin(a.SVGmsup));o.SVGmover=f;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.overChild,this.underChild],3),r=i[0],n=i[1],s=i[2],a=l([r.getBBox(),n.getBBox(),s.getBBox()],3),h=a[0],p=a[1],u=a[2];r.toSVG(o),s.toSVG(o),n.toSVG(o);var c=this.getDelta(),d=this.getOverKU(h,p)[1],f=this.getUnderKV(h,u)[1],v=l(this.getDeltaW([h,u,p],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),y=v[0],S=v[1],V=v[2];r.place(y,0),s.place(S,f),n.place(V,d)}},e.kind=c.MmlMunderover.prototype.kind,e}(u.CommonMunderoverMixin(a.SVGmsubsup));o.SVGmunderover=v},\n",
-       "      623: function _(t,e,i,o,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,r,n=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){r={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return s},c=this&&this.__spreadArray||function(t,e){for(var i=0,o=e.length,r=t.length;i<o;i++,r++)t[r]=e[i];return t};o(),i.CommonMunderMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e,i){if(void 0===i&&(i=!1),this.hasMovableLimits())t.prototype.computeBBox.call(this,e,i);else{e.empty();var o=this.baseChild.getBBox(),r=this.scriptChild.getBBox(),n=this.getUnderKV(o,r)[1],s=this.isLineBelow?0:this.getDelta(!0),c=h(this.getDeltaW([o,r],[0,-s]),2),l=c[0],u=c[1];e.combine(o,l,0),e.combine(r,u,n),e.d+=this.font.params.big_op_spacing5,e.clean(),this.setChildPWidths(i)}},e}(t)},i.CommonMoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.baseChild.getBBox(),o=this.scriptChild.getBBox(),r=this.getOverKU(i,o)[1],n=this.isLineAbove?0:this.getDelta(),s=h(this.getDeltaW([i,o],[0,n]),2),c=s[0],l=s[1];e.combine(i,c,0),e.combine(o,l,r),e.h+=this.font.params.big_op_spacing5,e.clean()}},e}(t)},i.CommonMunderoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"underChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"overChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.underChild},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.overChild},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.overChild.getBBox(),o=this.baseChild.getBBox(),r=this.underChild.getBBox(),n=this.getOverKU(o,i)[1],s=this.getUnderKV(o,r)[1],c=this.getDelta(),l=h(this.getDeltaW([o,r,i],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),u=l[0],a=l[1],p=l[2];e.combine(o,u,0),e.combine(i,p,n),e.combine(r,a,s);var f=this.font.params.big_op_spacing5;e.h+=f,e.d+=f,e.clean()}},e}(t)}},\n",
-       "      624: function _(e,t,r,n,i){var o,u=this&&this.__extends||(o=function(e,t){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},o(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}o(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(e){for(var t,r=1,n=arguments.length;r<n;r++)for(var i in t=arguments[r])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e},c.apply(this,arguments)};n();var a=e(529),l=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munderover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),t.prototype.setChildInheritedAttributes=function(e,t,r,n){var i=this.childNodes;i[0].setInheritedAttributes(e,t,r,n||!!i[this.over]);var o=!(t||!i[0].coreMO().attributes.get(\"movablelimits\")),u=this.constructor.ACCENTS;i[1].setInheritedAttributes(e,!1,this.getScriptlevel(u[1],o,r),n||1===this.under),this.setInheritedAccent(1,u[1],t,r,n,o),i[2]&&(i[2].setInheritedAttributes(e,!1,this.getScriptlevel(u[2],o,r),n||2===this.under),this.setInheritedAccent(2,u[2],t,r,n,o))},t.prototype.getScriptlevel=function(e,t,r){return!t&&this.attributes.get(e)||r++,r},t.prototype.setInheritedAccent=function(e,t,r,n,i,o){var u=this.childNodes[e];if(null==this.attributes.getExplicit(t)&&u.isEmbellished){var c=u.coreMO().attributes.get(\"accent\");this.attributes.setInherited(t,c),c!==this.attributes.getDefault(t)&&u.setInheritedAttributes({},r,this.getScriptlevel(t,o,n),i)}},t.defaults=c(c({},a.AbstractMmlBaseNode.defaults),{accent:!1,accentunder:!1,align:\"center\"}),t.ACCENTS=[\"\",\"accentunder\",\"accent\"],t}(a.AbstractMmlBaseNode);r.MmlMunderover=l;var s=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munder\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t}(l);r.MmlMunder=s;var p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"mover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t.ACCENTS=[\"\",\"accent\",\"accentunder\"],t}(l);r.MmlMover=p},\n",
-       "      625: function _(t,r,i,o,e){var n,s=this&&this.__extends||(n=function(t,r){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var i in r)Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i])},n(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,r),t.prototype=null===r?Object.create(r):(i.prototype=r.prototype,new i)}),p=this&&this.__read||function(t,r){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,e,n=i.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){e={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return s};o();var c=t(617),a=t(626),u=t(627),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),i=this.scriptData,o=this.combinePrePost(i.sub,i.psub),e=this.combinePrePost(i.sup,i.psup),n=p(this.getUVQ(o,e),2),s=n[0],c=n[1],a=0;i.numPrescripts&&(a=this.addScripts(.05,s,c,!0,this.firstPrescript,i.numPrescripts));var u=this.baseChild;u.toSVG(r),u.place(a,0),a+=u.getBBox().w,i.numScripts&&this.addScripts(a,s,c,!1,1,i.numScripts)},r.prototype.addScripts=function(t,r,i,o,e,n){var s=this.adaptor,c=s.append(this.element,this.svg(\"g\")),a=s.append(this.element,this.svg(\"g\"));this.place(t,r,c),this.place(t,i,a);for(var u=e+2*n,l=0;e<u;){var h=p([this.childNodes[e++],this.childNodes[e++]],2),f=h[0],d=h[1],y=p([f.getBBox(),d.getBBox()],2),m=y[0],v=y[1],S=p([m.rscale,v.rscale],2),_=S[0],b=S[1],w=Math.max(m.w*_,v.w*b);f.toSVG(a),d.toSVG(c),f.place(l+(o?w-m.w*_:0),0),d.place(l+(o?w-v.w*b:0),0),l+=w}return t+l},r.kind=u.MmlMmultiscripts.prototype.kind,r}(a.CommonMmultiscriptsMixin(c.SVGmsubsup));i.SVGmmultiscripts=l},\n",
-       "      626: function _(t,s,i,r,e){var n,o=this&&this.__extends||(n=function(t,s){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,s){t.__proto__=s}||function(t,s){for(var i in s)Object.prototype.hasOwnProperty.call(s,i)&&(t[i]=s[i])},n(t,s)},function(t,s){if(\"function\"!=typeof s&&null!==s)throw new TypeError(\"Class extends value \"+String(s)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,s),t.prototype=null===s?Object.create(s):(i.prototype=s.prototype,new i)}),p=this&&this.__read||function(t,s){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,e,n=i.call(t),o=[];try{for(;(void 0===s||s-- >0)&&!(r=n.next()).done;)o.push(r.value)}catch(t){e={error:t}}finally{try{r&&!r.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return o},u=this&&this.__spreadArray||function(t,s){for(var i=0,r=s.length,e=t.length;i<r;i++,e++)t[e]=s[i];return t},a=this&&this.__values||function(t){var s=\"function\"==typeof Symbol&&Symbol.iterator,i=s&&t[s],r=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(s?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var c=t(573);i.NextScript={base:\"subList\",subList:\"supList\",supList:\"subList\",psubList:\"psupList\",psupList:\"psubList\"},i.ScriptNames=[\"sup\",\"sup\",\"psup\",\"psub\"],i.CommonMmultiscriptsMixin=function(t){return function(t){function s(){for(var s=[],i=0;i<arguments.length;i++)s[i]=arguments[i];var r=t.apply(this,u([],p(s)))||this;return r.scriptData=null,r.firstPrescript=0,r.getScriptData(),r}return o(s,t),s.prototype.combinePrePost=function(t,s){var i=new c.BBox(t);return i.combine(s,0,0),i},s.prototype.computeBBox=function(t,s){void 0===s&&(s=!1);var i=this.font.params.scriptspace,r=this.scriptData,e=this.combinePrePost(r.sub,r.psub),n=this.combinePrePost(r.sup,r.psup),o=p(this.getUVQ(e,n),2),u=o[0],a=o[1];if(t.empty(),r.numPrescripts&&(t.combine(r.psup,i,u),t.combine(r.psub,i,a)),t.append(r.base),r.numScripts){var c=t.w;t.combine(r.sup,c,u),t.combine(r.sub,c,a),t.w+=i}t.clean(),this.setChildPWidths(s)},s.prototype.getScriptData=function(){var t=this.scriptData={base:null,sub:c.BBox.empty(),sup:c.BBox.empty(),psub:c.BBox.empty(),psup:c.BBox.empty(),numPrescripts:0,numScripts:0},s=this.getScriptBBoxLists();this.combineBBoxLists(t.sub,t.sup,s.subList,s.supList),this.combineBBoxLists(t.psub,t.psup,s.psubList,s.psupList),t.base=s.base[0],t.numPrescripts=s.psubList.length,t.numScripts=s.subList.length},s.prototype.getScriptBBoxLists=function(){var t,s,r={base:[],subList:[],supList:[],psubList:[],psupList:[]},e=\"base\";try{for(var n=a(this.childNodes),o=n.next();!o.done;o=n.next()){var p=o.value;p.node.isKind(\"mprescripts\")?e=\"psubList\":(r[e].push(p.getBBox()),e=i.NextScript[e])}}catch(s){t={error:s}}finally{try{o&&!o.done&&(s=n.return)&&s.call(n)}finally{if(t)throw t.error}}return this.firstPrescript=r.subList.length+r.supList.length+2,this.padLists(r.subList,r.supList),this.padLists(r.psubList,r.psupList),r},s.prototype.padLists=function(t,s){t.length>s.length&&s.push(c.BBox.empty())},s.prototype.combineBBoxLists=function(t,s,i,r){for(var e=0;e<i.length;e++){var n=p(this.getScaledWHD(i[e]),3),o=n[0],u=n[1],a=n[2],c=p(this.getScaledWHD(r[e]),3),h=c[0],l=c[1],b=c[2],f=Math.max(o,h);t.w+=f,s.w+=f,u>t.h&&(t.h=u),a>t.d&&(t.d=a),l>s.h&&(s.h=l),b>s.d&&(s.d=b)}},s.prototype.getScaledWHD=function(t){var s=t.w,i=t.h,r=t.d,e=t.rscale;return[s*e,i*e,r*e]},s.prototype.getUVQ=function(s,i){var r;if(!this.UVQ){var e=p([0,0,0],3),n=e[0],o=e[1],u=e[2];0===s.h&&0===s.d?n=this.getU():0===i.h&&0===i.d?n=-this.getV():(n=(r=p(t.prototype.getUVQ.call(this,s,i),3))[0],o=r[1],u=r[2]),this.UVQ=[n,o,u]}return this.UVQ},s}(t)}},\n",
-       "      627: function _(t,e,r,i,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},c.apply(this,arguments)};i();var u=t(529),l=t(621),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mmultiscripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,i){this.childNodes[0].setInheritedAttributes(t,e,r,i);for(var n=!1,o=1,s=0;o<this.childNodes.length;o++){var c=this.childNodes[o];if(c.isKind(\"mprescripts\")){if(!n&&(n=!0,o%2==0)){var u=this.factory.create(\"mrow\");this.childNodes.splice(o,0,u),u.parent=this,o++}}else{var l=i||s%2==0;c.setInheritedAttributes(t,!1,r+1,l),s++}}this.childNodes.length%2==(n?1:0)&&(this.appendChild(this.factory.create(\"mrow\")),this.childNodes[this.childNodes.length-1].setInheritedAttributes(t,!1,r+1,i))},e.prototype.verifyChildren=function(e){for(var r=!1,i=e.fixMmultiscripts,n=0;n<this.childNodes.length;n++){var o=this.childNodes[n];o.isKind(\"mprescripts\")&&(r?o.mError(o.kind+\" can only appear once in \"+this.kind,e,!0):(r=!0,n%2!=0||i||this.mError(\"There must be an equal number of prescripts of each type\",e)))}this.childNodes.length%2!=(r?1:0)||i||this.mError(\"There must be an equal number of scripts of each type\",e),t.prototype.verifyChildren.call(this,e)},e.defaults=c({},l.MmlMsubsup.defaults),e}(l.MmlMsubsup);r.MmlMmultiscripts=p;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mprescripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMprescripts=a;var h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"none\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlNone=h},\n",
-       "      628: function _(t,e,i,s,a){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var s,a,n=i.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(s=n.next()).done;)o.push(s.value)}catch(t){a={error:t}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(a)throw a.error}}return o},r=this&&this.__spreadArray||function(t,e){for(var i=0,s=e.length,a=t.length;i<s;i++,a++)t[a]=e[i];return t};s();var l=t(570),d=t(629),p=t(631),f=function(t){function e(e,i,s){void 0===s&&(s=null);var a=t.call(this,e,i,s)||this,n={\"data-labels\":!0};return a.isTop&&(n.transform=\"matrix(1 0 0 -1 0 0)\"),a.labels=a.svg(\"g\",n),a}return o(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeRows(e),this.handleColumnLines(e),this.handleRowLines(e),this.handleFrame(e);var i=this.handlePWidth(e);this.handleLabels(e,t,i)},e.prototype.placeRows=function(t){for(var e,i,s,a=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),o=n.H,l=n.D,d=this.getEqualRowHeight(),p=this.getRowHalfSpacing(),f=r(r([this.fLine],h(this.rLines)),[this.fLine]),c=this.getBBox().h-f[0],g=0;g<this.numRows;g++){var u=this.childNodes[g];e=h(this.getRowHD(a,d,o[g],l[g]),2),u.H=e[0],u.D=e[1],i=h([p[g],p[g+1]],2),u.tSpace=i[0],u.bSpace=i[1],s=h([f[g],f[g+1]],2),u.tLine=s[0],u.bLine=s[1],u.toSVG(t),u.place(0,c-p[g]-u.H),c-=p[g]+u.H+u.D+p[g+1]+f[g+1]}},e.prototype.getRowHD=function(t,e,i,s){return t?[(e+i-s)/2,(e-i+s)/2]:[i,s]},e.prototype.handleColor=function(){t.prototype.handleColor.call(this);var e=this.firstChild();e&&this.adaptor.setAttribute(e,\"width\",this.fixed(this.getWidth()))},e.prototype.handleColumnLines=function(t){if(\"none\"!==this.node.attributes.get(\"columnlines\")){var e=this.getColumnAttributes(\"columnlines\");if(e)for(var i=this.getColumnHalfSpacing(),s=this.cLines,a=this.getComputedWidths(),n=this.fLine,o=0;o<e.length;o++)n+=i[o]+a[o]+i[o+1],\"none\"!==e[o]&&this.adaptor.append(t,this.makeVLine(n,e[o],s[o])),n+=s[o]}},e.prototype.handleRowLines=function(t){if(\"none\"!==this.node.attributes.get(\"rowlines\")){var e=this.getRowAttributes(\"rowlines\");if(e)for(var i=this.node.attributes.get(\"equalrows\"),s=this.getTableData(),a=s.H,n=s.D,o=this.getEqualRowHeight(),r=this.getRowHalfSpacing(),l=this.rLines,d=this.getBBox().h-this.fLine,p=0;p<e.length;p++){var f=h(this.getRowHD(i,o,a[p],n[p]),2),c=f[0],g=f[1];d-=r[p]+c+g+r[p+1],\"none\"!==e[p]&&this.adaptor.append(t,this.makeHLine(d,e[p],l[p])),d-=l[p]}}},e.prototype.handleFrame=function(t){if(this.frame&&this.fLine){var e=this.getBBox(),i=e.h,s=e.d,a=e.w,n=this.node.attributes.get(\"frame\");this.adaptor.append(t,this.makeFrame(a,i,s,n))}},e.prototype.handlePWidth=function(t){if(!this.pWidth)return 0;var e=this.getBBox(),i=e.w,s=e.L,a=e.R,n=s+this.pWidth+a,o=this.getAlignShift()[0],h=Math.max(this.isTop?n:0,this.container.getWrapWidth(this.containerI))-s-a,r=i-(this.pWidth>h?h:this.pWidth),l=\"left\"===o?0:\"right\"===o?r:r/2;if(l){var d=this.svg(\"g\",{},this.adaptor.childNodes(t));this.place(l,0,d),this.adaptor.append(t,d)}return l},e.prototype.lineClass=function(t){return\"mjx-\"+t},e.prototype.makeFrame=function(t,e,i,s){var a=this.fLine;return this.svg(\"rect\",this.setLineThickness(a,s,{\"data-frame\":!0,class:this.lineClass(s),width:this.fixed(t-a),height:this.fixed(e+i-a),x:this.fixed(a/2),y:this.fixed(a/2-i)}))},e.prototype.makeVLine=function(t,e,i){var s=this.getBBox(),a=s.h,n=s.d,o=\"dotted\"===e?i/2:0,h=this.fixed(t+i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"v\",class:this.lineClass(e),x1:h,y1:this.fixed(o-n),x2:h,y2:this.fixed(a-o)}))},e.prototype.makeHLine=function(t,e,i){var s=this.getBBox().w,a=\"dotted\"===e?i/2:0,n=this.fixed(t-i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"h\",class:this.lineClass(e),x1:this.fixed(a),y1:n,x2:this.fixed(s-a),y2:n}))},e.prototype.setLineThickness=function(t,e,i){return.07!==t&&(i[\"stroke-thickness\"]=this.fixed(t),\"solid\"!==e&&(i[\"stroke-dasharray\"]=(\"dotted\"===e?\"0,\":\"\")+this.fixed(2*t))),i},e.prototype.handleLabels=function(t,e,i){if(this.hasLabels){var s=this.labels,a=this.node.attributes.get(\"side\");this.spaceLabels(),this.isTop?this.topTable(t,s,a):this.subTable(t,s,a,i)}},e.prototype.spaceLabels=function(){for(var t=this.adaptor,e=this.getBBox().h,i=this.getTableData().L,s=this.getRowHalfSpacing(),a=e-this.fLine,n=t.firstChild(this.labels),o=0;o<this.numRows;o++){var h=this.childNodes[o];if(h.node.isKind(\"mlabeledtr\")){var r=h.childNodes[0];a-=s[o]+h.H,h.placeCell(r,{x:0,y:a,w:i,lSpace:0,rSpace:0,lLine:0,rLine:0}),a-=h.D+s[o+1]+this.rLines[o],n=t.next(n)}else a-=s[o]+h.H+h.D+s[o+1]+this.rLines[o]}},e.prototype.topTable=function(t,e,i){var s=this.adaptor,a=this.getBBox(),n=a.h,o=a.d,r=a.w,l=a.L,d=a.R,p=l+(this.pWidth||r)+d,f=this.getTableData().L,c=h(this.getPadAlignShift(i),3),g=c[1],u=c[2]+(\"right\"===g?-p:\"center\"===g?-p/2:0)+l,x=\"matrix(1 0 0 -1 0 0)\",m=\"scale(\"+this.jax.fixed(1e3*this.font.params.x_height/this.metrics.ex,2)+\")\",v=\"translate(0 \"+this.fixed(n)+\") \"+x+\" \"+m,b=this.svg(\"svg\",{\"data-table\":!0,preserveAspectRatio:\"left\"===g?\"xMinYMid\":\"right\"===g?\"xMaxYMid\":\"xMidYMid\",viewBox:[this.fixed(-u),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[this.svg(\"g\",{transform:x},s.childNodes(t))]);e=this.svg(\"svg\",{\"data-labels\":!0,preserveAspectRatio:\"left\"===i?\"xMinYMid\":\"xMaxYMid\",viewBox:[\"left\"===i?0:this.fixed(f),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[e]),s.append(t,this.svg(\"g\",{transform:v},[b,e])),this.place(-l,0,t)},e.prototype.subTable=function(t,e,i,s){var a=this.adaptor,n=this.getBBox(),o=n.w,h=n.L,r=n.R,l=h+(this.pWidth||o)+r,d=this.getTableData().L,p=this.getAlignShift()[0],f=Math.max(l,this.container.getWrapWidth(this.containerI));this.place(\"left\"===i?(\"left\"===p?0:\"right\"===p?l-f+s:(l-f)/2+s)-h:(\"left\"===p?f:\"right\"===p?l+s:(f+l)/2+s)-h-d,0,e),a.append(t,e)},e.kind=p.MmlMtable.prototype.kind,e.styles={'g[data-mml-node=\"mtable\"] > line[data-line], svg[data-table] > g > line[data-line]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > rect[data-frame], svg[data-table] > g > rect[data-frame]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > .mjx-dashed, svg[data-table] > g > .mjx-dashed':{\"stroke-dasharray\":\"140\"},'g[data-mml-node=\"mtable\"] > .mjx-dotted, svg[data-table] > g > .mjx-dotted':{\"stroke-linecap\":\"round\",\"stroke-dasharray\":\"0,140\"},'g[data-mml-node=\"mtable\"] > g > svg':{overflow:\"visible\"}},e}(d.CommonMtableMixin(l.SVGWrapper));i.SVGmtable=f},\n",
-       "      629: function _(t,e,i,n,r){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var n,r,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(i=o.return)&&i.call(o)}finally{if(r)throw r.error}}return s},h=this&&this.__spreadArray||function(t,e){for(var i=0,n=e.length,r=t.length;i<n;i++,r++)t[r]=e[i];return t},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,i=e&&t[e],n=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(573),c=t(526),f=t(630);i.CommonMtableMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var n=t.apply(this,h([],a(e)))||this;n.numCols=0,n.numRows=0,n.data=null,n.pwidthCells=[],n.pWidth=0,n.numCols=f.max(n.tableRows.map((function(t){return t.numCells}))),n.numRows=n.childNodes.length,n.hasLabels=n.childNodes.reduce((function(t,e){return t||e.node.isKind(\"mlabeledtr\")}),!1),n.findContainer(),n.isTop=!n.container||n.container.node.isKind(\"math\")&&!n.container.parent,n.isTop&&(n.jax.table=n),n.getPercentageWidth();var r=n.node.attributes;return n.frame=\"none\"!==r.get(\"frame\"),n.fLine=n.frame&&r.get(\"frame\")?.07:0,n.fSpace=n.frame?n.convertLengths(n.getAttributeArray(\"framespacing\")):[0,0],n.cSpace=n.convertLengths(n.getColumnAttributes(\"columnspacing\")),n.rSpace=n.convertLengths(n.getRowAttributes(\"rowspacing\")),n.cLines=n.getColumnAttributes(\"columnlines\").map((function(t){return\"none\"===t?0:.07})),n.rLines=n.getRowAttributes(\"rowlines\").map((function(t){return\"none\"===t?0:.07})),n.cWidths=n.getColumnWidths(),n.stretchRows(),n.stretchColumns(),n}return s(e,t),Object.defineProperty(e.prototype,\"tableRows\",{get:function(){return this.childNodes},enumerable:!1,configurable:!0}),e.prototype.findContainer=function(){for(var t=this,e=t.parent;e&&(e.node.notParent||e.node.isKind(\"mrow\"));)t=e,e=e.parent;this.container=e,this.containerI=t.node.childPosition()},e.prototype.getPercentageWidth=function(){if(this.hasLabels)this.bbox.pwidth=u.BBox.fullWidth;else{var t=this.node.attributes.get(\"width\");c.isPercent(t)&&(this.bbox.pwidth=t)}},e.prototype.stretchRows=function(){for(var t=this.node.attributes.get(\"equalrows\"),e=t?this.getEqualRowHeight():0,i=t?this.getTableData():{H:[0],D:[0]},n=i.H,r=i.D,o=this.tableRows,s=0;s<this.numRows;s++){var a=t?[(e+n[s]-r[s])/2,(e-n[s]+r[s])/2]:null;o[s].stretchChildren(a)}},e.prototype.stretchColumns=function(){for(var t=0;t<this.numCols;t++){var e=\"number\"==typeof this.cWidths[t]?this.cWidths[t]:null;this.stretchColumn(t,e)}},e.prototype.stretchColumn=function(t,e){var i,n,r,o,s,a,h=[];try{for(var u=l(this.tableRows),c=u.next();!c.done;c=u.next()){if(y=c.value.getChild(t))0===(C=y.childNodes[0]).stretch.dir&&C.canStretch(2)&&h.push(C)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(n=u.return)&&n.call(u)}finally{if(i)throw i.error}}var f=h.length,p=this.childNodes.length;if(f&&p>1){if(null===e){e=0;var d=f>1&&f===p;try{for(var g=l(this.tableRows),m=g.next();!m.done;m=g.next()){var y;if(y=m.value.getChild(t)){var v=0===(C=y.childNodes[0]).stretch.dir;if(d||v){var b=C.getBBox(v).w;b>e&&(e=b)}}}}catch(t){r={error:t}}finally{try{m&&!m.done&&(o=g.return)&&o.call(g)}finally{if(r)throw r.error}}}try{for(var w=l(h),x=w.next();!x.done;x=w.next()){var C;(C=x.value).coreMO().getStretchedVariant([e])}}catch(t){s={error:t}}finally{try{x&&!x.done&&(a=w.return)&&a.call(w)}finally{if(s)throw s.error}}}},e.prototype.getTableData=function(){if(this.data)return this.data;for(var t=new Array(this.numRows).fill(0),e=new Array(this.numRows).fill(0),i=new Array(this.numCols).fill(0),n=new Array(this.numRows),r=new Array(this.numRows),o=[0],s=this.tableRows,a=0;a<s.length;a++){for(var h=0,l=s[a],u=l.node.attributes.get(\"rowalign\"),c=0;c<l.numCells;c++){var f=l.getChild(c);h=this.updateHDW(f,c,a,u,t,e,i,h),this.recordPWidthCell(f,c)}n[a]=t[a],r[a]=e[a],l.labeled&&(h=this.updateHDW(l.childNodes[0],0,a,u,t,e,o,h)),this.extendHD(a,t,e,h),this.extendHD(a,n,r,h)}var p=o[0];return this.data={H:t,D:e,W:i,NH:n,ND:r,L:p},this.data},e.prototype.updateHDW=function(t,e,i,n,r,o,s,a){var h=t.getBBox(),l=h.h,u=h.d,c=h.w,f=t.parent.bbox.rscale;1!==t.parent.bbox.rscale&&(l*=f,u*=f,c*=f),this.node.getProperty(\"useHeight\")&&(l<.75&&(l=.75),u<.25&&(u=.25));var p=0;return\"baseline\"!==(n=t.node.attributes.get(\"rowalign\")||n)&&\"axis\"!==n&&(p=l+u,l=u=0),l>r[i]&&(r[i]=l),u>o[i]&&(o[i]=u),p>a&&(a=p),s&&c>s[e]&&(s[e]=c),a},e.prototype.extendHD=function(t,e,i,n){var r=(n-(e[t]+i[t]))/2;r<1e-5||(e[t]+=r,i[t]+=r)},e.prototype.recordPWidthCell=function(t,e){t.childNodes[0]&&t.childNodes[0].getBBox().pwidth&&this.pwidthCells.push([t,e])},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i,n,r=this.getTableData(),o=r.H,s=r.D;if(this.node.attributes.get(\"equalrows\")){var h=this.getEqualRowHeight();i=f.sum([].concat(this.rLines,this.rSpace))+h*this.numRows}else i=f.sum(o.concat(s,this.rLines,this.rSpace));i+=2*(this.fLine+this.fSpace[1]);var l=this.getComputedWidths();n=f.sum(l.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]);var u=this.node.attributes.get(\"width\");\"auto\"!==u&&(n=Math.max(this.length2em(u,0)+2*this.fLine,n));var p=a(this.getBBoxHD(i),2),d=p[0],g=p[1];t.h=d,t.d=g,t.w=n;var m=a(this.getBBoxLR(),2),y=m[0],v=m[1];t.L=y,t.R=v,c.isPercent(u)||this.setColumnPWidths()},e.prototype.setChildPWidths=function(t,e,i){var n=this.node.attributes.get(\"width\");if(!c.isPercent(n))return!1;this.hasLabels||(this.bbox.pwidth=\"\",this.container.bbox.pwidth=\"\");var r=this.bbox,o=r.w,s=r.L,a=r.R,h=this.node.attributes.get(\"data-width-includes-label\"),l=Math.max(o,this.length2em(n,Math.max(e,s+o+a)))-(h?s+a:0),u=this.node.attributes.get(\"equalcolumns\")?Array(this.numCols).fill(this.percent(1/Math.max(1,this.numCols))):this.getColumnAttributes(\"columnwidth\",0);this.cWidths=this.getColumnWidthsFixed(u,l);var p=this.getComputedWidths();return this.pWidth=f.sum(p.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]),this.isTop&&(this.bbox.w=this.pWidth),this.setColumnPWidths(),this.pWidth!==o&&this.parent.invalidateBBox(),this.pWidth!==o},e.prototype.setColumnPWidths=function(){var t,e,i=this.cWidths;try{for(var n=l(this.pwidthCells),r=n.next();!r.done;r=n.next()){var o=a(r.value,2),s=o[0],h=o[1];s.setChildPWidths(!1,i[h])&&(s.invalidateBBox(),s.getBBox())}}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},e.prototype.getBBoxHD=function(t){var e=a(this.getAlignmentRow(),2),i=e[0],n=e[1];if(null===n){var r=this.font.params.axis_height,o=t/2;return{top:[0,t],center:[o,o],bottom:[t,0],baseline:[o,o],axis:[o+r,o-r]}[i]||[o,o]}var s=this.getVerticalPosition(n,i);return[s,t-s]},e.prototype.getBBoxLR=function(){if(this.hasLabels){var t=this.node.attributes,e=t.get(\"side\"),i=a(this.getPadAlignShift(e),2),n=i[0],r=i[1],o=this.hasLabels&&!!t.get(\"data-width-includes-label\");return o&&this.frame&&this.fSpace[0]&&(n-=this.fSpace[0]),\"center\"!==r||o?\"left\"===e?[n,0]:[0,n]:[n,n]}return[0,0]},e.prototype.getPadAlignShift=function(t){var e=this.getTableData().L+this.length2em(this.node.attributes.get(\"minlabelspacing\")),i=a(null==this.styles?[\"\",\"\"]:[this.styles.get(\"padding-left\"),this.styles.get(\"padding-right\")],2),n=i[0],r=i[1];(n||r)&&(e=Math.max(e,this.length2em(n||\"0\"),this.length2em(r||\"0\")));var o=a(this.getAlignShift(),2),s=o[0],h=o[1];return s===t&&(h=\"left\"===t?Math.max(e,h)-e:Math.min(-e,h)+e),[e,s,h]},e.prototype.getAlignShift=function(){return this.isTop?t.prototype.getAlignShift.call(this):[this.container.getChildAlign(this.containerI),0]},e.prototype.getWidth=function(){return this.pWidth||this.getBBox().w},e.prototype.getEqualRowHeight=function(){var t=this.getTableData(),e=t.H,i=t.D,n=Array.from(e.keys()).map((function(t){return e[t]+i[t]}));return Math.max.apply(Math,n)},e.prototype.getComputedWidths=function(){var t=this,e=this.getTableData().W,i=Array.from(e.keys()).map((function(i){return\"number\"==typeof t.cWidths[i]?t.cWidths[i]:e[i]}));return this.node.attributes.get(\"equalcolumns\")&&(i=Array(i.length).fill(f.max(i))),i},e.prototype.getColumnWidths=function(){var t=this.node.attributes.get(\"width\");if(this.node.attributes.get(\"equalcolumns\"))return this.getEqualColumns(t);var e=this.getColumnAttributes(\"columnwidth\",0);return\"auto\"===t?this.getColumnWidthsAuto(e):c.isPercent(t)?this.getColumnWidthsPercent(e):this.getColumnWidthsFixed(e,this.length2em(t))},e.prototype.getEqualColumns=function(t){var e,i=Math.max(1,this.numCols);if(\"auto\"===t){var n=this.getTableData().W;e=f.max(n)}else if(c.isPercent(t))e=this.percent(1/i);else{var r=f.sum([].concat(this.cLines,this.cSpace))+2*this.fSpace[0];e=Math.max(0,this.length2em(t)-r)/i}return Array(this.numCols).fill(e)},e.prototype.getColumnWidthsAuto=function(t){var e=this;return t.map((function(t){return\"auto\"===t||\"fit\"===t?null:c.isPercent(t)?t:e.length2em(t)}))},e.prototype.getColumnWidthsPercent=function(t){var e=this,i=t.indexOf(\"fit\")>=0,n=(i?this.getTableData():{W:null}).W;return Array.from(t.keys()).map((function(r){var o=t[r];return\"fit\"===o?null:\"auto\"===o?i?n[r]:null:c.isPercent(o)?o:e.length2em(o)}))},e.prototype.getColumnWidthsFixed=function(t,e){var i=this,n=Array.from(t.keys()),r=n.filter((function(e){return\"fit\"===t[e]})),o=n.filter((function(e){return\"auto\"===t[e]})),s=r.length||o.length,a=(s?this.getTableData():{W:null}).W,h=e-f.sum([].concat(this.cLines,this.cSpace))-2*this.fSpace[0],l=h;n.forEach((function(e){var n=t[e];l-=\"fit\"===n||\"auto\"===n?a[e]:i.length2em(n,h)}));var u=s&&l>0?l/s:0;return n.map((function(e){var n=t[e];return\"fit\"===n?a[e]+u:\"auto\"===n?a[e]+(0===r.length?u:0):i.length2em(n,h)}))},e.prototype.getVerticalPosition=function(t,e){for(var i=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),r=n.H,o=n.D,s=i?this.getEqualRowHeight():0,h=this.getRowHalfSpacing(),l=this.fLine,u=0;u<t;u++)l+=h[u]+(i?s:r[u]+o[u])+h[u+1]+this.rLines[u];var c=a(i?[(s+r[t]-o[t])/2,(s-r[t]+o[t])/2]:[r[t],o[t]],2),f=c[0],p=c[1];return l+={top:0,center:h[t]+(f+p)/2,bottom:h[t]+f+p+h[t+1],baseline:h[t]+f,axis:h[t]+f-.25}[e]||0},e.prototype.getEmHalfSpacing=function(t,e,i){void 0===i&&(i=1);var n=this.em(t*i),r=this.addEm(e,2/i);return r.unshift(n),r.push(n),r},e.prototype.getRowHalfSpacing=function(){var t=this.rSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[1]),t.push(this.fSpace[1]),t},e.prototype.getColumnHalfSpacing=function(){var t=this.cSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[0]),t.push(this.fSpace[0]),t},e.prototype.getAlignmentRow=function(){var t=a(c.split(this.node.attributes.get(\"align\")),2),e=t[0],i=t[1];if(null==i)return[e,null];var n=parseInt(i);return n<0&&(n+=this.numRows+1),[e,n<1||n>this.numRows?null:n-1]},e.prototype.getColumnAttributes=function(t,e){void 0===e&&(e=1);var i=this.numCols-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getRowAttributes=function(t,e){void 0===e&&(e=1);var i=this.numRows-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getAttributeArray=function(t){var e=this.node.attributes.get(t);return e?c.split(e):[this.node.attributes.getDefault(t)]},e.prototype.addEm=function(t,e){var i=this;return void 0===e&&(e=1),t?t.map((function(t){return i.em(t/e)})):null},e.prototype.convertLengths=function(t){var e=this;return t?t.map((function(t){return e.length2em(t)})):null},e}(t)}},\n",
-       "      630: function _(n,u,r,t,e){t(),r.sum=function(n){return n.reduce((function(n,u){return n+u}),0)},r.max=function(n){return n.reduce((function(n,u){return Math.max(n,u)}),0)}},\n",
-       "      631: function _(t,e,r,n,i){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(529),c=t(526),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.properties={useHeight:!0},e.texclass=u.TEXCLASS.ORD,e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mtable\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setInheritedAttributes=function(e,r,n,i){var o,l;try{for(var a=s(u.indentAttributes),c=a.next();!c.done;c=a.next()){var h=c.value;e[h]&&this.attributes.setInherited(h,e[h][1]),void 0!==this.attributes.getExplicit(h)&&delete this.attributes.getAllAttributes()[h]}}catch(t){o={error:t}}finally{try{c&&!c.done&&(l=a.return)&&l.call(a)}finally{if(o)throw o.error}}t.prototype.setInheritedAttributes.call(this,e,r,n,i)},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o,l,a;try{for(var u=s(this.childNodes),h=u.next();!h.done;h=u.next()){(b=h.value).isKind(\"mtr\")||this.replaceChild(this.factory.create(\"mtr\"),b).appendChild(b)}}catch(t){i={error:t}}finally{try{h&&!h.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}r=this.getProperty(\"scriptlevel\")||r,e=!(!this.attributes.getExplicit(\"displaystyle\")&&!this.attributes.getDefault(\"displaystyle\")),t=this.addInheritedAttributes(t,{columnalign:this.attributes.get(\"columnalign\"),rowalign:\"center\"});var f=this.attributes.getExplicit(\"data-cramped\"),p=c.split(this.attributes.get(\"rowalign\"));try{for(var d=s(this.childNodes),y=d.next();!y.done;y=d.next()){var b=y.value;t.rowalign[1]=p.shift()||t.rowalign[1],b.setInheritedAttributes(t,e,r,!!f)}}catch(t){l={error:t}}finally{try{y&&!y.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},e.prototype.verifyChildren=function(e){var r,n;if(!e.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){o.value.isKind(\"mtr\")||this.mError(\"Children of \"+this.kind+\" must be mtr or mlabeledtr\",e)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}t.prototype.verifyChildren.call(this,e)},e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.defaults=a(a({},u.AbstractMmlNode.defaults),{align:\"axis\",rowalign:\"baseline\",columnalign:\"center\",groupalign:\"{left}\",alignmentscope:!0,columnwidth:\"auto\",width:\"auto\",rowspacing:\"1ex\",columnspacing:\".8em\",rowlines:\"none\",columnlines:\"none\",frame:\"none\",framespacing:\"0.4em 0.5ex\",equalrows:!1,equalcolumns:!1,displaystyle:!1,side:\"right\",minlabelspacing:\"0.8em\"}),e}(u.AbstractMmlNode);r.MmlMtable=h},\n",
-       "      632: function _(t,e,r,i,n){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,n,o=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(i=o.next()).done;)l.push(i.value)}catch(t){n={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(n)throw n.error}}return l},s=this&&this.__spreadArray||function(t,e){for(var r=0,i=e.length,n=t.length;r<i;r++,n++)t[n]=e[r];return t};i();var p=t(570),h=t(633),c=t(633),u=t(634),f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeCells(e),this.placeColor()},e.prototype.placeCells=function(t){for(var e=this.parent.getColumnHalfSpacing(),r=s(s([this.parent.fLine],a(this.parent.cLines)),[this.parent.fLine]),i=this.parent.getComputedWidths(),n=1/this.getBBox().rscale,o=r[0],l=0;l<this.numCells;l++){var p=this.getChild(l);p.toSVG(t),o+=this.placeCell(p,{x:o,y:0,lSpace:e[l]*n,rSpace:e[l+1]*n,w:i[l]*n,lLine:r[l]*n,rLine:r[l+1]*n})}},e.prototype.placeCell=function(t,e){var r=e.x,i=e.y,n=e.lSpace,o=e.w,l=e.rSpace,s=e.lLine,p=e.rLine,h=1/this.getBBox().rscale,c=a([this.H*h,this.D*h],2),u=c[0],f=c[1],d=a([this.tSpace*h,this.bSpace*h],2),y=d[0],S=d[1],b=a(t.placeCell(r+n,i,o,u,f),2),v=b[0],C=b[1],_=n+o+l;return t.placeColor(-(v+n+s/2),-(f+S+C),_+(s+p)/2,u+f+y+S),_+p},e.prototype.placeColor=function(){var t=1/this.getBBox().rscale,e=this.adaptor,r=this.firstChild();if(r&&\"rect\"===e.kind(r)&&e.getAttribute(r,\"data-bgcolor\")){var i=a([this.tLine/2*t,this.bLine/2*t],2),n=i[0],o=i[1],l=a([this.tSpace*t,this.bSpace*t],2),s=l[0],p=l[1],h=a([this.H*t,this.D*t],2),c=h[0],u=h[1];e.setAttribute(r,\"y\",this.fixed(-(u+p+o))),e.setAttribute(r,\"width\",this.fixed(this.parent.getWidth()*t)),e.setAttribute(r,\"height\",this.fixed(n+s+c+u+p+o))}},e.kind=u.MmlMtr.prototype.kind,e}(h.CommonMtrMixin(p.SVGWrapper));r.SVGmtr=f;var d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(e){t.prototype.toSVG.call(this,e);var r=this.childNodes[0];r&&r.toSVG(this.parent.labels)},e.kind=u.MmlMlabeledtr.prototype.kind,e}(c.CommonMlabeledtrMixin(f));r.SVGmlabeledtr=d},\n",
-       "      633: function _(e,t,r,n,o){var i,l=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),u=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n(),r.CommonMtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return this.childNodes.length},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"labeled\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"tableCells\",{get:function(){return this.childNodes},enumerable:!1,configurable:!0}),t.prototype.getChild=function(e){return this.childNodes[e]},t.prototype.getChildBBoxes=function(){return this.childNodes.map((function(e){return e.getBBox()}))},t.prototype.stretchChildren=function(e){var t,r,n,o,i,l;void 0===e&&(e=null);var c=[],a=this.labeled?this.childNodes.slice(1):this.childNodes;try{for(var f=u(a),h=f.next();!h.done;h=f.next()){(j=h.value.childNodes[0]).canStretch(1)&&c.push(j)}}catch(e){t={error:e}}finally{try{h&&!h.done&&(r=f.return)&&r.call(f)}finally{if(t)throw t.error}}var s=c.length,d=this.childNodes.length;if(s&&d>1){if(null===e){var p=0,y=0,b=s>1&&s===d;try{for(var g=u(a),v=g.next();!v.done;v=g.next()){var m=0===(j=v.value.childNodes[0]).stretch.dir;if(b||m){var x=j.getBBox(m),O=x.h,N=x.d;O>p&&(p=O),N>y&&(y=N)}}}catch(e){n={error:e}}finally{try{v&&!v.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}e=[p,y]}try{for(var _=u(c),C=_.next();!C.done;C=_.next()){var j;(j=C.value).coreMO().getStretchedVariant(e)}}catch(e){i={error:e}}finally{try{C&&!C.done&&(l=_.return)&&l.call(_)}finally{if(i)throw i.error}}}},t}(e)},r.CommonMlabeledtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return Math.max(0,this.childNodes.length-1)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"labeled\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"tableCells\",{get:function(){return this.childNodes.slice(1)},enumerable:!1,configurable:!0}),t.prototype.getChild=function(e){return this.childNodes[e+1]},t.prototype.getChildBBoxes=function(){return this.childNodes.slice(1).map((function(e){return e.getBBox()}))},t}(e)}},\n",
-       "      634: function _(t,r,e,n,i){var o,l=this&&this.__extends||(o=function(t,r){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},o(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}o(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var r,e=1,n=arguments.length;e<n;e++)for(var i in r=arguments[e])Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],n=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(529),c=t(530),f=t(526),h=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),r.prototype.setChildInheritedAttributes=function(t,r,e,n){var i,o,l,a;try{for(var u=s(this.childNodes),c=u.next();!c.done;c=u.next()){(y=c.value).isKind(\"mtd\")||this.replaceChild(this.factory.create(\"mtd\"),y).appendChild(y)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}var h=f.split(this.attributes.get(\"columnalign\"));1===this.arity&&h.unshift(this.parent.attributes.get(\"side\")),t=this.addInheritedAttributes(t,{rowalign:this.attributes.get(\"rowalign\"),columnalign:\"center\"});try{for(var d=s(this.childNodes),p=d.next();!p.done;p=d.next()){var y=p.value;t.columnalign[1]=h.shift()||t.columnalign[1],y.setInheritedAttributes(t,r,e,n)}}catch(t){l={error:t}}finally{try{p&&!p.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},r.prototype.verifyChildren=function(r){var e,n;if(!this.parent||this.parent.isKind(\"mtable\")){if(!r.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){var l=o.value;if(!l.isKind(\"mtd\"))this.replaceChild(this.factory.create(\"mtr\"),l).mError(\"Children of \"+this.kind+\" must be mtd\",r,!0)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(e)throw e.error}}t.prototype.verifyChildren.call(this,r)}else this.mError(this.kind+\" can only be a child of an mtable\",r,!0)},r.prototype.setTeXclass=function(t){var r,e;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){r={error:t}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(r)throw r.error}}return this},r.defaults=a(a({},u.AbstractMmlNode.defaults),{rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),r}(u.AbstractMmlNode);e.MmlMtr=h;var d=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mlabeledtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),r}(h);e.MmlMlabeledtr=d},\n",
-       "      635: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)});o();var a=t(570),u=t(636),p=t(637),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.placeCell=function(t,e,i,o,n){var r=this.getBBox(),s=Math.max(r.h,.75),a=Math.max(r.d,.25),u=this.node.attributes.get(\"columnalign\"),p=this.node.attributes.get(\"rowalign\"),c=this.getAlignX(i,r,u),l=this.getAlignY(o,n,s,a,p);return this.place(t+c,e+l),[c,l]},e.prototype.placeColor=function(t,e,i,o){var n=this.adaptor,r=this.firstChild();r&&\"rect\"===n.kind(r)&&n.getAttribute(r,\"data-bgcolor\")&&(n.setAttribute(r,\"x\",this.fixed(t)),n.setAttribute(r,\"y\",this.fixed(e)),n.setAttribute(r,\"width\",this.fixed(i)),n.setAttribute(r,\"height\",this.fixed(o)))},e.kind=p.MmlMtd.prototype.kind,e}(u.CommonMtdMixin(a.SVGWrapper));i.SVGmtd=c},\n",
-       "      636: function _(t,n,o,e,r){var i,u=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});e(),o.CommonMtdMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return u(n,t),Object.defineProperty(n.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),n.prototype.invalidateBBox=function(){this.bboxComputed=!1},n.prototype.getWrapWidth=function(t){var n=this.parent.parent,o=this.parent,e=this.node.childPosition()-(o.labeled?1:0);return\"number\"==typeof n.cWidths[e]?n.cWidths[e]:n.getTableData().W[e]},n.prototype.getChildAlign=function(t){return this.node.attributes.get(\"columnalign\")},n}(t)}},\n",
-       "      637: function _(t,e,n,r,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var o in e=arguments[n])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};r();var l=t(529),c=t(530),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mtd\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.verifyChildren=function(e){!this.parent||this.parent.isKind(\"mtr\")?t.prototype.verifyChildren.call(this,e):this.mError(this.kind+\" can only be a child of an mtr or mlabeledtr\",e,!0)},e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.defaults=s(s({},l.AbstractMmlBaseNode.defaults),{rowspan:1,columnspan:1,rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),e}(l.AbstractMmlBaseNode);n.MmlMtd=u},\n",
-       "      638: function _(t,e,o,n,i){var a,s=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)});n();var r=t(570),l=t(639),d=t(639),p=t(640),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t),o=this.selected,n=o.getBBox(),i=n.h,a=n.d,s=n.w;this.adaptor.append(this.element,this.svg(\"rect\",{width:this.fixed(s),height:this.fixed(i+a),y:this.fixed(-a),fill:\"none\",\"pointer-events\":\"all\"})),o.toSVG(e),this.action(this,this.data)},e.prototype.setEventHandler=function(t,e){this.element.addEventListener(t,e)},e.kind=p.MmlMaction.prototype.kind,e.styles={'[jax=\"SVG\"] mjx-tool':{display:\"inline-block\",position:\"relative\",width:0,height:0},'[jax=\"SVG\"] mjx-tool > mjx-tip':{position:\"absolute\",top:0,left:0},\"mjx-tool > mjx-tip\":{display:\"inline-block\",padding:\".2em\",border:\"1px solid #888\",\"font-size\":\"70%\",\"background-color\":\"#F8F8F8\",color:\"black\",\"box-shadow\":\"2px 2px 5px #AAAAAA\"},'g[data-mml-node=\"maction\"][data-toggle]':{cursor:\"pointer\"},\"mjx-status\":{display:\"block\",position:\"fixed\",left:\"1em\",bottom:\"1em\",\"min-width\":\"25%\",padding:\".2em .4em\",border:\"1px solid #888\",\"font-size\":\"90%\",\"background-color\":\"#F8F8F8\",color:\"black\"}},e.actions=new Map([[\"toggle\",[function(t,e){t.adaptor.setAttribute(t.element,\"data-toggle\",t.node.attributes.get(\"selection\"));var o=t.factory.jax.math,n=t.factory.jax.document,i=t.node;t.setEventHandler(\"click\",(function(t){o.end.node||(o.start.node=o.end.node=o.typesetRoot,o.start.n=o.end.n=0),i.nextToggleSelection(),o.rerender(n),t.stopPropagation()}))},{}]],[\"tooltip\",[function(t,e){var o=t.childNodes[1];if(o){var n=t.firstChild();if(o.node.isKind(\"mtext\")){var i=o.node.getText();t.adaptor.insert(t.svg(\"title\",{},[t.text(i)]),n)}else{var a=t.adaptor,s=t.jax.container,r=t.node.factory.create(\"math\",{},[t.childNodes[1].node]),l=t.html(\"mjx-tool\",{},[t.html(\"mjx-tip\")]),d=a.append(n,t.svg(\"foreignObject\",{style:{display:\"none\"}},[l]));t.jax.processMath(r,a.firstChild(l)),t.childNodes[1].node.parent=t.node,t.setEventHandler(\"mouseover\",(function(o){e.stopTimers(t,e),e.hoverTimer.set(t,setTimeout((function(){a.setStyle(l,\"left\",\"0\"),a.setStyle(l,\"top\",\"0\"),a.append(s,l);var e=a.nodeBBox(l),o=a.nodeBBox(t.element),n=(o.right-e.left)/t.metrics.em+t.dx,i=(o.bottom-e.bottom)/t.metrics.em+t.dy;a.setStyle(l,\"left\",t.px(n)),a.setStyle(l,\"top\",t.px(i))}),e.postDelay)),o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(o){e.stopTimers(t,e);var n=setTimeout((function(){return a.append(d,l)}),e.clearDelay);e.clearTimer.set(t,n),o.stopPropagation()}))}}},d.TooltipData]],[\"statusline\",[function(t,e){var o=t.childNodes[1];if(o&&o.node.isKind(\"mtext\")){var n=t.adaptor,i=o.node.getText();n.setAttribute(t.element,\"data-statusline\",i),t.setEventHandler(\"mouseover\",(function(o){if(null===e.status){var a=n.body(n.document);e.status=n.append(a,t.html(\"mjx-status\",{},[t.text(i)]))}o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(t){e.status&&(n.remove(e.status),e.status=null),t.stopPropagation()}))}},{status:null}]]]),e}(l.CommonMactionMixin(r.SVGWrapper));o.SVGmaction=c},\n",
-       "      639: function _(t,e,r,o,n){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return a},c=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var l=t(526);r.TooltipData={dx:\".2em\",dy:\".1em\",postDelay:600,clearDelay:100,hoverTimer:new Map,clearTimer:new Map,stopTimers:function(t,e){e.clearTimer.has(t)&&(clearTimeout(e.clearTimer.get(t)),e.clearTimer.delete(t)),e.hoverTimer.has(t)&&(clearTimeout(e.hoverTimer.get(t)),e.hoverTimer.delete(t))}},r.CommonMactionMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,c([],s(e)))||this,n=o.constructor.actions,i=o.node.attributes.get(\"actiontype\"),a=s(n.get(i)||[function(t,e){},{}],2),l=a[0],u=a[1];return o.action=l,o.data=u,o.getParameters(),o}return a(e,t),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.node.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.wrap(this.node.selected)},enumerable:!1,configurable:!0}),e.prototype.getParameters=function(){var t=this.node.attributes.get(\"data-offsets\"),e=s(l.split(t||\"\"),2),o=e[0],n=e[1];this.dx=this.length2em(o||r.TooltipData.dx),this.dy=this.length2em(n||r.TooltipData.dy)},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.updateFrom(this.selected.getBBox()),this.selected.setChildPWidths(e)},e}(t)}},\n",
-       "      640: function _(t,e,o,r,i){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,o=1,r=arguments.length;o<r;o++)for(var i in e=arguments[o])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},c.apply(this,arguments)};r();var l=t(529),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"maction\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.factory.create(\"mrow\")},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.selected.isEmbellished},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return this.selected.isSpacelike},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.selected.core()},e.prototype.coreMO=function(){return this.selected.coreMO()},e.prototype.verifyAttributes=function(e){(t.prototype.verifyAttributes.call(this,e),\"toggle\"!==this.attributes.get(\"actiontype\")&&void 0!==this.attributes.getExplicit(\"selection\"))&&delete this.attributes.getAllAttributes().selection},e.prototype.setTeXclass=function(t){\"tooltip\"===this.attributes.get(\"actiontype\")&&this.childNodes[1]&&this.childNodes[1].setTeXclass(null);var e=this.selected;return t=e.setTeXclass(t),this.updateTeXclass(e),t},e.prototype.nextToggleSelection=function(){var t=Math.max(1,this.attributes.get(\"selection\")+1);t>this.childNodes.length&&(t=1),this.attributes.set(\"selection\",t)},e.defaults=c(c({},l.AbstractMmlNode.defaults),{actiontype:\"toggle\",selection:1}),e}(l.AbstractMmlNode);o.MmlMaction=u},\n",
-       "      641: function _(t,r,e,o,n){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},d=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return s};o();var h=t(570),l=t(642),f=t(644),u=t(645),p=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r,e,o=this.standardSVGnode(t),n=this.getBBoxExtenders()[3],i={};n>0&&(i.transform=\"translate(\"+this.fixed(n)+\", 0)\");var s=this.adaptor.append(o,this.svg(\"g\",i));this.renderChild?this.renderChild(this,s):this.childNodes[0].toSVG(s);try{for(var d=a(Object.keys(this.notations)),h=d.next();!h.done;h=d.next()){var l=h.value,f=this.notations[l];!f.renderChild&&f.renderer(this,o)}}catch(t){r={error:t}}finally{try{h&&!h.done&&(e=d.return)&&e.call(d)}finally{if(r)throw r.error}}},r.prototype.arrow=function(t,r,e,o,n){void 0===o&&(o=\"\"),void 0===n&&(n=0);var i=this.getBBox(),s=i.w,a=(t-s)/2,h=(i.h-i.d)/2,l=this.thickness,f=l/2,u=d([l*this.arrowhead.x,l*this.arrowhead.y,l*this.arrowhead.dx],3),p=u[0],c=u[1],x=u[2],g=e?this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",p-a,h+f,\"l\",x,c-f,\"l\",-(p+x),-c,\"l\",p+x,-c,\"l\",-x,c-f,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"):this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",-a,h+f,\"l\",0,-l,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"),v=[];if(n&&v.push(\"X\"===o?\"translate(\"+this.fixed(-n)+\" 0)\":\"translate(0 \"+this.fixed(n)+\")\"),r){var w=this.jax.fixed(180*-r/Math.PI);v.push(\"rotate(\"+w+\" \"+this.fixed(s/2)+\" \"+this.fixed(h)+\")\")}return v.length&&this.adaptor.setAttribute(g,\"transform\",v.join(\" \")),g},r.prototype.line=function(t){var r=d(t,4),e=r[0],o=r[1],n=r[2],i=r[3];return this.svg(\"line\",{x1:this.fixed(e),y1:this.fixed(o),x2:this.fixed(n),y2:this.fixed(i),\"stroke-width\":this.fixed(this.thickness)})},r.prototype.box=function(t,r,e,o){void 0===o&&(o=0);var n=this.thickness,i={x:this.fixed(n/2),y:this.fixed(n/2-e),width:this.fixed(t-n),height:this.fixed(r+e-n),fill:\"none\",\"stroke-width\":this.fixed(n)};return o&&(i.rx=this.fixed(o)),this.svg(\"rect\",i)},r.prototype.ellipse=function(t,r,e){var o=this.thickness;return this.svg(\"ellipse\",{rx:this.fixed((t-o)/2),ry:this.fixed((r+e-o)/2),cx:this.fixed(t/2),cy:this.fixed((r-e)/2),fill:\"none\",\"stroke-width\":this.fixed(o)})},r.prototype.path=function(t){for(var r=this,e=[],o=1;o<arguments.length;o++)e[o-1]=arguments[o];return this.svg(\"path\",{d:e.map((function(t){return\"string\"==typeof t?t:r.fixed(t)})).join(\" \"),style:{\"stroke-width\":this.fixed(this.thickness)},\"stroke-linecap\":\"round\",\"stroke-linejoin\":t,fill:\"none\"})},r.prototype.fill=function(){for(var t=this,r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];return this.svg(\"path\",{d:r.map((function(r){return\"string\"==typeof r?r:t.fixed(r)})).join(\" \")})},r.kind=u.MmlMenclose.prototype.kind,r.notations=new Map([f.Border(\"top\"),f.Border(\"right\"),f.Border(\"bottom\"),f.Border(\"left\"),f.Border2(\"actuarial\",\"top\",\"right\"),f.Border2(\"madruwb\",\"bottom\",\"right\"),f.DiagonalStrike(\"up\"),f.DiagonalStrike(\"down\"),[\"horizontalstrike\",{renderer:f.RenderLine(\"horizontal\",\"Y\"),bbox:function(t){return[0,t.padding,0,t.padding]}}],[\"verticalstrike\",{renderer:f.RenderLine(\"vertical\",\"X\"),bbox:function(t){return[t.padding,0,t.padding,0]}}],[\"box\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d;t.adaptor.append(t.element,t.box(o,n,i))},bbox:f.fullBBox,border:f.fullBorder,remove:\"left right top bottom\"}],[\"roundedbox\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness+t.padding;t.adaptor.append(t.element,t.box(o,n,i,s))},bbox:f.fullBBox}],[\"circle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d;t.adaptor.append(t.element,t.ellipse(o,n,i))},bbox:f.fullBBox}],[\"phasorangle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.getArgMod(1.75*t.padding,n+i)[0],a=t.thickness/2,d=n+i,h=Math.cos(s);t.adaptor.append(t.element,t.path(\"mitre\",\"M\",o,a-i,\"L\",a+h*a,a-i,\"L\",h*d+a,d-i-a))},bbox:function(t){var r=t.padding/2,e=t.thickness;return[2*r,r,r+e,3*r+e]},border:function(t){return[0,0,t.thickness,0]},remove:\"bottom\"}],f.Arrow(\"up\"),f.Arrow(\"down\"),f.Arrow(\"left\"),f.Arrow(\"right\"),f.Arrow(\"updown\"),f.Arrow(\"leftright\"),f.DiagonalArrow(\"updiagonal\"),f.DiagonalArrow(\"northeast\"),f.DiagonalArrow(\"southeast\"),f.DiagonalArrow(\"northwest\"),f.DiagonalArrow(\"southwest\"),f.DiagonalArrow(\"northeastsouthwest\"),f.DiagonalArrow(\"northwestsoutheast\"),[\"longdiv\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness/2,a=t.padding;t.adaptor.append(t.element,t.path(\"round\",\"M\",s,s-i,\"a\",a-s/2,(n+i)/2-4*s,0,\"0,1\",0,n+i-2*s,\"L\",o-s,n-s))},bbox:function(t){var r=t.padding,e=t.thickness;return[r+e,r,r,2*r+e/2]}}],[\"radical\",{renderer:function(t,r){t.msqrt.toSVG(r);var e=t.sqrtTRBL()[3];t.place(-e,0,r)},init:function(t){t.msqrt=t.createMsqrt(t.childNodes[0])},bbox:function(t){return t.sqrtTRBL()},renderChild:!0}]]),r}(l.CommonMencloseMixin(h.SVGWrapper));e.SVGmenclose=p},\n",
-       "      642: function _(t,r,e,o,n){var i,a=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return a},h=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var d=t(643),c=t(526);e.CommonMencloseMixin=function(t){return function(t){function r(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];var o=t.apply(this,h([],s(r)))||this;return o.notations={},o.renderChild=null,o.msqrt=null,o.padding=d.PADDING,o.thickness=d.THICKNESS,o.arrowhead={x:d.ARROWX,y:d.ARROWY,dx:d.ARROWDX},o.TRBL=[0,0,0,0],o.getParameters(),o.getNotations(),o.removeRedundantNotations(),o.initializeNotations(),o.TRBL=o.getBBoxExtenders(),o}return a(r,t),r.prototype.getParameters=function(){var t=this.node.attributes,r=t.get(\"data-padding\");void 0!==r&&(this.padding=this.length2em(r,d.PADDING));var e=t.get(\"data-thickness\");void 0!==e&&(this.thickness=this.length2em(e,d.THICKNESS));var 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n=l(Object.keys(this.notations)),i=n.next();!i.done;i=n.next()){var a=i.value,s=this.notations[a].border;s&&this.maximizeEntries(o,s(this))}}catch(r){t={error:r}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(t)throw t.error}}return[0,1,2,3].map((function(t){return e.TRBL[t]-o[t]}))},r.prototype.maximizeEntries=function(t,r){for(var e=0;e<t.length;e++)t[e]<r[e]&&(t[e]=r[e])},r.prototype.getOffset=function(t){var r=s(this.TRBL,4),e=r[0],o=r[1],n=r[2],i=r[3],a=(\"X\"===t?o-i:n-e)/2;return Math.abs(a)>.001?a:0},r.prototype.getArgMod=function(t,r){return[Math.atan2(r,t),Math.sqrt(t*t+r*r)]},r.prototype.arrow=function(t,r,e,o,n){return void 0===o&&(o=\"\"),void 0===n&&(n=0),null},r.prototype.arrowData=function(){var t=s([this.padding,this.thickness],2),r=t[0],e=t[1]*(this.arrowhead.x+Math.max(1,this.arrowhead.dx)),o=this.childNodes[0].getBBox(),n=o.h,i=o.d,a=o.w,h=n+i,l=Math.sqrt(h*h+a*a),d=Math.max(r,e*a/l),c=Math.max(r,e*h/l),u=s(this.getArgMod(a+2*d,h+2*c),2);return{a:u[0],W:u[1],x:d,y:c}},r.prototype.arrowAW=function(){var t=this.childNodes[0].getBBox(),r=t.h,e=t.d,o=t.w,n=s(this.TRBL,4),i=n[0],a=n[1],h=n[2],l=n[3];return this.getArgMod(l+o+a,i+r+e+h)},r.prototype.createMsqrt=function(t){var r=this.node.factory.create(\"msqrt\");r.inheritAttributesFrom(this.node),r.childNodes[0]=t.node;var e=this.wrap(r);return e.parent=this,e},r.prototype.sqrtTRBL=function(){var t=this.msqrt.getBBox(),r=this.msqrt.childNodes[0].getBBox();return[t.h-r.h,0,t.d-r.d,t.w-r.w]},r}(t)}},\n",
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-       "      644: function _(n,t,e,r,o){var i=this&&this.__createBinding||(Object.create?function(n,t,e,r){void 0===r&&(r=e),Object.defineProperty(n,r,{enumerable:!0,get:function(){return t[e]}})}:function(n,t,e,r){void 0===r&&(r=e),n[r]=t[e]}),a=this&&this.__exportStar||function(n,t){for(var e in n)\"default\"===e||Object.prototype.hasOwnProperty.call(t,e)||i(t,n,e)};r();var u=n(643);a(n(643),e),e.computeLineData={top:function(n,t,e,r){return[0,n-r,e,n-r]},right:function(n,t,e,r){return[e-r,-t,e-r,n]},bottom:function(n,t,e,r){return[0,r-t,e,r-t]},left:function(n,t,e,r){return[r,-t,r,n]},vertical:function(n,t,e,r){return[e/2,n,e/2,-t]},horizontal:function(n,t,e,r){return[0,(n-t)/2,e,(n-t)/2]},up:function(n,t,e,r){return[r,r-t,e-r,n-r]},down:function(n,t,e,r){return[r,n-r,e-r,r-t]}};e.lineData=function(n,t,r){void 0===r&&(r=\"\");var o=n.getBBox(),i=o.h,a=o.d,u=o.w,f=n.thickness/2;return e.lineOffset(e.computeLineData[t](i,a,u,f),n,r)};e.lineOffset=function(n,t,e){if(e){var r=t.getOffset(e);r&&(\"X\"===e?(n[0]-=r,n[2]-=r):(n[1]-=r,n[3]-=r))}return n};e.RenderLine=function(n,t){return void 0===t&&(t=\"\"),function(r,o){var i=r.line(e.lineData(r,n,t));r.adaptor.append(r.element,i)}};e.Border=function(n){return u.CommonBorder((function(t,r){t.adaptor.append(t.element,t.line(e.lineData(t,n)))}))(n)};e.Border2=function(n,t,r){return u.CommonBorder2((function(n,o){n.adaptor.append(n.element,n.line(e.lineData(n,t))),n.adaptor.append(n.element,n.line(e.lineData(n,r)))}))(n,t,r)};e.DiagonalStrike=function(n){return u.CommonDiagonalStrike((function(t){return function(t,r){t.adaptor.append(t.element,t.line(e.lineData(t,n)))}}))(n)};e.DiagonalArrow=function(n){return u.CommonDiagonalArrow((function(n,t){n.adaptor.append(n.element,t)}))(n)};e.Arrow=function(n){return u.CommonArrow((function(n,t){n.adaptor.append(n.element,t)}))(n)}},\n",
-       "      645: function _(t,e,n,r,o){var i,c=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var o in e=arguments[n])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};r();var u=t(529),a=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return c(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"menclose\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContininer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return t=this.childNodes[0].setTeXclass(t),this.updateTeXclass(this.childNodes[0]),t},e.defaults=s(s({},u.AbstractMmlNode.defaults),{notation:\"longdiv\"}),e}(u.AbstractMmlNode);n.MmlMenclose=a},\n",
-       "      646: function _(t,n,o,i,e){var r,a=this&&this.__extends||(r=function(t,n){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},r(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});i();var p=t(570),s=t(647),c=t(648),l=t(529),u=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return a(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t);this.childNodes.length&&this.childNodes[0].toSVG(n)},n.kind=c.MmlSemantics.prototype.kind,n}(s.CommonSemanticsMixin(p.SVGWrapper));o.SVGsemantics=u;var h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return a(n,t),n.prototype.toSVG=function(n){t.prototype.toSVG.call(this,n)},n.prototype.computeBBox=function(){return this.bbox},n.kind=c.MmlAnnotation.prototype.kind,n}(p.SVGWrapper);o.SVGannotation=h;var f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return a(n,t),n.kind=c.MmlAnnotationXML.prototype.kind,n.styles={\"foreignObject[data-mjx-xml]\":{\"font-family\":\"initial\",\"line-height\":\"normal\",overflow:\"visible\"}},n}(p.SVGWrapper);o.SVGannotationXML=f;var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return a(n,t),n.prototype.toSVG=function(t){var n=this.adaptor.clone(this.node.getXML()),o=this.jax.math.metrics.em*this.jax.math.metrics.scale,i=this.fixed(1/o),e=this.getBBox(),r=e.w,a=e.h,p=e.d;this.element=this.adaptor.append(t,this.svg(\"foreignObject\",{\"data-mjx-xml\":!0,y:this.jax.fixed(-a*o)+\"px\",width:this.jax.fixed(r*o)+\"px\",height:this.jax.fixed((a+p)*o)+\"px\",transform:\"scale(\"+i+\") matrix(1 0 0 -1 0 0)\"},[n]))},n.prototype.computeBBox=function(t,n){void 0===n&&(n=!1);var o=this.jax.measureXMLnode(this.node.getXML()),i=o.w,e=o.h,r=o.d;t.w=i,t.h=e,t.d=r},n.prototype.getStyles=function(){},n.prototype.getScale=function(){},n.prototype.getVariant=function(){},n.kind=l.XMLNode.prototype.kind,n.autoStyle=!1,n}(p.SVGWrapper);o.SVGxml=d},\n",
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e=this.window.getComputedStyle(t);return parseFloat(e.fontSize)},e.prototype.fontFamily=function(t){return this.window.getComputedStyle(t).fontFamily||\"\"},e.prototype.nodeSize=function(t,e,r){if(void 0===e&&(e=1),void 0===r&&(r=!1),r&&t.getBBox){var o=t.getBBox();return[o.width/e,o.height/e]}return[t.offsetWidth/e,t.offsetHeight/e]},e.prototype.nodeBBox=function(t){var e=t.getBoundingClientRect();return{left:e.left,right:e.right,top:e.top,bottom:e.bottom}},e}(t(712).AbstractDOMAdaptor);r.HTMLAdaptor=a},\n",
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-       "      713: function _(r,e,n,a,t){a();var i=r(516),H=r(714);n.RegisterHTMLHandler=function(r){var e=new H.HTMLHandler(r);return i.mathjax.handlers.register(e),e}},\n",
-       "      714: function _(t,n,e,o,r){var a,i=this&&this.__extends||(a=function(t,n){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var e in n)Object.prototype.hasOwnProperty.call(n,e)&&(t[e]=n[e])},a(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function e(){this.constructor=t}a(t,n),t.prototype=null===n?Object.create(n):(e.prototype=n.prototype,new e)});o();var c=t(715),s=t(727),p=function(t){function n(){var n=null!==t&&t.apply(this,arguments)||this;return n.documentClass=s.HTMLDocument,n}return i(n,t),n.prototype.handlesDocument=function(t){var n=this.adaptor;if(\"string\"==typeof t)try{t=n.parse(t,\"text/html\")}catch(t){}return t instanceof n.window.Document||t instanceof n.window.HTMLElement||t instanceof n.window.DocumentFragment},n.prototype.create=function(n,e){var o=this.adaptor;if(\"string\"==typeof n)n=o.parse(n,\"text/html\");else if(n instanceof o.window.HTMLElement||n instanceof o.window.DocumentFragment){var r=n;n=o.parse(\"\",\"text/html\"),o.append(o.body(n),r)}return t.prototype.create.call(this,n,e)},n}(c.AbstractHandler);e.HTMLHandler=p},\n",
-       "      715: function _(t,n,o,r,e){var c,i=this&&this.__extends||(c=function(t,n){return c=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},c(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}c(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var u=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i(n,t),n}(t(716).AbstractMathDocument),s=function(){function t(t,n){void 0===n&&(n=5),this.documentClass=u,this.adaptor=t,this.priority=n}return Object.defineProperty(t.prototype,\"name\",{get:function(){return this.constructor.NAME},enumerable:!1,configurable:!0}),t.prototype.handlesDocument=function(t){return!1},t.prototype.create=function(t,n){return new this.documentClass(t,this.adaptor,n)},t.NAME=\"generic\",t}();o.AbstractHandler=s},\n",
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t,r;if(!this.processed.isSet(\"typeset\")){try{for(var e=s(this.math),n=e.next();!n.done;n=e.next()){var o=n.value;try{o.typeset(this)}catch(t){if(t.retry||t.restart)throw t;this.options.typesetError(this,o,t),o.outputData.error=t}}}catch(r){t={error:r}}finally{try{n&&!n.done&&(r=e.return)&&r.call(e)}finally{if(t)throw t.error}}this.processed.set(\"typeset\")}return this},t.prototype.typesetError=function(t,r){t.typesetRoot=this.adaptor.node(\"mjx-container\",{class:\"MathJax mjx-output-error\",jax:this.outputJax.name},[this.adaptor.node(\"span\",{\"data-mjx-error\":r.message,title:r.message,style:{color:\"red\",\"background-color\":\"yellow\",\"line-height\":\"normal\"}},[this.adaptor.text(\"Math output error\")])]),t.display&&this.adaptor.setAttributes(t.typesetRoot,{style:{display:\"block\",margin:\"1em 0\",\"text-align\":\"center\"}}),t.outputData.error=r.message},t.prototype.getMetrics=function(){return 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-       "      726: function _(t,r,n,e,o){var i,a=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&(t[n]=r[n])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}),l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,n=r&&t[r],e=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},s=this&&this.__read||function(t,r){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var e,o,i=n.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(t){o={error:t}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__spreadArray||function(t,r){for(var n=0,e=r.length,o=t.length;n<e;n++,o++)t[o]=r[n];return t};e();var f=function(){function t(){this.bits=0}return t.allocate=function(){for(var r,n,e=[],o=0;o<arguments.length;o++)e[o]=arguments[o];try{for(var i=l(e),a=i.next();!a.done;a=i.next()){var s=a.value;if(this.has(s))throw new Error(\"Bit already allocated for \"+s);if(this.next===t.MAXBIT)throw new Error(\"Maximum number of bits already allocated\");this.names.set(s,this.next),this.next<<=1}}catch(t){r={error:t}}finally{try{a&&!a.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}},t.has=function(t){return this.names.has(t)},t.prototype.set=function(t){this.bits|=this.getBit(t)},t.prototype.clear=function(t){this.bits&=~this.getBit(t)},t.prototype.isSet=function(t){return!!(this.bits&this.getBit(t))},t.prototype.reset=function(){this.bits=0},t.prototype.getBit=function(t){var r=this.constructor.names.get(t);if(!r)throw new Error(\"Unknown bit-field name: \"+t);return r},t.MAXBIT=1<<31,t.next=1,t.names=new Map,t}();n.BitField=f,n.BitFieldClass=function(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var n=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return a(r,t),r}(f);return n.allocate.apply(n,u([],s(t))),n}},\n",
-       "      727: function _(t,e,r,n,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)a.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var h=t(716),c=t(522),d=t(728),p=t(729),f=t(730),y=t(527),m=function(t){function e(e,r,n){var o=this,i=l(c.separateOptions(n,f.HTMLDomStrings.OPTIONS),2),a=i[0],s=i[1];return(o=t.call(this,e,r,a)||this).domStrings=o.options.DomStrings||new f.HTMLDomStrings(s),o.domStrings.adaptor=r,o.styles=[],o}return a(e,t),e.prototype.findPosition=function(t,e,r,n){var o,i,a=this.adaptor;try{for(var s=u(n[t]),h=s.next();!h.done;h=s.next()){var c=h.value,d=l(c,2),p=d[0],f=d[1];if(e<=f&&\"#text\"===a.kind(p))return{node:p,n:Math.max(e,0),delim:r};e-=f}}catch(t){o={error:t}}finally{try{h&&!h.done&&(i=s.return)&&i.call(s)}finally{if(o)throw o.error}}return{node:null,n:0,delim:r}},e.prototype.mathItem=function(t,e,r){var n=t.math,o=this.findPosition(t.n,t.start.n,t.open,r),i=this.findPosition(t.n,t.end.n,t.close,r);return new this.options.MathItem(n,e,t.display,o,i)},e.prototype.findMath=function(t){var e,r,n,o,i,a,s,h,d;if(!this.processed.isSet(\"findMath\")){this.adaptor.document=this.document,t=c.userOptions({elements:this.options.elements||[this.adaptor.body(this.document)]},t);try{for(var p=u(this.adaptor.getElements(t.elements,this.document)),f=p.next();!f.done;f=p.next()){var y=f.value,m=l([null,null],2),v=m[0],S=m[1];try{for(var g=(n=void 0,u(this.inputJax)),x=g.next();!x.done;x=g.next()){var M=x.value,T=new this.options.MathList;if(M.processStrings){null===v&&(v=(i=l(this.domStrings.find(y),2))[0],S=i[1]);try{for(var b=(a=void 0,u(M.findMath(v))),w=b.next();!w.done;w=b.next()){var O=w.value;T.push(this.mathItem(O,M,S))}}catch(t){a={error:t}}finally{try{w&&!w.done&&(s=b.return)&&s.call(b)}finally{if(a)throw a.error}}}else try{for(var D=(h=void 0,u(M.findMath(y))),E=D.next();!E.done;E=D.next()){O=E.value;var _=new this.options.MathItem(O.math,M,O.display,O.start,O.end);T.push(_)}}catch(t){h={error:t}}finally{try{E&&!E.done&&(d=D.return)&&d.call(D)}finally{if(h)throw h.error}}this.math.merge(T)}}catch(t){n={error:t}}finally{try{x&&!x.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}}}catch(t){e={error:t}}finally{try{f&&!f.done&&(r=p.return)&&r.call(p)}finally{if(e)throw e.error}}this.processed.set(\"findMath\")}return this},e.prototype.updateDocument=function(){return this.processed.isSet(\"updateDocument\")||(this.addPageElements(),this.addStyleSheet(),t.prototype.updateDocument.call(this),this.processed.set(\"updateDocument\")),this},e.prototype.addPageElements=function(){var t=this.adaptor.body(this.document),e=this.documentPageElements();e&&this.adaptor.append(t,e)},e.prototype.addStyleSheet=function(){var t=this.documentStyleSheet(),e=this.adaptor;if(t&&!e.parent(t)){var r=e.head(this.document),n=this.findSheet(r,e.getAttribute(t,\"id\"));n?e.replace(t,n):e.append(r,t)}},e.prototype.findSheet=function(t,e){var r,n;if(e)try{for(var o=u(this.adaptor.tags(t,\"style\")),i=o.next();!i.done;i=o.next()){var a=i.value;if(this.adaptor.getAttribute(a,\"id\")===e)return a}}catch(t){r={error:t}}finally{try{i&&!i.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}return null},e.prototype.removeFromDocument=function(t){var e,r;if(void 0===t&&(t=!1),this.processed.isSet(\"updateDocument\"))try{for(var n=u(this.math),o=n.next();!o.done;o=n.next()){var i=o.value;i.state()>=y.STATE.INSERTED&&i.state(y.STATE.TYPESET,t)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this.processed.clear(\"updateDocument\"),this},e.prototype.documentStyleSheet=function(){return this.outputJax.styleSheet(this)},e.prototype.documentPageElements=function(){return this.outputJax.pageElements(this)},e.prototype.addStyles=function(t){this.styles.push(t)},e.prototype.getStyles=function(){return this.styles},e.KIND=\"HTML\",e.OPTIONS=s(s({},h.AbstractMathDocument.OPTIONS),{renderActions:c.expandable(s(s({},h.AbstractMathDocument.OPTIONS.renderActions),{styles:[y.STATE.INSERTED+1,\"\",\"updateStyleSheet\",!1]})),MathList:p.HTMLMathList,MathItem:d.HTMLMathItem,DomStrings:null}),e}(h.AbstractMathDocument);r.HTMLDocument=m},\n",
-       "      728: function _(t,e,n,s,i){var o,r=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)});s();var a=t(527),h=function(t){function e(e,n,s,i,o){return void 0===s&&(s=!0),void 0===i&&(i={node:null,n:0,delim:\"\"}),void 0===o&&(o={node:null,n:0,delim:\"\"}),t.call(this,e,n,s,i,o)||this}return r(e,t),Object.defineProperty(e.prototype,\"adaptor\",{get:function(){return this.inputJax.adaptor},enumerable:!1,configurable:!0}),e.prototype.updateDocument=function(t){if(this.state()<a.STATE.INSERTED){if(this.inputJax.processStrings){var e=this.start.node;if(e===this.end.node)this.end.n&&this.end.n<this.adaptor.value(this.end.node).length&&this.adaptor.split(this.end.node,this.end.n),this.start.n&&(e=this.adaptor.split(this.start.node,this.start.n)),this.adaptor.replace(this.typesetRoot,e);else{for(this.start.n&&(e=this.adaptor.split(e,this.start.n));e!==this.end.node;){var n=this.adaptor.next(e);this.adaptor.remove(e),e=n}this.adaptor.insert(this.typesetRoot,e),this.end.n<this.adaptor.value(e).length&&this.adaptor.split(e,this.end.n),this.adaptor.remove(e)}}else this.adaptor.replace(this.typesetRoot,this.start.node);this.start.node=this.end.node=this.typesetRoot,this.start.n=this.end.n=0,this.state(a.STATE.INSERTED)}},e.prototype.updateStyleSheet=function(t){t.addStyleSheet()},e.prototype.removeFromDocument=function(t){if(void 0===t&&(t=!1),this.state()>=a.STATE.TYPESET){var e=this.adaptor,n=this.start.node,s=e.text(\"\");if(t){var i=this.start.delim+this.math+this.end.delim;if(this.inputJax.processStrings)s=e.text(i);else{var o=e.parse(i,\"text/html\");s=e.firstChild(e.body(o))}}e.parent(n)&&e.replace(s,n),this.start.node=this.end.node=s,this.start.n=this.end.n=0}},e}(a.AbstractMathItem);n.HTMLMathItem=h},\n",
-       "      729: function _(t,n,o,r,e){var i,c=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var u=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return c(n,t),n}(t(717).AbstractMathList);o.HTMLMathList=u},\n",
-       "      730: function _(t,s,i,n,r){var e=this&&this.__read||function(t,s){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var n,r,e=i.call(t),o=[];try{for(;(void 0===s||s-- >0)&&!(n=e.next()).done;)o.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(i=e.return)&&i.call(e)}finally{if(r)throw r.error}}return o};n();var o=t(522),a=function(){function t(t){void 0===t&&(t=null);var s=this.constructor;this.options=o.userOptions(o.defaultOptions({},s.OPTIONS),t),this.init(),this.getPatterns()}return t.prototype.init=function(){this.strings=[],this.string=\"\",this.snodes=[],this.nodes=[],this.stack=[]},t.prototype.getPatterns=function(){var t=o.makeArray(this.options.skipHtmlTags),s=o.makeArray(this.options.ignoreHtmlClass),i=o.makeArray(this.options.processHtmlClass);this.skipHtmlTags=new RegExp(\"^(?:\"+t.join(\"|\")+\")$\",\"i\"),this.ignoreHtmlClass=new RegExp(\"(?:^| )(?:\"+s.join(\"|\")+\")(?: |$)\"),this.processHtmlClass=new RegExp(\"(?:^| )(?:\"+i+\")(?: |$)\")},t.prototype.pushString=function(){this.string.match(/\\S/)&&(this.strings.push(this.string),this.nodes.push(this.snodes)),this.string=\"\",this.snodes=[]},t.prototype.extendString=function(t,s){this.snodes.push([t,s.length]),this.string+=s},t.prototype.handleText=function(t,s){return s||this.extendString(t,this.adaptor.value(t)),this.adaptor.next(t)},t.prototype.handleTag=function(t,s){if(!s){var i=this.options.includeHtmlTags[this.adaptor.kind(t)];this.extendString(t,i)}return this.adaptor.next(t)},t.prototype.handleContainer=function(t,s){this.pushString();var i=this.adaptor.getAttribute(t,\"class\")||\"\",n=this.adaptor.kind(t)||\"\",r=this.processHtmlClass.exec(i),e=t;return!this.adaptor.firstChild(t)||this.adaptor.getAttribute(t,\"data-MJX\")||!r&&this.skipHtmlTags.exec(n)?e=this.adaptor.next(t):(this.adaptor.next(t)&&this.stack.push([this.adaptor.next(t),s]),e=this.adaptor.firstChild(t),s=(s||this.ignoreHtmlClass.exec(i))&&!r),[e,s]},t.prototype.handleOther=function(t,s){return this.pushString(),this.adaptor.next(t)},t.prototype.find=function(t){var s,i;this.init();for(var n=this.adaptor.next(t),r=!1,o=this.options.includeHtmlTags;t&&t!==n;){var a=this.adaptor.kind(t);\"#text\"===a?t=this.handleText(t,r):o.hasOwnProperty(a)?t=this.handleTag(t,r):a?(t=(s=e(this.handleContainer(t,r),2))[0],r=s[1]):t=this.handleOther(t,r),!t&&this.stack.length&&(this.pushString(),t=(i=e(this.stack.pop(),2))[0],r=i[1])}this.pushString();var h=[this.strings,this.nodes];return this.init(),h},t.OPTIONS={skipHtmlTags:[\"script\",\"noscript\",\"style\",\"textarea\",\"pre\",\"code\",\"annotation\",\"annotation-xml\"],includeHtmlTags:{br:\"\\n\",wbr:\"\",\"#comment\":\"\"},ignoreHtmlClass:\"mathjax_ignore\",processHtmlClass:\"mathjax_process\"},t}();i.HTMLDomStrings=a},\n",
-       "      731: function _(e,t,o,x,a){x(),e(549),e(732),e(733),e(737),e(740),e(741),e(742),e(746),e(751),e(753),e(755),e(756),e(760),e(761),e(762),e(766),e(752),e(767),e(770),e(771),e(773),e(779),e(768),e(781),e(782),e(783),e(787),e(788),e(789),e(793),e(795),e(796),e(797),\"undefined\"!=typeof MathJax&&MathJax.loader&&MathJax.loader.preLoad(\"[tex]/action\",\"[tex]/ams\",\"[tex]/amscd\",\"[tex]/bbox\",\"[tex]/boldsymbol\",\"[tex]/braket\",\"[tex]/bussproofs\",\"[tex]/cancel\",\"[tex]/cases\",\"[tex]/centernot\",\"[tex]/color\",\"[tex]/colorv2\",\"[tex]/colortbl\",\"[tex]/empheq\",\"[tex]/enclose\",\"[tex]/extpfeil\",\"[tex]/gensymb\",\"[tex]/html\",\"[tex]/mathtools\",\"[tex]/mhchem\",\"[tex]/newcommand\",\"[tex]/noerrors\",\"[tex]/noundefined\",\"[tex]/physics\",\"[tex]/upgreek\",\"[tex]/unicode\",\"[tex]/verb\",\"[tex]/configmacros\",\"[tex]/tagformat\",\"[tex]/textcomp\",\"[tex]/textmacros\",\"[tex]/setoptions\"),o.AllPackages=[\"base\",\"action\",\"ams\",\"amscd\",\"bbox\",\"boldsymbol\",\"braket\",\"bussproofs\",\"cancel\",\"cases\",\"centernot\",\"color\",\"colortbl\",\"empheq\",\"enclose\",\"extpfeil\",\"gensymb\",\"html\",\"mathtools\",\"mhchem\",\"newcommand\",\"noerrors\",\"noundefined\",\"upgreek\",\"unicode\",\"verb\",\"configmacros\",\"tagformat\",\"textcomp\",\"textmacros\"]},\n",
-       "      732: function _(t,o,a,n,e){n();var i=t(547),c=t(535),r=t(550),g=t(555);a.ActionMethods={},a.ActionMethods.Macro=g.default.Macro,a.ActionMethods.Toggle=function(t,o){for(var a,n=[];\"\\\\endtoggle\"!==(a=t.GetArgument(o));)n.push(new c.default(a,t.stack.env,t.configuration).mml());t.Push(t.create(\"node\",\"maction\",n,{actiontype:\"toggle\"}))},a.ActionMethods.Mathtip=function(t,o){var a=t.ParseArg(o),n=t.ParseArg(o);t.Push(t.create(\"node\",\"maction\",[a,n],{actiontype:\"tooltip\"}))},new r.CommandMap(\"action-macros\",{toggle:\"Toggle\",mathtip:\"Mathtip\",texttip:[\"Macro\",\"\\\\mathtip{#1}{\\\\text{#2}}\",2]},a.ActionMethods),a.ActionConfiguration=i.Configuration.create(\"action\",{handler:{macro:[\"action-macros\"]}})},\n",
-       "      733: function _(t,n,o,i,e){var r,a,s=this&&this.__extends||(r=function(t,n){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},r(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});i();var l=t(547),m=t(734),p=t(546),u=t(735);t(736);var c=t(550),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n}(p.AbstractTags);o.AmsTags=h;o.AmsConfiguration=l.Configuration.create(\"ams\",{handler:{delimiter:[\"AMSsymbols-delimiter\",\"AMSmath-delimiter\"],macro:[\"AMSsymbols-mathchar0mi\",\"AMSsymbols-mathchar0mo\",\"AMSsymbols-delimiter\",\"AMSsymbols-macros\",\"AMSmath-mathchar0mo\",\"AMSmath-macros\",\"AMSmath-delimiter\"],environment:[\"AMSmath-environment\"]},items:(a={},a[m.MultlineItem.prototype.kind]=m.MultlineItem,a[m.FlalignItem.prototype.kind]=m.FlalignItem,a),tags:{ams:h},init:function(t){new c.CommandMap(u.NEW_OPS,{},{}),t.append(l.Configuration.local({handler:{macro:[u.NEW_OPS]},priority:-1}))},config:function(t,n){n.parseOptions.options.multlineWidth&&(n.parseOptions.options.ams.multlineWidth=n.parseOptions.options.multlineWidth),delete n.parseOptions.options.multlineWidth},options:{multlineWidth:\"\",ams:{multlineWidth:\"100%\",multlineIndent:\"1em\"}}})},\n",
-       "      734: function _(t,e,n,r,i){var o,a=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},l.apply(this,arguments)};r();var s=t(552),h=t(536),u=t(532),d=t(537),c=t(554),f=function(t){function e(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];var i=t.call(this,e)||this;return i.factory.configuration.tags.start(\"multline\",!0,n[0]),i}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"multline\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.table.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.getProperty(\"shove\"),e=this.create(\"node\",\"mtd\",this.nodes,t?{columnalign:t}:{});this.setProperty(\"shove\",null),this.row.push(e),this.Clear()},e.prototype.EndRow=function(){if(1!==this.row.length)throw new d.default(\"MultlineRowsOneCol\",\"The rows within the %1 environment must have exactly one column\",\"multline\");var t=this.create(\"node\",\"mtr\",this.row);this.table.push(t),this.row=[]},e.prototype.EndTable=function(){if(t.prototype.EndTable.call(this),this.table.length){var e=this.table.length-1,n=-1;u.default.getAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\",c.TexConstant.Align.LEFT),u.default.getAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\",c.TexConstant.Align.RIGHT);var r=this.factory.configuration.tags.getTag();if(r){n=this.arraydef.side===c.TexConstant.Align.LEFT?0:this.table.length-1;var i=this.table[n],o=this.create(\"node\",\"mlabeledtr\",[r].concat(u.default.getChildren(i)));u.default.copyAttributes(i,o),this.table[n]=o}}this.factory.configuration.tags.end()},e}(s.ArrayItem);n.MultlineItem=f;var p=function(t){function e(e,n,r,i,o){var a=t.call(this,e)||this;return a.name=n,a.numbered=r,a.padded=i,a.center=o,a.factory.configuration.tags.start(n,r,r),a}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"flalign\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){t.prototype.EndEntry.call(this);var e=this.getProperty(\"xalignat\");if(e&&this.row.length>e)throw new d.default(\"XalignOverflow\",\"Extra %1 in row of %2\",\"&\",this.name)},e.prototype.EndRow=function(){for(var e,n=this.row,r=this.getProperty(\"xalignat\");n.length<r;)n.push(this.create(\"node\",\"mtd\"));for(this.row=[],this.padded&&this.row.push(this.create(\"node\",\"mtd\"));e=n.shift();)this.row.push(e),(e=n.shift())&&this.row.push(e),(n.length||this.padded)&&this.row.push(this.create(\"node\",\"mtd\"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),t.prototype.EndRow.call(this);var i=this.table[this.table.length-1];if(this.getProperty(\"zeroWidthLabel\")&&i.isKind(\"mlabeledtr\")){var o=u.default.getChildren(i)[0],a=this.factory.configuration.options.tagSide,s=l({width:0},\"right\"===a?{lspace:\"-1width\"}:{}),h=this.create(\"node\",\"mpadded\",u.default.getChildren(o),s);o.setChildren([h])}},e.prototype.EndTable=function(){(t.prototype.EndTable.call(this),this.center)&&(this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign))},e}(s.EqnArrayItem);n.FlalignItem=p},\n",
-       "      735: function _(e,t,a,n,r){n();var i=e(536),s=e(532),l=e(554),o=e(535),d=e(537),m=e(551),u=e(555),c=e(529);a.AmsMethods={},a.AmsMethods.AmsEqnArray=function(e,t,a,n,r,s,l){var o=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\"),d=u.default.EqnArray(e,t,a,n,r,s,l);return i.default.setArrayAlign(d,o)},a.AmsMethods.AlignAt=function(e,t,n,r){var s,l,o=t.getName(),m=\"\",u=[];if(r||(l=e.GetBrackets(\"\\\\begin{\"+o+\"}\")),(s=e.GetArgument(\"\\\\begin{\"+o+\"}\")).match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+o+\"}\");for(var c=parseInt(s,10);c>0;)m+=\"rl\",u.push(\"0em 0em\"),c--;var f=u.join(\" \");if(r)return a.AmsMethods.EqnArray(e,t,n,r,m,f);var g=a.AmsMethods.EqnArray(e,t,n,r,m,f);return i.default.setArrayAlign(g,l)},a.AmsMethods.Multline=function(e,t,a){e.Push(t),i.default.checkEqnEnv(e);var n=e.itemFactory.create(\"multline\",a,e.stack);return n.arraydef={displaystyle:!0,rowspacing:\".5em\",columnspacing:\"100%\",width:e.options.ams.multlineWidth,side:e.options.tagSide,minlabelspacing:e.options.tagIndent,framespacing:e.options.ams.multlineIndent+\" 0\",frame:\"\",\"data-width-includes-label\":!0},n},a.AmsMethods.XalignAt=function(e,t,n,r){var i=e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\");if(i.match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+t.getName()+\"}\");var s=r?\"crl\":\"rlc\",l=r?\"fit auto auto\":\"auto auto fit\",o=a.AmsMethods.FlalignArray(e,t,n,r,!1,s,l,!0);return o.setProperty(\"xalignat\",2*parseInt(i)),o},a.AmsMethods.FlalignArray=function(e,t,a,n,r,s,l,o){void 0===o&&(o=!1),e.Push(t),i.default.checkEqnEnv(e),s=s.split(\"\").join(\" \").replace(/r/g,\"right\").replace(/l/g,\"left\").replace(/c/g,\"center\");var d=e.itemFactory.create(\"flalign\",t.getName(),a,n,r,e.stack);return d.arraydef={width:\"100%\",displaystyle:!0,columnalign:s,columnspacing:\"0em\",columnwidth:l,rowspacing:\"3pt\",side:e.options.tagSide,minlabelspacing:o?\"0\":e.options.tagIndent,\"data-width-includes-label\":!0},d.setProperty(\"zeroWidthLabel\",o),d},a.NEW_OPS=\"ams-declare-ops\",a.AmsMethods.HandleDeclareOp=function(e,t){var n=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",r=i.default.trimSpaces(e.GetArgument(t));\"\\\\\"===r.charAt(0)&&(r=r.substr(1));var s=e.GetArgument(t);s.match(/\\\\text/)||(s=s.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.configuration.handlers.retrieve(a.NEW_OPS).add(r,new m.Macro(r,a.AmsMethods.Macro,[\"\\\\mathop{\\\\rm \"+s+\"}\"+n]))},a.AmsMethods.HandleOperatorName=function(e,t){var a=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",n=i.default.trimSpaces(e.GetArgument(t));n.match(/\\\\text/)||(n=n.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.string=\"\\\\mathop{\\\\rm \"+n+\"}\"+a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.SkipLimits=function(e,t){var a=e.GetNext(),n=e.i;\"\\\\\"===a&&++e.i&&\"limits\"!==e.GetCS()&&(e.i=n)},a.AmsMethods.MultiIntegral=function(e,t,a){var n=e.GetNext();if(\"\\\\\"===n){var r=e.i;n=e.GetArgument(t),e.i=r,\"\\\\limits\"===n&&(a=\"\\\\idotsint\"===t?\"\\\\!\\\\!\\\\mathop{\\\\,\\\\,\"+a+\"}\":\"\\\\!\\\\!\\\\!\\\\mathop{\\\\,\\\\,\\\\,\"+a+\"}\")}e.string=a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.xArrow=function(e,t,a,n,r){var l={width:\"+\"+i.default.Em((n+r)/18),lspace:i.default.Em(n/18)},d=e.GetBrackets(t),m=e.ParseArg(t),u=e.create(\"node\",\"mspace\",[],{depth:\".25em\"}),f=e.create(\"token\",\"mo\",{stretchy:!0,texClass:c.TEXCLASS.REL},String.fromCodePoint(a));f=e.create(\"node\",\"mstyle\",[f],{scriptlevel:0});var g=e.create(\"node\",\"munderover\",[f]),A=e.create(\"node\",\"mpadded\",[m,u],l);if(s.default.setAttribute(A,\"voffset\",\"-.2em\"),s.default.setAttribute(A,\"height\",\"-.2em\"),s.default.setChild(g,g.over,A),d){var h=new o.default(d,e.stack.env,e.configuration).mml(),p=e.create(\"node\",\"mspace\",[],{height:\".75em\"});A=e.create(\"node\",\"mpadded\",[h,p],l),s.default.setAttribute(A,\"voffset\",\".15em\"),s.default.setAttribute(A,\"depth\",\"-.15em\"),s.default.setChild(g,g.under,A)}s.default.setProperty(g,\"subsupOK\",!0),e.Push(g)},a.AmsMethods.HandleShove=function(e,t,a){var n=e.stack.Top();if(\"multline\"!==n.kind)throw new d.default(\"CommandOnlyAllowedInEnv\",\"%1 only allowed in %2 environment\",e.currentCS,\"multline\");if(n.Size())throw new d.default(\"CommandAtTheBeginingOfLine\",\"%1 must come at the beginning of the line\",e.currentCS);n.setProperty(\"shove\",a)},a.AmsMethods.CFrac=function(e,t){var a=i.default.trimSpaces(e.GetBrackets(t,\"\")),n=e.GetArgument(t),r=e.GetArgument(t),m={l:l.TexConstant.Align.LEFT,r:l.TexConstant.Align.RIGHT,\"\":\"\"},u=new o.default(\"\\\\strut\\\\textstyle{\"+n+\"}\",e.stack.env,e.configuration).mml(),c=new o.default(\"\\\\strut\\\\textstyle{\"+r+\"}\",e.stack.env,e.configuration).mml(),f=e.create(\"node\",\"mfrac\",[u,c]);if(null==(a=m[a]))throw new d.default(\"IllegalAlign\",\"Illegal alignment specified in %1\",e.currentCS);a&&s.default.setProperties(f,{numalign:a,denomalign:a}),e.Push(f)},a.AmsMethods.Genfrac=function(e,t,a,n,r,l){null==a&&(a=e.GetDelimiterArg(t)),null==n&&(n=e.GetDelimiterArg(t)),null==r&&(r=e.GetArgument(t)),null==l&&(l=i.default.trimSpaces(e.GetArgument(t)));var o=e.ParseArg(t),m=e.ParseArg(t),u=e.create(\"node\",\"mfrac\",[o,m]);if(\"\"!==r&&s.default.setAttribute(u,\"linethickness\",r),(a||n)&&(s.default.setProperty(u,\"withDelims\",!0),u=i.default.fixedFence(e.configuration,a,u,n)),\"\"!==l){var c=parseInt(l,10),f=[\"D\",\"T\",\"S\",\"SS\"][c];if(null==f)throw new d.default(\"BadMathStyleFor\",\"Bad math style for %1\",e.currentCS);u=e.create(\"node\",\"mstyle\",[u]),\"D\"===f?s.default.setProperties(u,{displaystyle:!0,scriptlevel:0}):s.default.setProperties(u,{displaystyle:!1,scriptlevel:c-1})}e.Push(u)},a.AmsMethods.HandleTag=function(e,t){if(!e.tags.currentTag.taggable&&e.tags.env)throw new d.default(\"CommandNotAllowedInEnv\",\"%1 not allowed in %2 environment\",e.currentCS,e.tags.env);if(e.tags.currentTag.tag)throw new d.default(\"MultipleCommand\",\"Multiple %1\",e.currentCS);var a=e.GetStar(),n=i.default.trimSpaces(e.GetArgument(t));e.tags.tag(n,a)},a.AmsMethods.HandleNoTag=u.default.HandleNoTag,a.AmsMethods.HandleRef=u.default.HandleRef,a.AmsMethods.Macro=u.default.Macro,a.AmsMethods.Accent=u.default.Accent,a.AmsMethods.Tilde=u.default.Tilde,a.AmsMethods.Array=u.default.Array,a.AmsMethods.Spacer=u.default.Spacer,a.AmsMethods.NamedOp=u.default.NamedOp,a.AmsMethods.EqnArray=u.default.EqnArray,a.AmsMethods.Equation=u.default.Equation},\n",
-       "      736: function _(a,r,t,e,n){e();var l=a(735),i=a(550),o=a(554),s=a(557),m=a(536),c=a(529),h=a(556);new i.CharacterMap(\"AMSmath-mathchar0mo\",s.default.mathchar0mo,{iiiint:[\"\\u2a0c\",{texClass:c.TEXCLASS.OP}]}),new i.CommandMap(\"AMSmath-macros\",{mathring:[\"Accent\",\"02DA\"],nobreakspace:\"Tilde\",negmedspace:[\"Spacer\",h.MATHSPACE.negativemediummathspace],negthickspace:[\"Spacer\",h.MATHSPACE.negativethickmathspace],idotsint:[\"MultiIntegral\",\"\\\\int\\\\cdots\\\\int\"],dddot:[\"Accent\",\"20DB\"],ddddot:[\"Accent\",\"20DC\"],sideset:[\"Macro\",\"\\\\mathop{\\\\mathop{\\\\rlap{\\\\phantom{#3}}}\\\\nolimits#1\\\\!\\\\mathop{#3}\\\\nolimits#2}\",3],boxed:[\"Macro\",\"\\\\fbox{$\\\\displaystyle{#1}$}\",1],tag:\"HandleTag\",notag:\"HandleNoTag\",eqref:[\"HandleRef\",!0],substack:[\"Macro\",\"\\\\begin{subarray}{c}#1\\\\end{subarray}\",1],injlim:[\"NamedOp\",\"inj&thinsp;lim\"],projlim:[\"NamedOp\",\"proj&thinsp;lim\"],varliminf:[\"Macro\",\"\\\\mathop{\\\\underline{\\\\mmlToken{mi}{lim}}}\"],varlimsup:[\"Macro\",\"\\\\mathop{\\\\overline{\\\\mmlToken{mi}{lim}}}\"],varinjlim:[\"Macro\",\"\\\\mathop{\\\\underrightarrow{\\\\mmlToken{mi}{lim}}}\"],varprojlim:[\"Macro\",\"\\\\mathop{\\\\underleftarrow{\\\\mmlToken{mi}{lim}}}\"],DeclareMathOperator:\"HandleDeclareOp\",operatorname:\"HandleOperatorName\",SkipLimits:\"SkipLimits\",genfrac:\"Genfrac\",frac:[\"Genfrac\",\"\",\"\",\"\",\"\"],tfrac:[\"Genfrac\",\"\",\"\",\"\",\"1\"],dfrac:[\"Genfrac\",\"\",\"\",\"\",\"0\"],binom:[\"Genfrac\",\"(\",\")\",\"0\",\"\"],tbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"1\"],dbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"0\"],cfrac:\"CFrac\",shoveleft:[\"HandleShove\",o.TexConstant.Align.LEFT],shoveright:[\"HandleShove\",o.TexConstant.Align.RIGHT],xrightarrow:[\"xArrow\",8594,5,10],xleftarrow:[\"xArrow\",8592,10,5]},l.AmsMethods),new i.EnvironmentMap(\"AMSmath-environment\",s.default.environment,{\"equation*\":[\"Equation\",null,!1],\"eqnarray*\":[\"EqnArray\",null,!1,!0,\"rcl\",m.default.cols(0,h.MATHSPACE.thickmathspace),\".5em\"],align:[\"EqnArray\",null,!0,!0,\"rl\",m.default.cols(0,2)],\"align*\":[\"EqnArray\",null,!1,!0,\"rl\",m.default.cols(0,2)],multline:[\"Multline\",null,!0],\"multline*\":[\"Multline\",null,!1],split:[\"EqnArray\",null,!1,!1,\"rl\",m.default.cols(0)],gather:[\"EqnArray\",null,!0,!0,\"c\"],\"gather*\":[\"EqnArray\",null,!1,!0,\"c\"],alignat:[\"AlignAt\",null,!0,!0],\"alignat*\":[\"AlignAt\",null,!1,!0],alignedat:[\"AlignAt\",null,!1,!1],aligned:[\"AmsEqnArray\",null,null,null,\"rl\",m.default.cols(0,2),\".5em\",\"D\"],gathered:[\"AmsEqnArray\",null,null,null,\"c\",null,\".5em\",\"D\"],xalignat:[\"XalignAt\",null,!0,!0],\"xalignat*\":[\"XalignAt\",null,!1,!0],xxalignat:[\"XalignAt\",null,!1,!1],flalign:[\"FlalignArray\",null,!0,!1,!0,\"rlc\",\"auto auto fit\"],\"flalign*\":[\"FlalignArray\",null,!1,!1,!0,\"rlc\",\"auto auto fit\"],subarray:[\"Array\",null,null,null,null,m.default.cols(0),\"0.1em\",\"S\",1],smallmatrix:[\"Array\",null,null,null,\"c\",m.default.cols(1/3),\".2em\",\"S\",1],matrix:[\"Array\",null,null,null,\"c\"],pmatrix:[\"Array\",null,\"(\",\")\",\"c\"],bmatrix:[\"Array\",null,\"[\",\"]\",\"c\"],Bmatrix:[\"Array\",null,\"\\\\{\",\"\\\\}\",\"c\"],vmatrix:[\"Array\",null,\"\\\\vert\",\"\\\\vert\",\"c\"],Vmatrix:[\"Array\",null,\"\\\\Vert\",\"\\\\Vert\",\"c\"],cases:[\"Array\",null,\"\\\\{\",\".\",\"ll\",null,\".2em\",\"T\"]},l.AmsMethods),new i.DelimiterMap(\"AMSmath-delimiter\",s.default.delimiter,{\"\\\\lvert\":[\"|\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rvert\":[\"|\",{texClass:c.TEXCLASS.CLOSE}],\"\\\\lVert\":[\"\\u2016\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rVert\":[\"\\u2016\",{texClass:c.TEXCLASS.CLOSE}]}),new i.CharacterMap(\"AMSsymbols-mathchar0mi\",s.default.mathchar0mi,{digamma:\"\\u03dd\",varkappa:\"\\u03f0\",varGamma:[\"\\u0393\",{mathvariant:o.TexConstant.Variant.ITALIC}],varDelta:[\"\\u0394\",{mathvariant:o.TexConstant.Variant.ITALIC}],varTheta:[\"\\u0398\",{mathvariant:o.TexConstant.Variant.ITALIC}],varLambda:[\"\\u039b\",{mathvariant:o.TexConstant.Variant.ITALIC}],varXi:[\"\\u039e\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPi:[\"\\u03a0\",{mathvariant:o.TexConstant.Variant.ITALIC}],varSigma:[\"\\u03a3\",{mathvariant:o.TexConstant.Variant.ITALIC}],varUpsilon:[\"\\u03a5\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPhi:[\"\\u03a6\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPsi:[\"\\u03a8\",{mathvariant:o.TexConstant.Variant.ITALIC}],varOmega:[\"\\u03a9\",{mathvariant:o.TexConstant.Variant.ITALIC}],beth:\"\\u2136\",gimel:\"\\u2137\",daleth:\"\\u2138\",backprime:[\"\\u2035\",{variantForm:!0}],hslash:\"\\u210f\",varnothing:[\"\\u2205\",{variantForm:!0}],blacktriangle:\"\\u25b4\",triangledown:[\"\\u25bd\",{variantForm:!0}],blacktriangledown:\"\\u25be\",square:\"\\u25fb\",Box:\"\\u25fb\",blacksquare:\"\\u25fc\",lozenge:\"\\u25ca\",Diamond:\"\\u25ca\",blacklozenge:\"\\u29eb\",circledS:[\"\\u24c8\",{mathvariant:o.TexConstant.Variant.NORMAL}],bigstar:\"\\u2605\",sphericalangle:\"\\u2222\",measuredangle:\"\\u2221\",nexists:\"\\u2204\",complement:\"\\u2201\",mho:\"\\u2127\",eth:[\"\\xf0\",{mathvariant:o.TexConstant.Variant.NORMAL}],Finv:\"\\u2132\",diagup:\"\\u2571\",Game:\"\\u2141\",diagdown:\"\\u2572\",Bbbk:[\"k\",{mathvariant:o.TexConstant.Variant.DOUBLESTRUCK}],yen:\"\\xa5\",circledR:\"\\xae\",checkmark:\"\\u2713\",maltese:\"\\u2720\"}),new i.CharacterMap(\"AMSsymbols-mathchar0mo\",s.default.mathchar0mo,{dotplus:\"\\u2214\",ltimes:\"\\u22c9\",smallsetminus:[\"\\u2216\",{variantForm:!0}],rtimes:\"\\u22ca\",Cap:\"\\u22d2\",doublecap:\"\\u22d2\",leftthreetimes:\"\\u22cb\",Cup:\"\\u22d3\",doublecup:\"\\u22d3\",rightthreetimes:\"\\u22cc\",barwedge:\"\\u22bc\",curlywedge:\"\\u22cf\",veebar:\"\\u22bb\",curlyvee:\"\\u22ce\",doublebarwedge:\"\\u2a5e\",boxminus:\"\\u229f\",circleddash:\"\\u229d\",boxtimes:\"\\u22a0\",circledast:\"\\u229b\",boxdot:\"\\u22a1\",circledcirc:\"\\u229a\",boxplus:\"\\u229e\",centerdot:[\"\\u22c5\",{variantForm:!0}],divideontimes:\"\\u22c7\",intercal:\"\\u22ba\",leqq:\"\\u2266\",geqq:\"\\u2267\",leqslant:\"\\u2a7d\",geqslant:\"\\u2a7e\",eqslantless:\"\\u2a95\",eqslantgtr:\"\\u2a96\",lesssim:\"\\u2272\",gtrsim:\"\\u2273\",lessapprox:\"\\u2a85\",gtrapprox:\"\\u2a86\",approxeq:\"\\u224a\",lessdot:\"\\u22d6\",gtrdot:\"\\u22d7\",lll:\"\\u22d8\",llless:\"\\u22d8\",ggg:\"\\u22d9\",gggtr:\"\\u22d9\",lessgtr:\"\\u2276\",gtrless:\"\\u2277\",lesseqgtr:\"\\u22da\",gtreqless:\"\\u22db\",lesseqqgtr:\"\\u2a8b\",gtreqqless:\"\\u2a8c\",doteqdot:\"\\u2251\",Doteq:\"\\u2251\",eqcirc:\"\\u2256\",risingdotseq:\"\\u2253\",circeq:\"\\u2257\",fallingdotseq:\"\\u2252\",triangleq:\"\\u225c\",backsim:\"\\u223d\",thicksim:[\"\\u223c\",{variantForm:!0}],backsimeq:\"\\u22cd\",thickapprox:[\"\\u2248\",{variantForm:!0}],subseteqq:\"\\u2ac5\",supseteqq:\"\\u2ac6\",Subset:\"\\u22d0\",Supset:\"\\u22d1\",sqsubset:\"\\u228f\",sqsupset:\"\\u2290\",preccurlyeq:\"\\u227c\",succcurlyeq:\"\\u227d\",curlyeqprec:\"\\u22de\",curlyeqsucc:\"\\u22df\",precsim:\"\\u227e\",succsim:\"\\u227f\",precapprox:\"\\u2ab7\",succapprox:\"\\u2ab8\",vartriangleleft:\"\\u22b2\",lhd:\"\\u22b2\",vartriangleright:\"\\u22b3\",rhd:\"\\u22b3\",trianglelefteq:\"\\u22b4\",unlhd:\"\\u22b4\",trianglerighteq:\"\\u22b5\",unrhd:\"\\u22b5\",vDash:[\"\\u22a8\",{variantForm:!0}],Vdash:\"\\u22a9\",Vvdash:\"\\u22aa\",smallsmile:[\"\\u2323\",{variantForm:!0}],shortmid:[\"\\u2223\",{variantForm:!0}],smallfrown:[\"\\u2322\",{variantForm:!0}],shortparallel:[\"\\u2225\",{variantForm:!0}],bumpeq:\"\\u224f\",between:\"\\u226c\",Bumpeq:\"\\u224e\",pitchfork:\"\\u22d4\",varpropto:[\"\\u221d\",{variantForm:!0}],backepsilon:\"\\u220d\",blacktriangleleft:\"\\u25c2\",blacktriangleright:\"\\u25b8\",therefore:\"\\u2234\",because:\"\\u2235\",eqsim:\"\\u2242\",vartriangle:[\"\\u25b3\",{variantForm:!0}],Join:\"\\u22c8\",nless:\"\\u226e\",ngtr:\"\\u226f\",nleq:\"\\u2270\",ngeq:\"\\u2271\",nleqslant:[\"\\u2a87\",{variantForm:!0}],ngeqslant:[\"\\u2a88\",{variantForm:!0}],nleqq:[\"\\u2270\",{variantForm:!0}],ngeqq:[\"\\u2271\",{variantForm:!0}],lneq:\"\\u2a87\",gneq:\"\\u2a88\",lneqq:\"\\u2268\",gneqq:\"\\u2269\",lvertneqq:[\"\\u2268\",{variantForm:!0}],gvertneqq:[\"\\u2269\",{variantForm:!0}],lnsim:\"\\u22e6\",gnsim:\"\\u22e7\",lnapprox:\"\\u2a89\",gnapprox:\"\\u2a8a\",nprec:\"\\u2280\",nsucc:\"\\u2281\",npreceq:[\"\\u22e0\",{variantForm:!0}],nsucceq:[\"\\u22e1\",{variantForm:!0}],precneqq:\"\\u2ab5\",succneqq:\"\\u2ab6\",precnsim:\"\\u22e8\",succnsim:\"\\u22e9\",precnapprox:\"\\u2ab9\",succnapprox:\"\\u2aba\",nsim:\"\\u2241\",ncong:\"\\u2247\",nshortmid:[\"\\u2224\",{variantForm:!0}],nshortparallel:[\"\\u2226\",{variantForm:!0}],nmid:\"\\u2224\",nparallel:\"\\u2226\",nvdash:\"\\u22ac\",nvDash:\"\\u22ad\",nVdash:\"\\u22ae\",nVDash:\"\\u22af\",ntriangleleft:\"\\u22ea\",ntriangleright:\"\\u22eb\",ntrianglelefteq:\"\\u22ec\",ntrianglerighteq:\"\\u22ed\",nsubseteq:\"\\u2288\",nsupseteq:\"\\u2289\",nsubseteqq:[\"\\u2288\",{variantForm:!0}],nsupseteqq:[\"\\u2289\",{variantForm:!0}],subsetneq:\"\\u228a\",supsetneq:\"\\u228b\",varsubsetneq:[\"\\u228a\",{variantForm:!0}],varsupsetneq:[\"\\u228b\",{variantForm:!0}],subsetneqq:\"\\u2acb\",supsetneqq:\"\\u2acc\",varsubsetneqq:[\"\\u2acb\",{variantForm:!0}],varsupsetneqq:[\"\\u2acc\",{variantForm:!0}],leftleftarrows:\"\\u21c7\",rightrightarrows:\"\\u21c9\",leftrightarrows:\"\\u21c6\",rightleftarrows:\"\\u21c4\",Lleftarrow:\"\\u21da\",Rrightarrow:\"\\u21db\",twoheadleftarrow:\"\\u219e\",twoheadrightarrow:\"\\u21a0\",leftarrowtail:\"\\u21a2\",rightarrowtail:\"\\u21a3\",looparrowleft:\"\\u21ab\",looparrowright:\"\\u21ac\",leftrightharpoons:\"\\u21cb\",rightleftharpoons:[\"\\u21cc\",{variantForm:!0}],curvearrowleft:\"\\u21b6\",curvearrowright:\"\\u21b7\",circlearrowleft:\"\\u21ba\",circlearrowright:\"\\u21bb\",Lsh:\"\\u21b0\",Rsh:\"\\u21b1\",upuparrows:\"\\u21c8\",downdownarrows:\"\\u21ca\",upharpoonleft:\"\\u21bf\",upharpoonright:\"\\u21be\",downharpoonleft:\"\\u21c3\",restriction:\"\\u21be\",multimap:\"\\u22b8\",downharpoonright:\"\\u21c2\",leftrightsquigarrow:\"\\u21ad\",rightsquigarrow:\"\\u21dd\",leadsto:\"\\u21dd\",dashrightarrow:\"\\u21e2\",dashleftarrow:\"\\u21e0\",nleftarrow:\"\\u219a\",nrightarrow:\"\\u219b\",nLeftarrow:\"\\u21cd\",nRightarrow:\"\\u21cf\",nleftrightarrow:\"\\u21ae\",nLeftrightarrow:\"\\u21ce\"}),new i.DelimiterMap(\"AMSsymbols-delimiter\",s.default.delimiter,{\"\\\\ulcorner\":\"\\u231c\",\"\\\\urcorner\":\"\\u231d\",\"\\\\llcorner\":\"\\u231e\",\"\\\\lrcorner\":\"\\u231f\"}),new i.CommandMap(\"AMSsymbols-macros\",{implies:[\"Macro\",\"\\\\;\\\\Longrightarrow\\\\;\"],impliedby:[\"Macro\",\"\\\\;\\\\Longleftarrow\\\\;\"]},l.AmsMethods)},\n",
-       "      737: function _(a,e,o,r,c){r();var n=a(547);a(738),o.AmsCdConfiguration=n.Configuration.create(\"amscd\",{handler:{character:[\"amscd_special\"],macro:[\"amscd_macros\"],environment:[\"amscd_environment\"]},options:{amscd:{colspace:\"5pt\",rowspace:\"5pt\",harrowsize:\"2.75em\",varrowsize:\"1.75em\",hideHorizontalLabels:!1}}})},\n",
-       "      738: function _(a,n,r,e,i){e();var m=a(550),o=a(557),t=a(739);new m.EnvironmentMap(\"amscd_environment\",o.default.environment,{CD:\"CD\"},t.default),new m.CommandMap(\"amscd_macros\",{minCDarrowwidth:\"minCDarrowwidth\",minCDarrowheight:\"minCDarrowheight\"},t.default),new m.MacroMap(\"amscd_special\",{\"@\":\"arrow\"},t.default)},\n",
-       "      739: function _(e,t,a,r,n){r();var i=e(535),o=e(549),c=e(529),s=e(532),l={CD:function(e,t){e.Push(t);var a=e.itemFactory.create(\"array\"),r=e.configuration.options.amscd;return a.setProperties({minw:e.stack.env.CD_minw||r.harrowsize,minh:e.stack.env.CD_minh||r.varrowsize}),a.arraydef={columnalign:\"center\",columnspacing:r.colspace,rowspacing:r.rowspace,displaystyle:!0},a},arrow:function(e,t){var a=e.string.charAt(e.i);if(!a.match(/[><VA.|=]/))return o.Other(e,t);e.i++;var r=e.stack.Top();r.isKind(\"array\")&&!r.Size()||(l.cell(e,t),r=e.stack.Top());for(var n,d=r,m=d.table.length%2==1,p=(d.row.length+(m?0:1))%2;p;)l.cell(e,t),p--;var f={minsize:d.getProperty(\"minw\"),stretchy:!0},h={minsize:d.getProperty(\"minh\"),stretchy:!0,symmetric:!0,lspace:0,rspace:0};if(\".\"===a);else if(\"|\"===a)n=e.create(\"token\",\"mo\",h,\"\\u2225\");else if(\"=\"===a)n=e.create(\"token\",\"mo\",f,\"=\");else{var u={\">\":\"\\u2192\",\"<\":\"\\u2190\",V:\"\\u2193\",A:\"\\u2191\"}[a],v=e.GetUpTo(t+a,a),w=e.GetUpTo(t+a,a);if(\">\"===a||\"<\"===a){if(n=e.create(\"token\",\"mo\",f,u),v||(v=\"\\\\kern \"+d.getProperty(\"minw\")),v||w){var g={width:\".67em\",lspace:\".33em\"};if(n=e.create(\"node\",\"munderover\",[n]),v){var k=new i.default(v,e.stack.env,e.configuration).mml(),y=e.create(\"node\",\"mpadded\",[k],g);s.default.setAttribute(y,\"voffset\",\".1em\"),s.default.setChild(n,n.over,y)}if(w){var C=new i.default(w,e.stack.env,e.configuration).mml();s.default.setChild(n,n.under,e.create(\"node\",\"mpadded\",[C],g))}e.configuration.options.amscd.hideHorizontalLabels&&(n=e.create(\"node\",\"mpadded\",n,{depth:0,height:\".67em\"}))}}else{var D=e.create(\"token\",\"mo\",h,u);n=D,(v||w)&&(n=e.create(\"node\",\"mrow\"),v&&s.default.appendChildren(n,[new i.default(\"\\\\scriptstyle\\\\llap{\"+v+\"}\",e.stack.env,e.configuration).mml()]),D.texClass=c.TEXCLASS.ORD,s.default.appendChildren(n,[D]),w&&s.default.appendChildren(n,[new i.default(\"\\\\scriptstyle\\\\rlap{\"+w+\"}\",e.stack.env,e.configuration).mml()]))}}n&&e.Push(n),l.cell(e,t)},cell:function(e,t){var a=e.stack.Top();(a.table||[]).length%2==0&&0===(a.row||[]).length&&e.Push(e.create(\"node\",\"mpadded\",[],{height:\"8.5pt\",depth:\"2pt\"})),e.Push(e.itemFactory.create(\"cell\").setProperties({isEntry:!0,name:t}))},minCDarrowwidth:function(e,t){e.stack.env.CD_minw=e.GetDimen(t)},minCDarrowheight:function(e,t){e.stack.env.CD_minh=e.GetDimen(t)}};a.default=l},\n",
-       "      740: function _(e,t,o,i,a){i();var n=e(547),r=e(550),d=e(537);o.BboxMethods={},o.BboxMethods.BBox=function(e,t){for(var o,i,a,n=e.GetBrackets(t,\"\"),r=e.ParseArg(t),s=n.split(/,/),f=0,p=s.length;f<p;f++){var u=s[f].trim(),h=u.match(/^(\\.\\d+|\\d+(\\.\\d*)?)(pt|em|ex|mu|px|in|cm|mm)$/);if(h){if(o)throw new d.default(\"MultipleBBoxProperty\",\"%1 specified twice in %2\",\"Padding\",t);var B=l(h[1]+h[3]);B&&(o={height:\"+\"+B,depth:\"+\"+B,lspace:B,width:\"+\"+2*parseInt(h[1],10)+h[3]})}else if(u.match(/^([a-z0-9]+|\\#[0-9a-f]{6}|\\#[0-9a-f]{3})$/i)){if(i)throw new d.default(\"MultipleBBoxProperty\",\"%1 specified twice in %2\",\"Background\",t);i=u}else if(u.match(/^[-a-z]+:/i)){if(a)throw new d.default(\"MultipleBBoxProperty\",\"%1 specified twice in %2\",\"Style\",t);a=c(u)}else if(\"\"!==u)throw new d.default(\"InvalidBBoxProperty\",'\"%1\" doesn\\'t look like a color, a padding dimension, or a style',u)}o&&(r=e.create(\"node\",\"mpadded\",[r],o)),(i||a)&&(o={},i&&Object.assign(o,{mathbackground:i}),a&&Object.assign(o,{style:a}),r=e.create(\"node\",\"mstyle\",[r],o)),e.Push(r)};var c=function(e){return e},l=function(e){return e};new r.CommandMap(\"bbox\",{bbox:\"BBox\"},o.BboxMethods),o.BboxConfiguration=n.Configuration.create(\"bbox\",{handler:{macro:[\"bbox\"]}})},\n",
-       "      741: function _(t,o,a,e,n){var r=this&&this.__values||function(t){var o=\"function\"==typeof Symbol&&Symbol.iterator,a=o&&t[o],e=0;if(a)return a.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(o?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var l=t(547),i=t(532),s=t(554),d=t(550),b=t(545),f={};function u(t,o,a,e){var n=b.NodeFactory.createToken(t,o,a,e);return\"mtext\"!==o&&t.configuration.parser.stack.env.boldsymbol&&(i.default.setProperty(n,\"fixBold\",!0),t.configuration.addNode(\"fixBold\",n)),n}function y(t){var o,a;try{for(var e=r(t.data.getList(\"fixBold\")),n=e.next();!n.done;n=e.next()){var l=n.value;if(i.default.getProperty(l,\"fixBold\")){var d=i.default.getAttribute(l,\"mathvariant\");null==d?i.default.setAttribute(l,\"mathvariant\",s.TexConstant.Variant.BOLD):i.default.setAttribute(l,\"mathvariant\",f[d]||d),i.default.removeProperties(l,\"fixBold\")}}}catch(t){o={error:t}}finally{try{n&&!n.done&&(a=e.return)&&a.call(e)}finally{if(o)throw o.error}}}f[s.TexConstant.Variant.NORMAL]=s.TexConstant.Variant.BOLD,f[s.TexConstant.Variant.ITALIC]=s.TexConstant.Variant.BOLDITALIC,f[s.TexConstant.Variant.FRAKTUR]=s.TexConstant.Variant.BOLDFRAKTUR,f[s.TexConstant.Variant.SCRIPT]=s.TexConstant.Variant.BOLDSCRIPT,f[s.TexConstant.Variant.SANSSERIF]=s.TexConstant.Variant.BOLDSANSSERIF,f[\"-tex-calligraphic\"]=\"-tex-bold-calligraphic\",f[\"-tex-oldstyle\"]=\"-tex-bold-oldstyle\",f[\"-tex-mathit\"]=s.TexConstant.Variant.BOLDITALIC,a.BoldsymbolMethods={},a.BoldsymbolMethods.Boldsymbol=function(t,o){var a=t.stack.env.boldsymbol;t.stack.env.boldsymbol=!0;var e=t.ParseArg(o);t.stack.env.boldsymbol=a,t.Push(e)},new d.CommandMap(\"boldsymbol\",{boldsymbol:\"Boldsymbol\"},a.BoldsymbolMethods),a.createBoldToken=u,a.rewriteBoldTokens=y,a.BoldsymbolConfiguration=l.Configuration.create(\"boldsymbol\",{handler:{macro:[\"boldsymbol\"]},nodes:{token:u},postprocessors:[y]})},\n",
-       "      742: function _(r,a,t,e,o){var c;e();var n=r(547),i=r(743);r(744),t.BraketConfiguration=n.Configuration.create(\"braket\",{handler:{character:[\"Braket-characters\"],macro:[\"Braket-macros\"]},items:(c={},c[i.BraketItem.prototype.kind]=i.BraketItem,c)})},\n",
-       "      743: function _(t,e,r,o,n){var i,c=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});o();var s=t(543),a=t(529),l=t(536),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return c(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"braket\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){return e.isKind(\"close\")?[[this.factory.create(\"mml\",this.toMml())],!0]:e.isKind(\"mml\")?(this.Push(e.toMml()),this.getProperty(\"single\")?[[this.toMml()],!0]:s.BaseItem.fail):t.prototype.checkItem.call(this,e)},e.prototype.toMml=function(){var e=t.prototype.toMml.call(this),r=this.getProperty(\"open\"),o=this.getProperty(\"close\");if(this.getProperty(\"stretchy\"))return l.default.fenced(this.factory.configuration,r,e,o);var n={fence:!0,stretchy:!1,symmetric:!0,texClass:a.TEXCLASS.OPEN},i=this.create(\"token\",\"mo\",n,r);n.texClass=a.TEXCLASS.CLOSE;var c=this.create(\"token\",\"mo\",n,o);return this.create(\"node\",\"mrow\",[i,e,c],{open:r,close:o,texClass:a.TEXCLASS.INNER})},e}(s.BaseItem);r.BraketItem=p},\n",
-       "      744: function _(r,e,a,t,l){t();var n=r(550),g=r(745);new n.CommandMap(\"Braket-macros\",{bra:[\"Macro\",\"{\\\\langle {#1} \\\\vert}\",1],ket:[\"Macro\",\"{\\\\vert {#1} \\\\rangle}\",1],braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!1,1/0],set:[\"Braket\",\"{\",\"}\",!1,1],Bra:[\"Macro\",\"{\\\\left\\\\langle {#1} \\\\right\\\\vert}\",1],Ket:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle}\",1],Braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!0,1/0],Set:[\"Braket\",\"{\",\"}\",!0,1],ketbra:[\"Macro\",\"{\\\\vert {#1} \\\\rangle\\\\langle {#2} \\\\vert}\",2],Ketbra:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle\\\\left\\\\langle {#2} \\\\right\\\\vert}\",2],\"|\":\"Bar\"},g.default),new n.MacroMap(\"Braket-characters\",{\"|\":\"Bar\"},g.default)},\n",
-       "      745: function _(e,t,r,a,o){a();var s=e(555),c=e(529),n=e(537),u={};u.Macro=s.default.Macro,u.Braket=function(e,t,r,a,o,s){var c=e.GetNext();if(\"\"===c)throw new n.default(\"MissingArgFor\",\"Missing argument for %1\",e.currentCS);var u=!0;\"{\"===c&&(e.i++,u=!1),e.Push(e.itemFactory.create(\"braket\").setProperties({barmax:s,barcount:0,open:r,close:a,stretchy:o,single:u}))},u.Bar=function(e,t){var r=\"|\"===t?\"|\":\"\\u2225\",a=e.stack.Top();if(\"braket\"!==a.kind||a.getProperty(\"barcount\")>=a.getProperty(\"barmax\")){var o=e.create(\"token\",\"mo\",{texClass:c.TEXCLASS.ORD,stretchy:!1},r);e.Push(o)}else{if(\"|\"===r&&\"|\"===e.GetNext()&&(e.i++,r=\"\\u2225\"),a.getProperty(\"stretchy\")){var s=e.create(\"node\",\"TeXAtom\",[],{texClass:c.TEXCLASS.CLOSE});e.Push(s),a.setProperty(\"barcount\",a.getProperty(\"barcount\")+1),s=e.create(\"token\",\"mo\",{stretchy:!0,braketbar:!0},r),e.Push(s),s=e.create(\"node\",\"TeXAtom\",[],{texClass:c.TEXCLASS.OPEN}),e.Push(s)}else{var n=e.create(\"token\",\"mo\",{stretchy:!1,braketbar:!0},r);e.Push(n)}}},r.default=u},\n",
-       "      746: function _(o,r,e,s,n){var t;s();var a=o(547),p=o(747),u=o(748);o(749),e.BussproofsConfiguration=a.Configuration.create(\"bussproofs\",{handler:{macro:[\"Bussproofs-macros\"],environment:[\"Bussproofs-environments\"]},items:(t={},t[p.ProofTreeItem.prototype.kind]=p.ProofTreeItem,t),preprocessors:[[u.saveDocument,1]],postprocessors:[[u.clearDocument,3],[u.makeBsprAttributes,2],[u.balanceRules,1]]})},\n",
-       "      747: function _(t,e,r,n,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});n();var s=t(537),c=t(543),u=t(540),f=t(748),p=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.leftLabel=null,e.rigthLabel=null,e.innerStack=new u.default(e.factory,{},!0),e}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"proofTree\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"end\")&&\"prooftree\"===t.getName()){var e=this.toMml();return f.setProperty(e,\"proof\",!0),[[this.factory.create(\"mml\",e),t],!0]}if(t.isKind(\"stop\"))throw new s.default(\"EnvMissingEnd\",\"Missing \\\\end{%1}\",this.getName());return this.innerStack.Push(t),c.BaseItem.fail},e.prototype.toMml=function(){var e=t.prototype.toMml.call(this),r=this.innerStack.Top();if(r.isKind(\"start\")&&!r.Size())return e;this.innerStack.Push(this.factory.create(\"stop\"));var n=this.innerStack.Top().toMml();return this.create(\"node\",\"mrow\",[n,e],{})},e}(c.BaseItem);r.ProofTreeItem=p},\n",
-       "      748: function _(e,t,r,n,o){var i,a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var n,o,i=r.call(e),a=[];try{for(;(void 0===t||t-- >0)&&!(n=i.next()).done;)a.push(n.value)}catch(e){o={error:e}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return a},d=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=e(532),l=e(536),c=null,s=null,f=function(e){return s.root=e,c.outputJax.getBBox(s,c).w},p=function(e){for(var t=0;e&&!u.default.isType(e,\"mtable\");){if(u.default.isType(e,\"text\"))return null;u.default.isType(e,\"mrow\")?(e=e.childNodes[0],t=0):(e=e.parent.childNodes[t],t++)}return e},h=function(e,t){return e.childNodes[\"up\"===t?1:0].childNodes[0].childNodes[0].childNodes[0].childNodes[0]},y=function(e,t){return e.childNodes[t].childNodes[0].childNodes[0]},v=function(e){return y(e,0)},m=function(e){return y(e,e.childNodes.length-1)},g=function(e,t){return e.childNodes[\"up\"===t?0:1].childNodes[0].childNodes[0].childNodes[0]},P=function(e){for(;e&&!u.default.isType(e,\"mtd\");)e=e.parent;return e},N=function(e){return e.parent.childNodes[e.parent.childNodes.indexOf(e)+1]},x=function(e){for(;e&&null==r.getProperty(e,\"inference\");)e=e.parent;return e},b=function(e,t,r){void 0===r&&(r=!1);var n=0;if(e===t)return n;if(e!==t.parent){var o=e.childNodes,i=r?o.length-1:0;u.default.isType(o[i],\"mspace\")&&(n+=f(o[i])),e=t.parent}if(e===t)return n;var a=e.childNodes,d=r?a.length-1:0;return a[d]!==t&&(n+=f(a[d])),n},w=function(e,t){void 0===t&&(t=!1);var n=p(e),o=g(n,r.getProperty(n,\"inferenceRule\"));return b(e,n,t)+(f(n)-f(o))/2},A=function(e,t,n,o){if(void 0===o&&(o=!1),r.getProperty(t,\"inferenceRule\")||r.getProperty(t,\"labelledRule\")){var i=e.nodeFactory.create(\"node\",\"mrow\");t.parent.replaceChild(i,t),i.setChildren([t]),j(t,i),t=i}var a=o?t.childNodes.length-1:0,d=t.childNodes[a];u.default.isType(d,\"mspace\")?u.default.setAttribute(d,\"width\",l.default.Em(l.default.dimen2em(u.default.getAttribute(d,\"width\"))+n)):(d=e.nodeFactory.create(\"node\",\"mspace\",[],{width:l.default.Em(n)}),o?t.appendChild(d):(d.parent=t,t.childNodes.unshift(d)))},j=function(e,t){[\"inference\",\"proof\",\"maxAdjust\",\"labelledRule\"].forEach((function(n){var o=r.getProperty(e,n);null!=o&&(r.setProperty(t,n,o),r.removeProperty(e,n))}))},R=function(e,t,n,o,i){var a=e.nodeFactory.create(\"node\",\"mspace\",[],{width:l.default.Em(i)});if(\"left\"===o){var d=t.childNodes[n].childNodes[0];a.parent=d,d.childNodes.unshift(a)}else t.childNodes[n].appendChild(a);r.setProperty(t.parent,\"sequentAdjust_\"+o,i)},T=function(e,t){for(var n=t.pop();t.length;){var o=t.pop(),i=a(_(n,o),2),d=i[0],u=i[1];r.getProperty(n.parent,\"axiom\")&&(R(e,d<0?n:o,0,\"left\",Math.abs(d)),R(e,u<0?n:o,2,\"right\",Math.abs(u))),n=o}},_=function(e,t){var r=f(e.childNodes[2]),n=f(t.childNodes[2]);return[f(e.childNodes[0])-f(t.childNodes[0]),r-n]};r.balanceRules=function(e){var t,n;s=new e.document.options.MathItem(\"\",null,e.math.display);var o=e.data;!function(e){var t=e.nodeLists.sequent;if(t)for(var n=t.length-1,o=void 0;o=t[n];n--)if(r.getProperty(o,\"sequentProcessed\"))r.removeProperty(o,\"sequentProcessed\");else{var i=[],a=x(o);if(1===r.getProperty(a,\"inference\")){for(i.push(o);1===r.getProperty(a,\"inference\");){a=p(a);var d=v(h(a,r.getProperty(a,\"inferenceRule\"))),u=r.getProperty(d,\"inferenceRule\")?g(d,r.getProperty(d,\"inferenceRule\")):d;r.getProperty(u,\"sequent\")&&(o=u.childNodes[0],i.push(o),r.setProperty(o,\"sequentProcessed\",!0)),a=d}T(e,i)}}}(o);var i=o.nodeLists.inference||[];try{for(var a=d(i),u=a.next();!u.done;u=a.next()){var l=u.value,c=r.getProperty(l,\"proof\"),f=p(l),y=h(f,r.getProperty(f,\"inferenceRule\")),j=v(y);if(r.getProperty(j,\"inference\")){var R=w(j);if(R){A(o,j,-R);var _=b(l,f,!1);A(o,l,R-_)}}var E=m(y);if(null!=r.getProperty(E,\"inference\")){var q=w(E,!0);A(o,E,-q,!0);var B=b(l,f,!0),C=r.getProperty(l,\"maxAdjust\");null!=C&&(q=Math.max(q,C));var M=void 0;if(!c&&(M=P(l))){var S=N(M);if(S){var F=o.nodeFactory.create(\"node\",\"mspace\",[],{width:q-B+\"em\"});S.appendChild(F),l.removeProperty(\"maxAdjust\")}else{var k=x(M);k&&(q=r.getProperty(k,\"maxAdjust\")?Math.max(r.getProperty(k,\"maxAdjust\"),q):q,r.setProperty(k,\"maxAdjust\",q))}}else A(o,r.getProperty(l,\"proof\")?l:l.parent,q-B,!0)}}}catch(e){t={error:e}}finally{try{u&&!u.done&&(n=a.return)&&n.call(a)}finally{if(t)throw t.error}}};var E=\"bspr_\",q=((i={}).bspr_maxAdjust=!0,i);r.setProperty=function(e,t,r){u.default.setProperty(e,E+t,r)};r.getProperty=function(e,t){return u.default.getProperty(e,E+t)};r.removeProperty=function(e,t){e.removeProperty(E+t)};r.makeBsprAttributes=function(e){e.data.root.walkTree((function(e,t){var r=[];e.getPropertyNames().forEach((function(t){!q[t]&&t.match(RegExp(\"^bspr_\"))&&r.push(t+\":\"+e.getProperty(t))})),r.length&&u.default.setAttribute(e,\"semantics\",r.join(\";\"))}))};r.saveDocument=function(e){if(!(\"getBBox\"in(c=e.document).outputJax))throw Error(\"The bussproofs extension requires an output jax with a getBBox() method\")};r.clearDocument=function(e){c=null}},\n",
-       "      749: function _(e,n,o,t,r){t();var a=e(750),i=e(557),f=e(550);new f.CommandMap(\"Bussproofs-macros\",{AxiomC:\"Axiom\",UnaryInfC:[\"Inference\",1],BinaryInfC:[\"Inference\",2],TrinaryInfC:[\"Inference\",3],QuaternaryInfC:[\"Inference\",4],QuinaryInfC:[\"Inference\",5],RightLabel:[\"Label\",\"right\"],LeftLabel:[\"Label\",\"left\"],AXC:\"Axiom\",UIC:[\"Inference\",1],BIC:[\"Inference\",2],TIC:[\"Inference\",3],RL:[\"Label\",\"right\"],LL:[\"Label\",\"left\"],noLine:[\"SetLine\",\"none\",!1],singleLine:[\"SetLine\",\"solid\",!1],solidLine:[\"SetLine\",\"solid\",!1],dashedLine:[\"SetLine\",\"dashed\",!1],alwaysNoLine:[\"SetLine\",\"none\",!0],alwaysSingleLine:[\"SetLine\",\"solid\",!0],alwaysSolidLine:[\"SetLine\",\"solid\",!0],alwaysDashedLine:[\"SetLine\",\"dashed\",!0],rootAtTop:[\"RootAtTop\",!0],alwaysRootAtTop:[\"RootAtTop\",!0],rootAtBottom:[\"RootAtTop\",!1],alwaysRootAtBottom:[\"RootAtTop\",!1],fCenter:\"FCenter\",Axiom:\"AxiomF\",UnaryInf:[\"InferenceF\",1],BinaryInf:[\"InferenceF\",2],TrinaryInf:[\"InferenceF\",3],QuaternaryInf:[\"InferenceF\",4],QuinaryInf:[\"InferenceF\",5]},a.default),new f.EnvironmentMap(\"Bussproofs-environments\",i.default.environment,{prooftree:[\"Prooftree\",null,!1]},a.default)},\n",
-       "      750: function _(e,t,r,o,n){var a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var o,n,a=r.call(e),i=[];try{for(;(void 0===t||t-- >0)&&!(o=a.next()).done;)i.push(o.value)}catch(e){n={error:e}}finally{try{o&&!o.done&&(r=a.return)&&r.call(a)}finally{if(n)throw n.error}}return i},i=this&&this.__spreadArray||function(e,t){for(var r=0,o=t.length,n=e.length;r<o;r++,n++)e[n]=t[r];return e};o();var l=e(537),f=e(535),d=e(536),c=e(748),m={Prooftree:function(e,t){return e.Push(t),e.itemFactory.create(\"proofTree\").setProperties({name:t.getName(),line:\"solid\",currentLine:\"solid\",rootAtTop:!1})},Axiom:function(e,t){var r=e.stack.Top();if(\"proofTree\"!==r.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");var o=p(e,e.GetArgument(t));c.setProperty(o,\"axiom\",!0),r.Push(o)}},p=function(e,t){var r=d.default.internalMath(e,d.default.trimSpaces(t),0);if(!r[0].childNodes[0].childNodes.length)return e.create(\"node\",\"mrow\",[]);var o=e.create(\"node\",\"mspace\",[],{width:\".5ex\"}),n=e.create(\"node\",\"mspace\",[],{width:\".5ex\"});return e.create(\"node\",\"mrow\",i(i([o],a(r)),[n]))};function s(e,t,r,o,n,a,i){var l,f,d,m,p=e.create(\"node\",\"mtr\",[e.create(\"node\",\"mtd\",[t],{})],{}),s=e.create(\"node\",\"mtr\",[e.create(\"node\",\"mtd\",r,{})],{}),u=e.create(\"node\",\"mtable\",i?[s,p]:[p,s],{align:\"top 2\",rowlines:a,framespacing:\"0 0\"});if(c.setProperty(u,\"inferenceRule\",i?\"up\":\"down\"),o&&(l=e.create(\"node\",\"mpadded\",[o],{height:\"+.5em\",width:\"+.5em\",voffset:\"-.15em\"}),c.setProperty(l,\"prooflabel\",\"left\")),n&&(f=e.create(\"node\",\"mpadded\",[n],{height:\"+.5em\",width:\"+.5em\",voffset:\"-.15em\"}),c.setProperty(f,\"prooflabel\",\"right\")),o&&n)d=[l,u,f],m=\"both\";else if(o)d=[l,u],m=\"left\";else{if(!n)return u;d=[u,f],m=\"right\"}return u=e.create(\"node\",\"mrow\",d),c.setProperty(u,\"labelledRule\",m),u}function u(e,t){if(\"$\"!==e.GetNext())throw new l.default(\"IllegalUseOfCommand\",\"Use of %1 does not match it's definition.\",t);e.i++;var r=e.GetUpTo(t,\"$\");if(-1===r.indexOf(\"\\\\fCenter\"))throw new l.default(\"IllegalUseOfCommand\",\"Missing \\\\fCenter in %1.\",t);var o=a(r.split(\"\\\\fCenter\"),2),n=o[0],i=o[1],d=new f.default(n,e.stack.env,e.configuration).mml(),m=new f.default(i,e.stack.env,e.configuration).mml(),p=new f.default(\"\\\\fCenter\",e.stack.env,e.configuration).mml(),s=e.create(\"node\",\"mtd\",[d],{}),u=e.create(\"node\",\"mtd\",[p],{}),P=e.create(\"node\",\"mtd\",[m],{}),h=e.create(\"node\",\"mtr\",[s,u,P],{}),g=e.create(\"node\",\"mtable\",[h],{columnspacing:\".5ex\",columnalign:\"center 2\"});return c.setProperty(g,\"sequent\",!0),e.configuration.addNode(\"sequent\",h),g}m.Inference=function(e,t,r){var o=e.stack.Top();if(\"proofTree\"!==o.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");if(o.Size()<r)throw new l.default(\"BadProofTree\",\"Proof tree badly specified.\");var n=o.getProperty(\"rootAtTop\"),a=1!==r||o.Peek()[0].childNodes.length?r:0,i=[];do{i.length&&i.unshift(e.create(\"node\",\"mtd\",[],{})),i.unshift(e.create(\"node\",\"mtd\",[o.Pop()],{rowalign:n?\"top\":\"bottom\"})),r--}while(r>0);var f=e.create(\"node\",\"mtr\",i,{}),d=e.create(\"node\",\"mtable\",[f],{framespacing:\"0 0\"}),m=p(e,e.GetArgument(t)),u=o.getProperty(\"currentLine\");u!==o.getProperty(\"line\")&&o.setProperty(\"currentLine\",o.getProperty(\"line\"));var P=s(e,d,[m],o.getProperty(\"left\"),o.getProperty(\"right\"),u,n);o.setProperty(\"left\",null),o.setProperty(\"right\",null),c.setProperty(P,\"inference\",a),e.configuration.addNode(\"inference\",P),o.Push(P)},m.Label=function(e,t,r){var o=e.stack.Top();if(\"proofTree\"!==o.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");var n=d.default.internalMath(e,e.GetArgument(t),0),a=n.length>1?e.create(\"node\",\"mrow\",n,{}):n[0];o.setProperty(r,a)},m.SetLine=function(e,t,r,o){var n=e.stack.Top();if(\"proofTree\"!==n.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");n.setProperty(\"currentLine\",r),o&&n.setProperty(\"line\",r)},m.RootAtTop=function(e,t,r){var o=e.stack.Top();if(\"proofTree\"!==o.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");o.setProperty(\"rootAtTop\",r)},m.AxiomF=function(e,t){var r=e.stack.Top();if(\"proofTree\"!==r.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");var o=u(e,t);c.setProperty(o,\"axiom\",!0),r.Push(o)},m.FCenter=function(e,t){},m.InferenceF=function(e,t,r){var o=e.stack.Top();if(\"proofTree\"!==o.kind)throw new l.default(\"IllegalProofCommand\",\"Proof commands only allowed in prooftree environment.\");if(o.Size()<r)throw new l.default(\"BadProofTree\",\"Proof tree badly specified.\");var n=o.getProperty(\"rootAtTop\"),a=1!==r||o.Peek()[0].childNodes.length?r:0,i=[];do{i.length&&i.unshift(e.create(\"node\",\"mtd\",[],{})),i.unshift(e.create(\"node\",\"mtd\",[o.Pop()],{rowalign:n?\"top\":\"bottom\"})),r--}while(r>0);var f=e.create(\"node\",\"mtr\",i,{}),d=e.create(\"node\",\"mtable\",[f],{framespacing:\"0 0\"}),m=u(e,t),p=o.getProperty(\"currentLine\");p!==o.getProperty(\"line\")&&o.setProperty(\"currentLine\",o.getProperty(\"line\"));var P=s(e,d,[m],o.getProperty(\"left\"),o.getProperty(\"right\"),p,n);o.setProperty(\"left\",null),o.setProperty(\"right\",null),c.setProperty(P,\"inference\",a),e.configuration.addNode(\"inference\",P),o.Push(P)},r.default=m},\n",
-       "      751: function _(e,n,a,t,o){t();var c=e(547),l=e(554),s=e(550),C=e(536),i=e(752);a.CancelMethods={},a.CancelMethods.Cancel=function(e,n,a){var t=e.GetBrackets(n,\"\"),o=e.ParseArg(n),c=C.default.keyvalOptions(t,i.ENCLOSE_OPTIONS);c.notation=a,e.Push(e.create(\"node\",\"menclose\",[o],c))},a.CancelMethods.CancelTo=function(e,n){var a=e.GetBrackets(n,\"\"),t=e.ParseArg(n),o=e.ParseArg(n),c=C.default.keyvalOptions(a,i.ENCLOSE_OPTIONS);c.notation=[l.TexConstant.Notation.UPDIAGONALSTRIKE,l.TexConstant.Notation.UPDIAGONALARROW,l.TexConstant.Notation.NORTHEASTARROW].join(\" \"),t=e.create(\"node\",\"mpadded\",[t],{depth:\"-.1em\",height:\"+.1em\",voffset:\".1em\"}),e.Push(e.create(\"node\",\"msup\",[e.create(\"node\",\"menclose\",[o],c),t]))},new s.CommandMap(\"cancel\",{cancel:[\"Cancel\",l.TexConstant.Notation.UPDIAGONALSTRIKE],bcancel:[\"Cancel\",l.TexConstant.Notation.DOWNDIAGONALSTRIKE],xcancel:[\"Cancel\",l.TexConstant.Notation.UPDIAGONALSTRIKE+\" \"+l.TexConstant.Notation.DOWNDIAGONALSTRIKE],cancelto:\"CancelTo\"},a.CancelMethods),a.CancelConfiguration=c.Configuration.create(\"cancel\",{handler:{macro:[\"cancel\"]}})},\n",
-       "      752: function _(e,o,n,a,c){a();var t=e(547),s=e(550),r=e(536);n.ENCLOSE_OPTIONS={\"data-arrowhead\":1,color:1,mathcolor:1,background:1,mathbackground:1,\"data-padding\":1,\"data-thickness\":1},n.EncloseMethods={},n.EncloseMethods.Enclose=function(e,o){var a=e.GetArgument(o).replace(/,/g,\" \"),c=e.GetBrackets(o,\"\"),t=e.ParseArg(o),s=r.default.keyvalOptions(c,n.ENCLOSE_OPTIONS);s.notation=a,e.Push(e.create(\"node\",\"menclose\",[t],s))},new s.CommandMap(\"enclose\",{enclose:\"Enclose\"},n.EncloseMethods),n.EncloseConfiguration=t.Configuration.create(\"enclose\",{handler:{macro:[\"enclose\"]}})},\n",
-       "      753: function _(t,e,r,n,s){var a,o,i=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});n();var u=t(547),c=t(550),l=t(536),p=t(555),f=t(537),h=t(552),m=t(733),y=t(754),g=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"cases-begin\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){return e.isKind(\"end\")&&e.getName()===this.getName()&&this.getProperty(\"end\")?(this.setProperty(\"end\",!1),[[],!0]):t.prototype.checkItem.call(this,e)},e}(h.BeginItem);r.CasesBeginItem=g;var d=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.subcounter=0,e}return i(e,t),e.prototype.start=function(e,r,n){this.subcounter=0,t.prototype.start.call(this,e,r,n)},e.prototype.autoTag=function(){null==this.currentTag.tag&&(\"subnumcases\"===this.currentTag.env?(0===this.subcounter&&this.counter++,this.subcounter++,this.tag(this.formatNumber(this.counter,this.subcounter),!1)):(0!==this.subcounter&&\"numcases-left\"===this.currentTag.env||this.counter++,this.tag(this.formatNumber(this.counter),!1)))},e.prototype.formatNumber=function(t,e){return void 0===e&&(e=null),t.toString()+(null===e?\"\":String.fromCharCode(96+e))},e}(m.AmsTags);r.CasesTags=d,r.CasesMethods={NumCases:function(t,e){if(t.stack.env.closing===e.getName()){delete t.stack.env.closing,t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName()));var r=t.stack.Top(),n=r.Last,s=l.default.copyNode(n,t),a=r.getProperty(\"left\");return y.EmpheqUtil.left(n,s,a+\"\\\\empheqlbrace\\\\,\",t,\"numcases-left\"),t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName())),null}a=t.GetArgument(\"\\\\begin{\"+e.getName()+\"}\");e.setProperty(\"left\",a);var o=p.default.EqnArray(t,e,!0,!0,\"ll\");return o.arraydef.displaystyle=!1,o.arraydef.rowspacing=\".2em\",o.setProperty(\"numCases\",!0),t.Push(e),o},Entry:function(t,e){if(!t.stack.Top().getProperty(\"numCases\"))return p.default.Entry(t,e);t.Push(t.itemFactory.create(\"cell\").setProperties({isEntry:!0,name:e}));for(var r=t.string,n=0,s=t.i,a=r.length;s<a;){var o=r.charAt(s);if(\"{\"===o)n++,s++;else if(\"}\"===o){if(0===n)break;n--,s++}else{if(\"&\"===o&&0===n)throw new f.default(\"ExtraCasesAlignTab\",\"Extra alignment tab in text for numcase environment\");if(\"\\\\\"===o&&0===n){var i=(r.slice(s+1).match(/^[a-z]+|./i)||[])[0];if(\"\\\\\"===i||\"cr\"===i||\"end\"===i||\"label\"===i)break;s+=i.length}else s++}}var u=r.substr(t.i,s-t.i).replace(/^\\s*/,\"\");t.PushAll(l.default.internalMath(t,u,0)),t.i=s}},new c.EnvironmentMap(\"cases-env\",y.EmpheqUtil.environment,{numcases:[\"NumCases\",\"cases\"],subnumcases:[\"NumCases\",\"cases\"]},r.CasesMethods),new c.MacroMap(\"cases-macros\",{\"&\":\"Entry\"},r.CasesMethods),r.CasesConfiguration=u.Configuration.create(\"cases\",{handler:{environment:[\"cases-env\"],character:[\"cases-macros\"]},items:(o={},o[g.prototype.kind]=g,o),tags:{cases:d}})},\n",
-       "      754: function _(e,t,n,r,i){var l=this&&this.__read||function(e,t){var n=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!n)return e;var r,i,l=n.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(r=l.next()).done;)o.push(r.value)}catch(e){i={error:e}}finally{try{r&&!r.done&&(n=l.return)&&n.call(l)}finally{if(i)throw i.error}}return o},o=this&&this.__spreadArray||function(e,t){for(var n=0,r=t.length,i=e.length;n<r;n++,i++)e[i]=t[n];return e},a=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,n=t&&e[t],r=0;if(n)return n.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&r>=e.length&&(e=void 0),{value:e&&e[r++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var d=e(536),c=e(535);n.EmpheqUtil={environment:function(e,t,n,r){var i=r[0],a=e.itemFactory.create(i+\"-begin\").setProperties({name:t,end:i});e.Push(n.apply(void 0,o([e,a],l(r.slice(1)))))},splitOptions:function(e,t){return void 0===t&&(t=null),d.default.keyvalOptions(e,t,!0)},columnCount:function(e){var t,n,r=0;try{for(var i=a(e.childNodes),l=i.next();!l.done;l=i.next()){var o=l.value,d=o.childNodes.length-(o.isKind(\"mlabeledtr\")?1:0);d>r&&(r=d)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(n=i.return)&&n.call(i)}finally{if(t)throw t.error}}return r},cellBlock:function(e,t,n,r){var i,l,o=n.create(\"node\",\"mpadded\",[],{height:0,depth:0,voffset:\"-1height\"}),d=new c.default(e,n.stack.env,n.configuration),s=d.mml();r&&d.configuration.tags.label&&(d.configuration.tags.currentTag.env=r,d.configuration.tags.getTag(!0));try{for(var u=a(s.isInferred?s.childNodes:[s]),h=u.next();!h.done;h=u.next()){var f=h.value;o.appendChild(f)}}catch(e){i={error:e}}finally{try{h&&!h.done&&(l=u.return)&&l.call(u)}finally{if(i)throw i.error}}return o.appendChild(n.create(\"node\",\"mphantom\",[n.create(\"node\",\"mpadded\",[t],{width:0})])),o},topRowTable:function(e,t){var n=d.default.copyNode(e,t);return n.setChildren(n.childNodes.slice(0,1)),n.attributes.set(\"align\",\"baseline 1\"),e.factory.create(\"mphantom\",{},[t.create(\"node\",\"mpadded\",[n],{width:0})])},rowspanCell:function(e,t,n,r,i){e.appendChild(r.create(\"node\",\"mpadded\",[this.cellBlock(t,d.default.copyNode(n,r),r,i),this.topRowTable(n,r)],{height:0,depth:0,voffset:\"height\"}))},left:function(e,t,n,r,i){var l,o,d;void 0===i&&(i=\"\"),e.attributes.set(\"columnalign\",\"right \"+(e.attributes.get(\"columnalign\")||\"\")),e.attributes.set(\"columnspacing\",\"0em \"+(e.attributes.get(\"columnspacing\")||\"\"));try{for(var c=a(e.childNodes.slice(0).reverse()),s=c.next();!s.done;s=c.next()){var u=s.value;d=r.create(\"node\",\"mtd\"),u.childNodes.unshift(d),u.replaceChild(d,d),u.isKind(\"mlabeledtr\")&&(u.childNodes[0]=u.childNodes[1],u.childNodes[1]=d)}}catch(e){l={error:e}}finally{try{s&&!s.done&&(o=c.return)&&o.call(c)}finally{if(l)throw l.error}}this.rowspanCell(d,n,t,r,i)},right:function(e,t,r,i,l){void 0===l&&(l=\"\"),0===e.childNodes.length&&e.appendChild(i.create(\"node\",\"mtr\"));for(var o=n.EmpheqUtil.columnCount(e),a=e.childNodes[0];a.childNodes.length<o;)a.appendChild(i.create(\"node\",\"mtd\"));var d=a.appendChild(i.create(\"node\",\"mtd\"));n.EmpheqUtil.rowspanCell(d,r,t,i,l),e.attributes.set(\"columnalign\",(e.attributes.get(\"columnalign\")||\"\").split(/ /).slice(0,o).join(\" \")+\" left\"),e.attributes.set(\"columnspacing\",(e.attributes.get(\"columnspacing\")||\"\").split(/ /).slice(0,o-1).join(\" \")+\" 0em\")},adjustTable:function(e,t){var n=e.getProperty(\"left\"),r=e.getProperty(\"right\");if(n||r){var i=e.Last,l=d.default.copyNode(i,t);n&&this.left(i,l,n,t),r&&this.right(i,l,r,t)}},allowEnv:{equation:!0,align:!0,gather:!0,flalign:!0,alignat:!0,multline:!0},checkEnv:function(e){return this.allowEnv.hasOwnProperty(e.replace(/\\*$/,\"\"))||!1}}},\n",
-       "      755: function _(e,t,r,n,a){var o=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var i=e(547),c=e(535),d=e(532),l=e(550),u=e(555);function f(e){var t,r,n=e.data;try{for(var a=o(n.getList(\"centerOver\")),i=a.next();!i.done;i=a.next()){var c=i.value,l=d.default.getTexClass(c.childNodes[0].childNodes[0]);null!==l&&d.default.setProperties(c.parent.parent.parent.parent.parent.parent,{texClass:l})}}catch(e){t={error:e}}finally{try{i&&!i.done&&(r=a.return)&&r.call(a)}finally{if(t)throw t.error}}}new l.CommandMap(\"centernot\",{centerOver:\"CenterOver\",centernot:[\"Macro\",\"\\\\centerOver{#1}{{\\u29f8}}\",1]},{CenterOver:function(e,t){var r=\"{\"+e.GetArgument(t)+\"}\",n=e.ParseArg(t),a=new c.default(r,e.stack.env,e.configuration).mml(),o=e.create(\"node\",\"TeXAtom\",[new c.default(r,e.stack.env,e.configuration).mml(),e.create(\"node\",\"mpadded\",[e.create(\"node\",\"mpadded\",[n],{width:0,lspace:\"-.5width\"}),e.create(\"node\",\"mphantom\",[a])],{width:0,lspace:\"-.5width\"})]);e.configuration.addNode(\"centerOver\",a),e.Push(o)},Macro:u.default.Macro}),r.filterCenterOver=f,r.CenternotConfiguration=i.Configuration.create(\"centernot\",{handler:{macro:[\"centernot\"]},postprocessors:[f]})},\n",
-       "      756: function _(o,r,l,e,n){e();var c=o(550),a=o(547),t=o(757),i=o(758);new c.CommandMap(\"color\",{color:\"Color\",textcolor:\"TextColor\",definecolor:\"DefineColor\",colorbox:\"ColorBox\",fcolorbox:\"FColorBox\"},t.ColorMethods);l.ColorConfiguration=a.Configuration.create(\"color\",{handler:{macro:[\"color\"]},options:{color:{padding:\"5px\",borderWidth:\"2px\"}},config:function(o,r){r.parseOptions.packageData.set(\"color\",{model:new i.ColorModel})}})},\n",
-       "      757: function _(e,o,t,r,a){r();var n=e(532),l=e(536);function c(e){var o=\"+\"+e,t=e.replace(/^.*?([a-z]*)$/,\"$1\");return{width:\"+\"+2*parseFloat(o)+t,height:o,depth:o,lspace:e}}t.ColorMethods={},t.ColorMethods.Color=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.itemFactory.create(\"style\").setProperties({styles:{mathcolor:a}});e.stack.env.color=a,e.Push(n)},t.ColorMethods.TextColor=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.stack.env.color;e.stack.env.color=a;var l=e.ParseArg(o);n?e.stack.env.color=n:delete e.stack.env.color;var c=e.create(\"node\",\"mstyle\",[l],{mathcolor:a});e.Push(c)},t.ColorMethods.DefineColor=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=e.GetArgument(o);e.configuration.packageData.get(\"color\").model.defineColor(r,t,a)},t.ColorMethods.ColorBox=function(e,o){var t=e.GetArgument(o),r=l.default.internalMath(e,e.GetArgument(o)),a=e.configuration.packageData.get(\"color\").model,d=e.create(\"node\",\"mpadded\",r,{mathbackground:a.getColor(\"named\",t)});n.default.setProperties(d,c(e.options.color.padding)),e.Push(d)},t.ColorMethods.FColorBox=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=l.default.internalMath(e,e.GetArgument(o)),d=e.options.color,g=e.configuration.packageData.get(\"color\").model,s=e.create(\"node\",\"mpadded\",a,{mathbackground:g.getColor(\"named\",r),style:\"border: \"+d.borderWidth+\" solid \"+g.getColor(\"named\",t)});n.default.setProperties(s,c(d.padding)),e.Push(s)}},\n",
-       "      758: function _(e,r,t,o,n){var l=this&&this.__values||function(e){var r=\"function\"==typeof Symbol&&Symbol.iterator,t=r&&e[r],o=0;if(t)return t.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&o>=e.length&&(e=void 0),{value:e&&e[o++],done:!e}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var a=e(537),i=e(759),u=new Map,d=function(){function e(){this.userColors=new Map}return e.prototype.normalizeColor=function(e,r){if(!e||\"named\"===e)return r;if(u.has(e))return u.get(e)(r);throw new a.default(\"UndefinedColorModel\",\"Color model '%1' not defined\",e)},e.prototype.getColor=function(e,r){return e&&\"named\"!==e?this.normalizeColor(e,r):this.getColorByName(r)},e.prototype.getColorByName=function(e){return this.userColors.has(e)?this.userColors.get(e):i.COLORS.has(e)?i.COLORS.get(e):e},e.prototype.defineColor=function(e,r,t){var o=this.normalizeColor(e,t);this.userColors.set(r,o)},e}();t.ColorModel=d,u.set(\"rgb\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"rgb\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^(\\d+(\\.\\d*)?|\\.\\d+)$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var f=parseFloat(d);if(f<0||f>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"rgb\",\"0\",\"1\");var s=Math.floor(255*f).toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"RGB\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"RGB\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^\\d+$/))throw new a.default(\"InvalidNumber\",\"Invalid number\");var f=parseInt(d);if(f>255)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"RGB\",\"0\",\"255\");var s=f.toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"gray\",(function(e){if(!e.match(/^\\s*(\\d+(\\.\\d*)?|\\.\\d+)\\s*$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var r=parseFloat(e);if(r<0||r>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"gray\",\"0\",\"1\");var t=Math.floor(255*r).toString(16);return t.length<2&&(t=\"0\"+t),\"#\"+t+t+t}))},\n",
-       "      759: function _(e,n,r,l,B){l(),r.COLORS=new Map([[\"Apricot\",\"#FBB982\"],[\"Aquamarine\",\"#00B5BE\"],[\"Bittersweet\",\"#C04F17\"],[\"Black\",\"#221E1F\"],[\"Blue\",\"#2D2F92\"],[\"BlueGreen\",\"#00B3B8\"],[\"BlueViolet\",\"#473992\"],[\"BrickRed\",\"#B6321C\"],[\"Brown\",\"#792500\"],[\"BurntOrange\",\"#F7921D\"],[\"CadetBlue\",\"#74729A\"],[\"CarnationPink\",\"#F282B4\"],[\"Cerulean\",\"#00A2E3\"],[\"CornflowerBlue\",\"#41B0E4\"],[\"Cyan\",\"#00AEEF\"],[\"Dandelion\",\"#FDBC42\"],[\"DarkOrchid\",\"#A4538A\"],[\"Emerald\",\"#00A99D\"],[\"ForestGreen\",\"#009B55\"],[\"Fuchsia\",\"#8C368C\"],[\"Goldenrod\",\"#FFDF42\"],[\"Gray\",\"#949698\"],[\"Green\",\"#00A64F\"],[\"GreenYellow\",\"#DFE674\"],[\"JungleGreen\",\"#00A99A\"],[\"Lavender\",\"#F49EC4\"],[\"LimeGreen\",\"#8DC73E\"],[\"Magenta\",\"#EC008C\"],[\"Mahogany\",\"#A9341F\"],[\"Maroon\",\"#AF3235\"],[\"Melon\",\"#F89E7B\"],[\"MidnightBlue\",\"#006795\"],[\"Mulberry\",\"#A93C93\"],[\"NavyBlue\",\"#006EB8\"],[\"OliveGreen\",\"#3C8031\"],[\"Orange\",\"#F58137\"],[\"OrangeRed\",\"#ED135A\"],[\"Orchid\",\"#AF72B0\"],[\"Peach\",\"#F7965A\"],[\"Periwinkle\",\"#7977B8\"],[\"PineGreen\",\"#008B72\"],[\"Plum\",\"#92268F\"],[\"ProcessBlue\",\"#00B0F0\"],[\"Purple\",\"#99479B\"],[\"RawSienna\",\"#974006\"],[\"Red\",\"#ED1B23\"],[\"RedOrange\",\"#F26035\"],[\"RedViolet\",\"#A1246B\"],[\"Rhodamine\",\"#EF559F\"],[\"RoyalBlue\",\"#0071BC\"],[\"RoyalPurple\",\"#613F99\"],[\"RubineRed\",\"#ED017D\"],[\"Salmon\",\"#F69289\"],[\"SeaGreen\",\"#3FBC9D\"],[\"Sepia\",\"#671800\"],[\"SkyBlue\",\"#46C5DD\"],[\"SpringGreen\",\"#C6DC67\"],[\"Tan\",\"#DA9D76\"],[\"TealBlue\",\"#00AEB3\"],[\"Thistle\",\"#D883B7\"],[\"Turquoise\",\"#00B4CE\"],[\"Violet\",\"#58429B\"],[\"VioletRed\",\"#EF58A0\"],[\"White\",\"#FFFFFF\"],[\"WildStrawberry\",\"#EE2967\"],[\"Yellow\",\"#FFF200\"],[\"YellowGreen\",\"#98CC70\"],[\"YellowOrange\",\"#FAA21A\"]])},\n",
-       "      760: function _(o,r,e,a,c){a();var l=o(550),n=o(547);e.ColorV2Methods={Color:function(o,r){var e=o.GetArgument(r),a=o.stack.env.color;o.stack.env.color=e;var c=o.ParseArg(r);a?o.stack.env.color=a:delete o.stack.env.color;var l=o.create(\"node\",\"mstyle\",[c],{mathcolor:e});o.Push(l)}},new l.CommandMap(\"colorv2\",{color:\"Color\"},e.ColorV2Methods),e.ColorConfiguration=n.Configuration.create(\"colorv2\",{handler:{macro:[\"colorv2\"]}})},\n",
-       "      761: function _(o,t,r,e,n){var l,c=this&&this.__extends||(l=function(o,t){return l=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(o,t){o.__proto__=t}||function(o,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(o[r]=t[r])},l(o,t)},function(o,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=o}l(o,t),o.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});e();var a=o(552),i=o(547),s=o(550),u=o(537),p=function(o){function t(){var t=null!==o&&o.apply(this,arguments)||this;return t.color={cell:\"\",row:\"\",col:[]},t.hasColor=!1,t}return c(t,o),t.prototype.EndEntry=function(){o.prototype.EndEntry.call(this);var t=this.row[this.row.length-1],r=this.color.cell||this.color.row||this.color.col[this.row.length-1];r&&(t.attributes.set(\"mathbackground\",r),this.color.cell=\"\",this.hasColor=!0)},t.prototype.EndRow=function(){o.prototype.EndRow.call(this),this.color.row=\"\"},t.prototype.createMml=function(){var t=o.prototype.createMml.call(this),r=t.isKind(\"mrow\")?t.childNodes[1]:t;return r.isKind(\"menclose\")&&(r=r.childNodes[0].childNodes[0]),this.hasColor&&\"none\"===r.attributes.get(\"frame\")&&r.attributes.set(\"frame\",\"\"),t},t}(a.ArrayItem);r.ColorArrayItem=p,new s.CommandMap(\"colortbl\",{cellcolor:[\"TableColor\",\"cell\"],rowcolor:[\"TableColor\",\"row\"],columncolor:[\"TableColor\",\"col\"]},{TableColor:function(o,t,r){var e=o.configuration.packageData.get(\"color\").model,n=o.GetBrackets(t,\"\"),l=e.getColor(n,o.GetArgument(t)),c=o.stack.Top();if(!(c instanceof p))throw new u.default(\"UnsupportedTableColor\",\"Unsupported use of %1\",o.currentCS);if(\"col\"===r){if(c.table.length)throw new u.default(\"ColumnColorNotTop\",\"%1 must be in the top row\",t);c.color.col[c.row.length]=l,o.GetBrackets(t,\"\")&&o.GetBrackets(t,\"\")}else if(c.color[r]=l,\"row\"===r&&(c.Size()||c.row.length))throw new u.default(\"RowColorNotFirst\",\"%1 must be at the beginning of a row\",t)}});r.ColortblConfiguration=i.Configuration.create(\"colortbl\",{handler:{macro:[\"colortbl\"]},items:{array:p},priority:10,config:[function(o,t){t.parseOptions.packageData.has(\"color\")||i.ConfigurationHandler.get(\"color\").config(o,t)},10]})},\n",
-       "      762: function _(n,e,r,o,t){var a,i=this&&this.__values||function(n){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&n[e],o=0;if(r)return r.call(n);if(n&&\"number\"==typeof n.length)return{next:function(){return n&&o>=n.length&&(n=void 0),{value:n&&n[o++],done:!n}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var c=n(547),l=n(522),f=n(550),s=n(557),p=n(551),u=n(763),v=n(765),d=\"configmacros-map\",m=\"configmacros-env-map\";r.ConfigMacrosConfiguration=c.Configuration.create(\"configmacros\",{init:function(n){new f.CommandMap(d,{},{}),new f.EnvironmentMap(m,s.default.environment,{},{}),n.append(c.Configuration.local({handler:{macro:[d],environment:[m]},priority:3}))},config:function(n,e){!function(n){var e,r,o=n.parseOptions.handlers.retrieve(d),t=n.parseOptions.options.macros;try{for(var a=i(Object.keys(t)),c=a.next();!c.done;c=a.next()){var l=c.value,f=\"string\"==typeof t[l]?[t[l]]:t[l],s=Array.isArray(f[2])?new p.Macro(l,u.default.MacroWithTemplate,f.slice(0,2).concat(f[2])):new p.Macro(l,u.default.Macro,f);o.add(l,s)}}catch(n){e={error:n}}finally{try{c&&!c.done&&(r=a.return)&&r.call(a)}finally{if(e)throw e.error}}}(e),function(n){var e,r,o=n.parseOptions.handlers.retrieve(m),t=n.parseOptions.options.environments;try{for(var a=i(Object.keys(t)),c=a.next();!c.done;c=a.next()){var l=c.value;o.add(l,new p.Macro(l,u.default.BeginEnv,[!0].concat(t[l])))}}catch(n){e={error:n}}finally{try{c&&!c.done&&(r=a.return)&&r.call(a)}finally{if(e)throw e.error}}}(e)},items:(a={},a[v.BeginEnvItem.prototype.kind]=v.BeginEnvItem,a),options:{macros:l.expandable({}),environments:l.expandable({})}})},\n",
-       "      763: function _(e,t,a,r,n){r();var i=e(537),u=e(550),d=e(555),l=e(536),o=e(764),f={NewCommand:function(e,t){var a=o.default.GetCsNameArgument(e,t),r=o.default.GetArgCount(e,t),n=e.GetBrackets(t),i=e.GetArgument(t);o.default.addMacro(e,a,f.Macro,[i,r,n])},NewEnvironment:function(e,t){var a=l.default.trimSpaces(e.GetArgument(t)),r=o.default.GetArgCount(e,t),n=e.GetBrackets(t),i=e.GetArgument(t),u=e.GetArgument(t);o.default.addEnvironment(e,a,f.BeginEnv,[!0,i,u,r,n])},MacroDef:function(e,t){var a=o.default.GetCSname(e,t),r=o.default.GetTemplate(e,t,\"\\\\\"+a),n=e.GetArgument(t);r instanceof Array?o.default.addMacro(e,a,f.MacroWithTemplate,[n].concat(r)):o.default.addMacro(e,a,f.Macro,[n,r])},Let:function(e,t){var a=o.default.GetCSname(e,t),r=e.GetNext();\"=\"===r&&(e.i++,r=e.GetNext());var n=e.configuration.handlers;if(\"\\\\\"!==r){e.i++;var i=n.get(\"delimiter\").lookup(r);i?o.default.addDelimiter(e,\"\\\\\"+a,i.char,i.attributes):o.default.addMacro(e,a,f.Macro,[r])}else{t=o.default.GetCSname(e,t);var d=n.get(\"delimiter\").lookup(\"\\\\\"+t);if(d)return void o.default.addDelimiter(e,\"\\\\\"+a,d.char,d.attributes);var l=n.get(\"macro\").applicable(t);if(!l)return;if(l instanceof u.MacroMap){var s=l.lookup(t);return void o.default.addMacro(e,a,s.func,s.args,s.symbol)}d=l.lookup(t);var c=o.default.disassembleSymbol(a,d);o.default.addMacro(e,a,(function(e,t){for(var a=[],r=2;r<arguments.length;r++)a[r-2]=arguments[r];var n=o.default.assembleSymbol(a);return l.parser(e,n)}),c)}},MacroWithTemplate:function(e,t,a,r){for(var n=[],u=4;u<arguments.length;u++)n[u-4]=arguments[u];var d=parseInt(r,10);if(d){var f=[];if(e.GetNext(),n[0]&&!o.default.MatchParam(e,n[0]))throw new i.default(\"MismatchUseDef\",\"Use of %1 doesn't match its definition\",t);for(var s=0;s<d;s++)f.push(o.default.GetParameter(e,t,n[s+1]));a=l.default.substituteArgs(e,f,a)}e.string=l.default.addArgs(e,a,e.string.slice(e.i)),e.i=0,l.default.checkMaxMacros(e)},BeginEnv:function(e,t,a,r,n,i){if(t.getProperty(\"end\")&&e.stack.env.closing===t.getName()){delete e.stack.env.closing;var u=e.string.slice(e.i);return e.string=r,e.i=0,e.Parse(),e.string=u,e.i=0,e.itemFactory.create(\"end\").setProperty(\"name\",t.getName())}if(n){var d=[];if(null!=i){var o=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\");d.push(null==o?i:o)}for(var f=d.length;f<n;f++)d.push(e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\"));a=l.default.substituteArgs(e,d,a),r=l.default.substituteArgs(e,[],r)}return e.string=l.default.addArgs(e,a,e.string.slice(e.i)),e.i=0,e.itemFactory.create(\"beginEnv\").setProperty(\"name\",t.getName())}};f.Macro=d.default.Macro,a.default=f},\n",
-       "      764: function _(e,t,n,r,i){r();var a,u=e(536),s=e(537),l=e(551);!function(e){function t(e,t){return e.string.substr(e.i,t.length)!==t||t.match(/\\\\[a-z]+$/i)&&e.string.charAt(e.i+t.length).match(/[a-z]/i)?0:(e.i+=t.length,1)}e.disassembleSymbol=function(e,t){var n=[e,t.char];if(t.attributes)for(var r in t.attributes)n.push(r),n.push(t.attributes[r]);return n},e.assembleSymbol=function(e){for(var t=e[0],n=e[1],r={},i=2;i<e.length;i+=2)r[e[i]]=e[i+1];return new l.Symbol(t,n,r)},e.GetCSname=function(e,t){if(\"\\\\\"!==e.GetNext())throw new s.default(\"MissingCS\",\"%1 must be followed by a control sequence\",t);return u.default.trimSpaces(e.GetArgument(t)).substr(1)},e.GetCsNameArgument=function(e,t){var n=u.default.trimSpaces(e.GetArgument(t));if(\"\\\\\"===n.charAt(0)&&(n=n.substr(1)),!n.match(/^(.|[a-z]+)$/i))throw new s.default(\"IllegalControlSequenceName\",\"Illegal control sequence name for %1\",t);return n},e.GetArgCount=function(e,t){var n=e.GetBrackets(t);if(n&&!(n=u.default.trimSpaces(n)).match(/^[0-9]+$/))throw new s.default(\"IllegalParamNumber\",\"Illegal number of parameters specified in %1\",t);return n},e.GetTemplate=function(e,t,n){for(var r=e.GetNext(),i=[],a=0,u=e.i;e.i<e.string.length;){if(\"#\"===(r=e.GetNext())){if(u!==e.i&&(i[a]=e.string.substr(u,e.i-u)),!(r=e.string.charAt(++e.i)).match(/^[1-9]$/))throw new s.default(\"CantUseHash2\",\"Illegal use of # in template for %1\",n);if(parseInt(r)!==++a)throw new s.default(\"SequentialParam\",\"Parameters for %1 must be numbered sequentially\",n);u=e.i+1}else if(\"{\"===r)return u!==e.i&&(i[a]=e.string.substr(u,e.i-u)),i.length>0?[a.toString()].concat(i):a;e.i++}throw new s.default(\"MissingReplacementString\",\"Missing replacement string for definition of %1\",t)},e.GetParameter=function(e,n,r){if(null==r)return e.GetArgument(n);for(var i=e.i,a=0,u=0;e.i<e.string.length;){var l=e.string.charAt(e.i);if(\"{\"===l)e.i===i&&(u=1),e.GetArgument(n),a=e.i-i;else{if(t(e,r))return u&&(i++,a-=2),e.string.substr(i,a);if(\"\\\\\"===l){e.i++,a++,u=0;var o=e.string.substr(e.i).match(/[a-z]+|./i);o&&(e.i+=o[0].length,a=e.i-i)}else e.i++,a++,u=0}}throw new s.default(\"RunawayArgument\",\"Runaway argument for %1?\",n)},e.MatchParam=t,e.addDelimiter=function(t,n,r,i){t.configuration.handlers.retrieve(e.NEW_DELIMITER).add(n,new l.Symbol(n,r,i))},e.addMacro=function(t,n,r,i,a){void 0===a&&(a=\"\"),t.configuration.handlers.retrieve(e.NEW_COMMAND).add(n,new l.Macro(a||n,r,i))},e.addEnvironment=function(t,n,r,i){t.configuration.handlers.retrieve(e.NEW_ENVIRONMENT).add(n,new l.Macro(n,r,i))},e.NEW_DELIMITER=\"new-Delimiter\",e.NEW_COMMAND=\"new-Command\",e.NEW_ENVIRONMENT=\"new-Environment\"}(a||(a={})),n.default=a},\n",
-       "      765: function _(t,e,n,r,o){var i,c=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)});r();var u=t(537),s=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return c(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"beginEnv\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"end\")){if(e.getName()!==this.getName())throw new u.default(\"EnvBadEnd\",\"\\\\begin{%1} ended with \\\\end{%2}\",this.getName(),e.getName());return[[this.factory.create(\"mml\",this.toMml())],!0]}if(e.isKind(\"stop\"))throw new u.default(\"EnvMissingEnd\",\"Missing \\\\end{%1}\",this.getName());return t.prototype.checkItem.call(this,e)},e}(t(543).BaseItem);n.BeginEnvItem=s},\n",
-       "      766: function _(e,t,r,p,m){var n,h,i=this&&this.__extends||(n=function(e,t){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},n(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}n(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var p,m,n=r.call(e),h=[];try{for(;(void 0===t||t-- >0)&&!(p=n.next()).done;)h.push(p.value)}catch(e){m={error:e}}finally{try{p&&!p.done&&(r=n.return)&&r.call(n)}finally{if(m)throw m.error}}return h};p();var q=e(547),l=e(550),a=e(536),c=e(537),s=e(552),E=e(754),g=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"empheq-begin\"},enumerable:!1,configurable:!0}),t.prototype.checkItem=function(t){return t.isKind(\"end\")&&t.getName()===this.getName()&&this.setProperty(\"end\",!1),e.prototype.checkItem.call(this,t)},t}(s.BeginItem);r.EmpheqBeginItem=g,r.EmpheqMethods={Empheq:function(e,t){if(e.stack.env.closing===t.getName()){delete e.stack.env.closing,e.Push(e.itemFactory.create(\"end\").setProperty(\"name\",e.stack.global.empheq)),e.stack.global.empheq=\"\";var r=e.stack.Top();E.EmpheqUtil.adjustTable(r,e),e.Push(e.itemFactory.create(\"end\").setProperty(\"name\",\"empheq\"))}else{a.default.checkEqnEnv(e),delete e.stack.global.eqnenv;var p=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\")||\"\",m=o((e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\")||\"\").split(/=/),2),n=m[0],h=m[1];if(!E.EmpheqUtil.checkEnv(n))throw new c.default(\"UnknownEnv\",'Unknown environment \"%1\"',n);p&&t.setProperties(E.EmpheqUtil.splitOptions(p,{left:1,right:1})),e.stack.global.empheq=n,e.string=\"\\\\begin{\"+n+\"}\"+(h?\"{\"+h+\"}\":\"\")+e.string.slice(e.i),e.i=0,e.Push(t)}},EmpheqMO:function(e,t,r){e.Push(e.create(\"token\",\"mo\",{},r))},EmpheqDelim:function(e,t){var r=e.GetDelimiter(t);e.Push(e.create(\"token\",\"mo\",{stretchy:!0,symmetric:!0},r))}},new l.EnvironmentMap(\"empheq-env\",E.EmpheqUtil.environment,{empheq:[\"Empheq\",\"empheq\"]},r.EmpheqMethods),new l.CommandMap(\"empheq-macros\",{empheqlbrace:[\"EmpheqMO\",\"{\"],empheqrbrace:[\"EmpheqMO\",\"}\"],empheqlbrack:[\"EmpheqMO\",\"[\"],empheqrbrack:[\"EmpheqMO\",\"]\"],empheqlangle:[\"EmpheqMO\",\"\\u27e8\"],empheqrangle:[\"EmpheqMO\",\"\\u27e9\"],empheqlparen:[\"EmpheqMO\",\"(\"],empheqrparen:[\"EmpheqMO\",\")\"],empheqlvert:[\"EmpheqMO\",\"|\"],empheqrvert:[\"EmpheqMO\",\"|\"],empheqlVert:[\"EmpheqMO\",\"\\u2016\"],empheqrVert:[\"EmpheqMO\",\"\\u2016\"],empheqlfloor:[\"EmpheqMO\",\"\\u230a\"],empheqrfloor:[\"EmpheqMO\",\"\\u230b\"],empheqlceil:[\"EmpheqMO\",\"\\u2308\"],empheqrceil:[\"EmpheqMO\",\"\\u2309\"],empheqbiglbrace:[\"EmpheqMO\",\"{\"],empheqbigrbrace:[\"EmpheqMO\",\"}\"],empheqbiglbrack:[\"EmpheqMO\",\"[\"],empheqbigrbrack:[\"EmpheqMO\",\"]\"],empheqbiglangle:[\"EmpheqMO\",\"\\u27e8\"],empheqbigrangle:[\"EmpheqMO\",\"\\u27e9\"],empheqbiglparen:[\"EmpheqMO\",\"(\"],empheqbigrparen:[\"EmpheqMO\",\")\"],empheqbiglvert:[\"EmpheqMO\",\"|\"],empheqbigrvert:[\"EmpheqMO\",\"|\"],empheqbiglVert:[\"EmpheqMO\",\"\\u2016\"],empheqbigrVert:[\"EmpheqMO\",\"\\u2016\"],empheqbiglfloor:[\"EmpheqMO\",\"\\u230a\"],empheqbigrfloor:[\"EmpheqMO\",\"\\u230b\"],empheqbiglceil:[\"EmpheqMO\",\"\\u2308\"],empheqbigrceil:[\"EmpheqMO\",\"\\u2309\"],empheql:\"EmpheqDelim\",empheqr:\"EmpheqDelim\",empheqbigl:\"EmpheqDelim\",empheqbigr:\"EmpheqDelim\"},r.EmpheqMethods),r.EmpheqConfiguration=q.Configuration.create(\"empheq\",{handler:{macro:[\"empheq-macros\"],environment:[\"empheq-env\"]},items:(h={},h[g.prototype.kind]=g,h)})},\n",
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-       "      768: function _(e,n,a,t,i){var o;t();var r=e(547),m=e(765),E=e(764);e(769);var d=e(557),N=e(550);a.NewcommandConfiguration=r.Configuration.create(\"newcommand\",{handler:{macro:[\"Newcommand-macros\"]},items:(o={},o[m.BeginEnvItem.prototype.kind]=m.BeginEnvItem,o),options:{maxMacros:1e3},init:function(e){new N.DelimiterMap(E.default.NEW_DELIMITER,d.default.delimiter,{}),new N.CommandMap(E.default.NEW_COMMAND,{},{}),new N.EnvironmentMap(E.default.NEW_ENVIRONMENT,d.default.environment,{},{}),e.append(r.Configuration.local({handler:{character:[],delimiter:[E.default.NEW_DELIMITER],macro:[E.default.NEW_DELIMITER,E.default.NEW_COMMAND],environment:[E.default.NEW_ENVIRONMENT]},priority:-1}))}})},\n",
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Please report.\"]}return e},_getArrow:function(t){switch(t){case\"->\":case\"\\u2192\":case\"\\u27f6\":return\"rightarrow\";case\"<-\":return\"leftarrow\";case\"<->\":return\"leftrightarrow\";case\"<--\\x3e\":return\"leftrightarrows\";case\"<=>\":case\"\\u21cc\":return\"rightleftharpoons\";case\"<=>>\":return\"Rightleftharpoons\";case\"<<=>\":return\"Leftrightharpoons\";default:throw[\"MhchemBugT\",\"mhchem bug T. Please report.\"]}},_getBond:function(t){switch(t){case\"-\":case\"1\":return\"{-}\";case\"=\":case\"2\":return\"{=}\";case\"#\":case\"3\":return\"{\\\\equiv}\";case\"~\":return\"{\\\\tripledash}\";case\"~-\":return\"{\\\\rlap{\\\\lower.1em{-}}\\\\raise.1em{\\\\tripledash}}\";case\"~=\":case\"~--\":return\"{\\\\rlap{\\\\lower.2em{-}}\\\\rlap{\\\\raise.2em{\\\\tripledash}}-}\";case\"-~-\":return\"{\\\\rlap{\\\\lower.2em{-}}\\\\rlap{\\\\raise.2em{-}}\\\\tripledash}\";case\"...\":return\"{{\\\\cdot}{\\\\cdot}{\\\\cdot}}\";case\"....\":return\"{{\\\\cdot}{\\\\cdot}{\\\\cdot}{\\\\cdot}}\";case\"->\":return\"{\\\\rightarrow}\";case\"<-\":return\"{\\\\leftarrow}\";case\"<\":return\"{<}\";case\">\":return\"{>}\";default:throw[\"MhchemBugT\",\"mhchem bug T. Please report.\"]}},_getOperator:function(t){switch(t){case\"+\":return\" {}+{} \";case\"-\":return\" {}-{} \";case\"=\":return\" {}={} \";case\"<\":return\" {}<{} \";case\">\":return\" {}>{} \";case\"<<\":return\" {}\\\\ll{} \";case\">>\":return\" {}\\\\gg{} \";case\"\\\\pm\":return\" {}\\\\pm{} \";case\"\\\\approx\":case\"$\\\\approx$\":return\" {}\\\\approx{} \";case\"v\":case\"(v)\":return\" \\\\downarrow{} \";case\"^\":case\"(^)\":return\" \\\\uparrow{} \";default:throw[\"MhchemBugT\",\"mhchem bug T. Please report.\"]}}}},\n",
-       "      781: function _(r,e,o,n,t){n();var a=r(547);o.NoErrorsConfiguration=a.Configuration.create(\"noerrors\",{nodes:{error:function(r,e,o,n){var t=r.create(\"token\",\"mtext\",{},n.replace(/\\n/g,\" \"));return r.create(\"node\",\"merror\",[t],{\"data-mjx-error\":e,title:e})}}})},\n",
-       "      782: function _(e,n,r,o,t){var i=this&&this.__values||function(e){var n=\"function\"==typeof Symbol&&Symbol.iterator,r=n&&e[n],o=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&o>=e.length&&(e=void 0),{value:e&&e[o++],done:!e}}};throw new TypeError(n?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var a=e(547);r.NoUndefinedConfiguration=a.Configuration.create(\"noundefined\",{fallback:{macro:function(e,n){var r,o,t=e.create(\"text\",\"\\\\\"+n),a=e.options.noundefined||{},f={};try{for(var l=i([\"color\",\"background\",\"size\"]),u=l.next();!u.done;u=l.next()){var c=u.value;a[c]&&(f[\"math\"+c]=a[c])}}catch(e){r={error:e}}finally{try{u&&!u.done&&(o=l.return)&&o.call(l)}finally{if(r)throw r.error}}e.Push(e.create(\"node\",\"mtext\",[],f,t))}},options:{noundefined:{color:\"red\",background:\"\",size:\"\"}},priority:3})},\n",
-       "      783: function _(s,c,i,r,a){var o;r();var t=s(547),e=s(784);s(785),i.PhysicsConfiguration=t.Configuration.create(\"physics\",{handler:{macro:[\"Physics-automatic-bracing-macros\",\"Physics-vector-macros\",\"Physics-vector-chars\",\"Physics-derivative-macros\",\"Physics-expressions-macros\",\"Physics-quick-quad-macros\",\"Physics-bra-ket-macros\",\"Physics-matrix-macros\"],character:[\"Physics-characters\"],environment:[\"Physics-aux-envs\"]},items:(o={},o[e.AutoOpen.prototype.kind]=e.AutoOpen,o),options:{physics:{italicdiff:!1,arrowdel:!1}}})},\n",
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-       "      785: function _(a,t,e,r,n){r();var i=a(550),o=a(786),s=a(554),c=a(557),m=a(529);new i.CommandMap(\"Physics-automatic-bracing-macros\",{quantity:\"Quantity\",qty:\"Quantity\",pqty:[\"Quantity\",\"(\",\")\",!0],bqty:[\"Quantity\",\"[\",\"]\",!0],vqty:[\"Quantity\",\"|\",\"|\",!0],Bqty:[\"Quantity\",\"\\\\{\",\"\\\\}\",!0],absolutevalue:[\"Quantity\",\"|\",\"|\",!0],abs:[\"Quantity\",\"|\",\"|\",!0],norm:[\"Quantity\",\"\\\\|\",\"\\\\|\",!0],evaluated:\"Eval\",eval:\"Eval\",order:[\"Quantity\",\"(\",\")\",!0,\"O\",s.TexConstant.Variant.CALLIGRAPHIC],commutator:\"Commutator\",comm:\"Commutator\",anticommutator:[\"Commutator\",\"\\\\{\",\"\\\\}\"],acomm:[\"Commutator\",\"\\\\{\",\"\\\\}\"],poissonbracket:[\"Commutator\",\"\\\\{\",\"\\\\}\"],pb:[\"Commutator\",\"\\\\{\",\"\\\\}\"]},o.default),new i.CharacterMap(\"Physics-vector-chars\",c.default.mathchar0mi,{dotproduct:[\"\\u22c5\",{mathvariant:s.TexConstant.Variant.BOLD}],vdot:[\"\\u22c5\",{mathvariant:s.TexConstant.Variant.BOLD}],crossproduct:\"\\xd7\",cross:\"\\xd7\",cp:\"\\xd7\",gradientnabla:[\"\\u2207\",{mathvariant:s.TexConstant.Variant.BOLD}],real:[\"\\u211c\",{mathvariant:s.TexConstant.Variant.NORMAL}],imaginary:[\"\\u2111\",{mathvariant:s.TexConstant.Variant.NORMAL}]}),new i.CommandMap(\"Physics-vector-macros\",{vnabla:\"Vnabla\",vectorbold:\"VectorBold\",vb:\"VectorBold\",vectorarrow:[\"StarMacro\",1,\"\\\\vec{\\\\vb\",\"{#1}}\"],va:[\"StarMacro\",1,\"\\\\vec{\\\\vb\",\"{#1}}\"],vectorunit:[\"StarMacro\",1,\"\\\\hat{\\\\vb\",\"{#1}}\"],vu:[\"StarMacro\",1,\"\\\\hat{\\\\vb\",\"{#1}}\"],gradient:[\"OperatorApplication\",\"\\\\vnabla\",\"(\",\"[\"],grad:[\"OperatorApplication\",\"\\\\vnabla\",\"(\",\"[\"],divergence:[\"VectorOperator\",\"\\\\vnabla\\\\vdot\",\"(\",\"[\"],div:[\"VectorOperator\",\"\\\\vnabla\\\\vdot\",\"(\",\"[\"],curl:[\"VectorOperator\",\"\\\\vnabla\\\\crossproduct\",\"(\",\"[\"],laplacian:[\"OperatorApplication\",\"\\\\nabla^2\",\"(\",\"[\"]},o.default),new i.CommandMap(\"Physics-expressions-macros\",{sin:\"Expression\",sinh:\"Expression\",arcsin:\"Expression\",asin:\"Expression\",cos:\"Expression\",cosh:\"Expression\",arccos:\"Expression\",acos:\"Expression\",tan:\"Expression\",tanh:\"Expression\",arctan:\"Expression\",atan:\"Expression\",csc:\"Expression\",csch:\"Expression\",arccsc:\"Expression\",acsc:\"Expression\",sec:\"Expression\",sech:\"Expression\",arcsec:\"Expression\",asec:\"Expression\",cot:\"Expression\",coth:\"Expression\",arccot:\"Expression\",acot:\"Expression\",exp:[\"Expression\",!1],log:\"Expression\",ln:\"Expression\",det:[\"Expression\",!1],Pr:[\"Expression\",!1],tr:[\"Expression\",!1],trace:[\"Expression\",!1,\"tr\"],Tr:[\"Expression\",!1],Trace:[\"Expression\",!1,\"Tr\"],rank:\"NamedFn\",erf:[\"Expression\",!1],Residue:[\"Macro\",\"\\\\mathrm{Res}\"],Res:[\"OperatorApplication\",\"\\\\Residue\",\"(\",\"[\",\"{\"],principalvalue:[\"OperatorApplication\",\"{\\\\cal P}\"],pv:[\"OperatorApplication\",\"{\\\\cal 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i.CommandMap(\"Physics-quick-quad-macros\",{qqtext:\"Qqtext\",qq:\"Qqtext\",qcomma:[\"Macro\",\"\\\\qqtext*{,}\"],qc:[\"Macro\",\"\\\\qqtext*{,}\"],qcc:[\"Qqtext\",\"c.c.\"],qif:[\"Qqtext\",\"if\"],qthen:[\"Qqtext\",\"then\"],qelse:[\"Qqtext\",\"else\"],qotherwise:[\"Qqtext\",\"otherwise\"],qunless:[\"Qqtext\",\"unless\"],qgiven:[\"Qqtext\",\"given\"],qusing:[\"Qqtext\",\"using\"],qassume:[\"Qqtext\",\"assume\"],qsince:[\"Qqtext\",\"since\"],qlet:[\"Qqtext\",\"let\"],qfor:[\"Qqtext\",\"for\"],qall:[\"Qqtext\",\"all\"],qeven:[\"Qqtext\",\"even\"],qodd:[\"Qqtext\",\"odd\"],qinteger:[\"Qqtext\",\"integer\"],qand:[\"Qqtext\",\"and\"],qor:[\"Qqtext\",\"or\"],qas:[\"Qqtext\",\"as\"],qin:[\"Qqtext\",\"in\"]},o.default),new 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i.CommandMap(\"Physics-bra-ket-macros\",{bra:\"Bra\",ket:\"Ket\",innerproduct:\"BraKet\",ip:\"BraKet\",braket:\"BraKet\",outerproduct:\"KetBra\",dyad:\"KetBra\",ketbra:\"KetBra\",op:\"KetBra\",expectationvalue:\"Expectation\",expval:\"Expectation\",ev:\"Expectation\",matrixelement:\"MatrixElement\",matrixel:\"MatrixElement\",mel:\"MatrixElement\"},o.default),new i.CommandMap(\"Physics-matrix-macros\",{matrixquantity:\"MatrixQuantity\",mqty:\"MatrixQuantity\",pmqty:[\"Macro\",\"\\\\mqty(#1)\",1],Pmqty:[\"Macro\",\"\\\\mqty*(#1)\",1],bmqty:[\"Macro\",\"\\\\mqty[#1]\",1],vmqty:[\"Macro\",\"\\\\mqty|#1|\",1],smallmatrixquantity:[\"MatrixQuantity\",!0],smqty:[\"MatrixQuantity\",!0],spmqty:[\"Macro\",\"\\\\smqty(#1)\",1],sPmqty:[\"Macro\",\"\\\\smqty*(#1)\",1],sbmqty:[\"Macro\",\"\\\\smqty[#1]\",1],svmqty:[\"Macro\",\"\\\\smqty|#1|\",1],matrixdeterminant:[\"Macro\",\"\\\\vmqty{#1}\",1],mdet:[\"Macro\",\"\\\\vmqty{#1}\",1],smdet:[\"Macro\",\"\\\\svmqty{#1}\",1],identitymatrix:\"IdentityMatrix\",imat:\"IdentityMatrix\",xmatrix:\"XMatrix\",xmat:\"XMatrix\",zeromatrix:[\"Macro\",\"\\\\xmat{0}{#1}{#2}\",2],zmat:[\"Macro\",\"\\\\xmat{0}{#1}{#2}\",2],paulimatrix:\"PauliMatrix\",pmat:\"PauliMatrix\",diagonalmatrix:\"DiagonalMatrix\",dmat:\"DiagonalMatrix\",antidiagonalmatrix:[\"DiagonalMatrix\",!0],admat:[\"DiagonalMatrix\",!0]},o.default),new 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-       "      786: function _(t,e,r,n,a){var i=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,a,i=r.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)o.push(n.value)}catch(t){a={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(a)throw a.error}}return o};n();var o=t(555),l=t(535),u=t(537),s=t(529),c=t(536),f=t(532),g=t(545),v={},m={\"(\":\")\",\"[\":\"]\",\"{\":\"}\",\"|\":\"|\"},d=/^(b|B)i(g{1,2})$/;v.Quantity=function(t,e,r,n,a,i,o){void 0===r&&(r=\"(\"),void 0===n&&(n=\")\"),void 0===a&&(a=!1),void 0===i&&(i=\"\"),void 0===o&&(o=\"\");var g=!!a&&t.GetStar(),v=t.GetNext(),h=t.i,G=null;if(\"\\\\\"===v){if(t.i++,!(G=t.GetCS()).match(d)){var p=t.create(\"node\",\"mrow\");return t.Push(c.default.fenced(t.configuration,r,p,n)),void(t.i=h)}v=t.GetNext()}var A=m[v];if(a&&\"{\"!==v)throw new u.default(\"MissingArgFor\",\"Missing argument for 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1===n.length&&!a.stack.env.font&&a.stack.env.vectorFont&&(P(o,h)||P(o,G)||P(o,p)||P(o,k)||P(o,A)&&a.stack.env.vectorStar||f.default.getAttribute(i,\"accent\"))&&f.default.setAttribute(i,\"mathvariant\",a.stack.env.vectorFont),i}v.VectorBold=function(t,e){var r=t.GetStar(),n=t.GetArgument(e),a=t.configuration.nodeFactory.get(\"token\"),i=t.stack.env.font;delete t.stack.env.font,t.configuration.nodeFactory.set(\"token\",S),t.stack.env.vectorFont=r?\"bold-italic\":\"bold\",t.stack.env.vectorStar=r;var o=new l.default(n,t.stack.env,t.configuration).mml();i&&(t.stack.env.font=i),delete t.stack.env.vectorFont,delete t.stack.env.vectorStar,t.configuration.nodeFactory.set(\"token\",a),t.Push(o)},v.StarMacro=function(t,e,r){for(var n=[],a=3;a<arguments.length;a++)n[a-3]=arguments[a];var i=t.GetStar(),o=[];if(r)for(var l=o.length;l<r;l++)o.push(t.GetArgument(e));var u=n.join(i?\"*\":\"\");u=c.default.substituteArgs(t,o,u),t.string=c.default.addArgs(t,u,t.string.slice(t.i)),t.i=0,c.default.checkMaxMacros(t)};var y=function(t,e,r,n,a){var i=new l.default(n,t.stack.env,t.configuration).mml();t.Push(t.itemFactory.create(e,i));var o=t.GetNext(),u=m[o];if(u){var s=-1!==a.indexOf(o);if(\"{\"===o){var c=(s?\"\\\\left\\\\{\":\"\")+\" \"+t.GetArgument(r)+\" \"+(s?\"\\\\right\\\\}\":\"\");return t.string=c+t.string.slice(t.i),void(t.i=0)}s&&(t.i++,t.Push(t.itemFactory.create(\"auto open\").setProperties({open:o,close:u})))}};function w(t,e,r){var n=i(t,3),a=n[0],o=n[1],l=n[2];return e&&r?\"\\\\left\\\\langle{\"+a+\"}\\\\middle\\\\vert{\"+o+\"}\\\\middle\\\\vert{\"+l+\"}\\\\right\\\\rangle\":e?\"\\\\langle{\"+a+\"}\\\\vert{\"+o+\"}\\\\vert{\"+l+\"}\\\\rangle\":\"\\\\left\\\\langle{\"+a+\"}\\\\right\\\\vert{\"+o+\"}\\\\left\\\\vert{\"+l+\"}\\\\right\\\\rangle\"}v.OperatorApplication=function(t,e,r){for(var n=[],a=3;a<arguments.length;a++)n[a-3]=arguments[a];y(t,\"fn\",e,r,n)},v.VectorOperator=function(t,e,r){for(var n=[],a=3;a<arguments.length;a++)n[a-3]=arguments[a];y(t,\"mml\",e,r,n)},v.Expression=function(t,e,r,n){void 0===r&&(r=!0),void 0===n&&(n=\"\"),n=n||e.slice(1);var a=r?t.GetBrackets(e):null,i=t.create(\"token\",\"mi\",{texClass:s.TEXCLASS.OP},n);if(a){var o=new l.default(a,t.stack.env,t.configuration).mml();i=t.create(\"node\",\"msup\",[i,o])}t.Push(t.itemFactory.create(\"fn\",i)),\"(\"===t.GetNext()&&(t.i++,t.Push(t.itemFactory.create(\"auto open\").setProperties({open:\"(\",close:\")\"})))},v.Qqtext=function(t,e,r){var n=(t.GetStar()?\"\":\"\\\\quad\")+\"\\\\text{\"+(r||t.GetArgument(e))+\"}\\\\quad \";t.string=t.string.slice(0,t.i)+n+t.string.slice(t.i)},v.Differential=function(t,e,r){var n=t.GetBrackets(e),a=null!=n?\"^{\"+n+\"}\":\" \",i=\"(\"===t.GetNext(),o=\"{\"===t.GetNext(),u=r+a;if(i||o)if(o){u+=t.GetArgument(e);c=new l.default(u,t.stack.env,t.configuration).mml();t.Push(t.create(\"node\",\"TeXAtom\",[c],{texClass:s.TEXCLASS.OP}))}else t.Push(new l.default(u,t.stack.env,t.configuration).mml()),t.i++,t.Push(t.itemFactory.create(\"auto open\").setProperties({open:\"(\",close:\")\"}));else{u+=t.GetArgument(e,!0)||\"\";var c=new l.default(u,t.stack.env,t.configuration).mml();t.Push(c)}},v.Derivative=function(t,e,r,n){var a=t.GetStar(),i=t.GetBrackets(e),o=1,u=[];for(u.push(t.GetArgument(e));\"{\"===t.GetNext()&&o<r;)u.push(t.GetArgument(e)),o++;var s=!1,c=\" \",f=\" \";r>2&&u.length>2?(c=\"^{\"+(u.length-1)+\"}\",s=!0):null!=i&&(r>2&&u.length>1&&(s=!0),f=c=\"^{\"+i+\"}\");for(var g=a?\"\\\\flatfrac\":\"\\\\frac\",v=u.length>1?u[0]:\"\",m=u.length>1?u[1]:u[0],d=\"\",h=2,G=void 0;G=u[h];h++)d+=n+\" \"+G;var p=g+\"{\"+n+c+v+\"}{\"+n+\" \"+m+f+\" \"+d+\"}\";t.Push(new l.default(p,t.stack.env,t.configuration).mml()),\"(\"===t.GetNext()&&(t.i++,t.Push(t.itemFactory.create(\"auto 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i=\"\";i=null==a?r?\"\\\\langle{\"+n+\"}\\\\vert{\"+n+\"}\\\\rangle\":\"\\\\left\\\\langle{\"+n+\"}\\\\middle\\\\vert{\"+n+\"}\\\\right\\\\rangle\":r?\"\\\\langle{\"+n+\"}\\\\vert{\"+a+\"}\\\\rangle\":\"\\\\left\\\\langle{\"+n+\"}\\\\middle\\\\vert{\"+a+\"}\\\\right\\\\rangle\",t.Push(new l.default(i,t.stack.env,t.configuration).mml())},v.KetBra=function(t,e){var r=t.GetStar(),n=t.GetArgument(e),a=null;\"{\"===t.GetNext()&&(a=t.GetArgument(e,!0));var i=\"\";i=null==a?r?\"\\\\vert{\"+n+\"}\\\\rangle\\\\!\\\\langle{\"+n+\"}\\\\vert\":\"\\\\left\\\\vert{\"+n+\"}\\\\middle\\\\rangle\\\\!\\\\middle\\\\langle{\"+n+\"}\\\\right\\\\vert\":r?\"\\\\vert{\"+n+\"}\\\\rangle\\\\!\\\\langle{\"+a+\"}\\\\vert\":\"\\\\left\\\\vert{\"+n+\"}\\\\middle\\\\rangle\\\\!\\\\middle\\\\langle{\"+a+\"}\\\\right\\\\vert\",t.Push(new l.default(i,t.stack.env,t.configuration).mml())},v.Expectation=function(t,e){var r=t.GetStar(),n=r&&t.GetStar(),a=t.GetArgument(e),i=null;\"{\"===t.GetNext()&&(i=t.GetArgument(e,!0));var o=a&&i?w([i,a,i],r,n):r?\"\\\\langle {\"+a+\"} \\\\rangle\":\"\\\\left\\\\langle {\"+a+\"} \\\\right\\\\rangle\";t.Push(new l.default(o,t.stack.env,t.configuration).mml())},v.MatrixElement=function(t,e){var r=t.GetStar(),n=r&&t.GetStar(),a=w([t.GetArgument(e),t.GetArgument(e),t.GetArgument(e)],r,n);t.Push(new l.default(a,t.stack.env,t.configuration).mml())},v.MatrixQuantity=function(t,e,r){var n=t.GetStar(),a=r?\"smallmatrix\":\"array\",i=\"\",o=\"\",u=\"\";switch(t.GetNext()){case\"{\":i=t.GetArgument(e);break;case\"(\":t.i++,o=n?\"\\\\lgroup\":\"(\",u=n?\"\\\\rgroup\":\")\",i=t.GetUpTo(e,\")\");break;case\"[\":t.i++,o=\"[\",u=\"]\",i=t.GetUpTo(e,\"]\");break;case\"|\":t.i++,o=\"|\",u=\"|\",i=t.GetUpTo(e,\"|\");break;default:o=\"(\",u=\")\"}var s=(o?\"\\\\left\":\"\")+o+\"\\\\begin{\"+a+\"}{} \"+i+\"\\\\end{\"+a+\"}\"+(o?\"\\\\right\":\"\")+u;t.Push(new l.default(s,t.stack.env,t.configuration).mml())},v.IdentityMatrix=function(t,e){var r=t.GetArgument(e),n=parseInt(r,10);if(isNaN(n))throw new u.default(\"InvalidNumber\",\"Invalid number\");if(n<=1)return t.string=\"1\"+t.string.slice(t.i),void(t.i=0);for(var a=Array(n).fill(\"0\"),i=[],o=0;o<n;o++){var l=a.slice();l[o]=\"1\",i.push(l.join(\" & \"))}t.string=i.join(\"\\\\\\\\ \")+t.string.slice(t.i),t.i=0},v.XMatrix=function(t,e){var r=t.GetStar(),n=t.GetArgument(e),a=t.GetArgument(e),i=t.GetArgument(e),o=parseInt(a,10),l=parseInt(i,10);if(isNaN(o)||isNaN(l)||l.toString()!==i||o.toString()!==a)throw new u.default(\"InvalidNumber\",\"Invalid number\");if(o=o<1?1:o,l=l<1?1:l,!r){var s=Array(l).fill(n).join(\" & \"),c=Array(o).fill(s).join(\"\\\\\\\\ \");return t.string=c+t.string.slice(t.i),void(t.i=0)}var f=\"\";if(1===o&&1===l)f=n;else if(1===o){s=[];for(var g=1;g<=l;g++)s.push(n+\"_{\"+g+\"}\");f=s.join(\" & \")}else if(1===l){for(s=[],g=1;g<=o;g++)s.push(n+\"_{\"+g+\"}\");f=s.join(\"\\\\\\\\ \")}else{var v=[];for(g=1;g<=o;g++){s=[];for(var m=1;m<=l;m++)s.push(n+\"_{{\"+g+\"}{\"+m+\"}}\");v.push(s.join(\" & \"))}f=v.join(\"\\\\\\\\ \")}t.string=f+t.string.slice(t.i),t.i=0},v.PauliMatrix=function(t,e){var r=t.GetArgument(e),n=r.slice(1);switch(r[0]){case\"0\":n+=\" 1 & 0\\\\\\\\ 0 & 1\";break;case\"1\":case\"x\":n+=\" 0 & 1\\\\\\\\ 1 & 0\";break;case\"2\":case\"y\":n+=\" 0 & -i\\\\\\\\ i & 0\";break;case\"3\":case\"z\":n+=\" 1 & 0\\\\\\\\ 0 & -1\"}t.string=n+t.string.slice(t.i),t.i=0},v.DiagonalMatrix=function(t,e,r){if(\"{\"===t.GetNext()){var n=t.i;t.GetArgument(e);var a=t.i;t.i=n+1;for(var i=[],o=\"\",l=t.i;l<a;){try{o=t.GetUpTo(e,\",\")}catch(e){t.i=a,i.push(t.string.slice(l,a-1));break}if(t.i>=a){i.push(t.string.slice(l,a));break}l=t.i,i.push(o)}t.string=function(t,e){for(var r=t.length,n=[],a=0;a<r;a++)n.push(Array(e?r-a:a+1).join(\"&\")+\"\\\\mqty{\"+t[a]+\"}\");return n.join(\"\\\\\\\\ \")}(i,r)+t.string.slice(a),t.i=0}},v.AutoClose=function(t,e,r){var n=t.create(\"token\",\"mo\",{stretchy:!1},e),a=t.itemFactory.create(\"mml\",n).setProperties({autoclose:e});t.Push(a)},v.Vnabla=function(t,e){var r=t.options.physics.arrowdel?\"\\\\vec{\\\\gradientnabla}\":\"{\\\\gradientnabla}\";return t.Push(new l.default(r,t.stack.env,t.configuration).mml())},v.DiffD=function(t,e){var r=t.options.physics.italicdiff?\"d\":\"{\\\\rm d}\";return t.Push(new l.default(r,t.stack.env,t.configuration).mml())},v.Macro=o.default.Macro,v.NamedFn=o.default.NamedFn,v.Array=o.default.Array,r.default=v},\n",
-       "      787: function _(t,e,o,n,i){var a=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,o=e&&t[e],n=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var r=t(547),l=t(550),s=t(537),f=t(536),p=t(551),u=t(555),c=t(522);o.SetOptionsUtil={filterPackage:function(t,e){if(\"tex\"!==e&&!r.ConfigurationHandler.get(e))throw new s.default(\"NotAPackage\",\"Not a defined package: %1\",e);var o=t.options.setoptions,n=o.allowOptions[e];if(void 0===n&&!o.allowPackageDefault||!1===n)throw new s.default(\"PackageNotSettable\",'Options can\\'t be set for package \"%1\"',e);return!0},filterOption:function(t,e,o){var n,i=t.options.setoptions,a=i.allowOptions[e]||{},r=a.hasOwnProperty(o)&&!c.isObject(a[o])?a[o]:null;if(!1===r||null===r&&!i.allowOptionsDefault)throw new s.default(\"OptionNotSettable\",'Option \"%1\" is not allowed to be set',o);if(!(null===(n=\"tex\"===e?t.options:t.options[e])||void 0===n?void 0:n.hasOwnProperty(o)))throw\"tex\"===e?new s.default(\"InvalidTexOption\",'Invalid TeX option \"%1\"',o):new s.default(\"InvalidOptionKey\",'Invalid option \"%1\" for package \"%2\"',o,e);return!0},filterValue:function(t,e,o,n){return n}};var d=new l.CommandMap(\"setoptions\",{setOptions:\"SetOptions\"},{SetOptions:function(t,e){var o,n,i=t.GetBrackets(e)||\"tex\",r=f.default.keyvalOptions(t.GetArgument(e)),l=t.options.setoptions;if(l.filterPackage(t,i))try{for(var s=a(Object.keys(r)),p=s.next();!p.done;p=s.next()){var u=p.value;l.filterOption(t,i,u)&&((\"tex\"===i?t.options:t.options[i])[u]=l.filterValue(t,i,u,r[u]))}}catch(t){o={error:t}}finally{try{p&&!p.done&&(n=s.return)&&n.call(s)}finally{if(o)throw o.error}}}});o.SetOptionsConfiguration=r.Configuration.create(\"setoptions\",{handler:{macro:[\"setoptions\"]},config:function(t,e){var o=e.parseOptions.handlers.get(\"macro\").lookup(\"require\");o&&(d.add(\"Require\",new p.Macro(\"Require\",o._func)),d.add(\"require\",new p.Macro(\"require\",u.default.Macro,[\"\\\\Require{#2}\\\\setOptions[#2]{#1}\",2,\"\"])))},priority:3,options:{setoptions:{filterPackage:o.SetOptionsUtil.filterPackage,filterOption:o.SetOptionsUtil.filterOption,filterValue:o.SetOptionsUtil.filterValue,allowPackageDefault:!0,allowOptionsDefault:!0,allowOptions:c.expandable({tex:{FindTeX:!1,formatError:!1,package:!1,baseURL:!1,tags:!1,maxBuffer:!1,maxMaxros:!1,macros:!1,environments:!1},setoptions:!1,autoload:!1,require:!1,configmacros:!1,tagformat:!1})}}})},\n",
-       "      788: function _(t,o,n,r,a){var e,i=this&&this.__extends||(e=function(t,o){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var n in o)Object.prototype.hasOwnProperty.call(o,n)&&(t[n]=o[n])},e(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function n(){this.constructor=t}e(t,o),t.prototype=null===o?Object.create(o):(n.prototype=o.prototype,new n)});r();var s=t(547),p=t(546),u=0;function c(t,o){var n=o.parseOptions.options.tags;\"base\"!==n&&t.tags.hasOwnProperty(n)&&p.TagsFactory.add(n,t.tags[n]);var r=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i(n,t),n.prototype.formatNumber=function(t){return o.parseOptions.options.tagformat.number(t)},n.prototype.formatTag=function(t){return o.parseOptions.options.tagformat.tag(t)},n.prototype.formatId=function(t){return o.parseOptions.options.tagformat.id(t)},n.prototype.formatUrl=function(t,n){return o.parseOptions.options.tagformat.url(t,n)},n}(p.TagsFactory.create(o.parseOptions.options.tags).constructor),a=\"configTags-\"+ ++u;p.TagsFactory.add(a,r),o.parseOptions.options.tags=a}n.tagformatConfig=c,n.TagFormatConfiguration=s.Configuration.create(\"tagformat\",{config:[c,10],options:{tagformat:{number:function(t){return t.toString()},tag:function(t){return\"(\"+t+\")\"},id:function(t){return\"mjx-eqn:\"+t.replace(/\\s/g,\"_\")},url:function(t,o){return o+\"#\"+encodeURIComponent(t)}}}})},\n",
-       "      789: function _(o,t,a,c,n){c();var r=o(547);o(790),a.TextcompConfiguration=r.Configuration.create(\"textcomp\",{handler:{macro:[\"textcomp-macros\"]}})},\n",
-       "      790: function _(t,e,r,n,s){n();var x=t(550),I=t(554),a=t(791),o=t(536),i=t(792);new x.CommandMap(\"textcomp-macros\",{textasciicircum:[\"Insert\",\"^\"],textasciitilde:[\"Insert\",\"~\"],textasteriskcentered:[\"Insert\",\"*\"],textbackslash:[\"Insert\",\"\\\\\"],textbar:[\"Insert\",\"|\"],textbraceleft:[\"Insert\",\"{\"],textbraceright:[\"Insert\",\"}\"],textbullet:[\"Insert\",\"\\u2022\"],textdagger:[\"Insert\",\"\\u2020\"],textdaggerdbl:[\"Insert\",\"\\u2021\"],textellipsis:[\"Insert\",\"\\u2026\"],textemdash:[\"Insert\",\"\\u2014\"],textendash:[\"Insert\",\"\\u2013\"],textexclamdown:[\"Insert\",\"\\xa1\"],textgreater:[\"Insert\",\">\"],textless:[\"Insert\",\"<\"],textordfeminine:[\"Insert\",\"\\xaa\"],textordmasculine:[\"Insert\",\"\\xba\"],textparagraph:[\"Insert\",\"\\xb6\"],textperiodcentered:[\"Insert\",\"\\xb7\"],textquestiondown:[\"Insert\",\"\\xbf\"],textquotedblleft:[\"Insert\",\"\\u201c\"],textquotedblright:[\"Insert\",\"\\u201d\"],textquoteleft:[\"Insert\",\"\\u2018\"],textquoteright:[\"Insert\",\"\\u2019\"],textsection:[\"Insert\",\"\\xa7\"],textunderscore:[\"Insert\",\"_\"],textvisiblespace:[\"Insert\",\"\\u2423\"],textacutedbl:[\"Insert\",\"\\u02dd\"],textasciiacute:[\"Insert\",\"\\xb4\"],textasciibreve:[\"Insert\",\"\\u02d8\"],textasciicaron:[\"Insert\",\"\\u02c7\"],textasciidieresis:[\"Insert\",\"\\xa8\"],textasciimacron:[\"Insert\",\"\\xaf\"],textgravedbl:[\"Insert\",\"\\u02f5\"],texttildelow:[\"Insert\",\"\\u02f7\"],textbaht:[\"Insert\",\"\\u0e3f\"],textcent:[\"Insert\",\"\\xa2\"],textcolonmonetary:[\"Insert\",\"\\u20a1\"],textcurrency:[\"Insert\",\"\\xa4\"],textdollar:[\"Insert\",\"$\"],textdong:[\"Insert\",\"\\u20ab\"],texteuro:[\"Insert\",\"\\u20ac\"],textflorin:[\"Insert\",\"\\u0192\"],textguarani:[\"Insert\",\"\\u20b2\"],textlira:[\"Insert\",\"\\u20a4\"],textnaira:[\"Insert\",\"\\u20a6\"],textpeso:[\"Insert\",\"\\u20b1\"],textsterling:[\"Insert\",\"\\xa3\"],textwon:[\"Insert\",\"\\u20a9\"],textyen:[\"Insert\",\"\\xa5\"],textcircledP:[\"Insert\",\"\\u2117\"],textcompwordmark:[\"Insert\",\"\\u200c\"],textcopyleft:[\"Insert\",\"\\u{1f12f}\"],textcopyright:[\"Insert\",\"\\xa9\"],textregistered:[\"Insert\",\"\\xae\"],textservicemark:[\"Insert\",\"\\u2120\"],texttrademark:[\"Insert\",\"\\u2122\"],textbardbl:[\"Insert\",\"\\u2016\"],textbigcircle:[\"Insert\",\"\\u25ef\"],textblank:[\"Insert\",\"\\u2422\"],textbrokenbar:[\"Insert\",\"\\xa6\"],textdiscount:[\"Insert\",\"\\u2052\"],textestimated:[\"Insert\",\"\\u212e\"],textinterrobang:[\"Insert\",\"\\u203d\"],textinterrobangdown:[\"Insert\",\"\\u2e18\"],textmusicalnote:[\"Insert\",\"\\u266a\"],textnumero:[\"Insert\",\"\\u2116\"],textopenbullet:[\"Insert\",\"\\u25e6\"],textpertenthousand:[\"Insert\",\"\\u2031\"],textperthousand:[\"Insert\",\"\\u2030\"],textrecipe:[\"Insert\",\"\\u211e\"],textreferencemark:[\"Insert\",\"\\u203b\"],textlangle:[\"Insert\",\"\\u2329\"],textrangle:[\"Insert\",\"\\u232a\"],textlbrackdbl:[\"Insert\",\"\\u27e6\"],textrbrackdbl:[\"Insert\",\"\\u27e7\"],textlquill:[\"Insert\",\"\\u2045\"],textrquill:[\"Insert\",\"\\u2046\"],textcelsius:[\"Insert\",\"\\u2103\"],textdegree:[\"Insert\",\"\\xb0\"],textdiv:[\"Insert\",\"\\xf7\"],textdownarrow:[\"Insert\",\"\\u2193\"],textfractionsolidus:[\"Insert\",\"\\u2044\"],textleftarrow:[\"Insert\",\"\\u2190\"],textlnot:[\"Insert\",\"\\xac\"],textmho:[\"Insert\",\"\\u2127\"],textminus:[\"Insert\",\"\\u2212\"],textmu:[\"Insert\",\"\\xb5\"],textohm:[\"Insert\",\"\\u2126\"],textonehalf:[\"Insert\",\"\\xbd\"],textonequarter:[\"Insert\",\"\\xbc\"],textonesuperior:[\"Insert\",\"\\xb9\"],textpm:[\"Insert\",\"\\xb1\"],textrightarrow:[\"Insert\",\"\\u2192\"],textsurd:[\"Insert\",\"\\u221a\"],textthreequarters:[\"Insert\",\"\\xbe\"],textthreesuperior:[\"Insert\",\"\\xb3\"],texttimes:[\"Insert\",\"\\xd7\"],texttwosuperior:[\"Insert\",\"\\xb2\"],textuparrow:[\"Insert\",\"\\u2191\"],textborn:[\"Insert\",\"*\"],textdied:[\"Insert\",\"\\u2020\"],textdivorced:[\"Insert\",\"\\u26ae\"],textmarried:[\"Insert\",\"\\u26ad\"],textcentoldstyle:[\"Insert\",\"\\xa2\",I.TexConstant.Variant.OLDSTYLE],textdollaroldstyle:[\"Insert\",\"$\",I.TexConstant.Variant.OLDSTYLE],textzerooldstyle:[\"Insert\",\"0\",I.TexConstant.Variant.OLDSTYLE],textoneoldstyle:[\"Insert\",\"1\",I.TexConstant.Variant.OLDSTYLE],texttwooldstyle:[\"Insert\",\"2\",I.TexConstant.Variant.OLDSTYLE],textthreeoldstyle:[\"Insert\",\"3\",I.TexConstant.Variant.OLDSTYLE],textfouroldstyle:[\"Insert\",\"4\",I.TexConstant.Variant.OLDSTYLE],textfiveoldstyle:[\"Insert\",\"5\",I.TexConstant.Variant.OLDSTYLE],textsixoldstyle:[\"Insert\",\"6\",I.TexConstant.Variant.OLDSTYLE],textsevenoldstyle:[\"Insert\",\"7\",I.TexConstant.Variant.OLDSTYLE],texteightoldstyle:[\"Insert\",\"8\",I.TexConstant.Variant.OLDSTYLE],textnineoldstyle:[\"Insert\",\"9\",I.TexConstant.Variant.OLDSTYLE]},{Insert:function(t,e,r,n){if(t 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-       "      792: function _(t,e,r,n,o){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return s},c=this&&this.__spreadArray||function(t,e){for(var r=0,n=e.length,o=t.length;r<n;r++,o++)t[o]=e[r];return t};n();var u=t(535),h=t(537),f=t(536),p=t(529),y=t(532),d=t(552),v=function(t){function e(e,r,n,o){var i=t.call(this,e,r,n)||this;return i.level=o,i}return s(e,t),Object.defineProperty(e.prototype,\"texParser\",{get:function(){return this.configuration.packageData.get(\"textmacros\").texParser},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"tags\",{get:function(){return this.texParser.tags},enumerable:!1,configurable:!0}),e.prototype.mml=function(){return null!=this.level?this.create(\"node\",\"mstyle\",this.nodes,{displaystyle:!1,scriptlevel:this.level}):1===this.nodes.length?this.nodes[0]:this.create(\"node\",\"mrow\",this.nodes)},e.prototype.Parse=function(){this.text=\"\",this.nodes=[],this.envStack=[],t.prototype.Parse.call(this)},e.prototype.saveText=function(){if(this.text){var t=this.stack.env.mathvariant,e=f.default.internalText(this,this.text,t?{mathvariant:t}:{});this.text=\"\",this.Push(e)}},e.prototype.Push=function(e){if(this.text&&this.saveText(),e instanceof d.StopItem)return t.prototype.Push.call(this,e);e instanceof d.StyleItem?this.stack.env.mathcolor=this.stack.env.color:e instanceof p.AbstractMmlNode&&(this.addAttributes(e),this.nodes.push(e))},e.prototype.PushMath=function(t){var e,r,n=this.stack.env;try{for(var o=a([\"mathsize\",\"mathcolor\"]),i=o.next();!i.done;i=o.next()){var s=i.value;n[s]&&!t.attributes.getExplicit(s)&&(t.isToken||t.isKind(\"mstyle\")||(t=this.create(\"node\",\"mstyle\",[t])),y.default.setAttribute(t,s,n[s]))}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(e)throw e.error}}t.isInferred&&(t=this.create(\"node\",\"mrow\",t.childNodes)),this.nodes.push(t)},e.prototype.addAttributes=function(t){var e,r,n=this.stack.env;if(t.isToken)try{for(var o=a([\"mathsize\",\"mathcolor\",\"mathvariant\"]),i=o.next();!i.done;i=o.next()){var s=i.value;n[s]&&!t.attributes.getExplicit(s)&&y.default.setAttribute(t,s,n[s])}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(e)throw e.error}}},e.prototype.ParseTextArg=function(t,r){return new e(this.GetArgument(t),r=Object.assign(Object.assign({},this.stack.env),r),this.configuration).mml()},e.prototype.ParseArg=function(t){return new e(this.GetArgument(t),this.stack.env,this.configuration).mml()},e.prototype.Error=function(t,e){for(var r=[],n=2;n<arguments.length;n++)r[n-2]=arguments[n];throw new(h.default.bind.apply(h.default,c([void 0,t,e],l(r))))},e}(u.default);r.TextParser=v},\n",
-       "      793: function _(t,a,e,o,r){var n;o();var s=t(547),c=t(541),i=t(546),p=t(552),m=t(792),g=t(791);function x(t,a,e,o){var r=t.configuration.packageData.get(\"textmacros\");return t instanceof m.TextParser||(r.texParser=t),[new m.TextParser(a,o?{mathvariant:o}:{},r.parseOptions,e).mml()]}t(794),e.TextBaseConfiguration=s.Configuration.create(\"text-base\",{parser:\"text\",handler:{character:[\"command\",\"text-special\"],macro:[\"text-macros\"]},fallback:{character:function(t,a){t.text+=a},macro:function(t,a){var e=t.texParser,o=e.lookup(\"macro\",a);o&&o._func!==g.TextMacrosMethods.Macro&&t.Error(\"MathMacro\",\"%1 is only supported in math mode\",\"\\\\\"+a),e.parse(\"macro\",[t,a])}},items:(n={},n[p.StartItem.prototype.kind]=p.StartItem,n[p.StopItem.prototype.kind]=p.StopItem,n[p.MmlItem.prototype.kind]=p.MmlItem,n[p.StyleItem.prototype.kind]=p.StyleItem,n)}),e.TextMacrosConfiguration=s.Configuration.create(\"textmacros\",{config:function(t,a){var e=new s.ParserConfiguration(a.parseOptions.options.textmacros.packages,[\"tex\",\"text\"]);e.init();var o=new c.default(e,[]);o.options=a.parseOptions.options,e.config(a),i.TagsFactory.addTags(e.tags),o.tags=i.TagsFactory.getDefault(),o.tags.configuration=o,o.packageData=a.parseOptions.packageData,o.packageData.set(\"textmacros\",{parseOptions:o,jax:a,texParser:null}),o.options.internalMath=x},preprocessors:[function(t){var a=t.data.packageData.get(\"textmacros\");a.parseOptions.nodeFactory.setMmlFactory(a.jax.mmlFactory)}],options:{textmacros:{packages:[\"text-base\"]}}})},\n",
-       "      794: function _(e,t,a,n,c){n();var o=e(550),S=e(554),r=e(791),s=e(556);new o.MacroMap(\"text-special\",{$:\"Math\",\"%\":\"Comment\",\"^\":\"MathModeOnly\",_:\"MathModeOnly\",\"&\":\"Misplaced\",\"#\":\"Misplaced\",\"~\":\"Tilde\",\" \":\"Space\",\"\\t\":\"Space\",\"\\r\":\"Space\",\"\\n\":\"Space\",\"\\xa0\":\"Tilde\",\"{\":\"OpenBrace\",\"}\":\"CloseBrace\",\"`\":\"OpenQuote\",\"'\":\"CloseQuote\"},r.TextMacrosMethods),new o.CommandMap(\"text-macros\",{\"(\":\"Math\",$:\"SelfQuote\",_:\"SelfQuote\",\"%\":\"SelfQuote\",\"{\":\"SelfQuote\",\"}\":\"SelfQuote\",\" \":\"SelfQuote\",\"&\":\"SelfQuote\",\"#\":\"SelfQuote\",\"\\\\\":\"SelfQuote\",\"'\":[\"Accent\",\"\\xb4\"],\"\\u2019\":[\"Accent\",\"\\xb4\"],\"`\":[\"Accent\",\"`\"],\"\\u2018\":[\"Accent\",\"`\"],\"^\":[\"Accent\",\"^\"],'\"':[\"Accent\",\"\\xa8\"],\"~\":[\"Accent\",\"~\"],\"=\":[\"Accent\",\"\\xaf\"],\".\":[\"Accent\",\"\\u02d9\"],u:[\"Accent\",\"\\u02d8\"],v:[\"Accent\",\"\\u02c7\"],emph:\"Emph\",rm:[\"SetFont\",S.TexConstant.Variant.NORMAL],mit:[\"SetFont\",S.TexConstant.Variant.ITALIC],oldstyle:[\"SetFont\",S.TexConstant.Variant.OLDSTYLE],cal:[\"SetFont\",S.TexConstant.Variant.CALLIGRAPHIC],it:[\"SetFont\",\"-tex-mathit\"],bf:[\"SetFont\",S.TexConstant.Variant.BOLD],bbFont:[\"SetFont\",S.TexConstant.Variant.DOUBLESTRUCK],scr:[\"SetFont\",S.TexConstant.Variant.SCRIPT],frak:[\"SetFont\",S.TexConstant.Variant.FRAKTUR],sf:[\"SetFont\",S.TexConstant.Variant.SANSSERIF],tt:[\"SetFont\",S.TexConstant.Variant.MONOSPACE],tiny:[\"SetSize\",.5],Tiny:[\"SetSize\",.6],scriptsize:[\"SetSize\",.7],small:[\"SetSize\",.85],normalsize:[\"SetSize\",1],large:[\"SetSize\",1.2],Large:[\"SetSize\",1.44],LARGE:[\"SetSize\",1.73],huge:[\"SetSize\",2.07],Huge:[\"SetSize\",2.49],Bbb:[\"Macro\",\"{\\\\bbFont #1}\",1],textrm:[\"Macro\",\"{\\\\rm #1}\",1],textit:[\"Macro\",\"{\\\\it #1}\",1],textbf:[\"Macro\",\"{\\\\bf #1}\",1],textsf:[\"Macro\",\"{\\\\sf #1}\",1],texttt:[\"Macro\",\"{\\\\tt #1}\",1],dagger:[\"Insert\",\"\\u2020\"],ddagger:[\"Insert\",\"\\u2021\"],S:[\"Insert\",\"\\xa7\"],\",\":[\"Spacer\",s.MATHSPACE.thinmathspace],\":\":[\"Spacer\",s.MATHSPACE.mediummathspace],\">\":[\"Spacer\",s.MATHSPACE.mediummathspace],\";\":[\"Spacer\",s.MATHSPACE.thickmathspace],\"!\":[\"Spacer\",s.MATHSPACE.negativethinmathspace],enspace:[\"Spacer\",.5],quad:[\"Spacer\",1],qquad:[\"Spacer\",2],thinspace:[\"Spacer\",s.MATHSPACE.thinmathspace],negthinspace:[\"Spacer\",s.MATHSPACE.negativethinmathspace],hskip:\"Hskip\",hspace:\"Hskip\",kern:\"Hskip\",mskip:\"Hskip\",mspace:\"Hskip\",mkern:\"Hskip\",rule:\"rule\",Rule:[\"Rule\"],Space:[\"Rule\",\"blank\"],color:\"CheckAutoload\",textcolor:\"CheckAutoload\",colorbox:\"CheckAutoload\",fcolorbox:\"CheckAutoload\",href:\"CheckAutoload\",style:\"CheckAutoload\",class:\"CheckAutoload\",cssId:\"CheckAutoload\",unicode:\"CheckAutoload\",ref:[\"HandleRef\",!1],eqref:[\"HandleRef\",!0]},r.TextMacrosMethods)},\n",
-       "      795: function _(p,a,u,e,i){e();var t=p(547),r=p(550),n=p(554);new r.CharacterMap(\"upgreek\",(function(p,a){var u=a.attributes||{};u.mathvariant=n.TexConstant.Variant.NORMAL;var e=p.create(\"token\",\"mi\",u,a.char);p.Push(e)}),{upalpha:\"\\u03b1\",upbeta:\"\\u03b2\",upgamma:\"\\u03b3\",updelta:\"\\u03b4\",upepsilon:\"\\u03f5\",upzeta:\"\\u03b6\",upeta:\"\\u03b7\",uptheta:\"\\u03b8\",upiota:\"\\u03b9\",upkappa:\"\\u03ba\",uplambda:\"\\u03bb\",upmu:\"\\u03bc\",upnu:\"\\u03bd\",upxi:\"\\u03be\",upomicron:\"\\u03bf\",uppi:\"\\u03c0\",uprho:\"\\u03c1\",upsigma:\"\\u03c3\",uptau:\"\\u03c4\",upupsilon:\"\\u03c5\",upphi:\"\\u03d5\",upchi:\"\\u03c7\",uppsi:\"\\u03c8\",upomega:\"\\u03c9\",upvarepsilon:\"\\u03b5\",upvartheta:\"\\u03d1\",upvarpi:\"\\u03d6\",upvarrho:\"\\u03f1\",upvarsigma:\"\\u03c2\",upvarphi:\"\\u03c6\",Upgamma:\"\\u0393\",Updelta:\"\\u0394\",Uptheta:\"\\u0398\",Uplambda:\"\\u039b\",Upxi:\"\\u039e\",Uppi:\"\\u03a0\",Upsigma:\"\\u03a3\",Upupsilon:\"\\u03a5\",Upphi:\"\\u03a6\",Uppsi:\"\\u03a8\",Upomega:\"\\u03a9\"}),u.UpgreekConfiguration=t.Configuration.create(\"upgreek\",{handler:{macro:[\"upgreek\"]}})},\n",
-       "      796: function _(e,t,a,o,n){o();var c=e(547),r=e(537),i=e(550),d=e(536),l=e(532),u=e(538);a.UnicodeMethods={};var m={};a.UnicodeMethods.Unicode=function(e,t){var a=e.GetBrackets(t),o=null,n=null;a&&(a.replace(/ /g,\"\").match(/^(\\d+(\\.\\d*)?|\\.\\d+),(\\d+(\\.\\d*)?|\\.\\d+)$/)?(o=a.replace(/ /g,\"\").split(/,/),n=e.GetBrackets(t)):n=a);var c=d.default.trimSpaces(e.GetArgument(t)).replace(/^0x/,\"x\");if(!c.match(/^(x[0-9A-Fa-f]+|[0-9]+)$/))throw new r.default(\"BadUnicode\",\"Argument to \\\\unicode must be a number\");var i=parseInt(c.match(/^x/)?\"0\"+c:c);m[i]?n||(n=m[i][2]):m[i]=[800,200,n,i],o&&(m[i][0]=Math.floor(1e3*parseFloat(o[0])),m[i][1]=Math.floor(1e3*parseFloat(o[1])));var f=e.stack.env.font,h={};n?(m[i][2]=h.fontfamily=n.replace(/'/g,\"'\"),f&&(f.match(/bold/)&&(h.fontweight=\"bold\"),f.match(/italic|-mathit/)&&(h.fontstyle=\"italic\"))):f&&(h.mathvariant=f);var s=e.create(\"token\",\"mtext\",h,u.numeric(c));l.default.setProperty(s,\"unicode\",!0),e.Push(s)},new i.CommandMap(\"unicode\",{unicode:\"Unicode\"},a.UnicodeMethods),a.UnicodeConfiguration=c.Configuration.create(\"unicode\",{handler:{macro:[\"unicode\"]}})},\n",
-       "      797: function _(e,r,t,i,n){i();var a=e(547),o=e(554),s=e(550),g=e(537);t.VerbMethods={},t.VerbMethods.Verb=function(e,r){var t=e.GetNext(),i=++e.i;if(\"\"===t)throw new g.default(\"MissingArgFor\",\"Missing argument for %1\",r);for(;e.i<e.string.length&&e.string.charAt(e.i)!==t;)e.i++;if(e.i===e.string.length)throw new g.default(\"NoClosingDelim\",\"Can't find closing delimiter for %1\",e.currentCS);var n=e.string.slice(i,e.i).replace(/ /g,\"\\xa0\");e.i++,e.Push(e.create(\"token\",\"mtext\",{mathvariant:o.TexConstant.Variant.MONOSPACE},n))},new s.CommandMap(\"verb\",{verb:\"Verb\"},t.VerbMethods),t.VerbConfiguration=a.Configuration.create(\"verb\",{handler:{macro:[\"verb\"]}})},\n",
-       "      }, 514, {\"models/text/mathjax/main\":514,\"models/text/mathjax/index\":515}, {});});\n",
-       "\n",
-       "      /* END bokeh-mathjax.min.js */\n",
-       "    },\n",
-       "    \n",
-       "    function(Bokeh) {\n",
-       "      Bokeh.set_log_level(\"info\");\n",
-       "    },\n",
-       "    \n",
-       "    function(Bokeh) {\n",
-       "      /* BEGIN panel.min.js */\n",
-       "      /*!\n",
-       "       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n",
-       "       * All rights reserved.\n",
-       "       * \n",
-       "       * Redistribution and use in source and binary forms, with or without modification,\n",
-       "       * are permitted provided that the following conditions are met:\n",
-       "       * \n",
-       "       * Redistributions of source code must retain the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer.\n",
-       "       * \n",
-       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
-       "       * this list of conditions and the following disclaimer in the documentation\n",
-       "       * and/or other materials provided with the distribution.\n",
-       "       * \n",
-       "       * Neither the name of Anaconda nor the names of any contributors\n",
-       "       * may be used to endorse or promote products derived from this software\n",
-       "       * without specific prior written permission.\n",
-       "       * \n",
-       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
-       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
-       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
-       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
-       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
-       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
-       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
-       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
-       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
-       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
-       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
-       "       */\n",
-       "      (function(root, factory) {\n",
-       "        factory(root[\"Bokeh\"], undefined);\n",
-       "      })(this, function(Bokeh, version) {\n",
-       "        let define;\n",
-       "        return (function(modules, entry, aliases, externals) {\n",
-       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
-       "          if (bokeh != null) {\n",
-       "            return bokeh.register_plugin(modules, entry, aliases);\n",
-       "          } else {\n",
-       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
-       "          }\n",
-       "        })\n",
-       "      ({\n",
-       "      \"4e90918c0a\": function _(e,s,t,b,o){b();const a=(0,e(\"tslib\").__importStar)(e(\"1abe9b6912\"));t.Panel=a;(0,e(\"@bokehjs/base\").register_models)(a)},\n",
-       "      \"1abe9b6912\": function _(e,a,t,c,o){c();const d=e(\"tslib\");o(\"AcePlot\",e(\"9fecc8d0f9\").AcePlot),o(\"Audio\",e(\"339f84d639\").Audio),o(\"Card\",e(\"c816112d20\").Card),o(\"CommManager\",e(\"e552778259\").CommManager),o(\"DataTabulator\",e(\"8e41f17634\").DataTabulator),o(\"DatetimePicker\",e(\"6e11b2cfe2\").DatetimePicker),o(\"DeckGLPlot\",e(\"df2378664f\").DeckGLPlot),o(\"ECharts\",e(\"9d046c4720\").ECharts),o(\"HTML\",e(\"c424a3bd17\").HTML),o(\"IDOM\",e(\"7d45bd3bc4\").IDOM),o(\"IPyWidget\",e(\"0eae77d68f\").IPyWidget),o(\"JSON\",e(\"0d30bea0c8\").JSON),o(\"FileDownload\",e(\"1767172ffa\").FileDownload),o(\"KaTeX\",e(\"7b859fb3cf\").KaTeX),o(\"Location\",e(\"642aa56b24\").Location),o(\"MathJax\",e(\"0c21036737\").MathJax),o(\"Perspective\",e(\"84a772681d\").Perspective),o(\"Player\",e(\"2e8044c920\").Player),o(\"PlotlyPlot\",e(\"cb7735fd77\").PlotlyPlot),o(\"Progress\",e(\"fd3806082d\").Progress),o(\"QuillInput\",e(\"6895629dfc\").QuillInput),o(\"ReactiveHTML\",e(\"eb3a49319b\").ReactiveHTML),o(\"SingleSelect\",e(\"5ed2116e26\").SingleSelect),o(\"SpeechToText\",e(\"aaa48703af\").SpeechToText),o(\"State\",e(\"bfa46a5f19\").State),o(\"Terminal\",e(\"edf66f5228\").Terminal),o(\"TextToSpeech\",e(\"33cd2c254e\").TextToSpeech),o(\"TrendIndicator\",e(\"effe070807\").TrendIndicator),o(\"VegaPlot\",e(\"04fd346566\").VegaPlot),o(\"Video\",e(\"ffe54b53c3\").Video),o(\"VideoStream\",e(\"e3e9b8e495\").VideoStream),(0,d.__exportStar)(e(\"c51f25e2a7\"),t)},\n",
-       "      \"9fecc8d0f9\": function _(e,t,i,o,s){o();const n=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"@bokehjs/core/dom\"),d=e(\"4c755983eb\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=(0,a.div)({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\",zIndex:0}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,(()=>this._update_code_from_model())),this.connect(this.model.properties.theme.change,(()=>this._update_theme())),this.connect(this.model.properties.language.change,(()=>this._update_language())),this.connect(this.model.properties.filename.change,(()=>this._update_filename())),this.connect(this.model.properties.print_margin.change,(()=>this._update_print_margin())),this.connect(this.model.properties.annotations.change,(()=>this._add_annotations())),this.connect(this.model.properties.readonly.change,(()=>{this._editor.setReadOnly(this.model.readonly)}))}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._modelist=this._ace.require(\"ace/ext/modelist\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._update_theme(),this._update_filename(),this._update_language(),this._editor.setReadOnly(this.model.readonly),this._editor.setShowPrintMargin(this.model.print_margin),this._editor.on(\"change\",(()=>this._update_code_from_editor()))}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_print_margin(){this._editor.setShowPrintMargin(this.model.print_margin)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(`ace/theme/${this.model.theme}`)}_update_filename(){if(this.model.filename){const e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(`ace/mode/${this.model.language}`)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=h,h.__name__=\"AcePlotView\";class _ extends n.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:i,String:o})=>({code:[o,\"\"],filename:[o],language:[o],theme:[o,\"chrome\"],annotations:[t(e),[]],readonly:[i,!1],print_margin:[i,!1]}))),this.override({height:300,width:300})}}i.AcePlot=_,_.__name__=\"AcePlot\",_.__module__=\"panel.models.ace\",_.init_AcePlot()},\n",
-       "      \"4c755983eb\": function _(e,i,t,s,h){s();const n=e(\"@bokehjs/core/layout/html\"),_=e(\"@bokehjs/core/layout/types\"),a=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/models/layouts/html_box\");function d(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),null!=i.min_width&&(e.style.minWidth=i.min_width+\"px\"),null!=i.max_width&&(e.style.maxWidth=i.max_width+\"px\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\"),null!=i.min_height&&(e.style.minHeight=i.min_height+\"px\"),null!=i.max_width&&(e.style.maxHeight=i.max_height+\"px\")}t.set_size=d;class m extends n.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),h=this._cache_count.get(i);if(null!=s&&null!=h&&h>=t)return this._cache_count.set(i,h+1),s;const n=new _.Sizeable(e).bounded_to(this.sizing.size),l=(0,a.sized)(this.el,n,(()=>{const e=new _.Sizeable((0,a.content_size)(this.el)),{border:i,padding:t}=(0,a.extents)(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)}));return this._cache.set(i,l),this._cache_count.set(i,0),l}invalidate_cache(){}}t.CachedVariadicBox=m,m.__name__=\"CachedVariadicBox\";class c extends l.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.markup_el,this.model)}}t.PanelMarkupView=c,c.__name__=\"PanelMarkupView\";class r extends o.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.el,this.model)}}t.PanelHTMLBoxView=r,r.__name__=\"PanelHTMLBoxView\"},\n",
-       "      \"339f84d639\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class u extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=u,u.__name__=\"AudioView\";class h extends l.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=u,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],time:[o,0],throttle:[o,250],value:[e,\"\"],volume:[i]})))}}i.Audio=h,h.__name__=\"Audio\",h.__module__=\"panel.models.widgets\",h.init_Audio()},\n",
-       "      \"c816112d20\": function _(e,s,l,t,o){t();const i=e(\"tslib\"),a=e(\"@bokehjs/models/layouts/column\"),n=e(\"@bokehjs/core/util/bbox\"),c=(0,i.__importStar)(e(\"@bokehjs/core/dom\")),d=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/layout/grid\"),h=e(\"@bokehjs/core/util/color\");class _ extends a.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,(()=>this._collapse()));const{active_header_background:e,header_background:s,header_color:l}=this.model.properties;this.on_change([e,s,l],(()=>this.render()))}_update_layout(){const e=(this.model.collapsed?this.child_views.slice(0,1):this.child_views).map((e=>e.layout));this.layout=new r.Column(e),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}update_position(){if(this.model.collapsible){const e=this.child_views[0],s=e.layout.bbox,l=e.layout.inner_bbox;if(0!=s.x1){const t=getComputedStyle(this.button_el.children[0]),o=parseFloat(t.width)+parseFloat(t.marginLeft),i=new n.BBox({x0:s.x0,x1:s.x1-o,y0:s.y0,y1:s.y1}),a=new n.BBox({x0:l.x0,x1:l.x1-o,y0:l.y0,y1:l.y1});e.layout.set_geometry(i,a)}}super.update_position()}render(){(0,d.empty)(this.el);const{background:e,button_css_classes:s,header_color:l,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?(0,h.color2css)(e):\"\",(0,d.classes)(this.el).clear().add(...this.css_classes());let i=this.model.header_background;!this.model.collapsed&&this.model.active_header_background&&(i=this.model.active_header_background);const a=this.child_views[0];let n;if(this.model.collapsible){this.button_el=c.createElement(\"button\",{type:\"button\",class:o});const e=c.createElement(\"div\",{class:s});e.innerHTML=this.model.collapsed?\"\\u25ba\":\"\\u25bc\",this.button_el.appendChild(e),this.button_el.style.backgroundColor=null!=i?i:\"\",a.el.style.backgroundColor=null!=i?i:\"\",this.button_el.appendChild(a.el),this.button_el.onclick=()=>this._toggle_button(),n=this.button_el}else n=c.createElement(t,{class:o}),n.style.backgroundColor=null!=i?i:\"\",n.appendChild(a.el);n.style.color=null!=l?l:\"\",this.el.appendChild(n),a.render();for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return c.createElement(this.model.tag,{class:this.css_classes()})}}l.CardView=_,_.__name__=\"CardView\";class u extends a.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=_,this.define((({Array:e,Boolean:s,Nullable:l,String:t})=>({active_header_background:[l(t),null],button_css_classes:[e(t),[]],collapsed:[s,!0],collapsible:[s,!0],header_background:[l(t),null],header_color:[l(t),null],header_css_classes:[e(t),[]],header_tag:[t,\"div\"],tag:[t,\"div\"]})))}}l.Card=u,u.__name__=\"Card\",u.__module__=\"panel.models.layout\",u.init_Card()},\n",
-       "      \"e552778259\": function _(e,t,n,o,i){o();const s=e(\"@bokehjs/document\"),c=e(\"@bokehjs/core/view\"),_=e(\"@bokehjs/model\"),l=e(\"@bokehjs/protocol/message\"),a=e(\"@bokehjs/protocol/receiver\");class h extends c.View{renderTo(){}}n.CommManagerView=h,h.__name__=\"CommManagerView\";class m extends _.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new a.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,(e=>this.msg_handler(e))),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,(e=>this.on_ack(e)))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof s.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout((()=>this.process_events()),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=l.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=h,this.define((({Int:e,String:t})=>({plot_id:[t],comm_id:[t],client_comm_id:[t],timeout:[e,5e3],debounce:[e,50]})))}}n.CommManager=m,m.__name__=\"CommManager\",m.__module__=\"panel.models.comm_manager\",m.init_CommManager()},\n",
-       "      \"8e41f17634\": function _(e,t,s,i,o){i();const l=e(\"@bokehjs/core/util/types\"),n=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"@bokehjs/core/build_views\"),r=e(\"@bokehjs/core/bokeh_events\"),d=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/kinds\"),h=e(\"@bokehjs/models/sources/column_data_source\"),u=e(\"@bokehjs/models/widgets/tables\"),m=e(\"99a25e6992\"),_=e(\"f1971f81bf\"),f=e(\"4c755983eb\");class p extends r.ModelEvent{constructor(e,t){super(),this.column=e,this.row=t,this.event_name=\"table-edit\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}function g(e,t,s){for(const i of s)if(i[e]==t)return i;return null}function b(e,t,s,i=0){const o={};if(0==e.length)return o;const n=s[i];for(const a of e){const e=b(a._children,t,s,i+1);for(const t in e)(0,l.isArray)(e[t])?a[t]=e[t].reduce(((e,t)=>e+t),0)/e[t].length:a[t]=e[t];for(const e of t.slice(1)){const t=a[e.field];if(e.field in o){const s=o[e.field];\"min\"===n?o[e.field]=Math.min(t,s):\"max\"===n?o[e.field]=Math.max(t,s):\"sum\"===n?o[e.field]=t+s:\"mean\"===n&&((0,l.isArray)(o[e.field])?o[e.field].push(t):o[e.field]=[s,t])}else o[e.field]=t}}return o}function w(e,t,s,i){const o=[],l=t[0].field;for(const i of e){const e=i[s[0]];let n=g(l,e,o);null==n&&(n={_children:[]},n[l]=e,o.push(n));let a=n;const r={};for(const e of s.slice(1)){a=g(l,i[e],a._children),null==a&&(a={_children:[]},a[l]=i[e],n._children.push(a)),r[e]=n;for(const e of t.slice(1))a[e.field]=i[e];n=a}for(const e of t.slice(1))a[e.field]=i[e.field]}const n=[];for(const e of s)n.push(e in i?i[e]:\"sum\");return b(o,t,n),o}s.TableEditEvent=p,p.__name__=\"TableEditEvent\";class y extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._tabulator_cell_updating=!1,this._data_updating=!0,this._selection_updating=!1,this._styled_cells=[]}connect_signals(){super.connect_signals();const{configuration:e,layout:t,columns:s,theme:i,groupby:o}=this.model.properties;this.on_change([e,t,s,o],(()=>this.render_and_resize())),this.on_change([i],(()=>this.setCSS())),this.connect(this.model.properties.download.change,(()=>{const e=this.model.filename.endsWith(\".json\")?\"json\":\"csv\";this.tabulator.download(e,this.model.filename)})),this.connect(this.model.properties.children.change,(()=>{this._render_children()})),this.connect(this.model.properties.expanded.change,(()=>{for(const e of this.tabulator.rowManager.getRows())e.cells.length>0&&e.cells[0].layoutElement()})),this.connect(this.model.properties.hidden_columns.change,(()=>{this.hideColumns()})),this.connect(this.model.properties.page_size.change,(()=>{this.setPageSize()})),this.connect(this.model.properties.page.change,(()=>{this.setPage()})),this.connect(this.model.properties.max_page.change,(()=>{this.setMaxPage()})),this.connect(this.model.properties.frozen_rows.change,(()=>{this.freezeRows()})),this.connect(this.model.properties.styles.change,(()=>{this._styles=this.model.styles,this.updateStyles()})),this.connect(this.model.source.properties.data.change,(()=>{this.setData()})),this.connect(this.model.source.streaming,(()=>this.addData())),this.connect(this.model.source.patching,(()=>this.updateOrAddData())),this.connect(this.model.source.selected.change,(()=>this.updateSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.updateSelection()))}render_and_resize(){this.render(),this.update_layout(),this.compute_layout(),this.root!==this&&this.invalidate_layout()}render(){super.render();if(this.setCSS())return;this._initializing=!0,this._styles=this.model.styles;const e=(0,d.div)({class:\"pnx-tabulator\"});(0,f.set_size)(e,this.model);let t=this.getConfiguration();this.tabulator=new Tabulator(e,t),this._render_children(),\"remote\"===this.model.pagination&&(this.tabulator.options.pagination=this.model.pagination,this.tabulator.modules.page.mode=\"remote\"),this.setGroupBy(),this.hideColumns(),this.model.pagination?(this.setMaxPage(),this.tabulator.setPage(this.model.page),this.setData()):this.freezeRows(),this.el.appendChild(e)}tableInit(e,t){const s=t.modules.ajax;s.sendRequest=()=>e.requestPage(s.params.page,s.params.sorters),t.modules.page._parseRemoteData=()=>{}}requestPage(e,t){return new Promise(((s,i)=>{try{null!=e&&null!=t&&(this._data_updating?this._data_updating=!1:this.model.sorters=t,this.model.page=e||1),s([])}catch(e){i(e)}}))}renderComplete(){this._initializing&&(this.updateStyles(),this.updateSelection()),this._initializing=!1}freezeRows(){for(const e of this.model.frozen_rows)this.tabulator.getRow(e).freeze()}getLayout(){switch(this.model.layout){case\"fit_data\":return\"fitData\";case\"fit_data_fill\":return\"fitDataFill\";case\"fit_data_stretch\":return\"fitDataStretch\";case\"fit_data_table\":return\"fitDataTable\";case\"fit_columns\":return\"fitColumns\"}}getConfiguration(){const e=\"remote\"==this.model.pagination?\"local\":this.model.pagination||!1;let t=\"toggle\"===this.model.select_mode||NaN;const s=this;let i=Object.assign(Object.assign({},this.model.configuration),{index:\"_index\",nestedFieldSeparator:!1,selectable:t,tableBuilding:function(){s.tableInit(s,this)},renderComplete:()=>this.renderComplete(),rowSelectionChanged:(e,t)=>this.rowSelectionChanged(e,t),rowClick:(e,t)=>this.rowClicked(e,t),cellEdited:e=>this.cellEdited(e),columns:this.getColumns(),layout:this.getLayout(),pagination:e,paginationSize:this.model.page_size,paginationInitialPage:1,selectableCheck:e=>{const t=this.model.selectable_rows;return null==t||t.indexOf(e._row.data._index)>=0},tooltips:e=>e.getColumn().getField()+\": \"+e.getValue(),scrollVertical:(0,m.debounce)((()=>{this.updateStyles()}),50,!1),rowFormatter:e=>this._render_row(e),dataFiltering:()=>{null!=this.tabulator&&(this.model.filters=this.tabulator.getHeaderFilters())}});e&&(i.ajaxURL=\"http://panel.pyviz.org\",i.ajaxSorting=!0);const o=this.model.source;let l;return l=null===o||0===o.columns().length?[]:(0,_.transform_cds_to_records)(o,!0),i.dataTree&&(l=w(l,this.model.columns,this.model.indexes,this.model.aggregators)),Object.assign(Object.assign({},i),{data:l})}_render_children(){new Promise((async e=>{const t=[];for(const e of this.model.expanded)e in this.model.children&&t.push(this.model.children[e]);await(0,a.build_views)(this._child_views,t,{parent:null}),e(null)})).then((()=>{for(const e of this.model.expanded){const t=this.tabulator.getRow(e);this._render_row(t)}}))}_render_row(e){const t=e._row.data._index;if(this.model.expanded.indexOf(t)<0||!(t in this.model.children))return;const s=this.model.children[t],i=this._child_views.get(s);if(null==i)return;const o=e.getElement(),l=o.children[o.children.length-1];if(\"bk\"===l.className&&l.children.length)return;const n=getComputedStyle(this.tabulator.element.children[1].children[0]).backgroundColor,a=\"-\"+o.style.paddingLeft,r=(0,d.div)({style:\"background-color: \"+n+\"; margin-left:\"+a});i.renderTo(r),e.getElement().appendChild(r)}_expand_render(e){const t=e._cell.row.data._index;return\"<i>\"+(this.model.expanded.indexOf(t)<0?\"\\u25ba\":\"\\u25bc\")+\"</i>\"}_update_expand(e){const t=e._cell.row.data._index,s=[...this.model.expanded],i=s.indexOf(t);if(i<0?s.push(t):s.splice(i,1),this.model.expanded=s,s.indexOf(t)<0)return;let o=!0;for(const e of this.model.expanded)if(!(e in this.model.children)){o=!1;break}o&&this._render_children()}getColumns(){var e;const t=null===(e=this.model.configuration)||void 0===e?void 0:e.columns;let s=[];if(null!=t)for(const e of t)if(null!=e.columns){const t=[];for(const s of e.columns)t.push(Object.assign({},s));s.push(Object.assign(Object.assign({},e),{columns:t}))}else if(\"expand\"===e.formatter){const e={hozAlign:\"center\",cellClick:(e,t)=>{this._update_expand(t)},formatter:e=>this._expand_render(e),width:40,frozen:!0};s.push(e)}else\"rowSelection\"===e.formatter&&(e.cellClick=(e,t)=>{t.getRow().toggleSelect()}),s.push(Object.assign({},e));for(const e of this.model.columns){let i=null;if(null!=t)for(const t of s)if(null!=t.columns){for(const s of t.columns)if(e.field===s.field){i=s;break}if(null!=i)break}else if(e.field===t.field){i=t;break}if(null==i&&(i={field:e.field}),null==i.title&&(i.title=e.title),null==i.width&&null!=e.width&&0!=e.width&&(i.width=e.width),null==i.formatter&&null!=e.formatter){const t=e.formatter.type;i.formatter=\"BooleanFormatter\"===t?\"tickCross\":t=>{const s=e.formatter.doFormat(t.getRow(),t,t.getValue(),null,null);if(\"HTMLTemplateFormatter\"===e.formatter.type)return s;const i=(0,d.div)();return i.innerHTML=s,i.children[0].innerHTML}}const o=e.editor,l=o.type;null!=i.editor||(\"StringEditor\"===l?o.completions.length>0?(i.editor=\"autocomplete\",i.editorParams={values:o.completions}):i.editor=\"input\":\"TextEditor\"===l?i.editor=\"textarea\":\"IntEditor\"===l||\"NumberEditor\"===l?(i.editor=\"number\",i.editorParams={step:o.step}):\"CheckboxEditor\"===l?i.editor=\"tickCross\":\"SelectEditor\"===l?(i.editor=\"select\",i.editorParams={values:o.options}):null!=o&&null!=o.default_view&&(i.editor=(t,s,i,o)=>this.renderEditor(e,t,s,i,o))),i.editable=()=>this.model.editable&&null!=o.default_view,i.headerFilter&&\"boolean\"==typeof i.headerFilter&&\"string\"==typeof i.editor&&(i.headerFilter=i.editor,i.headerFilterParams=i.editorParams),null==t&&s.push(i)}return s}renderEditor(e,t,s,i,o){const l=e.editor,n=new l.default_view({column:e,model:l,parent:this,container:t._cell.element});return n.initialize(),n.connect_signals(),s((()=>{n.setValue(t.getValue())})),n.inputEl.addEventListener(\"change\",(()=>{const e=n.serializeValue(),s=t.getValue(),l=n.validate();l.valid||o(l.msg),null!=s&&typeof e!=typeof s?o(\"Mismatching type\"):i(n.serializeValue())})),n.inputEl}after_layout(){super.after_layout(),null!=this.tabulator&&this.tabulator.redraw(!0),this.updateStyles()}setData(){let e=(0,_.transform_cds_to_records)(this.model.source,!0);this.model.configuration.dataTree&&(e=w(e,this.model.columns,this.model.indexes,this.model.aggregators)),this._data_updating=!0,null!=this.model.pagination?this.tabulator.rowManager.setData(e,!0,!1):(this.tabulator.setData(e),this._data_updating=!1),this.freezeRows(),this.updateSelection()}setGroupBy(){if(0==this.model.groupby.length)return void this.tabulator.setGroupBy(!1);this.tabulator.setGroupBy((e=>{const t=[];for(const s of this.model.groupby){const i=s+\": \"+e[s];t.push(i)}return t.join(\", \")}))}setCSS(){let e;e=\"default\"==this.model.theme?\"tabulator\":\"tabulator_\"+this.model.theme;const t=this.model.theme_url+e+\".min.css\";let s=null;const i=document.getElementsByTagName(\"link\"),o=this.model.theme_url.indexOf(\"dist/\"),l=this.model.theme_url.slice(0,o);for(const e of i)if(e.href.indexOf(l)>=0){s=e;break}if(null!=s)return!s.href.endsWith(t)&&(s.href=t,setTimeout((()=>this.render_and_resize()),100),!0);let n=document.getElementsByTagName(\"head\")[0];const a=document.createElement(\"link\");return a.type=\"text/css\",a.rel=\"stylesheet\",a.media=\"screen\",a.href=t,a.onload=()=>{this.render_and_resize()},n.appendChild(a),!0}updateStyles(){for(const e of this._styled_cells)e.cssText=\"\";if(this._styled_cells=[],null==this._styles||null==this.tabulator||0==this.tabulator.getDataCount())return;for(const e in this._styles){const t=this._styles[e],s=this.tabulator.getRow(e);if(!s)continue;const i=s._row.cells;for(const e in t){const s=t[e],o=i[e];if(null==o||!s.length)continue;const n=o.element;this._styled_cells.push(n),n.cssText=\"\";for(const e of s){let t,s;if((0,l.isArray)(e))[t,s]=e;else{if(!e.includes(\":\"))continue;[t,s]=e.split(\":\")}n.style.setProperty(t,s.trimLeft())}}}const e=this._styles;this.model.styles={},this._styles=e}addData(){const e=this.tabulator.rowManager.getRows(),t=e[e.length-1];let s=(0,_.transform_cds_to_records)(this.model.source,!0);this.tabulator.setData(s),this.model.follow&&this.tabulator.scrollToRow(t.data._index||0,\"top\",!1),this.freezeRows(),this.updateSelection()}updateOrAddData(){if(this._tabulator_cell_updating)return;let e=(0,_.transform_cds_to_records)(this.model.source,!0);this.tabulator.setData(e),this.freezeRows(),this.updateSelection()}hideColumns(){for(const e of this.tabulator.getColumns())this.model.hidden_columns.indexOf(e._column.field)>-1?e.hide():e.show()}setMaxPage(){this.tabulator.setMaxPage(this.model.max_page),this.tabulator.modules.page._setPageButtons()}setPage(){this.tabulator.setPage(Math.min(this.model.max_page,this.model.page))}setPageSize(){this.tabulator.setPageSize(this.model.page_size)}updateSelection(){if(null==this.tabulator||this._selection_updating)return;const e=this.model.source.selected.indices,t=this.tabulator.getSelectedData().map((e=>e._index));JSON.stringify(e)!=JSON.stringify(t)&&(this._selection_updating=!0,this.tabulator.deselectRow(),this.tabulator.selectRow(e),this.tabulator.scrollToRow(e[0],\"bottom\",!1),this._selection_updating=!1)}rowClicked(e,t){if(this._selection_updating||this._initializing||\"string\"==typeof this.model.select_mode||!1===this.model.select_mode)return;let s=[];const i=this.model.source.selected,o=t._row.data._index;if(e.ctrlKey||e.metaKey)s=this.model.source.selected.indices;else if(e.shiftKey&&i.indices.length){const e=i.indices[i.indices.length-1];if(o>e)for(let t=e;t<o;t++)s.push(t);else for(let t=e;t>o;t--)s.push(t)}if(s.indexOf(o)<0?s.push(o):s.splice(s.indexOf(o),1),\"number\"==typeof this.model.select_mode)for(;s.length>this.model.select_mode;)s.shift();const l=this._filter_selected(s);this.tabulator.deselectRow(),this.tabulator.selectRow(l),this._selection_updating=!0,i.indices=l,this._selection_updating=!1}_filter_selected(e){const t=[];for(const s of e)(null==this.model.selectable_rows||this.model.selectable_rows.indexOf(s)>=0)&&t.push(s);return t}rowSelectionChanged(e,t){if(this._selection_updating||this._initializing||\"boolean\"==typeof this.model.select_mode||this.model.select_mode.startsWith(\"checkbox\"))return;const s=e.map((e=>e._index)),i=this._filter_selected(s);this._selection_updating=s.length===i.length,this.model.source.selected.indices=i,this._selection_updating=!1}cellEdited(e){const t=e._cell.column.field,s=e._cell.row.data._index,i=e._cell.value;this._tabulator_cell_updating=!0,this.model.source.patch({[t]:[[s,i]]}),this._tabulator_cell_updating=!1,this.model.trigger_event(new p(t,s))}}s.DataTabulatorView=y,y.__name__=\"DataTabulatorView\",s.TableLayout=(0,c.Enum)(\"fit_data\",\"fit_data_fill\",\"fit_data_stretch\",\"fit_data_table\",\"fit_columns\");class x extends n.HTMLBox{constructor(e){super(e)}static init_DataTabulator(){this.prototype.default_view=y,this.define((({Any:e,Array:t,Boolean:i,Nullable:o,Number:l,Ref:n,String:a})=>({aggregators:[e,{}],children:[e,{}],configuration:[e,{}],columns:[t(n(u.TableColumn)),[]],download:[i,!0],editable:[i,!0],expanded:[t(l),[]],filename:[a,\"table.csv\"],filters:[t(e),[]],follow:[i,!0],frozen_rows:[t(l),[]],groupby:[t(a),[]],hidden_columns:[t(a),[]],indexes:[t(a),[]],layout:[s.TableLayout,\"fit_data\"],max_page:[l,0],pagination:[o(a),null],page:[l,0],page_size:[l,0],select_mode:[e,!0],selectable_rows:[o(t(l)),null],source:[n(h.ColumnDataSource)],sorters:[t(e),[]],styles:[e,{}],theme:[a,\"simple\"],theme_url:[a,\"https://unpkg.com/tabulator-tables@4.9.3/dist/css/\"]})))}}s.DataTabulator=x,x.__name__=\"DataTabulator\",x.__module__=\"panel.models.tabulator\",x.init_DataTabulator()},\n",
-       "      \"99a25e6992\": function _(n,l,u,t,e){function o(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}o.debounce=o,l.exports=o},\n",
-       "      \"f1971f81bf\": function _(n,t,e,o,r){o(),e.transform_cds_to_records=function(n,t=!1){const e=[],o=n.columns(),r=n.get_length();if(0===o.length||null===r)return[];for(let l=0;l<r;l++){const r={};for(const t of o){let e=n.get_array(t);const o=null==e[0].shape?null:e[0].shape;null!=o&&o.length>1&&\"number\"==typeof o[0]?r[t]=e.slice(l*o[1],l*o[1]+o[1]):r[t]=e[l]}t&&(r._index=l),e.push(r)}return e},e.dict_to_records=function(n,t=!0){for(let e=0;e<n.index.length;e++){const o={};for(const r of n)(t||\"index\"!==r)&&(o[r]=n[r][e])}return[]}},\n",
-       "      \"6e11b2cfe2\": function _(e,t,i,s,n){s();const o=e(\"tslib\"),l=(0,o.__importDefault)(e(\"50d3473f3f\")),d=e(\"@bokehjs/models/widgets/input_widget\"),a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/enums\"),c=e(\"@bokehjs/core/util/types\"),m=(0,o.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\")),h=(0,o.__importDefault)(e(\"@bokehjs/styles/widgets/flatpickr.css\"));function _(e){const t=[];for(const i of e)if((0,c.isString)(i))t.push(i);else{const[e,s]=i;t.push({from:e,to:s})}return t}class u extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:s,enabled_dates:n,position:o,inline:l,enable_time:d,enable_seconds:a,military_time:r,date_format:c,mode:m}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(o.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)})),this.connect(d.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableTime\",this.model.enable_time)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableSeconds\",this.model.enable_seconds)})),this.connect(r.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"time_24hr\",this.model.military_time)})),this.connect(m.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"mode\",this.model.mode)})),this.connect(c.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"dateFormat\",this.model.date_format)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),h.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,a.input)({type:\"text\",class:m.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,l.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),enableTime:this.model.enable_time,enableSeconds:this.model.enable_seconds,time_24hr:this.model.military_time,dateFormat:this.model.date_format,mode:this.model.mode,onClose:(e,t,i)=>this._on_close(e,t,i)}))}_on_close(e,t,i){(\"range\"!=this.model.mode||t.includes(\"to\"))&&(this.model.value=t,this.change_input())}}i.DatetimePickerView=u,u.__name__=\"DatetimePickerView\";class p extends d.InputWidget{constructor(e){super(e)}static init_DatetimePicker(){this.prototype.default_view=u,this.define((({Boolean:e,String:t,Array:i,Tuple:s,Or:n,Nullable:o})=>{const l=i(n(t,s(t,t)));return{value:[t],min_date:[o(t),null],max_date:[o(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1],enable_time:[e,!0],enable_seconds:[e,!0],military_time:[e,!0],date_format:[t,\"Y-m-d H:i:S\"],mode:[t,\"single\"]}}))}}i.DatetimePicker=p,p.__name__=\"DatetimePicker\",p.__module__=\"panel.models.datetime_picker\",p.init_DatetimePicker()},\n",
-       "      \"50d3473f3f\": function _(e,n,t,a,i){\n",
-       "      /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n",
-       "      /*! *****************************************************************************\n",
-       "              Copyright (c) Microsoft Corporation.\n",
-       "          \n",
-       "              Permission to use, copy, modify, and/or distribute this software for any\n",
-       "              purpose with or without fee is hereby granted.\n",
-       "          \n",
-       "              THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n",
-       "              REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n",
-       "              AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n",
-       "              INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n",
-       "              LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n",
-       "              OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n",
-       "              PERFORMANCE OF THIS SOFTWARE.\n",
-       "              ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],a={_disable:[],_enable:[],allowInput:!1,allowInvalidPreload:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, 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l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return w.setDate(w._input.value,!0,n===w.altInput?w.config.altFormat:w.config.dateFormat),n.blur();w.open()}else if(V(n)||i||o){var r=!!w.timeContainer&&w.timeContainer.contains(n);switch(e.keyCode){case 13:r?(e.preventDefault(),T(),se()):ue(e);break;case 27:e.preventDefault(),se();break;case 8:case 46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var 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d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&c<t&&l.top>t,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new Date(w.currentYear,w.currentMonth,1);t.setMonth(w.currentMonth+n),w.config.showMonths>1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYear<w.config.minDate.getFullYear()),w._hideNextMonthArrow=void 0!==w.config.maxDate&&(w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth+1>w.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 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e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()<w.now.getTime()?w.config.maxDate:w.now,w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth(),w.selectedDates.length>0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var 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w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return 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k.defaultConfig={},k.l10ns={en:e({},i),default:e({},i)},k.localize=function(n){k.l10ns.default=e(e({},k.l10ns.default),n)},k.setDefaults=function(n){k.defaultConfig=e(e({},k.defaultConfig),n)},k.parseDate=C({}),k.formatDate=b({}),k.compareDates=M,\"undefined\"!=typeof jQuery&&void 0!==jQuery.fn&&(jQuery.fn.flatpickr=function(e){return E(this,e)}),Date.prototype.fp_incr=function(e){return new Date(this.getFullYear(),this.getMonth(),this.getDate()+(\"string\"==typeof e?parseInt(e,10):e))},\"undefined\"!=typeof window&&(window.flatpickr=k),k},\"object\"==typeof t&&void 0!==n?n.exports=r():\"function\"==typeof define&&define.amd?define(r):(o=o||self).flatpickr=r()},\n",
-       "      \"df2378664f\": function _(e,t,o,i,a){i();const n=e(\"tslib\"),s=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"@bokehjs/models/sources/column_data_source\"),d=e(\"f1971f81bf\"),l=e(\"4c755983eb\"),_=e(\"6e04fbe567\"),h=(0,n.__importDefault)(e(\"093eb75864\"));function p(){const e={},t=window.deck,o=Object.keys(t).filter((e=>e.charAt(0)===e.charAt(0).toUpperCase()));for(const i of o)e[i]=t[i];return e}class u extends l.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:a,data_sources:n}=this.model.properties;this.on_change([t,o],(()=>this.render())),this.on_change([e,a],(()=>this.updateDeck())),this.on_change([i],(()=>this._update_layers())),this.on_change([n],(()=>this._connect_sources(!0))),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,(()=>this._update_data(!0))),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:p(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:h.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}e.data=(0,d.transform_cds_to_records)(o)}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){if(null==e.coordinate)return;const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let a;try{const n=this.jsonConverter.convert(o),s=(0,_.makeTooltip)(i,n.layers);a=new window.deck.DeckGL(Object.assign(Object.assign({},n),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return a}render(){super.render();const e=(0,s.div)({class:\"deckgl\"});(0,l.set_size)(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=u,u.__name__=\"DeckGLPlotView\";class k extends c.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=u,this.define((({Any:e,Array:t,String:o,Ref:i})=>({data:[e],data_sources:[t(i(r.ColumnDataSource)),[]],clickState:[e,{}],hoverState:[e,{}],initialViewState:[e,{}],layers:[t(e),[]],mapbox_api_key:[o,\"\"],tooltip:[e,{}],viewState:[e,{}]}))),this.override({height:400,width:600})}}o.DeckGLPlot=k,k.__name__=\"DeckGLPlot\",k.__module__=\"panel.models.deckgl\",k.init_DeckGLPlot()},\n",
-       "      \"6e04fbe567\": function _(t,e,n,i,l){\n",
-       "      /*\n",
-       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
-       "          below is preserved to comply with the original license.\n",
-       "          \n",
-       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
-       "          \n",
-       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
-       "          of this software and associated documentation files (the \"Software\"), to deal\n",
-       "          in the Software without restriction, including without limitation the rights\n",
-       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
-       "          copies of the Software, and to permit persons to whom the Software is\n",
-       "          furnished to do so, subject to the following conditions:\n",
-       "          \n",
-       "          The above copyright notice and this permission notice shall be included in\n",
-       "          all copies or substantial portions of the Software.\n",
-       "          \n",
-       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
-       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
-       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
-       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
-       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
-       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
-       "          THE SOFTWARE.\n",
-       "          */\n",
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_RED_SIZE:36176,RENDERBUFFER_GREEN_SIZE:36177,RENDERBUFFER_BLUE_SIZE:36178,RENDERBUFFER_ALPHA_SIZE:36179,RENDERBUFFER_DEPTH_SIZE:36180,RENDERBUFFER_STENCIL_SIZE:36181,FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE:36048,FRAMEBUFFER_ATTACHMENT_OBJECT_NAME:36049,FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL:36050,FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE:36051,COLOR_ATTACHMENT0:36064,DEPTH_ATTACHMENT:36096,STENCIL_ATTACHMENT:36128,DEPTH_STENCIL_ATTACHMENT:33306,NONE:0,FRAMEBUFFER_COMPLETE:36053,FRAMEBUFFER_INCOMPLETE_ATTACHMENT:36054,FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:36055,FRAMEBUFFER_INCOMPLETE_DIMENSIONS:36057,FRAMEBUFFER_UNSUPPORTED:36061,FRAMEBUFFER_BINDING:36006,RENDERBUFFER_BINDING:36007,READ_FRAMEBUFFER:36008,DRAW_FRAMEBUFFER:36009,MAX_RENDERBUFFER_SIZE:34024,INVALID_FRAMEBUFFER_OPERATION:1286,UNPACK_FLIP_Y_WEBGL:37440,UNPACK_PREMULTIPLY_ALPHA_WEBGL:37441,UNPACK_COLORSPACE_CONVERSION_WEBGL:37443,READ_BUFFER:3074,UNPACK_ROW_LENGTH:3314,UNPACK_SKIP_ROWS:3315,UNPACK_SKIP_PIXELS:3316,PACK_ROW_LENGTH:3330,PACK_SKIP_ROWS:3331,PACK_SKIP_PIXELS:3332,TEXTURE_BINDING_3D:32874,UNPACK_SKIP_IMAGES:32877,UNPACK_IMAGE_HEIGHT:32878,MAX_3D_TEXTURE_SIZE:32883,MAX_ELEMENTS_VERTICES:33e3,MAX_ELEMENTS_INDICES:33001,MAX_TEXTURE_LOD_BIAS:34045,MAX_FRAGMENT_UNIFORM_COMPONENTS:35657,MAX_VERTEX_UNIFORM_COMPONENTS:35658,MAX_ARRAY_TEXTURE_LAYERS:35071,MIN_PROGRAM_TEXEL_OFFSET:35076,MAX_PROGRAM_TEXEL_OFFSET:35077,MAX_VARYING_COMPONENTS:35659,FRAGMENT_SHADER_DERIVATIVE_HINT:35723,RASTERIZER_DISCARD:35977,VERTEX_ARRAY_BINDING:34229,MAX_VERTEX_OUTPUT_COMPONENTS:37154,MAX_FRAGMENT_INPUT_COMPONENTS:37157,MAX_SERVER_WAIT_TIMEOUT:37137,MAX_ELEMENT_INDEX:36203,RED:6403,RGB8:32849,RGBA8:32856,RGB10_A2:32857,TEXTURE_3D:32879,TEXTURE_WRAP_R:32882,TEXTURE_MIN_LOD:33082,TEXTURE_MAX_LOD:33083,TEXTURE_BASE_LEVEL:33084,TEXTURE_MAX_LEVEL:33085,TEXTURE_COMPARE_MODE:34892,TEXTURE_COMPARE_FUNC:34893,SRGB:35904,SRGB8:35905,SRGB8_ALPHA8:35907,COMPARE_REF_TO_TEXTURE:34894,RGBA32F:34836,RGB32F:34837,RGBA16F:34842,RGB16F:34843,TEXTURE_2D_ARRAY:35866,TEXTURE_BINDING_2D_ARRAY:35869,R11F_G11F_B10F:35898,RGB9_E5:35901,RGBA32UI:36208,RGB32UI:36209,RGBA16UI:36214,RGB16UI:36215,RGBA8UI:36220,RGB8UI:36221,RGBA32I:36226,RGB32I:36227,RGBA16I:36232,RGB16I:36233,RGBA8I:36238,RGB8I:36239,RED_INTEGER:36244,RGB_INTEGER:36248,RGBA_INTEGER:36249,R8:33321,RG8:33323,R16F:33325,R32F:33326,RG16F:33327,RG32F:33328,R8I:33329,R8UI:33330,R16I:33331,R16UI:33332,R32I:33333,R32UI:33334,RG8I:33335,RG8UI:33336,RG16I:33337,RG16UI:33338,RG32I:33339,RG32UI:33340,R8_SNORM:36756,RG8_SNORM:36757,RGB8_SNORM:36758,RGBA8_SNORM:36759,RGB10_A2UI:36975,TEXTURE_IMMUTABLE_FORMAT:37167,TEXTURE_IMMUTABLE_LEVELS:33503,UNSIGNED_INT_2_10_10_10_REV:33640,UNSIGNED_INT_10F_11F_11F_REV:35899,UNSIGNED_INT_5_9_9_9_REV:35902,FLOAT_32_UNSIGNED_INT_24_8_REV:36269,UNSIGNED_INT_24_8:34042,HALF_FLOAT:5131,RG:33319,RG_INTEGER:33320,INT_2_10_10_10_REV:36255,CURRENT_QUERY:34917,QUERY_RESULT:34918,QUERY_RESULT_AVAILABLE:34919,ANY_SAMPLES_PASSED:35887,ANY_SAMPLES_PASSED_CONSERVATIVE:36202,MAX_DRAW_BUFFERS:34852,DRAW_BUFFER0:34853,DRAW_BUFFER1:34854,DRAW_BUFFER2:34855,DRAW_BUFFER3:34856,DRAW_BUFFER4:34857,DRAW_BUFFER5:34858,DRAW_BUFFER6:34859,DRAW_BUFFER7:34860,DRAW_BUFFER8:34861,DRAW_BUFFER9:34862,DRAW_BUFFER10:34863,DRAW_BUFFER11:34864,DRAW_BUFFER12:34865,DRAW_BUFFER13:34866,DRAW_BUFFER14:34867,DRAW_BUFFER15:34868,MAX_COLOR_ATTACHMENTS:36063,COLOR_ATTACHMENT1:36065,COLOR_ATTACHMENT2:36066,COLOR_ATTACHMENT3:36067,COLOR_ATTACHMENT4:36068,COLOR_ATTACHMENT5:36069,COLOR_ATTACHMENT6:36070,COLOR_ATTACHMENT7:36071,COLOR_ATTACHMENT8:36072,COLOR_ATTACHMENT9:36073,COLOR_ATTACHMENT10:36074,COLOR_ATTACHMENT11:36075,COLOR_ATTACHMENT12:36076,COLOR_ATTACHMENT13:36077,COLOR_ATTACHMENT14:36078,COLOR_ATTACHMENT15:36079,SAMPLER_3D:35679,SAMPLER_2D_SHADOW:35682,SAMPLER_2D_ARRAY:36289,SAMPLER_2D_ARRAY_SHADOW:36292,SAMPLER_CUBE_SHADOW:36293,INT_SAMPLER_2D:36298,INT_SAMPLER_3D:36299,INT_SAMPLER_CUBE:36300,INT_SAMPLER_2D_ARRAY:36303,UNSIGNED_INT_SAMPLER_2D:36306,UNSIGNED_INT_SAMPLER_3D:36307,UNSIGNED_INT_SAMPLER_CUBE:36308,UNSIGNED_INT_SAMPLER_2D_ARRAY:36311,MAX_SAMPLES:36183,SAMPLER_BINDING:35097,PIXEL_PACK_BUFFER:35051,PIXEL_UNPACK_BUFFER:35052,PIXEL_PACK_BUFFER_BINDING:35053,PIXEL_UNPACK_BUFFER_BINDING:35055,COPY_READ_BUFFER:36662,COPY_WRITE_BUFFER:36663,COPY_READ_BUFFER_BINDING:36662,COPY_WRITE_BUFFER_BINDING:36663,FLOAT_MAT2x3:35685,FLOAT_MAT2x4:35686,FLOAT_MAT3x2:35687,FLOAT_MAT3x4:35688,FLOAT_MAT4x2:35689,FLOAT_MAT4x3:35690,UNSIGNED_INT_VEC2:36294,UNSIGNED_INT_VEC3:36295,UNSIGNED_INT_VEC4:36296,UNSIGNED_NORMALIZED:35863,SIGNED_NORMALIZED:36764,VERTEX_ATTRIB_ARRAY_INTEGER:35069,VERTEX_ATTRIB_ARRAY_DIVISOR:35070,TRANSFORM_FEEDBACK_BUFFER_MODE:35967,MAX_TRANSFORM_FEEDBACK_SEPARATE_COMPONENTS:35968,TRANSFORM_FEEDBACK_VARYINGS:35971,TRANSFORM_FEEDBACK_BUFFER_START:35972,TRANSFORM_FEEDBACK_BUFFER_SIZE:35973,TRANSFORM_FEEDBACK_PRIMITIVES_WRITTEN:35976,MAX_TRANSFORM_FEEDBACK_INTERLEAVED_COMPONENTS:35978,MAX_TRANSFORM_FEEDBACK_SEPARATE_ATTRIBS:35979,INTER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-       "      \"9d046c4720\": function _(t,e,s,h,i){h();const r=t(\"@bokehjs/models/layouts/html_box\");class n extends r.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>this._plot()));const{width:t,height:e,renderer:s,theme:h}=this.model.properties;this.on_change([t,e],(()=>this._resize())),this.on_change([h,s],(()=>this.render()))}render(){super.render();const t={width:this.model.width,height:this.model.height,renderer:this.model.renderer};null!=this._chart&&window.echarts.dispose(this._chart),this._chart=window.echarts.init(this.el,this.model.theme,t),this._plot()}after_layout(){super.after_layout(),this._chart.resize()}_plot(){null!=window.echarts&&this._chart.setOption(this.model.data)}_resize(){this._chart.resize({width:this.model.width,height:this.model.height})}}s.EChartsView=n,n.__name__=\"EChartsView\";class a extends r.HTMLBox{constructor(t){super(t)}static init_ECharts(){this.prototype.default_view=n,this.define((({Any:t,String:e})=>({data:[t,{}],theme:[e,\"default\"],renderer:[e,\"canvas\"]})))}}s.ECharts=a,a.__name__=\"ECharts\",a.__module__=\"panel.models.echarts\",a.init_ECharts()},\n",
-       "      \"c424a3bd17\": function _(e,t,n,s,r){s();const i=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/core/bokeh_events\"),_=e(\"4c755983eb\"),l=e(\"3329d4aa5b\");class a extends o.ModelEvent{constructor(e,t){super(),this.node=e,this.data=t,this.event_name=\"dom_event\"}_to_json(){return{model:this.origin,node:this.node,data:this.data}}}function c(e){return(new DOMParser).parseFromString(e,\"text/html\").documentElement.textContent}function d(e){Array.from(e.querySelectorAll(\"script\")).forEach((e=>{const t=document.createElement(\"script\");Array.from(e.attributes).forEach((e=>t.setAttribute(e.name,e.value))),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)}))}n.DOMEvent=a,a.__name__=\"DOMEvent\",n.htmlDecode=c,n.runScripts=d;class h extends _.PanelMarkupView{constructor(){super(...arguments),this._event_listeners={}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()}))}render(){super.render();const e=this.process_tex();e?(this.markup_el.innerHTML=e,d(this.markup_el),this._setup_event_listeners()):this.markup_el.innerHTML=\"\"}process_tex(){const e=c(this.model.text)||this.model.text;if(this.model.disable_math||!this.contains_tex(e))return e;const t=this.provider.MathJax.find_tex(e),n=[];let s=0;for(const r of t)n.push(e.slice(s,r.start.n)),n.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),s=r.end.n;return s<e.length&&n.push(e.slice(s)),n.join(\"\")}contains_tex(e){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(e).length>0}_remove_event_listeners(){for(const e in this._event_listeners){const t=document.getElementById(e);if(null!=t)for(const n in this._event_listeners[e]){const s=this._event_listeners[e][n];t.removeEventListener(n,s)}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}this._event_listeners={}}_setup_event_listeners(){for(const e in this.model.events){const t=document.getElementById(e);if(null!=t)for(const n of this.model.events[e]){const s=t=>{this.model.trigger_event(new a(e,(0,l.serializeEvent)(t)))};t.addEventListener(n,s),e in this._event_listeners||(this._event_listeners[e]={}),this._event_listeners[e][n]=s}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}}}n.HTMLView=h,h.__name__=\"HTMLView\";class u extends i.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=h,this.define((({Any:e})=>({events:[e,{}]})))}}n.HTML=u,u.__name__=\"HTML\",u.__module__=\"panel.models.markup\",u.init_HTML()},\n",
-       "      \"3329d4aa5b\": function _(e,t,o,a,i){function n(e){const t={type:e.type};return\"value\"in e.target&&(t.value=e.target.value),e.type in c&&Object.assign(t,c[e.type](e)),t}a(),o.serializeEvent=n;const r={clipboard:e=>({clipboardData:e.clipboardData}),composition:e=>({data:e.data}),keyboard:e=>({altKey:e.altKey,charCode:e.charCode,ctrlKey:e.ctrlKey,key:e.key,keyCode:e.keyCode,locale:e.locale||null,location:e.location,metaKey:e.metaKey,repeat:e.repeat,shiftKey:e.shiftKey,which:e.which}),mouse:e=>({altKey:e.altKey,button:e.button,buttons:e.buttons,clientX:e.clientX,clientY:e.clientY,ctrlKey:e.ctrlKey,metaKey:e.metaKey,pageX:e.pageX,pageY:e.pageY,screenX:e.screenX,screenY:e.screenY,shiftKey:e.shiftKey}),pointer:e=>({pointerId:e.pointerId,width:e.width,height:e.height,pressure:e.pressure,tiltX:e.tiltX,tiltY:e.tiltY,pointerType:e.pointerType,isPrimary:e.isPrimary}),touch:e=>({altKey:e.altKey,ctrlKey:e.ctrlKey,metaKey:e.metaKey,shiftKey:e.shiftKey}),ui:e=>({detail:e.detail}),wheel:e=>({deltaMode:e.deltaMode,deltaX:e.deltaX,deltaY:e.deltaY,deltaZ:e.deltaZ}),animation:e=>({animationName:e.animationName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}),transition:e=>({propertyName:e.propertyName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime})},l={clipboard:[\"copy\",\"cut\",\"paste\"],composition:[\"compositionend\",\"compositionstart\",\"compositionupdate\"],keyboard:[\"keydown\",\"keypress\",\"keyup\"],mouse:[\"click\",\"contextmenu\",\"doubleclick\",\"drag\",\"dragend\",\"dragenter\",\"dragexit\",\"dragleave\",\"dragover\",\"dragstart\",\"drop\",\"mousedown\",\"mouseenter\",\"mouseleave\",\"mousemove\",\"mouseout\",\"mouseover\",\"mouseup\"],pointer:[\"pointerdown\",\"pointermove\",\"pointerup\",\"pointercancel\",\"gotpointercapture\",\"lostpointercapture\",\"pointerenter\",\"pointerleave\",\"pointerover\",\"pointerout\"],selection:[\"select\"],touch:[\"touchcancel\",\"touchend\",\"touchmove\",\"touchstart\"],ui:[\"scroll\"],wheel:[\"wheel\"],animation:[\"animationstart\",\"animationend\",\"animationiteration\"],transition:[\"transitionend\"]},c={};Object.keys(l).forEach((e=>{l[e].forEach((t=>{c[t]=r[e]}))})),o.default=n},\n",
-       "      \"7d45bd3bc4\": function _(require,module,exports,__esModule,__esExport){__esModule();const preact_1=require(\"6f11f2ef27\"),hooks_1=require(\"4c02a9b43f\"),preact_2=require(\"b3f51db71c\"),fast_json_patch_1=require(\"cbecfde9cd\"),html_box_1=require(\"@bokehjs/models/layouts/html_box\"),layout_1=require(\"4c755983eb\"),event_to_object_1=require(\"3329d4aa5b\"),LayoutConfigContext=(0,preact_1.createContext)({});function mountLayout(e,t,o,n){(0,preact_1.render)(preact_2.html`\n",
-       "            <${Layout}\n",
-       "              saveUpdateHook=${t}\n",
-       "              sendEvent=${o}\n",
-       "              importSourceUrl=${n}\n",
-       "            />\n",
-       "          `,e)}function Layout({saveUpdateHook:e,sendEvent:t,importSourceUrl:o}){const[n,r]=useInplaceJsonPatch({});return(0,hooks_1.useEffect)((()=>e(r)),[r]),n.tagName?preact_2.html`\n",
-       "            <${LayoutConfigContext.Provider}\n",
-       "              value=${{sendEvent:t,importSourceUrl:o}}\n",
-       "            >\n",
-       "              <${Element} model=${n} />\n",
-       "            <//>\n",
-       "          `:preact_2.html`<div />`}function Element({model:e}){return e.importSource?preact_2.html`<${ImportedElement} model=${e} />`:preact_2.html`<${StandardElement} model=${e} />`}function ImportedElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=useLazyModule(e.importSource.source,t.importSourceUrl);if(o){const n=getPathProperty(o,e.tagName),r=elementChildren(e),a=elementAttributes(e,t.sendEvent);return preact_2.html`<${n} ...${a}>${r}<//>`}{const t=e.importSource.fallback;if(!t)return preact_2.html`<div />`;switch(typeof t){case\"object\":return preact_2.html`<${Element} model=${t} />`;case\"string\":return preact_2.html`<div>${t}</div>`;default:return null}}}function StandardElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=elementChildren(e),n=elementAttributes(e,t.sendEvent);return e.children&&e.children.length?preact_2.html`<${e.tagName} ...${n}>${o}<//>`:preact_2.html`<${e.tagName} ...${n} />`}function elementChildren(e){return e.children?e.children.map((e=>{switch(typeof e){case\"object\":return preact_2.html`<${Element} model=${e} />`;case\"string\":return e;default:return null}})):[]}function elementAttributes(e,t){const o=Object.assign({},e.attributes);return e.eventHandlers&&Object.keys(e.eventHandlers).forEach((n=>{const r=e.eventHandlers[n];o[n]=eventHandler(t,r)})),o}function eventHandler(e,t){return function(){const o=Array.from(arguments).map((e=>\"object\"==typeof e?(t.preventDefault&&e.preventDefault(),t.stopPropagation&&e.stopPropagation(),(0,event_to_object_1.serializeEvent)(e)):e));return new Promise((n=>{const r={data:o,target:t.target};e(r),n(r)}))}}function useLazyModule(source,sourceUrlBase=\"\"){const[module,setModule]=(0,hooks_1.useState)(null);return module||eval(`import('${joinUrl(sourceUrlBase,source)}')`).then(setModule),module}function getPathProperty(e,t){const o=t.split(\".\");let n=e[o.shift()];for(let e=0;e<o.length;e++)n=n[o[e]];return n}function useInplaceJsonPatch(e){const t=(0,hooks_1.useRef)(e),o=useForceUpdate(),n=(0,hooks_1.useCallback)(((e,n)=>{applyPatchInplace(t.current,e,n),o()}),[t,o]);return[t.current,n]}function applyPatchInplace(e,t,o){t?(0,fast_json_patch_1.applyPatch)(e,[{op:\"replace\",path:t,value:(0,fast_json_patch_1.applyPatch)((0,fast_json_patch_1.getValueByPointer)(e,t),o,!1,!1).newDocument}]):(0,fast_json_patch_1.applyPatch)(e,o)}function useForceUpdate(){const[,e]=(0,hooks_1.useState)({});return(0,hooks_1.useCallback)((()=>e({})),[])}function joinUrl(e,t){return t.startsWith(\"./\")?(e.endsWith(\"/\")?e.slice(0,-1):e)+t.slice(1):t}exports.mountLayout=mountLayout,exports.default=Layout;class IDOMView extends layout_1.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.event.change,(()=>{this._update(...this.model.event),setTimeout((()=>{requestAnimationFrame((()=>this.fix_layout()))}))}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout(),(0,layout_1.set_size)(this.el,this.model)}initialize(){super.initialize(),mountLayout(this.el,(e=>this._save_update(e)),(e=>this._send(e)),this.model.importSourceUrl)}async lazy_initialize(){await super.lazy_initialize(),await new Promise((e=>{const t=()=>{this._update?e(null):setTimeout(t,100)};t()}))}_save_update(e){this._update=e}async render(){super.render(),this._update(...this.model.event),await new Promise((e=>{const t=()=>{this.el.children.length?(this.fix_layout(),e(null)):setTimeout(t,50)};t()}))}_send(e){this.model.msg=e}}exports.IDOMView=IDOMView,IDOMView.__name__=\"IDOMView\";class IDOM extends html_box_1.HTMLBox{constructor(e){super(e)}static init_IDOM(){this.prototype.default_view=IDOMView,this.define((({Any:e,String:t})=>({event:[e,[]],importSourceUrl:[t,\"\"],msg:[e,{}]})))}}exports.IDOM=IDOM,IDOM.__name__=\"IDOM\",IDOM.__module__=\"panel.models.idom\",IDOM.init_IDOM()},\n",
-       "      \"6f11f2ef27\": function _(e,n,t,_,l){_();var o,r,i,u,s,c,f={},p=[],a=/acit|ex(?:s|g|n|p|$)|rph|grid|ows|mnc|ntw|ine[ch]|zoo|^ord|itera/i;function d(e,n){for(var t in n)e[t]=n[t];return e}function h(e){var n=e.parentNode;n&&n.removeChild(e)}function v(e,n,t){var _,l,o,r=arguments,i={};for(o in n)\"key\"==o?_=n[o]:\"ref\"==o?l=n[o]:i[o]=n[o];if(arguments.length>3)for(t=[t],o=3;o<arguments.length;o++)t.push(r[o]);if(null!=t&&(i.children=t),\"function\"==typeof e&&null!=e.defaultProps)for(o in e.defaultProps)void 0===i[o]&&(i[o]=e.defaultProps[o]);return y(e,i,_,l,null)}function y(e,n,t,_,l){var r={type:e,props:n,key:t,ref:_,__k:null,__:null,__b:0,__e:null,__d:void 0,__c:null,__h:null,constructor:void 0,__v:null==l?++o.__v:l};return null!=o.vnode&&o.vnode(r),r}function m(e){return e.children}function k(e,n){this.props=e,this.context=n}function g(e,n){if(null==n)return e.__?g(e.__,e.__.__k.indexOf(e)+1):null;for(var 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-       "      /*!\n",
-       "           * https://github.com/Starcounter-Jack/JSON-Patch\n",
-       "           * (c) 2017 Joachim Wester\n",
-       "           * MIT license\n",
-       "           */\n",
-       "      var p=e(\"cb21060ee5\"),s=e(\"b2f693e532\"),c=e(\"b2f693e532\");t.applyOperation=c.applyOperation,t.applyPatch=c.applyPatch,t.applyReducer=c.applyReducer,t.getValueByPointer=c.getValueByPointer,t.validate=c.validate,t.validator=c.validator;var i=e(\"cb21060ee5\");t.JsonPatchError=i.PatchError,t.deepClone=i._deepClone,t.escapePathComponent=i.escapePathComponent,t.unescapePathComponent=i.unescapePathComponent;var u=new WeakMap,l=function(e){this.observers=new Map,this.obj=e},v=function(e,n){this.callback=e,this.observer=n};function h(e,n){n.unobserve()}function d(e,n){var t,o=function(e){return u.get(e)}(e);if(o){var a=function(e,n){return e.observers.get(n)}(o,n);t=a&&a.observer}else o=new l(e),u.set(e,o);if(t)return t;if(t={},o.value=p._deepClone(e),n){t.callback=n,t.next=null;var r=function(){f(t)},s=function(){clearTimeout(t.next),t.next=setTimeout(r)};\"undefined\"!=typeof window&&(window.addEventListener(\"mouseup\",s),window.addEventListener(\"keyup\",s),window.addEventListener(\"mousedown\",s),window.addEventListener(\"keydown\",s),window.addEventListener(\"change\",s))}return t.patches=[],t.object=e,t.unobserve=function(){f(t),clearTimeout(t.next),function(e,n){e.observers.delete(n.callback)}(o,t),\"undefined\"!=typeof window&&(window.removeEventListener(\"mouseup\",s),window.removeEventListener(\"keyup\",s),window.removeEventListener(\"mousedown\",s),window.removeEventListener(\"keydown\",s),window.removeEventListener(\"change\",s))},o.observers.set(n,new v(n,t)),t}function f(e,n){void 0===n&&(n=!1);var t=u.get(e.object);w(t.value,e.object,e.patches,\"\",n),e.patches.length&&s.applyPatch(t.value,e.patches);var o=e.patches;return o.length>0&&(e.patches=[],e.callback&&e.callback(o)),o}function w(e,n,t,o,a){if(n!==e){\"function\"==typeof n.toJSON&&(n=n.toJSON());for(var r=p._objectKeys(n),s=p._objectKeys(e),c=!1,i=s.length-1;i>=0;i--){var u=e[v=s[i]];if(!p.hasOwnProperty(n,v)||void 0===n[v]&&void 0!==u&&!1===Array.isArray(n))Array.isArray(e)===Array.isArray(n)?(a&&t.push({op:\"test\",path:o+\"/\"+p.escapePathComponent(v),value:p._deepClone(u)}),t.push({op:\"remove\",path:o+\"/\"+p.escapePathComponent(v)}),c=!0):(a&&t.push({op:\"test\",path:o,value:e}),t.push({op:\"replace\",path:o,value:n}),!0);else{var l=n[v];\"object\"==typeof u&&null!=u&&\"object\"==typeof l&&null!=l?w(u,l,t,o+\"/\"+p.escapePathComponent(v),a):u!==l&&(!0,a&&t.push({op:\"test\",path:o+\"/\"+p.escapePathComponent(v),value:p._deepClone(u)}),t.push({op:\"replace\",path:o+\"/\"+p.escapePathComponent(v),value:p._deepClone(l)}))}}if(c||r.length!=s.length)for(i=0;i<r.length;i++){var v=r[i];p.hasOwnProperty(e,v)||void 0===n[v]||t.push({op:\"add\",path:o+\"/\"+p.escapePathComponent(v),value:p._deepClone(n[v])})}}}function b(e,n,t){void 0===t&&(t=!1);var o=[];return w(e,n,o,\"\",t),o}t.unobserve=h,t.observe=d,t.generate=f,t.compare=b;var y=e(\"b2f693e532\"),m=e(\"cb21060ee5\");t.default=r({},y,{unobserve:h,observe:d,generate:f,compare:b,JsonPatchError:m.PatchError,deepClone:p._deepClone,escapePathComponent:p.escapePathComponent,unescapePathComponent:m.unescapePathComponent})},\n",
-       "      \"cb21060ee5\": function _(r,e,t,n,o){\n",
-       "      /*!\n",
-       "           * https://github.com/Starcounter-Jack/JSON-Patch\n",
-       "           * (c) 2017 Joachim Wester\n",
-       "           * MIT license\n",
-       "           */\n",
-       "      var i,f=this&&this.__extends||(i=function(r,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(r,e){r.__proto__=e}||function(r,e){for(var t in e)e.hasOwnProperty(t)&&(r[t]=e[t])},i(r,e)},function(r,e){function t(){this.constructor=r}i(r,e),r.prototype=null===e?Object.create(e):(t.prototype=e.prototype,new t)});n();var u=Object.prototype.hasOwnProperty;function a(r,e){return u.call(r,e)}function c(r){if(Array.isArray(r)){for(var e=new Array(r.length),t=0;t<e.length;t++)e[t]=\"\"+t;return e}if(Object.keys)return Object.keys(r);e=[];for(var n in r)a(r,n)&&e.push(n);return e}function p(r){return-1===r.indexOf(\"/\")&&-1===r.indexOf(\"~\")?r:r.replace(/~/g,\"~0\").replace(/\\//g,\"~1\")}function s(r,e){var t;for(var n in r)if(a(r,n)){if(r[n]===e)return p(n)+\"/\";if(\"object\"==typeof r[n]&&\"\"!=(t=s(r[n],e)))return p(n)+\"/\"+t}return\"\"}function h(r,e){var t=[r];for(var n in e){var o=\"object\"==typeof e[n]?JSON.stringify(e[n],null,2):e[n];void 0!==o&&t.push(n+\": \"+o)}return t.join(\"\\n\")}t.hasOwnProperty=a,t._objectKeys=c,t._deepClone=function(r){switch(typeof r){case\"object\":return JSON.parse(JSON.stringify(r));case\"undefined\":return null;default:return r}},t.isInteger=function(r){for(var e,t=0,n=r.length;t<n;){if(!((e=r.charCodeAt(t))>=48&&e<=57))return!1;t++}return!0},t.escapePathComponent=p,t.unescapePathComponent=function(r){return r.replace(/~1/g,\"/\").replace(/~0/g,\"~\")},t._getPathRecursive=s,t.getPath=function(r,e){if(r===e)return\"/\";var t=s(r,e);if(\"\"===t)throw new Error(\"Object not found in root\");return\"/\"+t},t.hasUndefined=function r(e){if(void 0===e)return!0;if(e)if(Array.isArray(e)){for(var t=0,n=e.length;t<n;t++)if(r(e[t]))return!0}else if(\"object\"==typeof e){var o=c(e),i=o.length;for(t=0;t<i;t++)if(r(e[o[t]]))return!0}return!1};var y=function(r){function e(e,t,n,o,i){var f=this.constructor,u=r.call(this,h(e,{name:t,index:n,operation:o,tree:i}))||this;return u.name=t,u.index=n,u.operation=o,u.tree=i,Object.setPrototypeOf(u,f.prototype),u.message=h(e,{name:t,index:n,operation:o,tree:i}),u}return f(e,r),e}(Error);t.PatchError=y},\n",
-       "      \"b2f693e532\": function _(e,t,o,r,n){r();var a=e(\"0c8122087b\"),i=e(\"cb21060ee5\");o.JsonPatchError=i.PatchError,o.deepClone=i._deepClone;var p={add:function(e,t,o){return e[t]=this.value,{newDocument:o}},remove:function(e,t,o){var r=e[t];return delete e[t],{newDocument:o,removed:r}},replace:function(e,t,o){var r=e[t];return e[t]=this.value,{newDocument:o,removed:r}},move:function(e,t,o){var r=h(o,this.path);r&&(r=i._deepClone(r));var n=c(o,{op:\"remove\",path:this.from}).removed;return c(o,{op:\"add\",path:this.path,value:n}),{newDocument:o,removed:r}},copy:function(e,t,o){var r=h(o,this.from);return c(o,{op:\"add\",path:this.path,value:i._deepClone(r)}),{newDocument:o}},test:function(e,t,o){return{newDocument:o,test:a(e[t],this.value)}},_get:function(e,t,o){return this.value=e[t],{newDocument:o}}},s={add:function(e,t,o){return i.isInteger(t)?e.splice(t,0,this.value):e[t]=this.value,{newDocument:o,index:t}},remove:function(e,t,o){return{newDocument:o,removed:e.splice(t,1)[0]}},replace:function(e,t,o){var r=e[t];return e[t]=this.value,{newDocument:o,removed:r}},move:p.move,copy:p.copy,test:p.test,_get:p._get};function h(e,t){if(\"\"==t)return e;var o={op:\"_get\",path:t};return c(e,o),o.value}function c(e,t,r,n,c,u){if(void 0===r&&(r=!1),void 0===n&&(n=!0),void 0===c&&(c=!0),void 0===u&&(u=0),r&&(\"function\"==typeof r?r(t,0,e,t.path):d(t,0)),\"\"===t.path){var f={newDocument:e};if(\"add\"===t.op)return f.newDocument=t.value,f;if(\"replace\"===t.op)return f.newDocument=t.value,f.removed=e,f;if(\"move\"===t.op||\"copy\"===t.op)return f.newDocument=h(e,t.from),\"move\"===t.op&&(f.removed=e),f;if(\"test\"===t.op){if(f.test=a(e,t.value),!1===f.test)throw new o.JsonPatchError(\"Test operation failed\",\"TEST_OPERATION_FAILED\",u,t,e);return f.newDocument=e,f}if(\"remove\"===t.op)return f.removed=e,f.newDocument=null,f;if(\"_get\"===t.op)return t.value=e,f;if(r)throw new o.JsonPatchError(\"Operation `op` property is not one of operations defined in RFC-6902\",\"OPERATION_OP_INVALID\",u,t,e);return f}n||(e=i._deepClone(e));var l=(t.path||\"\").split(\"/\"),v=e,E=1,_=l.length,O=void 0,w=void 0,A=void 0;for(A=\"function\"==typeof r?r:d;;){if(w=l[E],c&&\"__proto__\"==w)throw new TypeError(\"JSON-Patch: modifying `__proto__` prop is banned for security reasons, if this was on purpose, please set `banPrototypeModifications` flag false and pass it to this function. 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-       "      \"0c8122087b\": function _(r,t,e,n,f){var i=Array.isArray,o=Object.keys,u=Object.prototype.hasOwnProperty;t.exports=function r(t,e){if(t===e)return!0;if(t&&e&&\"object\"==typeof t&&\"object\"==typeof e){var n,f,a,c=i(t),g=i(e);if(c&&g){if((f=t.length)!=e.length)return!1;for(n=f;0!=n--;)if(!r(t[n],e[n]))return!1;return!0}if(c!=g)return!1;var p=t instanceof Date,s=e instanceof Date;if(p!=s)return!1;if(p&&s)return t.getTime()==e.getTime();var y=t instanceof RegExp,l=e instanceof RegExp;if(y!=l)return!1;if(y&&l)return t.toString()==e.toString();var h=o(t);if((f=h.length)!==o(e).length)return!1;for(n=f;0!=n--;)if(!u.call(e,h[n]))return!1;for(n=f;0!=n--;)if(!r(t[a=h[n]],e[a]))return!1;return!0}return t!=t&&e!=e}},\n",
-       "      \"0eae77d68f\": function _(e,i,t,n,d){n();const s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"4c755983eb\"),o=window.Jupyter;class a extends l.PanelHTMLBoxView{constructor(){super(...arguments),this.rendered=!1}render(){super.render(),this._render().then((()=>{this.rendered=!0,this.invalidate_layout(),this.notify_finished()}))}has_finished(){return this.rendered&&super.has_finished()}async _render(){const{spec:e,state:i}=this.model.bundle;let t;if(null!=o&&null!=o.notebook?t=o.notebook.kernel.widget_manager:null!=window.PyViz.widget_manager&&(t=window.PyViz.widget_manager),t)if(null==this.ipyview){const n=(await t.set_state(i)).find((i=>i.model_id==e.model_id));if(null!=n){const e=await t.create_view(n,{el:this.el});if(this.ipyview=e,e.children_views)for(const i of e.children_views.views)await i;this.el.appendChild(e.el),e.trigger(\"displayed\",e)}}else this.el.appendChild(this.ipyview.el);else console.log(\"Panel IPyWidget model could not find a WidgetManager\")}}t.IPyWidgetView=a,a.__name__=\"IPyWidgetView\";class r extends s.HTMLBox{constructor(e){super(e)}static init_IPyWidget(){this.prototype.default_view=a,this.define((({Any:e})=>({bundle:[e,{}]})))}}t.IPyWidget=r,r.__name__=\"IPyWidget\",r.__module__=\"panel.models.ipywidget\",r.init_IPyWidget()},\n",
-       "      \"0d30bea0c8\": function _(e,t,r,s,n){s();const i=e(\"tslib\"),o=e(\"@bokehjs/core/kinds\"),d=e(\"@bokehjs/models/widgets/markup\"),l=(0,i.__importDefault)(e(\"18bba7b7e1\")),a=e(\"4c755983eb\");class h extends a.PanelMarkupView{connect_signals(){super.connect_signals();const{depth:e,hover_preview:t,theme:r}=this.model.properties;this.on_change([e,t,r],(()=>this.render()))}render(){super.render();const e=this.model.text.replace(/(\\r\\n|\\n|\\r)/gm,\"\");let t;try{t=window.JSON.parse(e)}catch(e){return void(this.markup_el.innerHTML=\"<b>Invalid JSON:</b> \"+e.toString())}const r={hoverPreviewEnabled:this.model.hover_preview,theme:this.model.theme},s=null==this.model.depth?1/0:this.model.depth,n=new l.default(t,s,r).render();let i=\"border-radius: 5px; padding: 10px;\";\"dark\"==this.model.theme?n.style.cssText=\"background-color: rgb(30, 30, 30);\"+i:n.style.cssText=i,this.markup_el.append(n)}}r.JSONView=h,h.__name__=\"JSONView\",r.JSONTheme=(0,o.Enum)(\"dark\",\"light\");class p extends d.Markup{constructor(e){super(e)}static init_JSON(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t,Nullable:s})=>({depth:[s(t),1],hover_preview:[e,!1],theme:[r.JSONTheme,\"dark\"]})))}}r.JSON=p,p.__name__=\"JSON\",p.__module__=\"panel.models.markup\",p.init_JSON()},\n",
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break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"\\u25ba\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \"No properties\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \"[]\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \"\\u25ba\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n');var c=/(^\\d{1,4}[\\.|\\\\/|-]\\d{1,2}[\\.|\\\\/|-]\\d{1,4})(\\s*(?:0?[1-9]:[0-5]|1(?=[012])\\d:[0-5])\\d\\s*[ap]m)?$/,p=/\\d{2}:\\d{2}:\\d{2} GMT-\\d{4}/,j=/\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{3}Z/,h=window.requestAnimationFrame||function(t){return t(),0},u={hoverPreviewEnabled:!1,hoverPreviewArrayCount:100,hoverPreviewFieldCount:5,animateOpen:!0,animateClose:!0,theme:null,useToJSON:!0,sortPropertiesBy:null},g=function(){function t(t,e,r,n){void 0===e&&(e=1),void 0===r&&(r=u),this.json=t,this.open=e,this.config=r,this.key=n,this._isOpen=null,void 0===this.config.hoverPreviewEnabled&&(this.config.hoverPreviewEnabled=u.hoverPreviewEnabled),void 0===this.config.hoverPreviewArrayCount&&(this.config.hoverPreviewArrayCount=u.hoverPreviewArrayCount),void 0===this.config.hoverPreviewFieldCount&&(this.config.hoverPreviewFieldCount=u.hoverPreviewFieldCount),void 0===this.config.useToJSON&&(this.config.useToJSON=u.useToJSON),\"\"===this.key&&(this.key='\"\"')}return Object.defineProperty(t.prototype,\"isOpen\",{get:function(){return null!==this._isOpen?this._isOpen:this.open>0},set:function(t){this._isOpen=t},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"isDate\",{get:function(){return this.json instanceof Date||\"string\"===this.type&&(c.test(this.json)||j.test(this.json)||p.test(this.json))},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"isUrl\",{get:function(){return\"string\"===this.type&&0===this.json.indexOf(\"http\")},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"isArray\",{get:function(){return Array.isArray(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"isObject\",{get:function(){return s(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"isEmptyObject\",{get:function(){return!this.keys.length&&!this.isArray},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"isEmpty\",{get:function(){return this.isEmptyObject||this.keys&&!this.keys.length&&this.isArray},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useToJSON\",{get:function(){return this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return a(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(l(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(l(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(l(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(m).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return e+\":\"+m(t.json[e])})),n=e.length>=this.config.hoverPreviewFieldCount?\"\\u2026\":\"\";return\"{\"+r.join(\", \")+n+\"}\"},t.prototype.render=function(){this.element=d(\"div\",\"row\");var t=this.isObject?d(\"a\",\"toggler-link\"):d(\"span\");if(this.isObject&&!this.useToJSON&&t.appendChild(d(\"span\",\"toggler\")),this.hasKey&&t.appendChild(d(\"span\",\"key\",this.key+\":\")),this.isObject&&!this.useToJSON){var e=d(\"span\",\"value\"),r=d(\"span\"),n=d(\"span\",\"constructor-name\",this.constructorName);if(r.appendChild(n),this.isArray){var o=d(\"span\");o.appendChild(d(\"span\",\"bracket\",\"[\")),o.appendChild(d(\"span\",\"number\",this.json.length)),o.appendChild(d(\"span\",\"bracket\",\"]\")),r.appendChild(o)}e.appendChild(r),t.appendChild(e)}else{(e=this.isUrl?d(\"a\"):d(\"span\")).classList.add(l(this.type)),this.isDate&&e.classList.add(l(\"date\")),this.isUrl&&(e.classList.add(l(\"url\")),e.setAttribute(\"href\",this.json));var i=f(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var s=d(\"span\",\"preview-text\");s.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(s)}var a=d(\"div\",\"children\");return this.isObject&&a.classList.add(l(\"object\")),this.isArray&&a.classList.add(l(\"array\")),this.isEmpty&&a.classList.add(l(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(l(this.config.theme)),this.isOpen&&this.element.classList.add(l(\"open\")),this.element.appendChild(t),this.element.appendChild(a),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+l(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():h(i))};h(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+l(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():h(n))};h(n)}else e&&(e.innerHTML=\"\")},t}();r.default=g},\n",
-       "      \"1767172ffa\": function _(e,t,i,s,l){s();const n=e(\"tslib\"),o=e(\"@bokehjs/models/widgets/input_widget\"),a=(0,n.__importStar)(e(\"@bokehjs/styles/buttons.css\")),h=a,d=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/enums\");class r extends o.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,(()=>this._update_button_style())),this.connect(this.model.properties.filename.change,(()=>this._update_download())),this.connect(this.model.properties._transfers.change,(()=>this._handle_click())),this.connect(this.model.properties.label.change,(()=>this._update_label())),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()))}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=(0,d.input)({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}styles(){return[...super.styles(),a.default]}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],s=new ArrayBuffer(t.length),l=new Uint8Array(s);for(let e=0;e<t.length;e++)l[e]=t.charCodeAt(e);return new Blob([s],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){const e=h[`btn_${this.model.button_type}`];if(this.anchor_el.hasAttribute(\"class\")){const t=this.anchor_el.classList.item(1);t&&this.anchor_el.classList.replace(t,e)}else this.anchor_el.classList.add(h.btn),this.anchor_el.classList.add(e)}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=r,r.__name__=\"FileDownloadView\";class c extends o.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t,Nullable:i,String:s})=>({auto:[e,!1],clicks:[t,0],data:[i(s),null],label:[s,\"Download\"],filename:[i(s),null],button_type:[_.ButtonType,\"default\"],_transfers:[t,0]}))),this.override({title:\"\"})}}i.FileDownload=c,c.__name__=\"FileDownload\",c.__module__=\"panel.models.widgets\",c.init_FileDownload()},\n",
-       "      \"7b859fb3cf\": function _(e,t,i,a,n){a();const s=e(\"@bokehjs/models/widgets/markup\"),r=e(\"4c755983eb\");class l extends r.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=l,l.__name__=\"KaTeXView\";class d extends s.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=l}}i.KaTeX=d,d.__name__=\"KaTeX\",d.__module__=\"panel.models.katex\",d.init_KaTeX()},\n",
-       "      \"642aa56b24\": function _(o,e,t,i,a){i();const h=o(\"@bokehjs/core/view\"),n=o(\"@bokehjs/model\");class s extends h.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,(()=>this.update(\"pathname\"))),this.connect(this.model.properties.search.change,(()=>this.update(\"search\"))),this.connect(this.model.properties.hash.change,(()=>this.update(\"hash\"))),this.connect(this.model.properties.reload.change,(()=>this.update(\"reload\")))}update(o){this.model.reload&&\"reload\"!==o?(\"pathname\"==o&&(window.location.pathname=this.model.pathname),\"search\"==o&&(window.location.search=this.model.search),\"hash\"==o&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===o&&window.location.reload())}}t.LocationView=s,s.__name__=\"LocationView\";class c extends n.Model{constructor(o){super(o)}static init_Location(){this.prototype.default_view=s,this.define((({Boolean:o,String:e})=>({href:[e,\"\"],hostname:[e,\"\"],pathname:[e,\"\"],protocol:[e,\"\"],port:[e,\"\"],search:[e,\"\"],hash:[e,\"\"],reload:[o,!1]})))}}t.Location=c,c.__name__=\"Location\",c.__module__=\"panel.models.location\",c.init_Location()},\n",
-       "      \"0c21036737\": function _(e,t,a,i,s){i();const h=e(\"@bokehjs/models/widgets/markup\"),_=e(\"4c755983eb\");class n extends _.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=n,n.__name__=\"MathJaxView\";class u extends h.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=n}}a.MathJax=u,u.__name__=\"MathJax\",u.__module__=\"panel.models.mathjax\",u.init_MathJax()},\n",
-       "      \"84a772681d\": function _(e,t,i,s,n){s();const o=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/sources/column_data_source\"),c=e(\"4c755983eb\"),h=[\"perspective-viewer-material\",\"perspective-viewer-material-dark\",\"perspective-viewer-material-dense\",\"perspective-viewer-material-dense-dark\",\"perspective-viewer-vaporwave\"];function p(e){return!h.includes(e)}function a(e){return\"perspective-viewer-\"+e}class u extends c.PanelHTMLBoxView{constructor(){super(...arguments),this._updating=!1,this._config_listener=null,this._event_listener=null,this._loaded=!1}connect_signals(){super.connect_signals(),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.properties.toggle_config.change,(()=>{this.perspective_element.toggleConfig(),this.fix_layout()})),this.connect(this.model.properties.columns.change,(()=>{this.updateAttribute(\"columns\",this.model.columns,!0)})),this.connect(this.model.properties.computed_columns.change,(()=>{this.updateAttribute(\"computed-columns\",this.model.computed_columns,!0)})),this.connect(this.model.properties.column_pivots.change,(()=>{this.updateAttribute(\"column-pivots\",this.model.column_pivots,!0)})),this.connect(this.model.properties.row_pivots.change,(()=>{this.updateAttribute(\"row-pivots\",this.model.row_pivots,!0)})),this.connect(this.model.properties.aggregates.change,(()=>{this.updateAttribute(\"aggregates\",this.model.aggregates,!0)})),this.connect(this.model.properties.filters.change,(()=>{this.updateAttribute(\"filters\",this.model.filters,!0)})),this.connect(this.model.properties.sort.change,(()=>{this.updateAttribute(\"sort\",this.model.sort,!0)})),this.connect(this.model.properties.plugin.change,(()=>{this.updateAttribute(\"plugin\",this.model.plugin,!1)})),this.connect(this.model.properties.selectable.change,(()=>{this.updateAttribute(\"selectable\",this.model.selectable,!0)})),this.connect(this.model.properties.editable.change,(()=>{this.updateAttribute(\"editable\",this.model.editable,!0)})),this.connect(this.model.properties.theme.change,(()=>this.updateTheme())),null!=this.model.document&&(this._event_listener=e=>this.on_event(e),this.model.document.on_change(this._event_listener))}disconnect_signals(){null!=this._config_listener&&this.perspective_element.removeEventListener(\"perspective-config-update\",this._config_listener),this._config_listener=null,null!=this.model.document&&null!=this._event_listener&&this.model.document.remove_on_change(this._event_listener),this._event_listener=null,super.disconnect_signals()}render(){super.render(),this.worker=window.perspective.worker(),this.table=this.worker.table(this.model.schema),this.table.update(this.data);const e=(0,l.div)({class:\"pnx-perspective-viewer\",style:{zIndex:0}});(0,c.set_size)(e,this.model),e.innerHTML=this.getInnerHTML(),this.perspective_element=e.children[0],(0,c.set_size)(this.perspective_element,this.model),this.el.appendChild(e),this.perspective_element.load(this.table).then((()=>{this.update_config(),this._config_listener=()=>this.sync_config(),this.model.toggle_config&&this.perspective_element.toggleConfig(),this.perspective_element.addEventListener(\"perspective-config-update\",this._config_listener),this._loaded=!0}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout()}sync_config(){if(this._updating)return;const e=this.perspective_element.save(),t={};for(const i in e){const s=i.replace(\"-\",\"_\"),n=e[i];void 0===n||\"plugin\"==s&&\"debug\"===n||(t[s]=n)}this._updating=!0,this.model.setv(t),this._updating=!1}update_config(){if(this._updating)return;const e=this.perspective_element.save();for(const t in e){const i=t.replace(\"-\",\"_\");let s=this.model.property(i).get_value();e[t]!==s&&(this._updating=!0,\"plugin\"!==i&&(s=JSON.stringify(s)),this.perspective_element.setAttribute(t,s),this._updating=!1)}}on_event(e){null!=(e=e.hint)&&null!=e.column_source&&e.column_source.id==this.model.source.id&&(void 0!==e.rollover?this.stream(e.data,e.rollover):void 0!==e.patches&&this.patch(e.patches))}get data(){const e={};for(const t of this.model.source.columns())e[t]=this.model.source.get_array(t);return e}stream(e,t){this._loaded&&(null==t?this.table.update(e):this.table.replace(this.data))}patch(e){this.table.replace(this.data)}getInnerHTML(){let e=\"<perspective-viewer style='height:100%;width:100%;'\";var t,i;return e+=(t=\"class\",null==(i=a(this.model.theme))?\"\":(\"string\"!=typeof i&&(i=JSON.stringify(i)),\" \"+t+\"='\"+i+\"'\")),e+=\"></perspective-viewer>\",e}setData(){this._loaded&&this.table.load(this.data)}updateAttribute(e,t,i){if(this._updating)return;t!=this.perspective_element.save()[e]&&(i&&(t=JSON.stringify(t)),this._updating=!0,this.perspective_element.setAttribute(e,t),this._updating=!1)}updateTheme(){let e=this.perspective_element.getAttribute(\"class\"),t=this.toNewClassAttribute(e,this.model.theme);this.perspective_element.setAttribute(\"class\",t)}toNewClassAttribute(e,t){let i=[];return null!=e&&(i=e.split(\" \").filter(p)),i.push(a(t)),i.join(\" \")}}i.PerspectiveView=u,u.__name__=\"PerspectiveView\";class d extends o.HTMLBox{constructor(e){super(e)}static init_Perspective(){this.prototype.default_view=u,this.define((({Any:e,Array:t,Boolean:i,Ref:s,Nullable:n,String:o})=>({aggregates:[e],column_pivots:[n(t(o))],columns:[t(o)],computed_columns:[n(t(o))],editable:[n(i)],filters:[n(t(e))],plugin:[o],plugin_config:[e],row_pivots:[n(t(o))],selectable:[n(i)],schema:[e,{}],toggle_config:[i,!0],sort:[n(t(t(o)))],source:[s(r.ColumnDataSource)],theme:[o]})))}}i.Perspective=d,d.__name__=\"Perspective\",d.__module__=\"panel.models.perspective\",d.init_Perspective()},\n",
-       "      \"2e8044c920\": function _(e,t,i,s,o){s();const l=e(\"@bokehjs/core/kinds\"),n=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/models/widgets/widget\");function r(e){e.forEach((e=>e.style.borderStyle=\"inset\"))}function d(e){e.forEach((e=>e.style.borderStyle=\"outset\"))}class h extends a.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render())),this.connect(this.model.properties.loop_policy.change,(()=>this.set_loop_state(this.model.loop_policy))),this.connect(this.model.properties.disabled.change,(()=>this.toggle_disable())),this.connect(this.model.properties.show_loop_controls.change,(()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.groupEl.removeChild(this.loop_state)}))}toggle_disable(){this.sliderEl.disabled=this.model.disabled;for(const e of this.buttonEl.children){e.disabled=this.model.disabled}for(const e of this.loop_state.children)if(\"input\"==e.tagName){e.disabled=this.model.disabled}}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=(0,n.div)(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=(0,n.div)();this.buttonEl=e,e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",i=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",s=document.createElement(\"button\");s.style.cssText=t,s.appendChild(document.createTextNode(\"\\u2013\")),s.onclick=()=>this.slower(),e.appendChild(s);const o=document.createElement(\"button\");o.style.cssText=i,o.appendChild(document.createTextNode(\"\\u275a\\u25c0\\u25c0\")),o.onclick=()=>this.first_frame(),e.appendChild(o);const l=document.createElement(\"button\");l.style.cssText=i,l.appendChild(document.createTextNode(\"\\u275a\\u25c0\")),l.onclick=()=>this.previous_frame(),e.appendChild(l);const a=document.createElement(\"button\");a.style.cssText=i,a.appendChild(document.createTextNode(\"\\u25c0\")),a.onclick=()=>this.reverse_animation(),e.appendChild(a);const h=document.createElement(\"button\");h.style.cssText=i,h.appendChild(document.createTextNode(\"\\u275a\\u275a\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const c=document.createElement(\"button\");c.style.cssText=i,c.appendChild(document.createTextNode(\"\\u25b6\")),c.onclick=()=>this.play_animation(),e.appendChild(c);const p=document.createElement(\"button\");p.style.cssText=i,p.appendChild(document.createTextNode(\"\\u25b6\\u275a\")),p.onclick=()=>this.next_frame(),e.appendChild(p);const m=document.createElement(\"button\");m.style.cssText=i,m.appendChild(document.createTextNode(\"\\u25b6\\u25b6\\u275a\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{d([h,c]),r([a])},this._toogle_pause=()=>{d([a,c]),r([h])},this._toggle_play=()=>{d([a,h]),r([c])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.toggle_disable(),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var i=e[t];if(i.checked)return i.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,i=0;i<t.length;i++){var s=t[i];s.value==e&&(s.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval((()=>this.anim_step_forward()),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval((()=>this.anim_step_reverse()),this.model.interval))}}i.PlayerView=h,h.__name__=\"PlayerView\",i.LoopPolicy=(0,l.Enum)(\"once\",\"loop\",\"reflect\");class c extends a.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t})=>({direction:[t,0],interval:[t,500],start:[t,0],end:[t,10],step:[t,1],loop_policy:[i.LoopPolicy,\"once\"],value:[t,0],show_loop_controls:[e,!0]}))),this.override({width:400})}}i.Player=c,c.__name__=\"Player\",c.__module__=\"panel.models.widgets\",c.init_Player()},\n",
-       "      \"cb7735fd77\": function _(t,e,o,i,l){i();const r=t(\"@bokehjs/core/dom\"),s=t(\"@bokehjs/core/util/object\"),a=t(\"@bokehjs/core/util/eq\"),n=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"@bokehjs/models/sources/column_data_source\"),_=t(\"99a25e6992\"),h=t(\"990b5dd5c7\"),u=t(\"4c755983eb\"),d=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||(0,h.isPlainObject)(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class y extends u.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=(0,_.debounce)((()=>{this._relayouting=!1}),2e3,!1)}initialize(){super.initialize(),this._layout_wrapper=(0,r.div)({style:\"height: 100%; width: 100%;\"})}connect_signals(){super.connect_signals();const{data:t,data_sources:e,layout:o,relayout:i,restyle:l}=this.model.properties;this.on_change([t,e,o],(()=>{const t=this.model._render_count;setTimeout((()=>{this.model._render_count===t&&(this.model._render_count+=1)}),250)})),this.on_change([i],(()=>{null!=this.model.relayout&&(window.Plotly.relayout(this._layout_wrapper,this.model.relayout),this.model.relayout=null)})),this.on_change([l],(()=>{null!=this.model.restyle&&(window.Plotly.restyle(this._layout_wrapper,this.model.restyle.data,this.model.restyle.traces),this.model.restyle=null)})),this.connect(this.model.properties.viewport_update_policy.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties.viewport_update_throttle.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties._render_count.change,(()=>{this.plot()})),this.connect(this.model.properties.viewport.change,(()=>this._updateViewportFromProperty())),this.connect(this.model.properties.visibility.change,(()=>{this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\"}))}async render(){super.render(),this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\",this.el.appendChild(this._layout_wrapper),await this.plot(),window.Plotly.relayout(this._layout_wrapper,this.model.relayout)}_trace_data(){const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));return t}_layout_data(){const t=(0,h.deepCopy)(this.model.layout);if(this._relayouting){const{layout:e}=this._layout_wrapper;Object.keys(e).reduce(((e,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in e&&(t[o].range=e.range)}),{})}return t}_install_callbacks(){this._layout_wrapper.on(\"plotly_relayout\",(t=>{!0!==t._update_from_property&&(this.model.relayout_data=d(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())})),this._layout_wrapper.on(\"plotly_relayouting\",(()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())})),this._layout_wrapper.on(\"plotly_restyle\",(t=>{this.model.restyle_data=d(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()})),this._layout_wrapper.on(\"plotly_click\",(t=>{this.model.click_data=d(this._layout_wrapper,t,\"click\")})),this._layout_wrapper.on(\"plotly_hover\",(t=>{this.model.hover_data=d(this._layout_wrapper,t,\"hover\")})),this._layout_wrapper.on(\"plotly_selected\",(t=>{this.model.selected_data=d(this._layout_wrapper,t,\"selected\")})),this._layout_wrapper.on(\"plotly_clickannotation\",(t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t})),this._layout_wrapper.on(\"plotly_deselect\",(()=>{this.model.selected_data=null})),this._layout_wrapper.on(\"plotly_unhover\",(()=>{this.model.hover_data=null}))}async plot(){if(!window.Plotly)return;const t=this._trace_data(),e=this._layout_data();var o,i;this._reacting=!0,await window.Plotly.react(this._layout_wrapper,t,e,this.model.config),this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized?(o=this._layout_wrapper,(i=window.getComputedStyle(o).display)&&\"none\"!==i&&window.Plotly.Plots.resize(this._layout_wrapper)):this._install_callbacks(),this._reacting=!1,this._plotInitialized=!0}after_layout(){super.after_layout(),(0,u.set_size)(this.el,this.model),window.Plotly&&this._plotInitialized&&window.Plotly.Plots.resize(this._layout_wrapper)}_get_trace(t,e){const o=(0,s.clone)(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],a=o;for(let t of r.slice(0,-1))a=a[t];e&&1==r.length?a[s]=[l]:a[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce(((e,o)=>{if((0,a.isEqual)((0,h.get)(t,o),e))return!0;{let t=(0,h.deepCopy)(this.model.viewport);return t._update_from_property=!0,this._settingViewport=!0,window.Plotly.relayout(this.el,t).then((()=>{this._settingViewport=!1})),!1}}),{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=(0,h.deepCopy)(t[o].range))}(0,a.isEqual)(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=(0,h.throttle)((t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}),this.model.viewport_update_throttle)}}o.PlotlyPlotView=y,y.__name__=\"PlotlyPlotView\";class c extends n.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=y,this.define((({Array:t,Any:e,Boolean:o,Ref:i,String:l,Nullable:r,Number:s})=>({data:[t(e),[]],layout:[e,{}],config:[e,{}],data_sources:[t(i(p.ColumnDataSource)),[]],relayout:[r(e),{}],restyle:[r(e),{}],relayout_data:[e,{}],restyle_data:[t(e),[]],click_data:[e,{}],hover_data:[e,{}],clickannotation_data:[e,{}],selected_data:[e,{}],viewport:[e,{}],viewport_update_policy:[l,\"mouseup\"],viewport_update_throttle:[s,200],visibility:[o,!0],_render_count:[s,0]})))}}o.PlotlyPlot=c,c.__name__=\"PlotlyPlot\",c.__module__=\"panel.models.plotly\",c.init_PlotlyPlot()},\n",
-       "      \"990b5dd5c7\": function _(t,n,r,e,o){e();r.get=(t,n,r)=>{const e=r=>String.prototype.split.call(n,r).filter(Boolean).reduce(((t,n)=>null!=t?t[n]:t),t),o=e(/[,[\\]]+?/)||e(/[,[\\].]+?/);return void 0===o||o===t?r:o},r.throttle=function(t,n){var r=0;return function(){var e=Number(new Date);e-r>=n&&(t(),r=e)}},r.deepCopy=function t(n){var r;if(null==n||\"object\"!=typeof n)return n;if(n instanceof Array){r=[];for(var e=0,o=n.length;e<o;e++)r[e]=t(n[e]);return r}if(n instanceof Object){const r={};for(const e in n){const o=e;n.hasOwnProperty(o)&&(r[o]=t(n[o]))}return r}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},r.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
-       "      \"fd3806082d\": function _(e,s,t,i,o){i();const r=(0,e(\"tslib\").__importStar)(e(\"@bokehjs/core/properties\")),l=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"4c755983eb\");class n extends l.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,(()=>this.setCSS())),this.connect(this.model.properties.bar_color.change,(()=>this.setCSS())),this.connect(this.model.properties.css_classes.change,(()=>this.setCSS())),this.connect(this.model.properties.value.change,(()=>this.setValue())),this.connect(this.model.properties.max.change,(()=>this.setMax()))}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),(0,h.set_size)(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null==this.model.value?this.progressEl.value=0:this.model.value>=0?this.progressEl.value=this.model.value:this.model.value<0&&this.progressEl.removeAttribute(\"value\"),console.log(this.progressEl)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new h.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=n,n.__name__=\"ProgressView\";class c extends l.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=n,this.define({active:[r.Boolean,!0],bar_color:[r.String,\"primary\"],style:[r.Any,{}],max:[r.Number,100],value:[r.Any,null]})}}t.Progress=c,c.__name__=\"Progress\",c.__module__=\"panel.models.widgets\",c.init_Progress()},\n",
-       "      \"6895629dfc\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/core/dom\"),n=t(\"@bokehjs/models/layouts/html_box\"),r=t(\"4c755983eb\");class h extends r.PanelHTMLBoxView{initialize(){super.initialize(),this._container=(0,s.div)({})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.quill.enable(!this.model.disabled))),this.connect(this.model.properties.text.change,(()=>{this._editing||(this._editing=!0,this.quill.setContents([]),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this._editing=!1)}));const{mode:t,toolbar:e}=this.model.properties;this.on_change([t,e],(()=>{this.render(),this._layout_toolbar()}))}_layout_toolbar(){if(null==this._toolbar)this.el.style.removeProperty(\"padding-top\");else{const t=this._toolbar.getBoundingClientRect().height+1;this.el.style.paddingTop=t+\"px\",this._toolbar.style.marginTop=-t+\"px\"}}render(){super.render(),this.el.appendChild(this._container);const t=\"bubble\"===this.model.mode?\"bubble\":\"snow\";this.quill=new window.Quill(this._container,{modules:{toolbar:this.model.toolbar},placeholder:this.model.placeholder,theme:t}),this._editor=this.el.querySelector(\".ql-editor\"),this._toolbar=this.el.querySelector(\".ql-toolbar\"),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.on(\"text-change\",(()=>{this._editing||(this._editing=!0,this.model.text=this._editor.innerHTML,this._editing=!1)}))}after_layout(){super.after_layout(),this._layout_toolbar()}}i.QuillInputView=h,h.__name__=\"QuillInputView\";class a extends n.HTMLBox{constructor(t){super(t)}static init_QuillInput(){this.prototype.default_view=h,this.define((({Any:t,Boolean:e,String:i})=>({mode:[i,\"toolbar\"],placeholder:[i,\"\"],readonly:[e,!1],text:[i,\"\"],toolbar:[t,null]}))),this.override({height:300})}}i.QuillInput=a,a.__name__=\"QuillInput\",a.__module__=\"panel.models.quill\",a.init_QuillInput()},\n",
-       "      \"eb3a49319b\": function _(e,t,n,s,i){s();const o=e(\"6f11f2ef27\"),l=e(\"4c02a9b43f\"),r=e(\"b3f51db71c\"),c=e(\"@bokehjs/core/build_views\"),a=e(\"@bokehjs/core/util/types\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/util/color\"),u=e(\"f1971f81bf\"),m=e(\"3329d4aa5b\"),p=e(\"c424a3bd17\"),f=e(\"4c755983eb\");function v(e,t,n){const s={};for(const e of n)s[`{${e}}`]=\"(.*)\";const i=[];let o=\"^\"+(e.replace(/[-\\/\\\\^$*+?.()|[\\]]/g,\"\\\\$&\")+\"$\");let l,r,c;for(const t in s)if(r=e.indexOf(t),r>-1){for(o=o.replace(t,s[t]),c={index:r,token:t},l=0;l<i.length&&i[l].index<r;l++);l<i.length?i.splice(l,0,c):i.push(c)}o=o.replace(/\\{[^{}]+\\}/g,\".*\");var a=new RegExp(o).exec(t);let d=null;if(a)for(d={},l=0;l<i.length;l++)d[i[l].token.slice(1,-1)]=a[l+1];return d}class g extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._parent=null,this._changing=!1,this._event_listeners={},this._mutation_observers=[],this._script_fns={},this._state={}}initialize(){super.initialize(),this.html=(0,p.htmlDecode)(this.model.html)||this.model.html}_recursive_connect(e,t,n){for(const s in e.properties){let i;i=n.length?`${n}.${s}`:s;const o=e[s];null!=o&&(null!=o.properties&&this._recursive_connect(o,!0,i),this.connect(e.properties[s].change,(()=>{if(t)for(const t in this.model.children)if(this.model.children[t]==s){let n=e[s];return(0,a.isArray)(n)||(n=[n]),this._render_node(t,n),void this.invalidate_layout()}this._changing||(this._update(i),this.invalidate_layout())})))}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(async()=>{this.html=(0,p.htmlDecode)(this.model.html)||this.model.html,await this.rebuild(),this.invalidate_layout()})),this._recursive_connect(this.model.data,!0,\"\"),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()})),this.connect_scripts()}connect_scripts(){const e=this.model.data.id;for(let t in this.model.scripts){const n=this.model.scripts[t];let s,i=this.model.data;if(t.indexOf(\".\")>=0){const e=t.split(\".\");s=e[e.length-1];for(const t of e.slice(0,-1))i=i[t]}else s=t;for(const o of n){const n=(0,p.htmlDecode)(o)||o,l=this._render_script(n,e);this._script_fns[t]=l;const r=i.properties[s];null!=r&&this.connect(r.change,(()=>{this._changing||this.run_script(t)}))}}}run_script(e,t=!1){const n=this._script_fns[e];if(void 0===n)return void(t||console.log(`Script '${e}' could not be found.`));const s={get_records:(e,t)=>this.get_records(e,t)};for(const e in this._script_fns)s[e]=()=>this.run_script(e);return n(this.model,this.model.data,this._state,this,(e=>this.run_script(e)),s)}get_records(e,t=!0){return(0,u.dict_to_records)(this.model.data[e],t)}disconnect_signals(){super.disconnect_signals(),this._remove_event_listeners(),this._remove_mutation_observers(),this.run_script(\"remove\",!0)}get child_models(){const e=[];for(const t in this.model.children)for(const n of this.model.children[t])\"string\"!=typeof n&&e.push(n);return e}async build_child_views(){await(0,c.build_views)(this._child_views,this.child_models,{parent:null})}compute_layout(){this.root!=this?super.compute_layout():(this.update_position(),this.after_layout(),this.notify_finished())}after_layout(){for(const e of this.child_views)e.after_layout();this.run_script(\"after_layout\",!0),this._has_finished=!0}update_layout(){for(const e of this.child_views)this._align_view(e),e.compute_viewport(),e.update_layout(),e.compute_layout();this.root!=this&&this._update_layout()}_align_view(e){const{align:t}=e.model;let n,s;(0,a.isArray)(t)?[n,s]=t:n=s=t,\"center\"===n?(e.el.style.marginLeft=\"auto\",e.el.style.marginRight=\"auto\"):\"end\"===n&&(e.el.style.marginLeft=\"auto\"),\"center\"===s?(e.el.style.marginTop=\"auto\",e.el.style.marginBottom=\"auto\"):\"end\"===s&&(e.el.style.marginTop=\"auto\")}render(){(0,h.empty)(this.el);const{background:e}=this.model;this.el.style.backgroundColor=null!=e?(0,_.color2css)(e):\"\",(0,h.classes)(this.el).clear().add(...this.css_classes()),this._update(),this._render_children(),this._setup_mutation_observers(),this._setup_event_listeners(),this.run_script(\"render\",!0)}_send_event(e,t,n){let s=(0,m.serializeEvent)(n);s.type=t,this.model.trigger_event(new p.DOMEvent(e,s))}_render_child(e,t){const n=this._child_views.get(e);null==n?t.innerHTML=(0,p.htmlDecode)(e)||e:(n._parent=this,n.renderTo(t))}resize_layout(){null!=this._parent&&this._parent.resize_layout(),this.root!=this&&super.resize_layout()}invalidate_layout(){null!=this._parent&&this._parent.invalidate_layout(),this.root!=this&&super.invalidate_layout()}update_position(){if(this.root!=this)return void super.update_position();this.el.style.display=this.model.visible?\"block\":\"none\",(0,f.set_size)(this.el,this.model);let{margin:e}=this.model,t=null;if(null==e)this.el.style.margin=\"\";else{if((0,a.isNumber)(e))t={top:e,right:e,bottom:e,left:e};else if(2==e.length){const[n,s]=e;t={top:n,right:s,bottom:n,left:s}}else{const[n,s,i,o]=e;t={top:n,right:s,bottom:i,left:o}}const{top:n,right:s,bottom:i,left:o}=t;this.el.style.padding=`${n}px ${s}px ${i}px ${o}px`}for(const e of this.child_views)e.update_position()}_render_node(e,t){const n=this.model.data.id;if(this.model.looped.indexOf(e)>-1)for(let s=0;s<t.length;s++){let i=document.getElementById(`${e}-${s}-${n}`);null!=i?this._render_child(t[s],i):console.warn(`DOM node '${e}-${s}-${n}' could not be found. Cannot render children.`)}else{let s=document.getElementById(`${e}-${n}`);if(null==s)return void console.warn(`DOM node '${e}-${n}' could not be found. Cannot render children.`);for(const e of t)this._render_child(e,s)}}_render_children(){for(const e in this.model.children){let t=this.model.children[e];\"string\"==typeof t&&(t=this.model.data[t],(0,a.isArray)(t)||(t=[t])),this._render_node(e,t)}}_render_html(e,t={}){let n=e,s=\"\";const i=[];for(const e in this.model.callbacks)for(const t of this.model.callbacks[e]){const[o,l]=t;let r;if(n=n.replace(\"${\"+l,\"$--{\"+l),l.startsWith(\"script(\")){const e=l.replace(\"('\",\"_\").replace(\"')\",\"\").replace('(\"',\"_\").replace('\")',\"\").replace(\"-\",\"_\"),t=e.replace(\"script_\",\"\");n=n.replace(l,e),r=`\\n          const ${e} = (event) => {\\n            view._state.event = event\\n            view.run_script(\"${t}\")\\n            delete view._state.event\\n          }\\n          `}else r=`\\n          const ${l} = (event) => {\\n            view._send_event(\"${e}\", \"${o}\", event)\\n          }\\n          `;i.indexOf(l)>-1||(i.push(l),s+=r)}return n=n.replaceAll(\"${model.\",\"$-{model.\").replaceAll(\"${\",\"${data.\").replaceAll(\"$-{model.\",\"${model.\").replaceAll(\"$--{\",\"${\"),new Function(\"view, model, data, state, html, useCallback\",s+\"return html`\"+n+\"`;\")(this,this.model,this.model.data,t,r.html,l.useCallback)}_render_script(e,t){const n=[];for(const s of this.model.nodes){if(s in this.model.children&&\"string\"!=typeof this.model.children[s])continue;const i=s.replace(\"-\",\"_\");if(-1===e.indexOf(i))continue;const o=`\\n      const ${i} = document.getElementById('${s}-${t}')\\n      if (${i} == null) {\\n        console.warn(\"DOM node '${s}' could not be found. Cannot execute callback.\")\\n        return\\n      }\\n      `;n.push(o)}return n.push(\"\\n    if (state.event !== undefined) {\\n      const event = state.event\\n    }\\n    \"),n.push(e),new Function(\"model, data, state, view, script, self\",n.join(\"\\n\"))}_remove_mutation_observers(){for(const e of this._mutation_observers)e.disconnect();this._mutation_observers=[]}_setup_mutation_observers(){const e=this.model.data.id;for(const t in this.model.attrs){const n=document.getElementById(`${t}-${e}`);if(null==n){console.warn(`DOM node '${t}-${e}' could not be found. Cannot set up MutationObserver.`);continue}const s=new MutationObserver((()=>{this._update_model(n,t)}));s.observe(n,{attributes:!0}),this._mutation_observers.push(s)}}_remove_event_listeners(){const e=this.model.data.id;for(const t in this._event_listeners){const n=document.getElementById(`${t}-${e}`);if(null!=n)for(const e in this._event_listeners[t]){const s=this._event_listeners[t][e];n.removeEventListener(e,s)}}this._event_listeners={}}_setup_event_listeners(){const e=this.model.data.id;for(const t in this.model.events){const n=document.getElementById(`${t}-${e}`);if(null==n){console.warn(`DOM node '${t}-${e}' could not be found. Cannot subscribe to DOM events.`);continue}const s=this.model.events[t];for(const e in s){const i=i=>{this._send_event(t,e,i),t in this.model.attrs&&s[e]&&this._update_model(n,t)};n.addEventListener(e,i),t in this._event_listeners||(this._event_listeners[t]={}),this._event_listeners[t][e]=i}}}_update(e=null){if(null==e||this.html.indexOf(`\\${${e}}`)>-1){const e=this._render_html(this.html);try{this._changing=!0,(0,o.render)(e,this.el)}finally{this._changing=!1}}}_update_model(e,t){if(this._changing)return;const n={};for(const s of this.model.attrs[t]){const[i,o,l]=s;let r=\"children\"===i?e.innerHTML:e[i];if(1===o.length&&`{${o[0]}}`===l)n[o[0]]=r;else if(\"string\"==typeof r)if(r=v(l,r,o),null==r)console.warn(`Could not resolve parameters in ${t} element ${i} attribute value ${r}.`);else for(const e in r)void 0===r[e]?console.warn(`Could not resolve ${e} in ${t} element ${i} attribute value ${r}.`):n[e]=r[e]}try{this._changing=!0,this.model.data.setv(function(e){const t={};for(const n in e){let s=e[n];\"string\"!=typeof s?s=s:\"\"===s||\"NaN\"!==s&&isNaN(Number(s))?\"false\"!==s&&\"true\"!==s||(s=\"true\"===s):s=Number(s),t[n]=s}return t}(n))}catch(e){console.log(\"Could not serialize\",n)}finally{this._changing=!1}}}n.ReactiveHTMLView=g,g.__name__=\"ReactiveHTMLView\";class $ extends d.HTMLBox{constructor(e){super(e)}static init_ReactiveHTML(){this.prototype.default_view=g,this.define((({Array:e,Any:t,String:n})=>({attrs:[t,{}],callbacks:[t,{}],children:[t,{}],data:[t],events:[t,{}],html:[n,\"\"],looped:[e(n),[]],nodes:[e(n),[]],scripts:[t,{}]})))}}n.ReactiveHTML=$,$.__name__=\"ReactiveHTML\",$.__module__=\"panel.models.reactive_html\",$.init_ReactiveHTML()},\n",
-       "      \"5ed2116e26\": function _(e,t,s,i,n){i();const l=e(\"tslib\"),o=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/util/types\"),r=e(\"@bokehjs/models/widgets/input_widget\"),h=(0,l.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\"));class d extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,s;return(0,c.isString)(e)?t=s=e:[t,s]=e,(0,o.option)({value:t},s)}));this.select_el=(0,o.select)({multiple:!1,class:h.input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=d,d.__name__=\"SingleSelectView\";class a extends r.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=d,this.define((({Any:e,Array:t,Int:s,String:i})=>({value:[i,\"\"],options:[t(e),[]],size:[s,4]})))}}s.SingleSelect=a,a.__name__=\"SingleSelect\",a.__module__=\"panel.models.widgets\",a.init_SingleSelect()},\n",
-       "      \"aaa48703af\": function _(t,e,i,o,n){o();const s=(0,t(\"tslib\").__importStar)(t(\"@bokehjs/core/properties\")),r=t(\"@bokehjs/models/layouts/html_box\"),h=\"Click to START the speech recognition.\",{webkitSpeechRecognition:a}=window,{webkitSpeechGrammarList:l}=window;class c extends r.HTMLBoxView{initialize(){var t,e;super.initialize(),this.recognition=new a,this.recognition.lang=this.model.lang,this.recognition.continuous=this.model.continuous,this.recognition.interimResults=this.model.interim_results,this.recognition.maxAlternatives=this.model.max_alternatives,this.recognition.serviceURI=this.model.service_uri,this.setGrammars(),this.recognition.onresult=t=>{this.model.results=function(t){const e=[];for(let o of t){let t=[],n={is_final:o.isFinal,alternatives:t};for(let e=0;e<o.length;e++){let n={confidence:(i=o[e].confidence,Math.round(100*(i+Number.EPSILON))/100),transcript:o[e].transcript};t.push(n)}n.alternatives=t,e.push(n)}var i;return e}(t.results)},this.recognition.onerror=t=>{console.log(\"SpeechToText Error\"),console.log(t)},this.recognition.onnomatch=t=>{console.log(\"SpeechToText No Match\"),console.log(t)},this.recognition.onaudiostart=()=>this.model.audio_started=!0,this.recognition.onaudioend=()=>this.model.audio_started=!1,this.recognition.onsoundstart=()=>this.model.sound_started=!0,this.recognition.onsoundend=()=>this.model.sound_started=!1,this.recognition.onspeechstart=()=>this.model.speech_started=!0,this.recognition.onspeechend=()=>this.model.speech_started=!1,this.recognition.onstart=()=>{this.buttonEl.onclick=()=>{this.recognition.stop()},this.buttonEl.innerHTML=this.iconStarted(),this.buttonEl.setAttribute(\"title\",\"Click to STOP the speech recognition.\"),this.model.started=!0},this.recognition.onend=()=>{this.buttonEl.onclick=()=>{this.recognition.start()},this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.setAttribute(\"title\",h),this.model.started=!1},this.buttonEl=(t=`<button class=\"bk bk-btn bk-btn-${this.model.button_type}\" type=\"button\" title=\"${h}\"></button>`,e=document.createElement(\"template\"),t=t.trim(),e.innerHTML=t,e.content.firstChild),this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.onclick=()=>this.recognition.start()}iconStarted(){return\"\"!==this.model.button_started?this.model.button_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic\" viewBox=\"0 0 16 16\">\\n  <path fill-rule=\"evenodd\" d=\"M3.5 6.5A.5.5 0 0 1 4 7v1a4 4 0 0 0 8 0V7a.5.5 0 0 1 1 0v1a5 5 0 0 1-4.5 4.975V15h3a.5.5 0 0 1 0 1h-7a.5.5 0 0 1 0-1h3v-2.025A5 5 0 0 1 3 8V7a.5.5 0 0 1 .5-.5z\"/>\\n  <path fill-rule=\"evenodd\" d=\"M10 8V3a2 2 0 1 0-4 0v5a2 2 0 1 0 4 0zM8 0a3 3 0 0 0-3 3v5a3 3 0 0 0 6 0V3a3 3 0 0 0-3-3z\"/>\\n</svg>'}iconNotStarted(){return\"\"!==this.model.button_not_started?this.model.button_not_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic-mute\" viewBox=\"0 0 16 16\">\\n<path fill-rule=\"evenodd\" d=\"M12.734 9.613A4.995 4.995 0 0 0 13 8V7a.5.5 0 0 0-1 0v1c0 .274-.027.54-.08.799l.814.814zm-2.522 1.72A4 4 0 0 1 4 8V7a.5.5 0 0 0-1 0v1a5 5 0 0 0 4.5 4.975V15h-3a.5.5 0 0 0 0 1h7a.5.5 0 0 0 0-1h-3v-2.025a4.973 4.973 0 0 0 2.43-.923l-.718-.719zM11 7.88V3a3 3 0 0 0-5.842-.963l.845.845A2 2 0 0 1 10 3v3.879l1 1zM8.738 9.86l.748.748A3 3 0 0 1 5 8V6.121l1 1V8a2 2 0 0 0 2.738 1.86zm4.908 3.494l-12-12 .708-.708 12 12-.708.707z\"/>\\n</svg>'}setIcon(){this.model.started?this.buttonEl.innerHTML=this.iconStarted():this.buttonEl.innerHTML=this.iconNotStarted()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.start.change,(()=>{this.model.start=!1,this.recognition.start()})),this.connect(this.model.properties.stop.change,(()=>{this.model.stop=!1,this.recognition.stop()})),this.connect(this.model.properties.abort.change,(()=>{this.model.abort=!1,this.recognition.abort()})),this.connect(this.model.properties.grammars.change,(()=>this.setGrammars())),this.connect(this.model.properties.lang.change,(()=>this.recognition.lang=this.model.lang)),this.connect(this.model.properties.continuous.change,(()=>this.recognition.continuous=this.model.continuous)),this.connect(this.model.properties.interim_results.change,(()=>this.recognition.interimResults=this.model.interim_results)),this.connect(this.model.properties.max_alternatives.change,(()=>this.recognition.maxAlternatives=this.model.max_alternatives)),this.connect(this.model.properties.service_uri.change,(()=>this.recognition.serviceURI=this.model.service_uri)),this.connect(this.model.properties.button_type.change,(()=>this.buttonEl.className=`bk bk-btn bk-btn-${this.model.button_type}`)),this.connect(this.model.properties.button_hide.change,(()=>this.render()));const{button_not_started:t,button_started:e}=this.model.properties;this.on_change([t,e],(()=>this.setIcon()))}setGrammars(){this.recognition.grammars=function(t){if(t){var e=new l;for(let i of t)i.src?e.addFromString(i.src,i.weight):i.uri&&e.addFromURI(i.uri,i.weight);return e}return null}(this.model.grammars)}render(){super.render(),this.model.button_hide||this.el.appendChild(this.buttonEl)}}i.SpeechToTextView=c,c.__name__=\"SpeechToTextView\";class d extends r.HTMLBox{constructor(t){super(t)}static init_SpeechToText(){this.prototype.default_view=c,this.define({start:[s.Boolean,!1],stop:[s.Boolean,!1],abort:[s.Boolean,!1],grammars:[s.Array,[]],lang:[s.String,\"\"],continuous:[s.Boolean,!1],interim_results:[s.Boolean,!1],max_alternatives:[s.Number,1],service_uri:[s.String],started:[s.Boolean,!1],audio_started:[s.Boolean,!1],sound_started:[s.Boolean,!1],speech_started:[s.Boolean,!1],button_type:[s.String,\"light\"],button_hide:[s.Boolean,!1],button_not_started:[s.String,\"\"],button_started:[s.String,\"\"],results:[s.Array,[]]})}}i.SpeechToText=d,d.__name__=\"SpeechToText\",d.__module__=\"panel.models.speech_to_text\",d.init_SpeechToText()},\n",
-       "      \"bfa46a5f19\": function _(e,t,s,a,i){a();const o=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/core/util/array\"),n=e(\"@bokehjs/model\"),h=e(\"@bokehjs/protocol/receiver\");class _ extends o.View{renderTo(){}}s.StateView=_,_.__name__=\"StateView\";class r extends n.Model{constructor(e){super(e),this._receiver=new h.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let a=this.state;for(const e of this.values)a=a[e];a===t?this.apply_state(s):this._cache[a]&&this.apply_state(this._cache[a])}set_state(e,t){let s=(0,c.copy)(this.values);s[this.widgets[e.id]]=t;let a=this.state;for(const e of s)a=a[e];var i,o,n;this.values=s,this.json?this._cache[a]?this.apply_state(this._cache[a]):(i=a,o=e=>this._receive_json(e,a),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",i,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&o(n.responseText)},n.send(null)):this.apply_state(a)}static init_State(){this.prototype.default_view=_,this.define((({Any:e,Boolean:t})=>({json:[t,!1],state:[e,{}],widgets:[e,{}],values:[e,[]]})))}}s.State=r,r.__name__=\"State\",r.__module__=\"panel.models.state\",r.init_State()},\n",
-       "      \"edf66f5228\": function _(e,t,n,i,s){i();const r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/core/bokeh_events\"),l=e(\"4c755983eb\");class h extends a.ModelEvent{constructor(e){super(),this.key=e,this.event_name=\"keystroke\"}_to_json(){return{model:this.origin,key:this.key}}}n.KeystrokeEvent=h,h.__name__=\"KeystrokeEvent\";class d extends l.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.output.change,this.write),this.connect(this.model.properties._clears.change,this.clear)}render(){super.render(),this.container=(0,o.div)({class:\"terminal-container\"}),(0,l.set_size)(this.container,this.model),this.term=this.getNewTerminal(),this.term.onData((e=>{this.handleOnData(e)})),this.webLinksAddon=this.getNewWebLinksAddon(),this.term.loadAddon(this.webLinksAddon),this.term.open(this.container),this.term.onRender((()=>{this._rendered||this.fit()})),this.write(),this.el.appendChild(this.container)}getNewTerminal(){const e=window;return e.Terminal?new e.Terminal(this.model.options):new e.xtermjs.Terminal(this.model.options)}getNewWebLinksAddon(){return new window.WebLinksAddon.WebLinksAddon}handleOnData(e){this.model.trigger_event(new h(e))}write(){const e=this.model.output;if(null==e||!e.length)return;const t=e.replace(/\\r?\\n/g,\"\\r\\n\");this.term.write(t)}clear(){this.term.clear()}fit(){const e=this.layout.inner_bbox.width,t=this.layout.inner_bbox.height,n=this.term._core._renderService,i=n.dimensions.actualCellWidth,s=n.dimensions.actualCellHeight;if(0===i||0===s)return;const r=Math.max(2,Math.floor(e/i)),o=Math.max(1,Math.floor(t/s));this.term.rows===o&&this.term.cols===r||this.term.resize(r,o),this.model.ncols=r,this.model.nrows=o,this._rendered=!0}after_layout(){super.after_layout(),this.fit()}resize_layout(){super.resize_layout(),this.fit()}}n.TerminalView=d,d.__name__=\"TerminalView\";class m extends r.HTMLBox{constructor(e){super(e)}static init_Terminal(){this.prototype.default_view=d,this.define((({Any:e,Int:t,String:n})=>({_clears:[t,0],options:[e,{}],output:[n],ncols:[t],nrows:[t]})))}}n.Terminal=m,m.__name__=\"Terminal\",m.__module__=\"panel.models.terminal\",m.init_Terminal()},\n",
-       "      \"33cd2c254e\": function _(e,s,i,t,n){t();const h=e(\"@bokehjs/models/layouts/html_box\");function o(e){var s=[];for(let t of e){var i={default:t.default,lang:t.lang,local_service:t.localService,name:t.name,voice_uri:t.voiceURI};s.push(i)}return s}class c extends h.HTMLBoxView{initialize(){super.initialize(),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending,this.model.speaking=speechSynthesis.speaking,this._callback=window.setInterval((function(){!speechSynthesis.paused&&speechSynthesis.speaking&&window.speechSynthesis.resume()}),1e4);const e=()=>{\"undefined\"!=typeof speechSynthesis&&(this.voices=speechSynthesis.getVoices(),this.voices&&(this.model.voices=o(this.voices)))};e(),\"undefined\"!=typeof speechSynthesis&&void 0!==speechSynthesis.onvoiceschanged&&(speechSynthesis.onvoiceschanged=e)}remove(){null!=this._callback&&clearInterval(this._callback),speechSynthesis.cancel(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.speak.change,(()=>{this.speak()})),this.connect(this.model.properties.pause.change,(()=>{this.model.pause=!1,speechSynthesis.pause()})),this.connect(this.model.properties.resume.change,(()=>{this.model.resume=!1,speechSynthesis.resume()})),this.connect(this.model.properties.cancel.change,(()=>{this.model.cancel=!1,speechSynthesis.cancel()}))}speak(){let e=new SpeechSynthesisUtterance(this.model.speak.text);if(e.pitch=this.model.speak.pitch,e.volume=this.model.speak.volume,e.rate=this.model.speak.rate,this.model.voices)for(let s of this.voices)s.name===this.model.speak.voice&&(e.voice=s);e.onpause=()=>this.model.paused=!0,e.onstart=()=>{this.model.speaking=!0,this.model.paused=!1,this.model.pending=speechSynthesis.pending},e.onresume=()=>this.model.paused=!1,e.onend=()=>{this.model.speaking=!1,this.model.paused=!1,this.model.pending=speechSynthesis.pending},speechSynthesis.speak(e),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending}render(){super.render(),this.model.voices||(this.model.voices=o(this.voices)),null!=this.model.speak&&this.model.speak.text&&this.speak()}}i.TextToSpeechView=c,c.__name__=\"TextToSpeechView\";class p extends h.HTMLBox{constructor(e){super(e)}static init_TextToSpeech(){this.prototype.default_view=c,this.define((({Any:e,Array:s,Boolean:i})=>({paused:[i,!1],pending:[i,!1],speaking:[i,!1],voices:[s(e),[]],cancel:[i,!1],pause:[i,!1],resume:[i,!1],speak:[e,{}]})))}}i.TextToSpeech=p,p.__name__=\"TextToSpeech\",p.__module__=\"panel.models.text_to_speech\",p.init_TextToSpeech()},\n",
-       "      \"effe070807\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/models/layouts/html_box\"),h=t(\"@bokehjs/core/build_views\"),a=t(\"@bokehjs/models/plots\"),n=t(\"@bokehjs/models/glyphs\"),d=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/models/sources/column_data_source\"),c=t(\"@bokehjs/models/formatters\");class p extends s.HTMLBoxView{initialize(){super.initialize(),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%;\"}),this.titleDiv=(0,d.div)({style:\"font-size: 1em; word-wrap: break-word;\"}),this.valueDiv=(0,d.div)({style:\"font-size: 2em\"}),this.value2Div=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.changeDiv=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.textDiv=(0,d.div)({},this.titleDiv,this.valueDiv,(0,d.div)({},this.changeDiv,this.value2Div)),this.updateTitle(),this.updateValue(),this.updateValue2(),this.updateValueChange(),this.updateTextFontSize(),this.plotDiv=(0,d.div)({}),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%\"},this.textDiv,this.plotDiv),this.updateLayout()}connect_signals(){super.connect_signals();const{pos_color:t,neg_color:e}=this.model.properties;this.on_change([t,e],(()=>this.updateValueChange()));const{plot_color:i,plot_type:l,width:o,height:s,sizing_mode:h}=this.model.properties;this.on_change([i,l,o,s,h],(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.updateTitle(!0))),this.connect(this.model.properties.value.change,(()=>this.updateValue(!0))),this.connect(this.model.properties.value_change.change,(()=>this.updateValue2(!0))),this.connect(this.model.properties.layout.change,(()=>this.updateLayout()))}async render(){super.render(),this.el.appendChild(this.containerDiv),await this.setPlot()}async setPlot(){this.plot=new a.Plot({background_fill_color:null,border_fill_color:null,outline_line_color:null,min_border:0,sizing_mode:\"stretch_both\",toolbar_location:null});var t=this.model.source;if(\"line\"===this.model.plot_type){var e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:4,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else if(\"step\"===this.model.plot_type){var i=new n.Step({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(i,t)}else if(\"area\"===this.model.plot_type){var l=new n.VArea({x:{field:this.model.plot_x},y1:{field:this.model.plot_y},y2:0,fill_color:this.model.plot_color,fill_alpha:.5});this.plot.add_glyph(l,t);e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else{var o=new n.VBar({x:{field:this.model.plot_x},top:{field:this.model.plot_y},width:.9,line_color:null,fill_color:this.model.plot_color});this.plot.add_glyph(o,t)}const s=await(0,h.build_view)(this.plot);this.plotDiv.innerHTML=\"\",s.renderTo(this.plotDiv)}after_layout(){super.after_layout(),this.updateTextFontSize()}updateTextFontSize(){this.updateTextFontSizeColumn()}updateTextFontSizeColumn(){let t=this.containerDiv.clientWidth,e=this.containerDiv.clientHeight;\"column\"===this.model.layout?e=Math.round(e/2):t=Math.round(t/2);const i=t/this.model.title.length*2,l=t/(2*this._value_format.length)*1.8,o=t/(this._value_change_format.length+1)*2,s=e/6,h=Math.min(i,l,o,s);this.textDiv.style.fontSize=Math.trunc(h)+\"px\",this.textDiv.style.lineHeight=\"1.3\"}updateTitle(t=!1){this.titleDiv.innerText=this.model.title,t&&this.updateTextFontSize()}updateValue(t=!1){this._value_format=this.model.formatter.doFormat([this.model.value],{loc:0})[0],this.valueDiv.innerText=this._value_format,t&&this.updateTextFontSize()}updateValue2(t=!1){this._value_change_format=this.model.change_formatter.doFormat([this.model.value_change],{loc:0})[0],this.value2Div.innerText=this._value_change_format,this.updateValueChange(),t&&this.updateTextFontSize()}updateValueChange(){this.model.value_change>0?(this.changeDiv.innerHTML=\"&#9650;\",this.changeDiv.style.color=this.model.pos_color):this.model.value_change<0?(this.changeDiv.innerHTML=\"&#9660;\",this.changeDiv.style.color=this.model.neg_color):(this.changeDiv.innerHTML=\"&nbsp;\",this.changeDiv.style.color=\"inherit\")}updateLayout(){\"column\"===this.model.layout?(this.containerDiv.style.display=\"block\",this.textDiv.style.height=\"50%\",this.textDiv.style.width=\"100%\",this.plotDiv.style.height=\"50%\",this.plotDiv.style.width=\"100%\"):(this.containerDiv.style.display=\"flex\",this.textDiv.style.height=\"100%\",this.textDiv.style.width=\"\",this.plotDiv.style.height=\"100%\",this.plotDiv.style.width=\"\",this.textDiv.style.flex=\"1\",this.plotDiv.style.flex=\"1\"),this._has_finished&&this.invalidate_layout()}}i.TrendIndicatorView=p,p.__name__=\"TrendIndicatorView\";class _ extends s.HTMLBox{constructor(t){super(t)}static init_TrendIndicator(){this.prototype.default_view=p,this.define((({Number:t,String:e,Ref:i})=>({description:[e,\"\"],formatter:[i(c.TickFormatter),()=>new c.BasicTickFormatter],change_formatter:[i(c.TickFormatter),()=>new c.NumeralTickFormatter],layout:[e,\"column\"],source:[i(r.ColumnDataSource)],plot_x:[e,\"x\"],plot_y:[e,\"y\"],plot_color:[e,\"#428bca\"],plot_type:[e,\"bar\"],pos_color:[e,\"#5cb85c\"],neg_color:[e,\"#d9534f\"],title:[e,\"\"],value:[t,0],value_change:[t,0]})))}}i.TrendIndicator=_,_.__name__=\"TrendIndicator\",_.__module__=\"panel.models.trend\",_.init_TrendIndicator()},\n",
-       "      \"04fd346566\": function _(t,e,s,o,a){o();const n=t(\"@bokehjs/core/util/types\"),c=t(\"@bokehjs/models/layouts/html_box\");class i extends c.HTMLBoxView{connect_signals(){super.connect_signals();const{data:t,show_actions:e,theme:s}=this.model.properties;this.on_change([t,e,s],(()=>{this._plot()})),this.connect(this.model.properties.data_sources.change,(()=>this._connect_sources())),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null==t||!window.vegaEmbed)return;if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=(0,n.isArray)(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}const e={actions:this.model.show_actions,theme:this.model.theme};window.vegaEmbed(this.el,this.model.data,e)}}s.VegaPlotView=i,i.__name__=\"VegaPlotView\";class d extends c.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=i,this.define((({Any:t,Boolean:e,String:s})=>({data:[t,{}],data_sources:[t,{}],show_actions:[e,!1],theme:[s]})))}}s.VegaPlot=d,d.__name__=\"VegaPlot\",d.__module__=\"panel.models.vega\",d.init_VegaPlot()},\n",
-       "      \"ffe54b53c3\": function _(e,i,t,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=h,h.__name__=\"VideoView\";class m extends l.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=h,this.define((({Any:e,Boolean:i,Int:t,Number:o})=>({loop:[i,!1],paused:[i,!0],time:[o,0],throttle:[t,250],value:[e,\"\"],volume:[t]})))}}t.Video=m,m.__name__=\"Video\",m.__module__=\"panel.models.widgets\",m.init_Video()},\n",
-       "      \"e3e9b8e495\": function _(e,t,i,s,o){s();const h=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"4c755983eb\");class a extends l.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,(()=>this.set_timeout())),this.connect(this.model.properties.snapshot.change,(()=>this.snapshot())),this.connect(this.model.properties.paused.change,(()=>this.pause()))}pause(){this.model.paused?(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()):this.videoEl.play(),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),null!=this.model.timeout&&this.model.timeout>0&&(this.timer=setInterval((()=>this.snapshot()),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then((e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()})).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class n extends h.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define((({Any:e,Boolean:t,Int:i,Nullable:s,String:o})=>({format:[o,\"png\"],paused:[t,!1],snapshot:[t,!1],timeout:[s(i),null],value:[e]}))),this.override({height:240,width:320})}}i.VideoStream=n,n.__name__=\"VideoStream\",n.__module__=\"panel.models.widgets\",n.init_VideoStream()},\n",
-       "      \"c51f25e2a7\": function _(o,V,l,K,T){K(),T(\"VTKJSPlot\",o(\"b6d9199d03\").VTKJSPlot),T(\"VTKVolumePlot\",o(\"7785475bdd\").VTKVolumePlot),T(\"VTKAxes\",o(\"204e2f98bd\").VTKAxes),T(\"VTKSynchronizedPlot\",o(\"0a57062475\").VTKSynchronizedPlot)},\n",
-       "      \"b6d9199d03\": function _(e,t,n,i,s){i();const a=e(\"e13c143c7d\"),r=e(\"993f3118b2\");class _ extends a.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this.invalidate_render()}))}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=r.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=r.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=window.vtk.macro.debounce((()=>setTimeout((()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()}),100)),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=_,_.__name__=\"VTKJSPlotView\";class o extends a.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=_,this.define((({Boolean:e,Nullable:t,String:n})=>({data:[t(n)],enable_keybindings:[e,!1]})))}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n",
-       "      \"e13c143c7d\": function _(e,t,i,n,s){n();const a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/util/object\"),_=e(\"@bokehjs/models/mappers/color_mapper\"),d=e(\"@bokehjs/core/kinds\"),h=e(\"4c755983eb\"),c=e(\"993f3118b2\"),l=e(\"c010237f8b\"),g=e(\"204e2f98bd\"),p={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"},m=(0,d.Enum)(\"LowerLeft\",\"LowerRight\",\"UpperLeft\",\"UpperRight\",\"LowerEdge\",\"RightEdge\",\"LeftEdge\",\"UpperEdge\");class v extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\"),i=\"350px\",n=\"30px\";t.classList.add(\"vtk_info\"),(0,c.applyStyle)(t,p),(0,c.applyStyle)(t,{width:i}),this.el.appendChild(t);const s=[];this.model.color_mappers.forEach((e=>{const i=new l.VTKColorBar(t,e);s.push(i)}));const a=document.createElement(\"div\");(0,c.applyStyle)(a,{textAlign:\"center\",fontSize:\"20px\"}),a.innerText=\"...\",t.addEventListener(\"click\",(()=>{t.style.width===n?(t.removeChild(a),(0,c.applyStyle)(t,{height:\"auto\",width:i}),s.forEach((e=>t.appendChild(e.canvas)))):(s.forEach((e=>t.removeChild(e.canvas))),(0,c.applyStyle)(t,{height:n,width:n}),t.appendChild(a))})),t.click()}_init_annotations_container(){this._annotations_container||(this._annotations_container=document.createElement(\"div\"),this._annotations_container.style.position=\"absolute\",this._annotations_container.style.width=\"100%\",this._annotations_container.style.height=\"100%\",this._annotations_container.style.top=\"0\",this._annotations_container.style.left=\"0\",this._annotations_container.style.pointerEvents=\"none\")}_clean_annotations(){if(this._annotations_container)for(;this._annotations_container.firstElementChild;)this._annotations_container.firstElementChild.remove()}_add_annotations(){this._clean_annotations();const{annotations:e}=this.model;if(null!=e)for(let t of e){const{viewport:e,color:i,fontSize:n,fontFamily:s}=t;m.values.forEach((a=>{const r=t[a];if(r){const t=document.createElement(\"div\");t.textContent=r;const{style:o}=t;o.position=\"absolute\",o.color=`rgb(${i.map((e=>255*e)).join(\",\")})`,o.fontSize=`${n}px`,o.padding=\"5px\",o.fontFamily=s,o.width=\"fit-content\",\"UpperLeft\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*e[0]+\"%\"),\"UpperRight\"==a&&(o.top=100*(1-e[3])+\"%\",o.right=100*(1-e[2])+\"%\"),\"LowerLeft\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*e[0]+\"%\"),\"LowerRight\"==a&&(o.bottom=100*e[1]+\"%\",o.right=100*(1-e[2])+\"%\"),\"UpperEdge\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LowerEdge\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LeftEdge\"==a&&(o.left=100*e[0]+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),\"RightEdge\"==a&&(o.right=100*(1-e[2])+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),this._annotations_container.appendChild(t)}}))}}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,(()=>{this._orientation_widget_visibility(this.model.orientation_widget)})),this.on_change(this.model.properties.camera,(()=>this._set_camera_state())),this.on_change(this.model.properties.axes,(()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()})),this.on_change(this.model.properties.color_mappers,(()=>this._add_colorbars())),this.on_change(this.model.properties.annotations,(()=>this._add_annotations()))}render(){super.render(),this._vtk_renwin&&this._vtk_container?((0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=(0,a.div)(),this.init_vtk_renwin(),this._init_annotations_container(),(0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation((()=>this._get_camera_state())),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this._add_annotations(),this.model.renderer_el=this._vtk_renwin),this.el.appendChild(this._annotations_container)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}resize_layout(){this.layout&&super.resize_layout()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),null!=this._orientationWidget&&this._orientationWidget.delete(),this._vtk_renwin.getRenderWindow().getInteractor().delete(),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=(0,o.clone)(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=(0,a.canvas)({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback((()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}}))),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",(()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))})),this.el.addEventListener(\"mouseleave\",(()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}))}_create_orientation_widget(){const e=c.vtkns.AxesActor.newInstance();this._orientationWidget=c.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(c.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=c.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=c.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange((({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),s=t.getViewUp(),a=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*a,i[1]+e[1]*a,i[2]+e[2]*a),e[0]&&t.setViewUp((0,c.majorAxis)(s,1,2)),e[1]&&t.setViewUp((0,c.majorAxis)(s,0,2)),e[2]&&t.setViewUp((0,c.majorAxis)(s,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()}))}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach((e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]))),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},e&&this._vtk_renwin.getRenderer().addActor(e),t&&this._vtk_renwin.getRenderer().addActor(t),i&&this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map((e=>e.unsubscribe()))}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=v,v.__name__=\"AbstractVTKView\";class w extends r.HTMLBox{constructor(e){(0,c.setup_vtkns)(),super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define((({Any:e,Ref:t,Array:i,Boolean:n,Nullable:s})=>({axes:[s(t(g.VTKAxes)),null],camera:[e],color_mappers:[i(t(_.ColorMapper)),[]],orientation_widget:[n,!1],interactive_orientation_widget:[n,!1],annotations:[s(i(e)),null]}))),this.override({height:300,width:300})}}i.AbstractVTKPlot=w,w.__name__=\"AbstractVTKPlot\",w.__module__=\"panel.models.vtk\",w.init_AbstractVTKPlot()},\n",
-       "      \"993f3118b2\": function _(e,n,t,r,a){r();const o=e(\"@bokehjs/core/util/array\"),i=e(\"@bokehjs/core/kinds\");function s(){if(null!=t.vtkns.Actor)return;const e=window.vtk;t.vtkns.Actor=e.Rendering.Core.vtkActor,t.vtkns.AxesActor=e.Rendering.Core.vtkAxesActor,t.vtkns.Base64=e.Common.Core.vtkBase64,t.vtkns.BoundingBox=e.Common.DataModel.vtkBoundingBox,t.vtkns.Camera=e.Rendering.Core.vtkCamera,t.vtkns.ColorTransferFunction=e.Rendering.Core.vtkColorTransferFunction,t.vtkns.CubeSource=e.Filters.Sources.vtkCubeSource,t.vtkns.DataAccessHelper=e.IO.Core.DataAccessHelper,t.vtkns.DataArray=e.Common.Core.vtkDataArray,t.vtkns.Follower=e.Rendering.Core.vtkFollower,t.vtkns.FullScreenRenderWindow=e.Rendering.Misc.vtkFullScreenRenderWindow,t.vtkns.Glyph3DMapper=e.Rendering.Core.vtkGlyph3DMapper,t.vtkns.HttpSceneLoader=e.IO.Core.vtkHttpSceneLoader,t.vtkns.ImageData=e.Common.DataModel.vtkImageData,t.vtkns.ImageMapper=e.Rendering.Core.vtkImageMapper,t.vtkns.ImageProperty=e.Rendering.Core.vtkImageProperty,t.vtkns.ImageSlice=e.Rendering.Core.vtkImageSlice,t.vtkns.InteractiveOrientationWidget=e.Widgets.Widgets3D.vtkInteractiveOrientationWidget,t.vtkns.InteractorStyleTrackballCamera=e.Interaction.Style.vtkInteractorStyleTrackballCamera,t.vtkns.Light=e.Rendering.Core.vtkLight,t.vtkns.LineSource=e.Filters.Sources.vtkLineSource,t.vtkns.LookupTable=e.Common.Core.vtkLookupTable,t.vtkns.macro=e.macro,t.vtkns.Mapper=e.Rendering.Core.vtkMapper,t.vtkns.OpenGLRenderWindow=e.Rendering.OpenGL.vtkRenderWindow,t.vtkns.OrientationMarkerWidget=e.Interaction.Widgets.vtkOrientationMarkerWidget,t.vtkns.OutlineFilter=e.Filters.General.vtkOutlineFilter,t.vtkns.PiecewiseFunction=e.Common.DataModel.vtkPiecewiseFunction,t.vtkns.PixelSpaceCallbackMapper=e.Rendering.Core.vtkPixelSpaceCallbackMapper,t.vtkns.PlaneSource=e.Filters.Sources.vtkPlaneSource,t.vtkns.PointSource=e.Filters.Sources.vtkPointSource,t.vtkns.PolyData=e.Common.DataModel.vtkPolyData,t.vtkns.Property=e.Rendering.Core.vtkProperty,t.vtkns.Renderer=e.Rendering.Core.vtkRenderer,t.vtkns.RenderWindow=e.Rendering.Core.vtkRenderWindow,t.vtkns.RenderWindowInteractor=e.Rendering.Core.vtkRenderWindowInteractor,t.vtkns.SphereMapper=e.Rendering.Core.vtkSphereMapper,t.vtkns.SynchronizableRenderWindow=e.Rendering.Misc.vtkSynchronizableRenderWindow,t.vtkns.ThirdParty=e.ThirdParty,t.vtkns.Texture=e.Rendering.Core.vtkTexture,t.vtkns.Volume=e.Rendering.Core.vtkVolume,t.vtkns.VolumeController=e.Interaction.UI.vtkVolumeController,t.vtkns.VolumeMapper=e.Rendering.Core.vtkVolumeMapper,t.vtkns.VolumeProperty=e.Rendering.Core.vtkVolumeProperty,t.vtkns.WidgetManager=e.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:n}=t.vtkns.SynchronizableRenderWindow;n.setTypeMapping(\"vtkVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkSmartVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkFollower\",t.vtkns.Follower.newInstance,n.genericUpdater),n.setTypeMapping(\"vtkOpenGLGlyph3DMapper\",t.vtkns.Glyph3DMapper.newInstance,n.genericUpdater)}function k(e){const n=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==n.length?n:\"0\"+n}function c(e,n,t){return\"#\"+k(e)+k(n)+k(t)}function v(e){for(var n=new ArrayBuffer(e.length),t=new Uint8Array(n),r=0,a=e.length;r<a;r++)t[r]=e.charCodeAt(r);return n}t.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},t.vtkns={},t.setup_vtkns=s,window.vtk&&s(),t.Interpolation=(0,i.Enum)(\"fast_linear\",\"linear\",\"nearest\"),t.applyStyle=function(e,n){Object.keys(n).forEach((t=>{e.style[t]=n[t]}))},t.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},t.rgbToHex=c,t.vtkLutToMapper=function(e){const{scale:n,nodes:r}=e.get(\"scale\",\"nodes\");if(n!==t.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const a=r.map((e=>e.x)),i=Math.min(...a),s=Math.max(...a),k=(0,o.linspace)(i,s,255),v=[0,0,0];return{low:i,high:s,palette:k.map((n=>(e.getColor(n,v),c(255*v[0],255*v[1],255*v[2]))))}},t.data2VTKImageData=function(e){const n=t.vtkns.ImageData.newInstance({spacing:e.spacing});n.setDimensions(e.dims),n.setOrigin(null!=e.origin?e.origin:e.dims.map((e=>e/2)));const r=t.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new t.ARRAY_TYPES[e.dtype](v(atob(e.buffer)))});return n.getPointData().setScalars(r),n},t.majorAxis=function(e,n,t){const r=[0,0,0],a=Math.abs(e[n])>Math.abs(e[t])?n:t,o=e[a]>0?1:-1;return r[a]=o,r},t.cartesian_product=function(...e){return e.reduce(((e,n)=>e.flatMap((e=>n.map((n=>[].concat(e,n)))))))}},\n",
-       "      \"c010237f8b\": function _(t,i,e,s,h){s();const a=t(\"@bokehjs/models/mappers\"),n=t(\"@bokehjs/core/util/array\");class c{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return(0,n.linspace)(t,i,this.options.ticksNum)}get ticks(){return this.values.map((t=>t.toExponential(3)))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach((i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(`${i}`),h=e+s;t<h&&(t=h)})),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),s=t.length;e.width=s,e.height=1;const h=e.getContext(\"2d\"),c=h.getImageData(0,0,s,1),o=new a.LinearColorMapper({palette:t}).rgba_mapper.v_compute((0,n.range)(0,t.length));c.data.set(o),h.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=(0,n.linspace)(0,this.canvas.width,5);r.forEach(((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(`${this.ticks[e]}`,t,2*(i+1))})),this.ctx.restore()}}e.VTKColorBar=c,c.__name__=\"VTKColorBar\"},\n",
-       "      \"204e2f98bd\": function _(t,i,s,e,n){e();const a=(0,t(\"tslib\").__importStar)(t(\"@bokehjs/core/properties\")),r=t(\"@bokehjs/model\"),c=t(\"2f3fd5db07\"),h=t(\"993f3118b2\");class l extends r.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[a.Array],xticker:[a.Instance],yticker:[a.Instance],zticker:[a.Instance],digits:[a.Number,1],show_grid:[a.Boolean,!0],grid_opacity:[a.Number,.1],axes_opacity:[a.Number,1],fontsize:[a.Number,12]})}get xticks(){return this.xticker?this.xticker.ticks:[]}get yticks(){return this.yticker?this.yticker.ticks:[]}get zticks(){return this.zticker?this.zticker.ticks:[]}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map((t=>t.toFixed(this.digits)))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map((t=>t.toFixed(this.digits)))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map((t=>t.toFixed(this.digits)))}_make_grid_lines(t,i,s){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<i-1;t++){const a=n*i+t+s,r=[5,a,n*i+t+1+s,(n+1)*i+t+1+s,(n+1)*i+t+s,a];e.push(r)}return e}_create_grid_axes(){const t=[];t.push((0,h.cartesian_product)(this.xticks,this.yticks,[this.origin[2]])),t.push((0,h.cartesian_product)([this.origin[0]],this.yticks,this.zticks)),t.push((0,h.cartesian_product)(this.xticks,[this.origin[1]],this.zticks));const i=[];let s=0;i.push(this._make_grid_lines(this.xticks.length,this.yticks.length,s)),s+=this.xticks.length*this.yticks.length,i.push(this._make_grid_lines(this.yticks.length,this.zticks.length,s)),s+=this.yticks.length*this.zticks.length,i.push(this._make_grid_lines(this.xticks.length,this.zticks.length,s));const e=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:i.flat(2)}}),n=h.vtkns.Mapper.newInstance(),a=h.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){if(null==this.origin)return{psActor:null,axesActor:null,gridActor:null};const i=[this.xticks,this.yticks,this.zticks].map(((t,i)=>{let s=null;switch(i){case 0:s=(0,h.cartesian_product)(t,[this.origin[1]],[this.origin[2]]);break;case 1:s=(0,h.cartesian_product)([this.origin[0]],t,[this.origin[2]]);break;case 2:s=(0,h.cartesian_product)([this.origin[0]],[this.origin[1]],t)}return s})).flat(2),s=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:i},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=h.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(s),e.setUseZValues(!0),e.setCallback(((i,s,n)=>{const a=t.getContext(\"2d\");if(a){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=s.getViewMatrix();c.mat4.transpose(l,l);const o=s.getProjectionMatrix(n,-1,1);c.mat4.transpose(o,o),a.clearRect(0,0,r.width,r.height),i.forEach(((t,i)=>{const s=h.getPoint(i),e=c.vec3.fromValues(s[0],s[1],s[2]);if(c.vec3.transformMat4(e,e,l),e[2]+=.05,c.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let s;a.font=\"30px serif\",a.textAlign=\"center\",a.textBaseline=\"alphabetic\",a.fillText(\".\",t[0],r.height-t[1]+2),a.font=this.fontsize*window.devicePixelRatio+\"px serif\",a.textAlign=\"right\",a.textBaseline=\"top\",s=i<this.xticks.length?this.xlabels[i]:i>=this.xticks.length&&i<this.xticks.length+this.yticks.length?this.ylabels[i-this.xticks.length]:this.zlabels[i-(this.xticks.length+this.yticks.length)],a.fillText(`${s}`,t[0],r.height-t[1])}}))}}));const n=h.vtkns.Actor.newInstance();n.setMapper(e);const a=h.vtkns.Mapper.newInstance();a.setInputData(s);const r=h.vtkns.Actor.newInstance();r.setMapper(a),r.getProperty().setOpacity(this.axes_opacity);return{psActor:n,axesActor:r,gridActor:this._create_grid_axes()}}}s.VTKAxes=l,l.__name__=\"VTKAxes\",l.__module__=\"panel.models.vtk\",l.init_VTKAxes()},\n",
-       "      \"2f3fd5db07\": function _(t,c,a,o,r){o();const _=t(\"tslib\"),m=(0,_.__importStar)(t(\"68ca94c15c\"));a.glMatrix=m;const i=(0,_.__importStar)(t(\"7c0b8e6048\"));a.mat2=i;const n=(0,_.__importStar)(t(\"dc03f0a621\"));a.mat2d=n;const s=(0,_.__importStar)(t(\"0285c50a7e\"));a.mat3=s;const p=(0,_.__importStar)(t(\"a427635f32\"));a.mat4=p;const S=(0,_.__importStar)(t(\"eb06fc032a\"));a.quat=S;const e=(0,_.__importStar)(t(\"277615c682\"));a.quat2=e;const f=(0,_.__importStar)(t(\"c56d9ff837\"));a.vec2=f;const b=(0,_.__importStar)(t(\"2c5eb22089\"));a.vec3=b;const d=(0,_.__importStar)(t(\"c1aa33d719\"));a.vec4=d},\n",
-       "      \"68ca94c15c\": function _(t,a,r,n,o){n(),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var h=Math.PI/180;r.toRadian=function(t){return t*h},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
-       "      \"7c0b8e6048\": function _(t,n,r,a,u){a();const e=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function o(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function c(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new e.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,a){var u=new e.ARRAY_TYPE(4);return u[0]=t,u[1]=n,u[2]=r,u[3]=a,u},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=o,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=c,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],a=t[1],u=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(a-i)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(i))&&Math.abs(u-f)<=e.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(o-s)<=e.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=o,r.sub=c},\n",
-       "      \"dc03f0a621\": function _(t,n,a,r,u){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function e(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1],f=a[2],M=a[3],b=a[4],l=a[5];return t[0]=r*s+o*h,t[1]=u*s+e*h,t[2]=r*f+o*M,t[3]=u*f+e*M,t[4]=r*b+o*l+c,t[5]=u*b+e*l+i,t}function c(t,n,a){return t[0]=n[0]-a[0],t[1]=n[1]-a[1],t[2]=n[2]-a[2],t[3]=n[3]-a[3],t[4]=n[4]-a[4],t[5]=n[5]-a[5],t}a.create=function(){var t=new o.ARRAY_TYPE(6);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[4]=0,t[5]=0),t[0]=1,t[3]=1,t},a.clone=function(t){var n=new o.ARRAY_TYPE(6);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n[4]=t[4],n[5]=t[5],n},a.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t},a.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t},a.fromValues=function(t,n,a,r,u,e){var c=new o.ARRAY_TYPE(6);return c[0]=t,c[1]=n,c[2]=a,c[3]=r,c[4]=u,c[5]=e,c},a.set=function(t,n,a,r,u,o,e){return t[0]=n,t[1]=a,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t},a.invert=function(t,n){var a=n[0],r=n[1],u=n[2],o=n[3],e=n[4],c=n[5],i=a*o-r*u;return i?(i=1/i,t[0]=o*i,t[1]=-r*i,t[2]=-u*i,t[3]=a*i,t[4]=(u*c-o*e)*i,t[5]=(r*e-a*c)*i,t):null},a.determinant=function(t){return t[0]*t[3]-t[1]*t[2]},a.multiply=e,a.rotate=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=Math.sin(a),h=Math.cos(a);return t[0]=r*h+o*s,t[1]=u*h+e*s,t[2]=r*-s+o*h,t[3]=u*-s+e*h,t[4]=c,t[5]=i,t},a.scale=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1];return t[0]=r*s,t[1]=u*s,t[2]=o*h,t[3]=e*h,t[4]=c,t[5]=i,t},a.translate=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=r*s+o*h+c,t[5]=u*s+e*h+i,t},a.fromRotation=function(t,n){var a=Math.sin(n),r=Math.cos(n);return t[0]=r,t[1]=a,t[2]=-a,t[3]=r,t[4]=0,t[5]=0,t},a.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t[4]=0,t[5]=0,t},a.fromTranslation=function(t,n){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=n[0],t[5]=n[1],t},a.str=function(t){return\"mat2d(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\")\"},a.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],1)},a.add=function(t,n,a){return t[0]=n[0]+a[0],t[1]=n[1]+a[1],t[2]=n[2]+a[2],t[3]=n[3]+a[3],t[4]=n[4]+a[4],t[5]=n[5]+a[5],t},a.subtract=c,a.multiplyScalar=function(t,n,a){return t[0]=n[0]*a,t[1]=n[1]*a,t[2]=n[2]*a,t[3]=n[3]*a,t[4]=n[4]*a,t[5]=n[5]*a,t},a.multiplyScalarAndAdd=function(t,n,a,r){return t[0]=n[0]+a[0]*r,t[1]=n[1]+a[1]*r,t[2]=n[2]+a[2]*r,t[3]=n[3]+a[3]*r,t[4]=n[4]+a[4]*r,t[5]=n[5]+a[5]*r,t},a.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]&&t[4]===n[4]&&t[5]===n[5]},a.equals=function(t,n){var a=t[0],r=t[1],u=t[2],e=t[3],c=t[4],i=t[5],s=n[0],h=n[1],f=n[2],M=n[3],b=n[4],l=n[5];return Math.abs(a-s)<=o.EPSILON*Math.max(1,Math.abs(a),Math.abs(s))&&Math.abs(r-h)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(h))&&Math.abs(u-f)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(e-M)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(M))&&Math.abs(c-b)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(i-l)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(l))},a.mul=e,a.sub=c},\n",
-       "      \"0285c50a7e\": function _(t,a,n,r,u){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function e(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],A=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+A*s,t[7]=P*u+S*i+A*M,t[8]=P*o+S*c+A*h,t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new o.ARRAY_TYPE(9);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new o.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,r,u,e,i,c,s){var M=new o.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=r,M[4]=u,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=e,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,A=n*s-o*e,x=r*c-u*i,d=r*s-o*i,I=u*s-o*c,L=M*m-h*l,N=M*v-f*l,O=M*E-b*l,R=h*v-f*m,p=h*E-b*m,Y=f*E-b*v,y=P*Y-S*p+A*R+x*O-d*N+I*L;return y?(y=1/y,t[0]=(i*Y-c*p+s*R)*y,t[1]=(c*O-e*Y-s*N)*y,t[2]=(e*p-i*O+s*L)*y,t[3]=(u*p-r*Y-o*R)*y,t[4]=(n*Y-u*O+o*N)*y,t[5]=(r*O-n*p-o*L)*y,t[6]=(m*I-v*d+E*x)*y,t[7]=(v*A-l*I-E*S)*y,t[8]=(l*d-m*A+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],A=a[8];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-b)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(e-m)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))},n.mul=e,n.sub=i},\n",
-       "      \"a427635f32\": function _(t,a,n,r,h){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function u(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function M(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],m=a[12],v=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],L=n[3];return t[0]=S*r+I*M+O*c+L*m,t[1]=S*h+I*s+O*f+L*v,t[2]=S*o+I*e+O*b+L*P,t[3]=S*u+I*i+O*l+L*E,S=n[4],I=n[5],O=n[6],L=n[7],t[4]=S*r+I*M+O*c+L*m,t[5]=S*h+I*s+O*f+L*v,t[6]=S*o+I*e+O*b+L*P,t[7]=S*u+I*i+O*l+L*E,S=n[8],I=n[9],O=n[10],L=n[11],t[8]=S*r+I*M+O*c+L*m,t[9]=S*h+I*s+O*f+L*v,t[10]=S*o+I*e+O*b+L*P,t[11]=S*u+I*i+O*l+L*E,S=n[12],I=n[13],O=n[14],L=n[15],t[12]=S*r+I*M+O*c+L*m,t[13]=S*h+I*s+O*f+L*v,t[14]=S*o+I*e+O*b+L*P,t[15]=S*u+I*i+O*l+L*E,t}function s(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,s=h+h,e=o+o,i=r*M,c=r*s,f=r*e,b=h*s,l=h*e,m=o*e,v=u*M,P=u*s,E=u*e;return t[0]=1-(b+m),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+m),t[6]=l+v,t[7]=0,t[8]=f+P,t[9]=l-v,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function e(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],s=a[8],e=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(s,e,i),t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new o.ARRAY_TYPE(16);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new o.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,r,h,u,M,s,e,i,c,f,b,l,m,v){var P=new o.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=r,P[4]=h,P[5]=u,P[6]=M,P[7]=s,P[8]=e,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=m,P[15]=v,P},n.set=function(t,a,n,r,h,o,u,M,s,e,i,c,f,b,l,m,v){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=s,t[8]=e,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=m,t[15]=v,t},n.identity=u,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15],E=n*M-r*u,S=n*s-h*u,I=n*e-o*u,O=r*s-h*M,L=r*e-o*M,N=h*e-o*s,p=i*m-c*l,R=i*v-f*l,x=i*P-b*l,A=c*v-f*m,y=c*P-b*m,Y=f*P-b*v,g=E*Y-S*y+I*A+O*x-L*R+N*p;return g?(g=1/g,t[0]=(M*Y-s*y+e*A)*g,t[1]=(h*y-r*Y-o*A)*g,t[2]=(m*N-v*L+P*O)*g,t[3]=(f*L-c*N-b*O)*g,t[4]=(s*x-u*Y-e*R)*g,t[5]=(n*Y-h*x+o*R)*g,t[6]=(v*I-l*N-P*S)*g,t[7]=(i*N-f*I+b*S)*g,t[8]=(u*y-M*x+e*p)*g,t[9]=(r*x-n*y-o*p)*g,t[10]=(l*L-m*I+P*E)*g,t[11]=(c*I-i*L-b*E)*g,t[12]=(M*R-u*A-s*p)*g,t[13]=(n*A-r*R+h*p)*g,t[14]=(m*S-l*O-v*E)*g,t[15]=(i*O-c*S+f*E)*g,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15];return t[0]=M*(f*P-b*v)-c*(s*P-e*v)+m*(s*b-e*f),t[1]=-(r*(f*P-b*v)-c*(h*P-o*v)+m*(h*b-o*f)),t[2]=r*(s*P-e*v)-M*(h*P-o*v)+m*(h*e-o*s),t[3]=-(r*(s*b-e*f)-M*(h*b-o*f)+c*(h*e-o*s)),t[4]=-(u*(f*P-b*v)-i*(s*P-e*v)+l*(s*b-e*f)),t[5]=n*(f*P-b*v)-i*(h*P-o*v)+l*(h*b-o*f),t[6]=-(n*(s*P-e*v)-u*(h*P-o*v)+l*(h*e-o*s)),t[7]=n*(s*b-e*f)-u*(h*b-o*f)+i*(h*e-o*s),t[8]=u*(c*P-b*m)-i*(M*P-e*m)+l*(M*b-e*c),t[9]=-(n*(c*P-b*m)-i*(r*P-o*m)+l*(r*b-o*c)),t[10]=n*(M*P-e*m)-u*(r*P-o*m)+l*(r*e-o*M),t[11]=-(n*(M*b-e*c)-u*(r*b-o*c)+i*(r*e-o*M)),t[12]=-(u*(c*v-f*m)-i*(M*v-s*m)+l*(M*f-s*c)),t[13]=n*(c*v-f*m)-i*(r*v-h*m)+l*(r*f-h*c),t[14]=-(n*(M*v-s*m)-u*(r*v-h*m)+l*(r*s-h*M)),t[15]=n*(M*f-s*c)-u*(r*f-h*c)+i*(r*s-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],s=t[7],e=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],m=t[14],v=t[15];return(a*u-n*o)*(c*v-f*m)-(a*M-r*o)*(i*v-f*l)+(a*s-h*o)*(i*m-c*l)+(n*M-r*u)*(e*v-f*b)-(n*s-h*u)*(e*m-c*b)+(r*s-h*M)*(e*l-i*b)},n.multiply=M,n.translate=function(t,a,n){var r,h,o,u,M,s,e,i,c,f,b,l,m=n[0],v=n[1],P=n[2];return a===t?(t[12]=a[0]*m+a[4]*v+a[8]*P+a[12],t[13]=a[1]*m+a[5]*v+a[9]*P+a[13],t[14]=a[2]*m+a[6]*v+a[10]*P+a[14],t[15]=a[3]*m+a[7]*v+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=s,t[6]=e,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*m+M*v+c*P+a[12],t[13]=h*m+s*v+f*P+a[13],t[14]=o*m+e*v+b*P+a[14],t[15]=u*m+i*v+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,r){var h,u,M,s,e,i,c,f,b,l,m,v,P,E,S,I,O,L,N,p,R,x,A,y,Y=r[0],g=r[1],T=r[2],d=Math.hypot(Y,g,T);return d<o.EPSILON?null:(Y*=d=1/d,g*=d,T*=d,h=Math.sin(n),M=1-(u=Math.cos(n)),s=a[0],e=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],m=a[7],v=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=g*Y*M+T*h,L=T*Y*M-g*h,N=Y*g*M-T*h,p=g*g*M+u,R=T*g*M+Y*h,x=Y*T*M+g*h,A=g*T*M-Y*h,y=T*T*M+u,t[0]=s*I+f*O+v*L,t[1]=e*I+b*O+P*L,t[2]=i*I+l*O+E*L,t[3]=c*I+m*O+S*L,t[4]=s*N+f*p+v*R,t[5]=e*N+b*p+P*R,t[6]=i*N+l*p+E*R,t[7]=c*N+m*p+S*R,t[8]=s*x+f*A+v*y,t[9]=e*x+b*A+P*y,t[10]=i*x+l*A+E*y,t[11]=c*x+m*A+S*y,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],s=a[7],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+e*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=s*h+f*r,t[8]=e*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-s*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-e*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=s*h-f*r,t[8]=o*r+e*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=s*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+e*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=s*h+f*r,t[4]=e*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-s*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var r,h,u,M=n[0],s=n[1],e=n[2],i=Math.hypot(M,s,e);return i<o.EPSILON?null:(M*=i=1/i,s*=i,e*=i,r=Math.sin(a),u=1-(h=Math.cos(a)),t[0]=M*M*u+h,t[1]=s*M*u+e*r,t[2]=e*M*u-s*r,t[3]=0,t[4]=M*s*u-e*r,t[5]=s*s*u+h,t[6]=e*s*u+M*r,t[7]=0,t[8]=M*e*u+s*r,t[9]=s*e*u-M*r,t[10]=e*e*u+h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=s,n.fromQuat2=function(t,a){var n=new o.ARRAY_TYPE(3),r=-a[0],h=-a[1],u=-a[2],M=a[3],e=a[4],i=a[5],c=a[6],f=a[7],b=r*r+h*h+u*u+M*M;return b>0?(n[0]=2*(e*M+f*r+i*u-c*h)/b,n[1]=2*(i*M+f*h+c*r-e*u)/b,n[2]=2*(c*M+f*u+e*h-i*r)/b):(n[0]=2*(e*M+f*r+i*u-c*h),n[1]=2*(i*M+f*h+c*r-e*u),n[2]=2*(c*M+f*u+e*h-i*r)),s(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=e,n.getRotation=function(t,a){var n=new o.ARRAY_TYPE(3);e(n,a);var r=1/n[0],h=1/n[1],u=1/n[2],M=a[0]*r,s=a[1]*h,i=a[2]*u,c=a[4]*r,f=a[5]*h,b=a[6]*u,l=a[8]*r,m=a[9]*h,v=a[10]*u,P=M+f+v,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-m)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):M>f&&M>v?(E=2*Math.sqrt(1+M-f-v),t[3]=(b-m)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>v?(E=2*Math.sqrt(1+f-M-v),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+m)/E):(E=2*Math.sqrt(1+v-M-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+m)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],s=h+h,e=o+o,i=u+u,c=h*s,f=h*e,b=h*i,l=o*e,m=o*i,v=u*i,P=M*s,E=M*e,S=M*i,I=r[0],O=r[1],L=r[2];return t[0]=(1-(l+v))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+v))*O,t[6]=(m+P)*O,t[7]=0,t[8]=(b+E)*L,t[9]=(m-P)*L,t[10]=(1-(c+l))*L,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],s=a[3],e=o+o,i=u+u,c=M+M,f=o*e,b=o*i,l=o*c,m=u*i,v=u*c,P=M*c,E=s*e,S=s*i,I=s*c,O=r[0],L=r[1],N=r[2],p=h[0],R=h[1],x=h[2],A=(1-(m+P))*O,y=(b+I)*O,Y=(l-S)*O,g=(b-I)*L,T=(1-(f+P))*L,d=(v+E)*L,_=(l+S)*N,q=(v-E)*N,w=(1-(f+m))*N;return t[0]=A,t[1]=y,t[2]=Y,t[3]=0,t[4]=g,t[5]=T,t[6]=d,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+p-(A*p+g*R+_*x),t[13]=n[1]+R-(y*p+T*R+q*x),t[14]=n[2]+x-(Y*p+d*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,s=h+h,e=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*s,m=o*u,v=o*M,P=o*s;return t[0]=1-c-l,t[1]=i+P,t[2]=f-v,t[3]=0,t[4]=i-P,t[5]=1-e-l,t[6]=b+m,t[7]=0,t[8]=f+v,t[9]=b-m,t[10]=1-e-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),s=1/(h-r),e=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*s,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*s,t[10]=(u+o)*e,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*e,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),s=2/(u+M),e=2/(h+o);return t[0]=s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e,t[6]=0,t[7]=0,t[8]=-(u-M)*s*.5,t[9]=(h-o)*e*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),s=1/(r-h),e=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*s,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*e,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*s,t[14]=(u+o)*e,t[15]=1,t},n.lookAt=function(t,a,n,r){var h,M,s,e,i,c,f,b,l,m,v=a[0],P=a[1],E=a[2],S=r[0],I=r[1],O=r[2],L=n[0],N=n[1],p=n[2];return Math.abs(v-L)<o.EPSILON&&Math.abs(P-N)<o.EPSILON&&Math.abs(E-p)<o.EPSILON?u(t):(f=v-L,b=P-N,l=E-p,h=I*(l*=m=1/Math.hypot(f,b,l))-O*(b*=m),M=O*(f*=m)-S*l,s=S*b-I*f,(m=Math.hypot(h,M,s))?(h*=m=1/m,M*=m,s*=m):(h=0,M=0,s=0),e=b*s-l*M,i=l*h-f*s,c=f*M-b*h,(m=Math.hypot(e,i,c))?(e*=m=1/m,i*=m,c*=m):(e=0,i=0,c=0),t[0]=h,t[1]=e,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=s,t[9]=c,t[10]=l,t[11]=0,t[12]=-(h*v+M*P+s*E),t[13]=-(e*v+i*P+c*E),t[14]=-(f*v+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],s=r[1],e=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=s*f-e*c,m=e*i-M*f,v=M*c-s*i;return(b=l*l+m*m+v*v)>0&&(l*=b=1/Math.sqrt(b),m*=b,v*=b),t[0]=l,t[1]=m,t[2]=v,t[3]=0,t[4]=c*v-f*m,t[5]=f*l-i*v,t[6]=i*m-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],r=t[1],h=t[2],u=t[3],M=t[4],s=t[5],e=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],m=t[12],v=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],L=a[3],N=a[4],p=a[5],R=a[6],x=a[7],A=a[8],y=a[9],Y=a[10],g=a[11],T=a[12],d=a[13],_=a[14],q=a[15];return Math.abs(n-S)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(S))&&Math.abs(r-I)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(I))&&Math.abs(h-O)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(O))&&Math.abs(u-L)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(L))&&Math.abs(M-N)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(N))&&Math.abs(s-p)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(p))&&Math.abs(e-R)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(R))&&Math.abs(i-x)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(x))&&Math.abs(c-A)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(A))&&Math.abs(f-y)<=o.EPSILON*Math.max(1,Math.abs(f),Math.abs(y))&&Math.abs(b-Y)<=o.EPSILON*Math.max(1,Math.abs(b),Math.abs(Y))&&Math.abs(l-g)<=o.EPSILON*Math.max(1,Math.abs(l),Math.abs(g))&&Math.abs(m-T)<=o.EPSILON*Math.max(1,Math.abs(m),Math.abs(T))&&Math.abs(v-d)<=o.EPSILON*Math.max(1,Math.abs(v),Math.abs(d))&&Math.abs(P-_)<=o.EPSILON*Math.max(1,Math.abs(P),Math.abs(_))&&Math.abs(E-q)<=o.EPSILON*Math.max(1,Math.abs(E),Math.abs(q))},n.mul=M,n.sub=i},\n",
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-       "      \"277615c682\": function _(t,a,n,r,e){r();const u=t(\"tslib\"),o=(0,u.__importStar)(t(\"68ca94c15c\")),i=(0,u.__importStar)(t(\"eb06fc032a\")),s=(0,u.__importStar)(t(\"a427635f32\"));function c(t,a,n){var r=.5*n[0],e=.5*n[1],u=.5*n[2],o=a[0],i=a[1],s=a[2],c=a[3];return t[0]=o,t[1]=i,t[2]=s,t[3]=c,t[4]=r*c+e*s-u*i,t[5]=e*c+u*o-r*s,t[6]=u*c+r*i-e*o,t[7]=-r*o-e*i-u*s,t}function h(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t}function f(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[4],s=n[5],c=n[6],h=n[7],f=a[4],M=a[5],b=a[6],l=a[7],v=n[0],m=n[1],R=n[2],A=n[3];return t[0]=r*A+o*v+e*R-u*m,t[1]=e*A+o*m+u*v-r*R,t[2]=u*A+o*R+r*m-e*v,t[3]=o*A-r*v-e*m-u*R,t[4]=r*h+o*i+e*c-u*s+f*A+l*v+M*R-b*m,t[5]=e*h+o*s+u*i-r*c+M*A+l*m+b*v-f*R,t[6]=u*h+o*c+r*s-e*i+b*A+l*R+f*m-M*v,t[7]=o*h-r*i-e*s-u*c+l*A-f*v-M*m-b*R,t}n.create=function(){var t=new o.ARRAY_TYPE(8);return o.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[4]=0,t[5]=0,t[6]=0,t[7]=0),t[3]=1,t},n.clone=function(t){var a=new o.ARRAY_TYPE(8);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a},n.fromValues=function(t,a,n,r,e,u,i,s){var c=new o.ARRAY_TYPE(8);return c[0]=t,c[1]=a,c[2]=n,c[3]=r,c[4]=e,c[5]=u,c[6]=i,c[7]=s,c},n.fromRotationTranslationValues=function(t,a,n,r,e,u,i){var s=new o.ARRAY_TYPE(8);s[0]=t,s[1]=a,s[2]=n,s[3]=r;var c=.5*e,h=.5*u,f=.5*i;return s[4]=c*r+h*n-f*a,s[5]=h*r+f*t-c*n,s[6]=f*r+c*a-h*t,s[7]=-c*t-h*a-f*n,s},n.fromRotationTranslation=c,n.fromTranslation=function(t,a){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t[4]=.5*a[0],t[5]=.5*a[1],t[6]=.5*a[2],t[7]=0,t},n.fromRotation=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=0,t[5]=0,t[6]=0,t[7]=0,t},n.fromMat4=function(t,a){var n=i.create();s.getRotation(n,a);var r=new o.ARRAY_TYPE(3);return s.getTranslation(r,a),c(t,n,r),t},n.copy=h,n.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t[6]=0,t[7]=0,t},n.set=function(t,a,n,r,e,u,o,i,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=e,t[4]=u,t[5]=o,t[6]=i,t[7]=s,t},n.getReal=i.copy,n.getDual=function(t,a){return t[0]=a[4],t[1]=a[5],t[2]=a[6],t[3]=a[7],t},n.setReal=i.copy,n.setDual=function(t,a){return t[4]=a[0],t[5]=a[1],t[6]=a[2],t[7]=a[3],t},n.getTranslation=function(t,a){var n=a[4],r=a[5],e=a[6],u=a[7],o=-a[0],i=-a[1],s=-a[2],c=a[3];return t[0]=2*(n*c+u*o+r*s-e*i),t[1]=2*(r*c+u*i+e*o-n*s),t[2]=2*(e*c+u*s+n*i-r*o),t},n.translate=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=.5*n[0],s=.5*n[1],c=.5*n[2],h=a[4],f=a[5],M=a[6],b=a[7];return t[0]=r,t[1]=e,t[2]=u,t[3]=o,t[4]=o*i+e*c-u*s+h,t[5]=o*s+u*i-r*c+f,t[6]=o*c+r*s-e*i+M,t[7]=-r*i-e*s-u*c+b,t},n.rotateX=function(t,a,n){var r=-a[0],e=-a[1],u=-a[2],o=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*o+f*r+c*u-h*e,b=c*o+f*e+h*r-s*u,l=h*o+f*u+s*e-c*r,v=f*o-s*r-c*e-h*u;return i.rotateX(t,a,n),r=t[0],e=t[1],u=t[2],o=t[3],t[4]=M*o+v*r+b*u-l*e,t[5]=b*o+v*e+l*r-M*u,t[6]=l*o+v*u+M*e-b*r,t[7]=v*o-M*r-b*e-l*u,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],u=-a[2],o=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*o+f*r+c*u-h*e,b=c*o+f*e+h*r-s*u,l=h*o+f*u+s*e-c*r,v=f*o-s*r-c*e-h*u;return i.rotateY(t,a,n),r=t[0],e=t[1],u=t[2],o=t[3],t[4]=M*o+v*r+b*u-l*e,t[5]=b*o+v*e+l*r-M*u,t[6]=l*o+v*u+M*e-b*r,t[7]=v*o-M*r-b*e-l*u,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],u=-a[2],o=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*o+f*r+c*u-h*e,b=c*o+f*e+h*r-s*u,l=h*o+f*u+s*e-c*r,v=f*o-s*r-c*e-h*u;return i.rotateZ(t,a,n),r=t[0],e=t[1],u=t[2],o=t[3],t[4]=M*o+v*r+b*u-l*e,t[5]=b*o+v*e+l*r-M*u,t[6]=l*o+v*u+M*e-b*r,t[7]=v*o-M*r-b*e-l*u,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<o.EPSILON)return h(t,a);var e=Math.hypot(n[0],n[1],n[2]);r*=.5;var u=Math.sin(r),i=u*n[0]/e,s=u*n[1]/e,c=u*n[2]/e,f=Math.cos(r),M=a[0],b=a[1],l=a[2],v=a[3];t[0]=M*f+v*i+b*c-l*s,t[1]=b*f+v*s+l*i-M*c,t[2]=l*f+v*c+M*s-b*i,t[3]=v*f-M*i-b*s-l*c;var m=a[4],R=a[5],A=a[6],E=a[7];return t[4]=m*f+E*i+R*c-A*s,t[5]=R*f+E*s+A*i-m*c,t[6]=A*f+E*c+m*s-R*i,t[7]=E*f-m*i-R*s-A*c,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=f,n.mul=f,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=i.dot,n.lerp=function(t,a,r,e){var u=1-e;return(0,n.dot)(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=(0,n.squaredLength)(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=i.length,n.len=n.length,n.squaredLength=i.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=(0,n.squaredLength)(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],e=t[2],u=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],b=a[2],l=a[3],v=a[4],m=a[5],R=a[6],A=a[7];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-M)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(M))&&Math.abs(e-b)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(s-m)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(m))&&Math.abs(c-R)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(R))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))}},\n",
-       "      \"c56d9ff837\": function _(n,t,r,a,u){a();const e=(0,n(\"tslib\").__importStar)(n(\"68ca94c15c\"));function o(){var n=new e.ARRAY_TYPE(2);return e.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function c(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function i(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function f(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function s(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function h(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function M(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function l(n){var t=n[0],r=n[1];return t*t+r*r}var v;r.create=o,r.clone=function(n){var t=new e.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new e.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=c,r.multiply=i,r.divide=f,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=s,r.squaredDistance=h,r.length=M,r.squaredLength=l,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*e.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],a=n[1],u=t[0],o=t[1];return Math.abs(r-u)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(u))&&Math.abs(a-o)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(o))},r.len=M,r.sub=c,r.mul=i,r.div=f,r.dist=s,r.sqrDist=h,r.sqrLen=l,r.forEach=(v=o(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)v[0]=n[o],v[1]=n[o+1],u(v,v,e),n[o]=v[0],n[o+1]=v[1];return n})},\n",
-       "      \"7785475bdd\": function _(e,t,i,s,n){s();const r=e(\"e13c143c7d\"),o=e(\"993f3118b2\");class a extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data),this.invalidate_render()})),this.connect(this.model.properties.colormap.change,(()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)})),this.connect(this.model.properties.shadow.change,(()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)})),this.connect(this.model.properties.sampling.change,(()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)})),this.connect(this.model.properties.edge_gradient.change,(()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)})),this.connect(this.model.properties.rescale.change,(()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.ambient.change,(()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.diffuse.change,(()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular.change,(()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular_power.change,(()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_volume.change,(()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_slices.change,(()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.slice_i.change,(()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_j.change,(()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_k.change,(()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.render_background.change,(()=>{this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.interpolation.change,(()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.controller_expanded.change,(()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})),this.connect(this.model.properties.nan_opacity.change,(()=>{const e=this.image_actor_i.getProperty().getScalarOpacity();e.get([\"nodes\"]).nodes[0].y=this.model.nan_opacity,e.modified(),this._vtk_renwin.getRenderWindow().render()}))}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=o.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=o.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",(()=>this.model.controller_expanded=this._controllerWidget.getExpanded()))}this.colormap_selector.addEventListener(\"change\",(()=>{this.model.colormap=this.colormap_selector.value})),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",(()=>{this.model.shadow=!!Number(this.shadow_selector.value)})),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",(()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)})),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",(()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)})),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=o.vtkns.ImageSlice.newInstance(),i=o.vtkns.ImageSlice.newInstance(),s=o.vtkns.ImageSlice.newInstance(),n=o.vtkns.ImageMapper.newInstance(),r=o.vtkns.ImageMapper.newInstance(),a=o.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),r.setInputData(e),r.setJSlice(this.model.slice_j),i.setMapper(r),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=o.vtkns.PiecewiseFunction.newInstance(),d=this.volume.getProperty().getRGBTransferFunction(0),c=this.volume.getMapper().getInputData().getPointData().getScalars().getRange();l.removeAllPoints(),l.addPoint(c[0]-1,this.model.nan_opacity),l.addPoint(c[0],1),l.addPoint(c[1],1);const _=t.getProperty();i.setProperty(_),s.setProperty(_),_.setRGBTransferFunction(d),_.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=o.vtkns.Volume.newInstance(),i=o.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=o.vtkns.ColorTransferFunction.newInstance();n.onModified((()=>this.model.mapper=(0,o.vtkLutToMapper)(n)));const r=o.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map((e=>e*e)).reduce(((e,t)=>e+t),0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,r),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,o.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this.image_actor_i.setVisibility(e),this.image_actor_j.setVisibility(e),this.image_actor_k.setVisibility(e)}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=a,a.__name__=\"VTKVolumePlotView\";class l extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=a,this.define((({Any:e,Array:t,Boolean:i,Int:s,Number:n,String:r,Struct:a})=>({ambient:[n,.2],colormap:[r],data:[e],diffuse:[n,.7],display_slices:[i,!1],display_volume:[i,!0],edge_gradient:[n,.2],interpolation:[o.Interpolation,\"fast_linear\"],mapper:[a({palette:t(r),low:n,high:n})],nan_opacity:[n,1],render_background:[r,\"#52576e\"],rescale:[i,!1],sampling:[n,.4],shadow:[i,!0],slice_i:[s,0],slice_j:[s,0],slice_k:[s,0],specular:[n,.3],specular_power:[n,8],controller_expanded:[i,!0]})))}}i.VTKVolumePlot=l,l.__name__=\"VTKVolumePlot\",l.init_VTKVolumePlot()},\n",
-       "      \"0a57062475\": function _(e,t,n,s,i){s();const r=e(\"@bokehjs/core/util/object\"),o=e(\"e13c143c7d\"),_=e(\"877619fe71\"),a=e(\"993f3118b2\"),c=\"panel\";class h extends o.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=a.vtkns.SynchronizableRenderWindow.getSynchronizerContext(c)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,(()=>this._decode_arrays())),this.connect(this.model.properties.scene.change,(()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>{this._on_scene_ready()}))}))}})),this.connect(this.model.properties.one_time_reset.change,(()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()}))}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>this._on_scene_ready())).then((()=>{this._set_camera_state(),this._get_camera_state()}))}))}_decode_arrays(){const e=new a.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,i=this.model;Object.keys(t).forEach((r=>{this._decoded_arrays[r]||(this._decoded_arrays[r]=!0,this._promises.push(function(r){return e.loadAsync(atob(t[r])).then((e=>e.file(\"data/\"+r))).then((e=>e.async(\"arraybuffer\"))).then((e=>n(r,e))).then((()=>{s.push(r),i.properties.arrays_processed.change.emit()}))}(r)))}))}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified((()=>this._vtk_render()))),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction((e=>Promise.resolve(this._arrays[e])));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=h,h.__name__=\"VTKSynchronizedPlotView\";class d extends o.AbstractVTKPlot{constructor(e){super(e),(0,_.initialize_fullscreen_render)(),this.outline=a.vtkns.OutlineFilter.newInstance();const t=a.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=a.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}getActors(e){let t=this.renderer_el.getRenderer().getActors();if(e){const n=this.renderer_el.getSynchronizerContext(c);t=t.filter((t=>{const s=n.getInstanceId(t);return!!s&&s.slice(-16)==e.slice(1,17)}))}return t}static init_VTKSynchronizedPlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:n,String:s})=>({arrays:[e,{}],arrays_processed:[t(s),[]],enable_keybindings:[n,!1],one_time_reset:[n],rebuild:[n,!1],scene:[e,{}]}))),this.override({height:300,width:300})}}n.VTKSynchronizedPlot=d,d.__name__=\"VTKSynchronizedPlot\",d.__module__=\"panel.models.vtk\",d.init_VTKSynchronizedPlot()},\n",
-       "      \"877619fe71\": function _(e,n,o,t,r){t();const i=e(\"993f3118b2\"),l={containerStyle:null,controlPanelStyle:null,listenWindowResize:!0,resizeCallback:null,controllerVisibility:!0,synchronizerContextName:\"default\"},a={position:\"absolute\",left:\"25px\",top:\"25px\",backgroundColor:\"white\",borderRadius:\"5px\",listStyle:\"none\",padding:\"5px 10px\",margin:\"0\",display:\"block\",border:\"solid 1px black\",maxWidth:\"calc(100vw - 70px)\",maxHeight:\"calc(100vh - 60px)\",overflow:\"auto\"};o.initialize_fullscreen_render=function(){let e={newInstance:window.vtk.macro.newInstance(((e,n,o={})=>{Object.assign(n,l,o),window.vtk.macro.obj(e,n),window.vtk.macro.get(e,n,[\"renderWindow\",\"openGLRenderWindow\",\"interactor\",\"rootContainer\",\"container\",\"controlContainer\",\"synchronizerContext\"]),function(e,n){n.renderWindow=i.vtkns.SynchronizableRenderWindow.newInstance({synchronizerContext:n.synchronizerContext}),n.openGLRenderWindow=i.vtkns.OpenGLRenderWindow.newInstance(),n.openGLRenderWindow.setContainer(n.container),n.renderWindow.addView(n.openGLRenderWindow),n.interactor=i.vtkns.RenderWindowInteractor.newInstance(),n.interactor.setInteractorStyle(i.vtkns.InteractorStyleTrackballCamera.newInstance()),n.interactor.setView(n.openGLRenderWindow),n.interactor.initialize(),n.interactor.bindEvents(n.container),e.getRenderer=()=>n.renderWindow.getRenderers()[0],e.removeController=()=>{const e=n.controlContainer;e&&e.parentNode.removeChild(e)},e.setControllerVisibility=e=>{n.controllerVisibility=e,n.controlContainer&&(n.controlContainer.style.display=e?\"block\":\"none\")},e.toggleControllerVisibility=()=>{e.setControllerVisibility(!n.controllerVisibility)},e.addController=o=>{n.controlContainer=document.createElement(\"div\"),(0,i.applyStyle)(n.controlContainer,n.controlPanelStyle||a),n.rootContainer.appendChild(n.controlContainer),n.controlContainer.innerHTML=o,e.setControllerVisibility(n.controllerVisibility),n.rootContainer.addEventListener(\"keypress\",(n=>{\"c\"===String.fromCharCode(n.charCode)&&e.toggleControllerVisibility()}))},e.delete=window.vtk.macro.chain(e.setContainer,n.openGLRenderWindow.delete,e.delete),e.resize=()=>{const e=n.container.getBoundingClientRect(),o=window.devicePixelRatio||1;n.openGLRenderWindow.setSize(Math.floor(e.width*o),Math.floor(e.height*o)),n.resizeCallback&&n.resizeCallback(e),n.renderWindow.render()},e.setResizeCallback=o=>{n.resizeCallback=o,e.resize()},n.listenWindowResize&&window.addEventListener(\"resize\",e.resize),e.resize()}(e,n)}))};i.vtkns.FullScreenRenderWindowSynchronized=e}},\n",
-       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"1abe9b6912\",\"models/ace\":\"9fecc8d0f9\",\"models/layout\":\"4c755983eb\",\"models/audio\":\"339f84d639\",\"models/card\":\"c816112d20\",\"models/comm_manager\":\"e552778259\",\"models/tabulator\":\"8e41f17634\",\"models/data\":\"f1971f81bf\",\"models/datetime_picker\":\"6e11b2cfe2\",\"models/deckgl\":\"df2378664f\",\"models/tooltips\":\"6e04fbe567\",\"models/echarts\":\"9d046c4720\",\"models/html\":\"c424a3bd17\",\"models/event-to-object\":\"3329d4aa5b\",\"models/idom\":\"7d45bd3bc4\",\"models/ipywidget\":\"0eae77d68f\",\"models/json\":\"0d30bea0c8\",\"models/file_download\":\"1767172ffa\",\"models/katex\":\"7b859fb3cf\",\"models/location\":\"642aa56b24\",\"models/mathjax\":\"0c21036737\",\"models/perspective\":\"84a772681d\",\"models/player\":\"2e8044c920\",\"models/plotly\":\"cb7735fd77\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"fd3806082d\",\"models/quill\":\"6895629dfc\",\"models/reactive_html\":\"eb3a49319b\",\"models/singleselect\":\"5ed2116e26\",\"models/speech_to_text\":\"aaa48703af\",\"models/state\":\"bfa46a5f19\",\"models/terminal\":\"edf66f5228\",\"models/text_to_speech\":\"33cd2c254e\",\"models/trend\":\"effe070807\",\"models/vega\":\"04fd346566\",\"models/video\":\"ffe54b53c3\",\"models/videostream\":\"e3e9b8e495\",\"models/vtk/index\":\"c51f25e2a7\",\"models/vtk/vtkjs\":\"b6d9199d03\",\"models/vtk/vtklayout\":\"e13c143c7d\",\"models/vtk/util\":\"993f3118b2\",\"models/vtk/vtkcolorbar\":\"c010237f8b\",\"models/vtk/vtkaxes\":\"204e2f98bd\",\"models/vtk/vtkvolume\":\"7785475bdd\",\"models/vtk/vtksynchronized\":\"0a57062475\",\"models/vtk/panel_fullscreen_renwin_sync\":\"877619fe71\"}, {});});\n",
-       "\n",
-       "      /* END panel.min.js */\n",
-       "    },\n",
-       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
-       "  ];\n",
-       "\n",
-       "  function run_inline_js() {\n",
-       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
-       "      for (var i = 0; i < inline_js.length; i++) {\n",
-       "        inline_js[i].call(root, root.Bokeh);\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(run_inline_js, 100);\n",
-       "    } else if (!root._bokeh_failed_load) {\n",
-       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
-       "      root._bokeh_failed_load = true;\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  if (root._bokeh_is_loading === 0) {\n",
-       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
-       "    run_inline_js();\n",
-       "  } else {\n",
-       "    load_libs(css_urls, js_urls, js_modules, function() {\n",
-       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "      run_inline_js();\n",
-       "    });\n",
-       "  }\n",
-       "}(window));"
-      ],
-      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      \n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [];\n  var js_modules = [];\n  var css_urls = [];\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\".bk.alert {\\n    padding: 0.75rem 1.25rem;\\n    border: 1px solid transparent;\\n    border-radius: 0.25rem;\\n    /* Don't set margin because that will not render correctly! */\\n    /* margin-bottom: 1rem; */\\n    margin-top: 15px;\\n    margin-bottom: 15px;\\n}\\n.bk.alert a {\\n    color: rgb(11, 46, 19); /* #002752; */\\n    font-weight: 700;\\n    text-decoration: rgb(11, 46, 19);\\n    text-decoration-color: rgb(11, 46, 19);\\n    text-decoration-line: none;\\n    text-decoration-style: solid;\\n    text-decoration-thickness: auto;\\n  }\\n.bk.alert a:hover {\\n    color: rgb(11, 46, 19);\\n    font-weight: 700;\\n    text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n    color: #004085;\\n    background-color: #cce5ff;\\n    border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n    border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n    color: #383d41;\\n    background-color: #e2e3e5;\\n    border-color: #d6d8db;\\n  }\\n.bk.alert-secondary hr {\\n    border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n    color: #155724;\\n    background-color: #d4edda;\\n    border-color: #c3e6cb;\\n  }\\n\\n.bk.alert-success hr {\\n    border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n    color: #0c5460;\\n    background-color: #d1ecf1;\\n    border-color: #bee5eb;\\n  }\\n.bk.alert-info hr {\\n    border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n    color: #856404;\\n    background-color: #fff3cd;\\n    border-color: #ffeeba;\\n  }\\n\\n.bk.alert-warning hr {\\n    border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n    color: #721c24;\\n    background-color: #f8d7da;\\n    border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n    border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n    color: #818182;\\n    background-color: #fefefe;\\n    border-color: #fdfdfe;\\n  }\\n.bk.alert-light hr {\\n    border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n    color: #1b1e21;\\n    background-color: #d6d8d9;\\n    border-color: #c6c8ca;\\n  }\\n.bk.alert-dark hr {\\n    border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n    color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n    color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n    color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n    color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n    color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n    color: #491217;\\n}\\n\\n.bk.alert-light a {\\n    color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n    color: #040505;\\n}\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".bk.card {\\n  border: 1px solid rgba(0,0,0,.125);\\n  border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n  border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0.25rem;\\n  display: inline-flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.accordion-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0;\\n  display: flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.card-button {\\n  background-color: transparent;\\n  margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n  position: relative !important;\\n}\\n.bk.card-title {\\n  align-items: center;\\n  font-size: 1.4em;\\n  font-weight: bold;\\n  overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n  padding-right: 1.5em !important;\\n  overflow-wrap: break-word;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".bk.panel-widget-box {\\n  min-height: 20px;\\n  background-color: #f5f5f5;\\n  border: 1px solid #e3e3e3;\\n  border-radius: 4px;\\n  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n  box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n  overflow-x: hidden;\\n  overflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n  appearance: none;\\n  -moz-appearance: none;\\n  -webkit-appearance: none;\\n  border: none;\\n  height: 20px;\\n  background-color: whiteSmoke;\\n  border-radius: 3px;\\n  box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n  color: royalblue;\\n  position: relative;\\n  margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n  background-color: whiteSmoke;\\n  border-radius: 3px;\\n  box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n  position: relative;\\n  background-size: 35px 20px, 100% 100%, 100% 100%;\\n  border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n  background-size: 35px 20px, 100% 100%, 100% 100%;\\n  border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n  border-radius:3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n  border-radius: 3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n  content:\\\" \\\";\\n  position:absolute;\\n  height: 20px;\\n  top:0;\\n  left:0;\\n  right:0;\\n  bottom:0;\\n  border-radius: 3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n  overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n  content: \\\"\\\";\\n  border-radius: 50%;\\n  -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n  width: 100%;\\n  height: 100%;\\n  left: 0;\\n  top: 0;\\n  position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n  background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n  background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n  animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n  0% { -webkit-transform: rotate(0deg); }\\n  100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n  0% { transform: rotate(0deg); }\\n  100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  background-color: #fff;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n  background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n  background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n  background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n  background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n  background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n  background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n  background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n  background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n  border: 0;\\n  border-radius: 0;\\n  min-height: 0;\\n  padding-left: 0;\\n  padding-right: 0;\\n  font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n  display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n  top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n  bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n  white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n  border: 1px solid #ccc;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".bk.pn-loading:before {\\n  position: absolute;\\n  height: 100%;\\n  width: 100%;\\n  content: '';\\n  z-index: 1000;\\n  background-color: rgb(255,255,255,0.50);\\n  border-color: lightgray;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  background-size: auto 50%;\\n  border-width: 1px;\\n  cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n  cursor: progress;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: 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Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY 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${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){a.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(a.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new S.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof S.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new S.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let a=t.get(e);null==a&&(a=E._instantiate_object(e,r,l,s),null!=i.subtype&&a.set_subtype(i.subtype)),n.set(a.id,a)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),a=E._resolve_refs(r,t,s,o);l.setv(a,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),_=(0,g.intersection)(n,i),c=[];for(const e of r)a.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of _){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),a=new Map,_=[];for(const e of s.roots.root_ids)a.set(e,l.get(e)),_.push(e);if(r.sort(),_.sort(),(0,g.difference)(r,_).length>0||(0,g.difference)(_,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){a.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?a.logger.debug(o):(a.logger.warn(\"JS/Python version mismatch\"),a.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,_=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});for(const e of _){const t=d.get(e);null!=t&&h.add_root(t)}return h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw a.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,a=E._resolve_refs(e.new,r,l,t);n.setv({[i]:a},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n      function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of(0,i.isArray)(e)?e:(0,d.values)(e))if(r=t,(0,i.isObject)(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class _{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)}register(e){const o=e.__qualified__;null==this.get(o,null)?this._known_models.set(o,e):console.warn(`Model '${o}' was already registered with this resolver`)}}s.ModelResolver=_,_.__name__=\"ModelResolver\";const g=(0,l.__importStar)(e(38));(0,s.register_models)(g);const u=(0,l.__importStar)(e(392));(0,s.register_models)(u)},\n      function _(n,t,r,e,i){e();\n      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n      //     Underscore may be freely distributed under the MIT license.\n      const o=n(9),u=Object.prototype.toString;function c(n){return!0===n||!1===n||\"[object Boolean]\"===u.call(n)}function f(n){return\"[object Number]\"===u.call(n)}function l(n){return\"[object String]\"===u.call(n)}function s(n){return\"symbol\"==typeof n}function a(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}function b(n){return a(n)&&void 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i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n      function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n      function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n      function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n      function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n      function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r<t;r++){const t=this.hatch_color.get(r),i=this.hatch_alpha.get(r),h=this.hatch_scale.get(r);e(this.hatch_pattern.get(r),t,i,h,this.hatch_weight.get(r),(t=>{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n      function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n      function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n      function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n      function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}invert(e){return this.s_invert(e)}v_invert(e){const t=new Float64Array(e.length),{s_invert:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}r_compute(e,t){const{s_compute:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}r_invert(e,t){const{s_invert:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}}r.Scale=u,_=u,u.__name__=\"Scale\",_.internal((({Ref:e})=>({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n      function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n      function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n      function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n      function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n      function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n      function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n      function _(t,i,n,a,e){a();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return a<i*e?a=i*e:e=a/i,n.x1=s+.5*a,n.x0=s-.5*a,n.y1=l+.5*e,n.y0=l-.5*e,n}_compute_min_max(t,i){let n,a,e=d.empty();for(const i of t)e=d.union(e,i);return[n,a]=0==i?[e.x0,e.x1]:[e.y0,e.y1],[n,a]}_compute_range(t,i){const n=this.range_padding;let a,e;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,l;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,h.logger.warn(`could not determine minimum data value for log axis, DataRange1d using value ${t}`)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,h.logger.warn(`could not determine maximum data value for log axis, DataRange1d using value ${i}`)),i==t)l=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let a,e;\"percent\"==this.range_padding_units?(a=Math.log(t)/Math.log(10),e=Math.log(i)/Math.log(10),l=(e-a)*(1+n)):(a=Math.log(t-n)/Math.log(10),e=Math.log(i+n)/Math.log(10),l=e-a),s=(a+e)/2}a=10**(s-l/2),e=10**(s+l/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;a=l-s/2,e=l+s/2}let s=1;this.flipped&&([a,e]=[e,a],s=-1);const l=this.follow_interval;return null!=l&&Math.abs(a-e)>l&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n      function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n      function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1<this.x0||t.x0>this.x1||t.y1<this.y0||t.y0>this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=o,o.__name__=\"BBox\"},\n      function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n      function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;s<t.length;s++){const r=t[s];if(i.has(r))throw new Error(`duplicate factor or subfactor: ${r}`);i.set(r,{value:.5+s*(1+n)+e})}return[i,(t.length-1)*n]}function d(t,n,e,i=0){var s;const r=new Map,a=new Map;for(const[n,e]of t){const t=null!==(s=a.get(n))&&void 0!==s?s:[];a.set(n,[...t,e])}let o=i,g=0;for(const[t,i]of a){const s=i.length,[a,p]=h(i,e,o);g+=p;const l=(0,c.sum)(i.map((t=>a.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i<n;i++)e[i]=this.synthetic(t[i]);return e}_init(t){const{levels:n,mapping:e,tops:i,mids:s,inside_padding:r}=(()=>{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n      function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t<n;t++)_[t]=Math.PI/2+(0,v.atan2)([e[t],s[t]],[a[t],i[t]])}paint(t){const{start:e,end:s}=this,{_sx_start:a,_sy_start:i,_sx_end:n,_sy_end:_,_angles:r}=this,{x:o,y:l,width:d,height:h}=this.plot_view.frame.bbox;for(let c=0,u=a.length;c<u;c++)null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.render(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.render(t,c),t.restore()),this.visuals.line.doit&&(t.save(),null==e&&null==s||(t.beginPath(),t.rect(o,l,d,h),null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.clip(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.clip(t,c),t.restore()),t.closePath(),t.clip()),this.visuals.line.set_vectorize(t,c),t.beginPath(),t.moveTo(a[c],i[c]),t.lineTo(n[c],_[c]),t.stroke(),t.restore())}}s.ArrowView=p,p.__name__=\"ArrowView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.Arrow=x,_=x,x.__name__=\"Arrow\",_.prototype.default_view=p,_.mixins(l.LineVector),_.define((({Ref:t,Nullable:e})=>({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n      function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n      function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n      function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n      function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n      function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n      function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n      function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length<e?(l=new t.constructor(e),l.set(t,0)):l=t;for(let t=o,n=r;t<n;t++)l[t-o]=l[t];for(let t=0,e=n.length;t<e;t++)l[t+(r-o)]=n[t];return l}{const e=new t.constructor(n);return u.concat(t,e)}}throw new Error(\"unsupported array types\")}function m(t,n){let e,s,o;return(0,i.isNumber)(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function _(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,c,a;if((0,i.isArray)(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],a=r,2===o.length?(n=[1,n[0]],c=[o[0],0,o[1]]):c=o}else(0,i.isNumber)(o)?(a=[r],e.add(o)):(a=r,s=!0),c=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,d,f]=m(c[1],n[0]),[_,p,g]=m(c[2],n[1]);for(let t=h;t<d;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=a[u],u++}return e}e.stream_to_column=f,e.slice=m,e.patch_to_column=_;class p extends c.ColumnarDataSource{constructor(t){super(t)}stream(t,n,e){const{data:s}=this;for(const[e,o]of(0,a.entries)(t))s[e]=f(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new d.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of(0,a.entries)(t))s=(0,h.union)(s,_(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new d.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=p,l=p,p.__name__=\"ColumnDataSource\",l.define((({Dict:t,Any:n})=>({data:[t(n),{}]})))},\n      function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n      function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n      function _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e<n&&n<o},function(n){function t(n,t,o,r){const c=g(n.length,t.length);o=null!=o?o:n,r=null!=r?r:t;for(let l=0;l<c;l++){const c=n[l],i=t[l],[u,a]=e.wgs84_mercator.compute(c,i);o[l]=u,r[l]=a}}n.project_xy=t,n.project_xsys=function(n,e,o,r){const c=g(n.length,e.length);o=null!=o?o:n,r=null!=r?r:e;for(let l=0;l<c;l++)t(n[l],e[l],o[l],r[l])}}(e.inplace||(e.inplace={})),e.project_xy=m,e.project_xsys=function(n,t){const e=g(n.length,t.length),o=new Array(e),r=new Array(e);for(let c=0;c<e;c++){const[e,l]=m(n[c],t[c]);o[c]=e,r[c]=l}return[o,r]}},\n      function _(e,n,t,r,o){r();const a=e(1),i=(0,a.__importDefault)(e(80)),c=(0,a.__importDefault)(e(106));var u=(0,i.default)(\"WGS84\");function f(e,n,t,r){var o,a,i;return Array.isArray(t)?(o=(0,c.default)(e,n,t,r)||{x:NaN,y:NaN},t.length>2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 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d=u.grid.subgrids[0],s=(Math.abs(d.del[1])+Math.abs(d.del[0]))/1e4,f=d.ll[0]-s,x=d.ll[1]-s,m=d.ll[0]+(d.lim[0]-1)*d.del[0]+s,N=d.ll[1]+(d.lim[1]-1)*d.del[1]+s;if(!(x>a.y||f>a.x||N<a.y||m<a.x||(i=y(a,e,d),isNaN(i.x))))break}else if(u.mandatory)return console.log(\"Unable to find mandatory grid '\"+u.name+\"'\"),-1}return isNaN(i.x)?(console.log(\"Failed to find a grid shift table for location '\"+-a.x*n.R2D+\" \"+a.y*n.R2D+\" tried: '\"+l+\"'\"),-1):(t.x=-i.x,t.y=i.y,0)}function y(r,e,t){var a={x:Number.NaN,y:Number.NaN};if(isNaN(r.x))return a;var i={x:r.x,y:r.y};i.x-=t.ll[0],i.y-=t.ll[1],i.x=(0,u.default)(i.x-Math.PI)+Math.PI;var l=f(i,t);if(e){if(isNaN(l.x))return a;l.x=i.x-l.x,l.y=i.y-l.y;var n,o,d=9;do{if(o=f(l,t),isNaN(o.x)){console.log(\"Inverse grid shift iteration failed, presumably at grid edge.  Using first approximation.\");break}n={x:i.x-(o.x+l.x),y:i.y-(o.y+l.y)},l.x+=n.x,l.y+=n.y}while(d--&&Math.abs(n.x)>1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n      function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r<h){if(c=0,_/r<h)return u.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else c=Math.atan2(I,f);e=F/_,P=(n=s/_)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),y=e*d,A=0;do{A++,i=t*(p=r/Math.sqrt(1-t*y*y))/(p+(x=s*P+F*y-p*(1-t*y*y))),o=(M=e*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(z=n*(1-i)*d)*y,P=z,y=M}while(o*o>1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n      function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n      function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n      function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n      function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n      function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n      function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n      function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n      function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n      function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n      function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n      function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n      function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e<o;e++)t.fillText(h[e],i,z),i+=_[e]+l;z+=x.height+a}else for(let e=0;e<_;e++){const s=v+(()=>{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n      function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n<s&&(n=s,t.width=s),r<u&&(r=u,t.height=u),e.save(),e.scale(a,a),e.fillStyle=\"#f00\",e.fillRect(0,0,s,u);const f=t=>{let e=0;for(let n=0;n<=i;n++)for(let r=0;r<s;r++,e+=4)if(255!=t[e])return i-n;return 0};e.font=l,e.fillStyle=\"#000\";for(const t of\"xa\")e.fillText(t,0,i/a);const{data:h}=e.getImageData(0,0,s,u),g=f(h)/a;for(const t of\"ASQ\")e.fillText(t,0,i/a);const{data:d}=e.getImageData(0,0,s,u),x=f(d)/a;for(const t of\"\\xc5\\u015agy\")e.fillText(t,0,i/a);const{data:m}=e.getImageData(0,0,s,u),B=f(m)/a,w=(t=>{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r<s;r++,e-=4)if(255!=t[e])return n-i;return 0})(m)/a;return e.restore(),{height:B+w,ascent:B,cap_height:x,x_height:g,descent:w}}})(),i=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n<u||r<i)&&(n=u,t.width=u,r=i,t.height=i),e.save(),e.scale(c,c),e.fillStyle=\"#f00\",e.fillRect(0,0,u,i);e.font=a,e.fillStyle=\"#000\",e.fillText(l,0,f/c);const h=e.measureText(l),{data:g}=e.getImageData(0,0,u,i),d=(t=>{let e=0;for(let n=0;n<=f;n++)for(let r=0;r<u;r++,e+=4)if(255!=t[e])return f-n;return 0})(g)/c,x=(t=>{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r<u;r++,e-=4)if(255!=t[e])return n-f;return 0})(g)/c;return e.restore(),{width:h.width,height:d+x,ascent:d,descent:x}}})(),f=(()=>{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n      function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o<c;o++){const c=t[o],p=s[o];t[o]=r*c+i*p+a,s[o]=n*c+e*p+h}}transform(t,s,r,n,i,e){const{a,b:h,c,d:o,e:p,f}=this;return this.a=a*t+c*s,this.c=a*r+c*n,this.e=a*i+c*e+p,this.b=h*t+o*s,this.d=h*r+o*n,this.f=h*i+o*e+f,this}translate(t,s){return this.transform(1,0,0,1,t,s)}scale(t,s){return this.transform(t,0,0,s,0,0)}skew(t,s){return this.transform(1,s,t,1,0,0)}rotate(t){const s=e(t),r=a(t);return this.transform(r,s,-s,r,0,0)}rotate_ccw(t){return this.rotate(-t)}translate_x(t){return this.translate(t,0)}translate_y(t){return this.translate(0,t)}flip(){return this.scale(-1,-1)}flip_x(){return this.scale(1,-1)}flip_y(){return this.scale(-1,1)}}r.AffineTransform=h,h.__name__=\"AffineTransform\"},\n      function _(t,e,i,l,r){l();const a=t(124),o=t(125),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return(0,n.isString)(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return(0,n.isString)(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n      function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=(0,n.Enum)(\"fixed\",\"fit\",\"min\",\"max\")},\n      function _(i,t,h,e,n){e();const s=i(124),r=i(65),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(i,t)),this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n      function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n      function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n      function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e<a.length;e++){const i=Math.round(a[e]+l*_),s=Math.round(o[e]+n*r);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,o=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,o)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,o=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,o)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),o=this.model.major_label_orientation,l=e.tick+this.model.major_label_standoff,n=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,o,this.panel.side,l,n)}_axis_label_extent(){if(null==this._axis_label_view)return 0;const t=this._axis_label_view.graphics();t.visuals=this.visuals.axis_label_text.values(),t.angle=this.panel.get_label_angle_heuristic(\"parallel\"),(0,f.isNumber)(this.plot_view.base_font_size)&&(t.base_font_size=this.plot_view.base_font_size);const e=t.size(),i=0==this.dimension?e.height:e.width,s=this.model.axis_label_standoff;return i>0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;e<n.length;e++){const i=Math.round(n[e]+d),s=Math.round(_[e]+x),a=Math.round(n[e]+u),o=Math.round(_[e]+m);t.moveTo(i,s),t.lineTo(a,o)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,o,l){if(!l.doit||0==e.length)return;const[n,_]=i,[r,h]=this.coordinates.map_to_screen(n,_),[c,b]=this.offsets,[m,d]=this.normals,x=m*(c+o),f=d*(b+o),{vertical_align:p,align:v}=this.panel.get_label_text_heuristics(s),w=this.panel.get_label_angle_heuristic(s);e.visuals=l.values(),e.angle=w,e.base_font_size=this.plot_view.base_font_size;for(let t=0;t<e.length;t++){const i=e.items[t];i.position={sx:r[t]+x,sy:h[t]+f,x_anchor:v,y_anchor:p},i instanceof g.TextBox&&(i.align=v)}const j=e.length,k=u.Indices.all_set(j),{items:y}=e,z=y.map((t=>t.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;a<t.length;a++){const o=i.get(t[a].toString());null!=o&&(s.add(o),e[a]=o.graphics())}for(const t of this._major_label_views.values())s.has(t)||(t._has_finished=!0);return new g.GraphicsBoxes(e)}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=z(this.layout.bbox.top-t.bbox.bottom);break;case\"above\":i=z(this.layout.bbox.bottom-t.bbox.top);break;case\"right\":e=z(this.layout.bbox.left-t.bbox.right);break;case\"left\":e=z(this.layout.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,o]=e,[l,n]=i,{min:_,max:r}=Math;return z(a-o)>z(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<l.length;i++)l[i]<h||l[i]>c||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n      function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n      function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n      function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n      function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)<t?e.unset(n):i=n;return e}}s.NoOverlap=m,c=m,m.__name__=\"NoOverlap\",c.define((({Number:e})=>({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n      function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n      function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n      function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n      function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n      function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(515)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n      function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n      function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n      function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const p=(e.synthetic(s)+e.synthetic(o))/2;p>i&&p<r&&(_[a].push(p),_[l].push(this.loc))}const p=this.extents.tick_label;this._draw_ticks(t,_,-3,p-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_labels[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e),r=this.tick_coords,a=[],l=t=>new h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n      function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&t<s&&e.push(r)}return e}}o.CategoricalTicker=i,i.__name__=\"CategoricalTicker\"},\n      function _(t,r,o,c,a){c();const e=t(131),n=t(9);class i extends e.TickFormatter{constructor(t){super(t)}doFormat(t,r){return(0,n.copy)(t)}}o.CategoricalTickFormatter=i,i.__name__=\"CategoricalTickFormatter\"},\n      function _(s,n,i,o,u){o();const e=s(128);class t extends e.AxisView{}i.ContinuousAxisView=t,t.__name__=\"ContinuousAxisView\";class _ extends e.Axis{constructor(s){super(s)}}i.ContinuousAxis=_,_.__name__=\"ContinuousAxis\"},\n      function _(e,t,i,a,r){var s;a();const n=e(145),m=e(150),_=e(155);class c extends n.LinearAxisView{}i.DatetimeAxisView=c,c.__name__=\"DatetimeAxisView\";class o extends n.LinearAxis{constructor(e){super(e)}}i.DatetimeAxis=o,s=o,o.__name__=\"DatetimeAxis\",s.prototype.default_view=c,s.override({ticker:()=>new _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n      function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n      function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=o;break}e[0]=(0,c.to_fixed)(i[0],o);for(let t=1;t<i.length;t++)if(e[t]=(0,c.to_fixed)(i[t],o),e[t]==e[t-1])continue i;this.last_precision=o;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),n=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,n)}}e.BasicTickFormatter=a,r=a,a.__name__=\"BasicTickFormatter\",r.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n      function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n      function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const t=(0,_.nth)(this.mantissas,-1)/this.base,i=(0,_.nth)(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const s=i-t,e=this.get_ideal_interval(t,i,a),n=Math.floor((0,l.log)(e/this.base_factor,this.base)),r=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-s/(t*r)))),v=h[(0,_.argmin)(m)]*r;return(0,l.clamp)(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=h,n=h,h.__name__=\"AdaptiveTicker\",n.define((({Number:t,Array:i,Nullable:a})=>({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))},\n      function _(t,n,i,s,e){var o;s();const r=t(130),c=t(9);class _ extends r.Ticker{constructor(t){super(t)}get_ticks(t,n,i,s){return this.get_ticks_no_defaults(t,n,s,this.desired_num_ticks)}get_ticks_no_defaults(t,n,i,s){const e=this.get_interval(t,n,s),o=Math.floor(t/e),r=Math.ceil(n/e);let 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w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" 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Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;l[t]||(Object.keys(l).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),g(t)},a.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],i=null;o[t]||(r&&Object.keys(o).forEach((function(e){i||e.split(\"-\")[1]!==r||(i=e)})),t=i||n||\"en-US\"),g(t)},a.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return u;if(e&&!n){if(!l[e])throw new Error(\"Unknown language : \"+e);g(e)}return!n&&l[e]||x(e,n),a},a.culture=function(e,n){if(!e)return u;if(e&&!n){if(!o[e])throw new Error(\"Unknown culture : \"+e);g(e)}return!n&&o[e]||x(e,n),a},a.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. Use `cultureData` instead\"),!e)return l[u];if(!l[e])throw new Error(\"Unknown language : \"+e);return l[e]},a.cultureData=function(e){if(!e)return o[u];if(!o[e])throw new Error(\"Unknown culture : \"+e);return o[e]},a.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),a.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),l},a.cultures=function(){return o},a.zeroFormat=function(e){c=\"string\"==typeof e?e:null},a.defaultFormat=function(e){s=\"string\"==typeof e?e:\"0.0\"},a.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},a.validate=function(e,n){var t,r,i,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. 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e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n      function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[(0,a.sorted_index)(this.min_intervals,s)-1,(0,a.sorted_index)(this.max_intervals,s)],_=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map((t=>Math.abs(i-r/t)));let l;if((0,a.is_empty)(_.filter((t=>!isNaN(t)))))l=this.tickers[0];else{const t=n[(0,a.argmin)(_)];l=this.tickers[t]}return l}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=l,n=l,l.__name__=\"CompositeTicker\",n.define((({Array:t,Ref:e})=>({tickers:[t(e(_.ContinuousTicker)),[]]})))},\n      function _(t,e,n,s,o){var a;s();const i=t(158),r=t(159),c=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*r.ONE_DAY:this.interval=31*r.ONE_DAY}get_ticks_no_defaults(t,e,n,s){const o=function(t,e){const n=(0,r.last_month_no_later_than)(new Date(t)),s=(0,r.last_month_no_later_than)(new Date(e));s.setUTCMonth(s.getUTCMonth()+1);const o=[],a=n;for(;o.push((0,r.copy_date)(a)),a.setUTCMonth(a.getUTCMonth()+1),!(a>s););return o}(t,e),a=this.days,i=this.interval,_=(0,c.concat)(o.map((t=>((t,e)=>{const n=t.getUTCMonth(),s=[];for(const o of a){const a=(0,r.copy_date)(t);a.setUTCDate(o),new Date(a.getTime()+e/2).getUTCMonth()==n&&s.push(a)}return s})(t,i))));return{major:_.map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.DaysTicker=_,a=_,_.__name__=\"DaysTicker\",a.define((({Int:t,Array:e})=>({days:[e(t),[]]}))),a.override({num_minor_ticks:0})},\n      function _(e,n,t,r,i){var a;r();const l=e(149);class s extends l.ContinuousTicker{constructor(e){super(e)}get_interval(e,n,t){return this.interval}get_min_interval(){return this.interval}get_max_interval(){return this.interval}}t.SingleIntervalTicker=s,a=s,s.__name__=\"SingleIntervalTicker\",a.define((({Number:e})=>({interval:[e]})))},\n      function _(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n      function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n      function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n      function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n      function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)<this.min_exponent){const t=new l.TextBox({text:(0,s.unicode_replace)(`${r**e}`)}),n=new l.TextBox({text:\"\"});return new l.BaseExpo(t,n)}{const t=new l.TextBox({text:(0,s.unicode_replace)(`${r}`)}),n=new l.TextBox({text:(0,s.unicode_replace)(`${e}`)});return new l.BaseExpo(t,n)}}))}_exponents(e,t){let n=null;const o=[];for(const r of e){const e=_(x(r)/x(t));if(n==e)return null;n=e,o.push(e)}return o}doFormat(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.doFormat(e,t):i.map((e=>u(e)<this.min_exponent?(0,s.unicode_replace)(`${r**e}`):(0,s.unicode_replace)(`${r}^${e}`)))}}n.LogTickFormatter=p,i=p,p.__name__=\"LogTickFormatter\",i.define((({Int:e,Ref:t,Nullable:n})=>({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n      function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n      function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n      function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=a.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=a.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=l,i=l,l.__name__=\"MercatorTickFormatter\",i.define((({Nullable:r})=>({dimension:[r(s.LatLon),null]})))},\n      function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n      function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n      function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n      function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e<s.length;e+=l)_.push(s[e]);return{major:_,minor:[]}}}t.BinnedTicker=m,o=m,m.__name__=\"BinnedTicker\",o.define((({Number:e,Ref:n,Or:t,Auto:r})=>({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n      function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(n<o.binning[0])return i;if(n>o.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n      function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n<i;n++){const i=t[n];isNaN(i)?e[n]=s:e[n]=this.cmap(i,o,l,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}o.ContinuousColorMapper=r,l=r,r.__name__=\"ContinuousColorMapper\",l.define((({Number:t,String:e,Ref:o,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n      function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;t<n;t++)r[t]=p(e[t]);return r}t._convert_color=p,t._convert_palette=u;class h extends c.Mapper{constructor(e){super(e)}initialize(){super.initialize(),this.metrics_change=new i.Signal0(this,\"metrics_change\")}v_compute(e){const r=new Array(e.length);return this._v_compute(e,r,this.palette,this._colors((e=>e))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n      function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n      function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{},line:{}},x={fill:{fill_alpha:.2},line:{}};class G extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),c=n(V,c),this.hover_glyph=await this.build_glyph_view(c),_=n(x,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e<l;e+=s)this.decimated.set(e);this.plot_view.invalidate_dataranges=!0}set_visuals(){var e,t,i,s;const l=this.model.data_source,{all_indices:h}=this;this.glyph.set_visuals(l,h),this.decimated_glyph.set_visuals(l,h),null===(e=this.selection_glyph)||void 0===e||e.set_visuals(l,h),null===(t=this.nonselection_glyph)||void 0===t||t.set_visuals(l,h),null===(i=this.hover_glyph)||void 0===i||i.set_visuals(l,h),null===(s=this.muted_glyph)||void 0===s||s.set_visuals(l,h)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let h;h=!l||l.is_empty()?[]:this.glyph instanceof o.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:n}=this.model.data_source,r=new Set((()=>!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=G,G.__name__=\"GlyphRendererView\";class R extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=R,h=R,R.__name__=\"GlyphRenderer\",h.prototype.default_view=G,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n      function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n      function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(421))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=h.dist_to_segment(i,l,_);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.view=this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new c.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),l=this._y):(n=this.renderer.xscale.invert(t),l=this._x);for(let e=0,t=l.length-1;e<t;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return(0,o.line_interpolation)(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){(0,o.generic_line_scalar_legend)(this.visuals,e,t)}}i.LineView=d,d.__name__=\"LineView\";class p extends r.XYGlyph{constructor(e){super(e)}}i.Line=p,_=p,p.__name__=\"Line\",_.prototype.default_view=d,_.mixins(a.LineScalar)},\n      function _(e,t,_,s,i){s();const n=e(1);var a;const o=e(78),c=(0,n.__importStar)(e(18)),p=e(179);class r extends p.GlyphView{_project_data(){o.inplace.project_xy(this._x,this._y)}_index_data(e){const{_x:t,_y:_,data_size:s}=this;for(let i=0;i<s;i++){const s=t[i],n=_[i];e.add_point(s,n)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}_.XYGlyphView=r,r.__name__=\"XYGlyphView\";class d extends p.Glyph{constructor(e){super(e)}}_.XYGlyph=d,a=d,d.__name__=\"XYGlyph\",a.define((({})=>({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n      function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;e<r;e++){const i=t[e],n=s.get(e)/2,r=o(i-n),_=o(i+n);a[e]=b(_-r)}else for(let e=0;e<r;e++){const i=t[e],n=o(i),r=o(i+s.get(e));a[e]=b(r-n)}return n&&(0,p.inplace_map)(a,(e=>m(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();this._set_visuals(),null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}_set_visuals(){}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e<o.length;e++)o[e]=_.v_synthetic(o[e]);let l;l=s instanceof a.CoordinateSeqSpec?f.RaggedArray.from(o,Float64Array):o,this._configure(`_${s.attr}`,{value:l})}else{const i=s.uniform(e).select(t);if(this._configure(s,{value:i}),s instanceof a.DistanceSpec){const e=i.is_Scalar()?i.value:(0,p.max)(i.array);this._configure(`max_${s.attr}`,{value:e})}}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(null!=s?s:null),null===(i=this.glglyph)||void 0===i||i.set_data_changed(),this.index_data()}_set_data(e){}get _index_size(){return this.data_size}index_data(){const e=new y.SpatialIndex(this._index_size);this._index_data(e),e.finish(),this._index=e}mask_data(){return null==this._mask_data?d.Indices.all_set(this.data_size):this._mask_data()}map_data(){var e;const t=this,{x_scale:s,y_scale:i}=this.renderer.coordinates;for(const e of this.model)if(e instanceof a.BaseCoordinateSpec){const n=\"x\"==e.dimension?s:i;let r=t[`_${e.attr}`];if(r instanceof f.RaggedArray){const e=n.v_compute(r.array);r=new f.RaggedArray(r.offsets,e)}else r=n.v_compute(r);this[`s${e.attr}`]=r}this._map_data(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_map_data(){}}s.GlyphView=w,w.__name__=\"GlyphView\";class S extends c.Model{constructor(e){super(e)}}s.Glyph=S,S.__name__=\"Glyph\"},\n      function _(t,s,r,e,a){var n;e();const o=t(26),h=t(11);class i{constructor(t,s){this.offsets=t,this.array=s}[(n=Symbol.toStringTag,o.equals)](t,s){return s.arrays(this.offsets,t.offsets)&&s.arrays(this.array,t.array)}get length(){return this.offsets.length}clone(){return new i(this.offsets.slice(),this.array.slice())}static from(t,s){const r=t.length;let e=0;const a=(()=>{const s=new Uint32Array(r);for(let a=0;a<r;a++){const r=t[a].length;s[a]=e,e+=r}return e<256?new Uint8Array(s):e<65536?new Uint16Array(s):s})(),n=new s(e);for(let s=0;s<r;s++)n.set(t[s],a[s]);return new i(a,n)}*[Symbol.iterator](){const{offsets:t,length:s}=this;for(let r=0;r<s;r++)yield this.array.subarray(t[r],t[r+1])}_check_bounds(t){(0,h.assert)(0<=t&&t<this.length,`Out of bounds: 0 <= ${t} < ${this.length}`)}get(t){this._check_bounds(t);const{offsets:s}=this;return this.array.subarray(s[t],s[t+1])}set(t,s){this._check_bounds(t),this.array.set(s,this.offsets[t])}}r.RaggedArray=i,i.__name__=\"RaggedArray\",i[n]=\"RaggedArray\"},\n      function _(i,t,n,e,s){e();const d=(0,i(1).__importDefault)(i(182)),o=i(24),x=i(65);function h(i,t){let n=0,e=t.length-1;for(;n<e;){const s=n+e>>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h<o;h+=4){const o=0|this._indices[h>>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];n<r||(e<l||i>a||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&s<t.x0&&(t.x0=s),o<=i.x1&&o>t.x1&&(t.x1=o),d>=i.y0&&d<t.y0&&(t.y0=d),x<=i.y1&&x>t.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n      function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new 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n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],_=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=m(_,x)}x(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_<a;_+=4){const 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t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n      function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n      function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n      function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;e<l;e++)if(n[e]!==t[e])return!1;return!0}e._cat_equals=f,e.cat_v_compute=function(n,t,e,l,i,o,r){const _=n.length;for(let g=0;g<_;g++){let _,s,h=n[g];(0,u.isString)(h)?_=(0,c.index_of)(t,h):(null!=i?h=null!=o?h.slice(i,o):h.slice(i):null!=o&&(h=h.slice(0,o)),_=1==h.length?(0,c.index_of)(t,h[0]):(0,c.find_index)(t,(n=>f(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n      function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n      function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n      function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n      function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(o<l.min)return n;const s=Math.log(o)-Math.log(l.min);let e=Math.floor(s*l.scale);return e>a&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n      function _(n,t,e,i,o){var s;i();const r=n(171),a=n(12),l=n(9),c=n(19);class h extends r.ScanningColorMapper{constructor(n){super(n)}scan(n,t){const e=null!=this.low?this.low:(0,a.min)(n),i=null!=this.high?this.high:(0,a.max)(n),o=this.bins,s=(0,l.linspace)(e,i,o+1),r=(0,a.bin_counts)(n,s),h=new Array(o);for(let n=0,t=s.length;n<t-1;n++){const t=s[n],e=s[n+1];h[n]=(t+e)/2}const g=(0,l.cumsum)(r),p=g[g.length-1],u=(0,a.map)(g,(n=>n/p));let m=t-1,f=[],M=0,_=2*t;for(;m!=t&&M<4&&0!=m;){const n=_/m;if(n>1e3)break;_=Math.round(Math.max(t*n,t));const e=(0,l.range)(0,_),i=(0,a.map)(u,(n=>n*(_-1)));f=(0,a.interpolate)(e,i,h);m=(0,l.uniq)(f).length-1,M++}if(0==m){f=[e,i];for(let n=0;n<t-1;n++)f.push(i)}else f=f.slice(f.length-t-1),m!=t&&c.logger.warn(\"EqHistColorMapper warning: Histogram equalization did not converge.\");return f[0]=e,f[f.length-1]=i,{min:e,max:i,binning:f}}}e.EqHistColorMapper=h,s=h,h.__name__=\"EqHistColorMapper\",s.define((({Int:n})=>({bins:[n,65536]})))},\n      function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n      function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e<s;e++)_[e]=n+e*o;const l=(0,c.map)(e,(e=>{if(e<a)return a;if(e>i)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n      function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n      function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n      function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n      function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s<n;s++){const e=(()=>{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t<l;t++){const i=(()=>{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t<s;t++){const i=o[t];c[t]=\"fixed\"==i.policy?i.height:0}const p=new Array(e);for(let t=0;t<e;t++){const i=l[t];p[t]=\"fixed\"==i.policy?i.width:0}const _=new f;i.foreach(((i,s)=>{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:h-=r.row_heights[t]}if(h-=(i-1)*n,0!=p&&h>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(h*(i.flex/p));h-=s,r.row_heights[t]=s,p-=i.flex}}else if(h<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-h;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=r.row_heights[o],e=g(s/t);r.row_heights[o]=a(i-e,0),s-=e>i?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?f+=i.flex:c-=r.col_widths[t]}if(c-=(s-1)*l,0!=f&&c>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(c*(i.flex/f));c-=s,r.col_widths[t]=s,f-=i.flex}}else if(c<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-c;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=r.col_widths[e],o=g(i/t);r.col_widths[e]=a(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=f[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=_[i];t.left=s,s+=t.width+n}d.foreach((({r0:t,c0:i,r1:s,c1:e},l)=>{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n      function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n      function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n      function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n      function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s<i;s++){const i=this.x_offset.get(s),l=this.y_offset.get(s),o=this.sx[s]+i,a=this.sy[s]-l,r=this.angle.get(s);t(e,s,this.text.get(s),o,a,r)}}_v_canvas_text(t,e,s,i,l,o){const a=new c.TextBox({text:s});a.angle=o,a.position={sx:i,sy:l},a.visuals=this.visuals.text.values(e);const{background_fill:r,border_line:n}=this.visuals;if(r.doit||n.doit){const{p0:s,p1:i,p2:l,p3:o}=a.rect();t.beginPath(),t.moveTo(s.x,s.y),t.lineTo(i.x,i.y),t.lineTo(l.x,l.y),t.lineTo(o.x,o.y),t.closePath(),this.visuals.background_fill.apply(t,e),this.visuals.border_line.apply(t,e)}this.visuals.text.doit&&a.paint(t)}_v_css_text(t,e,s,i,l,o){(0,u.assert)(null!=this.els);const a=this.els[e];a.textContent=s,this.visuals.text.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=`${i}px`,a.style.top=`${l}px`,a.style.color=t.fillStyle,a.style.font=t.font,a.style.lineHeight=\"normal\",a.style.whiteSpace=\"pre\";const[r,n]=(()=>{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n      function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n      function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n      function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n      function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t<e;t++)i.lineTo(r[t],_[t]);i.closePath(),this.visuals.fill.apply(i),this.visuals.hatch.apply(i),this.visuals.line.apply(i)}}e.PolyAnnotationView=_,_.__name__=\"PolyAnnotationView\";class h extends l.Annotation{constructor(t){super(t)}update({xs:t,ys:n}){this.setv({xs:t,ys:n,screen:!0},{check_eq:!1})}}e.PolyAnnotation=h,a=h,h.__name__=\"PolyAnnotation\",a.prototype.default_view=_,a.mixins([c.Line,c.Fill,c.Hatch]),a.define((({Number:t,Array:n})=>({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n      function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n      function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n      function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends 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l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n      function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends 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e=[],i=0;i<t.pointers.length;)e[i]={clientX:h(t.pointers[i].clientX),clientY:h(t.pointers[i].clientY)},i++;return{timeStamp:c(),pointers:e,center:L(e),deltaX:t.deltaX,deltaY:t.deltaY}}function L(t){var e=t.length;if(1===e)return{x:h(t[0].clientX),y:h(t[0].clientY)};for(var i=0,n=0,r=0;r<e;)i+=t[r].clientX,n+=t[r].clientY,r++;return{x:h(i/e),y:h(n/e)}}function U(t,e,i){return{x:e/t||0,y:i/t||0}}function V(t,e){return t===e?1:u(t)>=u(e)?t<0?2:4:e<0?8:16}function j(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function G(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 180*Math.atan2(r,n)/Math.PI}q.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var Z={mousedown:1,mousemove:2,mouseup:4},B=\"mousedown\",$=\"mousemove mouseup\";function J(){this.evEl=B,this.evWin=$,this.pressed=!1,q.apply(this,arguments)}g(J,q,{handler:function(t){var e=Z[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:X,srcEvent:t}))}});var K={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Q={2:N,3:\"pen\",4:X,5:\"kinect\"},tt=\"pointerdown\",et=\"pointermove pointerup 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e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r<s.length;)n[s[r].identifier]=!0,r++;for(r=0;r<o.length;)n[o[r].identifier]&&a.push(o[r]),12&e&&delete n[o[r].identifier],r++;return a.length?[D(s.concat(a),\"identifier\",!0),a]:void 0}g(ct,q,{handler:function(t){var e=ht[t.type],i=lt.call(this,t,e);i&&this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}});function pt(){q.apply(this,arguments);var t=T(this.handler,this);this.touch=new ct(this.manager,t),this.mouse=new J(this.manager,t),this.primaryTouch=null,this.lastTouches=[]}function ft(t,e){1&t?(this.primaryTouch=e.changedPointers[0].identifier,vt.call(this,e)):12&t&&vt.call(this,e)}function vt(t){var e=t.changedPointers[0];if(e.identifier===this.primaryTouch){var i={x:e.clientX,y:e.clientY};this.lastTouches.push(i);var n=this.lastTouches;setTimeout((function(){var t=n.indexOf(i);t>-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n<this.lastTouches.length;n++){var r=this.lastTouches[n],s=Math.abs(e-r.x),o=Math.abs(i-r.y);if(s<=25&&o<=25)return!0}return!1}g(pt,q,{handler:function(t,e,i){var n=i.pointerType==N,r=i.pointerType==X;if(!(r&&i.sourceCapabilities&&i.sourceCapabilities.firesTouchEvents)){if(n)ft.call(this,e,i);else if(r&&dt.call(this,i))return;this.callback(t,e,i)}},destroy:function(){this.touch.destroy(),this.mouse.destroy()}});var mt=x(a.style,\"touchAction\"),gt=mt!==r,Tt=\"compute\",yt=\"auto\",Et=\"manipulation\",It=\"none\",At=\"pan-x\",_t=\"pan-y\",Ct=function(){if(!gt)return!1;var e={},i=t.CSS&&t.CSS.supports;return[\"auto\",\"manipulation\",\"pan-y\",\"pan-x\",\"pan-x pan-y\",\"none\"].forEach((function(n){e[n]=!i||t.CSS.supports(\"touch-action\",n)})),e}();function St(t,e){this.manager=t,this.set(e)}St.prototype={set:function(t){t==Tt&&(t=this.compute()),gt&&this.manager.element.style&&Ct[t]&&(this.manager.element.style[mt]=t),this.actions=t.toLowerCase().trim()},update:function(){this.set(this.manager.options.touchAction)},compute:function(){var t=[];return f(this.manager.recognizers,(function(e){y(e.options.enable,[e])&&(t=t.concat(e.getTouchAction()))})),function(t){if(C(t,It))return It;var e=C(t,At),i=C(t,_t);if(e&&i)return It;if(e||i)return e?At:_t;if(C(t,Et))return Et;return yt}(t.join(\" \"))},preventDefaults:function(t){var e=t.srcEvent,i=t.offsetDirection;if(this.manager.session.prevented)e.preventDefault();else{var n=this.actions,r=C(n,It)&&!Ct.none,s=C(n,_t)&&!Ct[\"pan-y\"],o=C(n,At)&&!Ct[\"pan-x\"];if(r){var a=1===t.pointers.length,h=t.distance<2,u=t.deltaTime<250;if(a&&h&&u)return}if(!o||!s)return r||s&&6&i||o&&i&Y?this.preventSrc(e):void 0}},preventSrc:function(t){this.manager.session.prevented=!0,t.preventDefault()}};var bt=32;function Pt(t){this.options=s({},this.defaults,t||{}),this.id=w++,this.manager=null,this.options.enable=E(this.options.enable,!0),this.state=1,this.simultaneous={},this.requireFail=[]}function Dt(t){return 16&t?\"cancel\":8&t?\"end\":4&t?\"move\":2&t?\"start\":\"\"}function xt(t){return 16==t?\"down\":8==t?\"up\":2==t?\"left\":4==t?\"right\":\"\"}function wt(t,e){var i=e.manager;return i?i.get(t):t}function Ot(){Pt.apply(this,arguments)}function Rt(){Ot.apply(this,arguments),this.pX=null,this.pY=null}function Mt(){Ot.apply(this,arguments)}function zt(){Pt.apply(this,arguments),this._timer=null,this._input=null}function Nt(){Ot.apply(this,arguments)}function Xt(){Ot.apply(this,arguments)}function Yt(){Pt.apply(this,arguments),this.pTime=!1,this.pCenter=!1,this._timer=null,this._input=null,this.count=0}function Ft(t,e){return(e=e||{}).recognizers=E(e.recognizers,Ft.defaults.preset),new Wt(t,e)}Pt.prototype={defaults:{},set:function(t){return s(this.options,t),this.manager&&this.manager.touchAction.update(),this},recognizeWith:function(t){if(p(t,\"recognizeWith\",this))return this;var e=this.simultaneous;return e[(t=wt(t,this)).id]||(e[t.id]=t,t.recognizeWith(this)),this},dropRecognizeWith:function(t){return p(t,\"dropRecognizeWith\",this)||(t=wt(t,this),delete this.simultaneous[t.id]),this},requireFailure:function(t){if(p(t,\"requireFailure\",this))return this;var e=this.requireFail;return-1===b(e,t=wt(t,this))&&(e.push(t),t.requireFailure(this)),this},dropRequireFailure:function(t){if(p(t,\"dropRequireFailure\",this))return 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e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(n&&r&&i){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||j(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return bt},failTimeout:function(){return this._timer=l((function(){this.state=bt}),this.options.interval,this),bt},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),Ft.VERSION=\"2.0.7\",Ft.defaults={domEvents:!1,touchAction:Tt,enable:!0,inputTarget:null,inputClass:null,preset:[[Nt,{enable:!1}],[Mt,{enable:!1},[\"rotate\"]],[Xt,{direction:6}],[Rt,{direction:6},[\"swipe\"]],[Yt],[Yt,{event:\"doubletap\",taps:2},[\"tap\"]],[zt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Wt(t,e){var i;this.options=s({},Ft.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((i=this).options.inputClass||(M?it:z?ct:R?pt:J))(i,k),this.touchAction=new St(this,this.options.touchAction),qt(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function qt(t,e){var i,n=t.element;n.style&&(f(t.options.cssProps,(function(r,s){i=x(n.style,s),e?(t.oldCssProps[i]=n.style[i],n.style[i]=r):n.style[i]=t.oldCssProps[i]||\"\"})),e||(t.oldCssProps={}))}Wt.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var i;this.touchAction.preventDefaults(t);var n=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<n.length;)i=n[s],2===e.stopped||r&&i!=r&&!i.canRecognizeWith(r)?i.reset():i.recognize(t),!r&&14&i.state&&(r=e.curRecognizer=i),s++}},get:function(t){if(t instanceof Pt)return t;for(var e=this.recognizers,i=0;i<e.length;i++)if(e[i].options.event==t)return e[i];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,i=b(e,t);-1!==i&&(e.splice(i,1),this.touchAction.update())}return this},on:function(t,e){if(t!==r&&e!==r){var i=this.handlers;return f(S(t),(function(t){i[t]=i[t]||[],i[t].push(e)})),this}},off:function(t,e){if(t!==r){var i=this.handlers;return f(S(t),(function(t){e?i[t]&&i[t].splice(b(i[t],e),1):delete i[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var n=i.createEvent(\"Event\");n.initEvent(t,!0,!0),n.gesture=e,e.target.dispatchEvent(n)}(t,e);var n=this.handlers[t]&&this.handlers[t].slice();if(n&&n.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var 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.bk-tool-icon-line-edit{background-image:url(\"data:image/png;base64,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\");}'},\n      function _(o,t,e,r,b){r(),e.root=\"bk-root\",e.menu_icon=\"bk-menu-icon\",e.context_menu=\"bk-context-menu\",e.horizontal=\"bk-horizontal\",e.vertical=\"bk-vertical\",e.divider=\"bk-divider\",e.active=\"bk-active\",e.menu=\"bk-menu\",e.above=\"bk-above\",e.below=\"bk-below\",e.caret=\"bk-caret\",e.down=\"bk-down\",e.up=\"bk-up\",e.left=\"bk-left\",e.right=\"bk-right\",e.default=\".bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n      function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n      function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n      function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n      function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const 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div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n      function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.lower_head.render(e,s),e.restore();if(null!=this.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.upper_head.render(e,s),e.restore()}}s.WhiskerView=n,n.__name__=\"WhiskerView\";class d extends l.UpperLower{constructor(e){super(e)}}s.Whisker=d,a=d,d.__name__=\"Whisker\",a.prototype.default_view=n,a.mixins(o.LineVector),a.define((({Ref:e,Nullable:t})=>({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n      function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n      function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n      function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n      function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n      function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n      function _(e,t,i,s,a){var r,l=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&l(t,e,i);return n(t,e),t};s();const h=e(14),c=e(226),u=e(19),_=e(43),d=e(20),p=e(13),b=e(250),v=e(65),g=e(138),w=e(235);const y=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,g.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};u.logger.trace(\"WebGL is supported, but not the required extensions\")}else u.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else u.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class f extends c.DOMView{constructor(){super(...arguments),this.bbox=new v.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,_.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,_.div)({style:m}),this.events_el=(0,_.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,p.extend)(this.el.style,m),(0,_.append)(this.el,...e),this.ui_event_bus=new b.UIEventBus(this)}async lazy_initialize(){await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await y())}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new v.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,r,l,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(r+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*l,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(u.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new w.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=f,f.__name__=\"CanvasView\";class x extends h.HasProps{constructor(e){super(e)}}i.Canvas=x,r=x,x.__name__=\"Canvas\",r.prototype.default_view=f,r.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[d.OutputBackend,\"canvas\"]})))},\n      function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const 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t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[o,_]=this.renderer.yscale.r_compute(r,this._y[e]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new p.Selection({indices:h})}draw_legend_for_index(e,t,s){(0,_.generic_area_vector_legend)(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.AnnularWedge=g,a=g,g.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n      function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n      function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n      function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0<e&&e<1&&a.push(e);continue}const y=l*l-4*x*d,h=Math.sqrt(y);if(y<0)continue;const p=(-l+h)/(2*d);0<p&&p<1&&a.push(p);const f=(-l-h)/(2*d);0<f&&f<1&&a.push(f)}let d=a.length;const l=d;for(;d--;){const l=a[d],x=1-l,y=x*x*x*e+3*x*x*l*i+3*x*l*l*s+l*l*l*c;_[0][d]=y;const h=x*x*x*t+3*x*x*l*n+3*x*l*l*o+l*l*l*r;_[1][d]=h}return _[0][l]=e,_[1][l]=t,_[0][l+1]=c,_[1][l+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class y extends a.GlyphView{_project_data(){d.inplace.project_xy(this._x0,this._y0),d.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t,_x0:i,_y0:n,_x1:s,_y1:o,_cx0:c,_cy0:r,_cx1:a,_cy1:_}=this;for(let d=0;d<t;d++){const t=i[d],l=n[d],y=s[d],h=o[d],p=c[d],f=r[d],u=a[d],m=_[d];if(isFinite(t+y+l+h+p+f+u+m)){const[i,n,s,o]=x(t,l,y,h,p,f,u,m);e.add_rect(i,n,s,o)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:o,sy1:c,scx0:r,scy0:a,scx1:_,scy1:d}=null!=i?i:this;for(const i of t){const t=n[i],l=s[i],x=o[i],y=c[i],h=r[i],p=a[i],f=_[i],u=d[i];isFinite(t+l+x+y+h+p+f+u)&&(e.beginPath(),e.moveTo(t,l),e.bezierCurveTo(h,p,f,u,x,y),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,_.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.BezierView=y,y.__name__=\"BezierView\";class h extends a.Glyph{constructor(e){super(e)}}i.Bezier=h,c=h,h.__name__=\"Bezier\",c.prototype.default_view=y,c.define((({})=>({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n      function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),c=s(20),_=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null==i?void 0:i.regl_wrapper.has_webgl){const{MarkerGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(426))));this.glglyph=new e(i.regl_wrapper,this,\"circle\")}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];_.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new m.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=p,p.__name__=\"CircleView\";class y extends h.XYGlyph{constructor(s){super(s)}}e.Circle=y,n=y,y.__name__=\"Circle\",n.prototype.default_view=p,n.mixins([d.LineVector,d.FillVector,d.HatchVector]),n.define((({Number:s})=>({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n      function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n      function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n      function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n      function _(t,e,s,i,h){i();const r=t(1);var a;const n=t(277),o=t(24),_=(0,r.__importStar)(t(18));class c extends n.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new o.ScreenArray(t),this.sbottom=new o.ScreenArray(t);for(let e=0;e<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=c,c.__name__=\"HBarView\";class l extends n.Box{constructor(t){super(t)}}s.HBar=l,a=l,l.__name__=\"HBar\",a.prototype.default_view=c,a.define((({})=>({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))},\n      function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i<r;i++){const[r,n,a,h]=this._lrtb(i);t.add_rect(e(r,n),e(a,h),s(n,r),s(a,h))}}_render(t,e,s){const{sleft:r,sright:i,stop:n,sbottom:a}=null!=s?s:this;for(const s of e){const e=r[s],h=n[s],o=i[s],c=a[s];isFinite(e+h+o+c)&&(t.beginPath(),t.rect(e,h,o-e,c-h),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s))}}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let r=0;r<s;r++)this.stop[r]=Math.max(this.stop[r],e.start),this.sbottom[r]=Math.min(this.sbottom[r],e.end),this.sleft[r]=Math.max(this.sleft[r],t.start),this.sright[r]=Math.min(this.sright[r],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:s}=t,r=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),n=[...this.index.indices({x0:r,y0:i,x1:r,y1:i})];return new c.Selection({indices:n})}_hit_span(t){const{sx:e,sy:s}=t;let r;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(s),e=this.renderer.plot_view.frame.bbox.h_range,[i,n]=this.renderer.xscale.r_invert(e.start,e.end);r=[...this.index.indices({x0:i,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),s=this.renderer.plot_view.frame.bbox.v_range,[i,n]=this.renderer.yscale.r_invert(s.start,s.end);r=[...this.index.indices({x0:t,y0:i,x1:t,y1:n})]}return new c.Selection({indices:r})}draw_legend_for_index(t,e,s){(0,o.generic_area_vector_legend)(this.visuals,t,e,s)}}s.BoxView=_,_.__name__=\"BoxView\";class l extends h.Glyph{constructor(t){super(t)}}s.Box=l,n=l,l.__name__=\"Box\",n.mixins([a.LineVector,a.FillVector,a.HatchVector])},\n      function _(e,t,s,i,r){i();const n=e(1);var a;const o=e(179),c=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),h=e(48),_=e(20),d=e(78),p=e(184),x=e(72);class y extends o.GlyphView{scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:o}=this,c=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e<n;e++){const n=i.get(e),l=r.get(e)/2;a[e]=t*c*(n+l)/s,o[e]=-3*t*l}else for(let e=0;e<n;e++){const n=i.get(e)/2,l=r.get(e);a[e]=3*t*n,o[e]=-t*c*(l+n)*s}}_project_data(){d.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];e.add_rect(i-s,n-t,i+s,n+t)}}map_data(){[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,s){const{sx:i,sy:r,svx:n,svy:a,scale:o}=null!=s?s:this;for(const s of t){const t=i[s],c=r[s],l=o.get(s);if(isFinite(t+c+l)){e.translate(t,c),e.beginPath();for(let t=0;t<6;t++)e.lineTo(n[t]*l,a[t]*l);e.closePath(),e.translate(-t,-c),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),n=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of n)c.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new x.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new x.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[o,c]=this.renderer.yscale.r_invert(i,r),l=[...this.index.indices({x0:n,x1:a,y0:o,y1:c})];return new x.Selection({indices:l})}draw_legend_for_index(e,t,s){(0,p.generic_area_vector_legend)(this.visuals,e,t,s)}}s.HexTileView=y,y.__name__=\"HexTileView\";class u extends o.Glyph{constructor(e){super(e)}}s.HexTile=u,a=u,u.__name__=\"HexTile\",a.prototype.default_view=y,a.mixins([h.LineVector,h.FillVector,h.HatchVector]),a.define((({Number:e})=>({r:[l.NumberSpec,{field:\"r\"}],q:[l.NumberSpec,{field:\"q\"}],scale:[l.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n      function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n      function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this.image.get(t);let s;(0,o.is_NDArray)(i)?((0,c.assert)(2==i.dimension,\"expected a 2D array\"),s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=(0,g.concat)(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const[t,s,a,h]=this._lrtb(i);e.add_rect(t,h,s,a)}}_lrtb(e){const t=this.dw.get(e),i=this.dh.get(e),s=this.renderer.xscale.source_range,a=this._x[e],h=s.is_reversed?a-t:a+t,n=this.renderer.yscale.source_range,r=this._y[e],_=n.is_reversed?r-i:r+i,[d,l]=a<h?[a,h]:[h,a],[g,o]=r<_?[r,_]:[_,r];return[d,l,o,g]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this.image.length||(this.image_data=new Array(this.image.length)),null!=this._width&&this._width.length==this.image.length||(this._width=new Uint32Array(this.image.length)),null!=this._height&&this._height.length==this.image.length||(this._height=new Uint32Array(this.image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){\"data\"==this.model.properties.dw.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.dw,\"edge\",this.model.dilate):this.sw=(0,_.to_screen)(this.dw),\"data\"==this.model.properties.dh.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.dh,\"edge\",this.model.dilate):this.sh=(0,_.to_screen)(this.dh)}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),r=this._width[e],_=this._height[e],d=(a-s)/r,l=(h-n)/_;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=r-g-1),this.renderer.yscale.source_range.is_reversed&&(o=_-o-1),{index:e,dim1:g,dim2:o,flat_index:o*r+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),n=new l.Selection;for(const e of h)t!=1/0&&i!=1/0&&n.image_indices.push(this._image_index(e,s,a));return n}}i.ImageBaseView=m,m.__name__=\"ImageBaseView\";class u extends r.XYGlyph{constructor(e){super(e)}}i.ImageBase=u,n=u,u.__name__=\"ImageBase\",n.define((({Boolean:e})=>({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n      function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n      function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++)e.add_empty()}_set_data(){this._set_data_iteration++;const e=this.url.length;this.image=new Array(e);const{retry_attempts:t,retry_timeout:s}=this.model,{_set_data_iteration:r}=this;for(let a=0;a<e;a++){const e=this.url.get(a);e&&new d.ImageLoader(e,{loaded:e=>{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e<n;e++)[o[e],o[n+e]]=m(this._x[e],this.w.get(e));else o.set(this._x,0);if(i)for(let e=0;e<n;e++)[_[e],_[n+e]]=g(this._y[e],this.h.get(e));else _.set(this._y,0);const[u,p]=(0,l.minmax)(o),[f,b]=(0,l.minmax)(_);this._bounds_rect={x0:u,x1:p,y0:f,y1:b}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){\"data\"==this.model.properties.w.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.w,\"edge\",this.model.dilate):this.sw=(0,c.to_screen)(this.w),\"data\"==this.model.properties.h.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.h,\"edge\",this.model.dilate):this.sh=(0,c.to_screen)(this.h)}_render(e,t,s){const{image:r,sx:a,sy:i,sw:n,sh:o,angle:c,global_alpha:_}=null!=s?s:this,{frame:h}=this.renderer.plot_view;e.beginPath(),e.rect(h.bbox.left+1,h.bbox.top+1,h.bbox.width-2,h.bbox.height-2),e.clip();let l=!0;for(const s of t){if(!isFinite(a[s]+i[s]+c.get(s)+_.get(s)))continue;const t=r[s];null!=t?this._render_image(e,s,t,a,i,n,o,c,_):l=!1}l&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,a){switch(e){case\"top_left\":return[t,s];case\"top\":case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"right\":case\"center_right\":return[t-r,s-a/2];case\"bottom_right\":return[t-r,s-a];case\"bottom\":case\"bottom_center\":return[t-r/2,s-a];case\"bottom_left\":return[t,s-a];case\"left\":case\"center_left\":return[t,s-a/2];case\"center\":case\"center_center\":return[t-r/2,s-a/2]}}_render_image(e,t,s,r,a,i,n,o,c){isFinite(i[t])||(i[t]=s.width),isFinite(n[t])||(n[t]=s.height);const _=i[t],h=n[t],{anchor:l}=this.model,[d,m]=this._final_sx_sy(l,r[t],a[t],_,h),g=o.get(t),u=c.get(t);e.save(),e.globalAlpha=u;const p=_/2,f=h/2;g?(e.translate(d,m),e.translate(p,f),e.rotate(g),e.translate(-p,-f),e.drawImage(s,0,0,_,h),e.translate(p,f),e.rotate(-g),e.translate(-p,-f),e.translate(-d,-m)):e.drawImage(s,d,m,_,h),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=m,m.__name__=\"ImageURLView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.ImageURL=g,n=g,g.__name__=\"ImageURL\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t})=>({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n      function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,o,r,l]=(0,a.minmax2)(t,i);e.add_rect(n,r,o,l)}}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),o=n.get(s),r=Math.min(t.length,o.length);let l=!0;e.beginPath();for(let s=0;s<r;s++){const i=t[s],n=o[s];isFinite(i+n)?l?(e.moveTo(i,n),l=!1):e.lineTo(i,n):l=!0}this.visuals.line.set_vectorize(e,s),e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let s=9999;const i=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.line_width.get(e)/2),o=this.sxs.get(e),r=this.sys.get(e);let l=null;for(let e=0,i=o.length-1;e<i;e++){const i={x:o[e],y:r[e]},_={x:o[e+1],y:r[e+1]},h=c.dist_to_segment(t,i,_);h<n&&h<s&&(s=h,l=[e])}null!=l&&i.set(e,l)}return new g.Selection({indices:[...i.keys()],multiline_indices:(0,d.to_object)(i)})}_hit_span(e){const{sx:t,sy:s}=e;let i,n;\"v\"==e.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),s=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=i&&i<=t[e+1]&&s.push(e);s.length>0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n      function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i<n;i++){const n=this._xs[i],o=this._ys[i];if(0==n.length||0==o.length){t.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let t=0,i=n.length;t<i;t++){const i=n[t][0],c=o[t][0];if(0!=i.length&&0!=c.length){const[t,n]=(0,_.minmax)(i),[o,d]=(0,_.minmax)(c);r=e(r,t),l=s(l,n),h=e(h,o),a=s(a,d)}}t.add_rect(r,h,l,a)}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:t,max:e}=Math,{data_size:s}=this,n=new l.SpatialIndex(s);for(let i=0;i<s;i++){const s=this._xs[i],o=this._ys[i];if(0==s.length||0==o.length){n.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let n=0,i=s.length;n<i;n++){const i=s[n],c=o[n];if(i.length>1&&c.length>1)for(let s=1,n=i.length;s<n;s++){const[n,o]=(0,_.minmax)(i[s]),[d,x]=(0,_.minmax)(c[s]);r=t(r,n),l=e(l,o),h=t(h,d),a=e(a,x)}}n.add_rect(r,h,l,a)}return n.finish(),n}_mask_data(){const{x_range:t,y_range:e}=this.renderer.plot_view.frame;return this.index.indices({x0:t.min,x1:t.max,y0:e.min,y1:e.max})}_render(t,e,s){if(this.visuals.fill.doit||this.visuals.line.doit){const{sxs:n,sys:i}=null!=s?s:this;for(const s of e){t.beginPath();const e=n[s],o=i[s],r=Math.min(e.length,o.length);for(let s=0;s<r;s++){const n=e[s],i=o[s],r=Math.min(n.length,i.length);for(let e=0;e<r;e++){const s=n[e],o=i[e],r=Math.min(s.length,o.length);for(let e=0;e<r;e++){const n=s[e],i=o[e];0==e?t.moveTo(n,i):t.lineTo(n,i)}t.closePath()}}this.visuals.fill.apply(t,s,\"evenodd\"),this.visuals.hatch.apply(t,s,\"evenodd\"),this.visuals.line.apply(t,s)}}}_hit_rect(t){const{sx0:e,sx1:s,sy0:n,sy1:i}=t,o=[e,s,s,e],r=[n,n,i,i],[l,h]=this.renderer.xscale.r_invert(e,s),[a,_]=this.renderer.yscale.r_invert(n,i),c=this.index.indices({x0:l,x1:h,y0:a,y1:_}),d=[];for(const t of c){const e=this.sxs[t],s=this.sys[t];let n=!0;for(let t=0,i=e.length;t<i;t++){for(let i=0,l=e[t][0].length;i<l;i++){const l=e[t][0][i],h=s[t][0][i];if(!x.point_in_poly(l,h,o,r)){n=!1;break}}if(!n)break}n&&d.push(t)}return new f.Selection({indices:d})}_hit_point(t){const{sx:e,sy:s}=t,n=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),o=this.index.indices({x0:n,y0:i,x1:n,y1:i}),r=this._hole_index.indices({x0:n,y0:i,x1:n,y1:i}),l=[];for(const t of o){const n=this.sxs[t],i=this.sys[t];for(let o=0,h=n.length;o<h;o++){const h=n[o].length;if(x.point_in_poly(e,s,n[o][0],i[o][0]))if(1==h)l.push(t);else if(r.get(t)){if(h>1){let r=!1;for(let t=1;t<h;t++){const l=n[o][t],h=i[o][t];if(x.point_in_poly(e,s,l,h)){r=!0;break}}r||l.push(t)}}else l.push(t)}}return new f.Selection({indices:l})}_get_snap_coord(t){return(0,c.sum)(t)/t.length}scenterxy(t,e,s){if(1==this.sxs[t].length){return[this._get_snap_coord(this.sxs[t][0][0]),this._get_snap_coord(this.sys[t][0][0])]}{const n=this.sxs[t],i=this.sys[t];for(let t=0,o=n.length;t<o;t++)if(x.point_in_poly(e,s,n[t][0],i[t][0])){return[this._get_snap_coord(n[t][0]),this._get_snap_coord(i[t][0])]}}(0,g.unreachable)()}map_data(){const t=this._xs.length;this.sxs=new Array(t),this.sys=new Array(t);for(let e=0;e<t;e++){const t=this._xs[e].length;this.sxs[e]=new Array(t),this.sys[e]=new Array(t);for(let s=0;s<t;s++){const t=this._xs[e][s].length;this.sxs[e][s]=new Array(t),this.sys[e][s]=new Array(t);for(let n=0;n<t;n++){const[t,i]=this.renderer.coordinates.map_to_screen(this._xs[e][s][n],this._ys[e][s][n]);this.sxs[e][s][n]=t,this.sys[e][s][n]=i}}}}draw_legend_for_index(t,e,s){(0,a.generic_area_vector_legend)(this.visuals,t,e,s)}}s.MultiPolygonsView=p,p.__name__=\"MultiPolygonsView\";class m extends h.Glyph{constructor(t){super(t)}}s.MultiPolygons=m,r=m,m.__name__=\"MultiPolygons\",r.prototype.default_view=p,r.define((({})=>({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n      function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n      function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,r,a,o]=(0,_.minmax2)(t,i);e.add_rect(n,a,r,o)}}_mask_data(){const{x_range:e,y_range:t}=this.renderer.plot_view.frame;return this.index.indices({x0:e.min,x1:e.max,y0:t.min,y1:t.max})}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),r=n.get(s);let a=!0;e.beginPath();const o=Math.min(t.length,r.length);for(let s=0;s<o;s++){const i=t[s],n=r[s];isFinite(i+n)?a?(e.moveTo(i,n),a=!1):e.lineTo(i,n):(e.closePath(),a=!0)}e.closePath(),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],a=[i,i,n,n],[o,c]=this.renderer.xscale.r_invert(t,s),[_,h]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:c,y0:_,y1:h}),p=[];for(const e of d){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],o=s[e];if(!l.point_in_poly(n,o,r,a)){i=!1;break}}i&&p.push(e)}return new y.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),a=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let o=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(o,c),_=n.subarray(o,c);if(l.point_in_poly(t,s,r,_)){a.push(e);break}o=c+1}if(c==r)break}}return new y.Selection({indices:a})}_get_snap_coord(e){return(0,_.sum)(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let a=!1;for(let e=0,o=0;;o++){const c=isNaN(i[o]);if(a=a||c,o==r&&!a){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||o==r){const r=i.subarray(e,o),a=n.subarray(e,o);if(l.point_in_poly(t,s,r,a)){return[this._get_snap_coord(r),this._get_snap_coord(a)]}e=o+1}if(o==r)break}(0,p.unreachable)()}draw_legend_for_index(e,t,s){(0,c.generic_area_vector_legend)(this.visuals,e,t,s)}}s.PatchesView=f,f.__name__=\"PatchesView\";class g extends o.Glyph{constructor(e){super(e)}}s.Patches=g,a=g,g.__name__=\"Patches\",a.prototype.default_view=f,a.define((({})=>({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n      function _(t,e,o,i,s){i();const r=t(1);var n;const _=t(277),d=(0,r.__importStar)(t(18));class a extends _.BoxView{scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}o.QuadView=a,a.__name__=\"QuadView\";class c extends _.Box{constructor(t){super(t)}}o.Quad=c,n=c,c.__name__=\"Quad\",n.prototype.default_view=a,n.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))},\n      function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a<r;a++){const r=t[a],_=i[a],d=n[a],l=s[a],y=c[a],p=o[a];if(isFinite(r+_+d+l+y+p)){const[t,i]=x(r,y,_),[n,s]=x(d,p,l);e.add_rect(t,n,i,s)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:c,sy1:o,scx:r,scy:a}=null!=i?i:this;for(const i of t){const t=n[i],_=s[i],d=c[i],l=o[i],x=r[i],y=a[i];isFinite(t+_+d+l+x+y)&&(e.beginPath(),e.moveTo(t,_),e.quadraticCurveTo(x,y,d,l),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,d.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.QuadraticView=y,y.__name__=\"QuadraticView\";class p extends _.Glyph{constructor(e){super(e)}}i.Quadratic=p,o=p,p.__name__=\"Quadratic\",o.prototype.default_view=y,o.define((({})=>({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n      function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e<t;e++)0==i[e]&&(i[e]=s)}_render(e,t,s){const{sx:i,sy:n,slength:l,angle:a}=null!=s?s:this;if(this.visuals.line.doit)for(const s of t){const t=i[s],r=n[s],o=a.get(s),h=l[s];isFinite(t+r+o+h)&&(e.translate(t,r),e.rotate(o),e.beginPath(),e.moveTo(0,0),e.lineTo(h,0),this.visuals.line.set_vectorize(e,s),e.stroke(),e.rotate(-o),e.translate(-t,-r))}}draw_legend_for_index(e,t,s){(0,o.generic_line_vector_legend)(this.visuals,e,t,s)}}s.RayView=g,g.__name__=\"RayView\";class d extends r.XYGlyph{constructor(e){super(e)}}s.Ray=d,a=d,d.__name__=\"Ray\",a.prototype.default_view=g,a.mixins(h.LineVector),a.define((({})=>({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n      function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(425))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sx0[e]=this.sx[e]-this.sw[e]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this.height,this.renderer.yscale);else{this.sh=(0,_.to_screen)(this.height);const t=this.sy.length;this.sy1=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sy1[e]=this.sy[e]-this.sh[e]/2}const t=this.sw.length;this.ssemi_diag=new _.ScreenArray(t);for(let e=0;e<t;e++)this.ssemi_diag[e]=Math.sqrt(this.sw[e]/2*this.sw[e]/2+this.sh[e]/2*this.sh[e]/2)}_render(t,e,s){const{sx:i,sy:r,sx0:n,sy1:h,sw:a,sh:l,angle:o}=null!=s?s:this;for(const s of e){const e=i[s],c=r[s],_=n[s],d=h[s],f=a[s],y=l[s],u=o.get(s);isFinite(e+c+_+d+f+y+u)&&(0!=f&&0!=y&&(t.beginPath(),u?(t.translate(e,c),t.rotate(u),t.rect(-f/2,-y/2,f,y),t.rotate(-u),t.translate(-e,-c)):t.rect(_,d,f,y),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s)))}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:e,sy:s}=t;const i=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(s),n=this.sx0.length,h=new _.ScreenArray(n);for(let t=0;t<n;t++)h[t]=this.sx0[t]+this.sw[t]/2;const a=new _.ScreenArray(n);for(let t=0;t<n;t++)a[t]=this.sy1[t]+this.sh[t]/2;const l=(0,d.max)(this._ddist(0,h,this.ssemi_diag)),o=(0,d.max)(this._ddist(1,a,this.ssemi_diag)),c=i-l,y=i+l,u=r-o,w=r+o;let g,p;const x=[];for(const t of this.index.indices({x0:c,x1:y,y0:u,y1:w})){const i=this.angle.get(t);if(i){const r=Math.sin(-i),n=Math.cos(-i),h=n*(e-this.sx[t])-r*(s-this.sy[t])+this.sx[t],a=r*(e-this.sx[t])+n*(s-this.sy[t])+this.sy[t];e=h,s=a,g=Math.abs(this.sx[t]-e)<=this.sw[t]/2,p=Math.abs(this.sy[t]-s)<=this.sh[t]/2}else{const i=e-this.sx0[t],r=s-this.sy1[t];g=0<=i&&i<=this.sw[t],p=0<=r&&r<=this.sh[t]}g&&p&&x.push(t)}return new f.Selection({indices:x})}_map_dist_corner_for_data_side_length(t,e,s){const i=t.length,r=new Float64Array(i),n=new Float64Array(i);for(let s=0;s<i;s++){const i=t[s],h=e.get(s)/2;r[s]=i-h,n[s]=i+h}const h=s.v_compute(r),a=s.v_compute(n),l=this.sdist(s,r,e,\"edge\",this.model.dilate);let o=h;for(let t=0;t<i;t++){const e=h[t],s=a[t];if(!isNaN(e+s)&&e!=s){o=e<s?h:a;break}}return[l,o]}_ddist(t,e,s){const i=(0,_.infer_type)(e,s),r=0==t?this.renderer.xscale:this.renderer.yscale,n=e,h=n.length,a=new i(h);for(let t=0;t<h;t++)a[t]=n[t]+s[t];const l=r.v_invert(n),o=r.v_invert(a),c=l.length,d=new i(c);for(let t=0;t<c;t++)d[t]=Math.abs(o[t]-l[t]);return d}draw_legend_for_index(t,e,s){(0,c.generic_area_vector_legend)(this.visuals,t,e,s)}}s.RectView=y,y.__name__=\"RectView\";class u extends o.CenterRotatable{constructor(t){super(t)}}s.Rect=u,n=u,u.__name__=\"Rect\",n.prototype.default_view=y,n.define((({Boolean:t})=>({dilate:[t,!1]})))},\n      function _(e,t,s,r,i){r();const a=e(1);var n;const l=e(292),_=e(293),c=(0,a.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{MarkerGL:t}=await Promise.resolve().then((()=>(0,a.__importStar)(e(426))));this.glcls=t}}_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const{regl_wrapper:t}=e;if(t.has_webgl){const e=new Set(null!=this.base?this.base.marker:this.marker);if(1==e.size){const[s]=[...e],r=this.glcls;if(null==r?void 0:r.is_supported(s)){const{glglyph:e}=this;if(null==e||e.marker_type!=s)return void(this.glglyph=new r(t,this,s))}}}}delete this.glglyph}_set_visuals(){this._init_webgl()}_render(e,t,s){const{sx:r,sy:i,size:a,angle:n,marker:l}=null!=s?s:this;for(const s of t){const t=r[s],c=i[s],o=a.get(s),g=n.get(s),h=l.get(s);if(!isFinite(t+c+o+g)||null==h)continue;const w=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,s,w,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:s,y0:r,y1:i},a){const n=a+1,l=this.marker.get(a),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:s,y0:r,y1:i},a)),{marker:new c.UniformScalar(l,n)});this._render(e,[a],_)}}s.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}s.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n      function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e<r;e++){const r=n[e];_.point_in_poly(this.sx[e],this.sy[e],t,s)&&i.push(r)}return new x.Selection({indices:i})}_get_legend_args({x0:e,x1:t,y0:s,y1:n},i){const r=i+1,a=new Array(r),c=new Array(r);a[i]=(e+t)/2,c[i]=(s+n)/2;const o=.4*Math.min(Math.abs(t-e),Math.abs(n-s));return{sx:a,sy:c,size:new h.UniformScalar(o,r),angle:new h.UniformScalar(0,r)}}draw_legend_for_index(e,{x0:t,x1:s,y0:n,y1:i},r){const a=this._get_legend_args({x0:t,x1:s,y0:n,y1:i},r);this._render(e,[r],a)}}s.MarkerView=d,d.__name__=\"MarkerView\";class y extends c.XYGlyph{constructor(e){super(e)}}s.Marker=y,a=y,y.__name__=\"Marker\",a.mixins([o.LineVector,o.FillVector,o.HatchVector]),a.define((({Number:e})=>({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n      function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n      function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)<t&&a.push(e)}return new l.Selection({indices:a})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,o,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,o]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,o]=[this._x0,this._x1]);const h=[],[c,a]=this.renderer.xscale.r_invert(t.start,t.end),[d,x]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:c,y0:d,x1:a,y1:x});for(const t of y){(r[t]<=_&&_<=o[t]||o[t]<=_&&_<=r[t])&&h.push(t);const s=1.5+this.line_width.get(t)/2;r[t]==o[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&h.push(t):Math.abs(this.sy0[t]-n)<=s&&h.push(t))}return new l.Selection({indices:h})}scenterxy(e){return[this.sx0[e]/2+this.sx1[e]/2,this.sy0[e]/2+this.sy1[e]/2]}draw_legend_for_index(e,t,s){(0,x.generic_line_vector_legend)(this.visuals,e,t,s)}}s.SegmentView=y,y.__name__=\"SegmentView\";class p extends d.Glyph{constructor(e){super(e)}}s.Segment=p,o=p,p.__name__=\"Segment\",o.prototype.default_view=y,o.define((({})=>({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n      function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n      function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n<f;n++){const s=(i[n+1]-i[n-1])*o,c=(u[n+1]-u[n-1])*o,l=(i[n+2]-i[n])*o,r=(u[n+2]-u[n])*o;for(let o=0;o<=4*e;t++){const e=g[o++],f=g[o++],w=g[o++],a=g[o++];h[t]=e*i[n]+f*i[n+1]+w*s+a*l,_[t]=e*u[n]+f*u[n+1]+w*c+a*r}}return[h,_]}},\n      function _(e,t,n,s,i){s();const o=e(1);var l;const a=e(178),r=e(184),c=(0,o.__importStar)(e(48)),_=e(20),d=e(11);class f extends a.XYGlyphView{_render(e,t,n){const{sx:s,sy:i}=null!=n?n:this;let o=!1,l=null;this.visuals.line.set_value(e);const a=t.length;if(!(a<2)){e.beginPath(),e.moveTo(s[0],i[0]);for(const n of t){let t,a,r,c;switch(this.model.mode){case\"before\":[t,r]=[s[n-1],i[n]],[a,c]=[s[n],i[n]];break;case\"after\":[t,r]=[s[n],i[n-1]],[a,c]=[s[n],i[n]];break;case\"center\":{const e=(s[n-1]+s[n])/2;[t,r]=[e,i[n-1]],[a,c]=[e,i[n]];break}default:(0,d.unreachable)()}if(o){if(!isFinite(s[n]+i[n])){e.stroke(),e.beginPath(),o=!1,l=n;continue}null!=l&&n-l>1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n      function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],o=this._sys[t],_=n.length;for(let h=0,l=_;h<l;h++){const[l,a]=this._rotate_point(e,s,n[_-1][0],o[_-1][0],-this.angle.get(t));r.point_in_poly(l,a,n[h],o[h])&&i.push(t)}}return new u.Selection({indices:i})}scenterxy(t){const e=this._sxs[t],s=this._sys[t];(0,x.assert)(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],o=(e[0][2]+i)/2,_=(s[0][2]+n)/2,[h,l]=this._rotate_point(o,_,i,n,this.angle.get(t));return[h,l]}}s.TextView=f,f.__name__=\"TextView\";class p extends h.XYGlyph{constructor(t){super(t)}}s.Text=p,_=p,p.__name__=\"Text\",_.prototype.default_view=f,_.mixins(l.TextVector),_.define((({})=>({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n      function _(t,s,e,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class c extends a.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=c,c.__name__=\"VBarView\";class p extends a.Box{constructor(t){super(t)}}e.VBar=p,o=p,p.__name__=\"VBar\",o.prototype.default_view=c,o.define((({})=>({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n      function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),l=e(184),d=e(48),o=e(24),h=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,o.to_screen)(this.radius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,l=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],d=n[t],o=r[t],h=a.get(t),_=c.get(t);isFinite(s+d+o+h+_)&&(e.beginPath(),e.arc(s,d,o,h,_,l),e.lineTo(s,d),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r,a,c,l,d;const{sx:o,sy:h}=e,_=this.renderer.xscale.invert(o),p=this.renderer.yscale.invert(h),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=_-x,c=_+x,l=p-x,d=p+x):(t=o-x,i=o+x,[a,c]=this.renderer.xscale.r_invert(t,i),n=h-x,r=h+x,[l,d]=this.renderer.yscale.r_invert(n,r));const y=[];for(const e of this.index.indices({x0:a,x1:c,y0:l,y1:d})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(_,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&y.push(e)}const f=\"anticlock\"==this.model.direction,m=[];for(const e of y){const s=Math.atan2(h-this.sy[e],o-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),f)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,l.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class x extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=x,a=x,x.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n      function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n      function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e<t.data.start.length;e++)((0,_.contains)(n,t.data.start[e])||(0,_.contains)(n,t.data.end[e]))&&s.push(e);const o=new i.Selection;for(const e of s)o.multiline_indices[e]=[0];return o.indices=s,o}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,d,n);const o=t.edge_renderer.data_source.selected,r=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model);o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model),_=this.get_linked_edges(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!o.is_empty()}}d.NodesAndLinkedEdges=u,u.__name__=\"NodesAndLinkedEdges\";class m extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}get_linked_nodes(e,t,d){let n=[];\"selection\"==d?n=t.selected.indices:\"inspection\"==d&&(n=t.inspected.indices);const s=[];for(const e of n)s.push(t.data.start[e]),s.push(t.data.end[e]);const o=(0,_.uniq)(s).map((t=>(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n      function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t<e;t++){const a=this.graph_layout[l[t]],[e,r]=null!=a?a:[NaN,NaN];n[t]=e,o[t]=r}return[n,o]}get_edge_coordinates(t){var a,l;const e=null!==(a=t.data.start)&&void 0!==a?a:[],n=null!==(l=t.data.end)&&void 0!==l?l:[],o=Math.min(e.length,n.length),r=[],u=[],s=null!=t.data.xs&&null!=t.data.ys;for(let a=0;a<o;a++){const l=null!=this.graph_layout[e[a]]&&null!=this.graph_layout[n[a]];if(s&&l)r.push(t.data.xs[a]),u.push(t.data.ys[a]);else{let t,o;l?(t=this.graph_layout[e[a]],o=this.graph_layout[n[a]]):(t=[NaN,NaN],o=[NaN,NaN]),r.push([t[0],o[0]]),u.push([t[1],o[1]])}}return[r,u]}}l.StaticLayoutProvider=u,o=u,u.__name__=\"StaticLayoutProvider\",o.define((({Number:t,Tuple:a,Dict:l})=>({graph_layout:[l(a(t,t)),{}]})))},\n      function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n      function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;s<e.length-1;s++){if(s%2!=1)continue;const[t,r]=this.coordinates.map_to_screen(e[s],n[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],n[s+1]);i.beginPath(),i.rect(t[0],r[0],o[1]-t[0],d[1]-r[0]),this.visuals.band_fill.apply(i),this.visuals.band_hatch.apply(i)}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,n]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,n)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,n]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,n)}_draw_grid_helper(i,e,n,s){e.set_value(i),i.beginPath();for(let e=0;e<n.length;e++){const[t,r]=this.coordinates.map_to_screen(n[e],s[e]);i.moveTo(Math.round(t[0]),Math.round(r[0]));for(let e=1;e<t.length;e++)i.lineTo(Math.round(t[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:n}=this.coordinates;return[n[i],n[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,n=[i.min,i.max];let s,t;if((0,h.isArray)(e))s=Math.min(e[0],e[1]),t=Math.max(e[0],e[1]),s<n[0]&&(s=n[0]),t>n[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const t=[],r=[],o=2;for(let e=0;e<o;e++){const n=u+(m-u)/(o-1)*e;t.push(l[i]),r.push(n)}_[n].push(t),_[s].push(r)}return _}}n.GridView=c,c.__name__=\"GridView\";class u extends _.GuideRenderer{constructor(i){super(i)}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}n.Grid=u,o=u,u.__name__=\"Grid\",o.prototype.default_view=c,o.mixins([[\"grid_\",l.Line],[\"minor_grid_\",l.Line],[\"band_\",l.Fill],[\"band_\",l.Hatch]]),o.define((({Number:i,Auto:e,Enum:n,Ref:s,Tuple:t,Or:r,Nullable:o})=>({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n      function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n      function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n      function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n      function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n      function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n      function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n      function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n      function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n      function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n      function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n      function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 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_(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > 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L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n      function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i<e.length;i++){const s=e[i];if(s instanceof h.Title){e[i]=\"above\"==v||\"below\"==v?[s,this._toolbar]:[this._toolbar,s],t=!1;break}}t&&e.push(this._toolbar)}const b=(e,t)=>{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout((()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n      function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n      function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>=o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&r<=o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>=o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<=o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r<e&&(s=(o-e)/(o-r)),null!=a&&a>0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n      function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.index<this.history.length-1}}s.StateManager=a,a.__name__=\"StateManager\"},\n      function _(t,e,s,o,i){o();const a=t(19),n=t(15),p=t(43),l=t(78),_=t(22),h=t(332),m=new n.Signal0({},\"gmaps_ready\");class d extends h.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,!this.model.api_key){const t=\"https://developers.google.com/maps/documentation/javascript/get-api-key\";a.logger.error(`api_key is required. See ${t} for more information on how to obtain your own.`)}if(\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){const{api_key:t,api_version:e}=this.model;!function(t,e){window._bokeh_gmaps_callback=()=>m.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n      function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n      function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n      function _(e,r,i,n,t){var d;n();const o=e(176),s=e(175),a=e(303),l=e(302),p=e(113),_=e(178),h=e(283),y=e(286);class c extends o.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,p.build_view)(r,{parent:e}),this.node_view=await(0,p.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y},this.model.edge_renderer=e,this.model.node_renderer=r}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof s.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends o.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,d=g,g.__name__=\"GraphRenderer\",d.prototype.default_view=c,d.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(s.GlyphRenderer)],edge_renderer:[e(s.GlyphRenderer)],selection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly],inspection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly]})))},\n      function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n      function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n      function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n      function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n      function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"Polygon\":{e.coordinates.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPoint\":i.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e<s.length;e++){const[r,n,a]=s[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=_(a)}break}default:throw new Error(`Invalid GeoJSON geometry type: ${e.type}`)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=u,s=u,u.__name__=\"GeoJSONDataSource\",s.define((({String:e})=>({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n      function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n      function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n      function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,n]=(0,l.meters_extent_to_geographic)(_);return[s,r,o,n]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(`Invalid Quadkey: ${t}`)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n      function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n      function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n      function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n      function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let o=t.get_level_by_extent(s,n,a),r=!1;o<e?(s=this.extent,o=e,r=!0):o>i&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n      function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n      function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n      function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n      function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n      function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n      function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n      function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n      function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n      function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n      function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n      function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n      function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n      function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n      function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n      function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n      function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n      function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n      function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||((0,c.isArray)(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const r of t){const t=this._map_drag(o,n,r),i=this._map_drag(e.sx,e.sy,r);if(null==i||null==t)continue;const[c,a]=i,[_,l]=t,[d,u]=[c-_,a-l],h=r.glyph,m=r.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(m.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())(0,i.includes)(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:r}=e;if(!o.bbox.contains(n,r))return[];const i={type:\"point\",sx:n,sy:r},c=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=this.plot_view.renderer_view(e);if(null!=n){s.select([n],i,!0,t)&&c.push(e),o.properties.selected.change.emit()}}return c}}s.EditToolView=d,d.__name__=\"EditToolView\";class u extends l.GestureTool{constructor(e){super(e)}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=u,r=u,u.__name__=\"EditTool\",r.define((({Unknown:e,String:t,Array:s,Ref:o,Nullable:n})=>({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n      function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n      function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n      function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n      function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],a=i.data_source,r=i.glyph,[o,n]=[r.xs.field,r.ys.field];if(o)for(const t of a.get_array(o))e.push(...t);if(n)for(const e of a.get_array(n))t.push(...e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,a]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(a){const e=t.data[a].length-1,s=t.get_array(a)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===o.Keys.Backspace?this._delete_selected(t):e.keyCode==o.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const a=this._map_drag(t,s,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==a)continue;const o=i.data_source,n=i.glyph,[d,_]=[n.xs.field,n.ys.field];if(!d&&!_)continue;const[h,l]=r,[c,g]=a,[f,p]=[h-c,l-g];for(const e of o.selected.indices){let t,s,i;d&&(s=o.data[d][e]),_?(i=o.data[_][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=f),i&&(i[e]+=p)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,(()=>this._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n      function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n      function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n      function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n      function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n      function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.trigger_ranges_update_event()}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.state.push(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=h,h.__name__=\"BoxZoomToolView\";const c=()=>new a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n      function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n      function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n      function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n      function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n      function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(n<t.start||n>t.end)&&(this.v_axis_only=!0),(e<s.start||e>s.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n      function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)<s}function c(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e<t.end?(t.start=e,i):(t.start=t.end,t.end=e,d(i))}function m(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=g(e.start,e.end,s);g(a,r,s)>=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n      function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n      function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n      function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.start<n&&n<s.end,r=(\"height\"==h||\"both\"==h)&&i.start<l&&l<i.end;if(!(a&&r||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,d=(0,_.scale_range)(t,m,a,r,{x:n,y:l});this.plot_view.state.push(\"wheel_zoom\",{range:d});const{maintain_focus:c}=this.model;this.plot_view.update_range(d,{scrolling:!0,maintain_focus:c}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n      function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n      function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n      function _(e,t,n,s,o){s();const i=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=(0,i.__importStar)(e(185)),y=e(152),f=e(43),v=e(22),x=e(13),w=e(234),g=e(8),b=e(113),k=e(20),C=e(228),S=e(15),T=e(66),$=(0,i.__importStar)(e(242)),R=e(392);function M(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=m.dist_2_pts(r,e),c=m.dist_2_pts(l,e)}return a<c?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function G(e,t,n){return[[e[n],t[n]],n]}n._nearest_line_hit=M,n._line_hit=G;class z extends l.InspectToolView{initialize(){super.initialize(),this._ttmodels=new Map,this._ttviews=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._update_ttmodels();const{tooltips:e}=this.model;e instanceof R.Template&&(this._template_view=await(0,b.build_view)(e,{parent:this}),this._template_view.render())}remove(){var e;null===(e=this._template_view)||void 0===e||e.remove(),(0,b.remove_views)(this._ttviews),super.remove()}connect_signals(){super.connect_signals();const e=this.plot_model.properties.renderers,{renderers:t,tooltips:n}=this.model.properties;this.on_change(n,(()=>delete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,g.isString)(n)||(0,g.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,b.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));S.Signal.disconnect_receiver(this,i,e)}for(const e of o)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,T.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager(),r=i.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty())return void o.clear();const a=i.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,m=c.coordinates.x_scale,y=c.coordinates.y_scale,v=m.invert(d),w=y.invert(p),{glyph:g}=c,b=[];if(g instanceof h.LineView)for(const n of l.line_indices){let s,o,i=g._x[n+1],r=g._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,r]=g.get_interpolation_hit(n,t),s=m.compute(i),o=y.compute(r);break;case\"prev\":[[s,o],c]=G(g.sx,g.sy,n);break;case\"next\":[[s,o],c]=G(g.sx,g.sy,n+1);break;case\"nearest\":[[s,o],c]=M(n,t,d,p,g.sx,g.sy),i=g._x[c],r=g._y[c];break;default:[s,o]=[d,p]}const _={index:c,x:v,y:w,sx:d,sy:p,data_x:i,data_y:r,rx:s,ry:o,indices:l.line_indices,name:e.name};b.push([s,o,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:v,y:w,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);b.push([d,p,s])}for(const o of l.indices)if(g instanceof u.MultiLineView&&!(0,x.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[o.toString()]){let s,i,r,c=g._xs.get(o)[n],h=g._ys.get(o)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=g.get_interpolation_hit(o,n,t),s=m.compute(c),i=y.compute(h);break;case\"prev\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n);break;case\"next\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n+1);break;case\"nearest\":[[s,i],u]=M(n,t,d,p,g.sxs.get(o),g.sys.get(o)),c=g._xs.get(o)[u],h=g._ys.get(o)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const f={index:r,x:v,y:w,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};b.push([s,i,this._render_tooltips(a,r,f)])}else{const t=null===(n=g._x)||void 0===n?void 0:n[o],i=null===(s=g._y)||void 0===s?void 0:s[o];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=g.get_anchor_point(this.model.anchor,o,[d,p]);if(null==e&&(e=g.get_anchor_point(\"center\",o,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:v,y:w,sx:d,sy:p,data_x:t,data_y:i,indices:l.indices,name:e.name};b.push([r,c,this._render_tooltips(a,h,u)])}if(0==b.length)o.clear();else{const{content:e}=o;(0,f.empty)(o.content);for(const[,,t]of b)null!=t&&e.appendChild(t);const[t,n]=b[b.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,f.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,f.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=(0,f.span)();o.dataset.value=\"\";const i=(0,f.span)({class:$.tooltip_color_block},\" \");i.dataset.swatch=\"\",(0,f.undisplay)(i);const r=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of(0,w.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=(0,g.isNumber)(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=(0,v.color2css)(e),(0,f.display)(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,g.isNumber)(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?(0,v.color2hex)(d):(0,v.color2css)(d),c&&(l[i].style.backgroundColor=(0,v.color2css)(d),(0,f.display)(l[i]))}}else{const t=(0,y.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if((0,g.isString)(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if((0,g.isString)(o)){const s=(0,y.replace_placeholders)({html:o},e,t,this.model.formatters,n);return(0,f.div)(s)}if((0,g.isFunction)(o))return o(e,n);if(o instanceof R.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class A extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=C.tool_icon_hover}}n.HoverTool=A,r=A,A.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(R.Template),n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(l(a.CustomJSHover),y.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[k.HoverMode,\"mouse\"],muted_policy:[k.MutedPolicy,\"show\"],point_policy:[k.PointPolicy,\"snap_to_data\"],line_policy:[k.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[k.Anchor,\"center\"],attachment:[k.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new A))},\n      function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n      function _(l,n,u,_,e){var t;_();const o=l(53);class r extends 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     function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n      function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n      function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n      function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n      function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under <body>`);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n      function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n      function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now 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_.optional((function(){function r(e,r,n){t.assert(e,n+\" in \"+a,\"invalid \"+r+\", must be one of \"+Object.keys(v))}r(f.then,e,n),t.assert(f.else,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e),r(f.else,e+\".rgb\",n+\".rgb\"),r(f.else,e+\".alpha\",n+\".alpha\")})),f.then(i,\"=\",o,\"=\",a,\"[\",n,\"];\"),f.else(i,\"=\",a,\"[\",n,\".rgb];\",o,\"=\",a,\"[\",n,\".alpha];\"),r(f),[i,o]}));case Pt:return f((function(e){return _.command(me(e)&&4===e.length,\"blend.color must be a 4d array\",t.commandStr),V(4,(function(t){return+e[t]}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in ',r,\"?\",n,\"[\",r,\".cmp]\",\":\",Qr),t.def(r,\".ref|0\"),t.def('\"mask\" in ',r,\"?\",r,\".mask|0:-1\")]}));case nr:case ar:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.fail||\"keep\",a=r.zfail||\"keep\",i=r.zpass||\"keep\";return _.commandParameter(n,Kr,e+\".fail\",t.commandStr),_.commandParameter(a,Kr,e+\".zfail\",t.commandStr),_.commandParameter(i,Kr,e+\".zpass\",t.commandStr),[e===ar?Nr:Hr,Kr[n],Kr[a],Kr[i]]}),(function(t,r,n){var a=t.constants.stencilOps;function i(i){return _.optional((function(){t.assert(r,'!(\"'+i+'\" in '+n+\")||(\"+n+\".\"+i+\" in \"+a+\")\",\"invalid \"+e+\".\"+i+\", must be one of \"+Object.keys(Kr))})),r.def('\"',i,'\" in ',n,\"?\",a,\"[\",n,\".\",i,\"]:\",Qr)}return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[e===ar?Nr:Hr,i(\"fail\"),i(\"zfail\"),i(\"zpass\")]}));case $t:return f((function(e){_.commandType(e,\"object\",o,t.commandStr);var r=0|e.factor,n=0|e.units;return _.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid 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t=r.id(a[e]);_.optional((function(){l.shader(Jr[e],t,_.guessCommand())}));var n=an((function(){return t}));return n.id=t,n}if(e in i){var o=i[e];return on(o,(function(t,r){var n=t.invoke(r,o),a=r.def(t.shared.strings,\".id(\",n,\")\");return _.optional((function(){r(t.shared.shader,\".shader(\",Jr[e],\",\",a,\",\",t.command,\");\")})),a}))}return null}var f,u=o(lr),s=o(cr),c=null;return nn(u)&&nn(s)?(c=l.program(s.id,u.id,null,n),f=an((function(e,t){return e.link(c)}))):f=new rn(u&&u.thisDep||s&&s.thisDep,u&&u.contextDep||s&&s.contextDep,u&&u.propDep||s&&s.propDep,(function(e,t){var r,n=e.shared.shader;r=u?u.append(e,t):t.def(n,\".\",lr);var a=n+\".program(\"+(s?s.append(e,t):t.def(n,\".\",cr))+\",\"+r;return _.optional((function(){a+=\",\"+e.command})),t.def(a+\")\")})),{frag:u,vert:s,progVar:f,program:c}}(e,0,h);function O(e){var t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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bool miter_too_large_end = false;\\n\\n    v_coords.y = a_position.y*halfwidth;  // Overwritten later for end points.\\n\\n    bool has_start_cap = a_point_prev.x < missing_point_threshold;\\n    bool has_end_cap = a_point_next.x < missing_point_threshold;\\n\\n    vec2 point_normal_start;\\n    float cos_theta_start;\\n    float turn_right_start;\\n    if (has_start_cap)\\n        point_normal_start = segment_right;\\n    else {\\n        vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n        point_normal_start = normalize(segment_right + prev_right);\\n        cos_theta_start = dot(segment_right, point_normal_start);  // Always +ve\\n        turn_right_start = sign(dot(segment_right, a_point_prev - a_point_start));\\n    }\\n\\n    vec2 point_normal_end;\\n    float cos_theta_end;\\n    float turn_right_end;\\n    if (has_end_cap)\\n        point_normal_end = segment_right;\\n    else {\\n        vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n        point_normal_end = normalize(segment_right + next_right);\\n        cos_theta_end = dot(segment_right, point_normal_end);  // Always +ve\\n        turn_right_end = sign(dot(segment_right, a_point_next - a_point_end));\\n    }\\n\\n    float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n    float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n    if (join_type == miter_join) {\\n        // If miter too large, use bevel join instead.\\n        miter_too_large_start = (miter_factor_start > u_miter_limit);\\n        miter_too_large_end = (miter_factor_end > u_miter_limit);\\n    }\\n\\n    float sign_at_start = -sign(a_position.x);  // +ve at segment start, -ve end.\\n    vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n    vec2 adjacent_point =\\n        sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n                            : (has_end_cap ? a_point_end : a_point_next);\\n\\n    if ( (has_start_cap && sign_at_start > 0.0) ||\\n         (has_end_cap && sign_at_start < 0.0) ) {\\n        // Cap.\\n        xy = point - segment_right*(halfwidth*a_position.y);\\n        if (cap_type == butt_cap)\\n            xy -= sign_at_start*0.5*u_antialias*segment_along;\\n        else\\n            xy -= sign_at_start*halfwidth*segment_along;\\n    }\\n    else { // Join.\\n        // +ve if turning to right, -ve if to left.\\n        float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n        vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n        vec2 point_right = normalize(segment_right + adjacent_right);\\n        float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n        bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n        if (abs(a_position.x) > 1.5) {\\n            // Outer point, meets prev/next segment.\\n            float factor;  // multiplied by halfwidth...\\n\\n            if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n                factor = 1.0 / miter_factor;  // cos_theta.\\n            else if (join_type == round_join &&\\n                     miter_factor > min_miter_factor_round_join_mesh)\\n                factor = 1.0;\\n            else  // miter, or round (small angle only).\\n                factor = miter_factor;\\n\\n            xy = point - point_right*(halfwidth*turn_sign*factor);\\n            v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n        }\\n        else if (turn_sign*a_position.y < 0.0) {\\n            // Inner point, meets prev/next segment.\\n            float len = halfwidth*miter_factor;\\n            float segment_len = v_segment_length;\\n            float adjacent_len = distance(point, adjacent_point);\\n\\n            if (len <= min(segment_len, adjacent_len))\\n                // Normal behaviour.\\n                xy = point - point_right*(len*a_position.y);\\n            else\\n                // For short wide line segments the inner point using the above\\n                // calculation can be outside of the line.  Here clipping it.\\n                xy = point + segment_right*(halfwidth*turn_sign);\\n        }\\n        else {\\n            // Point along outside edge.\\n            xy = point - segment_right*(halfwidth*a_position.y);\\n            if (join_type == round_join &&\\n                miter_factor > min_miter_factor_round_join_mesh) {\\n                xy = line_intersection(xy, segment_along,\\n                                       point - turn_sign*point_right*halfwidth,\\n                                       right_vector(point_right));\\n            }\\n        }\\n    }\\n\\n    vec2 pos = xy + 0.5;  // Bokeh's offset.\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n    v_coords.x = dot(xy - a_point_start, segment_along);\\n    v_flags = float(int(has_start_cap) +\\n                    2*int(has_end_cap) +\\n                    4*int(miter_too_large_start) +\\n                    8*int(miter_too_large_end));\\n    v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n    v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n    v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n      416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap   = 0;\\nconst int round_cap  = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n    return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n    // +ve if point to right of line.\\n    // Alternatively could do dot product with right_vector.\\n    return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n    return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n    return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n    float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n                                                  : v_cos_theta_turn_right_end;\\n    float cos_theta = abs(cos_theta_turn_right);\\n    float turn_right = sign(cos_theta_turn_right);\\n    float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n    // In v_coords reference frame (x is along segment, y across).\\n    vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n    float sin_alpha = cos_theta;\\n    float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n    vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n    return halfwidth + sign_start*point_line_distance(\\n        v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n    // x is distance along segment in direction away from end of segment,\\n    // y is distance across segment.\\n    if (cap_type == butt_cap)\\n        return max(0.5*u_linewidth - x, abs(y));\\n    else if (cap_type == square_cap)\\n        return max(-x, abs(y));\\n    else  // cap_type == round_cap\\n        return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n    return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n                            0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n    // x is in direction of v_coords.x, i.e. along segment.\\n    float tex_length = u_dash_tex_info.x;\\n    float tex_offset = u_dash_tex_info.y;\\n    float tex_dist_min = u_dash_tex_info.z;\\n    float tex_dist_max = u_dash_tex_info.w;\\n\\n    // Apply offset.\\n    x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n    // Interpolate within texture to obtain distance to dash.\\n    float dist = texture2D(u_dash_tex,\\n                           vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n    // Scale distance within min and max limits.\\n    dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n    return u_dash_scale*dist;\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n    // Rotation matrix for v_coords from this segment to prev or next segment.\\n    float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n                                                  : v_cos_theta_turn_right_end;\\n    float cos_theta = abs(cos_theta_turn_right);\\n    float turn_right = sign(cos_theta_turn_right);\\n\\n    float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n    float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n    float sin_2theta = 2.0*sin_theta*cos_theta;\\n    return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n    int join_type = int(u_line_join + 0.5);\\n    int cap_type = int(u_line_cap + 0.5);\\n    float halfwidth = 0.5*(u_linewidth + u_antialias);\\n\\n    // Extract flags.\\n    int flags = int(v_flags + 0.5);\\n    bool miter_too_large_end = (flags / 8 > 0);\\n    flags -= 8*int(miter_too_large_end);\\n    bool miter_too_large_start = (flags / 4 > 0);\\n    flags -= 4*int(miter_too_large_start);\\n    bool has_end_cap = (flags / 2 > 0);\\n    flags -= 2*int(has_end_cap);\\n    bool has_start_cap = flags > 0;\\n\\n    float dist = v_coords.y;  // For straight segment, and miter join.\\n\\n    if (v_coords.x <= 0.5*u_antialias) {\\n        // At start of segment, either cap or join.\\n        if (has_start_cap)\\n            dist = cap(cap_type, v_coords.x, v_coords.y);\\n        else if (join_type == round_join)\\n            dist = distance(v_coords, vec2(0.0, 0.0));\\n        else if (join_type == bevel_join ||\\n                 (join_type == miter_join && miter_too_large_start))\\n            dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n        // else a miter join which uses the default dist calculation.\\n    }\\n    else if (v_coords.x >= v_segment_length - 0.5*u_antialias) {\\n        // At end of segment, either cap or join.\\n        if (has_end_cap)\\n            dist = cap(cap_type, v_segment_length - v_coords.x, v_coords.y);\\n        else if (join_type == round_join)\\n            dist = distance(v_coords, vec2(v_segment_length, 0));\\n        else if ((join_type == bevel_join ||\\n                 (join_type == miter_join && miter_too_large_end)))\\n            dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n        // else a miter join which uses the default dist calculation.\\n    }\\n\\n    float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n    if (u_dash_tex_info.x >= 0.0) {\\n        // Dashes in straight segments (outside of joins) are easily calculated.\\n        dist = dash_distance(v_coords.x);\\n\\n        if (!has_start_cap && cap_type == butt_cap) {\\n            if (v_coords.x < 0.5*u_antialias) {\\n                // Outer of start join rendered solid color or not at all\\n                // depending on whether corner point is in dash or gap, with\\n                // antialiased ends.\\n                dist = (dash_distance(0.0) > 0.0 ? 0.5*u_antialias - v_coords.x\\n                                                 : -0.5*u_linewidth);\\n\\n                // Also consider antialiased end of dash just outside corner.\\n                float end_dist = dash_distance(0.5*u_antialias) + v_coords.x -\\n                    0.5*u_antialias;\\n                dist = max(dist, end_dist);\\n            }\\n\\n            vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n            if (abs(prev_coords.y) < halfwidth &&\\n                prev_coords.x < 0.5*u_antialias) {\\n                // Extend dashes across from previous segment, with antialiased\\n                // end.\\n                float new_dist = dash_distance(min(prev_coords.x,\\n                                                   -0.5*u_antialias));\\n\\n                if (prev_coords.x > -0.5*u_antialias)\\n                    new_dist -= prev_coords.x + 0.5*u_antialias;\\n\\n                new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n                dist = max(dist, new_dist);\\n            }\\n        }\\n\\n        if (!has_end_cap && cap_type == butt_cap) {\\n            if (v_coords.x > v_segment_length - 0.5*u_antialias) {\\n                // Similar for end join.\\n                dist = (dash_distance(v_segment_length) > 0.0\\n                            ? v_coords.x - v_segment_length + 0.5*u_antialias\\n                            : -0.5*u_linewidth);\\n\\n                float end_dist =\\n                    dash_distance(v_segment_length - 0.5*u_antialias) -\\n                    v_coords.x + v_segment_length - 0.5*u_antialias;\\n                dist = max(dist, end_dist);\\n            }\\n\\n            vec2 next_coords =\\n                rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n            if (abs(next_coords.y) < halfwidth &&\\n                next_coords.x > -0.5*u_antialias) {\\n                // Extend dashes across from next segment, with antialiased end.\\n                float new_dist = dash_distance(v_segment_length +\\n                    max(next_coords.x, 0.5*u_antialias));\\n\\n                if (next_coords.x < 0.5*u_antialias)\\n                    new_dist += next_coords.x - 0.5*u_antialias;\\n\\n                new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n                dist = max(dist, new_dist);\\n            }\\n        }\\n\\n        dist = cap(cap_type, dist, v_coords.y);\\n\\n        float dash_alpha = distance_to_alpha(dist);\\n        alpha = min(alpha, dash_alpha);\\n    }\\n#endif\\n\\n    alpha = u_line_color.a*alpha;\\n    gl_FragColor = vec4(u_line_color.rgb*alpha, alpha);  // Premultiplied alpha.\\n}\\n\"},\n      417: function _(n,i,o,a,t){a();o.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_show;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying vec2 v_coords;\\n\\nvoid main()\\n{\\n    v_size = a_size;\\n    v_linewidth = a_linewidth;\\n    v_line_color = a_line_color;\\n    v_fill_color = a_fill_color;\\n\\n    if (a_show < 0.5) {\\n      // Do not show this marker.\\n      gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n      return;\\n    }\\n\\n    float enclosing_size = v_size + 2.0*v_linewidth + 3.0*u_antialias;\\n\\n    // Coordinates in rotated frame with respect to center of marker, used in\\n    // distance functions in fragment shader.\\n    v_coords = a_position*enclosing_size;\\n\\n    float c = cos(-a_angle);\\n    float s = sin(-a_angle);\\n    mat2 rotation = mat2(c, -s, s, c);\\n\\n    vec2 pos = a_center + rotation*v_coords;\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n      418: function _(n,a,e,t,s){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float SQRT_3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\nuniform float u_antialias;\\n\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_coords;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / 2.0;\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n    float cross = min(abs(P.x), abs(P.y));\\n    // Result is union of masked shapes\\n    float result = min(max(X, diamond), max(cross, square));\\n    return max(result - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    return max(length(P) - size/8.0 - v_linewidth/15.0 + u_antialias, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size/2.0;\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(circle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(square, dot_);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    float diamond = r1 / SQRT_2;\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(diamond, dot_);\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_HEX_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    float hex = max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    return max(hex, dot_);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n    float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n    P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n    P -= size*vec2(COS_A, SIN_A)/2.;\\n    P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n    return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_STAR_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n    P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n    P -= size*vec2(COS_A, SIN_A)/2.;\\n    P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n    float star = length(P)*sign(P.x);\\n    return max(star, dot_);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n    float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    float triangle = max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n    return max(triangle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n    float cross = min(abs(P.x), abs(P.y));\\n    cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n    return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n    float cross = abs(P.y);\\n    cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n    return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 2.0;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n    X = max(X - v_linewidth/2.0, 0.0);\\n    return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 2.0;\\n\\n    float dx = 1.0 / SQRT_3;\\n    float dy = SQRT_2 / SQRT_3;\\n\\n    // Sideways distance from the three spokes.\\n    float d0 = abs(P.x);\\n    float d1 = abs(dot(P, vec2(dx, dy)));\\n    float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n    // Clip each spoke to semicircle.\\n    d0 = max(d0, -P.y);\\n    d1 = max(d1, dot(P, vec2(-dy, dx)));\\n    d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n    float Y = min(min(d0, d1), d2);\\n    Y = max(Y - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n    return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size/2.0;\\n\\n    float dx = 1.0 / SQRT_3;\\n    float dy = SQRT_2 / SQRT_3;\\n\\n    // Sideways distance from the three spokes.\\n    float d0 = abs(P.x);\\n    float d1 = abs(dot(P, vec2(dx, dy)));\\n    float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n    // Clip each spoke to semicircle.\\n    d0 = max(d0, -P.y);\\n    d1 = max(d1, dot(P, vec2(-dy, dx)));\\n    d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n    float Y = min(min(d0, d1), d2);\\n    Y = min(v_linewidth/2.0 - u_antialias/2.0 - Y, 0.0);\\n\\n    return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 size2 = vec2(size*0.5, size*0.2);\\n    P = abs(P);\\n    P = (P.y > P.x) ? P.yx : P.xy;\\n    vec2 q = P - size2;\\n    float k = max(q.y, q.x);\\n    vec2 w = (k > 0.0) ? q : vec2(size2.y - P.x, -k);\\n    return sign(k)*length(max(w, 0.0));\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n    float actual_size = size*1.2;\\n    float radius = 0.75*actual_size; // Radius of curvature of edges.\\n    float offset = actual_size/2.0 + sqrt(radius*radius - actual_size*actual_size/4.0);\\n    vec2 centerx = vec2(offset, 0.0);\\n    vec2 centery = vec2(0.0, offset);\\n\\n    float right = length(P - centerx);\\n    float left = length(P + centerx);\\n    float up = length(P - centery);\\n    float down = length(P + centery);\\n    float pin = radius - min(min(right, left), min(up, down));\\n\\n    float circle = length(P) - actual_size*0.6;\\n    return max(circle, pin);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n    float actual_size = size*1.2;\\n    float radius = 1.2*actual_size; // Radius of curvature of edges.\\n\\n    float angle = 2.0*PI / 3.0;\\n    float c = cos(angle);\\n    float s = sin(angle);\\n    mat2 rotation = mat2(c, -s, s, c);\\n\\n    // Half the length of straight triangle edge.\\n    float half_edge = actual_size*SQRT_3/4.0;\\n    // Distance from center of triangle to middle of straight edge.\\n    float centre_middle_edge = 0.25*actual_size;\\n    float offset = centre_middle_edge + sqrt(radius*radius - half_edge*half_edge);\\n    // Centre of curvature.\\n    vec2 center = vec2(0.0, offset);\\n\\n    float dist0 = length(P - center);\\n    P = rotation*P;\\n    float dist1 = length(P - center);\\n    P = rotation*P;\\n    float dist2 = length(P - center);\\n    float pin = radius - min(min(dist0, dist1), dist2);\\n\\n    float circle = length(P) - actual_size / 2.0;\\n    return max(circle, pin);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 line_color,\\n             vec4 fill_color)\\n{\\n    vec4 frag_color;\\n    float t = min(linewidth/2.0 - antialias, 0.0);  // Line half-width.\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If line alpha is zero, it probably means no outline. To avoid a dark\\n    // outline shining through due to antialiasing, we set the line color to the\\n    // fill color.\\n    float select = float(bool(line_color.a));\\n    line_color.rgb = select*line_color.rgb + (1.0 - select)*fill_color.rgb;\\n    // Similarly, if we want a transparent fill.\\n    select = float(bool(fill_color.a));\\n    fill_color.rgb = select*fill_color.rgb + (1.0 - select)*line_color.rgb;\\n\\n    if (border_distance < 0.0)\\n        frag_color = line_color;\\n    else if (signed_distance < 0.0)\\n        frag_color = mix(fill_color, line_color, sqrt(alpha));\\n    else {\\n        if (abs(signed_distance) < linewidth/2.0 + antialias)\\n            frag_color = vec4(line_color.rgb, line_color.a*alpha);\\n        else\\n            discard;\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    float distance = marker(v_coords, v_size);\\n    gl_FragColor = outline(\\n        distance, v_linewidth, u_antialias, v_line_color, v_fill_color);\\n    gl_FragColor.rgb *= gl_FragColor.a;  // Premultiplied alpha.\\n}\\n\"},\n      419: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n  if (a_show < 0.5) {\\n    // Do not show this rect.\\n    gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n    return;\\n  }\\n\\n  v_size = vec2(a_width, a_height);\\n  v_linewidth = a_linewidth;\\n  v_line_color = a_line_color;\\n  v_fill_color = a_fill_color;\\n  v_line_join = a_line_join;\\n\\n  if (v_linewidth < 1.0) {\\n    // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n    v_line_color.a *= v_linewidth;\\n    v_linewidth = 1.0;\\n  }\\n\\n#ifdef HATCH\\n  v_hatch_pattern = a_hatch_pattern;\\n  v_hatch_scale = a_hatch_scale;\\n  v_hatch_weight = a_hatch_weight;\\n  v_hatch_color = a_hatch_color;\\n#endif\\n\\n  vec2 enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n  // Coordinates in rotated frame with respect to center of marker, used for\\n  // distance functions in fragment shader.\\n  v_coords = a_position*enclosing_size;\\n\\n  float c = cos(-a_angle);\\n  float s = sin(-a_angle);\\n  mat2 rotation = mat2(c, -s, s, c);\\n\\n  vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n  // Coordinates for hatching in unrotated frame of reference.\\n  v_hatch_coords = pos - 0.5;\\n#endif\\n  pos += 0.5; // Make up for Bokeh's offset.\\n  pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n  gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n      420: function _(n,a,t,o,r){o();t.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float INVSQRT2 = 1.0/SQRT2;\\nconst float PI = 3.14159265358979323846;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\nfloat marker_distance(vec2 p, int line_join)\\n{\\n  vec2 dist2 = abs(p) - v_size/2.0;\\n  float dist = max(dist2.x, dist2.y);\\n\\n  if (dist2.x > 0.0 && dist2.y > 0.0) {\\n    // Outside of corner needs correct join, default is miter.\\n    if (line_join == round_join)\\n      dist = length(dist2);\\n    else if (line_join == bevel_join) {\\n      vec2 normal = vec2(INVSQRT2, INVSQRT2);\\n      dist = dot(dist2, normal) + 0.5*v_linewidth*(1.0 - INVSQRT2);\\n    }\\n  }\\n\\n  return dist;\\n}\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(float dist)\\n{\\n  return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(float dist)\\n{\\n  return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(float dist)\\n{\\n  return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(vec4 color, float fraction)\\n{\\n  color.a *= fraction;\\n  color.rgb *= color.a;\\n  return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(vec4 src, vec4 dest)\\n{\\n  return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(float x)\\n{\\n  return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(vec2 xy)\\n{\\n  return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(vec2 coords, int hatch_pattern)\\n{\\n  float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n  // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n  coords = coords / scale;\\n  float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n  // Default is to return fraction of zero, i.e. no pattern.\\n  float dist = u_antialias;\\n\\n  if (hatch_pattern == hatch_dot) {\\n    const float dot_radius = 0.25;\\n    dist = length(wrap(coords)) - dot_radius;\\n  }\\n  else if (hatch_pattern == hatch_ring) {\\n    const float ring_radius = 0.25;\\n    dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_line) {\\n    dist = abs(wrap(coords.y)) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_line) {\\n    dist = abs(wrap(coords.x)) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_cross) {\\n    dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_dash) {\\n    // Dashes have square caps.\\n    const float halflength = 0.25;\\n    dist = max(abs(wrap(coords.y)),\\n               abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_dash) {\\n    const float halflength = 0.25;\\n    dist = max(abs(wrap(coords.x)),\\n               abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_spiral) {\\n    vec2 wrap2 = wrap(coords);\\n    float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n    // Canvas spiral radius increases by scale*pi/15 each rotation.\\n    const float dr = PI/15.0;\\n    float radius = length(wrap2);\\n    // At any angle, spiral lines are equally spaced dr apart.\\n    // Find distance to nearest of these lines.\\n    float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n    dist = dr*(abs(frac - 0.5));\\n    dist = min(dist, radius) - halfwidth; // Consider center point also.\\n  }\\n  else if (hatch_pattern == hatch_right_diagonal_line) {\\n    dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_left_diagonal_line) {\\n    dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_diagonal_cross) {\\n    coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n    dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_right_diagonal_dash) {\\n    float across = coords.x + coords.y + 0.5;\\n    dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n    across = floor(across); // Offset for dash.\\n    float along = wrap(0.5*(coords.x - coords.y + across));\\n    const float halflength = 0.25;\\n    along = abs(along) - halflength; // Distance along line.\\n\\n    dist = max(dist, along) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_left_diagonal_dash) {\\n    float across = coords.x - coords.y + 0.5;\\n    dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n    across = floor(across); // Offset for dash.\\n    float along = wrap(0.5*(coords.x + coords.y + across));\\n    const float halflength = 0.25;\\n    along = abs(along) - halflength; // Distance along line.\\n\\n    dist = max(dist, along) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_wave) {\\n    float wrapx = wrap(coords.x);\\n    float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n    dist = abs(wrapy) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_wave) {\\n    float wrapy = wrap(coords.y);\\n    float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n    dist = abs(wrapx) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_criss_cross) {\\n    float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n    coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n    float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n    dist = min(plus, X) - halfwidth;\\n  }\\n\\n  return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n  int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n  int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n  float dist = marker_distance(v_coords, line_join);\\n\\n  float fill_frac = fill_fraction(dist);\\n  vec4 color = fractional_color(v_fill_color, fill_frac);\\n\\n#ifdef HATCH\\n  if (hatch_pattern > 0 && fill_frac > 0.0) {\\n    float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n    vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n    color = blend_colors(hatch_color, color);\\n  }\\n#endif\\n\\n  float line_frac = line_fraction(dist);\\n  if (line_frac > 0.0) {\\n    vec4 line_color = fractional_color(v_line_color, line_frac);\\n    color = blend_colors(line_color, color);\\n  }\\n\\n  gl_FragColor = color;\\n}\\n\"},\n      421: function _(s,i,t,e,_){e();const h=s(422),l=s(22),a=s(46),n=s(423),o=s(424),r=-1e4;class p extends h.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const e=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),e.data_changed&&(e._set_data(),e.data_changed=!1);const _=this.glyph.visuals.line,h=n.cap_lookup[_.line_cap.value],l=n.join_lookup[_.line_join.value];if(this._is_dashed()){const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h,length_so_far:e._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset};this.regl_wrapper.dashed_line()(s)}else{const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h};this.regl_wrapper.solid_line()(s)}}_is_dashed(){return this._line_dash.length>0}_set_data(){const s=this.glyph.sx.length;this._nsegments=s-1,null==this._is_closed&&(this._is_closed=this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0])),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const i=this._points.get_sized_array(2*(s+2));for(let t=1;t<s+1;t++)isFinite(this.glyph.sx[t-1])&&isFinite(this.glyph.sy[t-1])?(i[2*t]=this.glyph.sx[t-1],i[2*t+1]=this.glyph.sy[t-1]):(i[2*t]=r,i[2*t+1]=r);if(this._is_closed?(i[0]=i[2*s-2],i[1]=i[2*s-1],i[2*s+2]=i[4],i[2*s+3]=i[5]):(i[0]=r,i[1]=r,i[2*s+2]=r,i[2*s+3]=r),this._points.update(),this._is_dashed()){null==this._length_so_far&&(this._length_so_far=new o.Float32Buffer(this.regl_wrapper));const s=this._length_so_far.get_sized_array(this._nsegments);let t=0;for(let e=0;e<this._nsegments;e++)s[e]=t,i[2*e+2]>-9e3&&i[2*e+4]>-9e3&&(t+=Math.sqrt((i[2*e+4]-i[2*e+2])**2+(i[2*e+5]-i[2*e+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),1==this._line_dash.length&&this._line_dash.push(this._line_dash[0]),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=p,p.__name__=\"LineGL\"},\n      422: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n      423: function _(a,o,i,n,l){n();const t=a(52);i.cap_lookup={butt:0,round:1,square:2},i.join_lookup={miter:0,round:1,bevel:2};const _={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};i.hatch_pattern_to_index=function(a){var o,i;return null!==(i=_[null!==(o=t.hatch_aliases[a])&&void 0!==o?o:a])&&void 0!==i?i:0}},\n      424: function _(r,t,a,e,s){e();const i=r(423),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e<t;e++)a[e]=r[e];this.update()}set_from_prop(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=r.get(t);this.update(r.is_Scalar())}to_attribute_config(r=0){return{buffer:this.buffer,divisor:this.is_scalar?0:1,normalized:this.is_normalized(),offset:r}}update(r=!1){null==this.buffer?this.buffer=this.regl_wrapper.buffer({usage:\"dynamic\",data:this.array}):this.buffer({data:this.array}),this.is_scalar=r}}n.__name__=\"WrappedBuffer\";class l extends n{new_array(r){return new Float32Array(r)}}a.Float32Buffer=l,l.__name__=\"Float32Buffer\";class o extends n{new_array(r){return new Uint8Array(r)}set_from_color(r,t,a=4){const e=r.is_Scalar()&&t.is_Scalar(),s=e?a:r.length,i=this.get_sized_array(4*s);for(let a=0;a<s;a++){const[e,s,n,l]=(0,_.color2rgba)(r.get(a),t.get(a));i[4*a]=e,i[4*a+1]=s,i[4*a+2]=n,i[4*a+3]=l}this.update(e)}set_from_hatch_pattern(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=(0,i.hatch_pattern_to_index)(r.get(t));this.update(r.is_Scalar())}set_from_line_join(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.join_lookup[r.get(t)];this.update(r.is_Scalar())}}a.Uint8Buffer=o,o.__name__=\"Uint8Buffer\";class h extends o{is_normalized(){return!0}}a.NormalizedUint8Buffer=h,h.__name__=\"NormalizedUint8Buffer\"},\n      425: function _(t,h,s,i,e){i();const _=t(422),a=t(424),r=-1e4;class l extends _.BaseGLGlyph{constructor(t,h){super(t,h),this.glyph=h,this._antialias=1.5}draw(t,h,s){const i=h.glglyph;i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const e=i._centers.length/2;null==this._show&&(this._show=new a.Uint8Buffer(this.regl_wrapper));const _=this._show.length,r=this._show.get_sized_array(e);if(t.length<e){this._show_all=!1;for(let t=0;t<e;t++)r[t]=0;for(let h=0;h<t.length;h++)r[t[h]]=255}else if(!this._show_all||_!=e){this._show_all=!0;for(let t=0;t<e;t++)r[t]=255}if(this._show.update(),this._have_hatch){const t={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[s.width,s.height],pixel_ratio:s.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,nmarkers:e,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_join:this._line_joins,show:this._show,hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba};this.regl_wrapper.rect_hatch()(t)}else{const t={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[s.width,s.height],pixel_ratio:s.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,nmarkers:e,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_join:this._line_joins,show:this._show};this.regl_wrapper.rect_no_hatch()(t)}}_set_data(){const t=this.glyph.sx.length;null==this._centers&&(this._centers=new a.Float32Buffer(this.regl_wrapper),this._widths=new a.Float32Buffer(this.regl_wrapper),this._heights=new a.Float32Buffer(this.regl_wrapper),this._angles=new a.Float32Buffer(this.regl_wrapper));const h=this._centers.get_sized_array(2*t);for(let s=0;s<t;s++)isFinite(this.glyph.sx[s])&&isFinite(this.glyph.sy[s])?(h[2*s]=this.glyph.sx[s],h[2*s+1]=this.glyph.sy[s]):(h[2*s]=r,h[2*s+1]=r);this._centers.update(),this._widths.set_from_array(this.glyph.sw),this._heights.set_from_array(this.glyph.sh),this._angles.set_from_prop(this.glyph.angle)}_set_visuals(){const t=this.glyph.visuals.fill,h=this.glyph.visuals.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(h.line_width),this._line_joins.set_from_line_join(h.line_join),this._line_rgba.set_from_color(h.line_color,h.line_alpha),this._fill_rgba.set_from_color(t.fill_color,t.fill_alpha),this._have_hatch=this.glyph.visuals.hatch.doit,this._have_hatch){const t=this.glyph.visuals.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(t.hatch_pattern),this._hatch_scales.set_from_prop(t.hatch_scale),this._hatch_weights.set_from_prop(t.hatch_weight),this._hatch_rgba.set_from_color(t.hatch_color,t.hatch_alpha)}}}s.RectGL=l,l.__name__=\"RectGL\"},\n      426: function _(s,e,t,i,a){i();const r=s(422),l=s(424),_=-1e4;function h(s){return\"Circle\"==s.model.type}class n extends r.BaseGLGlyph{constructor(s,e,t){super(s,e),this.glyph=e,this.marker_type=t,this._marker_type=t,this._antialias=.8,this._show_all=!1}static is_supported(s){switch(s){case\"asterisk\":case\"circle\":case\"circle_cross\":case\"circle_dot\":case\"circle_x\":case\"circle_y\":case\"cross\":case\"dash\":case\"diamond\":case\"diamond_cross\":case\"diamond_dot\":case\"dot\":case\"hex\":case\"hex_dot\":case\"inverted_triangle\":case\"plus\":case\"square\":case\"square_cross\":case\"square_dot\":case\"square_pin\":case\"square_x\":case\"star\":case\"star_dot\":case\"triangle\":case\"triangle_dot\":case\"triangle_pin\":case\"x\":case\"y\":return!0;default:return!1}}draw(s,e,t){const i=e.glglyph;(i.data_changed||h(this.glyph))&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const a=i._centers.length/2;null==this._show&&(this._show=new l.Uint8Buffer(this.regl_wrapper));const r=this._show.length,_=this._show.get_sized_array(a);if(s.length<a){this._show_all=!1;for(let s=0;s<a;s++)_[s]=0;for(let e=0;e<s.length;e++)_[s[e]]=255}else if(!this._show_all||r!=a){this._show_all=!0;for(let s=0;s<a;s++)_[s]=255}this._show.update();const n={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,center:i._centers,size:i._sizes,angle:i._angles,nmarkers:a,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,show:this._show};this.regl_wrapper.marker(this._marker_type)(n)}_set_data(){const s=this.glyph.sx.length;null==this._centers&&(this._centers=new l.Float32Buffer(this.regl_wrapper),this._sizes=new l.Float32Buffer(this.regl_wrapper),this._angles=new l.Float32Buffer(this.regl_wrapper));const e=this._centers.get_sized_array(2*s);for(let t=0;t<s;t++)isFinite(this.glyph.sx[t])&&isFinite(this.glyph.sy[t])?(e[2*t]=this.glyph.sx[t],e[2*t+1]=this.glyph.sy[t]):(e[2*t]=_,e[2*t+1]=_);if(this._centers.update(),h(this.glyph)&&null!=this.glyph.radius){const e=this._sizes.get_sized_array(s);for(let t=0;t<s;t++)e[t]=2*this.glyph.sradius[t];this._sizes.update()}else this._sizes.set_from_prop(this.glyph.size);this._angles.set_from_prop(this.glyph.angle)}_set_visuals(){const s=this.glyph.visuals.fill,e=this.glyph.visuals.line;null==this._linewidths&&(this._linewidths=new l.Float32Buffer(this.regl_wrapper),this._line_rgba=new l.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new l.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(e.line_width),this._line_rgba.set_from_color(e.line_color,e.line_alpha),this._fill_rgba.set_from_color(s.fill_color,s.fill_alpha)}}t.MarkerGL=n,n.__name__=\"MarkerGL\"},\n      }, 409, {\"models/glyphs/webgl/main\":409,\"models/glyphs/webgl/index\":410,\"models/glyphs/webgl/regl_wrap\":411,\"models/glyphs/webgl/dash_cache\":413,\"models/glyphs/webgl/utils/math\":414,\"models/glyphs/webgl/regl_line.vert\":415,\"models/glyphs/webgl/regl_line.frag\":416,\"models/glyphs/webgl/markers.vert\":417,\"models/glyphs/webgl/markers.frag\":418,\"models/glyphs/webgl/rect.vert\":419,\"models/glyphs/webgl/rect.frag\":420,\"models/glyphs/webgl/line_gl\":421,\"models/glyphs/webgl/base\":422,\"models/glyphs/webgl/webgl_utils\":423,\"models/glyphs/webgl/buffer\":424,\"models/glyphs/webgl/rect\":425,\"models/glyphs/webgl/markers\":426}, {});});\n\n      /* END bokeh-gl.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-widgets.min.js */\n      /*!\n       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.4.1\");\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      436: function _(t,e,i,o,r){o();const s=(0,t(1).__importStar)(t(437));i.Widgets=s;(0,t(7).register_models)(s)},\n      437: function _(t,e,o,r,u){r(),u(\"AbstractButton\",t(438).AbstractButton),u(\"AbstractIcon\",t(441).AbstractIcon),u(\"AutocompleteInput\",t(442).AutocompleteInput),u(\"Button\",t(447).Button),u(\"CheckboxButtonGroup\",t(448).CheckboxButtonGroup),u(\"CheckboxGroup\",t(451).CheckboxGroup),u(\"ColorPicker\",t(453).ColorPicker),u(\"DatePicker\",t(454).DatePicker),u(\"DateRangeSlider\",t(457).DateRangeSlider),u(\"DateSlider\",t(462).DateSlider),u(\"Div\",t(463).Div),u(\"Dropdown\",t(466).Dropdown),u(\"FileInput\",t(467).FileInput),u(\"InputWidget\",t(445).InputWidget),u(\"Markup\",t(464).Markup),u(\"MultiSelect\",t(468).MultiSelect),u(\"Paragraph\",t(469).Paragraph),u(\"PasswordInput\",t(470).PasswordInput),u(\"MultiChoice\",t(471).MultiChoice),u(\"NumericInput\",t(474).NumericInput),u(\"PreText\",t(475).PreText),u(\"RadioButtonGroup\",t(476).RadioButtonGroup),u(\"RadioGroup\",t(477).RadioGroup),u(\"RangeSlider\",t(478).RangeSlider),u(\"Select\",t(479).Select),u(\"Slider\",t(480).Slider),u(\"Spinner\",t(481).Spinner),u(\"TextInput\",t(443).TextInput),u(\"TextAreaInput\",t(482).TextAreaInput),u(\"Toggle\",t(483).Toggle),u(\"Widget\",t(508).Widget)},\n      438: function _(t,e,n,i,s){i();const l=t(1);var o;const r=t(20),c=t(43),u=t(113),_=t(439),a=t(441),d=(0,l.__importStar)(t(318)),h=d;class b extends _.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await(0,u.build_view)(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n      439: function _(t,e,o,s,n){s();const i=t(508),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n      508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n      441: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n      442: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(443),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let s;s=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n      443: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(444),r=t(43),x=(0,u.__importStar)(t(446));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n      444: function _(e,t,n,i,l){var s;i();const h=e(445);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n      445: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(439),_=e(43),p=(0,i.__importStar)(e(446)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n      446: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n      447: function _(t,e,n,o,c){var s;o();const u=t(438),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n      448: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(449),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n      449: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(450),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n      450: function _(n,t,e,o,r){var i;o();const a=n(439),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n      451: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(452),l=e(43),d=e(9),p=(0,o.__importStar)(e(446));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;i<n.length;i++){const s=(0,l.input)({type:\"checkbox\",value:`${i}`});s.addEventListener(\"change\",(()=>this.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n      452: function _(n,t,e,s,o){s();const r=n(1),u=n(439),c=(0,r.__importDefault)(n(446));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n      453: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(445),c=e(43),a=e(22),d=(0,s.__importStar)(e(446));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n      454: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(455)),d=e(445),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(446)),_=(0,a.__importDefault)(e(456));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n      455: function _(e,n,t,a,i){\n      /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n      /*! *****************************************************************************\n              Copyright (c) Microsoft Corporation.\n          \n              Permission to use, copy, modify, and/or distribute this software for any\n              purpose with or without fee is hereby granted.\n          \n              THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n              REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n              AND FITNESS. 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a=m(\"cur-year\",{tabindex:\"-1\"}),i=a.getElementsByTagName(\"input\")[0];i.setAttribute(\"aria-label\",w.l10n.yearAriaLabel),w.config.minDate&&i.setAttribute(\"min\",w.config.minDate.getFullYear().toString()),w.config.maxDate&&(i.setAttribute(\"max\",w.config.maxDate.getFullYear().toString()),i.disabled=!!w.config.minDate&&w.config.minDate.getFullYear()===w.config.maxDate.getFullYear());var o=s(\"div\",\"flatpickr-current-month\");return o.appendChild(e),o.appendChild(a),t.appendChild(o),n.appendChild(t),{container:n,yearElement:i,monthElement:e}}function q(){u(w.monthNav),w.monthNav.appendChild(w.prevMonthNav),w.config.showMonths&&(w.yearElements=[],w.monthElements=[]);for(var e=w.config.showMonths;e--;){var n=U();w.yearElements.push(n.yearElement),w.monthElements.push(n.monthElement),w.monthNav.appendChild(n.container)}w.monthNav.appendChild(w.nextMonthNav)}function $(){w.weekdayContainer?u(w.weekdayContainer):w.weekdayContainer=s(\"div\",\"flatpickr-weekdays\");for(var e=w.config.showMonths;e--;){var n=s(\"div\",\"flatpickr-weekdaycontainer\");w.weekdayContainer.appendChild(n)}return z(),w.weekdayContainer}function z(){if(w.weekdayContainer){var e=w.l10n.firstDayOfWeek,t=n(w.l10n.weekdays.shorthand);e>0&&e<t.length&&(t=n(t.splice(e,t.length),t.splice(0,e)));for(var a=w.config.showMonths;a--;)w.weekdayContainer.children[a].innerHTML=\"\\n      <span class='flatpickr-weekday'>\\n        \"+t.join(\"</span><span class='flatpickr-weekday'>\")+\"\\n      </span>\\n      \"}}function G(e,n){void 0===n&&(n=!0);var t=n?e:e-w.currentMonth;t<0&&!0===w._hidePrevMonthArrow||t>0&&!0===w._hideNextMonthArrow||(w.currentMonth+=t,(w.currentMonth<0||w.currentMonth>11)&&(w.currentYear+=w.currentMonth>11?1:-1,w.currentMonth=(w.currentMonth+12)%12,pe(\"onYearChange\"),K()),J(),pe(\"onMonthChange\"),De())}function V(e){return!(!w.config.appendTo||!w.config.appendTo.contains(e))||w.calendarContainer.contains(e)}function Z(e){if(w.isOpen&&!w.config.inline){var n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&e<w.config.minDate.getFullYear()||w.config.maxDate&&e>w.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o<i.length;o++){if(\"function\"==typeof(r=i[o])&&r(t))return a;if(r instanceof Date&&void 0!==t&&r.getTime()===t.getTime())return a;if(\"string\"==typeof r&&void 0!==t){var l=w.parseDate(r,void 0,!0);return l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return w.setDate(w._input.value,!0,n===w.altInput?w.config.altFormat:w.config.dateFormat),n.blur();w.open()}else if(V(n)||i||o){var r=!!w.timeContainer&&w.timeContainer.contains(n);switch(e.keyCode){case 13:r?(e.preventDefault(),T(),se()):ue(e);break;case 27:e.preventDefault(),se();break;case 8:case 46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=y)X(new Date(c),!0)||(o=o||c>a&&c<i,c<t&&(!r||c>r)?r=c:c>t&&(!l||c<l)&&(l=c));for(var d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&c<t&&l.top>t,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return 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0.3);background:transparent;cursor:default;border:none;}.flatpickr-innerContainer{display:block;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-sizing:border-box;box-sizing:border-box;overflow:hidden;background:#fff;border-bottom:1px solid #eceef1;}.flatpickr-rContainer{display:inline-block;padding:0;-webkit-box-sizing:border-box;box-sizing:border-box;}.flatpickr-time{text-align:center;outline:0;display:block;height:0;line-height:40px;max-height:40px;-webkit-box-sizing:border-box;box-sizing:border-box;overflow:hidden;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;background:#fff;border-radius:0 0 5px 5px;}.flatpickr-time:after{content:\"\";display:table;clear:both;}.flatpickr-time .numInputWrapper{-webkit-box-flex:1;-webkit-flex:1;-ms-flex:1;flex:1;width:40%;height:40px;float:left;}.flatpickr-time .numInputWrapper span.arrowUp:after{border-bottom-color:#484848;}.flatpickr-time .numInputWrapper 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n=p[e-1],i=p[e],o=[t],s=[n,i],a=[e-1,e];f(t,r.cssClasses.draggable),S.fixed&&(o.push(n.children[0]),o.push(i.children[0])),S.dragAll&&(s=p,a=k),o.forEach((function(e){J(x.start,e,et,{handles:s,handleNumbers:a,connect:t})}))}})),mt(r.start),r.pips&&W(r.pips),r.tooltips&&B(),ot(\"update\"+P),it(\"update\"+P,(function(t,e,n,i,o){k.forEach((function(t){var e=p[t],i=at(V,t,0,!0,!0,!0),s=at(V,t,100,!0,!0,!0),a=o[t],l=String(r.ariaFormat.to(n[t]));i=C.fromStepping(i).toFixed(1),s=C.fromStepping(s).toFixed(1),a=C.fromStepping(a).toFixed(1),e.children[0].setAttribute(\"aria-valuemin\",i),e.children[0].setAttribute(\"aria-valuemax\",s),e.children[0].setAttribute(\"aria-valuenow\",a),e.children[0].setAttribute(\"aria-valuetext\",l)}))}));var bt={destroy:function(){for(ot(P),ot(E),Object.keys(r.cssClasses).forEach((function(t){d(w,r.cssClasses[t])}));w.firstChild;)w.removeChild(w.firstChild);delete w.noUiSlider},steps:function(){return 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r=e(438),d=e(251),_=e(43),u=e(8),c=(0,o.__importStar)(e(318)),h=(0,o.__importStar)(e(229)),m=h;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=(0,_.div)({class:[m.caret,m.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return(0,_.div)({class:m.divider});{const i=(0,u.isString)(e)?e:e[0],n=(0,_.div)(i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof 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r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.preventPaste;this.element=t,this.type=i,this.classNames=n,this.preventPaste=s,this.isFocussed=this.element===document.activeElement,this.isDisabled=t.disabled,this._onPaste=this._onPaste.bind(this),this._onInput=this._onInput.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t,i,n,s=e.prototype;return s.addEventListeners=function(){this.element.addEventListener(\"paste\",this._onPaste),this.element.addEventListener(\"input\",this._onInput,{passive:!0}),this.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.element.addEventListener(\"blur\",this._onBlur,{passive:!0})},s.removeEventListeners=function(){this.element.removeEventListener(\"input\",this._onInput,{passive:!0}),this.element.removeEventListener(\"paste\",this._onPaste),this.element.removeEventListener(\"focus\",this._onFocus,{passive:!0}),this.element.removeEventListener(\"blur\",this._onBlur,{passive:!0})},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.isDisabled=!0},s.focus=function(){this.isFocussed||this.element.focus()},s.blur=function(){this.isFocussed&&this.element.blur()},s.clear=function(e){return void 0===e&&(e=!0),this.element.value&&(this.element.value=\"\"),e&&this.setWidth(),this},s.setWidth=function(){var e=this.element,t=e.style,i=e.value,n=e.placeholder;t.minWidth=n.length+1+\"ch\",t.width=i.length+1+\"ch\"},s.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},s.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},s._onInput=function(){this.type!==oe&&this.setWidth()},s._onPaste=function(e){this.preventPaste&&e.preventDefault()},s._onFocus=function(){this.isFocussed=!0},s._onBlur=function(){this.isFocussed=!1},t=e,(i=[{key:\"placeholder\",set:function(e){this.element.placeholder=e}},{key:\"value\",get:function(){return I(this.element.value)},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}(),ue=function(){function e(e){var t=e.element;this.element=t,this.scrollPos=this.element.scrollTop,this.height=this.element.offsetHeight}var t=e.prototype;return t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var pe=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&de(t.prototype,i),n&&de(t,n),e}();function me(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var fe=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.delimiter;return(i=e.call(this,{element:n,classNames:s})||this).delimiter=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,n=o,(s=[{key:\"value\",get:function(){return this.element.value},set:function(e){var t=e.map((function(e){return e.value})).join(this.delimiter);this.element.setAttribute(\"value\",t),this.element.value=t}}])&&me(n.prototype,s),r&&me(n,r),o}(pe);function ve(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var ge=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.template;return(i=e.call(this,{element:n,classNames:s})||this).template=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,o.prototype.appendDocFragment=function(e){this.element.innerHTML=\"\",this.element.appendChild(e)},n=o,(s=[{key:\"placeholderOption\",get:function(){return this.element.querySelector('option[value=\"\"]')||this.element.querySelector(\"option[placeholder]\")}},{key:\"optionGroups\",get:function(){return Array.from(this.element.getElementsByTagName(\"OPTGROUP\"))}},{key:\"options\",get:function(){return Array.from(this.element.options)},set:function(e){var t=this,i=document.createDocumentFragment();e.forEach((function(e){return n=e,s=t.template(n),void i.appendChild(s);var n,s})),this.appendDocFragment(i)}}])&&ve(n.prototype,s),r&&ve(n,r),o}(pe),_e={containerOuter:function(e,t,i,n,s,r){var o=e.containerOuter,a=Object.assign(document.createElement(\"div\"),{className:o});return a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=\"Remove item\",_=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:g});_.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),_.dataset.button=\"\",v.appendChild(_)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var we=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Oe={},Ce=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=h.type===re,this._isSelectOneElement=h.type===oe,this._isSelectMultipleElement=h.type===ae,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new fe({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new ge({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return t+\"-\"+i.replace(/(:|\\.|\\[|\\]|,)/g,\"\")}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Oe},get templates(){return _e}})}}],(t=null)&&Se(e.prototype,t),i&&Se(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(Ie(!0))},r._stopLoading=function(){this._store.dispatch(Ie(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(_e,t)},r._createElements=function(){this.containerOuter=new ce({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new ce({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new he({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ue({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ue({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Ce}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=o():\"function\"==typeof define&&define.amd?define([],o):\"object\"==typeof i?i.Choices=o():r.Choices=o()},\n      473: function _(o,e,i,t,r){t(),i.root=\"bk-root\",i.default=\".bk-root{}.bk-root .choices{position:relative;margin-bottom:24px;font-size:16px;}.bk-root .choices:focus{outline:none;}.bk-root .choices:last-child{margin-bottom:0;}.bk-root .choices.is-disabled .choices__inner,.bk-root .choices.is-disabled .choices__input{background-color:#eaeaea;cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;}.bk-root .choices.is-disabled .choices__item{cursor:not-allowed;}.bk-root .choices [hidden]{display:none !important;}.bk-root .choices[data-type*='select-one']{cursor:pointer;}.bk-root .choices[data-type*='select-one'] .choices__inner{padding-bottom:7.5px;}.bk-root .choices[data-type*='select-one'] .choices__input{display:block;width:100%;padding:10px;border-bottom:1px solid #dddddd;background-color:#ffffff;margin:0;}.bk-root .choices[data-type*='select-one'] .choices__button{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);padding:0;background-size:8px;position:absolute;top:50%;right:0;margin-top:-10px;margin-right:25px;height:20px;width:20px;border-radius:10em;opacity:0.5;}.bk-root .choices[data-type*='select-one'] .choices__button:hover,.bk-root .choices[data-type*='select-one'] .choices__button:focus{opacity:1;}.bk-root .choices[data-type*='select-one'] .choices__button:focus{box-shadow:0px 0px 0px 2px #00bcd4;}.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button{display:none;}.bk-root .choices[data-type*='select-one']:after{content:'';height:0;width:0;border-style:solid;border-color:#333333 transparent transparent transparent;border-width:5px;position:absolute;right:11.5px;top:50%;margin-top:-2.5px;pointer-events:none;}.bk-root .choices[data-type*='select-one'].is-open:after{border-color:transparent transparent #333333 transparent;margin-top:-7.5px;}.bk-root .choices[data-type*='select-one'][dir='rtl']:after{left:11.5px;right:auto;}.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button{right:auto;left:0;margin-left:25px;margin-right:0;}.bk-root .choices[data-type*='select-multiple'] .choices__inner,.bk-root .choices[data-type*='text'] .choices__inner{cursor:text;}.bk-root .choices[data-type*='select-multiple'] .choices__button,.bk-root .choices[data-type*='text'] .choices__button{position:relative;display:inline-block;margin-top:0;margin-right:-4px;margin-bottom:0;margin-left:8px;padding-left:16px;border-left:1px solid #008fa1;background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);background-size:8px;width:8px;line-height:1;opacity:0.75;border-radius:0;}.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,.bk-root .choices[data-type*='text'] .choices__button:hover,.bk-root .choices[data-type*='text'] .choices__button:focus{opacity:1;}.bk-root .choices__inner{display:inline-block;vertical-align:top;width:100%;background-color:#f9f9f9;padding:7.5px 7.5px 3.75px;border:1px solid #dddddd;border-radius:2.5px;font-size:14px;min-height:44px;overflow:hidden;}.bk-root .is-focused .choices__inner,.bk-root .is-open .choices__inner{border-color:#b7b7b7;}.bk-root .is-open .choices__inner{border-radius:2.5px 2.5px 0 0;}.bk-root .is-flipped.is-open .choices__inner{border-radius:0 0 2.5px 2.5px;}.bk-root .choices__list{margin:0;padding-left:0;list-style:none;}.bk-root .choices__list--single{display:inline-block;padding:4px 16px 4px 4px;width:100%;}.bk-root [dir='rtl'] .choices__list--single{padding-right:4px;padding-left:16px;}.bk-root .choices__list--single .choices__item{width:100%;}.bk-root .choices__list--multiple{display:inline;}.bk-root .choices__list--multiple .choices__item{display:inline-block;vertical-align:middle;border-radius:20px;padding:4px 10px;font-size:12px;font-weight:500;margin-right:3.75px;margin-bottom:3.75px;background-color:#00bcd4;border:1px solid #00a5bb;color:#ffffff;word-break:break-all;box-sizing:border-box;}.bk-root .choices__list--multiple .choices__item[data-deletable]{padding-right:5px;}.bk-root [dir='rtl'] .choices__list--multiple .choices__item{margin-right:0;margin-left:3.75px;}.bk-root .choices__list--multiple .choices__item.is-highlighted{background-color:#00a5bb;border:1px solid #008fa1;}.bk-root .is-disabled .choices__list--multiple .choices__item{background-color:#aaaaaa;border:1px solid #919191;}.bk-root .choices__list--dropdown{visibility:hidden;z-index:1;position:absolute;width:100%;background-color:#ffffff;border:1px solid #dddddd;top:100%;margin-top:-1px;border-bottom-left-radius:2.5px;border-bottom-right-radius:2.5px;overflow:hidden;word-break:break-all;will-change:visibility;}.bk-root .choices__list--dropdown.is-active{visibility:visible;}.bk-root .is-open .choices__list--dropdown{border-color:#b7b7b7;}.bk-root .is-flipped .choices__list--dropdown{top:auto;bottom:100%;margin-top:0;margin-bottom:-1px;border-radius:0.25rem 0.25rem 0 0;}.bk-root .choices__list--dropdown .choices__list{position:relative;max-height:300px;overflow:auto;-webkit-overflow-scrolling:touch;will-change:scroll-position;}.bk-root .choices__list--dropdown .choices__item{position:relative;padding:10px;font-size:14px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item{text-align:right;}@media (min-width: 640px){.bk-root .choices__list--dropdown .choices__item--selectable{padding-right:100px;}.bk-root .choices__list--dropdown .choices__item--selectable:after{content:attr(data-select-text);font-size:12px;opacity:0;position:absolute;right:10px;top:50%;transform:translateY(-50%);}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable{text-align:right;padding-left:100px;padding-right:10px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after{right:auto;left:10px;}}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted{background-color:#f2f2f2;}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after{opacity:0.5;}.bk-root .choices__item{cursor:default;}.bk-root .choices__item--selectable{cursor:pointer;}.bk-root .choices__item--disabled{cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;opacity:0.5;}.bk-root .choices__heading{font-weight:600;font-size:12px;padding:10px;border-bottom:1px solid #f7f7f7;color:gray;}.bk-root .choices__button{text-indent:-9999px;-webkit-appearance:none;-moz-appearance:none;appearance:none;border:0;background-color:transparent;background-repeat:no-repeat;background-position:center;cursor:pointer;}.bk-root .choices__button:focus{outline:none;}.bk-root .choices__input{display:inline-block;vertical-align:baseline;background-color:#f9f9f9;font-size:14px;margin-bottom:5px;border:0;border-radius:0;max-width:100%;padding:4px 0 4px 2px;}.bk-root .choices__input:focus{outline:0;}.bk-root [dir='rtl'] .choices__input{padding-right:2px;padding-left:0;}.bk-root .choices__placeholder{opacity:0.5;}.bk-root .choices{width:100%;}.bk-root .choices{box-sizing:border-box;}.bk-root .choices *,.bk-root .choices *:before,.bk-root .choices *:after{box-sizing:inherit;}.bk-root .choices__inner .choices__item.light{background-color:rgba(0, 126, 255, 0.08);border-radius:5px;border:1px solid rgba(0, 126, 255, 0.24);color:#007eff;}.bk-root .choices__inner .choices__item.solid{background-color:#1f77b4;border:none;border-radius:5px;color:white;}.bk-root .choices__inner .choices__item.solid .is-highlighted{background-color:#1f77b4;border:none;}.bk-root .choices__input{background-color:transparent;}.bk-root .choices__inner{background:transparent;border:1px solid darkgray;border-radius:5px;min-height:unset;}.bk-root .choices__list{white-space:initial;}.bk-root .choices__list--dropdown{z-index:100;}.bk-root .choices[data-type*=select-multiple] .choices__button.light{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);}.bk-root .choices[data-type*=select-multiple] .choices__button.solid{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);border-left:1px solid white;opacity:1;}\"},\n      474: function _(e,t,l,i,n){i();const s=e(1);var u;const h=(0,s.__importStar)(e(153)),o=e(445),a=e(131),r=e(43),d=e(8),p=e(11),_=(0,s.__importStar)(e(446)),m=/^[-+]?\\d*$/,c=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class v extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e<t&&(this.model.value=t)})),this.connect(this.model.properties.high.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n      475: function _(e,t,r,s,n){var a;s();const o=e(464),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n      476: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(449),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n      477: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(452),r=(0,s.__importStar)(e(446));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;a<t.length;a++){const s=(0,o.input)({type:\"radio\",name:n,value:`${a}`});s.addEventListener(\"change\",(()=>this.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n      478: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(458),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n      479: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(445),r=(0,l.__importStar)(e(446));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n      480: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(458),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n      481: function _(e,t,i,n,s){var l;n();const o=e(474),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n      482: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(444),l=e(43),p=(0,o.__importStar)(e(446));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n      483: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(438),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n      }, 436, {\"models/widgets/main\":436,\"models/widgets/index\":437,\"models/widgets/abstract_button\":438,\"models/widgets/control\":439,\"models/widgets/widget\":508,\"models/widgets/abstract_icon\":441,\"models/widgets/autocomplete_input\":442,\"models/widgets/text_input\":443,\"models/widgets/text_like_input\":444,\"models/widgets/input_widget\":445,\"styles/widgets/inputs.css\":446,\"models/widgets/button\":447,\"models/widgets/checkbox_button_group\":448,\"models/widgets/button_group\":449,\"models/widgets/oriented_control\":450,\"models/widgets/checkbox_group\":451,\"models/widgets/input_group\":452,\"models/widgets/color_picker\":453,\"models/widgets/date_picker\":454,\"styles/widgets/flatpickr.css\":456,\"models/widgets/date_range_slider\":457,\"models/widgets/abstract_slider\":458,\"styles/widgets/sliders.css\":460,\"styles/widgets/nouislider.css\":461,\"models/widgets/date_slider\":462,\"models/widgets/div\":463,\"models/widgets/markup\":464,\"styles/clearfix.css\":465,\"models/widgets/dropdown\":466,\"models/widgets/file_input\":467,\"models/widgets/multiselect\":468,\"models/widgets/paragraph\":469,\"models/widgets/password_input\":470,\"models/widgets/multichoice\":471,\"styles/widgets/choices.css\":473,\"models/widgets/numeric_input\":474,\"models/widgets/pretext\":475,\"models/widgets/radio_button_group\":476,\"models/widgets/radio_group\":477,\"models/widgets/range_slider\":478,\"models/widgets/selectbox\":479,\"models/widgets/slider\":480,\"models/widgets/spinner\":481,\"models/widgets/textarea_input\":482,\"models/widgets/toggle\":483}, {});});\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.4.1\");\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      484: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(485));o.Tables=_;(0,t(7).register_models)(_)},\n      485: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(486),r),(0,o.__exportStar)(g(489),r),t(\"DataTable\",g(492).DataTable),t(\"TableColumn\",g(510).TableColumn),t(\"TableWidget\",g(509).TableWidget);var n=g(512);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(513);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n      486: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(487),v=(0,r.__importStar)(e(488));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends w{_createInput(){return(0,E.input)({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=F,F.__name__=\"DateEditorView\";class L extends g{}i.DateEditor=L,h=L,L.__name__=\"DateEditor\",h.prototype.default_view=F},\n      487: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n      488: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root .bk-cell-special-defaults{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .bk-cell-select{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .slick-cell.bk-cell-index{border-right-color:silver;border-right-style:solid;background:#f5f5f5;text-align:right;background:#f0f0f0;color:#909090;}.bk-root .bk-header-index .slick-column-name{float:right;}.bk-root .slick-row.selected .bk-cell-index{background-color:transparent;}.bk-root .slick-row.odd{background:#f0f0f0;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;border-right-color:transparent;border:0.25px solid transparent;}.bk-root .slick-cell .bk{line-height:inherit;}.bk-root .slick-cell.active{border-style:dashed;}.bk-root .slick-cell.selected{background-color:#F0F8FF;}.bk-root .slick-cell.editable{padding-left:0;padding-right:0;}.bk-root .bk-cell-editor{display:contents;}.bk-root .bk-cell-editor input,.bk-root .bk-cell-editor 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h,TreeColumns:function(t){var n={};function i(t){t.forEach((function(t){n[t.id]=t,t.columns&&i(t.columns)}))}function o(t,n){return t.filter((function(t){var i=n.call(t);return i&&t.columns&&(t.columns=o(t.columns,n)),i&&(!t.columns||t.columns.length)}))}function e(t,n){t.sort((function(t,i){return u(n.getColumnIndex(t.id))-u(n.getColumnIndex(i.id))})).forEach((function(t){t.columns&&e(t.columns,n)}))}function u(t){return void 0===t?-1:t}function s(t){if(!t.length)return t.columns?1+s(t.columns):1;for(var n in t)return s(t[n])}function l(t,n,i){var o=[];if(n==(i=i||0))return t.length&&t.forEach((function(t){t.columns&&(t.extractColumns=function(){return c(t)})})),t;for(var e in t)t[e].columns&&(o=o.concat(l(t[e].columns,n,i+1)));return o}function c(t){var n=[];if(t.hasOwnProperty(\"length\"))for(var i=0;i<t.length;i++)n=n.concat(c(t[i]));else{if(!t.hasOwnProperty(\"columns\"))return t;n=n.concat(c(t.columns))}return n}function h(){return r.extend(!0,[],t)}i(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?c(t):t},this.getDepth=function(){return s(t)},this.getColumnsInDepth=function(n){return l(t,n)},this.getColumnsInGroup=function(t){return c(t)},this.visibleColumns=function(){return o(h(),(function(){return this.visible}))},this.filter=function(t){return o(h(),t)},this.reOrder=function(n){return e(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n      497: function _(e,t,o,l,n){var i=e(494),c=e(496);t.exports={CheckboxSelectColumn:function(e){var t,o=null,l=k(),n=new c.EventHandler,r={},d=!1,a=i.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){i(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||i(\"#header-filter-selector\"+l).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(i.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(i(e.target).is(\":checked\")){for(var l=[],n=0;n<t.getDataLength();n++){C(n,t.getDataItem(n),t)&&l.push(n)}t.setSelectedRows(l)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox' checked='checked'><label for='header-selector\"+l+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",a.toolTip)}function v(e){o=e}i.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(i(t.node).empty(),i(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+l+\"' type='checkbox'><label for='header-filter-selector\"+l+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,m)},destroy:function(){n.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(i.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=i.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),n.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=i(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n      498: function _(e,t,o,l,n){var a=e(494),r=e(496),i=r.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,l=this,n=e||{},s=n.copiedCellStyleLayerKey||\"copy-manager\",u=n.copiedCellStyle||\"copied\",c=0,d=n.bodyElement||document.body,f=n.onCopyInit||null,h=n.onCopySuccess||null;function C(e){if(n.headerColumnValueExtractor){var t=n.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,l){if(n.dataItemColumnValueExtractor){var r=n.dataItemColumnValueExtractor(e,o);if(r)return r}var i=\"\";if(o.editor){var s={container:a(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:l},u=new o.editor(s);u.loadValue(e),i=u.serializeValue(),u.destroy()}else i=e[o.field];return i}function g(e,o,l){if(o.denyPaste)return null;if(n.dataItemColumnValueSetter)return n.dataItemColumnValueSetter(e,o,l);if(o.editor){var r={container:a(\"body\"),column:o,position:{top:0,left:0},grid:t},i=new o.editor(r);i.loadValue(e),i.applyValue(e,l),i.destroy()}else e[o.field]=l}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,a){var r;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==i.ESC&&o&&(e.preventDefault(),w(),l.onCopyCancelled.notify({ranges:o}),o=null),(e.which===i.C||e.which===i.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(r=t.getSelectionModel().getSelectedRanges()).length)){o=r,v(r),l.onCopyCells.notify({ranges:r});for(var s=t.getColumns(),u=\"\",c=0;c<r.length;c++){for(var y=r[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&n.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===r.length?r[0].toRow+1-r[0].fromRow:r.length,h.call(this,I)}return!1}if(!n.readOnlyMode&&(e.which===i.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===i.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),a=t.value.split(/[\\n\\f\\r]/);\"\"===a[a.length-1]&&a.pop();var r=[],i=0;d.removeChild(t);for(var s=0;s<a.length;s++)\"\"!==a[s]?r[i++]=a[s].split(\"\\t\"):r[i++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=r.length,y=r.length?r[0].length:0;1==r.length&&1==r[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&n.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(n.newRowCreator&&R){var x=h+p-e.getDataLength();n.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:r,oldValues:[],cellExternalCopyManager:l,_options:n,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var i=e.getDataItem(n);this.oldValues[t][l]=i[o[a].field],m?this.setDataItemValueForColumn(i,o[a],r[0][0]):this.setDataItemValueForColumn(i,o[a],r[t]?r[t][l]:\"\"),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};n.clipboardCommandHandler?n.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),n={},a=0;a<e.length;a++)for(var r=e[a].fromRow;r<=e[a].toRow;r++){n[r]={};for(var i=e[a].fromCell;i<=e[a].toCell&&i<o.length;i++)n[r][o[i].id]=u}t.setCellCssStyles(s,n),clearTimeout(c),c=setTimeout((function(){l.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}a.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new r.Event,onCopyCancelled:new r.Event,onPasteCells:new r.Event,setIncludeHeaderWhenCopying:function(e){n.includeHeaderWhenCopying=e}})}}},\n      499: function _(r,t,o,_,e){var p=r(1);p.__exportStar(r(496),t.exports),p.__exportStar(r(500),t.exports),p.__exportStar(r(503),t.exports),p.__exportStar(r(504),t.exports),p.__exportStar(r(505),t.exports),p.__exportStar(r(506),t.exports),p.__exportStar(r(507),t.exports)},\n      500: function _(require,module,exports,__esModule,__esExport){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.4\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(494),Slick=require(496),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(501),$.fn.drop||require(502);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)||trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){if(!Array.isArray(e)||!Array.isArray(o))return!0;const t=new Set(e),n=new Set(o);if(t.size!=n.size)return!1;for(const e of t)if(!n.has(e))return!1;return!0}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      501: function _(t,e,a,n,r){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(494);o.fn.drag=function(t,e,a){var n=\"string\"==typeof t?t:\"\",r=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drag\")&&(n=\"drag\"+n),a=(t==r?e:a)||{},r?this.on(n,a,r):this.trigger(n)};var i=o.event,d=i.special,s=d.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=o.data(this,s.datakey),a=t.data||{};e.related+=1,o.each(s.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){o.data(this,s.datakey).related-=1},setup:function(){if(!o.data(this,s.datakey)){var t=o.extend({related:0},s.defaults);o.data(this,s.datakey,t),i.add(this,\"touchstart mousedown\",s.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",s.dontstart)}},teardown:function(){(o.data(this,s.datakey)||{}).related||(o.removeData(this,s.datakey),i.remove(this,\"touchstart mousedown\",s.init),s.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",s.dontstart))},init:function(t){if(!s.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var n=o(t.target).attr(\"class\")||\"\";if(!o(t.target).is(a.not)&&n&&-1!==n.toString().indexOf(\"slick\")&&(!a.handle||o(t.target).closest(a.handle,t.currentTarget).length)&&(s.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[s.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=s.hijack(t,\"draginit\",a),a.propagates))return(e=s.flatten(e))&&e.length&&(a.interactions=[],o.each(e,(function(){a.interactions.push(s.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&d.drop&&d.drop.handler(t,a),s.textselect(!1),s.touched?i.add(s.touched,\"touchmove touchend\",s.handler,a):i.add(document,\"mousemove mouseup\",s.handler,a),!(!s.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&o(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new s.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,s.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(s.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&d.drop&&d.drop.handler(t,e);break}t.type=\"mouseup\"}default:s.touched?i.remove(s.touched,\"touchmove touchend\",s.handler):i.remove(document,\"mousemove mouseup\",s.handler),e.dragging&&(!1!==e.drop&&d.drop&&d.drop.handler(t,e),s.hijack(t,\"dragend\",e)),s.textselect(!0),!1===e.click&&e.dragging&&o.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=s.touched=!1}},hijack:function(t,e,a,n,r){if(a){var d,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=n||0,h=isNaN(n)?a.interactions.length:n;t.type=e;var f=function(){};t.originalEvent=new o.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=s.properties(t,a,c),c.results=[],o(r||c[u]||a.droppable).each((function(n,r){if(l.target=r,t.isPropagationStopped=function(){return!1},!1===(d=r?i.dispatch.call(r,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][n]=null)):\"dropinit\"==e&&c.droppable.push(s.element(d)||r),\"dragstart\"==e&&(c.proxy=o(s.element(d)||c.drag)[0]),c.results.push(d),delete t.result,\"dropinit\"!==e)return d})),a.results[g]=s.flatten(c.results),\"dropinit\"==e&&(c.droppable=s.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,s.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=s.flatten((a.drop||[]).slice()),n.available=s.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return o.map(t,(function(t){return t&&t.jquery?o.makeArray(t):t&&t.length?s.flatten(t):t}))},textselect:function(t){o(document)[t?\"off\":\"on\"](\"selectstart\",s.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};s.callback.prototype={update:function(){d.drop&&this.available.length&&o.each(this.available,(function(t){d.drop.locate(this,t)}))}};var c=i.dispatch;i.dispatch=function(t){if(!(o.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return 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r=o.event.special,d=o.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){o.data(this,d.datakey).related+=1},remove:function(){o.data(this,d.datakey).related-=1},setup:function(){if(!o.data(this,d.datakey)){o.data(this,d.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),d.targets.push(this)}},teardown:function(){if(!(o.data(this,d.datakey)||{}).related){o.removeData(this,d.datakey);var t=this;d.targets=o.grep(d.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=o(d.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=o.data(this,d.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,r.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":d.event=t,d.timer||d.tolerate(e);break;case\"mouseup\":case\"touchend\":d.timer=clearTimeout(d.timer),e.propagates&&(r.drag.hijack(t,\"drop\",e),r.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=o.data(t,d.datakey),n=o(t),i=n.length&&!n.is(document)?n.offset():{},r=n.outerHeight(),l=n.outerWidth(),c={elem:t,width:l,height:r,top:i.top,left:i.left,right:i.left+l,bottom:i.top+r};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,n,i,l,c,s,u,p=0,h=t.interactions.length,m=[d.event.pageX,d.event.pageY],f=d.tolerance||d.modes[d.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(n=d.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(i=o.data(s,d.datakey)).location))continue;i.winner=f?f.call(d,d.event,n,a):d.contains(a,m)?1:0,l.push(i)}}while(++e<c);l.sort(d.sort),e=0;do{(i=l[e])&&(i.winner&&u.drop.length<d.multi?(i.active[p]||i.anyactive||(!1!==r.drag.hijack(d.event,\"dropstart\",t,p,i.elem)[0]?(i.active[p]=1,i.anyactive+=1):i.winner=0),i.winner&&u.drop.push(i.elem)):i.active[p]&&1==i.anyactive&&(r.drag.hijack(d.event,\"dropend\",t,p,i.elem),i.active[p]=0,i.anyactive-=1))}while(++e<c)}}while(++p<h);d.last&&m[0]==d.last.pageX&&m[1]==d.last.pageY?delete d.timer:d.timer=setTimeout((function(){d.tolerate(t)}),d.delay),d.last=d.event}};r.dropinit=r.dropstart=r.dropend=d},\n      503: function _(e,t,n,r,o){var i=e(494),l=e(496);var a={Avg:function(e){this.field_=e,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(e){var t=e[this.field_];this.count_++,null==t||\"\"===t||isNaN(t)||(this.nonNullCount_++,this.sum_+=parseFloat(t))},this.storeResult=function(e){e.avg||(e.avg={}),0!==this.nonNullCount_&&(e.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(e){this.field_=e,this.init=function(){this.min_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.min_||t<this.min_)&&(this.min_=t)},this.storeResult=function(e){e.min||(e.min={}),e.min[this.field_]=this.min_}},Max:function(e){this.field_=e,this.init=function(){this.max_=null},this.accumulate=function(e){var 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\"].join(\"\");o=(o=(o=o.replace(/\\$filter\\$/gi,r)).replace(/\\$item\\$/gi,e.params[0])).replace(/\\$args\\$/gi,e.params[1]);var i=new Function(\"_items,_args,_cache\",o),l=\"compiledFilterWithCaching\";return i.displayName=l,i.name=oe(i,l),i}()),se()},getFilter:function(){return p},getFilteredItems:function(){return y},sort:B,fastSort:z,reSort:function(){n?B(n,v):t&&z(t,v)},setGrouping:V,getGrouping:function(){return I},groupBy:function(e,t,n){V(null!=e?{getter:e,formatter:t,comparer:n}:[])},setAggregators:function(e,t){if(!I.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");I[0].aggregators=e,I[0].aggregateCollapsed=t,V(I)},collapseAllGroups:function(e){J(e,!0)},expandAllGroups:function(e){J(e,!1)},collapseGroup:function(e){var t,n,r=Array.prototype.slice.call(arguments),o=r[0];1===r.length&&-1!==o.indexOf(E)?(t=o,n=o.split(E).length-1):(t=r.join(E),n=r.length-1),Q(n,t,!0),D.notify({level:n,groupingKey:t})},expandGroup:function(e){var t,n,r=Array.prototype.slice.call(arguments),o=r[0];1===r.length&&-1!==o.indexOf(E)?(n=o.split(E).length-1,t=o):(n=r.length-1,t=r.join(E)),Q(n,t,!1),P.notify({level:n,groupingKey:t})},getGroups:function(){return R},getIdxById:function(e){return f[e]},getRowByItem:function(e){return q(),h[e[s]]},getRowById:function(e){return q(),h[e]},getItemById:U,getItemByIdx:function(e){return g[e]},mapItemsToRows:function(e){var t=[];q();for(var n=0,r=e.length;n<r;n++){var o=h[e[n][s]];null!=o&&(t[t.length]=o)}return t},mapRowsToIds:function(e){for(var t=[],n=0,r=e.length;n<r;n++)e[n]<c.length&&(t[t.length]=c[e[n]][s]);return t},mapIdsToRows:function(e){var t=[];q();for(var n=0,r=e.length;n<r;n++){var o=h[e[n]];null!=o&&(t[t.length]=o)}return t},setRefreshHints:function(e){_=e},setFilterArgs:function(e){r=e},refresh:se,updateItem:L,insertItem:k,addItem:function(e){g.push(e),K(g.length-1),se()},deleteItem:H,sortedAddItem:W,sortedUpdateItem:function(e,t){if(void 0===f[e]||e!==t[s])throw new Error(\"Invalid or non-matching id \"+f[e]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=U(e);0!==n(r,t)?(H(e),W(t)):L(e,t)},syncGridSelection:function(e,t,n){var r,o=this,a=o.mapRowsToIds(e.getSelectedRows()),u=new l.Event;function s(t){a.join(\",\")!=t.join(\",\")&&(a=t,u.notify({grid:e,ids:a,dataView:o},new l.EventData,o))}return e.onSelectedRowsChanged.subscribe((function(t,l){if(!r){var u=o.mapRowsToIds(e.getSelectedRows());if(n&&e.getOptions().multiSelect)s(i.grep(a,(function(e){return void 0===o.getRowById(e)})).concat(u));else s(u)}})),this.onRowsOrCountChanged.subscribe((function(){if(a.length>0){r=!0;var n=o.mapIdsToRows(a);t||s(o.mapRowsToIds(n)),e.setSelectedRows(n),r=!1}})),u},syncGridCellCssStyles:function(e,t){var n,r;function o(e){for(var t in n={},e){var r=c[t][s];n[r]=e[t]}}function i(){if(n){r=!0,q();var o={};for(var i in n){var l=h[i];null!=l&&(o[l]=n[i])}e.setCellCssStyles(t,o),r=!1}}o(e.getCellCssStyles(t)),e.onCellCssStylesChanged.subscribe((function(n,l){r||t==l.key&&(l.hash?o(l.hash):(e.onCellCssStylesChanged.unsubscribe(),u.onRowsOrCountChanged.unsubscribe(i)))})),this.onRowsOrCountChanged.subscribe(i)},getLength:function(){return c.length},getItem:function(e){var t=c[e];if(t&&t.__group&&t.totals&&!t.totals.initialized){var n=I[t.level];n.displayTotalsRow||(Y(t.totals),t.title=n.formatter?n.formatter(t):t.value)}else t&&t.__groupTotals&&!t.initialized&&Y(t);return t},getItemMetadata:function(t){var n=c[t];return void 0===n?null:n.__group?e.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?e.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onSetItemsCalled:F,onRowCountChanged:A,onRowsChanged:N,onRowsOrCountChanged:G,onBeforePagingInfoChanged:T,onPagingInfoChanged:O,onGroupExpanded:P,onGroupCollapsed:D})},Aggregators:a,Data:{Aggregators:a}}},\n      504: function _(e,t,i,n,o){var l=e(494),a=e(496);function s(e){var t,i;function n(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=s.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(o){i=o[e.column.field];var l=n();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());s.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=n();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function u(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===a.keyCode.LEFT&&t>0||e.keyCode===a.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function c(e){e.keyCode!==a.keyCode.LEFT&&e.keyCode!==a.keyCode.RIGHT||e.stopImmediatePropagation()}s.DefaultDecimalPlaces=null,s.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:s,Date:function(e){var t,i,n=!1;this.init=function(){(t=l(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){n=!0},onClose:function(){n=!1}}),t.width(t.width()-18)},this.destroy=function(){l.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){n&&l.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){n&&l.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){n&&l.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=l(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=l(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,n;this.init=function(){(t=l(\"<INPUT type=text class='editor-percentcomplete' />\")).width(l(e.container).innerWidth()-25),t.appendTo(e.container),(i=l(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:n,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(l(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",l(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&(parseInt(t.val(),10)||0)!=n},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,n,o=this;this.init=function(){var n=l(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=l(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(n),t=l(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),l(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),o.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==a.keyCode.ENTER&&t.ctrlKey)o.save();else if(t.which==a.keyCode.ESCAPE)t.preventDefault(),o.cancel();else if(t.which==a.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==a.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==a.keyCode.LEFT||t.which==a.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===a.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===a.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(n),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&t.val()!=n},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      505: function _(e,n,r,t,c){e(496);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      506: function _(t,o,r,e,n){var a=t(494),l=t(496);o.exports={RemoteModel:function(){var t=50,o={length:0},r=\"\",e=null,n=1,i=null,s=null,u=new l.Event,f=new l.Event;function c(){for(var t in o)delete o[t];o.length=0}function h(l,c){if(s){s.abort();for(var h=s.fromPage;h<=s.toPage;h++)o[h*t]=void 0}l<0&&(l=0),o.length>0&&(c=Math.min(c,o.length-1));for(var v=Math.floor(l/t),m=Math.floor(c/t);void 0!==o[v*t]&&v<m;)v++;for(;void 0!==o[m*t]&&v<m;)m--;if(v>m||v==m&&void 0!==o[v*t])f.notify({from:l,to:c});else{var g=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+r+\"&start=\"+v*t+\"&limit=\"+((m-v)*t+t);null!=e&&(g+=\"&sortby=\"+e+(n>0?\"+asc\":\"+desc\")),null!=i&&clearTimeout(i),i=setTimeout((function(){for(var r=v;r<=m;r++)o[r*t]=null;u.notify({from:l,to:c}),s=a.jsonp({url:g,callbackParameter:\"callback\",cache:!0,success:d,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(v,m)}}),s.fromPage=v,s.toPage=m}),50)}}function d(t){var r=t.request.start,e=r+t.results.length;o.length=Math.min(parseInt(t.hits),1e3);for(var n=0;n<t.results.length;n++){var a=t.results[n].item;o[r+n]=a,o[r+n].index=r+n}s=null,f.notify({from:r,to:e})}return{data:o,clear:c,isDataLoaded:function(t,r){for(var e=t;e<=r;e++)if(null==o[e]||null==o[e])return!1;return!0},ensureData:h,reloadData:function(t,r){for(var e=t;e<=r;e++)delete o[e];h(t,r)},setSort:function(t,o){e=t,n=o,c()},setSearch:function(t){r=t,c()},onDataLoading:u,onDataLoaded:f}}}},\n      507: function _(e,s,t,o,l){var a=e(494),r=e(496);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,l,a,r){if(!o.enableExpandCollapse)return a.title;var c=15*a.level+\"px\";return(o.checkboxSelect?'<span class=\"'+o.checkboxSelectCssClass+\" \"+(a.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+o.toggleCssClass+\" \"+(a.collapsed?o.toggleCollapsedCssClass:o.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+o.groupTitleCssClass+\"' level='\"+a.level+\"'>\"+a.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},o=a.extend(!0,{},t,e);function l(e,t){var l=a(e.target),c=this.getDataItem(t.row);if(c&&c instanceof r.Group&&l.hasClass(o.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof r.Group&&l.hasClass(o.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,l.removeClass(c.selectChecked?\"unchecked\":\"checked\"),l.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?o.checkboxSelectPlugin.selectRows:o.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(o.enableExpandCollapse&&e.which==r.keyCode.SPACE){var l=this.getActiveCell();if(l){var a=this.getDataItem(l.row);if(a&&a instanceof r.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),a.collapsed?this.getData().expandGroup(a.groupingKey):this.getData().collapseGroup(a.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:o.groupFocusable,cssClasses:o.groupCssClass+\" slick-group-level-\"+s,formatter:o.includeHeaderTotals&&o.totalsFormatter,columns:{0:{colspan:o.includeHeaderTotals?\"1\":\"*\",formatter:o.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:o.totalsFocusable,cssClasses:o.totalsCssClass+\" slick-group-level-\"+s,formatter:o.totalsFormatter,editor:null}},getOptions:function(){return o},setOptions:function(e){a.extend(!0,o,e)}}}}},\n      508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n      509: function _(e,i,t,s,n){var u;s();const c=e(508),o=e(75),a=e(190);class r extends c.Widget{constructor(e){super(e)}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=r,u=r,r.__name__=\"TableWidget\",u.define((({Ref:e})=>({source:[e(o.ColumnDataSource),()=>new o.ColumnDataSource],view:[e(a.CDSView),()=>new a.CDSView]})))},\n      510: function _(t,e,i,r,o){var l;r();const d=t(489),n=t(486),a=t(34),s=t(20),u=t(53);class f extends u.Model{constructor(t){super(t)}toColumn(){var t;return{id:(0,a.uniqueId)(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=f,l=f,f.__name__=\"TableColumn\",l.define((({Boolean:t,Number:e,String:i,Nullable:r,Ref:o})=>({field:[i],title:[r(i),null],width:[e,300],formatter:[o(d.StringFormatter),()=>new d.StringFormatter],editor:[o(n.StringEditor),()=>new n.StringEditor],sortable:[t,!0],default_sort:[s.Sort,\"ascending\"],visible:[t,!0]})))},\n      511: function _(A,o,e,r,i){r(),e.root=\"bk-root\",e.default='.bk-root{}.bk-root .slick-header.ui-state-default,.bk-root .slick-headerrow.ui-state-default,.bk-root .slick-footerrow.ui-state-default,.bk-root .slick-top-panel-scroller.ui-state-default,.bk-root .slick-group-header.ui-state-default{width:100%;overflow:auto;position:relative;border-left:0px !important;}.bk-root .slick-header.ui-state-default{overflow:inherit;}.bk-root .slick-header::-webkit-scrollbar,.bk-root .slick-headerrow::-webkit-scrollbar,.bk-root .slick-footerrow::-webkit-scrollbar{display:none;}.bk-root .slick-header-columns,.bk-root .slick-headerrow-columns,.bk-root .slick-footerrow-columns,.bk-root .slick-group-header-columns{position:relative;white-space:nowrap;cursor:default;overflow:hidden;}.bk-root .slick-header-column.ui-state-default,.bk-root .slick-group-header-column.ui-state-default{position:relative;display:inline-block;box-sizing:content-box !important;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;height:16px;line-height:16px;margin:0;padding:4px;border-right:1px solid silver;border-left:0px !important;border-top:0px !important;border-bottom:0px !important;float:left;}.bk-root .slick-footerrow-column.ui-state-default{-o-text-overflow:ellipsis;text-overflow:ellipsis;margin:0;padding:4px;border-right:1px solid silver;border-left:0px;border-top:0px;border-bottom:0px;float:left;line-height:20px;vertical-align:middle;}.bk-root .slick-headerrow-column.ui-state-default,.bk-root .slick-footerrow-column.ui-state-default{padding:4px;}.bk-root .slick-header-column-sorted{font-style:italic;}.bk-root .slick-sort-indicator{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:6px;float:left;}.bk-root .slick-sort-indicator-numbered{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:0;line-height:20px;float:left;font-family:Arial;font-style:normal;font-weight:bold;color:#6190CD;}.bk-root .slick-sort-indicator-desc{background:url(images/sort-desc.gif);}.bk-root .slick-sort-indicator-asc{background:url(images/sort-asc.gif);}.bk-root .slick-resizable-handle{position:absolute;font-size:0.1px;display:block;cursor:col-resize;width:9px;right:-5px;top:0;height:100%;z-index:1;}.bk-root .slick-sortable-placeholder{background:silver;}.bk-root .grid-canvas{position:relative;outline:0;}.bk-root .slick-row.ui-widget-content,.bk-root .slick-row.ui-state-active{position:absolute;border:0px;width:100%;}.bk-root .slick-cell,.bk-root .slick-headerrow-column,.bk-root .slick-footerrow-column{position:absolute;border:1px solid transparent;border-right:1px dotted silver;border-bottom-color:silver;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;vertical-align:middle;z-index:1;padding:1px 2px 2px 1px;margin:0;white-space:nowrap;cursor:default;}.bk-root .slick-cell,.bk-root .slick-headerrow-column{border-bottom-color:silver;}.bk-root .slick-footerrow-column{border-top-color:silver;}.bk-root .slick-group-toggle{display:inline-block;}.bk-root .slick-cell.highlighted{background:lightskyblue;background:rgba(0, 0, 255, 0.2);-webkit-transition:all 0.5s;-moz-transition:all 0.5s;-o-transition:all 0.5s;transition:all 0.5s;}.bk-root .slick-cell.flashing{border:1px solid red !important;}.bk-root .slick-cell.editable{z-index:11;overflow:visible;background:white;border-color:black;border-style:solid;}.bk-root .slick-cell:focus{outline:none;}.bk-root .slick-reorder-proxy{display:inline-block;background:blue;opacity:0.15;cursor:move;}.bk-root .slick-reorder-guide{display:inline-block;height:2px;background:blue;opacity:0.7;}.bk-root .slick-selection{z-index:10;position:absolute;border:2px dashed black;}.bk-root .slick-pane{position:absolute;outline:0;overflow:hidden;width:100%;}.bk-root .slick-pane-header{display:block;}.bk-root .slick-header{overflow:hidden;position:relative;}.bk-root .slick-headerrow{overflow:hidden;position:relative;}.bk-root .slick-top-panel-scroller{overflow:hidden;position:relative;}.bk-root .slick-top-panel{width:10000px;}.bk-root .slick-viewport{position:relative;outline:0;width:100%;}.bk-root .slick-header-columns{background:url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;border-bottom:1px solid silver;}.bk-root .slick-header-column{background:url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;border-right:1px solid silver;}.bk-root .slick-header-column:hover,.bk-root .slick-header-column-active{background:white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;}.bk-root .slick-headerrow{background:#fafafa;}.bk-root .slick-headerrow-column{background:#fafafa;border-bottom:0;height:100%;}.bk-root .slick-row.ui-state-active{background:#F5F7D7;}.bk-root .slick-row{position:absolute;background:white;border:0px;line-height:20px;}.bk-root .slick-row.selected{z-index:10;background:#DFE8F6;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;}.bk-root .slick-group{border-bottom:2px solid silver;}.bk-root .slick-group-toggle{width:9px;height:9px;margin-right:5px;}.bk-root .slick-group-toggle.expanded{background:url(images/collapse.gif) no-repeat center center;}.bk-root .slick-group-toggle.collapsed{background:url(images/expand.gif) no-repeat center center;}.bk-root .slick-group-totals{color:gray;background:white;}.bk-root .slick-group-select-checkbox{width:13px;height:13px;margin:3px 10px 0 0;display:inline-block;}.bk-root .slick-group-select-checkbox.checked{background:url(images/GrpCheckboxY.png) no-repeat center center;}.bk-root .slick-group-select-checkbox.unchecked{background:url(images/GrpCheckboxN.png) no-repeat center center;}.bk-root .slick-cell.selected{background-color:beige;}.bk-root .slick-cell.active{border-color:gray;border-style:solid;}.bk-root .slick-sortable-placeholder{background:silver !important;}.bk-root .slick-row.odd{background:#fafafa;}.bk-root .slick-row.ui-state-active{background:#F5F7D7;}.bk-root .slick-row.loading{opacity:0.5;}.bk-root .slick-cell.invalid{border-color:red;-moz-animation-duration:0.2s;-webkit-animation-duration:0.2s;-moz-animation-name:slickgrid-invalid-hilite;-webkit-animation-name:slickgrid-invalid-hilite;}@-moz-keyframes slickgrid-invalid-hilite{from{box-shadow:0 0 6px red;}to{box-shadow:none;}}@-webkit-keyframes slickgrid-invalid-hilite{from{box-shadow:0 0 6px red;}to{box-shadow:none;}}.bk-root .slick-column-name,.bk-root .slick-sort-indicator{display:inline-block;float:left;margin-bottom:100px;}.bk-root .slick-header-button{display:inline-block;float:right;vertical-align:top;margin:1px;margin-bottom:100px;height:15px;width:15px;background-repeat:no-repeat;background-position:center center;cursor:pointer;}.bk-root .slick-header-button-hidden{width:0;-webkit-transition:0.2s width;-ms-transition:0.2s width;transition:0.2s width;}.bk-root .slick-header-column:hover > .slick-header-button{width:15px;}.bk-root .slick-header-menubutton{position:absolute;right:0;top:0;bottom:0;width:14px;background-repeat:no-repeat;background-position:left center;background-image:url(../images/down.gif);cursor:pointer;display:none;border-left:thin ridge silver;}.bk-root .slick-header-column:hover > .slick-header-menubutton,.bk-root .slick-header-column-active .slick-header-menubutton{display:inline-block;}.bk-root .slick-header-menu{position:absolute;display:inline-block;margin:0;padding:2px;cursor:default;}.bk-root .slick-header-menuitem{list-style:none;margin:0;padding:0;cursor:pointer;}.bk-root .slick-header-menuicon{display:inline-block;width:16px;height:16px;vertical-align:middle;margin-right:4px;background-repeat:no-repeat;background-position:center center;}.bk-root .slick-header-menucontent{display:inline-block;vertical-align:middle;}.bk-root .slick-header-menuitem-disabled{color:silver;}.bk-root .slick-header-menuitem.slick-header-menuitem-divider{cursor:default;border:none;overflow:hidden;padding:0;height:1px;margin:8px 2px;background-color:#cecece;}.bk-root .slick-header-menuitem-divider.slick-header-menuitem:hover{background-color:#cecece;}.bk-root .slick-columnpicker{border:1px solid #718BB7;background:#f0f0f0;padding:6px;-moz-box-shadow:2px 2px 2px silver;-webkit-box-shadow:2px 2px 2px silver;box-shadow:2px 2px 2px silver;min-width:150px;cursor:default;position:absolute;z-index:20;overflow:auto;resize:both;}.bk-root .slick-columnpicker > .close{float:right;}.bk-root .slick-columnpicker .title{font-size:16px;width:60%;border-bottom:solid 1px #d6d6d6;margin-bottom:10px;}.bk-root .slick-columnpicker li{list-style:none;margin:0;padding:0;background:none;}.bk-root .slick-columnpicker input{margin:4px;}.bk-root .slick-columnpicker li a{display:block;padding:4px;font-weight:bold;}.bk-root .slick-columnpicker li a:hover{background:white;}.bk-root .slick-columnpicker-list li.hidden{display:none;}.bk-root .slick-pager{width:100%;height:26px;border:1px solid gray;border-top:0;background:url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;vertical-align:middle;}.bk-root .slick-pager .slick-pager-status{display:inline-block;padding:6px;}.bk-root .slick-pager .ui-icon-container{display:inline-block;margin:2px;border-color:gray;}.bk-root .slick-pager .slick-pager-nav{display:inline-block;float:left;padding:2px;}.bk-root .slick-pager .slick-pager-settings{display:block;float:right;padding:2px;}.bk-root .slick-pager .slick-pager-settings *{vertical-align:middle;}.bk-root .slick-pager .slick-pager-settings a{padding:2px;text-decoration:underline;cursor:pointer;}.bk-root .slick-header-columns{border-bottom:1px solid silver;background-image:none;}.bk-root .slick-header-column{border-right:1px solid transparent;background-image:none;}.bk-root .slick-header-column:last-of-type{border-right-color:transparent;}.bk-root .slick-header-column:hover,.bk-root .slick-header-column-active{background-color:#F0F8FF;background-image:none;}.bk-root .slick-group-toggle.expanded{background-image:url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");}.bk-root 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.slick-sort-indicator-asc{background-image:url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");}.bk-root .slick-header-menubutton{background-image:url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");}.bk-root .slick-pager{background-image:none;}'},\n      512: function _(t,e,s,r,a){var i;r();const n=t(499),{Avg:u,Min:g,Max:o,Sum:c}=n.Data.Aggregators,l=t(53);class _ extends l.Model{constructor(t){super(t)}}s.RowAggregator=_,i=_,_.__name__=\"RowAggregator\",i.define((({String:t})=>({field_:[t,\"\"]})));const m=new u;class h extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=m.init,this.accumulate=m.accumulate,this.storeResult=m.storeResult}}s.AvgAggregator=h,h.__name__=\"AvgAggregator\";const A=new g;class R extends _{constructor(){super(...arguments),this.key=\"min\",this.init=A.init,this.accumulate=A.accumulate,this.storeResult=A.storeResult}}s.MinAggregator=R,R.__name__=\"MinAggregator\";const x=new o;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const M=new c;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=M.init,this.accumulate=M.accumulate,this.storeResult=M.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      513: function _(e,t,s,o,r){var a,i;o();const l=e(43),n=e(499),u=e(487),g=e(492),c=e(75),p=e(512),h=e(53);function d(e,t,s,o,r){const{collapsed:a,level:i,title:n}=r,u=(0,l.span)({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*i+\"px\"}}),g=(0,l.span)({class:\"slick-group-title\",level:i},n);return`${u.outerHTML}${g.outerHTML}`}function f(e,t){const s=this.getDataItem(t.row);s instanceof n.Group&&e.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),e.stopImmediatePropagation(),e.preventDefault(),this.invalidate(),this.render())}class m extends h.Model{constructor(e){super(e)}get comparer(){return(e,t)=>e.value===t.value?0:e.value>t.value?1:-1}}s.GroupingInfo=m,a=m,m.__name__=\"GroupingInfo\",a.define((({Boolean:e,String:t,Array:s,Ref:o})=>({getter:[t,\"\"],aggregators:[s(o(p.RowAggregator)),[]],collapsed:[e,!1]})));class w extends g.TableDataProvider{constructor(e,t,s,o){super(e,t),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(e){this.groupingInfos=e,this.toggledGroupsByLevel=e.map((()=>({}))),this.refresh()}extractGroups(e,t){const s=[],o=new Map,r=t?t.level+1:0,{comparer:a,getter:i}=this.groupingInfos[r];return e.forEach((e=>{const a=this.source.data[i][e];let l=o.get(a);if(!l){const e=t?`${t.groupingKey}${this.groupingDelimiter}${a}`:`${a}`;l=Object.assign(new n.Group,{value:a,level:r,groupingKey:e}),s.push(l),o.set(a,l)}l.rows.push(e)})),r<this.groupingInfos.length-1&&s.forEach((e=>{e.groups=this.extractGroups(e.rows,e)})),s.sort(a),s}calculateTotals(e,t){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),a=e.rows.map((e=>r.reduce(((t,s)=>Object.assign(Object.assign({},t),{[s]:o[s][e]})),{})));return t.forEach((e=>{e.init(),a.forEach((t=>e.accumulate(t))),e.storeResult(s)})),s}addTotals(e,t=0){const{aggregators:s,collapsed:o}=this.groupingInfos[t],r=this.toggledGroupsByLevel[t];e.forEach((e=>{e.groups&&this.addTotals(e.groups,t+1),s.length&&e.rows.length&&(e.totals=this.calculateTotals(e,s)),e.collapsed=o!==r[e.groupingKey],e.title=e.value?`${e.value}`:\"\"}))}flattenedGroupedRows(e,t=0){const s=[];return e.forEach((e=>{if(s.push(e),!e.collapsed){const o=e.groups?this.flattenedGroupedRows(e.groups,t+1):e.rows;s.push(...o)}})),s}refresh(){const e=this.extractGroups([...this.view.indices]),t=this.source.data[this.columns[0].field];e.length&&(this.addTotals(e),this.rows=this.flattenedGroupedRows(e),this.target.data={row_indices:this.rows.map((e=>e instanceof n.Group?e.rows:e)),labels:this.rows.map((e=>e instanceof n.Group?e.title:t[e]))})}getLength(){return this.rows.length}getItem(e){const t=this.rows[e],{source:{data:s}}=this;return t instanceof n.Group?t:Object.keys(s).reduce(((e,o)=>Object.assign(Object.assign({},e),{[o]:s[o][t]})),{[u.DTINDEX_NAME]:t})}getItemMetadata(e){const t=this.rows[e],s=this.columns.slice(1),o=t instanceof n.Group?this.groupingInfos[t.level].aggregators:[];return t instanceof 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the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. 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e.getProperty(\"color\")&&(r.mathcolor=e.getProperty(\"color\")),this.Push(this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.CLOSE}),this.create(\"token\",\"mo\",r,e.getProperty(\"delim\")),this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.OPEN})),this.env={},[[this],!0]}return t.prototype.checkItem.call(this,e)},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"ExtraLeftMissingRight\",\"Extra \\\\left or missing \\\\right\"]}),e}(y.BaseItem);r.LeftItem=O;var k=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"middle\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.Middle=k;var j=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"right\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.RightItem=j;var E=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"begin\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"end\")){if(e.getName()!==this.getName())throw new f.default(\"EnvBadEnd\",\"\\\\begin{%1} ended with \\\\end{%2}\",this.getName(),e.getName());return this.getProperty(\"end\")?y.BaseItem.fail:[[this.factory.create(\"mml\",this.toMml())],!0]}if(e.isKind(\"stop\"))throw new f.default(\"EnvMissingEnd\",\"Missing 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n=e.First;if(!e.isKind(\"mml\")||!n)return[[r,e],!0];if(d.default.isType(n,\"mstyle\")&&n.childNodes.length&&d.default.isType(n.childNodes[0].childNodes[0],\"mspace\")||d.default.isType(n,\"mspace\"))return[[r,e],!0];d.default.isEmbellished(n)&&(n=d.default.getCoreMO(n));var i=d.default.getForm(n);if(null!=i&&[0,0,1,1,0,1,1,0,0,0][i[2]])return[[r,e],!0]}var o=this.create(\"token\",\"mo\",{texClass:p.TEXCLASS.NONE},c.entities.ApplyFunction);return[[r,o,e],!0]}return t.prototype.checkItem.apply(this,arguments)},e}(y.BaseItem);r.FnItem=A;var S=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.remap=l.MapHandler.getMap(\"not_remap\"),e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"not\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){var e,r,n;if(t.isKind(\"open\")||t.isKind(\"left\"))return 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e=t.First;if(e.isKind(\"mstyle\")&&e.notParent&&(e=d.default.getChildren(d.default.getChildren(e)[0])[0]),e.isKind(\"mspace\")){if(e!==t.First){var r=this.create(\"node\",\"mrow\",[t.Pop()]);t.Push(r)}this.factory.configuration.addNode(\"nonscript\",t.First)}}return[[t],!0]},e}(y.BaseItem);r.NonscriptItem=K;var F=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"dots\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"open\")||t.isKind(\"left\"))return y.BaseItem.success;var e=this.getProperty(\"ldots\"),r=t.First;if(t.isKind(\"mml\")&&d.default.isEmbellished(r)){var n=d.default.getTexClass(d.default.getCoreMO(r));n!==p.TEXCLASS.BIN&&n!==p.TEXCLASS.REL||(e=this.getProperty(\"cdots\"))}return[[e,t],!0]},e}(y.BaseItem);r.DotsItem=F;var N=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return 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t=this.arraydef.scriptlevel;delete this.arraydef.scriptlevel;var e=this.create(\"node\",\"mtable\",this.table,this.arraydef);return t&&e.setProperty(\"scriptlevel\",t),4===this.frame.length?d.default.setAttribute(e,\"frame\",this.dashed?\"dashed\":\"solid\"):this.frame.length&&(this.arraydef.rowlines&&(this.arraydef.rowlines=this.arraydef.rowlines.replace(/none( none)+$/,\"none\")),d.default.setAttribute(e,\"frame\",\"\"),e=this.create(\"node\",\"menclose\",[e],{notation:this.frame.join(\" \")}),\"none\"===(this.arraydef.columnlines||\"none\")&&\"none\"===(this.arraydef.rowlines||\"none\")||d.default.setAttribute(e,\"data-padding\",0)),(this.getProperty(\"open\")||this.getProperty(\"close\"))&&(e=h.default.fenced(this.factory.configuration,this.getProperty(\"open\"),e,this.getProperty(\"close\"))),e},e.prototype.EndEntry=function(){var t=this.create(\"node\",\"mtd\",this.nodes);this.hfill.length&&(0===this.hfill[0]&&d.default.setAttribute(t,\"columnalign\",\"right\"),this.hfill[this.hfill.length-1]===this.Size()&&d.default.setAttribute(t,\"columnalign\",d.default.getAttribute(t,\"columnalign\")?\"center\":\"left\")),this.row.push(t),this.Clear(),this.hfill=[]},e.prototype.EndRow=function(){var t;this.getProperty(\"isNumbered\")&&3===this.row.length?(this.row.unshift(this.row.pop()),t=this.create(\"node\",\"mlabeledtr\",this.row)):t=this.create(\"node\",\"mtr\",this.row),this.table.push(t),this.row=[]},e.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},e.prototype.checkLines=function(){if(this.arraydef.rowlines){var t=this.arraydef.rowlines.split(/ /);t.length===this.table.length?(this.frame.push(\"bottom\"),t.pop(),this.arraydef.rowlines=t.join(\" \")):t.length<this.table.length-1&&(this.arraydef.rowlines+=\" 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s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"eqnarray\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.row.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create(\"node\",\"mtd\",this.nodes);this.row.push(t),this.Clear()},e.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t=\"mtr\",e=this.factory.configuration.tags.getTag();e&&(this.row=[e].concat(this.row),t=\"mlabeledtr\"),this.factory.configuration.tags.clearTag();var r=this.create(\"node\",t,this.row);this.table.push(r),this.row=[]},e.prototype.EndTable=function(){t.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray(\"columnalign\",this.maxrow),this.extendArray(\"columnwidth\",this.maxrow),this.extendArray(\"columnspacing\",this.maxrow-1)},e.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ 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e,r,a=this.adaptor,i=!1,o=a.kind(t).replace(/^.*:/,\"\"),l=a.getAttribute(t,\"data-mjx-texclass\")||\"\";l&&(l=this.filterAttribute(\"data-mjx-texclass\",l)||\"\");var c=l&&\"mrow\"===o?\"TeXAtom\":o;try{for(var h=s(this.filterClassList(a.allClasses(t))),d=h.next();!d.done;d=h.next()){var u=d.value;u.match(/^MJX-TeXAtom-/)?(l=u.substr(12),c=\"TeXAtom\"):\"MJX-fixedlimits\"===u&&(i=!0)}}catch(t){e={error:t}}finally{try{d&&!d.done&&(r=h.return)&&r.call(h)}finally{if(e)throw e.error}}this.factory.getNodeClass(c)||this.error('Unknown node type \"'+c+'\"');var p=this.factory.create(c);return\"TeXAtom\"!==c||\"OP\"!==l||i||(p.setProperty(\"movesupsub\",!0),p.attributes.setInherited(\"movablelimits\",!0)),l&&(p.texClass=n.TEXCLASS[l],p.setProperty(\"texClass\",p.texClass)),this.addAttributes(p,t),this.checkClass(p,t),this.addChildren(p,t),p},t.prototype.addAttributes=function(t,e){var r,a,i=!1;try{for(var o=s(this.adaptor.allAttributes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=l.name,h=this.filterAttribute(c,l.value);if(null!==h&&\"xmlns\"!==c)if(\"data-mjx-\"===c.substr(0,9))\"data-mjx-alternate\"===c?t.setProperty(\"variantForm\",!0):\"data-mjx-variant\"===c?(t.attributes.set(\"mathvariant\",h),i=!0):\"data-mjx-smallmatrix\"===c?(t.setProperty(\"scriptlevel\",1),t.setProperty(\"useHeight\",!1)):\"data-mjx-accent\"===c?t.setProperty(\"mathaccent\",\"true\"===h):\"data-mjx-auto-op\"===c&&t.setProperty(\"autoOP\",\"true\"===h);else if(\"class\"!==c){var d=h.toLowerCase();\"true\"===d||\"false\"===d?t.attributes.set(c,\"true\"===d):i&&\"mathvariant\"===c||t.attributes.set(c,h)}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}},t.prototype.filterAttribute=function(t,e){return e},t.prototype.filterClassList=function(t){return t},t.prototype.addChildren=function(t,e){var r,a;if(0!==t.arity){var i=this.adaptor;try{for(var o=s(i.childNodes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=i.kind(l);if(\"#comment\"!==c)if(\"#text\"===c)this.addText(t,l);else if(t.isKind(\"annotation-xml\"))t.appendChild(this.factory.create(\"XML\").setXML(l,i));else{var h=t.appendChild(this.makeNode(l));0===h.arity&&i.childNodes(l).length&&(this.options.fixMisplacedChildren?this.addChildren(t,l):h.mError(\"There should not be children for \"+h.kind+\" nodes\",this.options.verify,!0))}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}}},t.prototype.addText=function(t,e){var r=this.adaptor.value(e);(t.isToken||t.getProperty(\"isChars\"))&&t.arity?(t.isToken&&(r=c.translate(r),r=this.trimSpace(r)),t.appendChild(this.factory.create(\"text\").setText(r))):r.match(/\\S/)&&this.error('Unexpected text node \"'+r+'\"')},t.prototype.checkClass=function(t,e){var r,a,i=[];try{for(var o=s(this.filterClassList(this.adaptor.allClasses(e))),n=o.next();!n.done;n=o.next()){var l=n.value;\"MJX-\"===l.substr(0,4)?\"MJX-variant\"===l?t.setProperty(\"variantForm\",!0):\"MJX-TeXAtom\"!==l.substr(0,11)&&t.attributes.set(\"mathvariant\",this.fixCalligraphic(l.substr(3))):i.push(l)}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}i.length&&t.attributes.set(\"class\",i.join(\" \"))},t.prototype.fixCalligraphic=function(t){return t.replace(/caligraphic/,\"calligraphic\")},t.prototype.markMrows=function(t){if(t.isKind(\"mrow\")&&!t.isInferred&&t.childNodes.length>=2){var e=t.childNodes[0],r=t.childNodes[t.childNodes.length-1];e.isKind(\"mo\")&&e.attributes.get(\"fence\")&&e.attributes.get(\"stretchy\")&&r.isKind(\"mo\")&&r.attributes.get(\"fence\")&&r.attributes.get(\"stretchy\")&&(e.childNodes.length&&t.setProperty(\"open\",e.getText()),r.childNodes.length&&t.setProperty(\"close\",r.getText()))}},t.prototype.trimSpace=function(t){return t.replace(/[\\t\\n\\r]/g,\" \").replace(/^ +/,\"\").replace(/ +$/,\"\").replace(/  +/g,\" \")},t.prototype.error=function(t){throw new Error(t)},t.OPTIONS={MmlFactory:null,fixMisplacedChildren:!0,verify:o({},n.AbstractMmlNode.verifyDefaults),translateEntities:!0},t}();r.MathMLCompile=h},\n      561: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,i=1,o=arguments.length;i<o;i++)for(var n in e=arguments[i])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},a.apply(this,arguments)},h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,n,r=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=r.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(i=r.return)&&i.call(r)}finally{if(n)throw n.error}}return s};o();var c=t(562),l=t(566),p=t(657),f=t(709),u=t(526),d=t(556);i.SVGNS=\"http://www.w3.org/2000/svg\",i.XLINKNS=\"http://www.w3.org/1999/xlink\";var y=function(t){function e(e){void 0===e&&(e=null);var i=t.call(this,e,l.SVGWrapperFactory,p.TeXFont)||this;return i.minwidth=0,i.shift=0,i.container=null,i.svgStyles=null,i.fontCache=new f.FontCache(i),i}return s(e,t),e.prototype.initialize=function(){\"global\"===this.options.fontCache&&this.fontCache.clearCache()},e.prototype.clearFontCache=function(){this.fontCache.clearCache()},e.prototype.reset=function(){this.clearFontCache()},e.prototype.setScale=function(t){1!==this.options.scale&&this.adaptor.setStyle(t,\"fontSize\",d.percent(this.options.scale))},e.prototype.escaped=function(t,e){return this.setDocument(e),this.html(\"span\",{},[this.text(t.math)])},e.prototype.styleSheet=function(i){if(this.svgStyles)return this.svgStyles;var o=this.svgStyles=t.prototype.styleSheet.call(this,i);return this.adaptor.setAttribute(o,\"id\",e.STYLESHEETID),o},e.prototype.pageElements=function(t){return\"global\"!==this.options.fontCache||this.findCache(t)?null:this.svg(\"svg\",{id:e.FONTCACHEID,style:{display:\"none\"}},[this.fontCache.getCache()])},e.prototype.findCache=function(t){for(var i=this.adaptor,o=i.tags(i.body(t.document),\"svg\"),n=o.length-1;n>=0;n--)if(this.adaptor.getAttribute(o[n],\"id\")===e.FONTCACHEID)return!0;return!1},e.prototype.processMath=function(t,e){var i=this.container;this.container=e;var o=this.factory.wrap(t),n=h(this.createRoot(o),2),r=n[0],s=n[1];this.typesetSVG(o,r,s),this.container=i},e.prototype.createRoot=function(t){var e=t.getBBox(),o=e.w,n=e.h,r=e.d,s=e.pwidth,a=t.metrics.em/1e3,h=Math.max(o,a),c=Math.max(n+r,a),l=this.svg(\"g\",{stroke:\"currentColor\",fill:\"currentColor\",\"stroke-width\":0,transform:\"scale(1,-1)\"}),p=this.adaptor,f=p.append(this.container,this.svg(\"svg\",{xmlns:i.SVGNS,width:this.ex(h),height:this.ex(c),role:\"img\",focusable:!1,style:{\"vertical-align\":this.ex(-r)},viewBox:[0,this.fixed(1e3*-n,1),this.fixed(1e3*h,1),this.fixed(1e3*c,1)].join(\" \")},[l]));if(.001===h&&(p.setAttribute(f,\"preserveAspectRatio\",\"xMidYMid 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n=o.getAttribute(this.container,\"justify\")||\"center\";this.setIndent(e,n,this.shift)}},e.prototype.setIndent=function(t,e,i){\"center\"!==e&&\"left\"!==e||this.adaptor.setStyle(t,\"margin-left\",this.ex(i)),\"center\"!==e&&\"right\"!==e||this.adaptor.setStyle(t,\"margin-right\",this.ex(-i))},e.prototype.ex=function(t){return t/=this.font.params.x_height,Math.abs(t)<.001?\"0\":t.toFixed(3).replace(/\\.?0+$/,\"\")+\"ex\"},e.prototype.svg=function(t,e,o){return void 0===e&&(e={}),void 0===o&&(o=[]),this.html(t,e,o,i.SVGNS)},e.prototype.unknownText=function(t,e){var i=this.math.metrics,o=this.font.params.x_height/i.ex*i.em*1e3,n=this.svg(\"text\",{\"data-variant\":e,transform:\"scale(1,-1)\",\"font-size\":this.fixed(o,1)+\"px\"},[this.text(t)]),r=this.adaptor;if(\"-explicitFont\"!==e){var s=u.unicodeChars(t);if(1!==s.length||s[0]<119808||s[0]>120831){var a=h(this.font.getCssFont(e),3),c=a[0],l=a[1],p=a[2];r.setAttribute(n,\"font-family\",c),l&&r.setAttribute(n,\"font-style\",\"italic\"),p&&r.setAttribute(n,\"font-weight\",\"bold\")}}return n},e.prototype.measureTextNode=function(t){var e=this.adaptor;t=e.clone(t),e.removeAttribute(t,\"transform\");var i=this.fixed(1e3*this.font.params.x_height,1),o=this.svg(\"svg\",{position:\"absolute\",visibility:\"hidden\",width:\"1ex\",height:\"1ex\",viewBox:[0,0,i,i].join(\" \")},[t]);e.append(e.body(e.document),o);var n=e.nodeSize(t,1e3,!0)[0];return e.remove(o),{w:n,h:.75,d:.2}},e.NAME=\"SVG\",e.OPTIONS=a(a({},c.CommonOutputJax.OPTIONS),{internalSpeechTitles:!0,titleID:0,fontCache:\"local\",localID:null}),e.commonStyles={'mjx-container[jax=\"SVG\"]':{direction:\"ltr\"},'mjx-container[jax=\"SVG\"] > svg':{overflow:\"visible\",\"min-height\":\"1px\",\"min-width\":\"1px\"},'mjx-container[jax=\"SVG\"] > svg 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n,r,i=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(r)throw r.error}}return s},h=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,o=e&&t[e],n=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var c=t(563),p=t(527),y=t(522),u=t(556),d=t(564),f=t(565),m=function(t){function e(e,o,n){void 0===e&&(e=null),void 0===o&&(o=null),void 0===n&&(n=null);var r=this,i=l(y.separateOptions(e,n.OPTIONS),2),s=i[0],a=i[1];return(r=t.call(this,s)||this).factory=r.options.wrapperFactory||new o,r.factory.jax=r,r.cssStyles=r.options.cssStyles||new f.CssStyles,r.font=r.options.font||new n(a),r.unknownCache=new Map,r}return s(e,t),e.prototype.typeset=function(t,e){this.setDocument(e);var o=this.createNode();return this.toDOM(t,o,e),o},e.prototype.createNode=function(){var t=this.constructor.NAME;return this.html(\"mjx-container\",{class:\"MathJax\",jax:t})},e.prototype.setScale=function(t){var e=this.math.metrics.scale*this.options.scale;1!==e&&this.adaptor.setStyle(t,\"fontSize\",u.percent(e))},e.prototype.toDOM=function(t,e,o){void 0===o&&(o=null),this.setDocument(o),this.math=t,this.pxPerEm=t.metrics.ex/this.font.params.x_height,t.root.setTeXclass(null),this.setScale(e),this.nodeMap=new Map,this.container=e,this.processMath(t.root,e),this.nodeMap=null,this.executeFilters(this.postFilters,t,o,e)},e.prototype.getBBox=function(t,e){this.setDocument(e),this.math=t,t.root.setTeXclass(null),this.nodeMap=new Map;var o=this.factory.wrap(t.root).getBBox();return this.nodeMap=null,o},e.prototype.getMetrics=function(t){var e,o;this.setDocument(t);var n=this.adaptor,r=this.getMetricMaps(t);try{for(var i=h(t.math),s=i.next();!s.done;s=i.next()){var a=s.value,l=n.parent(a.start.node);if(a.state()<p.STATE.METRICS&&l){var c=r[a.display?1:0].get(l),y=c.em,u=c.ex,d=c.containerWidth,f=c.lineWidth,m=c.scale,x=c.family;a.setMetrics(y,u,d,f,m),this.options.mtextInheritFont&&(a.outputData.mtextFamily=x),this.options.merrorInheritFont&&(a.outputData.merrorFamily=x),a.state(p.STATE.METRICS)}}}catch(t){e={error:t}}finally{try{s&&!s.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}},e.prototype.getMetricsFor=function(t,e){var o=this.options.mtextInheritFont||this.options.merrorInheritFont,n=this.getTestElement(t,e),r=this.measureMetrics(n,o);return this.adaptor.remove(n),r},e.prototype.getMetricMaps=function(t){var e,o,n,r,i,s,a,l,c,y,u=this.adaptor,d=[new Map,new Map];try{for(var f=h(t.math),m=f.next();!m.done;m=f.next()){var x=m.value;if((C=u.parent(x.start.node))&&x.state()<p.STATE.METRICS){var v=d[x.display?1:0];v.has(C)||v.set(C,this.getTestElement(C,x.display))}}}catch(t){e={error:t}}finally{try{m&&!m.done&&(o=f.return)&&o.call(f)}finally{if(e)throw e.error}}var S=this.options.mtextInheritFont||this.options.merrorInheritFont,g=[new Map,new Map];try{for(var w=h(g.keys()),b=w.next();!b.done;b=w.next()){var M=b.value;try{for(var F=(i=void 0,h(d[M].keys())),T=F.next();!T.done;T=F.next()){var C=T.value;g[M].set(C,this.measureMetrics(d[M].get(C),S))}}catch(t){i={error:t}}finally{try{T&&!T.done&&(s=F.return)&&s.call(F)}finally{if(i)throw i.error}}}}catch(t){n={error:t}}finally{try{b&&!b.done&&(r=w.return)&&r.call(w)}finally{if(n)throw n.error}}try{for(var O=h(g.keys()),I=O.next();!I.done;I=O.next()){M=I.value;try{for(var _=(c=void 0,h(d[M].values())),j=_.next();!j.done;j=_.next()){C=j.value;u.remove(C)}}catch(t){c={error:t}}finally{try{j&&!j.done&&(y=_.return)&&y.call(_)}finally{if(c)throw c.error}}}}catch(t){a={error:t}}finally{try{I&&!I.done&&(l=O.return)&&l.call(O)}finally{if(a)throw a.error}}return g},e.prototype.getTestElement=function(t,e){var o=this.adaptor;if(!this.testInline){this.testInline=this.html(\"mjx-test\",{style:{display:\"inline-block\",width:\"100%\",\"font-style\":\"normal\",\"font-weight\":\"normal\",\"font-size\":\"100%\",\"font-size-adjust\":\"none\",\"text-indent\":0,\"text-transform\":\"none\",\"letter-spacing\":\"normal\",\"word-spacing\":\"normal\",overflow:\"hidden\",height:\"1px\",\"margin-right\":\"-1px\"}},[this.html(\"mjx-left-box\",{style:{display:\"inline-block\",width:0,float:\"left\"}}),this.html(\"mjx-ex-box\",{style:{position:\"absolute\",overflow:\"hidden\",width:\"1px\",height:\"60ex\"}}),this.html(\"mjx-right-box\",{style:{display:\"inline-block\",width:0,float:\"right\"}})]),this.testDisplay=o.clone(this.testInline),o.setStyle(this.testDisplay,\"display\",\"table\"),o.setStyle(this.testDisplay,\"margin-right\",\"\"),o.setStyle(o.firstChild(this.testDisplay),\"display\",\"none\");var n=o.lastChild(this.testDisplay);o.setStyle(n,\"display\",\"table-cell\"),o.setStyle(n,\"width\",\"10000em\"),o.setStyle(n,\"float\",\"\")}return o.append(t,o.clone(e?this.testDisplay:this.testInline))},e.prototype.measureMetrics=function(t,e){var o=this.adaptor,n=e?o.fontFamily(t):\"\",r=o.fontSize(t),i=l(o.nodeSize(o.childNode(t,1)),2),s=i[0],a=i[1],h=s?a/60:r*this.options.exFactor;return{em:r,ex:h,containerWidth:s?\"table\"===o.getStyle(t,\"display\")?o.nodeSize(o.lastChild(t))[0]-1:o.nodeBBox(o.lastChild(t)).left-o.nodeBBox(o.firstChild(t)).left-2:1e6,lineWidth:1e6,scale:Math.max(this.options.minScale,this.options.matchFontHeight?h/this.font.params.x_height/r:1),family:n}},e.prototype.styleSheet=function(t){var e,o;if(this.setDocument(t),this.cssStyles.clear(),this.cssStyles.addStyles(this.constructor.commonStyles),\"getStyles\"in t)try{for(var n=h(t.getStyles()),r=n.next();!r.done;r=n.next()){var 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f=t(573),l=t(526),y=t(574);r.DirectionVH=((s={})[1]=\"v\",s[2]=\"h\",s),r.CommonMoMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var i=t.apply(this,u([],c(e)))||this;return i.size=null,i.isAccent=i.node.isAccent,i}return a(e,t),e.prototype.computeBBox=function(t,e){if(void 0===e&&(e=!1),this.protoBBox(t),this.node.attributes.get(\"symmetric\")&&2!==this.stretch.dir){var r=this.getCenterOffset(t);t.h+=r,t.d-=r}this.node.getProperty(\"mathaccent\")&&(0===this.stretch.dir||this.size>=0)&&(t.w=0)},e.prototype.protoBBox=function(e){var r=0!==this.stretch.dir;r&&null===this.size&&this.getStretchedVariant([0]),r&&this.size<0||(t.prototype.computeBBox.call(this,e),this.copySkewIC(e))},e.prototype.getAccentOffset=function(){var t=f.BBox.empty();return this.protoBBox(t),-t.w/2},e.prototype.getCenterOffset=function(e){return void 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i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r(),o.CommonMnMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return c(n,t),n.prototype.remapChars=function(t){if(t.length){var n=this.font.getRemappedChar(\"mn\",t[0]);if(n){var o=this.unicodeChars(n,this.variant);1===o.length?t[0]=o[0]:t=o.concat(t.slice(1))}}return t},n}(t)}},\n      588: function _(t,n,r,o,e){var i,c=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in 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i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});r();var c=t(570),u=t(590),s=t(591),f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return p(n,t),n.kind=s.MmlMs.prototype.kind,n}(u.CommonMsMixin(c.SVGWrapper));o.SVGms=f},\n      590: function _(t,r,e,o,n){var i,u=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value 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n=t.apply(this,l([],a(e)))||this;if(n.bevel=null,n.pad=n.node.getProperty(\"withDelims\")?0:n.font.params.nulldelimiterspace,n.node.attributes.get(\"bevelled\")){var i=n.getBevelData(n.isDisplay()).H,r=n.bevel=n.createMo(\"/\");r.node.attributes.set(\"symmetric\",!0),r.canStretch(1),r.getStretchedVariant([i],!0)}return n}return s(e,t),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.empty();var o=this.node.attributes.getList(\"linethickness\",\"bevelled\"),n=o.linethickness,i=o.bevelled,r=this.isDisplay(),s=null;if(i)this.getBevelledBBox(t,r);else{var a=this.length2em(String(n),.06);s=-2*this.pad,0===a?this.getAtopBBox(t,r):(this.getFractionBBox(t,r,a),s-=.2),s+=t.w}t.clean(),this.setChildPWidths(e,s)},e.prototype.getFractionBBox=function(t,e,o){var n=this.childNodes[0].getBBox(),i=this.childNodes[1].getBBox(),r=this.font.params.axis_height,s=this.getTUV(e,o),a=s.T,l=s.u,h=s.v;t.combine(n,0,r+a+Math.max(n.d*n.rscale,l)),t.combine(i,0,r-a-Math.max(i.h*i.rscale,h)),t.w+=2*this.pad+.2},e.prototype.getTUV=function(t,e){var o=this.font.params,n=o.axis_height,i=(t?3.5:1.5)*e;return{T:(t?3.5:1.5)*e,u:(t?o.num1:o.num2)-n-i,v:(t?o.denom1:o.denom2)+n-i}},e.prototype.getAtopBBox=function(t,e){var o=this.getUVQ(e),n=o.u,i=o.v,r=o.nbox,s=o.dbox;t.combine(r,0,n),t.combine(s,0,-i),t.w+=2*this.pad},e.prototype.getUVQ=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=this.font.params,i=a(t?[n.num1,n.denom1]:[n.num3,n.denom2],2),r=i[0],s=i[1],l=(t?7:3)*n.rule_thickness,h=r-e.d*e.scale-(o.h*o.scale-s);return h<l&&(r+=(l-h)/2,s+=(l-h)/2,h=l),{u:r,v:s,q:h,nbox:e,dbox:o}},e.prototype.getBevelledBBox=function(t,e){var o=this.getBevelData(e),n=o.u,i=o.v,r=o.delta,s=o.nbox,a=o.dbox,l=this.bevel.getBBox();t.combine(s,0,n),t.combine(l,t.w-r/2,0),t.combine(a,t.w-r/2,i)},e.prototype.getBevelData=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=t?.4:.15,i=Math.max(e.scale*(e.h+e.d),o.scale*(o.h+o.d))+2*n,r=this.font.params.axis_height;return{H:i,delta:n,u:e.scale*(e.d-e.h)/2+r+n,v:o.scale*(o.d-o.h)/2+r-n,nbox:e,dbox:o}},e.prototype.canStretch=function(t){return!1},e.prototype.isDisplay=function(){var t=this.node.attributes.getList(\"displaystyle\",\"scriptlevel\"),e=t.displaystyle,o=t.scriptlevel;return e&&0===o},e.prototype.getWrapWidth=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?this.childNodes[t].getBBox().w:this.getBBox().w-(this.length2em(e.get(\"linethickness\"))?.2:0)-2*this.pad},e.prototype.getChildAlign=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?\"left\":e.get([\"numalign\",\"denomalign\"][t])},e}(t)}},\n      607: function _(t,e,r,n,o){var i,l=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},u=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var a=t(529),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfrac\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=u(this.childNodes),o=n.next();!o.done;o=n.next()){o.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){(!e||r>0)&&r++,this.childNodes[0].setInheritedAttributes(t,!1,r,n),this.childNodes[1].setInheritedAttributes(t,!1,r,!0)},e.defaults=s(s({},a.AbstractMmlBaseNode.defaults),{linethickness:\"medium\",numalign:\"center\",denomalign:\"center\",bevelled:!1}),e}(a.AbstractMmlBaseNode);r.MmlMfrac=c},\n      608: function _(t,o,i,s,n){var e,r=this&&this.__extends||(e=function(t,o){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var i in o)Object.prototype.hasOwnProperty.call(o,i)&&(t[i]=o[i])},e(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function i(){this.constructor=t}e(t,o),t.prototype=null===o?Object.create(o):(i.prototype=o.prototype,new i)});s();var h=t(570),p=t(609),a=t(610),d=function(t){function o(){var o=null!==t&&t.apply(this,arguments)||this;return o.dx=0,o}return r(o,t),o.prototype.toSVG=function(t){var o=this.childNodes[this.surd],i=this.childNodes[this.base],s=this.root?this.childNodes[this.root]:null,n=this.getBBox(),e=o.getBBox(),r=i.getBBox(),h=this.getPQ(e)[1],p=this.font.params.rule_thickness*this.bbox.scale,a=r.h+h+p,d=this.standardSVGnode(t),c=this.adaptor.append(d,this.svg(\"g\"));this.addRoot(d,s,e,a),o.toSVG(d),o.place(this.dx,n.h-e.h-p),i.toSVG(c),i.place(this.dx+e.w,0),this.adaptor.append(d,this.svg(\"rect\",{width:this.fixed(r.w),height:this.fixed(p),x:this.fixed(this.dx+e.w),y:this.fixed(n.h-2*p)}))},o.prototype.addRoot=function(t,o,i,s){},o.kind=a.MmlMsqrt.prototype.kind,o}(p.CommonMsqrtMixin(h.SVGWrapper));i.SVGmsqrt=d},\n      609: function _(t,e,r,o,n){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return s},a=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var c=t(573);r.CommonMsqrtMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,a([],u(e)))||this,n=o.createMo(\"\\u221a\");n.canStretch(1);var i=o.childNodes[o.base].getBBox(),s=i.h,c=i.d,h=o.font.params.rule_thickness,p=o.node.attributes.get(\"displaystyle\")?o.font.params.x_height:h;return o.surdH=s+c+2*h+p/4,n.getStretchedVariant([o.surdH-c,c],!0),o}return s(e,t),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"surd\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return null},enumerable:!1,configurable:!0}),e.prototype.createMo=function(e){var r=t.prototype.createMo.call(this,e);return this.childNodes.push(r),r},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r=this.childNodes[this.surd].getBBox(),o=new c.BBox(this.childNodes[this.base].getBBox()),n=this.getPQ(r)[1],i=this.font.params.rule_thickness,s=o.h+n+i,a=u(this.getRootDimens(r,s),1)[0];t.h=s+i,this.combineRootBBox(t,r,s),t.combine(r,a,s-r.h),t.combine(o,a+r.w,0),t.clean(),this.setChildPWidths(e)},e.prototype.combineRootBBox=function(t,e,r){},e.prototype.getPQ=function(t){var e=this.font.params.rule_thickness,r=this.node.attributes.get(\"displaystyle\")?this.font.params.x_height:e;return[r,t.h+t.d>this.surdH?(t.h+t.d-(this.surdH-2*e-r/2))/2:e+r/4]},e.prototype.getRootDimens=function(t,e){return[0,0,0,0]},e}(t)}},\n      610: function _(t,e,r,n,o){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__assign||function(){return u=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},u.apply(this,arguments)};n();var c=t(529),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.ORD,e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msqrt\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0)},e.defaults=u({},c.AbstractMmlNode.defaults),e}(c.AbstractMmlNode);r.MmlMsqrt=l},\n      611: function _(t,o,r,n,e){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var r in o)Object.prototype.hasOwnProperty.call(o,r)&&(t[r]=o[r])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(r.prototype=o.prototype,new r)}),l=this&&this.__read||function(t,o){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,e,i=r.call(t),c=[];try{for(;(void 0===o||o-- >0)&&!(n=i.next()).done;)c.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(e)throw e.error}}return c};n();var u=t(608),a=t(612),f=t(613),p=function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),o.prototype.addRoot=function(t,o,r,n){o.toSVG(t);var e=l(this.getRootDimens(r,n),3),i=e[0],c=e[1],u=e[2],a=o.getBBox();o.place(u*a.rscale,c),this.dx=i},o.kind=f.MmlMroot.prototype.kind,o}(a.CommonMrootMixin(u.SVGmsqrt));r.SVGmroot=p},\n      612: function _(t,o,e,r,n){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var e in o)Object.prototype.hasOwnProperty.call(o,e)&&(t[e]=o[e])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(e.prototype=o.prototype,new e)});r(),e.CommonMrootMixin=function(t){return function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),Object.defineProperty(o.prototype,\"surd\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(o.prototype,\"root\",{get:function(){return 1},enumerable:!1,configurable:!0}),o.prototype.combineRootBBox=function(t,o,e){var r=this.childNodes[this.root].getBBox(),n=this.getRootDimens(o,e)[1];t.combine(r,0,n)},o.prototype.getRootDimens=function(t,o){var e=this.childNodes[this.surd],r=this.childNodes[this.root].getBBox(),n=(e.size<0?.5:.6)*t.w,i=r.w,c=r.rscale,u=Math.max(i,n/c),s=Math.max(0,u-i);return[u*c-n,this.rootHeight(r,t,e.size,o),s]},o.prototype.rootHeight=function(t,o,e,r){var n=o.h+o.d;return(e<0?1.9:.55*n)-(n-r)+Math.max(0,t.d*t.rscale)},o}(t)}},\n      613: function _(t,e,r,n,o){var s,i=this&&this.__extends||(s=function(t,e){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},s(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}s(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},c.apply(this,arguments)};n();var u=t(529),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mroot\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this.childNodes[1].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0),this.childNodes[1].setInheritedAttributes(t,!1,r+2,n)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMroot=l},\n      614: function _(t,n,r,e,o){var i,l=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(t[r]=n[r])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a 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o=0,e=r.length,n=t.length;o<e;o++,n++)t[n]=r[o];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,o=r&&t[r],e=0;if(o)return o.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e(),o.CommonMfencedMixin=function(t){return function(t){function r(){for(var r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];var e=t.apply(this,h([],a(r)))||this;return e.mrow=null,e.createMrow(),e.addMrowChildren(),e}return s(r,t),r.prototype.createMrow=function(){var t=this.node.factory.create(\"inferredMrow\");t.inheritAttributesFrom(this.node),this.mrow=this.wrap(t),this.mrow.parent=this},r.prototype.addMrowChildren=function(){var t,r,o=this.node,e=this.mrow;this.addMo(o.open),this.childNodes.length&&e.childNodes.push(this.childNodes[0]);var n=0;try{for(var i=l(this.childNodes.slice(1)),s=i.next();!s.done;s=i.next()){var a=s.value;this.addMo(o.separators[n++]),e.childNodes.push(a)}}catch(r){t={error:r}}finally{try{s&&!s.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}this.addMo(o.close),e.stretchChildren()},r.prototype.addMo=function(t){if(t){var r=this.wrap(t);this.mrow.childNodes.push(r),r.parent=this.mrow}},r.prototype.computeBBox=function(t,r){void 0===r&&(r=!1),t.updateFrom(this.mrow.getBBox()),this.setChildPWidths(r)},r}(t)}},\n      616: function _(t,e,r,o,s){var n,i=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var s in e=arguments[r])Object.prototype.hasOwnProperty.call(e,s)&&(t[s]=e[s]);return t},a.apply(this,arguments)},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],o=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var c=t(529),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.INNER,e.separators=[],e.open=null,e.close=null,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfenced\"},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){this.getPrevClass(t),this.open&&(t=this.open.setTeXclass(t)),this.childNodes[0]&&(t=this.childNodes[0].setTeXclass(t));for(var e=1,r=this.childNodes.length;e<r;e++)this.separators[e-1]&&(t=this.separators[e-1].setTeXclass(t)),this.childNodes[e]&&(t=this.childNodes[e].setTeXclass(t));return this.close&&(t=this.close.setTeXclass(t)),this.updateTeXclass(this.open),t},e.prototype.setChildInheritedAttributes=function(e,r,o,s){var n,i;this.addFakeNodes();try{for(var a=l([this.open,this.close].concat(this.separators)),c=a.next();!c.done;c=a.next()){var h=c.value;h&&h.setInheritedAttributes(e,r,o,s)}}catch(t){n={error:t}}finally{try{c&&!c.done&&(i=a.return)&&i.call(a)}finally{if(n)throw n.error}}t.prototype.setChildInheritedAttributes.call(this,e,r,o,s)},e.prototype.addFakeNodes=function(){var t,e,r=this.attributes.getList(\"open\",\"close\",\"separators\"),o=r.open,s=r.close,n=r.separators;if(o=o.replace(/[ \\t\\n\\r]/g,\"\"),s=s.replace(/[ \\t\\n\\r]/g,\"\"),n=n.replace(/[ \\t\\n\\r]/g,\"\"),o&&(this.open=this.fakeNode(o,{fence:!0,form:\"prefix\"},c.TEXCLASS.OPEN)),n){for(;n.length<this.childNodes.length-1;)n+=n.charAt(n.length-1);var i=0;try{for(var a=l(this.childNodes.slice(1)),h=a.next();!h.done;h=a.next()){h.value&&this.separators.push(this.fakeNode(n.charAt(i++)))}}catch(e){t={error:e}}finally{try{h&&!h.done&&(e=a.return)&&e.call(a)}finally{if(t)throw t.error}}}s&&(this.close=this.fakeNode(s,{fence:!0,form:\"postfix\"},c.TEXCLASS.CLOSE))},e.prototype.fakeNode=function(t,e,r){void 0===e&&(e={}),void 0===r&&(r=null);var o=this.factory.create(\"text\").setText(t),s=this.factory.create(\"mo\",e,[o]);return s.texClass=r,s.parent=this,s},e.defaults=a(a({},c.AbstractMmlNode.defaults),{open:\"(\",close:\")\",separators:\",\"}),e}(c.AbstractMmlNode);r.MmlMfenced=h},\n      617: function _(t,n,o,r,i){var e,s=this&&this.__extends||(e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},e(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)}),u=this&&this.__read||function(t,n){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var r,i,e=o.call(t),s=[];try{for(;(void 0===n||n-- >0)&&!(r=e.next()).done;)s.push(r.value)}catch(t){i={error:t}}finally{try{r&&!r.done&&(o=e.return)&&o.call(e)}finally{if(i)throw i.error}}return s};r();var p=t(618),l=t(620),a=t(620),c=t(620),f=t(621),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsub.prototype.kind,n}(l.CommonMsubMixin(p.SVGscriptbase));o.SVGmsub=h;var y=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsup.prototype.kind,n}(a.CommonMsupMixin(p.SVGscriptbase));o.SVGmsup=y;var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t),o=u([this.baseChild,this.supChild,this.subChild],3),r=o[0],i=o[1],e=o[2],s=this.getBaseWidth(),p=this.getAdjustedIc(),l=u(this.getUVQ(),2),a=l[0],c=l[1];r.toSVG(n),i.toSVG(n),e.toSVG(n),e.place(s,c),i.place(s+p,a)},n.kind=f.MmlMsubsup.prototype.kind,n}(c.CommonMsubsupMixin(p.SVGscriptbase));o.SVGmsubsup=d},\n      618: function _(t,r,o,n,e){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),a=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,e,i=o.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}return s};n();var c=t(570),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),o=this.getBaseWidth(),n=a(this.getOffset(),2),e=n[0],i=n[1];this.baseChild.toSVG(r),this.scriptChild.toSVG(r),this.scriptChild.place(o+e,i)},r.kind=\"scriptbase\",r}(t(619).CommonScriptbaseMixin(c.SVGWrapper));o.SVGscriptbase=l},\n      619: function _(e,t,r,i,n){var s,o=this&&this.__extends||(s=function(e,t){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},s(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}s(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var i,n,s=r.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(i=s.next()).done;)o.push(i.value)}catch(e){n={error:e}}finally{try{i&&!i.done&&(r=s.return)&&r.call(s)}finally{if(n)throw n.error}}return o},c=this&&this.__spreadArray||function(e,t){for(var r=0,i=t.length,n=e.length;r<i;r++,n++)e[n]=t[r];return e},h=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],i=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&i>=e.length&&(e=void 0),{value:e&&e[i++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i(),r.CommonScriptbaseMixin=function(e){var t;return t=function(e){function t(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var i=e.apply(this,c([],a(t)))||this;i.baseScale=1,i.baseIc=0,i.baseRemoveIc=!1,i.baseIsChar=!1,i.baseHasAccentOver=null,i.baseHasAccentUnder=null,i.isLineAbove=!1,i.isLineBelow=!1,i.isMathAccent=!1;var n=i.baseCore=i.getBaseCore();return n?(i.setBaseAccentsFor(n),i.baseScale=i.getBaseScale(),i.baseIc=i.getBaseIc(),i.baseIsChar=i.isCharBase(),i.isMathAccent=i.baseIsChar&&i.scriptChild&&!!i.scriptChild.coreMO().node.getProperty(\"mathaccent\"),i.checkLineAccents(),i.baseRemoveIc=!i.isLineAbove&&!i.isLineBelow&&(!i.constructor.useIC||i.isMathAccent),i):i}return o(t,e),Object.defineProperty(t.prototype,\"baseChild\",{get:function(){return this.childNodes[this.node.base]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"scriptChild\",{get:function(){return this.childNodes[1]},enumerable:!1,configurable:!0}),t.prototype.getBaseCore=function(){for(var e=this.getSemanticBase()||this.childNodes[0];e&&(1===e.childNodes.length&&(e.node.isKind(\"mrow\")||e.node.isKind(\"TeXAtom\")||e.node.isKind(\"mstyle\")||e.node.isKind(\"mpadded\")||e.node.isKind(\"mphantom\")||e.node.isKind(\"semantics\"))||e.node.isKind(\"munderover\")&&e.isMathAccent);)this.setBaseAccentsFor(e),e=e.childNodes[0];return e||(this.baseHasAccentOver=this.baseHasAccentUnder=!1),e||this.childNodes[0]},t.prototype.setBaseAccentsFor=function(e){e.node.isKind(\"munderover\")&&(null===this.baseHasAccentOver&&(this.baseHasAccentOver=!!e.node.attributes.get(\"accent\")),null===this.baseHasAccentUnder&&(this.baseHasAccentUnder=!!e.node.attributes.get(\"accentunder\")))},t.prototype.getSemanticBase=function(){var e=this.node.attributes.getExplicit(\"data-semantic-fencepointer\");return this.getBaseFence(this.baseChild,e)},t.prototype.getBaseFence=function(e,t){var r,i;if(!e||!e.node.attributes||!t)return null;if(e.node.attributes.getExplicit(\"data-semantic-id\")===t)return e;try{for(var n=h(e.childNodes),s=n.next();!s.done;s=n.next()){var o=s.value,a=this.getBaseFence(o,t);if(a)return a}}catch(e){r={error:e}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return null},t.prototype.getBaseScale=function(){for(var e=this.baseCore,t=1;e&&e!==this;){t*=e.getBBox().rscale,e=e.parent}return t},t.prototype.getBaseIc=function(){return this.baseCore.getBBox().ic*this.baseScale},t.prototype.getAdjustedIc=function(){var e=this.baseCore.getBBox();return(e.ic?1.05*e.ic+.05:0)*this.baseScale},t.prototype.isCharBase=function(){var e=this.baseCore;return(e.node.isKind(\"mo\")&&null===e.size||e.node.isKind(\"mi\")||e.node.isKind(\"mn\"))&&1===e.bbox.rscale&&1===Array.from(e.getText()).length},t.prototype.checkLineAccents=function(){if(this.node.isKind(\"munderover\"))if(this.node.isKind(\"mover\"))this.isLineAbove=this.isLineAccent(this.scriptChild);else if(this.node.isKind(\"munder\"))this.isLineBelow=this.isLineAccent(this.scriptChild);else{this.isLineAbove=this.isLineAccent(this.overChild),this.isLineBelow=this.isLineAccent(this.underChild)}},t.prototype.isLineAccent=function(e){var t=e.coreMO().node;return t.isToken&&\"\\u2015\"===t.getText()},t.prototype.getBaseWidth=function(){var e=this.baseChild.getBBox();return e.w*e.rscale-(this.baseRemoveIc?this.baseIc:0)+this.font.params.extra_ic},t.prototype.computeBBox=function(e,t){void 0===t&&(t=!1);var r=this.getBaseWidth(),i=a(this.getOffset(),2),n=i[0],s=i[1];e.append(this.baseChild.getBBox()),e.combine(this.scriptChild.getBBox(),r+n,s),e.w+=this.font.params.scriptspace,e.clean(),this.setChildPWidths(t)},t.prototype.getOffset=function(){return[0,0]},t.prototype.baseCharZero=function(e){var t=!!this.baseCore.node.attributes.get(\"largeop\"),r=this.baseScale;return this.baseIsChar&&!t&&1===r?0:e},t.prototype.getV=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub1);return Math.max(this.baseCharZero(e.d*this.baseScale+r.sub_drop*t.rscale),i,t.h*t.rscale-.8*r.x_height)},t.prototype.getU=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.node.attributes.getList(\"displaystyle\",\"superscriptshift\"),n=this.node.getProperty(\"texprimestyle\")?r.sup3:i.displaystyle?r.sup1:r.sup2,s=this.length2em(i.superscriptshift,n);return Math.max(this.baseCharZero(e.h*this.baseScale-r.sup_drop*t.rscale),s,t.d*t.rscale+1/4*r.x_height)},t.prototype.hasMovableLimits=function(){var e=this.node.attributes.get(\"displaystyle\"),t=this.baseChild.coreMO().node;return!e&&!!t.attributes.get(\"movablelimits\")},t.prototype.getOverKU=function(e,t){var r=this.node.attributes.get(\"accent\"),i=this.font.params,n=t.d*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentOver?s:0,a=this.isLineAbove?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing1,i.big_op_spacing3-Math.max(0,n)))-o;return[c,e.h*e.rscale+c+n]},t.prototype.getUnderKV=function(e,t){var r=this.node.attributes.get(\"accentunder\"),i=this.font.params,n=t.h*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentUnder?s:0,a=this.isLineBelow?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing2,i.big_op_spacing4-n))-o;return[c,-(e.d*e.rscale+c+n)]},t.prototype.getDeltaW=function(e,t){var r,i,n,s;void 0===t&&(t=[0,0,0]);var o=this.node.attributes.get(\"align\"),l=e.map((function(e){return e.w*e.rscale}));l[0]-=this.baseRemoveIc&&!this.baseCore.node.attributes.get(\"largeop\")?this.baseIc:0;var u=Math.max.apply(Math,c([],a(l))),d=[],p=0;try{for(var f=h(l.keys()),b=f.next();!b.done;b=f.next()){var y=b.value;d[y]=(\"center\"===o?(u-l[y])/2:\"right\"===o?u-l[y]:0)+t[y],d[y]<p&&(p=-d[y])}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}if(p)try{for(var g=h(d.keys()),v=g.next();!v.done;v=g.next()){y=v.value;d[y]+=p}}catch(e){n={error:e}}finally{try{v&&!v.done&&(s=g.return)&&s.call(g)}finally{if(n)throw n.error}}return[1,2].map((function(t){return d[t]+=e[t]?e[t].dx*e[0].scale:0})),d},t.prototype.getDelta=function(e){void 0===e&&(e=!1);var t=this.node.attributes.get(\"accent\"),r=this.baseCore.getBBox(),i=r.sk,n=r.ic;return((t&&!e?i:0)+this.font.skewIcFactor*n)*this.baseScale},t.prototype.stretchChildren=function(){var e,t,r,i,n,s,o=[];try{for(var a=h(this.childNodes),c=a.next();!c.done;c=a.next()){(C=c.value).canStretch(2)&&o.push(C)}}catch(t){e={error:t}}finally{try{c&&!c.done&&(t=a.return)&&t.call(a)}finally{if(e)throw e.error}}var l=o.length,u=this.childNodes.length;if(l&&u>1){var d=0,p=l>1&&l===u;try{for(var f=h(this.childNodes),b=f.next();!b.done;b=f.next()){var y=0===(C=b.value).stretch.dir;if(p||y){var g=C.getBBox(y),v=g.w,m=g.rscale;v*m>d&&(d=v*m)}}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}try{for(var B=h(o),x=B.next();!x.done;x=B.next()){var C;(C=x.value).coreMO().getStretchedVariant([d/C.bbox.rscale])}}catch(e){n={error:e}}finally{try{x&&!x.done&&(s=B.return)&&s.call(B)}finally{if(n)throw n.error}}}},t}(e),t.useIC=!0,t}},\n      620: function _(t,e,i,r,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),u=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,n,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(r=o.next()).done;)s.push(r.value)}catch(t){n={error:t}}finally{try{r&&!r.done&&(i=o.return)&&i.call(o)}finally{if(n)throw n.error}}return s};r(),i.CommonMsubMixin=function(t){var e;return e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[0,-this.getV()]},e}(t),e.useIC=!1,e},i.CommonMsupMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[this.getAdjustedIc()-(this.baseRemoveIc?0:this.baseIc),this.getU()]},e}(t)},i.CommonMsubsupMixin=function(t){var e;return e=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.UVQ=null,e}return s(e,t),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i=this.baseChild.getBBox(),r=u([this.subChild.getBBox(),this.supChild.getBBox()],2),n=r[0],o=r[1];t.empty(),t.append(i);var s=this.getBaseWidth(),h=this.getAdjustedIc(),c=u(this.getUVQ(),2),a=c[0],l=c[1];t.combine(n,s,l),t.combine(o,s+h,a),t.w+=this.font.params.scriptspace,t.clean(),this.setChildPWidths(e)},e.prototype.getUVQ=function(t,e){void 0===t&&(t=this.subChild.getBBox()),void 0===e&&(e=this.supChild.getBBox());var i=this.baseCore.getBBox();if(this.UVQ)return this.UVQ;var r=this.font.params,n=3*r.rule_thickness,o=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub2),s=this.baseCharZero(i.d*this.baseScale+r.sub_drop*t.rscale),h=u([this.getU(),Math.max(s,o)],2),c=h[0],a=h[1],l=c-e.d*e.rscale-(t.h*t.rscale-a);if(l<n){a+=n-l;var p=.8*r.x_height-(c-e.d*e.rscale);p>0&&(c+=p,a-=p)}return c=Math.max(this.length2em(this.node.attributes.get(\"superscriptshift\"),c),c),a=Math.max(this.length2em(this.node.attributes.get(\"subscriptshift\"),a),a),l=c-e.d*e.rscale-(t.h*t.rscale-a),this.UVQ=[c,-a,l],this.UVQ},e}(t),e.useIC=!1,e}},\n      621: function _(t,e,r,n,o){var u,i=this&&this.__extends||(u=function(t,e){return u=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},u(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}u(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};n();var p=t(529),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msubsup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,n){var o=this.childNodes;o[0].setInheritedAttributes(t,e,r,n),o[1].setInheritedAttributes(t,!1,r+1,n||1===this.sub),o[2]&&o[2].setInheritedAttributes(t,!1,r+1,n||2===this.sub)},e.defaults=s(s({},p.AbstractMmlBaseNode.defaults),{subscriptshift:\"\",superscriptshift:\"\"}),e}(p.AbstractMmlBaseNode);r.MmlMsubsup=c;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msub\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsub=f;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsup=a},\n      622: function _(t,e,o,i,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),l=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var i,r,n=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(i=n.next()).done;)s.push(i.value)}catch(t){r={error:t}}finally{try{i&&!i.done&&(o=n.return)&&o.call(n)}finally{if(r)throw r.error}}return s};i();var a=t(617),h=t(623),p=t(623),u=t(623),c=t(624),d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineBelow?0:this.getDelta(!0),u=this.getUnderKV(a,h)[1],c=l(this.getDeltaW([a,h],[0,-p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMunder.prototype.kind,e}(h.CommonMunderMixin(a.SVGmsub));o.SVGmunder=d;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineAbove?0:this.getDelta(),u=this.getOverKU(a,h)[1],c=l(this.getDeltaW([a,h],[0,p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMover.prototype.kind,e}(p.CommonMoverMixin(a.SVGmsup));o.SVGmover=f;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.overChild,this.underChild],3),r=i[0],n=i[1],s=i[2],a=l([r.getBBox(),n.getBBox(),s.getBBox()],3),h=a[0],p=a[1],u=a[2];r.toSVG(o),s.toSVG(o),n.toSVG(o);var c=this.getDelta(),d=this.getOverKU(h,p)[1],f=this.getUnderKV(h,u)[1],v=l(this.getDeltaW([h,u,p],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),y=v[0],S=v[1],V=v[2];r.place(y,0),s.place(S,f),n.place(V,d)}},e.kind=c.MmlMunderover.prototype.kind,e}(u.CommonMunderoverMixin(a.SVGmsubsup));o.SVGmunderover=v},\n      623: function _(t,e,i,o,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,r,n=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){r={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return s},c=this&&this.__spreadArray||function(t,e){for(var i=0,o=e.length,r=t.length;i<o;i++,r++)t[r]=e[i];return t};o(),i.CommonMunderMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e,i){if(void 0===i&&(i=!1),this.hasMovableLimits())t.prototype.computeBBox.call(this,e,i);else{e.empty();var o=this.baseChild.getBBox(),r=this.scriptChild.getBBox(),n=this.getUnderKV(o,r)[1],s=this.isLineBelow?0:this.getDelta(!0),c=h(this.getDeltaW([o,r],[0,-s]),2),l=c[0],u=c[1];e.combine(o,l,0),e.combine(r,u,n),e.d+=this.font.params.big_op_spacing5,e.clean(),this.setChildPWidths(i)}},e}(t)},i.CommonMoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.baseChild.getBBox(),o=this.scriptChild.getBBox(),r=this.getOverKU(i,o)[1],n=this.isLineAbove?0:this.getDelta(),s=h(this.getDeltaW([i,o],[0,n]),2),c=s[0],l=s[1];e.combine(i,c,0),e.combine(o,l,r),e.h+=this.font.params.big_op_spacing5,e.clean()}},e}(t)},i.CommonMunderoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"underChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"overChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.underChild},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.overChild},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.overChild.getBBox(),o=this.baseChild.getBBox(),r=this.underChild.getBBox(),n=this.getOverKU(o,i)[1],s=this.getUnderKV(o,r)[1],c=this.getDelta(),l=h(this.getDeltaW([o,r,i],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),u=l[0],a=l[1],p=l[2];e.combine(o,u,0),e.combine(i,p,n),e.combine(r,a,s);var f=this.font.params.big_op_spacing5;e.h+=f,e.d+=f,e.clean()}},e}(t)}},\n      624: function _(e,t,r,n,i){var o,u=this&&this.__extends||(o=function(e,t){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},o(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}o(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(e){for(var t,r=1,n=arguments.length;r<n;r++)for(var i in t=arguments[r])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e},c.apply(this,arguments)};n();var a=e(529),l=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munderover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),t.prototype.setChildInheritedAttributes=function(e,t,r,n){var i=this.childNodes;i[0].setInheritedAttributes(e,t,r,n||!!i[this.over]);var o=!(t||!i[0].coreMO().attributes.get(\"movablelimits\")),u=this.constructor.ACCENTS;i[1].setInheritedAttributes(e,!1,this.getScriptlevel(u[1],o,r),n||1===this.under),this.setInheritedAccent(1,u[1],t,r,n,o),i[2]&&(i[2].setInheritedAttributes(e,!1,this.getScriptlevel(u[2],o,r),n||2===this.under),this.setInheritedAccent(2,u[2],t,r,n,o))},t.prototype.getScriptlevel=function(e,t,r){return!t&&this.attributes.get(e)||r++,r},t.prototype.setInheritedAccent=function(e,t,r,n,i,o){var u=this.childNodes[e];if(null==this.attributes.getExplicit(t)&&u.isEmbellished){var c=u.coreMO().attributes.get(\"accent\");this.attributes.setInherited(t,c),c!==this.attributes.getDefault(t)&&u.setInheritedAttributes({},r,this.getScriptlevel(t,o,n),i)}},t.defaults=c(c({},a.AbstractMmlBaseNode.defaults),{accent:!1,accentunder:!1,align:\"center\"}),t.ACCENTS=[\"\",\"accentunder\",\"accent\"],t}(a.AbstractMmlBaseNode);r.MmlMunderover=l;var s=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munder\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t}(l);r.MmlMunder=s;var p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"mover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t.ACCENTS=[\"\",\"accent\",\"accentunder\"],t}(l);r.MmlMover=p},\n      625: function _(t,r,i,o,e){var n,s=this&&this.__extends||(n=function(t,r){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var i in r)Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i])},n(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,r),t.prototype=null===r?Object.create(r):(i.prototype=r.prototype,new i)}),p=this&&this.__read||function(t,r){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,e,n=i.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){e={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return s};o();var c=t(617),a=t(626),u=t(627),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),i=this.scriptData,o=this.combinePrePost(i.sub,i.psub),e=this.combinePrePost(i.sup,i.psup),n=p(this.getUVQ(o,e),2),s=n[0],c=n[1],a=0;i.numPrescripts&&(a=this.addScripts(.05,s,c,!0,this.firstPrescript,i.numPrescripts));var u=this.baseChild;u.toSVG(r),u.place(a,0),a+=u.getBBox().w,i.numScripts&&this.addScripts(a,s,c,!1,1,i.numScripts)},r.prototype.addScripts=function(t,r,i,o,e,n){var s=this.adaptor,c=s.append(this.element,this.svg(\"g\")),a=s.append(this.element,this.svg(\"g\"));this.place(t,r,c),this.place(t,i,a);for(var u=e+2*n,l=0;e<u;){var h=p([this.childNodes[e++],this.childNodes[e++]],2),f=h[0],d=h[1],y=p([f.getBBox(),d.getBBox()],2),m=y[0],v=y[1],S=p([m.rscale,v.rscale],2),_=S[0],b=S[1],w=Math.max(m.w*_,v.w*b);f.toSVG(a),d.toSVG(c),f.place(l+(o?w-m.w*_:0),0),d.place(l+(o?w-v.w*b:0),0),l+=w}return t+l},r.kind=u.MmlMmultiscripts.prototype.kind,r}(a.CommonMmultiscriptsMixin(c.SVGmsubsup));i.SVGmmultiscripts=l},\n      626: function _(t,s,i,r,e){var n,o=this&&this.__extends||(n=function(t,s){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,s){t.__proto__=s}||function(t,s){for(var i in s)Object.prototype.hasOwnProperty.call(s,i)&&(t[i]=s[i])},n(t,s)},function(t,s){if(\"function\"!=typeof s&&null!==s)throw new TypeError(\"Class extends value \"+String(s)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,s),t.prototype=null===s?Object.create(s):(i.prototype=s.prototype,new i)}),p=this&&this.__read||function(t,s){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,e,n=i.call(t),o=[];try{for(;(void 0===s||s-- >0)&&!(r=n.next()).done;)o.push(r.value)}catch(t){e={error:t}}finally{try{r&&!r.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return o},u=this&&this.__spreadArray||function(t,s){for(var i=0,r=s.length,e=t.length;i<r;i++,e++)t[e]=s[i];return t},a=this&&this.__values||function(t){var s=\"function\"==typeof Symbol&&Symbol.iterator,i=s&&t[s],r=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(s?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var c=t(573);i.NextScript={base:\"subList\",subList:\"supList\",supList:\"subList\",psubList:\"psupList\",psupList:\"psubList\"},i.ScriptNames=[\"sup\",\"sup\",\"psup\",\"psub\"],i.CommonMmultiscriptsMixin=function(t){return function(t){function s(){for(var s=[],i=0;i<arguments.length;i++)s[i]=arguments[i];var r=t.apply(this,u([],p(s)))||this;return r.scriptData=null,r.firstPrescript=0,r.getScriptData(),r}return o(s,t),s.prototype.combinePrePost=function(t,s){var i=new c.BBox(t);return i.combine(s,0,0),i},s.prototype.computeBBox=function(t,s){void 0===s&&(s=!1);var i=this.font.params.scriptspace,r=this.scriptData,e=this.combinePrePost(r.sub,r.psub),n=this.combinePrePost(r.sup,r.psup),o=p(this.getUVQ(e,n),2),u=o[0],a=o[1];if(t.empty(),r.numPrescripts&&(t.combine(r.psup,i,u),t.combine(r.psub,i,a)),t.append(r.base),r.numScripts){var c=t.w;t.combine(r.sup,c,u),t.combine(r.sub,c,a),t.w+=i}t.clean(),this.setChildPWidths(s)},s.prototype.getScriptData=function(){var t=this.scriptData={base:null,sub:c.BBox.empty(),sup:c.BBox.empty(),psub:c.BBox.empty(),psup:c.BBox.empty(),numPrescripts:0,numScripts:0},s=this.getScriptBBoxLists();this.combineBBoxLists(t.sub,t.sup,s.subList,s.supList),this.combineBBoxLists(t.psub,t.psup,s.psubList,s.psupList),t.base=s.base[0],t.numPrescripts=s.psubList.length,t.numScripts=s.subList.length},s.prototype.getScriptBBoxLists=function(){var t,s,r={base:[],subList:[],supList:[],psubList:[],psupList:[]},e=\"base\";try{for(var n=a(this.childNodes),o=n.next();!o.done;o=n.next()){var p=o.value;p.node.isKind(\"mprescripts\")?e=\"psubList\":(r[e].push(p.getBBox()),e=i.NextScript[e])}}catch(s){t={error:s}}finally{try{o&&!o.done&&(s=n.return)&&s.call(n)}finally{if(t)throw t.error}}return this.firstPrescript=r.subList.length+r.supList.length+2,this.padLists(r.subList,r.supList),this.padLists(r.psubList,r.psupList),r},s.prototype.padLists=function(t,s){t.length>s.length&&s.push(c.BBox.empty())},s.prototype.combineBBoxLists=function(t,s,i,r){for(var e=0;e<i.length;e++){var n=p(this.getScaledWHD(i[e]),3),o=n[0],u=n[1],a=n[2],c=p(this.getScaledWHD(r[e]),3),h=c[0],l=c[1],b=c[2],f=Math.max(o,h);t.w+=f,s.w+=f,u>t.h&&(t.h=u),a>t.d&&(t.d=a),l>s.h&&(s.h=l),b>s.d&&(s.d=b)}},s.prototype.getScaledWHD=function(t){var s=t.w,i=t.h,r=t.d,e=t.rscale;return[s*e,i*e,r*e]},s.prototype.getUVQ=function(s,i){var r;if(!this.UVQ){var e=p([0,0,0],3),n=e[0],o=e[1],u=e[2];0===s.h&&0===s.d?n=this.getU():0===i.h&&0===i.d?n=-this.getV():(n=(r=p(t.prototype.getUVQ.call(this,s,i),3))[0],o=r[1],u=r[2]),this.UVQ=[n,o,u]}return this.UVQ},s}(t)}},\n      627: function _(t,e,r,i,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},c.apply(this,arguments)};i();var u=t(529),l=t(621),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mmultiscripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,i){this.childNodes[0].setInheritedAttributes(t,e,r,i);for(var n=!1,o=1,s=0;o<this.childNodes.length;o++){var c=this.childNodes[o];if(c.isKind(\"mprescripts\")){if(!n&&(n=!0,o%2==0)){var u=this.factory.create(\"mrow\");this.childNodes.splice(o,0,u),u.parent=this,o++}}else{var l=i||s%2==0;c.setInheritedAttributes(t,!1,r+1,l),s++}}this.childNodes.length%2==(n?1:0)&&(this.appendChild(this.factory.create(\"mrow\")),this.childNodes[this.childNodes.length-1].setInheritedAttributes(t,!1,r+1,i))},e.prototype.verifyChildren=function(e){for(var r=!1,i=e.fixMmultiscripts,n=0;n<this.childNodes.length;n++){var o=this.childNodes[n];o.isKind(\"mprescripts\")&&(r?o.mError(o.kind+\" can only appear once in \"+this.kind,e,!0):(r=!0,n%2!=0||i||this.mError(\"There must be an equal number of prescripts of each type\",e)))}this.childNodes.length%2!=(r?1:0)||i||this.mError(\"There must be an equal number of scripts of each type\",e),t.prototype.verifyChildren.call(this,e)},e.defaults=c({},l.MmlMsubsup.defaults),e}(l.MmlMsubsup);r.MmlMmultiscripts=p;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mprescripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMprescripts=a;var h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"none\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlNone=h},\n      628: function _(t,e,i,s,a){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var s,a,n=i.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(s=n.next()).done;)o.push(s.value)}catch(t){a={error:t}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(a)throw a.error}}return o},r=this&&this.__spreadArray||function(t,e){for(var i=0,s=e.length,a=t.length;i<s;i++,a++)t[a]=e[i];return t};s();var l=t(570),d=t(629),p=t(631),f=function(t){function e(e,i,s){void 0===s&&(s=null);var a=t.call(this,e,i,s)||this,n={\"data-labels\":!0};return a.isTop&&(n.transform=\"matrix(1 0 0 -1 0 0)\"),a.labels=a.svg(\"g\",n),a}return o(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeRows(e),this.handleColumnLines(e),this.handleRowLines(e),this.handleFrame(e);var i=this.handlePWidth(e);this.handleLabels(e,t,i)},e.prototype.placeRows=function(t){for(var e,i,s,a=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),o=n.H,l=n.D,d=this.getEqualRowHeight(),p=this.getRowHalfSpacing(),f=r(r([this.fLine],h(this.rLines)),[this.fLine]),c=this.getBBox().h-f[0],g=0;g<this.numRows;g++){var u=this.childNodes[g];e=h(this.getRowHD(a,d,o[g],l[g]),2),u.H=e[0],u.D=e[1],i=h([p[g],p[g+1]],2),u.tSpace=i[0],u.bSpace=i[1],s=h([f[g],f[g+1]],2),u.tLine=s[0],u.bLine=s[1],u.toSVG(t),u.place(0,c-p[g]-u.H),c-=p[g]+u.H+u.D+p[g+1]+f[g+1]}},e.prototype.getRowHD=function(t,e,i,s){return t?[(e+i-s)/2,(e-i+s)/2]:[i,s]},e.prototype.handleColor=function(){t.prototype.handleColor.call(this);var e=this.firstChild();e&&this.adaptor.setAttribute(e,\"width\",this.fixed(this.getWidth()))},e.prototype.handleColumnLines=function(t){if(\"none\"!==this.node.attributes.get(\"columnlines\")){var e=this.getColumnAttributes(\"columnlines\");if(e)for(var i=this.getColumnHalfSpacing(),s=this.cLines,a=this.getComputedWidths(),n=this.fLine,o=0;o<e.length;o++)n+=i[o]+a[o]+i[o+1],\"none\"!==e[o]&&this.adaptor.append(t,this.makeVLine(n,e[o],s[o])),n+=s[o]}},e.prototype.handleRowLines=function(t){if(\"none\"!==this.node.attributes.get(\"rowlines\")){var e=this.getRowAttributes(\"rowlines\");if(e)for(var i=this.node.attributes.get(\"equalrows\"),s=this.getTableData(),a=s.H,n=s.D,o=this.getEqualRowHeight(),r=this.getRowHalfSpacing(),l=this.rLines,d=this.getBBox().h-this.fLine,p=0;p<e.length;p++){var f=h(this.getRowHD(i,o,a[p],n[p]),2),c=f[0],g=f[1];d-=r[p]+c+g+r[p+1],\"none\"!==e[p]&&this.adaptor.append(t,this.makeHLine(d,e[p],l[p])),d-=l[p]}}},e.prototype.handleFrame=function(t){if(this.frame&&this.fLine){var e=this.getBBox(),i=e.h,s=e.d,a=e.w,n=this.node.attributes.get(\"frame\");this.adaptor.append(t,this.makeFrame(a,i,s,n))}},e.prototype.handlePWidth=function(t){if(!this.pWidth)return 0;var e=this.getBBox(),i=e.w,s=e.L,a=e.R,n=s+this.pWidth+a,o=this.getAlignShift()[0],h=Math.max(this.isTop?n:0,this.container.getWrapWidth(this.containerI))-s-a,r=i-(this.pWidth>h?h:this.pWidth),l=\"left\"===o?0:\"right\"===o?r:r/2;if(l){var d=this.svg(\"g\",{},this.adaptor.childNodes(t));this.place(l,0,d),this.adaptor.append(t,d)}return l},e.prototype.lineClass=function(t){return\"mjx-\"+t},e.prototype.makeFrame=function(t,e,i,s){var a=this.fLine;return this.svg(\"rect\",this.setLineThickness(a,s,{\"data-frame\":!0,class:this.lineClass(s),width:this.fixed(t-a),height:this.fixed(e+i-a),x:this.fixed(a/2),y:this.fixed(a/2-i)}))},e.prototype.makeVLine=function(t,e,i){var s=this.getBBox(),a=s.h,n=s.d,o=\"dotted\"===e?i/2:0,h=this.fixed(t+i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"v\",class:this.lineClass(e),x1:h,y1:this.fixed(o-n),x2:h,y2:this.fixed(a-o)}))},e.prototype.makeHLine=function(t,e,i){var s=this.getBBox().w,a=\"dotted\"===e?i/2:0,n=this.fixed(t-i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"h\",class:this.lineClass(e),x1:this.fixed(a),y1:n,x2:this.fixed(s-a),y2:n}))},e.prototype.setLineThickness=function(t,e,i){return.07!==t&&(i[\"stroke-thickness\"]=this.fixed(t),\"solid\"!==e&&(i[\"stroke-dasharray\"]=(\"dotted\"===e?\"0,\":\"\")+this.fixed(2*t))),i},e.prototype.handleLabels=function(t,e,i){if(this.hasLabels){var s=this.labels,a=this.node.attributes.get(\"side\");this.spaceLabels(),this.isTop?this.topTable(t,s,a):this.subTable(t,s,a,i)}},e.prototype.spaceLabels=function(){for(var t=this.adaptor,e=this.getBBox().h,i=this.getTableData().L,s=this.getRowHalfSpacing(),a=e-this.fLine,n=t.firstChild(this.labels),o=0;o<this.numRows;o++){var h=this.childNodes[o];if(h.node.isKind(\"mlabeledtr\")){var r=h.childNodes[0];a-=s[o]+h.H,h.placeCell(r,{x:0,y:a,w:i,lSpace:0,rSpace:0,lLine:0,rLine:0}),a-=h.D+s[o+1]+this.rLines[o],n=t.next(n)}else a-=s[o]+h.H+h.D+s[o+1]+this.rLines[o]}},e.prototype.topTable=function(t,e,i){var s=this.adaptor,a=this.getBBox(),n=a.h,o=a.d,r=a.w,l=a.L,d=a.R,p=l+(this.pWidth||r)+d,f=this.getTableData().L,c=h(this.getPadAlignShift(i),3),g=c[1],u=c[2]+(\"right\"===g?-p:\"center\"===g?-p/2:0)+l,x=\"matrix(1 0 0 -1 0 0)\",m=\"scale(\"+this.jax.fixed(1e3*this.font.params.x_height/this.metrics.ex,2)+\")\",v=\"translate(0 \"+this.fixed(n)+\") \"+x+\" \"+m,b=this.svg(\"svg\",{\"data-table\":!0,preserveAspectRatio:\"left\"===g?\"xMinYMid\":\"right\"===g?\"xMaxYMid\":\"xMidYMid\",viewBox:[this.fixed(-u),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[this.svg(\"g\",{transform:x},s.childNodes(t))]);e=this.svg(\"svg\",{\"data-labels\":!0,preserveAspectRatio:\"left\"===i?\"xMinYMid\":\"xMaxYMid\",viewBox:[\"left\"===i?0:this.fixed(f),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[e]),s.append(t,this.svg(\"g\",{transform:v},[b,e])),this.place(-l,0,t)},e.prototype.subTable=function(t,e,i,s){var a=this.adaptor,n=this.getBBox(),o=n.w,h=n.L,r=n.R,l=h+(this.pWidth||o)+r,d=this.getTableData().L,p=this.getAlignShift()[0],f=Math.max(l,this.container.getWrapWidth(this.containerI));this.place(\"left\"===i?(\"left\"===p?0:\"right\"===p?l-f+s:(l-f)/2+s)-h:(\"left\"===p?f:\"right\"===p?l+s:(f+l)/2+s)-h-d,0,e),a.append(t,e)},e.kind=p.MmlMtable.prototype.kind,e.styles={'g[data-mml-node=\"mtable\"] > line[data-line], svg[data-table] > g > line[data-line]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > rect[data-frame], svg[data-table] > g > rect[data-frame]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > .mjx-dashed, svg[data-table] > g > .mjx-dashed':{\"stroke-dasharray\":\"140\"},'g[data-mml-node=\"mtable\"] > .mjx-dotted, svg[data-table] > g > .mjx-dotted':{\"stroke-linecap\":\"round\",\"stroke-dasharray\":\"0,140\"},'g[data-mml-node=\"mtable\"] > g > svg':{overflow:\"visible\"}},e}(d.CommonMtableMixin(l.SVGWrapper));i.SVGmtable=f},\n      629: function _(t,e,i,n,r){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var n,r,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(i=o.return)&&i.call(o)}finally{if(r)throw r.error}}return s},h=this&&this.__spreadArray||function(t,e){for(var i=0,n=e.length,r=t.length;i<n;i++,r++)t[r]=e[i];return t},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,i=e&&t[e],n=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(573),c=t(526),f=t(630);i.CommonMtableMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var n=t.apply(this,h([],a(e)))||this;n.numCols=0,n.numRows=0,n.data=null,n.pwidthCells=[],n.pWidth=0,n.numCols=f.max(n.tableRows.map((function(t){return t.numCells}))),n.numRows=n.childNodes.length,n.hasLabels=n.childNodes.reduce((function(t,e){return t||e.node.isKind(\"mlabeledtr\")}),!1),n.findContainer(),n.isTop=!n.container||n.container.node.isKind(\"math\")&&!n.container.parent,n.isTop&&(n.jax.table=n),n.getPercentageWidth();var r=n.node.attributes;return n.frame=\"none\"!==r.get(\"frame\"),n.fLine=n.frame&&r.get(\"frame\")?.07:0,n.fSpace=n.frame?n.convertLengths(n.getAttributeArray(\"framespacing\")):[0,0],n.cSpace=n.convertLengths(n.getColumnAttributes(\"columnspacing\")),n.rSpace=n.convertLengths(n.getRowAttributes(\"rowspacing\")),n.cLines=n.getColumnAttributes(\"columnlines\").map((function(t){return\"none\"===t?0:.07})),n.rLines=n.getRowAttributes(\"rowlines\").map((function(t){return\"none\"===t?0:.07})),n.cWidths=n.getColumnWidths(),n.stretchRows(),n.stretchColumns(),n}return s(e,t),Object.defineProperty(e.prototype,\"tableRows\",{get:function(){return this.childNodes},enumerable:!1,configurable:!0}),e.prototype.findContainer=function(){for(var t=this,e=t.parent;e&&(e.node.notParent||e.node.isKind(\"mrow\"));)t=e,e=e.parent;this.container=e,this.containerI=t.node.childPosition()},e.prototype.getPercentageWidth=function(){if(this.hasLabels)this.bbox.pwidth=u.BBox.fullWidth;else{var t=this.node.attributes.get(\"width\");c.isPercent(t)&&(this.bbox.pwidth=t)}},e.prototype.stretchRows=function(){for(var t=this.node.attributes.get(\"equalrows\"),e=t?this.getEqualRowHeight():0,i=t?this.getTableData():{H:[0],D:[0]},n=i.H,r=i.D,o=this.tableRows,s=0;s<this.numRows;s++){var a=t?[(e+n[s]-r[s])/2,(e-n[s]+r[s])/2]:null;o[s].stretchChildren(a)}},e.prototype.stretchColumns=function(){for(var t=0;t<this.numCols;t++){var e=\"number\"==typeof this.cWidths[t]?this.cWidths[t]:null;this.stretchColumn(t,e)}},e.prototype.stretchColumn=function(t,e){var i,n,r,o,s,a,h=[];try{for(var u=l(this.tableRows),c=u.next();!c.done;c=u.next()){if(y=c.value.getChild(t))0===(C=y.childNodes[0]).stretch.dir&&C.canStretch(2)&&h.push(C)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(n=u.return)&&n.call(u)}finally{if(i)throw i.error}}var f=h.length,p=this.childNodes.length;if(f&&p>1){if(null===e){e=0;var d=f>1&&f===p;try{for(var g=l(this.tableRows),m=g.next();!m.done;m=g.next()){var y;if(y=m.value.getChild(t)){var v=0===(C=y.childNodes[0]).stretch.dir;if(d||v){var b=C.getBBox(v).w;b>e&&(e=b)}}}}catch(t){r={error:t}}finally{try{m&&!m.done&&(o=g.return)&&o.call(g)}finally{if(r)throw r.error}}}try{for(var w=l(h),x=w.next();!x.done;x=w.next()){var C;(C=x.value).coreMO().getStretchedVariant([e])}}catch(t){s={error:t}}finally{try{x&&!x.done&&(a=w.return)&&a.call(w)}finally{if(s)throw s.error}}}},e.prototype.getTableData=function(){if(this.data)return this.data;for(var t=new Array(this.numRows).fill(0),e=new Array(this.numRows).fill(0),i=new Array(this.numCols).fill(0),n=new Array(this.numRows),r=new Array(this.numRows),o=[0],s=this.tableRows,a=0;a<s.length;a++){for(var h=0,l=s[a],u=l.node.attributes.get(\"rowalign\"),c=0;c<l.numCells;c++){var f=l.getChild(c);h=this.updateHDW(f,c,a,u,t,e,i,h),this.recordPWidthCell(f,c)}n[a]=t[a],r[a]=e[a],l.labeled&&(h=this.updateHDW(l.childNodes[0],0,a,u,t,e,o,h)),this.extendHD(a,t,e,h),this.extendHD(a,n,r,h)}var p=o[0];return this.data={H:t,D:e,W:i,NH:n,ND:r,L:p},this.data},e.prototype.updateHDW=function(t,e,i,n,r,o,s,a){var h=t.getBBox(),l=h.h,u=h.d,c=h.w,f=t.parent.bbox.rscale;1!==t.parent.bbox.rscale&&(l*=f,u*=f,c*=f),this.node.getProperty(\"useHeight\")&&(l<.75&&(l=.75),u<.25&&(u=.25));var p=0;return\"baseline\"!==(n=t.node.attributes.get(\"rowalign\")||n)&&\"axis\"!==n&&(p=l+u,l=u=0),l>r[i]&&(r[i]=l),u>o[i]&&(o[i]=u),p>a&&(a=p),s&&c>s[e]&&(s[e]=c),a},e.prototype.extendHD=function(t,e,i,n){var r=(n-(e[t]+i[t]))/2;r<1e-5||(e[t]+=r,i[t]+=r)},e.prototype.recordPWidthCell=function(t,e){t.childNodes[0]&&t.childNodes[0].getBBox().pwidth&&this.pwidthCells.push([t,e])},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i,n,r=this.getTableData(),o=r.H,s=r.D;if(this.node.attributes.get(\"equalrows\")){var h=this.getEqualRowHeight();i=f.sum([].concat(this.rLines,this.rSpace))+h*this.numRows}else i=f.sum(o.concat(s,this.rLines,this.rSpace));i+=2*(this.fLine+this.fSpace[1]);var l=this.getComputedWidths();n=f.sum(l.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]);var u=this.node.attributes.get(\"width\");\"auto\"!==u&&(n=Math.max(this.length2em(u,0)+2*this.fLine,n));var p=a(this.getBBoxHD(i),2),d=p[0],g=p[1];t.h=d,t.d=g,t.w=n;var m=a(this.getBBoxLR(),2),y=m[0],v=m[1];t.L=y,t.R=v,c.isPercent(u)||this.setColumnPWidths()},e.prototype.setChildPWidths=function(t,e,i){var n=this.node.attributes.get(\"width\");if(!c.isPercent(n))return!1;this.hasLabels||(this.bbox.pwidth=\"\",this.container.bbox.pwidth=\"\");var r=this.bbox,o=r.w,s=r.L,a=r.R,h=this.node.attributes.get(\"data-width-includes-label\"),l=Math.max(o,this.length2em(n,Math.max(e,s+o+a)))-(h?s+a:0),u=this.node.attributes.get(\"equalcolumns\")?Array(this.numCols).fill(this.percent(1/Math.max(1,this.numCols))):this.getColumnAttributes(\"columnwidth\",0);this.cWidths=this.getColumnWidthsFixed(u,l);var p=this.getComputedWidths();return this.pWidth=f.sum(p.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]),this.isTop&&(this.bbox.w=this.pWidth),this.setColumnPWidths(),this.pWidth!==o&&this.parent.invalidateBBox(),this.pWidth!==o},e.prototype.setColumnPWidths=function(){var t,e,i=this.cWidths;try{for(var n=l(this.pwidthCells),r=n.next();!r.done;r=n.next()){var o=a(r.value,2),s=o[0],h=o[1];s.setChildPWidths(!1,i[h])&&(s.invalidateBBox(),s.getBBox())}}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},e.prototype.getBBoxHD=function(t){var e=a(this.getAlignmentRow(),2),i=e[0],n=e[1];if(null===n){var r=this.font.params.axis_height,o=t/2;return{top:[0,t],center:[o,o],bottom:[t,0],baseline:[o,o],axis:[o+r,o-r]}[i]||[o,o]}var s=this.getVerticalPosition(n,i);return[s,t-s]},e.prototype.getBBoxLR=function(){if(this.hasLabels){var t=this.node.attributes,e=t.get(\"side\"),i=a(this.getPadAlignShift(e),2),n=i[0],r=i[1],o=this.hasLabels&&!!t.get(\"data-width-includes-label\");return o&&this.frame&&this.fSpace[0]&&(n-=this.fSpace[0]),\"center\"!==r||o?\"left\"===e?[n,0]:[0,n]:[n,n]}return[0,0]},e.prototype.getPadAlignShift=function(t){var e=this.getTableData().L+this.length2em(this.node.attributes.get(\"minlabelspacing\")),i=a(null==this.styles?[\"\",\"\"]:[this.styles.get(\"padding-left\"),this.styles.get(\"padding-right\")],2),n=i[0],r=i[1];(n||r)&&(e=Math.max(e,this.length2em(n||\"0\"),this.length2em(r||\"0\")));var o=a(this.getAlignShift(),2),s=o[0],h=o[1];return s===t&&(h=\"left\"===t?Math.max(e,h)-e:Math.min(-e,h)+e),[e,s,h]},e.prototype.getAlignShift=function(){return this.isTop?t.prototype.getAlignShift.call(this):[this.container.getChildAlign(this.containerI),0]},e.prototype.getWidth=function(){return this.pWidth||this.getBBox().w},e.prototype.getEqualRowHeight=function(){var t=this.getTableData(),e=t.H,i=t.D,n=Array.from(e.keys()).map((function(t){return e[t]+i[t]}));return Math.max.apply(Math,n)},e.prototype.getComputedWidths=function(){var t=this,e=this.getTableData().W,i=Array.from(e.keys()).map((function(i){return\"number\"==typeof t.cWidths[i]?t.cWidths[i]:e[i]}));return this.node.attributes.get(\"equalcolumns\")&&(i=Array(i.length).fill(f.max(i))),i},e.prototype.getColumnWidths=function(){var t=this.node.attributes.get(\"width\");if(this.node.attributes.get(\"equalcolumns\"))return this.getEqualColumns(t);var e=this.getColumnAttributes(\"columnwidth\",0);return\"auto\"===t?this.getColumnWidthsAuto(e):c.isPercent(t)?this.getColumnWidthsPercent(e):this.getColumnWidthsFixed(e,this.length2em(t))},e.prototype.getEqualColumns=function(t){var e,i=Math.max(1,this.numCols);if(\"auto\"===t){var n=this.getTableData().W;e=f.max(n)}else if(c.isPercent(t))e=this.percent(1/i);else{var r=f.sum([].concat(this.cLines,this.cSpace))+2*this.fSpace[0];e=Math.max(0,this.length2em(t)-r)/i}return Array(this.numCols).fill(e)},e.prototype.getColumnWidthsAuto=function(t){var e=this;return t.map((function(t){return\"auto\"===t||\"fit\"===t?null:c.isPercent(t)?t:e.length2em(t)}))},e.prototype.getColumnWidthsPercent=function(t){var e=this,i=t.indexOf(\"fit\")>=0,n=(i?this.getTableData():{W:null}).W;return Array.from(t.keys()).map((function(r){var o=t[r];return\"fit\"===o?null:\"auto\"===o?i?n[r]:null:c.isPercent(o)?o:e.length2em(o)}))},e.prototype.getColumnWidthsFixed=function(t,e){var i=this,n=Array.from(t.keys()),r=n.filter((function(e){return\"fit\"===t[e]})),o=n.filter((function(e){return\"auto\"===t[e]})),s=r.length||o.length,a=(s?this.getTableData():{W:null}).W,h=e-f.sum([].concat(this.cLines,this.cSpace))-2*this.fSpace[0],l=h;n.forEach((function(e){var n=t[e];l-=\"fit\"===n||\"auto\"===n?a[e]:i.length2em(n,h)}));var u=s&&l>0?l/s:0;return n.map((function(e){var n=t[e];return\"fit\"===n?a[e]+u:\"auto\"===n?a[e]+(0===r.length?u:0):i.length2em(n,h)}))},e.prototype.getVerticalPosition=function(t,e){for(var i=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),r=n.H,o=n.D,s=i?this.getEqualRowHeight():0,h=this.getRowHalfSpacing(),l=this.fLine,u=0;u<t;u++)l+=h[u]+(i?s:r[u]+o[u])+h[u+1]+this.rLines[u];var c=a(i?[(s+r[t]-o[t])/2,(s-r[t]+o[t])/2]:[r[t],o[t]],2),f=c[0],p=c[1];return l+={top:0,center:h[t]+(f+p)/2,bottom:h[t]+f+p+h[t+1],baseline:h[t]+f,axis:h[t]+f-.25}[e]||0},e.prototype.getEmHalfSpacing=function(t,e,i){void 0===i&&(i=1);var n=this.em(t*i),r=this.addEm(e,2/i);return r.unshift(n),r.push(n),r},e.prototype.getRowHalfSpacing=function(){var t=this.rSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[1]),t.push(this.fSpace[1]),t},e.prototype.getColumnHalfSpacing=function(){var t=this.cSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[0]),t.push(this.fSpace[0]),t},e.prototype.getAlignmentRow=function(){var t=a(c.split(this.node.attributes.get(\"align\")),2),e=t[0],i=t[1];if(null==i)return[e,null];var n=parseInt(i);return n<0&&(n+=this.numRows+1),[e,n<1||n>this.numRows?null:n-1]},e.prototype.getColumnAttributes=function(t,e){void 0===e&&(e=1);var i=this.numCols-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getRowAttributes=function(t,e){void 0===e&&(e=1);var i=this.numRows-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getAttributeArray=function(t){var e=this.node.attributes.get(t);return e?c.split(e):[this.node.attributes.getDefault(t)]},e.prototype.addEm=function(t,e){var i=this;return void 0===e&&(e=1),t?t.map((function(t){return i.em(t/e)})):null},e.prototype.convertLengths=function(t){var e=this;return t?t.map((function(t){return e.length2em(t)})):null},e}(t)}},\n      630: function _(n,u,r,t,e){t(),r.sum=function(n){return n.reduce((function(n,u){return n+u}),0)},r.max=function(n){return n.reduce((function(n,u){return Math.max(n,u)}),0)}},\n      631: function _(t,e,r,n,i){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(529),c=t(526),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.properties={useHeight:!0},e.texclass=u.TEXCLASS.ORD,e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mtable\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setInheritedAttributes=function(e,r,n,i){var o,l;try{for(var a=s(u.indentAttributes),c=a.next();!c.done;c=a.next()){var h=c.value;e[h]&&this.attributes.setInherited(h,e[h][1]),void 0!==this.attributes.getExplicit(h)&&delete this.attributes.getAllAttributes()[h]}}catch(t){o={error:t}}finally{try{c&&!c.done&&(l=a.return)&&l.call(a)}finally{if(o)throw o.error}}t.prototype.setInheritedAttributes.call(this,e,r,n,i)},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o,l,a;try{for(var u=s(this.childNodes),h=u.next();!h.done;h=u.next()){(b=h.value).isKind(\"mtr\")||this.replaceChild(this.factory.create(\"mtr\"),b).appendChild(b)}}catch(t){i={error:t}}finally{try{h&&!h.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}r=this.getProperty(\"scriptlevel\")||r,e=!(!this.attributes.getExplicit(\"displaystyle\")&&!this.attributes.getDefault(\"displaystyle\")),t=this.addInheritedAttributes(t,{columnalign:this.attributes.get(\"columnalign\"),rowalign:\"center\"});var f=this.attributes.getExplicit(\"data-cramped\"),p=c.split(this.attributes.get(\"rowalign\"));try{for(var d=s(this.childNodes),y=d.next();!y.done;y=d.next()){var b=y.value;t.rowalign[1]=p.shift()||t.rowalign[1],b.setInheritedAttributes(t,e,r,!!f)}}catch(t){l={error:t}}finally{try{y&&!y.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},e.prototype.verifyChildren=function(e){var r,n;if(!e.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){o.value.isKind(\"mtr\")||this.mError(\"Children of \"+this.kind+\" must be mtr or mlabeledtr\",e)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}t.prototype.verifyChildren.call(this,e)},e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.defaults=a(a({},u.AbstractMmlNode.defaults),{align:\"axis\",rowalign:\"baseline\",columnalign:\"center\",groupalign:\"{left}\",alignmentscope:!0,columnwidth:\"auto\",width:\"auto\",rowspacing:\"1ex\",columnspacing:\".8em\",rowlines:\"none\",columnlines:\"none\",frame:\"none\",framespacing:\"0.4em 0.5ex\",equalrows:!1,equalcolumns:!1,displaystyle:!1,side:\"right\",minlabelspacing:\"0.8em\"}),e}(u.AbstractMmlNode);r.MmlMtable=h},\n      632: function _(t,e,r,i,n){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,n,o=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(i=o.next()).done;)l.push(i.value)}catch(t){n={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(n)throw n.error}}return l},s=this&&this.__spreadArray||function(t,e){for(var r=0,i=e.length,n=t.length;r<i;r++,n++)t[n]=e[r];return t};i();var p=t(570),h=t(633),c=t(633),u=t(634),f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeCells(e),this.placeColor()},e.prototype.placeCells=function(t){for(var e=this.parent.getColumnHalfSpacing(),r=s(s([this.parent.fLine],a(this.parent.cLines)),[this.parent.fLine]),i=this.parent.getComputedWidths(),n=1/this.getBBox().rscale,o=r[0],l=0;l<this.numCells;l++){var p=this.getChild(l);p.toSVG(t),o+=this.placeCell(p,{x:o,y:0,lSpace:e[l]*n,rSpace:e[l+1]*n,w:i[l]*n,lLine:r[l]*n,rLine:r[l+1]*n})}},e.prototype.placeCell=function(t,e){var r=e.x,i=e.y,n=e.lSpace,o=e.w,l=e.rSpace,s=e.lLine,p=e.rLine,h=1/this.getBBox().rscale,c=a([this.H*h,this.D*h],2),u=c[0],f=c[1],d=a([this.tSpace*h,this.bSpace*h],2),y=d[0],S=d[1],b=a(t.placeCell(r+n,i,o,u,f),2),v=b[0],C=b[1],_=n+o+l;return t.placeColor(-(v+n+s/2),-(f+S+C),_+(s+p)/2,u+f+y+S),_+p},e.prototype.placeColor=function(){var t=1/this.getBBox().rscale,e=this.adaptor,r=this.firstChild();if(r&&\"rect\"===e.kind(r)&&e.getAttribute(r,\"data-bgcolor\")){var i=a([this.tLine/2*t,this.bLine/2*t],2),n=i[0],o=i[1],l=a([this.tSpace*t,this.bSpace*t],2),s=l[0],p=l[1],h=a([this.H*t,this.D*t],2),c=h[0],u=h[1];e.setAttribute(r,\"y\",this.fixed(-(u+p+o))),e.setAttribute(r,\"width\",this.fixed(this.parent.getWidth()*t)),e.setAttribute(r,\"height\",this.fixed(n+s+c+u+p+o))}},e.kind=u.MmlMtr.prototype.kind,e}(h.CommonMtrMixin(p.SVGWrapper));r.SVGmtr=f;var d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(e){t.prototype.toSVG.call(this,e);var r=this.childNodes[0];r&&r.toSVG(this.parent.labels)},e.kind=u.MmlMlabeledtr.prototype.kind,e}(c.CommonMlabeledtrMixin(f));r.SVGmlabeledtr=d},\n      633: function _(e,t,r,n,o){var i,l=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),u=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n(),r.CommonMtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return 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x=j.getBBox(m),O=x.h,N=x.d;O>p&&(p=O),N>y&&(y=N)}}}catch(e){n={error:e}}finally{try{v&&!v.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}e=[p,y]}try{for(var _=u(c),C=_.next();!C.done;C=_.next()){var j;(j=C.value).coreMO().getStretchedVariant(e)}}catch(e){i={error:e}}finally{try{C&&!C.done&&(l=_.return)&&l.call(_)}finally{if(i)throw i.error}}}},t}(e)},r.CommonMlabeledtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return Math.max(0,this.childNodes.length-1)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"labeled\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"tableCells\",{get:function(){return this.childNodes.slice(1)},enumerable:!1,configurable:!0}),t.prototype.getChild=function(e){return this.childNodes[e+1]},t.prototype.getChildBBoxes=function(){return this.childNodes.slice(1).map((function(e){return e.getBBox()}))},t}(e)}},\n      634: function _(t,r,e,n,i){var o,l=this&&this.__extends||(o=function(t,r){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},o(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}o(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var r,e=1,n=arguments.length;e<n;e++)for(var i in r=arguments[e])Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],n=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(529),c=t(530),f=t(526),h=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),r.prototype.setChildInheritedAttributes=function(t,r,e,n){var i,o,l,a;try{for(var u=s(this.childNodes),c=u.next();!c.done;c=u.next()){(y=c.value).isKind(\"mtd\")||this.replaceChild(this.factory.create(\"mtd\"),y).appendChild(y)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}var h=f.split(this.attributes.get(\"columnalign\"));1===this.arity&&h.unshift(this.parent.attributes.get(\"side\")),t=this.addInheritedAttributes(t,{rowalign:this.attributes.get(\"rowalign\"),columnalign:\"center\"});try{for(var d=s(this.childNodes),p=d.next();!p.done;p=d.next()){var y=p.value;t.columnalign[1]=h.shift()||t.columnalign[1],y.setInheritedAttributes(t,r,e,n)}}catch(t){l={error:t}}finally{try{p&&!p.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},r.prototype.verifyChildren=function(r){var e,n;if(!this.parent||this.parent.isKind(\"mtable\")){if(!r.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){var l=o.value;if(!l.isKind(\"mtd\"))this.replaceChild(this.factory.create(\"mtr\"),l).mError(\"Children of \"+this.kind+\" must be mtd\",r,!0)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(e)throw e.error}}t.prototype.verifyChildren.call(this,r)}else this.mError(this.kind+\" can only be a child of an mtable\",r,!0)},r.prototype.setTeXclass=function(t){var r,e;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){r={error:t}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(r)throw r.error}}return this},r.defaults=a(a({},u.AbstractMmlNode.defaults),{rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),r}(u.AbstractMmlNode);e.MmlMtr=h;var d=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mlabeledtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),r}(h);e.MmlMlabeledtr=d},\n      635: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)});o();var a=t(570),u=t(636),p=t(637),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.placeCell=function(t,e,i,o,n){var r=this.getBBox(),s=Math.max(r.h,.75),a=Math.max(r.d,.25),u=this.node.attributes.get(\"columnalign\"),p=this.node.attributes.get(\"rowalign\"),c=this.getAlignX(i,r,u),l=this.getAlignY(o,n,s,a,p);return this.place(t+c,e+l),[c,l]},e.prototype.placeColor=function(t,e,i,o){var n=this.adaptor,r=this.firstChild();r&&\"rect\"===n.kind(r)&&n.getAttribute(r,\"data-bgcolor\")&&(n.setAttribute(r,\"x\",this.fixed(t)),n.setAttribute(r,\"y\",this.fixed(e)),n.setAttribute(r,\"width\",this.fixed(i)),n.setAttribute(r,\"height\",this.fixed(o)))},e.kind=p.MmlMtd.prototype.kind,e}(u.CommonMtdMixin(a.SVGWrapper));i.SVGmtd=c},\n      636: function _(t,n,o,e,r){var i,u=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});e(),o.CommonMtdMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return u(n,t),Object.defineProperty(n.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),n.prototype.invalidateBBox=function(){this.bboxComputed=!1},n.prototype.getWrapWidth=function(t){var n=this.parent.parent,o=this.parent,e=this.node.childPosition()-(o.labeled?1:0);return\"number\"==typeof n.cWidths[e]?n.cWidths[e]:n.getTableData().W[e]},n.prototype.getChildAlign=function(t){return this.node.attributes.get(\"columnalign\")},n}(t)}},\n      637: function _(t,e,n,r,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new 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this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.defaults=s(s({},l.AbstractMmlBaseNode.defaults),{rowspan:1,columnspan:1,rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),e}(l.AbstractMmlBaseNode);n.MmlMtd=u},\n      638: function _(t,e,o,n,i){var a,s=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)});n();var r=t(570),l=t(639),d=t(639),p=t(640),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t),o=this.selected,n=o.getBBox(),i=n.h,a=n.d,s=n.w;this.adaptor.append(this.element,this.svg(\"rect\",{width:this.fixed(s),height:this.fixed(i+a),y:this.fixed(-a),fill:\"none\",\"pointer-events\":\"all\"})),o.toSVG(e),this.action(this,this.data)},e.prototype.setEventHandler=function(t,e){this.element.addEventListener(t,e)},e.kind=p.MmlMaction.prototype.kind,e.styles={'[jax=\"SVG\"] mjx-tool':{display:\"inline-block\",position:\"relative\",width:0,height:0},'[jax=\"SVG\"] mjx-tool > mjx-tip':{position:\"absolute\",top:0,left:0},\"mjx-tool > mjx-tip\":{display:\"inline-block\",padding:\".2em\",border:\"1px solid #888\",\"font-size\":\"70%\",\"background-color\":\"#F8F8F8\",color:\"black\",\"box-shadow\":\"2px 2px 5px #AAAAAA\"},'g[data-mml-node=\"maction\"][data-toggle]':{cursor:\"pointer\"},\"mjx-status\":{display:\"block\",position:\"fixed\",left:\"1em\",bottom:\"1em\",\"min-width\":\"25%\",padding:\".2em .4em\",border:\"1px solid #888\",\"font-size\":\"90%\",\"background-color\":\"#F8F8F8\",color:\"black\"}},e.actions=new Map([[\"toggle\",[function(t,e){t.adaptor.setAttribute(t.element,\"data-toggle\",t.node.attributes.get(\"selection\"));var o=t.factory.jax.math,n=t.factory.jax.document,i=t.node;t.setEventHandler(\"click\",(function(t){o.end.node||(o.start.node=o.end.node=o.typesetRoot,o.start.n=o.end.n=0),i.nextToggleSelection(),o.rerender(n),t.stopPropagation()}))},{}]],[\"tooltip\",[function(t,e){var o=t.childNodes[1];if(o){var n=t.firstChild();if(o.node.isKind(\"mtext\")){var i=o.node.getText();t.adaptor.insert(t.svg(\"title\",{},[t.text(i)]),n)}else{var a=t.adaptor,s=t.jax.container,r=t.node.factory.create(\"math\",{},[t.childNodes[1].node]),l=t.html(\"mjx-tool\",{},[t.html(\"mjx-tip\")]),d=a.append(n,t.svg(\"foreignObject\",{style:{display:\"none\"}},[l]));t.jax.processMath(r,a.firstChild(l)),t.childNodes[1].node.parent=t.node,t.setEventHandler(\"mouseover\",(function(o){e.stopTimers(t,e),e.hoverTimer.set(t,setTimeout((function(){a.setStyle(l,\"left\",\"0\"),a.setStyle(l,\"top\",\"0\"),a.append(s,l);var e=a.nodeBBox(l),o=a.nodeBBox(t.element),n=(o.right-e.left)/t.metrics.em+t.dx,i=(o.bottom-e.bottom)/t.metrics.em+t.dy;a.setStyle(l,\"left\",t.px(n)),a.setStyle(l,\"top\",t.px(i))}),e.postDelay)),o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(o){e.stopTimers(t,e);var n=setTimeout((function(){return a.append(d,l)}),e.clearDelay);e.clearTimer.set(t,n),o.stopPropagation()}))}}},d.TooltipData]],[\"statusline\",[function(t,e){var o=t.childNodes[1];if(o&&o.node.isKind(\"mtext\")){var n=t.adaptor,i=o.node.getText();n.setAttribute(t.element,\"data-statusline\",i),t.setEventHandler(\"mouseover\",(function(o){if(null===e.status){var a=n.body(n.document);e.status=n.append(a,t.html(\"mjx-status\",{},[t.text(i)]))}o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(t){e.status&&(n.remove(e.status),e.status=null),t.stopPropagation()}))}},{status:null}]]]),e}(l.CommonMactionMixin(r.SVGWrapper));o.SVGmaction=c},\n      639: function _(t,e,r,o,n){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return a},c=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var l=t(526);r.TooltipData={dx:\".2em\",dy:\".1em\",postDelay:600,clearDelay:100,hoverTimer:new Map,clearTimer:new Map,stopTimers:function(t,e){e.clearTimer.has(t)&&(clearTimeout(e.clearTimer.get(t)),e.clearTimer.delete(t)),e.hoverTimer.has(t)&&(clearTimeout(e.hoverTimer.get(t)),e.hoverTimer.delete(t))}},r.CommonMactionMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,c([],s(e)))||this,n=o.constructor.actions,i=o.node.attributes.get(\"actiontype\"),a=s(n.get(i)||[function(t,e){},{}],2),l=a[0],u=a[1];return o.action=l,o.data=u,o.getParameters(),o}return a(e,t),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.node.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.wrap(this.node.selected)},enumerable:!1,configurable:!0}),e.prototype.getParameters=function(){var t=this.node.attributes.get(\"data-offsets\"),e=s(l.split(t||\"\"),2),o=e[0],n=e[1];this.dx=this.length2em(o||r.TooltipData.dx),this.dy=this.length2em(n||r.TooltipData.dy)},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.updateFrom(this.selected.getBBox()),this.selected.setChildPWidths(e)},e}(t)}},\n      640: function _(t,e,o,r,i){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,o=1,r=arguments.length;o<r;o++)for(var i in e=arguments[o])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},c.apply(this,arguments)};r();var l=t(529),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"maction\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.factory.create(\"mrow\")},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.selected.isEmbellished},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return this.selected.isSpacelike},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.selected.core()},e.prototype.coreMO=function(){return this.selected.coreMO()},e.prototype.verifyAttributes=function(e){(t.prototype.verifyAttributes.call(this,e),\"toggle\"!==this.attributes.get(\"actiontype\")&&void 0!==this.attributes.getExplicit(\"selection\"))&&delete this.attributes.getAllAttributes().selection},e.prototype.setTeXclass=function(t){\"tooltip\"===this.attributes.get(\"actiontype\")&&this.childNodes[1]&&this.childNodes[1].setTeXclass(null);var e=this.selected;return t=e.setTeXclass(t),this.updateTeXclass(e),t},e.prototype.nextToggleSelection=function(){var t=Math.max(1,this.attributes.get(\"selection\")+1);t>this.childNodes.length&&(t=1),this.attributes.set(\"selection\",t)},e.defaults=c(c({},l.AbstractMmlNode.defaults),{actiontype:\"toggle\",selection:1}),e}(l.AbstractMmlNode);o.MmlMaction=u},\n      641: function _(t,r,e,o,n){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 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l=h.value,f=this.notations[l];!f.renderChild&&f.renderer(this,o)}}catch(t){r={error:t}}finally{try{h&&!h.done&&(e=d.return)&&e.call(d)}finally{if(r)throw r.error}}},r.prototype.arrow=function(t,r,e,o,n){void 0===o&&(o=\"\"),void 0===n&&(n=0);var i=this.getBBox(),s=i.w,a=(t-s)/2,h=(i.h-i.d)/2,l=this.thickness,f=l/2,u=d([l*this.arrowhead.x,l*this.arrowhead.y,l*this.arrowhead.dx],3),p=u[0],c=u[1],x=u[2],g=e?this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",p-a,h+f,\"l\",x,c-f,\"l\",-(p+x),-c,\"l\",p+x,-c,\"l\",-x,c-f,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"):this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",-a,h+f,\"l\",0,-l,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"),v=[];if(n&&v.push(\"X\"===o?\"translate(\"+this.fixed(-n)+\" 0)\":\"translate(0 \"+this.fixed(n)+\")\"),r){var w=this.jax.fixed(180*-r/Math.PI);v.push(\"rotate(\"+w+\" \"+this.fixed(s/2)+\" \"+this.fixed(h)+\")\")}return v.length&&this.adaptor.setAttribute(g,\"transform\",v.join(\" \")),g},r.prototype.line=function(t){var r=d(t,4),e=r[0],o=r[1],n=r[2],i=r[3];return this.svg(\"line\",{x1:this.fixed(e),y1:this.fixed(o),x2:this.fixed(n),y2:this.fixed(i),\"stroke-width\":this.fixed(this.thickness)})},r.prototype.box=function(t,r,e,o){void 0===o&&(o=0);var n=this.thickness,i={x:this.fixed(n/2),y:this.fixed(n/2-e),width:this.fixed(t-n),height:this.fixed(r+e-n),fill:\"none\",\"stroke-width\":this.fixed(n)};return o&&(i.rx=this.fixed(o)),this.svg(\"rect\",i)},r.prototype.ellipse=function(t,r,e){var o=this.thickness;return this.svg(\"ellipse\",{rx:this.fixed((t-o)/2),ry:this.fixed((r+e-o)/2),cx:this.fixed(t/2),cy:this.fixed((r-e)/2),fill:\"none\",\"stroke-width\":this.fixed(o)})},r.prototype.path=function(t){for(var r=this,e=[],o=1;o<arguments.length;o++)e[o-1]=arguments[o];return this.svg(\"path\",{d:e.map((function(t){return\"string\"==typeof t?t:r.fixed(t)})).join(\" 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bottom\"}],[\"roundedbox\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness+t.padding;t.adaptor.append(t.element,t.box(o,n,i,s))},bbox:f.fullBBox}],[\"circle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d;t.adaptor.append(t.element,t.ellipse(o,n,i))},bbox:f.fullBBox}],[\"phasorangle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.getArgMod(1.75*t.padding,n+i)[0],a=t.thickness/2,d=n+i,h=Math.cos(s);t.adaptor.append(t.element,t.path(\"mitre\",\"M\",o,a-i,\"L\",a+h*a,a-i,\"L\",h*d+a,d-i-a))},bbox:function(t){var r=t.padding/2,e=t.thickness;return[2*r,r,r+e,3*r+e]},border:function(t){return[0,0,t.thickness,0]},remove:\"bottom\"}],f.Arrow(\"up\"),f.Arrow(\"down\"),f.Arrow(\"left\"),f.Arrow(\"right\"),f.Arrow(\"updown\"),f.Arrow(\"leftright\"),f.DiagonalArrow(\"updiagonal\"),f.DiagonalArrow(\"northeast\"),f.DiagonalArrow(\"southeast\"),f.DiagonalArrow(\"northwest\"),f.DiagonalArrow(\"southwest\"),f.DiagonalArrow(\"northeastsouthwest\"),f.DiagonalArrow(\"northwestsoutheast\"),[\"longdiv\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness/2,a=t.padding;t.adaptor.append(t.element,t.path(\"round\",\"M\",s,s-i,\"a\",a-s/2,(n+i)/2-4*s,0,\"0,1\",0,n+i-2*s,\"L\",o-s,n-s))},bbox:function(t){var r=t.padding,e=t.thickness;return[r+e,r,r,2*r+e/2]}}],[\"radical\",{renderer:function(t,r){t.msqrt.toSVG(r);var e=t.sqrtTRBL()[3];t.place(-e,0,r)},init:function(t){t.msqrt=t.createMsqrt(t.childNodes[0])},bbox:function(t){return t.sqrtTRBL()},renderChild:!0}]]),r}(l.CommonMencloseMixin(h.SVGWrapper));e.SVGmenclose=p},\n      642: function _(t,r,e,o,n){var i,a=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return a},h=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var d=t(643),c=t(526);e.CommonMencloseMixin=function(t){return function(t){function r(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];var o=t.apply(this,h([],s(r)))||this;return o.notations={},o.renderChild=null,o.msqrt=null,o.padding=d.PADDING,o.thickness=d.THICKNESS,o.arrowhead={x:d.ARROWX,y:d.ARROWY,dx:d.ARROWDX},o.TRBL=[0,0,0,0],o.getParameters(),o.getNotations(),o.removeRedundantNotations(),o.initializeNotations(),o.TRBL=o.getBBoxExtenders(),o}return a(r,t),r.prototype.getParameters=function(){var t=this.node.attributes,r=t.get(\"data-padding\");void 0!==r&&(this.padding=this.length2em(r,d.PADDING));var e=t.get(\"data-thickness\");void 0!==e&&(this.thickness=this.length2em(e,d.THICKNESS));var o=t.get(\"data-arrowhead\");if(void 0!==o){var n=s(c.split(o),3),i=n[0],a=n[1],h=n[2];this.arrowhead={x:i?parseFloat(i):d.ARROWX,y:a?parseFloat(a):d.ARROWY,dx:h?parseFloat(h):d.ARROWDX}}},r.prototype.getNotations=function(){var t,r,e=this.constructor.notations;try{for(var o=l(c.split(this.node.attributes.get(\"notation\"))),n=o.next();!n.done;n=o.next()){var i=n.value,a=e.get(i);a&&(this.notations[i]=a,a.renderChild&&(this.renderChild=a.renderer))}}catch(r){t={error:r}}finally{try{n&&!n.done&&(r=o.return)&&r.call(o)}finally{if(t)throw t.error}}},r.prototype.removeRedundantNotations=function(){var t,r,e,o;try{for(var n=l(Object.keys(this.notations)),i=n.next();!i.done;i=n.next()){var a=i.value;if(this.notations[a]){var s=this.notations[a].remove||\"\";try{for(var h=(e=void 0,l(s.split(/ /))),d=h.next();!d.done;d=h.next()){var c=d.value;delete 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t=s([this.padding,this.thickness],2),r=t[0],e=t[1]*(this.arrowhead.x+Math.max(1,this.arrowhead.dx)),o=this.childNodes[0].getBBox(),n=o.h,i=o.d,a=o.w,h=n+i,l=Math.sqrt(h*h+a*a),d=Math.max(r,e*a/l),c=Math.max(r,e*h/l),u=s(this.getArgMod(a+2*d,h+2*c),2);return{a:u[0],W:u[1],x:d,y:c}},r.prototype.arrowAW=function(){var t=this.childNodes[0].getBBox(),r=t.h,e=t.d,o=t.w,n=s(this.TRBL,4),i=n[0],a=n[1],h=n[2],l=n[3];return this.getArgMod(l+o+a,i+r+e+h)},r.prototype.createMsqrt=function(t){var r=this.node.factory.create(\"msqrt\");r.inheritAttributesFrom(this.node),r.childNodes[0]=t.node;var e=this.wrap(r);return e.parent=this,e},r.prototype.sqrtTRBL=function(){var t=this.msqrt.getBBox(),r=this.msqrt.childNodes[0].getBBox();return[t.h-r.h,0,t.d-r.d,t.w-r.w]},r}(t)}},\n      643: function _(r,o,n,t,a){var e=this&&this.__read||function(r,o){var n=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!n)return r;var t,a,e=n.call(r),i=[];try{for(;(void 0===o||o-- 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o},n.arrowDef={up:[-Math.PI/2,!1,!0,\"verticalstrike\"],down:[Math.PI/2,!1,!0,\"verticakstrike\"],right:[0,!1,!1,\"horizontalstrike\"],left:[Math.PI,!1,!1,\"horizontalstrike\"],updown:[Math.PI/2,!0,!0,\"verticalstrike uparrow downarrow\"],leftright:[0,!0,!1,\"horizontalstrike leftarrow rightarrow\"]},n.diagonalArrowDef={updiagonal:[-1,0,!1,\"updiagonalstrike northeastarrow\"],northeast:[-1,0,!1,\"updiagonalstrike updiagonalarrow\"],southeast:[1,0,!1,\"downdiagonalstrike\"],northwest:[1,Math.PI,!1,\"downdiagonalstrike\"],southwest:[-1,Math.PI,!1,\"updiagonalstrike\"],northeastsouthwest:[-1,0,!0,\"updiagonalstrike northeastarrow updiagonalarrow southwestarrow\"],northwestsoutheast:[1,0,!0,\"downdiagonalstrike northwestarrow southeastarrow\"]},n.arrowBBox={up:function(r){return n.arrowBBoxW(r,[n.arrowHead(r),0,r.padding,0])},down:function(r){return n.arrowBBoxW(r,[r.padding,0,n.arrowHead(r),0])},right:function(r){return 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r)Object.prototype.hasOwnProperty.call(r,n)&&(t[n]=r[n])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}),l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,n=r&&t[r],e=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},s=this&&this.__read||function(t,r){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var e,o,i=n.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(t){o={error:t}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__spreadArray||function(t,r){for(var n=0,e=r.length,o=t.length;n<e;n++,o++)t[o]=r[n];return t};e();var f=function(){function t(){this.bits=0}return t.allocate=function(){for(var r,n,e=[],o=0;o<arguments.length;o++)e[o]=arguments[o];try{for(var i=l(e),a=i.next();!a.done;a=i.next()){var s=a.value;if(this.has(s))throw new Error(\"Bit already allocated for \"+s);if(this.next===t.MAXBIT)throw new Error(\"Maximum number of bits already allocated\");this.names.set(s,this.next),this.next<<=1}}catch(t){r={error:t}}finally{try{a&&!a.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}},t.has=function(t){return this.names.has(t)},t.prototype.set=function(t){this.bits|=this.getBit(t)},t.prototype.clear=function(t){this.bits&=~this.getBit(t)},t.prototype.isSet=function(t){return!!(this.bits&this.getBit(t))},t.prototype.reset=function(){this.bits=0},t.prototype.getBit=function(t){var r=this.constructor.names.get(t);if(!r)throw new Error(\"Unknown bit-field name: \"+t);return r},t.MAXBIT=1<<31,t.next=1,t.names=new Map,t}();n.BitField=f,n.BitFieldClass=function(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var n=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return a(r,t),r}(f);return n.allocate.apply(n,u([],s(t))),n}},\n      727: function _(t,e,r,n,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)a.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var h=t(716),c=t(522),d=t(728),p=t(729),f=t(730),y=t(527),m=function(t){function e(e,r,n){var o=this,i=l(c.separateOptions(n,f.HTMLDomStrings.OPTIONS),2),a=i[0],s=i[1];return(o=t.call(this,e,r,a)||this).domStrings=o.options.DomStrings||new f.HTMLDomStrings(s),o.domStrings.adaptor=r,o.styles=[],o}return a(e,t),e.prototype.findPosition=function(t,e,r,n){var o,i,a=this.adaptor;try{for(var s=u(n[t]),h=s.next();!h.done;h=s.next()){var c=h.value,d=l(c,2),p=d[0],f=d[1];if(e<=f&&\"#text\"===a.kind(p))return{node:p,n:Math.max(e,0),delim:r};e-=f}}catch(t){o={error:t}}finally{try{h&&!h.done&&(i=s.return)&&i.call(s)}finally{if(o)throw o.error}}return{node:null,n:0,delim:r}},e.prototype.mathItem=function(t,e,r){var n=t.math,o=this.findPosition(t.n,t.start.n,t.open,r),i=this.findPosition(t.n,t.end.n,t.close,r);return new this.options.MathItem(n,e,t.display,o,i)},e.prototype.findMath=function(t){var e,r,n,o,i,a,s,h,d;if(!this.processed.isSet(\"findMath\")){this.adaptor.document=this.document,t=c.userOptions({elements:this.options.elements||[this.adaptor.body(this.document)]},t);try{for(var p=u(this.adaptor.getElements(t.elements,this.document)),f=p.next();!f.done;f=p.next()){var y=f.value,m=l([null,null],2),v=m[0],S=m[1];try{for(var g=(n=void 0,u(this.inputJax)),x=g.next();!x.done;x=g.next()){var M=x.value,T=new this.options.MathList;if(M.processStrings){null===v&&(v=(i=l(this.domStrings.find(y),2))[0],S=i[1]);try{for(var b=(a=void 0,u(M.findMath(v))),w=b.next();!w.done;w=b.next()){var O=w.value;T.push(this.mathItem(O,M,S))}}catch(t){a={error:t}}finally{try{w&&!w.done&&(s=b.return)&&s.call(b)}finally{if(a)throw a.error}}}else try{for(var D=(h=void 0,u(M.findMath(y))),E=D.next();!E.done;E=D.next()){O=E.value;var _=new this.options.MathItem(O.math,M,O.display,O.start,O.end);T.push(_)}}catch(t){h={error:t}}finally{try{E&&!E.done&&(d=D.return)&&d.call(D)}finally{if(h)throw h.error}}this.math.merge(T)}}catch(t){n={error:t}}finally{try{x&&!x.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}}}catch(t){e={error:t}}finally{try{f&&!f.done&&(r=p.return)&&r.call(p)}finally{if(e)throw e.error}}this.processed.set(\"findMath\")}return this},e.prototype.updateDocument=function(){return this.processed.isSet(\"updateDocument\")||(this.addPageElements(),this.addStyleSheet(),t.prototype.updateDocument.call(this),this.processed.set(\"updateDocument\")),this},e.prototype.addPageElements=function(){var t=this.adaptor.body(this.document),e=this.documentPageElements();e&&this.adaptor.append(t,e)},e.prototype.addStyleSheet=function(){var t=this.documentStyleSheet(),e=this.adaptor;if(t&&!e.parent(t)){var r=e.head(this.document),n=this.findSheet(r,e.getAttribute(t,\"id\"));n?e.replace(t,n):e.append(r,t)}},e.prototype.findSheet=function(t,e){var r,n;if(e)try{for(var o=u(this.adaptor.tags(t,\"style\")),i=o.next();!i.done;i=o.next()){var a=i.value;if(this.adaptor.getAttribute(a,\"id\")===e)return a}}catch(t){r={error:t}}finally{try{i&&!i.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}return null},e.prototype.removeFromDocument=function(t){var e,r;if(void 0===t&&(t=!1),this.processed.isSet(\"updateDocument\"))try{for(var n=u(this.math),o=n.next();!o.done;o=n.next()){var i=o.value;i.state()>=y.STATE.INSERTED&&i.state(y.STATE.TYPESET,t)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this.processed.clear(\"updateDocument\"),this},e.prototype.documentStyleSheet=function(){return this.outputJax.styleSheet(this)},e.prototype.documentPageElements=function(){return this.outputJax.pageElements(this)},e.prototype.addStyles=function(t){this.styles.push(t)},e.prototype.getStyles=function(){return this.styles},e.KIND=\"HTML\",e.OPTIONS=s(s({},h.AbstractMathDocument.OPTIONS),{renderActions:c.expandable(s(s({},h.AbstractMathDocument.OPTIONS.renderActions),{styles:[y.STATE.INSERTED+1,\"\",\"updateStyleSheet\",!1]})),MathList:p.HTMLMathList,MathItem:d.HTMLMathItem,DomStrings:null}),e}(h.AbstractMathDocument);r.HTMLDocument=m},\n      728: function _(t,e,n,s,i){var o,r=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof 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e=this.start.node;if(e===this.end.node)this.end.n&&this.end.n<this.adaptor.value(this.end.node).length&&this.adaptor.split(this.end.node,this.end.n),this.start.n&&(e=this.adaptor.split(this.start.node,this.start.n)),this.adaptor.replace(this.typesetRoot,e);else{for(this.start.n&&(e=this.adaptor.split(e,this.start.n));e!==this.end.node;){var n=this.adaptor.next(e);this.adaptor.remove(e),e=n}this.adaptor.insert(this.typesetRoot,e),this.end.n<this.adaptor.value(e).length&&this.adaptor.split(e,this.end.n),this.adaptor.remove(e)}}else this.adaptor.replace(this.typesetRoot,this.start.node);this.start.node=this.end.node=this.typesetRoot,this.start.n=this.end.n=0,this.state(a.STATE.INSERTED)}},e.prototype.updateStyleSheet=function(t){t.addStyleSheet()},e.prototype.removeFromDocument=function(t){if(void 0===t&&(t=!1),this.state()>=a.STATE.TYPESET){var e=this.adaptor,n=this.start.node,s=e.text(\"\");if(t){var 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i=this.adaptor.getAttribute(t,\"class\")||\"\",n=this.adaptor.kind(t)||\"\",r=this.processHtmlClass.exec(i),e=t;return!this.adaptor.firstChild(t)||this.adaptor.getAttribute(t,\"data-MJX\")||!r&&this.skipHtmlTags.exec(n)?e=this.adaptor.next(t):(this.adaptor.next(t)&&this.stack.push([this.adaptor.next(t),s]),e=this.adaptor.firstChild(t),s=(s||this.ignoreHtmlClass.exec(i))&&!r),[e,s]},t.prototype.handleOther=function(t,s){return this.pushString(),this.adaptor.next(t)},t.prototype.find=function(t){var s,i;this.init();for(var n=this.adaptor.next(t),r=!1,o=this.options.includeHtmlTags;t&&t!==n;){var a=this.adaptor.kind(t);\"#text\"===a?t=this.handleText(t,r):o.hasOwnProperty(a)?t=this.handleTag(t,r):a?(t=(s=e(this.handleContainer(t,r),2))[0],r=s[1]):t=this.handleOther(t,r),!t&&this.stack.length&&(this.pushString(),t=(i=e(this.stack.pop(),2))[0],r=i[1])}this.pushString();var h=[this.strings,this.nodes];return this.init(),h},t.OPTIONS={skipHtmlTags:[\"script\",\"noscript\",\"style\",\"textarea\",\"pre\",\"code\",\"annotation\",\"annotation-xml\"],includeHtmlTags:{br:\"\\n\",wbr:\"\",\"#comment\":\"\"},ignoreHtmlClass:\"mathjax_ignore\",processHtmlClass:\"mathjax_process\"},t}();i.HTMLDomStrings=a},\n      731: function _(e,t,o,x,a){x(),e(549),e(732),e(733),e(737),e(740),e(741),e(742),e(746),e(751),e(753),e(755),e(756),e(760),e(761),e(762),e(766),e(752),e(767),e(770),e(771),e(773),e(779),e(768),e(781),e(782),e(783),e(787),e(788),e(789),e(793),e(795),e(796),e(797),\"undefined\"!=typeof MathJax&&MathJax.loader&&MathJax.loader.preLoad(\"[tex]/action\",\"[tex]/ams\",\"[tex]/amscd\",\"[tex]/bbox\",\"[tex]/boldsymbol\",\"[tex]/braket\",\"[tex]/bussproofs\",\"[tex]/cancel\",\"[tex]/cases\",\"[tex]/centernot\",\"[tex]/color\",\"[tex]/colorv2\",\"[tex]/colortbl\",\"[tex]/empheq\",\"[tex]/enclose\",\"[tex]/extpfeil\",\"[tex]/gensymb\",\"[tex]/html\",\"[tex]/mathtools\",\"[tex]/mhchem\",\"[tex]/newcommand\",\"[tex]/noerrors\",\"[tex]/noundefined\",\"[tex]/physics\",\"[tex]/upgreek\",\"[tex]/unicode\",\"[tex]/verb\",\"[tex]/configmacros\",\"[tex]/tagformat\",\"[tex]/textcomp\",\"[tex]/textmacros\",\"[tex]/setoptions\"),o.AllPackages=[\"base\",\"action\",\"ams\",\"amscd\",\"bbox\",\"boldsymbol\",\"braket\",\"bussproofs\",\"cancel\",\"cases\",\"centernot\",\"color\",\"colortbl\",\"empheq\",\"enclose\",\"extpfeil\",\"gensymb\",\"html\",\"mathtools\",\"mhchem\",\"newcommand\",\"noerrors\",\"noundefined\",\"upgreek\",\"unicode\",\"verb\",\"configmacros\",\"tagformat\",\"textcomp\",\"textmacros\"]},\n      732: function _(t,o,a,n,e){n();var i=t(547),c=t(535),r=t(550),g=t(555);a.ActionMethods={},a.ActionMethods.Macro=g.default.Macro,a.ActionMethods.Toggle=function(t,o){for(var a,n=[];\"\\\\endtoggle\"!==(a=t.GetArgument(o));)n.push(new c.default(a,t.stack.env,t.configuration).mml());t.Push(t.create(\"node\",\"maction\",n,{actiontype:\"toggle\"}))},a.ActionMethods.Mathtip=function(t,o){var a=t.ParseArg(o),n=t.ParseArg(o);t.Push(t.create(\"node\",\"maction\",[a,n],{actiontype:\"tooltip\"}))},new r.CommandMap(\"action-macros\",{toggle:\"Toggle\",mathtip:\"Mathtip\",texttip:[\"Macro\",\"\\\\mathtip{#1}{\\\\text{#2}}\",2]},a.ActionMethods),a.ActionConfiguration=i.Configuration.create(\"action\",{handler:{macro:[\"action-macros\"]}})},\n      733: function _(t,n,o,i,e){var r,a,s=this&&this.__extends||(r=function(t,n){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},r(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});i();var l=t(547),m=t(734),p=t(546),u=t(735);t(736);var c=t(550),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n}(p.AbstractTags);o.AmsTags=h;o.AmsConfiguration=l.Configuration.create(\"ams\",{handler:{delimiter:[\"AMSsymbols-delimiter\",\"AMSmath-delimiter\"],macro:[\"AMSsymbols-mathchar0mi\",\"AMSsymbols-mathchar0mo\",\"AMSsymbols-delimiter\",\"AMSsymbols-macros\",\"AMSmath-mathchar0mo\",\"AMSmath-macros\",\"AMSmath-delimiter\"],environment:[\"AMSmath-environment\"]},items:(a={},a[m.MultlineItem.prototype.kind]=m.MultlineItem,a[m.FlalignItem.prototype.kind]=m.FlalignItem,a),tags:{ams:h},init:function(t){new c.CommandMap(u.NEW_OPS,{},{}),t.append(l.Configuration.local({handler:{macro:[u.NEW_OPS]},priority:-1}))},config:function(t,n){n.parseOptions.options.multlineWidth&&(n.parseOptions.options.ams.multlineWidth=n.parseOptions.options.multlineWidth),delete n.parseOptions.options.multlineWidth},options:{multlineWidth:\"\",ams:{multlineWidth:\"100%\",multlineIndent:\"1em\"}}})},\n      734: function _(t,e,n,r,i){var o,a=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},l.apply(this,arguments)};r();var s=t(552),h=t(536),u=t(532),d=t(537),c=t(554),f=function(t){function e(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];var i=t.call(this,e)||this;return i.factory.configuration.tags.start(\"multline\",!0,n[0]),i}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"multline\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.table.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.getProperty(\"shove\"),e=this.create(\"node\",\"mtd\",this.nodes,t?{columnalign:t}:{});this.setProperty(\"shove\",null),this.row.push(e),this.Clear()},e.prototype.EndRow=function(){if(1!==this.row.length)throw new d.default(\"MultlineRowsOneCol\",\"The rows within the %1 environment must have exactly one column\",\"multline\");var t=this.create(\"node\",\"mtr\",this.row);this.table.push(t),this.row=[]},e.prototype.EndTable=function(){if(t.prototype.EndTable.call(this),this.table.length){var e=this.table.length-1,n=-1;u.default.getAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\",c.TexConstant.Align.LEFT),u.default.getAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\",c.TexConstant.Align.RIGHT);var r=this.factory.configuration.tags.getTag();if(r){n=this.arraydef.side===c.TexConstant.Align.LEFT?0:this.table.length-1;var i=this.table[n],o=this.create(\"node\",\"mlabeledtr\",[r].concat(u.default.getChildren(i)));u.default.copyAttributes(i,o),this.table[n]=o}}this.factory.configuration.tags.end()},e}(s.ArrayItem);n.MultlineItem=f;var p=function(t){function e(e,n,r,i,o){var a=t.call(this,e)||this;return a.name=n,a.numbered=r,a.padded=i,a.center=o,a.factory.configuration.tags.start(n,r,r),a}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"flalign\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){t.prototype.EndEntry.call(this);var e=this.getProperty(\"xalignat\");if(e&&this.row.length>e)throw new d.default(\"XalignOverflow\",\"Extra %1 in row of %2\",\"&\",this.name)},e.prototype.EndRow=function(){for(var e,n=this.row,r=this.getProperty(\"xalignat\");n.length<r;)n.push(this.create(\"node\",\"mtd\"));for(this.row=[],this.padded&&this.row.push(this.create(\"node\",\"mtd\"));e=n.shift();)this.row.push(e),(e=n.shift())&&this.row.push(e),(n.length||this.padded)&&this.row.push(this.create(\"node\",\"mtd\"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),t.prototype.EndRow.call(this);var i=this.table[this.table.length-1];if(this.getProperty(\"zeroWidthLabel\")&&i.isKind(\"mlabeledtr\")){var o=u.default.getChildren(i)[0],a=this.factory.configuration.options.tagSide,s=l({width:0},\"right\"===a?{lspace:\"-1width\"}:{}),h=this.create(\"node\",\"mpadded\",u.default.getChildren(o),s);o.setChildren([h])}},e.prototype.EndTable=function(){(t.prototype.EndTable.call(this),this.center)&&(this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign))},e}(s.EqnArrayItem);n.FlalignItem=p},\n      735: function _(e,t,a,n,r){n();var i=e(536),s=e(532),l=e(554),o=e(535),d=e(537),m=e(551),u=e(555),c=e(529);a.AmsMethods={},a.AmsMethods.AmsEqnArray=function(e,t,a,n,r,s,l){var o=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\"),d=u.default.EqnArray(e,t,a,n,r,s,l);return i.default.setArrayAlign(d,o)},a.AmsMethods.AlignAt=function(e,t,n,r){var s,l,o=t.getName(),m=\"\",u=[];if(r||(l=e.GetBrackets(\"\\\\begin{\"+o+\"}\")),(s=e.GetArgument(\"\\\\begin{\"+o+\"}\")).match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+o+\"}\");for(var c=parseInt(s,10);c>0;)m+=\"rl\",u.push(\"0em 0em\"),c--;var f=u.join(\" \");if(r)return a.AmsMethods.EqnArray(e,t,n,r,m,f);var g=a.AmsMethods.EqnArray(e,t,n,r,m,f);return i.default.setArrayAlign(g,l)},a.AmsMethods.Multline=function(e,t,a){e.Push(t),i.default.checkEqnEnv(e);var n=e.itemFactory.create(\"multline\",a,e.stack);return n.arraydef={displaystyle:!0,rowspacing:\".5em\",columnspacing:\"100%\",width:e.options.ams.multlineWidth,side:e.options.tagSide,minlabelspacing:e.options.tagIndent,framespacing:e.options.ams.multlineIndent+\" 0\",frame:\"\",\"data-width-includes-label\":!0},n},a.AmsMethods.XalignAt=function(e,t,n,r){var i=e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\");if(i.match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+t.getName()+\"}\");var s=r?\"crl\":\"rlc\",l=r?\"fit auto auto\":\"auto auto fit\",o=a.AmsMethods.FlalignArray(e,t,n,r,!1,s,l,!0);return o.setProperty(\"xalignat\",2*parseInt(i)),o},a.AmsMethods.FlalignArray=function(e,t,a,n,r,s,l,o){void 0===o&&(o=!1),e.Push(t),i.default.checkEqnEnv(e),s=s.split(\"\").join(\" \").replace(/r/g,\"right\").replace(/l/g,\"left\").replace(/c/g,\"center\");var d=e.itemFactory.create(\"flalign\",t.getName(),a,n,r,e.stack);return d.arraydef={width:\"100%\",displaystyle:!0,columnalign:s,columnspacing:\"0em\",columnwidth:l,rowspacing:\"3pt\",side:e.options.tagSide,minlabelspacing:o?\"0\":e.options.tagIndent,\"data-width-includes-label\":!0},d.setProperty(\"zeroWidthLabel\",o),d},a.NEW_OPS=\"ams-declare-ops\",a.AmsMethods.HandleDeclareOp=function(e,t){var n=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",r=i.default.trimSpaces(e.GetArgument(t));\"\\\\\"===r.charAt(0)&&(r=r.substr(1));var s=e.GetArgument(t);s.match(/\\\\text/)||(s=s.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.configuration.handlers.retrieve(a.NEW_OPS).add(r,new m.Macro(r,a.AmsMethods.Macro,[\"\\\\mathop{\\\\rm \"+s+\"}\"+n]))},a.AmsMethods.HandleOperatorName=function(e,t){var a=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",n=i.default.trimSpaces(e.GetArgument(t));n.match(/\\\\text/)||(n=n.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.string=\"\\\\mathop{\\\\rm \"+n+\"}\"+a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.SkipLimits=function(e,t){var a=e.GetNext(),n=e.i;\"\\\\\"===a&&++e.i&&\"limits\"!==e.GetCS()&&(e.i=n)},a.AmsMethods.MultiIntegral=function(e,t,a){var n=e.GetNext();if(\"\\\\\"===n){var r=e.i;n=e.GetArgument(t),e.i=r,\"\\\\limits\"===n&&(a=\"\\\\idotsint\"===t?\"\\\\!\\\\!\\\\mathop{\\\\,\\\\,\"+a+\"}\":\"\\\\!\\\\!\\\\!\\\\mathop{\\\\,\\\\,\\\\,\"+a+\"}\")}e.string=a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.xArrow=function(e,t,a,n,r){var l={width:\"+\"+i.default.Em((n+r)/18),lspace:i.default.Em(n/18)},d=e.GetBrackets(t),m=e.ParseArg(t),u=e.create(\"node\",\"mspace\",[],{depth:\".25em\"}),f=e.create(\"token\",\"mo\",{stretchy:!0,texClass:c.TEXCLASS.REL},String.fromCodePoint(a));f=e.create(\"node\",\"mstyle\",[f],{scriptlevel:0});var g=e.create(\"node\",\"munderover\",[f]),A=e.create(\"node\",\"mpadded\",[m,u],l);if(s.default.setAttribute(A,\"voffset\",\"-.2em\"),s.default.setAttribute(A,\"height\",\"-.2em\"),s.default.setChild(g,g.over,A),d){var h=new o.default(d,e.stack.env,e.configuration).mml(),p=e.create(\"node\",\"mspace\",[],{height:\".75em\"});A=e.create(\"node\",\"mpadded\",[h,p],l),s.default.setAttribute(A,\"voffset\",\".15em\"),s.default.setAttribute(A,\"depth\",\"-.15em\"),s.default.setChild(g,g.under,A)}s.default.setProperty(g,\"subsupOK\",!0),e.Push(g)},a.AmsMethods.HandleShove=function(e,t,a){var n=e.stack.Top();if(\"multline\"!==n.kind)throw new d.default(\"CommandOnlyAllowedInEnv\",\"%1 only allowed in %2 environment\",e.currentCS,\"multline\");if(n.Size())throw new d.default(\"CommandAtTheBeginingOfLine\",\"%1 must come at the beginning of the line\",e.currentCS);n.setProperty(\"shove\",a)},a.AmsMethods.CFrac=function(e,t){var a=i.default.trimSpaces(e.GetBrackets(t,\"\")),n=e.GetArgument(t),r=e.GetArgument(t),m={l:l.TexConstant.Align.LEFT,r:l.TexConstant.Align.RIGHT,\"\":\"\"},u=new o.default(\"\\\\strut\\\\textstyle{\"+n+\"}\",e.stack.env,e.configuration).mml(),c=new o.default(\"\\\\strut\\\\textstyle{\"+r+\"}\",e.stack.env,e.configuration).mml(),f=e.create(\"node\",\"mfrac\",[u,c]);if(null==(a=m[a]))throw new d.default(\"IllegalAlign\",\"Illegal alignment specified in %1\",e.currentCS);a&&s.default.setProperties(f,{numalign:a,denomalign:a}),e.Push(f)},a.AmsMethods.Genfrac=function(e,t,a,n,r,l){null==a&&(a=e.GetDelimiterArg(t)),null==n&&(n=e.GetDelimiterArg(t)),null==r&&(r=e.GetArgument(t)),null==l&&(l=i.default.trimSpaces(e.GetArgument(t)));var o=e.ParseArg(t),m=e.ParseArg(t),u=e.create(\"node\",\"mfrac\",[o,m]);if(\"\"!==r&&s.default.setAttribute(u,\"linethickness\",r),(a||n)&&(s.default.setProperty(u,\"withDelims\",!0),u=i.default.fixedFence(e.configuration,a,u,n)),\"\"!==l){var c=parseInt(l,10),f=[\"D\",\"T\",\"S\",\"SS\"][c];if(null==f)throw new d.default(\"BadMathStyleFor\",\"Bad math style for %1\",e.currentCS);u=e.create(\"node\",\"mstyle\",[u]),\"D\"===f?s.default.setProperties(u,{displaystyle:!0,scriptlevel:0}):s.default.setProperties(u,{displaystyle:!1,scriptlevel:c-1})}e.Push(u)},a.AmsMethods.HandleTag=function(e,t){if(!e.tags.currentTag.taggable&&e.tags.env)throw new d.default(\"CommandNotAllowedInEnv\",\"%1 not allowed in %2 environment\",e.currentCS,e.tags.env);if(e.tags.currentTag.tag)throw new d.default(\"MultipleCommand\",\"Multiple %1\",e.currentCS);var a=e.GetStar(),n=i.default.trimSpaces(e.GetArgument(t));e.tags.tag(n,a)},a.AmsMethods.HandleNoTag=u.default.HandleNoTag,a.AmsMethods.HandleRef=u.default.HandleRef,a.AmsMethods.Macro=u.default.Macro,a.AmsMethods.Accent=u.default.Accent,a.AmsMethods.Tilde=u.default.Tilde,a.AmsMethods.Array=u.default.Array,a.AmsMethods.Spacer=u.default.Spacer,a.AmsMethods.NamedOp=u.default.NamedOp,a.AmsMethods.EqnArray=u.default.EqnArray,a.AmsMethods.Equation=u.default.Equation},\n      736: function _(a,r,t,e,n){e();var l=a(735),i=a(550),o=a(554),s=a(557),m=a(536),c=a(529),h=a(556);new i.CharacterMap(\"AMSmath-mathchar0mo\",s.default.mathchar0mo,{iiiint:[\"\\u2a0c\",{texClass:c.TEXCLASS.OP}]}),new i.CommandMap(\"AMSmath-macros\",{mathring:[\"Accent\",\"02DA\"],nobreakspace:\"Tilde\",negmedspace:[\"Spacer\",h.MATHSPACE.negativemediummathspace],negthickspace:[\"Spacer\",h.MATHSPACE.negativethickmathspace],idotsint:[\"MultiIntegral\",\"\\\\int\\\\cdots\\\\int\"],dddot:[\"Accent\",\"20DB\"],ddddot:[\"Accent\",\"20DC\"],sideset:[\"Macro\",\"\\\\mathop{\\\\mathop{\\\\rlap{\\\\phantom{#3}}}\\\\nolimits#1\\\\!\\\\mathop{#3}\\\\nolimits#2}\",3],boxed:[\"Macro\",\"\\\\fbox{$\\\\displaystyle{#1}$}\",1],tag:\"HandleTag\",notag:\"HandleNoTag\",eqref:[\"HandleRef\",!0],substack:[\"Macro\",\"\\\\begin{subarray}{c}#1\\\\end{subarray}\",1],injlim:[\"NamedOp\",\"inj&thinsp;lim\"],projlim:[\"NamedOp\",\"proj&thinsp;lim\"],varliminf:[\"Macro\",\"\\\\mathop{\\\\underline{\\\\mmlToken{mi}{lim}}}\"],varlimsup:[\"Macro\",\"\\\\mathop{\\\\overline{\\\\mmlToken{mi}{lim}}}\"],varinjlim:[\"Macro\",\"\\\\mathop{\\\\underrightarrow{\\\\mmlToken{mi}{lim}}}\"],varprojlim:[\"Macro\",\"\\\\mathop{\\\\underleftarrow{\\\\mmlToken{mi}{lim}}}\"],DeclareMathOperator:\"HandleDeclareOp\",operatorname:\"HandleOperatorName\",SkipLimits:\"SkipLimits\",genfrac:\"Genfrac\",frac:[\"Genfrac\",\"\",\"\",\"\",\"\"],tfrac:[\"Genfrac\",\"\",\"\",\"\",\"1\"],dfrac:[\"Genfrac\",\"\",\"\",\"\",\"0\"],binom:[\"Genfrac\",\"(\",\")\",\"0\",\"\"],tbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"1\"],dbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"0\"],cfrac:\"CFrac\",shoveleft:[\"HandleShove\",o.TexConstant.Align.LEFT],shoveright:[\"HandleShove\",o.TexConstant.Align.RIGHT],xrightarrow:[\"xArrow\",8594,5,10],xleftarrow:[\"xArrow\",8592,10,5]},l.AmsMethods),new i.EnvironmentMap(\"AMSmath-environment\",s.default.environment,{\"equation*\":[\"Equation\",null,!1],\"eqnarray*\":[\"EqnArray\",null,!1,!0,\"rcl\",m.default.cols(0,h.MATHSPACE.thickmathspace),\".5em\"],align:[\"EqnArray\",null,!0,!0,\"rl\",m.default.cols(0,2)],\"align*\":[\"EqnArray\",null,!1,!0,\"rl\",m.default.cols(0,2)],multline:[\"Multline\",null,!0],\"multline*\":[\"Multline\",null,!1],split:[\"EqnArray\",null,!1,!1,\"rl\",m.default.cols(0)],gather:[\"EqnArray\",null,!0,!0,\"c\"],\"gather*\":[\"EqnArray\",null,!1,!0,\"c\"],alignat:[\"AlignAt\",null,!0,!0],\"alignat*\":[\"AlignAt\",null,!1,!0],alignedat:[\"AlignAt\",null,!1,!1],aligned:[\"AmsEqnArray\",null,null,null,\"rl\",m.default.cols(0,2),\".5em\",\"D\"],gathered:[\"AmsEqnArray\",null,null,null,\"c\",null,\".5em\",\"D\"],xalignat:[\"XalignAt\",null,!0,!0],\"xalignat*\":[\"XalignAt\",null,!1,!0],xxalignat:[\"XalignAt\",null,!1,!1],flalign:[\"FlalignArray\",null,!0,!1,!0,\"rlc\",\"auto auto fit\"],\"flalign*\":[\"FlalignArray\",null,!1,!1,!0,\"rlc\",\"auto auto fit\"],subarray:[\"Array\",null,null,null,null,m.default.cols(0),\"0.1em\",\"S\",1],smallmatrix:[\"Array\",null,null,null,\"c\",m.default.cols(1/3),\".2em\",\"S\",1],matrix:[\"Array\",null,null,null,\"c\"],pmatrix:[\"Array\",null,\"(\",\")\",\"c\"],bmatrix:[\"Array\",null,\"[\",\"]\",\"c\"],Bmatrix:[\"Array\",null,\"\\\\{\",\"\\\\}\",\"c\"],vmatrix:[\"Array\",null,\"\\\\vert\",\"\\\\vert\",\"c\"],Vmatrix:[\"Array\",null,\"\\\\Vert\",\"\\\\Vert\",\"c\"],cases:[\"Array\",null,\"\\\\{\",\".\",\"ll\",null,\".2em\",\"T\"]},l.AmsMethods),new i.DelimiterMap(\"AMSmath-delimiter\",s.default.delimiter,{\"\\\\lvert\":[\"|\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rvert\":[\"|\",{texClass:c.TEXCLASS.CLOSE}],\"\\\\lVert\":[\"\\u2016\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rVert\":[\"\\u2016\",{texClass:c.TEXCLASS.CLOSE}]}),new i.CharacterMap(\"AMSsymbols-mathchar0mi\",s.default.mathchar0mi,{digamma:\"\\u03dd\",varkappa:\"\\u03f0\",varGamma:[\"\\u0393\",{mathvariant:o.TexConstant.Variant.ITALIC}],varDelta:[\"\\u0394\",{mathvariant:o.TexConstant.Variant.ITALIC}],varTheta:[\"\\u0398\",{mathvariant:o.TexConstant.Variant.ITALIC}],varLambda:[\"\\u039b\",{mathvariant:o.TexConstant.Variant.ITALIC}],varXi:[\"\\u039e\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPi:[\"\\u03a0\",{mathvariant:o.TexConstant.Variant.ITALIC}],varSigma:[\"\\u03a3\",{mathvariant:o.TexConstant.Variant.ITALIC}],varUpsilon:[\"\\u03a5\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPhi:[\"\\u03a6\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPsi:[\"\\u03a8\",{mathvariant:o.TexConstant.Variant.ITALIC}],varOmega:[\"\\u03a9\",{mathvariant:o.TexConstant.Variant.ITALIC}],beth:\"\\u2136\",gimel:\"\\u2137\",daleth:\"\\u2138\",backprime:[\"\\u2035\",{variantForm:!0}],hslash:\"\\u210f\",varnothing:[\"\\u2205\",{variantForm:!0}],blacktriangle:\"\\u25b4\",triangledown:[\"\\u25bd\",{variantForm:!0}],blacktriangledown:\"\\u25be\",square:\"\\u25fb\",Box:\"\\u25fb\",blacksquare:\"\\u25fc\",lozenge:\"\\u25ca\",Diamond:\"\\u25ca\",blacklozenge:\"\\u29eb\",circledS:[\"\\u24c8\",{mathvariant:o.TexConstant.Variant.NORMAL}],bigstar:\"\\u2605\",sphericalangle:\"\\u2222\",measuredangle:\"\\u2221\",nexists:\"\\u2204\",complement:\"\\u2201\",mho:\"\\u2127\",eth:[\"\\xf0\",{mathvariant:o.TexConstant.Variant.NORMAL}],Finv:\"\\u2132\",diagup:\"\\u2571\",Game:\"\\u2141\",diagdown:\"\\u2572\",Bbbk:[\"k\",{mathvariant:o.TexConstant.Variant.DOUBLESTRUCK}],yen:\"\\xa5\",circledR:\"\\xae\",checkmark:\"\\u2713\",maltese:\"\\u2720\"}),new i.CharacterMap(\"AMSsymbols-mathchar0mo\",s.default.mathchar0mo,{dotplus:\"\\u2214\",ltimes:\"\\u22c9\",smallsetminus:[\"\\u2216\",{variantForm:!0}],rtimes:\"\\u22ca\",Cap:\"\\u22d2\",doublecap:\"\\u22d2\",leftthreetimes:\"\\u22cb\",Cup:\"\\u22d3\",doublecup:\"\\u22d3\",rightthreetimes:\"\\u22cc\",barwedge:\"\\u22bc\",curlywedge:\"\\u22cf\",veebar:\"\\u22bb\",curlyvee:\"\\u22ce\",doublebarwedge:\"\\u2a5e\",boxminus:\"\\u229f\",circleddash:\"\\u229d\",boxtimes:\"\\u22a0\",circledast:\"\\u229b\",boxdot:\"\\u22a1\",circledcirc:\"\\u229a\",boxplus:\"\\u229e\",centerdot:[\"\\u22c5\",{variantForm:!0}],divideontimes:\"\\u22c7\",intercal:\"\\u22ba\",leqq:\"\\u2266\",geqq:\"\\u2267\",leqslant:\"\\u2a7d\",geqslant:\"\\u2a7e\",eqslantless:\"\\u2a95\",eqslantgtr:\"\\u2a96\",lesssim:\"\\u2272\",gtrsim:\"\\u2273\",lessapprox:\"\\u2a85\",gtrapprox:\"\\u2a86\",approxeq:\"\\u224a\",lessdot:\"\\u22d6\",gtrdot:\"\\u22d7\",lll:\"\\u22d8\",llless:\"\\u22d8\",ggg:\"\\u22d9\",gggtr:\"\\u22d9\",lessgtr:\"\\u2276\",gtrless:\"\\u2277\",lesseqgtr:\"\\u22da\",gtreqless:\"\\u22db\",lesseqqgtr:\"\\u2a8b\",gtreqqless:\"\\u2a8c\",doteqdot:\"\\u2251\",Doteq:\"\\u2251\",eqcirc:\"\\u2256\",risingdotseq:\"\\u2253\",circeq:\"\\u2257\",fallingdotseq:\"\\u2252\",triangleq:\"\\u225c\",backsim:\"\\u223d\",thicksim:[\"\\u223c\",{variantForm:!0}],backsimeq:\"\\u22cd\",thickapprox:[\"\\u2248\",{variantForm:!0}],subseteqq:\"\\u2ac5\",supseteqq:\"\\u2ac6\",Subset:\"\\u22d0\",Supset:\"\\u22d1\",sqsubset:\"\\u228f\",sqsupset:\"\\u2290\",preccurlyeq:\"\\u227c\",succcurlyeq:\"\\u227d\",curlyeqprec:\"\\u22de\",curlyeqsucc:\"\\u22df\",precsim:\"\\u227e\",succsim:\"\\u227f\",precapprox:\"\\u2ab7\",succapprox:\"\\u2ab8\",vartriangleleft:\"\\u22b2\",lhd:\"\\u22b2\",vartriangleright:\"\\u22b3\",rhd:\"\\u22b3\",trianglelefteq:\"\\u22b4\",unlhd:\"\\u22b4\",trianglerighteq:\"\\u22b5\",unrhd:\"\\u22b5\",vDash:[\"\\u22a8\",{variantForm:!0}],Vdash:\"\\u22a9\",Vvdash:\"\\u22aa\",smallsmile:[\"\\u2323\",{variantForm:!0}],shortmid:[\"\\u2223\",{variantForm:!0}],smallfrown:[\"\\u2322\",{variantForm:!0}],shortparallel:[\"\\u2225\",{variantForm:!0}],bumpeq:\"\\u224f\",between:\"\\u226c\",Bumpeq:\"\\u224e\",pitchfork:\"\\u22d4\",varpropto:[\"\\u221d\",{variantForm:!0}],backepsilon:\"\\u220d\",blacktriangleleft:\"\\u25c2\",blacktriangleright:\"\\u25b8\",therefore:\"\\u2234\",because:\"\\u2235\",eqsim:\"\\u2242\",vartriangle:[\"\\u25b3\",{variantForm:!0}],Join:\"\\u22c8\",nless:\"\\u226e\",ngtr:\"\\u226f\",nleq:\"\\u2270\",ngeq:\"\\u2271\",nleqslant:[\"\\u2a87\",{variantForm:!0}],ngeqslant:[\"\\u2a88\",{variantForm:!0}],nleqq:[\"\\u2270\",{variantForm:!0}],ngeqq:[\"\\u2271\",{variantForm:!0}],lneq:\"\\u2a87\",gneq:\"\\u2a88\",lneqq:\"\\u2268\",gneqq:\"\\u2269\",lvertneqq:[\"\\u2268\",{variantForm:!0}],gvertneqq:[\"\\u2269\",{variantForm:!0}],lnsim:\"\\u22e6\",gnsim:\"\\u22e7\",lnapprox:\"\\u2a89\",gnapprox:\"\\u2a8a\",nprec:\"\\u2280\",nsucc:\"\\u2281\",npreceq:[\"\\u22e0\",{variantForm:!0}],nsucceq:[\"\\u22e1\",{variantForm:!0}],precneqq:\"\\u2ab5\",succneqq:\"\\u2ab6\",precnsim:\"\\u22e8\",succnsim:\"\\u22e9\",precnapprox:\"\\u2ab9\",succnapprox:\"\\u2aba\",nsim:\"\\u2241\",ncong:\"\\u2247\",nshortmid:[\"\\u2224\",{variantForm:!0}],nshortparallel:[\"\\u2226\",{variantForm:!0}],nmid:\"\\u2224\",nparallel:\"\\u2226\",nvdash:\"\\u22ac\",nvDash:\"\\u22ad\",nVdash:\"\\u22ae\",nVDash:\"\\u22af\",ntriangleleft:\"\\u22ea\",ntriangleright:\"\\u22eb\",ntrianglelefteq:\"\\u22ec\",ntrianglerighteq:\"\\u22ed\",nsubseteq:\"\\u2288\",nsupseteq:\"\\u2289\",nsubseteqq:[\"\\u2288\",{variantForm:!0}],nsupseteqq:[\"\\u2289\",{variantForm:!0}],subsetneq:\"\\u228a\",supsetneq:\"\\u228b\",varsubsetneq:[\"\\u228a\",{variantForm:!0}],varsupsetneq:[\"\\u228b\",{variantForm:!0}],subsetneqq:\"\\u2acb\",supsetneqq:\"\\u2acc\",varsubsetneqq:[\"\\u2acb\",{variantForm:!0}],varsupsetneqq:[\"\\u2acc\",{variantForm:!0}],leftleftarrows:\"\\u21c7\",rightrightarrows:\"\\u21c9\",leftrightarrows:\"\\u21c6\",rightleftarrows:\"\\u21c4\",Lleftarrow:\"\\u21da\",Rrightarrow:\"\\u21db\",twoheadleftarrow:\"\\u219e\",twoheadrightarrow:\"\\u21a0\",leftarrowtail:\"\\u21a2\",rightarrowtail:\"\\u21a3\",looparrowleft:\"\\u21ab\",looparrowright:\"\\u21ac\",leftrightharpoons:\"\\u21cb\",rightleftharpoons:[\"\\u21cc\",{variantForm:!0}],curvearrowleft:\"\\u21b6\",curvearrowright:\"\\u21b7\",circlearrowleft:\"\\u21ba\",circlearrowright:\"\\u21bb\",Lsh:\"\\u21b0\",Rsh:\"\\u21b1\",upuparrows:\"\\u21c8\",downdownarrows:\"\\u21ca\",upharpoonleft:\"\\u21bf\",upharpoonright:\"\\u21be\",downharpoonleft:\"\\u21c3\",restriction:\"\\u21be\",multimap:\"\\u22b8\",downharpoonright:\"\\u21c2\",leftrightsquigarrow:\"\\u21ad\",rightsquigarrow:\"\\u21dd\",leadsto:\"\\u21dd\",dashrightarrow:\"\\u21e2\",dashleftarrow:\"\\u21e0\",nleftarrow:\"\\u219a\",nrightarrow:\"\\u219b\",nLeftarrow:\"\\u21cd\",nRightarrow:\"\\u21cf\",nleftrightarrow:\"\\u21ae\",nLeftrightarrow:\"\\u21ce\"}),new i.DelimiterMap(\"AMSsymbols-delimiter\",s.default.delimiter,{\"\\\\ulcorner\":\"\\u231c\",\"\\\\urcorner\":\"\\u231d\",\"\\\\llcorner\":\"\\u231e\",\"\\\\lrcorner\":\"\\u231f\"}),new i.CommandMap(\"AMSsymbols-macros\",{implies:[\"Macro\",\"\\\\;\\\\Longrightarrow\\\\;\"],impliedby:[\"Macro\",\"\\\\;\\\\Longleftarrow\\\\;\"]},l.AmsMethods)},\n      737: function _(a,e,o,r,c){r();var n=a(547);a(738),o.AmsCdConfiguration=n.Configuration.create(\"amscd\",{handler:{character:[\"amscd_special\"],macro:[\"amscd_macros\"],environment:[\"amscd_environment\"]},options:{amscd:{colspace:\"5pt\",rowspace:\"5pt\",harrowsize:\"2.75em\",varrowsize:\"1.75em\",hideHorizontalLabels:!1}}})},\n      738: function _(a,n,r,e,i){e();var m=a(550),o=a(557),t=a(739);new m.EnvironmentMap(\"amscd_environment\",o.default.environment,{CD:\"CD\"},t.default),new m.CommandMap(\"amscd_macros\",{minCDarrowwidth:\"minCDarrowwidth\",minCDarrowheight:\"minCDarrowheight\"},t.default),new m.MacroMap(\"amscd_special\",{\"@\":\"arrow\"},t.default)},\n      739: function _(e,t,a,r,n){r();var i=e(535),o=e(549),c=e(529),s=e(532),l={CD:function(e,t){e.Push(t);var a=e.itemFactory.create(\"array\"),r=e.configuration.options.amscd;return a.setProperties({minw:e.stack.env.CD_minw||r.harrowsize,minh:e.stack.env.CD_minh||r.varrowsize}),a.arraydef={columnalign:\"center\",columnspacing:r.colspace,rowspacing:r.rowspace,displaystyle:!0},a},arrow:function(e,t){var a=e.string.charAt(e.i);if(!a.match(/[><VA.|=]/))return o.Other(e,t);e.i++;var r=e.stack.Top();r.isKind(\"array\")&&!r.Size()||(l.cell(e,t),r=e.stack.Top());for(var n,d=r,m=d.table.length%2==1,p=(d.row.length+(m?0:1))%2;p;)l.cell(e,t),p--;var f={minsize:d.getProperty(\"minw\"),stretchy:!0},h={minsize:d.getProperty(\"minh\"),stretchy:!0,symmetric:!0,lspace:0,rspace:0};if(\".\"===a);else if(\"|\"===a)n=e.create(\"token\",\"mo\",h,\"\\u2225\");else if(\"=\"===a)n=e.create(\"token\",\"mo\",f,\"=\");else{var 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function _(t,o,a,e,n){var r=this&&this.__values||function(t){var o=\"function\"==typeof Symbol&&Symbol.iterator,a=o&&t[o],e=0;if(a)return a.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(o?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var l=t(547),i=t(532),s=t(554),d=t(550),b=t(545),f={};function u(t,o,a,e){var n=b.NodeFactory.createToken(t,o,a,e);return\"mtext\"!==o&&t.configuration.parser.stack.env.boldsymbol&&(i.default.setProperty(n,\"fixBold\",!0),t.configuration.addNode(\"fixBold\",n)),n}function y(t){var o,a;try{for(var e=r(t.data.getList(\"fixBold\")),n=e.next();!n.done;n=e.next()){var l=n.value;if(i.default.getProperty(l,\"fixBold\")){var d=i.default.getAttribute(l,\"mathvariant\");null==d?i.default.setAttribute(l,\"mathvariant\",s.TexConstant.Variant.BOLD):i.default.setAttribute(l,\"mathvariant\",f[d]||d),i.default.removeProperties(l,\"fixBold\")}}}catch(t){o={error:t}}finally{try{n&&!n.done&&(a=e.return)&&a.call(e)}finally{if(o)throw o.error}}}f[s.TexConstant.Variant.NORMAL]=s.TexConstant.Variant.BOLD,f[s.TexConstant.Variant.ITALIC]=s.TexConstant.Variant.BOLDITALIC,f[s.TexConstant.Variant.FRAKTUR]=s.TexConstant.Variant.BOLDFRAKTUR,f[s.TexConstant.Variant.SCRIPT]=s.TexConstant.Variant.BOLDSCRIPT,f[s.TexConstant.Variant.SANSSERIF]=s.TexConstant.Variant.BOLDSANSSERIF,f[\"-tex-calligraphic\"]=\"-tex-bold-calligraphic\",f[\"-tex-oldstyle\"]=\"-tex-bold-oldstyle\",f[\"-tex-mathit\"]=s.TexConstant.Variant.BOLDITALIC,a.BoldsymbolMethods={},a.BoldsymbolMethods.Boldsymbol=function(t,o){var a=t.stack.env.boldsymbol;t.stack.env.boldsymbol=!0;var e=t.ParseArg(o);t.stack.env.boldsymbol=a,t.Push(e)},new 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n={fence:!0,stretchy:!1,symmetric:!0,texClass:a.TEXCLASS.OPEN},i=this.create(\"token\",\"mo\",n,r);n.texClass=a.TEXCLASS.CLOSE;var c=this.create(\"token\",\"mo\",n,o);return this.create(\"node\",\"mrow\",[i,e,c],{open:r,close:o,texClass:a.TEXCLASS.INNER})},e}(s.BaseItem);r.BraketItem=p},\n      744: function _(r,e,a,t,l){t();var n=r(550),g=r(745);new n.CommandMap(\"Braket-macros\",{bra:[\"Macro\",\"{\\\\langle {#1} \\\\vert}\",1],ket:[\"Macro\",\"{\\\\vert {#1} \\\\rangle}\",1],braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!1,1/0],set:[\"Braket\",\"{\",\"}\",!1,1],Bra:[\"Macro\",\"{\\\\left\\\\langle {#1} \\\\right\\\\vert}\",1],Ket:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle}\",1],Braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!0,1/0],Set:[\"Braket\",\"{\",\"}\",!0,1],ketbra:[\"Macro\",\"{\\\\vert {#1} \\\\rangle\\\\langle {#2} \\\\vert}\",2],Ketbra:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle\\\\left\\\\langle {#2} \\\\right\\\\vert}\",2],\"|\":\"Bar\"},g.default),new 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0===e&&(e=null),t.toString()+(null===e?\"\":String.fromCharCode(96+e))},e}(m.AmsTags);r.CasesTags=d,r.CasesMethods={NumCases:function(t,e){if(t.stack.env.closing===e.getName()){delete t.stack.env.closing,t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName()));var r=t.stack.Top(),n=r.Last,s=l.default.copyNode(n,t),a=r.getProperty(\"left\");return y.EmpheqUtil.left(n,s,a+\"\\\\empheqlbrace\\\\,\",t,\"numcases-left\"),t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName())),null}a=t.GetArgument(\"\\\\begin{\"+e.getName()+\"}\");e.setProperty(\"left\",a);var o=p.default.EqnArray(t,e,!0,!0,\"ll\");return o.arraydef.displaystyle=!1,o.arraydef.rowspacing=\".2em\",o.setProperty(\"numCases\",!0),t.Push(e),o},Entry:function(t,e){if(!t.stack.Top().getProperty(\"numCases\"))return p.default.Entry(t,e);t.Push(t.itemFactory.create(\"cell\").setProperties({isEntry:!0,name:e}));for(var r=t.string,n=0,s=t.i,a=r.length;s<a;){var o=r.charAt(s);if(\"{\"===o)n++,s++;else if(\"}\"===o){if(0===n)break;n--,s++}else{if(\"&\"===o&&0===n)throw new f.default(\"ExtraCasesAlignTab\",\"Extra alignment tab in text for numcase environment\");if(\"\\\\\"===o&&0===n){var i=(r.slice(s+1).match(/^[a-z]+|./i)||[])[0];if(\"\\\\\"===i||\"cr\"===i||\"end\"===i||\"label\"===i)break;s+=i.length}else s++}}var u=r.substr(t.i,s-t.i).replace(/^\\s*/,\"\");t.PushAll(l.default.internalMath(t,u,0)),t.i=s}},new c.EnvironmentMap(\"cases-env\",y.EmpheqUtil.environment,{numcases:[\"NumCases\",\"cases\"],subnumcases:[\"NumCases\",\"cases\"]},r.CasesMethods),new c.MacroMap(\"cases-macros\",{\"&\":\"Entry\"},r.CasesMethods),r.CasesConfiguration=u.Configuration.create(\"cases\",{handler:{environment:[\"cases-env\"],character:[\"cases-macros\"]},items:(o={},o[g.prototype.kind]=g,o),tags:{cases:d}})},\n      754: function _(e,t,n,r,i){var l=this&&this.__read||function(e,t){var n=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!n)return e;var r,i,l=n.call(e),o=[];try{for(;(void 0===t||t-- 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o=l.value,d=o.childNodes.length-(o.isKind(\"mlabeledtr\")?1:0);d>r&&(r=d)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(n=i.return)&&n.call(i)}finally{if(t)throw t.error}}return r},cellBlock:function(e,t,n,r){var i,l,o=n.create(\"node\",\"mpadded\",[],{height:0,depth:0,voffset:\"-1height\"}),d=new c.default(e,n.stack.env,n.configuration),s=d.mml();r&&d.configuration.tags.label&&(d.configuration.tags.currentTag.env=r,d.configuration.tags.getTag(!0));try{for(var u=a(s.isInferred?s.childNodes:[s]),h=u.next();!h.done;h=u.next()){var f=h.value;o.appendChild(f)}}catch(e){i={error:e}}finally{try{h&&!h.done&&(l=u.return)&&l.call(u)}finally{if(i)throw i.error}}return o.appendChild(n.create(\"node\",\"mphantom\",[n.create(\"node\",\"mpadded\",[t],{width:0})])),o},topRowTable:function(e,t){var n=d.default.copyNode(e,t);return n.setChildren(n.childNodes.slice(0,1)),n.attributes.set(\"align\",\"baseline 1\"),e.factory.create(\"mphantom\",{},[t.create(\"node\",\"mpadded\",[n],{width:0})])},rowspanCell:function(e,t,n,r,i){e.appendChild(r.create(\"node\",\"mpadded\",[this.cellBlock(t,d.default.copyNode(n,r),r,i),this.topRowTable(n,r)],{height:0,depth:0,voffset:\"height\"}))},left:function(e,t,n,r,i){var l,o,d;void 0===i&&(i=\"\"),e.attributes.set(\"columnalign\",\"right \"+(e.attributes.get(\"columnalign\")||\"\")),e.attributes.set(\"columnspacing\",\"0em \"+(e.attributes.get(\"columnspacing\")||\"\"));try{for(var c=a(e.childNodes.slice(0).reverse()),s=c.next();!s.done;s=c.next()){var u=s.value;d=r.create(\"node\",\"mtd\"),u.childNodes.unshift(d),u.replaceChild(d,d),u.isKind(\"mlabeledtr\")&&(u.childNodes[0]=u.childNodes[1],u.childNodes[1]=d)}}catch(e){l={error:e}}finally{try{s&&!s.done&&(o=c.return)&&o.call(c)}finally{if(l)throw l.error}}this.rowspanCell(d,n,t,r,i)},right:function(e,t,r,i,l){void 0===l&&(l=\"\"),0===e.childNodes.length&&e.appendChild(i.create(\"node\",\"mtr\"));for(var o=n.EmpheqUtil.columnCount(e),a=e.childNodes[0];a.childNodes.length<o;)a.appendChild(i.create(\"node\",\"mtd\"));var d=a.appendChild(i.create(\"node\",\"mtd\"));n.EmpheqUtil.rowspanCell(d,r,t,i,l),e.attributes.set(\"columnalign\",(e.attributes.get(\"columnalign\")||\"\").split(/ /).slice(0,o).join(\" \")+\" left\"),e.attributes.set(\"columnspacing\",(e.attributes.get(\"columnspacing\")||\"\").split(/ /).slice(0,o-1).join(\" \")+\" 0em\")},adjustTable:function(e,t){var n=e.getProperty(\"left\"),r=e.getProperty(\"right\");if(n||r){var i=e.Last,l=d.default.copyNode(i,t);n&&this.left(i,l,n,t),r&&this.right(i,l,r,t)}},allowEnv:{equation:!0,align:!0,gather:!0,flalign:!0,alignat:!0,multline:!0},checkEnv:function(e){return this.allowEnv.hasOwnProperty(e.replace(/\\*$/,\"\"))||!1}}},\n      755: function _(e,t,r,n,a){var o=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var i=e(547),c=e(535),d=e(532),l=e(550),u=e(555);function f(e){var t,r,n=e.data;try{for(var a=o(n.getList(\"centerOver\")),i=a.next();!i.done;i=a.next()){var c=i.value,l=d.default.getTexClass(c.childNodes[0].childNodes[0]);null!==l&&d.default.setProperties(c.parent.parent.parent.parent.parent.parent,{texClass:l})}}catch(e){t={error:e}}finally{try{i&&!i.done&&(r=a.return)&&r.call(a)}finally{if(t)throw t.error}}}new l.CommandMap(\"centernot\",{centerOver:\"CenterOver\",centernot:[\"Macro\",\"\\\\centerOver{#1}{{\\u29f8}}\",1]},{CenterOver:function(e,t){var r=\"{\"+e.GetArgument(t)+\"}\",n=e.ParseArg(t),a=new c.default(r,e.stack.env,e.configuration).mml(),o=e.create(\"node\",\"TeXAtom\",[new c.default(r,e.stack.env,e.configuration).mml(),e.create(\"node\",\"mpadded\",[e.create(\"node\",\"mpadded\",[n],{width:0,lspace:\"-.5width\"}),e.create(\"node\",\"mphantom\",[a])],{width:0,lspace:\"-.5width\"})]);e.configuration.addNode(\"centerOver\",a),e.Push(o)},Macro:u.default.Macro}),r.filterCenterOver=f,r.CenternotConfiguration=i.Configuration.create(\"centernot\",{handler:{macro:[\"centernot\"]},postprocessors:[f]})},\n      756: function _(o,r,l,e,n){e();var c=o(550),a=o(547),t=o(757),i=o(758);new c.CommandMap(\"color\",{color:\"Color\",textcolor:\"TextColor\",definecolor:\"DefineColor\",colorbox:\"ColorBox\",fcolorbox:\"FColorBox\"},t.ColorMethods);l.ColorConfiguration=a.Configuration.create(\"color\",{handler:{macro:[\"color\"]},options:{color:{padding:\"5px\",borderWidth:\"2px\"}},config:function(o,r){r.parseOptions.packageData.set(\"color\",{model:new i.ColorModel})}})},\n      757: function _(e,o,t,r,a){r();var n=e(532),l=e(536);function c(e){var o=\"+\"+e,t=e.replace(/^.*?([a-z]*)$/,\"$1\");return{width:\"+\"+2*parseFloat(o)+t,height:o,depth:o,lspace:e}}t.ColorMethods={},t.ColorMethods.Color=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.itemFactory.create(\"style\").setProperties({styles:{mathcolor:a}});e.stack.env.color=a,e.Push(n)},t.ColorMethods.TextColor=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.stack.env.color;e.stack.env.color=a;var l=e.ParseArg(o);n?e.stack.env.color=n:delete e.stack.env.color;var c=e.create(\"node\",\"mstyle\",[l],{mathcolor:a});e.Push(c)},t.ColorMethods.DefineColor=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=e.GetArgument(o);e.configuration.packageData.get(\"color\").model.defineColor(r,t,a)},t.ColorMethods.ColorBox=function(e,o){var t=e.GetArgument(o),r=l.default.internalMath(e,e.GetArgument(o)),a=e.configuration.packageData.get(\"color\").model,d=e.create(\"node\",\"mpadded\",r,{mathbackground:a.getColor(\"named\",t)});n.default.setProperties(d,c(e.options.color.padding)),e.Push(d)},t.ColorMethods.FColorBox=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=l.default.internalMath(e,e.GetArgument(o)),d=e.options.color,g=e.configuration.packageData.get(\"color\").model,s=e.create(\"node\",\"mpadded\",a,{mathbackground:g.getColor(\"named\",r),style:\"border: \"+d.borderWidth+\" solid \"+g.getColor(\"named\",t)});n.default.setProperties(s,c(d.padding)),e.Push(s)}},\n      758: function _(e,r,t,o,n){var l=this&&this.__values||function(e){var r=\"function\"==typeof Symbol&&Symbol.iterator,t=r&&e[r],o=0;if(t)return t.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&o>=e.length&&(e=void 0),{value:e&&e[o++],done:!e}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var a=e(537),i=e(759),u=new Map,d=function(){function e(){this.userColors=new Map}return e.prototype.normalizeColor=function(e,r){if(!e||\"named\"===e)return r;if(u.has(e))return u.get(e)(r);throw new a.default(\"UndefinedColorModel\",\"Color model '%1' not defined\",e)},e.prototype.getColor=function(e,r){return e&&\"named\"!==e?this.normalizeColor(e,r):this.getColorByName(r)},e.prototype.getColorByName=function(e){return this.userColors.has(e)?this.userColors.get(e):i.COLORS.has(e)?i.COLORS.get(e):e},e.prototype.defineColor=function(e,r,t){var o=this.normalizeColor(e,t);this.userColors.set(r,o)},e}();t.ColorModel=d,u.set(\"rgb\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"rgb\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^(\\d+(\\.\\d*)?|\\.\\d+)$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var f=parseFloat(d);if(f<0||f>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"rgb\",\"0\",\"1\");var s=Math.floor(255*f).toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"RGB\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"RGB\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^\\d+$/))throw new a.default(\"InvalidNumber\",\"Invalid number\");var f=parseInt(d);if(f>255)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"RGB\",\"0\",\"255\");var s=f.toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"gray\",(function(e){if(!e.match(/^\\s*(\\d+(\\.\\d*)?|\\.\\d+)\\s*$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var r=parseFloat(e);if(r<0||r>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"gray\",\"0\",\"1\");var t=Math.floor(255*r).toString(16);return t.length<2&&(t=\"0\"+t),\"#\"+t+t+t}))},\n      759: function _(e,n,r,l,B){l(),r.COLORS=new Map([[\"Apricot\",\"#FBB982\"],[\"Aquamarine\",\"#00B5BE\"],[\"Bittersweet\",\"#C04F17\"],[\"Black\",\"#221E1F\"],[\"Blue\",\"#2D2F92\"],[\"BlueGreen\",\"#00B3B8\"],[\"BlueViolet\",\"#473992\"],[\"BrickRed\",\"#B6321C\"],[\"Brown\",\"#792500\"],[\"BurntOrange\",\"#F7921D\"],[\"CadetBlue\",\"#74729A\"],[\"CarnationPink\",\"#F282B4\"],[\"Cerulean\",\"#00A2E3\"],[\"CornflowerBlue\",\"#41B0E4\"],[\"Cyan\",\"#00AEEF\"],[\"Dandelion\",\"#FDBC42\"],[\"DarkOrchid\",\"#A4538A\"],[\"Emerald\",\"#00A99D\"],[\"ForestGreen\",\"#009B55\"],[\"Fuchsia\",\"#8C368C\"],[\"Goldenrod\",\"#FFDF42\"],[\"Gray\",\"#949698\"],[\"Green\",\"#00A64F\"],[\"GreenYellow\",\"#DFE674\"],[\"JungleGreen\",\"#00A99A\"],[\"Lavender\",\"#F49EC4\"],[\"LimeGreen\",\"#8DC73E\"],[\"Magenta\",\"#EC008C\"],[\"Mahogany\",\"#A9341F\"],[\"Maroon\",\"#AF3235\"],[\"Melon\",\"#F89E7B\"],[\"MidnightBlue\",\"#006795\"],[\"Mulberry\",\"#A93C93\"],[\"NavyBlue\",\"#006EB8\"],[\"OliveGreen\",\"#3C8031\"],[\"Orange\",\"#F58137\"],[\"OrangeRed\",\"#ED135A\"],[\"Orchid\",\"#AF72B0\"],[\"Peach\",\"#F7965A\"],[\"Periwinkle\",\"#7977B8\"],[\"PineGreen\",\"#008B72\"],[\"Plum\",\"#92268F\"],[\"ProcessBlue\",\"#00B0F0\"],[\"Purple\",\"#99479B\"],[\"RawSienna\",\"#974006\"],[\"Red\",\"#ED1B23\"],[\"RedOrange\",\"#F26035\"],[\"RedViolet\",\"#A1246B\"],[\"Rhodamine\",\"#EF559F\"],[\"RoyalBlue\",\"#0071BC\"],[\"RoyalPurple\",\"#613F99\"],[\"RubineRed\",\"#ED017D\"],[\"Salmon\",\"#F69289\"],[\"SeaGreen\",\"#3FBC9D\"],[\"Sepia\",\"#671800\"],[\"SkyBlue\",\"#46C5DD\"],[\"SpringGreen\",\"#C6DC67\"],[\"Tan\",\"#DA9D76\"],[\"TealBlue\",\"#00AEB3\"],[\"Thistle\",\"#D883B7\"],[\"Turquoise\",\"#00B4CE\"],[\"Violet\",\"#58429B\"],[\"VioletRed\",\"#EF58A0\"],[\"White\",\"#FFFFFF\"],[\"WildStrawberry\",\"#EE2967\"],[\"Yellow\",\"#FFF200\"],[\"YellowGreen\",\"#98CC70\"],[\"YellowOrange\",\"#FAA21A\"]])},\n      760: function _(o,r,e,a,c){a();var l=o(550),n=o(547);e.ColorV2Methods={Color:function(o,r){var e=o.GetArgument(r),a=o.stack.env.color;o.stack.env.color=e;var c=o.ParseArg(r);a?o.stack.env.color=a:delete o.stack.env.color;var l=o.create(\"node\",\"mstyle\",[c],{mathcolor:e});o.Push(l)}},new l.CommandMap(\"colorv2\",{color:\"Color\"},e.ColorV2Methods),e.ColorConfiguration=n.Configuration.create(\"colorv2\",{handler:{macro:[\"colorv2\"]}})},\n      761: function _(o,t,r,e,n){var l,c=this&&this.__extends||(l=function(o,t){return l=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(o,t){o.__proto__=t}||function(o,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(o[r]=t[r])},l(o,t)},function(o,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=o}l(o,t),o.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});e();var a=o(552),i=o(547),s=o(550),u=o(537),p=function(o){function t(){var t=null!==o&&o.apply(this,arguments)||this;return t.color={cell:\"\",row:\"\",col:[]},t.hasColor=!1,t}return c(t,o),t.prototype.EndEntry=function(){o.prototype.EndEntry.call(this);var t=this.row[this.row.length-1],r=this.color.cell||this.color.row||this.color.col[this.row.length-1];r&&(t.attributes.set(\"mathbackground\",r),this.color.cell=\"\",this.hasColor=!0)},t.prototype.EndRow=function(){o.prototype.EndRow.call(this),this.color.row=\"\"},t.prototype.createMml=function(){var t=o.prototype.createMml.call(this),r=t.isKind(\"mrow\")?t.childNodes[1]:t;return r.isKind(\"menclose\")&&(r=r.childNodes[0].childNodes[0]),this.hasColor&&\"none\"===r.attributes.get(\"frame\")&&r.attributes.set(\"frame\",\"\"),t},t}(a.ArrayItem);r.ColorArrayItem=p,new s.CommandMap(\"colortbl\",{cellcolor:[\"TableColor\",\"cell\"],rowcolor:[\"TableColor\",\"row\"],columncolor:[\"TableColor\",\"col\"]},{TableColor:function(o,t,r){var 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e=t.texParser,o=e.lookup(\"macro\",a);o&&o._func!==g.TextMacrosMethods.Macro&&t.Error(\"MathMacro\",\"%1 is only supported in math mode\",\"\\\\\"+a),e.parse(\"macro\",[t,a])}},items:(n={},n[p.StartItem.prototype.kind]=p.StartItem,n[p.StopItem.prototype.kind]=p.StopItem,n[p.MmlItem.prototype.kind]=p.MmlItem,n[p.StyleItem.prototype.kind]=p.StyleItem,n)}),e.TextMacrosConfiguration=s.Configuration.create(\"textmacros\",{config:function(t,a){var e=new s.ParserConfiguration(a.parseOptions.options.textmacros.packages,[\"tex\",\"text\"]);e.init();var o=new c.default(e,[]);o.options=a.parseOptions.options,e.config(a),i.TagsFactory.addTags(e.tags),o.tags=i.TagsFactory.getDefault(),o.tags.configuration=o,o.packageData=a.parseOptions.packageData,o.packageData.set(\"textmacros\",{parseOptions:o,jax:a,texParser:null}),o.options.internalMath=x},preprocessors:[function(t){var 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e=p.create(\"token\",\"mi\",u,a.char);p.Push(e)}),{upalpha:\"\\u03b1\",upbeta:\"\\u03b2\",upgamma:\"\\u03b3\",updelta:\"\\u03b4\",upepsilon:\"\\u03f5\",upzeta:\"\\u03b6\",upeta:\"\\u03b7\",uptheta:\"\\u03b8\",upiota:\"\\u03b9\",upkappa:\"\\u03ba\",uplambda:\"\\u03bb\",upmu:\"\\u03bc\",upnu:\"\\u03bd\",upxi:\"\\u03be\",upomicron:\"\\u03bf\",uppi:\"\\u03c0\",uprho:\"\\u03c1\",upsigma:\"\\u03c3\",uptau:\"\\u03c4\",upupsilon:\"\\u03c5\",upphi:\"\\u03d5\",upchi:\"\\u03c7\",uppsi:\"\\u03c8\",upomega:\"\\u03c9\",upvarepsilon:\"\\u03b5\",upvartheta:\"\\u03d1\",upvarpi:\"\\u03d6\",upvarrho:\"\\u03f1\",upvarsigma:\"\\u03c2\",upvarphi:\"\\u03c6\",Upgamma:\"\\u0393\",Updelta:\"\\u0394\",Uptheta:\"\\u0398\",Uplambda:\"\\u039b\",Upxi:\"\\u039e\",Uppi:\"\\u03a0\",Upsigma:\"\\u03a3\",Upupsilon:\"\\u03a5\",Upphi:\"\\u03a6\",Uppsi:\"\\u03a8\",Upomega:\"\\u03a9\"}),u.UpgreekConfiguration=t.Configuration.create(\"upgreek\",{handler:{macro:[\"upgreek\"]}})},\n      796: function _(e,t,a,o,n){o();var c=e(547),r=e(537),i=e(550),d=e(536),l=e(532),u=e(538);a.UnicodeMethods={};var m={};a.UnicodeMethods.Unicode=function(e,t){var a=e.GetBrackets(t),o=null,n=null;a&&(a.replace(/ /g,\"\").match(/^(\\d+(\\.\\d*)?|\\.\\d+),(\\d+(\\.\\d*)?|\\.\\d+)$/)?(o=a.replace(/ /g,\"\").split(/,/),n=e.GetBrackets(t)):n=a);var c=d.default.trimSpaces(e.GetArgument(t)).replace(/^0x/,\"x\");if(!c.match(/^(x[0-9A-Fa-f]+|[0-9]+)$/))throw new r.default(\"BadUnicode\",\"Argument to \\\\unicode must be a number\");var i=parseInt(c.match(/^x/)?\"0\"+c:c);m[i]?n||(n=m[i][2]):m[i]=[800,200,n,i],o&&(m[i][0]=Math.floor(1e3*parseFloat(o[0])),m[i][1]=Math.floor(1e3*parseFloat(o[1])));var f=e.stack.env.font,h={};n?(m[i][2]=h.fontfamily=n.replace(/'/g,\"'\"),f&&(f.match(/bold/)&&(h.fontweight=\"bold\"),f.match(/italic|-mathit/)&&(h.fontstyle=\"italic\"))):f&&(h.mathvariant=f);var s=e.create(\"token\",\"mtext\",h,u.numeric(c));l.default.setProperty(s,\"unicode\",!0),e.Push(s)},new i.CommandMap(\"unicode\",{unicode:\"Unicode\"},a.UnicodeMethods),a.UnicodeConfiguration=c.Configuration.create(\"unicode\",{handler:{macro:[\"unicode\"]}})},\n      797: function _(e,r,t,i,n){i();var a=e(547),o=e(554),s=e(550),g=e(537);t.VerbMethods={},t.VerbMethods.Verb=function(e,r){var t=e.GetNext(),i=++e.i;if(\"\"===t)throw new g.default(\"MissingArgFor\",\"Missing argument for %1\",r);for(;e.i<e.string.length&&e.string.charAt(e.i)!==t;)e.i++;if(e.i===e.string.length)throw new g.default(\"NoClosingDelim\",\"Can't find closing delimiter for %1\",e.currentCS);var n=e.string.slice(i,e.i).replace(/ /g,\"\\xa0\");e.i++,e.Push(e.create(\"token\",\"mtext\",{mathvariant:o.TexConstant.Variant.MONOSPACE},n))},new s.CommandMap(\"verb\",{verb:\"Verb\"},t.VerbMethods),t.VerbConfiguration=a.Configuration.create(\"verb\",{handler:{macro:[\"verb\"]}})},\n      }, 514, {\"models/text/mathjax/main\":514,\"models/text/mathjax/index\":515}, {});});\n\n      /* END bokeh-mathjax.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,s,t,b,o){b();const a=(0,e(\"tslib\").__importStar)(e(\"1abe9b6912\"));t.Panel=a;(0,e(\"@bokehjs/base\").register_models)(a)},\n      \"1abe9b6912\": function _(e,a,t,c,o){c();const d=e(\"tslib\");o(\"AcePlot\",e(\"9fecc8d0f9\").AcePlot),o(\"Audio\",e(\"339f84d639\").Audio),o(\"Card\",e(\"c816112d20\").Card),o(\"CommManager\",e(\"e552778259\").CommManager),o(\"DataTabulator\",e(\"8e41f17634\").DataTabulator),o(\"DatetimePicker\",e(\"6e11b2cfe2\").DatetimePicker),o(\"DeckGLPlot\",e(\"df2378664f\").DeckGLPlot),o(\"ECharts\",e(\"9d046c4720\").ECharts),o(\"HTML\",e(\"c424a3bd17\").HTML),o(\"IDOM\",e(\"7d45bd3bc4\").IDOM),o(\"IPyWidget\",e(\"0eae77d68f\").IPyWidget),o(\"JSON\",e(\"0d30bea0c8\").JSON),o(\"FileDownload\",e(\"1767172ffa\").FileDownload),o(\"KaTeX\",e(\"7b859fb3cf\").KaTeX),o(\"Location\",e(\"642aa56b24\").Location),o(\"MathJax\",e(\"0c21036737\").MathJax),o(\"Perspective\",e(\"84a772681d\").Perspective),o(\"Player\",e(\"2e8044c920\").Player),o(\"PlotlyPlot\",e(\"cb7735fd77\").PlotlyPlot),o(\"Progress\",e(\"fd3806082d\").Progress),o(\"QuillInput\",e(\"6895629dfc\").QuillInput),o(\"ReactiveHTML\",e(\"eb3a49319b\").ReactiveHTML),o(\"SingleSelect\",e(\"5ed2116e26\").SingleSelect),o(\"SpeechToText\",e(\"aaa48703af\").SpeechToText),o(\"State\",e(\"bfa46a5f19\").State),o(\"Terminal\",e(\"edf66f5228\").Terminal),o(\"TextToSpeech\",e(\"33cd2c254e\").TextToSpeech),o(\"TrendIndicator\",e(\"effe070807\").TrendIndicator),o(\"VegaPlot\",e(\"04fd346566\").VegaPlot),o(\"Video\",e(\"ffe54b53c3\").Video),o(\"VideoStream\",e(\"e3e9b8e495\").VideoStream),(0,d.__exportStar)(e(\"c51f25e2a7\"),t)},\n      \"9fecc8d0f9\": function _(e,t,i,o,s){o();const n=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"@bokehjs/core/dom\"),d=e(\"4c755983eb\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=(0,a.div)({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\",zIndex:0}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,(()=>this._update_code_from_model())),this.connect(this.model.properties.theme.change,(()=>this._update_theme())),this.connect(this.model.properties.language.change,(()=>this._update_language())),this.connect(this.model.properties.filename.change,(()=>this._update_filename())),this.connect(this.model.properties.print_margin.change,(()=>this._update_print_margin())),this.connect(this.model.properties.annotations.change,(()=>this._add_annotations())),this.connect(this.model.properties.readonly.change,(()=>{this._editor.setReadOnly(this.model.readonly)}))}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._modelist=this._ace.require(\"ace/ext/modelist\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._update_theme(),this._update_filename(),this._update_language(),this._editor.setReadOnly(this.model.readonly),this._editor.setShowPrintMargin(this.model.print_margin),this._editor.on(\"change\",(()=>this._update_code_from_editor()))}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_print_margin(){this._editor.setShowPrintMargin(this.model.print_margin)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(`ace/theme/${this.model.theme}`)}_update_filename(){if(this.model.filename){const e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(`ace/mode/${this.model.language}`)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=h,h.__name__=\"AcePlotView\";class _ extends n.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:i,String:o})=>({code:[o,\"\"],filename:[o],language:[o],theme:[o,\"chrome\"],annotations:[t(e),[]],readonly:[i,!1],print_margin:[i,!1]}))),this.override({height:300,width:300})}}i.AcePlot=_,_.__name__=\"AcePlot\",_.__module__=\"panel.models.ace\",_.init_AcePlot()},\n      \"4c755983eb\": function _(e,i,t,s,h){s();const n=e(\"@bokehjs/core/layout/html\"),_=e(\"@bokehjs/core/layout/types\"),a=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/models/layouts/html_box\");function d(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),null!=i.min_width&&(e.style.minWidth=i.min_width+\"px\"),null!=i.max_width&&(e.style.maxWidth=i.max_width+\"px\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\"),null!=i.min_height&&(e.style.minHeight=i.min_height+\"px\"),null!=i.max_width&&(e.style.maxHeight=i.max_height+\"px\")}t.set_size=d;class m extends n.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),h=this._cache_count.get(i);if(null!=s&&null!=h&&h>=t)return this._cache_count.set(i,h+1),s;const n=new _.Sizeable(e).bounded_to(this.sizing.size),l=(0,a.sized)(this.el,n,(()=>{const e=new _.Sizeable((0,a.content_size)(this.el)),{border:i,padding:t}=(0,a.extents)(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)}));return this._cache.set(i,l),this._cache_count.set(i,0),l}invalidate_cache(){}}t.CachedVariadicBox=m,m.__name__=\"CachedVariadicBox\";class c extends l.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.markup_el,this.model)}}t.PanelMarkupView=c,c.__name__=\"PanelMarkupView\";class r extends o.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.el,this.model)}}t.PanelHTMLBoxView=r,r.__name__=\"PanelHTMLBoxView\"},\n      \"339f84d639\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class u extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=u,u.__name__=\"AudioView\";class h extends l.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=u,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],time:[o,0],throttle:[o,250],value:[e,\"\"],volume:[i]})))}}i.Audio=h,h.__name__=\"Audio\",h.__module__=\"panel.models.widgets\",h.init_Audio()},\n      \"c816112d20\": function _(e,s,l,t,o){t();const i=e(\"tslib\"),a=e(\"@bokehjs/models/layouts/column\"),n=e(\"@bokehjs/core/util/bbox\"),c=(0,i.__importStar)(e(\"@bokehjs/core/dom\")),d=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/layout/grid\"),h=e(\"@bokehjs/core/util/color\");class _ extends a.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,(()=>this._collapse()));const{active_header_background:e,header_background:s,header_color:l}=this.model.properties;this.on_change([e,s,l],(()=>this.render()))}_update_layout(){const e=(this.model.collapsed?this.child_views.slice(0,1):this.child_views).map((e=>e.layout));this.layout=new r.Column(e),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}update_position(){if(this.model.collapsible){const e=this.child_views[0],s=e.layout.bbox,l=e.layout.inner_bbox;if(0!=s.x1){const t=getComputedStyle(this.button_el.children[0]),o=parseFloat(t.width)+parseFloat(t.marginLeft),i=new n.BBox({x0:s.x0,x1:s.x1-o,y0:s.y0,y1:s.y1}),a=new n.BBox({x0:l.x0,x1:l.x1-o,y0:l.y0,y1:l.y1});e.layout.set_geometry(i,a)}}super.update_position()}render(){(0,d.empty)(this.el);const{background:e,button_css_classes:s,header_color:l,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?(0,h.color2css)(e):\"\",(0,d.classes)(this.el).clear().add(...this.css_classes());let i=this.model.header_background;!this.model.collapsed&&this.model.active_header_background&&(i=this.model.active_header_background);const a=this.child_views[0];let n;if(this.model.collapsible){this.button_el=c.createElement(\"button\",{type:\"button\",class:o});const e=c.createElement(\"div\",{class:s});e.innerHTML=this.model.collapsed?\"\\u25ba\":\"\\u25bc\",this.button_el.appendChild(e),this.button_el.style.backgroundColor=null!=i?i:\"\",a.el.style.backgroundColor=null!=i?i:\"\",this.button_el.appendChild(a.el),this.button_el.onclick=()=>this._toggle_button(),n=this.button_el}else n=c.createElement(t,{class:o}),n.style.backgroundColor=null!=i?i:\"\",n.appendChild(a.el);n.style.color=null!=l?l:\"\",this.el.appendChild(n),a.render();for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return c.createElement(this.model.tag,{class:this.css_classes()})}}l.CardView=_,_.__name__=\"CardView\";class u extends a.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=_,this.define((({Array:e,Boolean:s,Nullable:l,String:t})=>({active_header_background:[l(t),null],button_css_classes:[e(t),[]],collapsed:[s,!0],collapsible:[s,!0],header_background:[l(t),null],header_color:[l(t),null],header_css_classes:[e(t),[]],header_tag:[t,\"div\"],tag:[t,\"div\"]})))}}l.Card=u,u.__name__=\"Card\",u.__module__=\"panel.models.layout\",u.init_Card()},\n      \"e552778259\": function _(e,t,n,o,i){o();const s=e(\"@bokehjs/document\"),c=e(\"@bokehjs/core/view\"),_=e(\"@bokehjs/model\"),l=e(\"@bokehjs/protocol/message\"),a=e(\"@bokehjs/protocol/receiver\");class h extends c.View{renderTo(){}}n.CommManagerView=h,h.__name__=\"CommManagerView\";class m extends _.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new a.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,(e=>this.msg_handler(e))),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,(e=>this.on_ack(e)))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof s.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout((()=>this.process_events()),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=l.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=h,this.define((({Int:e,String:t})=>({plot_id:[t],comm_id:[t],client_comm_id:[t],timeout:[e,5e3],debounce:[e,50]})))}}n.CommManager=m,m.__name__=\"CommManager\",m.__module__=\"panel.models.comm_manager\",m.init_CommManager()},\n      \"8e41f17634\": function _(e,t,s,i,o){i();const l=e(\"@bokehjs/core/util/types\"),n=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"@bokehjs/core/build_views\"),r=e(\"@bokehjs/core/bokeh_events\"),d=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/kinds\"),h=e(\"@bokehjs/models/sources/column_data_source\"),u=e(\"@bokehjs/models/widgets/tables\"),m=e(\"99a25e6992\"),_=e(\"f1971f81bf\"),f=e(\"4c755983eb\");class p extends r.ModelEvent{constructor(e,t){super(),this.column=e,this.row=t,this.event_name=\"table-edit\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}function g(e,t,s){for(const i of s)if(i[e]==t)return i;return null}function b(e,t,s,i=0){const o={};if(0==e.length)return o;const n=s[i];for(const a of e){const e=b(a._children,t,s,i+1);for(const t in e)(0,l.isArray)(e[t])?a[t]=e[t].reduce(((e,t)=>e+t),0)/e[t].length:a[t]=e[t];for(const e of t.slice(1)){const t=a[e.field];if(e.field in o){const s=o[e.field];\"min\"===n?o[e.field]=Math.min(t,s):\"max\"===n?o[e.field]=Math.max(t,s):\"sum\"===n?o[e.field]=t+s:\"mean\"===n&&((0,l.isArray)(o[e.field])?o[e.field].push(t):o[e.field]=[s,t])}else o[e.field]=t}}return o}function w(e,t,s,i){const o=[],l=t[0].field;for(const i of e){const e=i[s[0]];let n=g(l,e,o);null==n&&(n={_children:[]},n[l]=e,o.push(n));let a=n;const r={};for(const e of s.slice(1)){a=g(l,i[e],a._children),null==a&&(a={_children:[]},a[l]=i[e],n._children.push(a)),r[e]=n;for(const e of t.slice(1))a[e.field]=i[e];n=a}for(const e of t.slice(1))a[e.field]=i[e.field]}const n=[];for(const e of s)n.push(e in i?i[e]:\"sum\");return b(o,t,n),o}s.TableEditEvent=p,p.__name__=\"TableEditEvent\";class y extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._tabulator_cell_updating=!1,this._data_updating=!0,this._selection_updating=!1,this._styled_cells=[]}connect_signals(){super.connect_signals();const{configuration:e,layout:t,columns:s,theme:i,groupby:o}=this.model.properties;this.on_change([e,t,s,o],(()=>this.render_and_resize())),this.on_change([i],(()=>this.setCSS())),this.connect(this.model.properties.download.change,(()=>{const e=this.model.filename.endsWith(\".json\")?\"json\":\"csv\";this.tabulator.download(e,this.model.filename)})),this.connect(this.model.properties.children.change,(()=>{this._render_children()})),this.connect(this.model.properties.expanded.change,(()=>{for(const e of this.tabulator.rowManager.getRows())e.cells.length>0&&e.cells[0].layoutElement()})),this.connect(this.model.properties.hidden_columns.change,(()=>{this.hideColumns()})),this.connect(this.model.properties.page_size.change,(()=>{this.setPageSize()})),this.connect(this.model.properties.page.change,(()=>{this.setPage()})),this.connect(this.model.properties.max_page.change,(()=>{this.setMaxPage()})),this.connect(this.model.properties.frozen_rows.change,(()=>{this.freezeRows()})),this.connect(this.model.properties.styles.change,(()=>{this._styles=this.model.styles,this.updateStyles()})),this.connect(this.model.source.properties.data.change,(()=>{this.setData()})),this.connect(this.model.source.streaming,(()=>this.addData())),this.connect(this.model.source.patching,(()=>this.updateOrAddData())),this.connect(this.model.source.selected.change,(()=>this.updateSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.updateSelection()))}render_and_resize(){this.render(),this.update_layout(),this.compute_layout(),this.root!==this&&this.invalidate_layout()}render(){super.render();if(this.setCSS())return;this._initializing=!0,this._styles=this.model.styles;const e=(0,d.div)({class:\"pnx-tabulator\"});(0,f.set_size)(e,this.model);let t=this.getConfiguration();this.tabulator=new Tabulator(e,t),this._render_children(),\"remote\"===this.model.pagination&&(this.tabulator.options.pagination=this.model.pagination,this.tabulator.modules.page.mode=\"remote\"),this.setGroupBy(),this.hideColumns(),this.model.pagination?(this.setMaxPage(),this.tabulator.setPage(this.model.page),this.setData()):this.freezeRows(),this.el.appendChild(e)}tableInit(e,t){const s=t.modules.ajax;s.sendRequest=()=>e.requestPage(s.params.page,s.params.sorters),t.modules.page._parseRemoteData=()=>{}}requestPage(e,t){return new Promise(((s,i)=>{try{null!=e&&null!=t&&(this._data_updating?this._data_updating=!1:this.model.sorters=t,this.model.page=e||1),s([])}catch(e){i(e)}}))}renderComplete(){this._initializing&&(this.updateStyles(),this.updateSelection()),this._initializing=!1}freezeRows(){for(const e of this.model.frozen_rows)this.tabulator.getRow(e).freeze()}getLayout(){switch(this.model.layout){case\"fit_data\":return\"fitData\";case\"fit_data_fill\":return\"fitDataFill\";case\"fit_data_stretch\":return\"fitDataStretch\";case\"fit_data_table\":return\"fitDataTable\";case\"fit_columns\":return\"fitColumns\"}}getConfiguration(){const e=\"remote\"==this.model.pagination?\"local\":this.model.pagination||!1;let t=\"toggle\"===this.model.select_mode||NaN;const s=this;let i=Object.assign(Object.assign({},this.model.configuration),{index:\"_index\",nestedFieldSeparator:!1,selectable:t,tableBuilding:function(){s.tableInit(s,this)},renderComplete:()=>this.renderComplete(),rowSelectionChanged:(e,t)=>this.rowSelectionChanged(e,t),rowClick:(e,t)=>this.rowClicked(e,t),cellEdited:e=>this.cellEdited(e),columns:this.getColumns(),layout:this.getLayout(),pagination:e,paginationSize:this.model.page_size,paginationInitialPage:1,selectableCheck:e=>{const t=this.model.selectable_rows;return null==t||t.indexOf(e._row.data._index)>=0},tooltips:e=>e.getColumn().getField()+\": \"+e.getValue(),scrollVertical:(0,m.debounce)((()=>{this.updateStyles()}),50,!1),rowFormatter:e=>this._render_row(e),dataFiltering:()=>{null!=this.tabulator&&(this.model.filters=this.tabulator.getHeaderFilters())}});e&&(i.ajaxURL=\"http://panel.pyviz.org\",i.ajaxSorting=!0);const o=this.model.source;let l;return l=null===o||0===o.columns().length?[]:(0,_.transform_cds_to_records)(o,!0),i.dataTree&&(l=w(l,this.model.columns,this.model.indexes,this.model.aggregators)),Object.assign(Object.assign({},i),{data:l})}_render_children(){new Promise((async e=>{const t=[];for(const e of this.model.expanded)e in this.model.children&&t.push(this.model.children[e]);await(0,a.build_views)(this._child_views,t,{parent:null}),e(null)})).then((()=>{for(const e of this.model.expanded){const t=this.tabulator.getRow(e);this._render_row(t)}}))}_render_row(e){const t=e._row.data._index;if(this.model.expanded.indexOf(t)<0||!(t in this.model.children))return;const s=this.model.children[t],i=this._child_views.get(s);if(null==i)return;const o=e.getElement(),l=o.children[o.children.length-1];if(\"bk\"===l.className&&l.children.length)return;const n=getComputedStyle(this.tabulator.element.children[1].children[0]).backgroundColor,a=\"-\"+o.style.paddingLeft,r=(0,d.div)({style:\"background-color: \"+n+\"; margin-left:\"+a});i.renderTo(r),e.getElement().appendChild(r)}_expand_render(e){const t=e._cell.row.data._index;return\"<i>\"+(this.model.expanded.indexOf(t)<0?\"\\u25ba\":\"\\u25bc\")+\"</i>\"}_update_expand(e){const t=e._cell.row.data._index,s=[...this.model.expanded],i=s.indexOf(t);if(i<0?s.push(t):s.splice(i,1),this.model.expanded=s,s.indexOf(t)<0)return;let o=!0;for(const e of this.model.expanded)if(!(e in this.model.children)){o=!1;break}o&&this._render_children()}getColumns(){var e;const t=null===(e=this.model.configuration)||void 0===e?void 0:e.columns;let s=[];if(null!=t)for(const e of t)if(null!=e.columns){const t=[];for(const s of e.columns)t.push(Object.assign({},s));s.push(Object.assign(Object.assign({},e),{columns:t}))}else if(\"expand\"===e.formatter){const e={hozAlign:\"center\",cellClick:(e,t)=>{this._update_expand(t)},formatter:e=>this._expand_render(e),width:40,frozen:!0};s.push(e)}else\"rowSelection\"===e.formatter&&(e.cellClick=(e,t)=>{t.getRow().toggleSelect()}),s.push(Object.assign({},e));for(const e of this.model.columns){let i=null;if(null!=t)for(const t of s)if(null!=t.columns){for(const s of t.columns)if(e.field===s.field){i=s;break}if(null!=i)break}else if(e.field===t.field){i=t;break}if(null==i&&(i={field:e.field}),null==i.title&&(i.title=e.title),null==i.width&&null!=e.width&&0!=e.width&&(i.width=e.width),null==i.formatter&&null!=e.formatter){const t=e.formatter.type;i.formatter=\"BooleanFormatter\"===t?\"tickCross\":t=>{const s=e.formatter.doFormat(t.getRow(),t,t.getValue(),null,null);if(\"HTMLTemplateFormatter\"===e.formatter.type)return s;const i=(0,d.div)();return i.innerHTML=s,i.children[0].innerHTML}}const o=e.editor,l=o.type;null!=i.editor||(\"StringEditor\"===l?o.completions.length>0?(i.editor=\"autocomplete\",i.editorParams={values:o.completions}):i.editor=\"input\":\"TextEditor\"===l?i.editor=\"textarea\":\"IntEditor\"===l||\"NumberEditor\"===l?(i.editor=\"number\",i.editorParams={step:o.step}):\"CheckboxEditor\"===l?i.editor=\"tickCross\":\"SelectEditor\"===l?(i.editor=\"select\",i.editorParams={values:o.options}):null!=o&&null!=o.default_view&&(i.editor=(t,s,i,o)=>this.renderEditor(e,t,s,i,o))),i.editable=()=>this.model.editable&&null!=o.default_view,i.headerFilter&&\"boolean\"==typeof i.headerFilter&&\"string\"==typeof i.editor&&(i.headerFilter=i.editor,i.headerFilterParams=i.editorParams),null==t&&s.push(i)}return s}renderEditor(e,t,s,i,o){const l=e.editor,n=new l.default_view({column:e,model:l,parent:this,container:t._cell.element});return n.initialize(),n.connect_signals(),s((()=>{n.setValue(t.getValue())})),n.inputEl.addEventListener(\"change\",(()=>{const e=n.serializeValue(),s=t.getValue(),l=n.validate();l.valid||o(l.msg),null!=s&&typeof e!=typeof s?o(\"Mismatching type\"):i(n.serializeValue())})),n.inputEl}after_layout(){super.after_layout(),null!=this.tabulator&&this.tabulator.redraw(!0),this.updateStyles()}setData(){let e=(0,_.transform_cds_to_records)(this.model.source,!0);this.model.configuration.dataTree&&(e=w(e,this.model.columns,this.model.indexes,this.model.aggregators)),this._data_updating=!0,null!=this.model.pagination?this.tabulator.rowManager.setData(e,!0,!1):(this.tabulator.setData(e),this._data_updating=!1),this.freezeRows(),this.updateSelection()}setGroupBy(){if(0==this.model.groupby.length)return void this.tabulator.setGroupBy(!1);this.tabulator.setGroupBy((e=>{const t=[];for(const s of this.model.groupby){const i=s+\": \"+e[s];t.push(i)}return t.join(\", \")}))}setCSS(){let e;e=\"default\"==this.model.theme?\"tabulator\":\"tabulator_\"+this.model.theme;const t=this.model.theme_url+e+\".min.css\";let s=null;const i=document.getElementsByTagName(\"link\"),o=this.model.theme_url.indexOf(\"dist/\"),l=this.model.theme_url.slice(0,o);for(const e of i)if(e.href.indexOf(l)>=0){s=e;break}if(null!=s)return!s.href.endsWith(t)&&(s.href=t,setTimeout((()=>this.render_and_resize()),100),!0);let n=document.getElementsByTagName(\"head\")[0];const a=document.createElement(\"link\");return a.type=\"text/css\",a.rel=\"stylesheet\",a.media=\"screen\",a.href=t,a.onload=()=>{this.render_and_resize()},n.appendChild(a),!0}updateStyles(){for(const e of this._styled_cells)e.cssText=\"\";if(this._styled_cells=[],null==this._styles||null==this.tabulator||0==this.tabulator.getDataCount())return;for(const e in this._styles){const t=this._styles[e],s=this.tabulator.getRow(e);if(!s)continue;const i=s._row.cells;for(const e in t){const s=t[e],o=i[e];if(null==o||!s.length)continue;const 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if(e.shiftKey&&i.indices.length){const e=i.indices[i.indices.length-1];if(o>e)for(let t=e;t<o;t++)s.push(t);else for(let t=e;t>o;t--)s.push(t)}if(s.indexOf(o)<0?s.push(o):s.splice(s.indexOf(o),1),\"number\"==typeof this.model.select_mode)for(;s.length>this.model.select_mode;)s.shift();const l=this._filter_selected(s);this.tabulator.deselectRow(),this.tabulator.selectRow(l),this._selection_updating=!0,i.indices=l,this._selection_updating=!1}_filter_selected(e){const t=[];for(const s of e)(null==this.model.selectable_rows||this.model.selectable_rows.indexOf(s)>=0)&&t.push(s);return t}rowSelectionChanged(e,t){if(this._selection_updating||this._initializing||\"boolean\"==typeof this.model.select_mode||this.model.select_mode.startsWith(\"checkbox\"))return;const s=e.map((e=>e._index)),i=this._filter_selected(s);this._selection_updating=s.length===i.length,this.model.source.selected.indices=i,this._selection_updating=!1}cellEdited(e){const t=e._cell.column.field,s=e._cell.row.data._index,i=e._cell.value;this._tabulator_cell_updating=!0,this.model.source.patch({[t]:[[s,i]]}),this._tabulator_cell_updating=!1,this.model.trigger_event(new p(t,s))}}s.DataTabulatorView=y,y.__name__=\"DataTabulatorView\",s.TableLayout=(0,c.Enum)(\"fit_data\",\"fit_data_fill\",\"fit_data_stretch\",\"fit_data_table\",\"fit_columns\");class x extends n.HTMLBox{constructor(e){super(e)}static 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c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}o.debounce=o,l.exports=o},\n      \"f1971f81bf\": function _(n,t,e,o,r){o(),e.transform_cds_to_records=function(n,t=!1){const e=[],o=n.columns(),r=n.get_length();if(0===o.length||null===r)return[];for(let l=0;l<r;l++){const r={};for(const t of o){let e=n.get_array(t);const o=null==e[0].shape?null:e[0].shape;null!=o&&o.length>1&&\"number\"==typeof o[0]?r[t]=e.slice(l*o[1],l*o[1]+o[1]):r[t]=e[l]}t&&(r._index=l),e.push(r)}return e},e.dict_to_records=function(n,t=!0){for(let e=0;e<n.index.length;e++){const o={};for(const r of n)(t||\"index\"!==r)&&(o[r]=n[r][e])}return[]}},\n      \"6e11b2cfe2\": function _(e,t,i,s,n){s();const o=e(\"tslib\"),l=(0,o.__importDefault)(e(\"50d3473f3f\")),d=e(\"@bokehjs/models/widgets/input_widget\"),a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/enums\"),c=e(\"@bokehjs/core/util/types\"),m=(0,o.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\")),h=(0,o.__importDefault)(e(\"@bokehjs/styles/widgets/flatpickr.css\"));function _(e){const t=[];for(const i of e)if((0,c.isString)(i))t.push(i);else{const[e,s]=i;t.push({from:e,to:s})}return t}class u extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:s,enabled_dates:n,position:o,inline:l,enable_time:d,enable_seconds:a,military_time:r,date_format:c,mode:m}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(o.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)})),this.connect(d.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableTime\",this.model.enable_time)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableSeconds\",this.model.enable_seconds)})),this.connect(r.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"time_24hr\",this.model.military_time)})),this.connect(m.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"mode\",this.model.mode)})),this.connect(c.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"dateFormat\",this.model.date_format)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),h.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,a.input)({type:\"text\",class:m.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,l.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),enableTime:this.model.enable_time,enableSeconds:this.model.enable_seconds,time_24hr:this.model.military_time,dateFormat:this.model.date_format,mode:this.model.mode,onClose:(e,t,i)=>this._on_close(e,t,i)}))}_on_close(e,t,i){(\"range\"!=this.model.mode||t.includes(\"to\"))&&(this.model.value=t,this.change_input())}}i.DatetimePickerView=u,u.__name__=\"DatetimePickerView\";class p extends d.InputWidget{constructor(e){super(e)}static init_DatetimePicker(){this.prototype.default_view=u,this.define((({Boolean:e,String:t,Array:i,Tuple:s,Or:n,Nullable:o})=>{const l=i(n(t,s(t,t)));return{value:[t],min_date:[o(t),null],max_date:[o(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1],enable_time:[e,!0],enable_seconds:[e,!0],military_time:[e,!0],date_format:[t,\"Y-m-d H:i:S\"],mode:[t,\"single\"]}}))}}i.DatetimePicker=p,p.__name__=\"DatetimePicker\",p.__module__=\"panel.models.datetime_picker\",p.init_DatetimePicker()},\n      \"50d3473f3f\": function _(e,n,t,a,i){\n      /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n      /*! *****************************************************************************\n              Copyright (c) Microsoft Corporation.\n          \n              Permission to use, copy, modify, and/or distribute this software for any\n              purpose with or without fee is hereby granted.\n          \n              THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n              REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n              AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n              INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n              LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n              OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n              PERFORMANCE OF THIS SOFTWARE.\n              ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],a={_disable:[],_enable:[],allowInput:!1,allowInvalidPreload:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",autoFillDefaultTime:!0,clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof console&&console.warn(e)},getWeek:function(e){var n=new Date(e.getTime());n.setHours(0,0,0,0),n.setDate(n.getDate()+3-(n.getDay()+6)%7);var t=new Date(n.getFullYear(),0,4);return 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46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var 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d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&c<t&&l.top>t,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new Date(w.currentYear,w.currentMonth,1);t.setMonth(w.currentMonth+n),w.config.showMonths>1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYear<w.config.minDate.getFullYear()),w._hideNextMonthArrow=void 0!==w.config.maxDate&&(w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth+1>w.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u<n.length;u++)w.config[n[u]]=!0===w.config[n[u]]||\"true\"===w.config[n[u]];for(t.filter((function(e){return void 0!==w.config[e]})).forEach((function(e){w.config[e]=c(w.config[e]||[]).map(x)})),w.isMobile=!w.config.disableMobile&&!w.config.inline&&\"single\"===w.config.mode&&!w.config.disable.length&&!w.config.enable.length&&!w.config.weekNumbers&&/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent),u=0;u<w.config.plugins.length;u++){var f=w.config.plugins[u](w)||{};for(var m in f)t.indexOf(m)>-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" \"+w.config.altInputClass),pe(\"onParseConfig\")}(),le(),w.input=re(),w.input?(w.input._type=w.input.type,w.input.type=\"text\",w.input.classList.add(\"flatpickr-input\"),w._input=w.input,w.config.altInput&&(w.altInput=s(w.input.nodeName,w.config.altInputClass),w._input=w.altInput,w.altInput.placeholder=w.input.placeholder,w.altInput.disabled=w.input.disabled,w.altInput.required=w.input.required,w.altInput.tabIndex=w.input.tabIndex,w.altInput.type=\"text\",w.input.setAttribute(\"type\",\"hidden\"),!w.config.static&&w.input.parentNode&&w.input.parentNode.insertBefore(w.altInput,w.input.nextSibling)),w.config.allowInput||w._input.setAttribute(\"readonly\",\"readonly\"),w._positionElement=w.config.positionElement||w._input):w.config.errorHandler(new Error(\"Invalid input element specified\")),function(){w.selectedDates=[],w.now=w.parseDate(w.config.now)||new Date;var e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()<w.now.getTime()?w.config.maxDate:w.now,w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth(),w.selectedDates.length>0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var 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t=document.createElement(\"script\");Array.from(e.attributes).forEach((e=>t.setAttribute(e.name,e.value))),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)}))}n.DOMEvent=a,a.__name__=\"DOMEvent\",n.htmlDecode=c,n.runScripts=d;class h extends _.PanelMarkupView{constructor(){super(...arguments),this._event_listeners={}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()}))}render(){super.render();const e=this.process_tex();e?(this.markup_el.innerHTML=e,d(this.markup_el),this._setup_event_listeners()):this.markup_el.innerHTML=\"\"}process_tex(){const e=c(this.model.text)||this.model.text;if(this.model.disable_math||!this.contains_tex(e))return e;const t=this.provider.MathJax.find_tex(e),n=[];let s=0;for(const r of t)n.push(e.slice(s,r.start.n)),n.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),s=r.end.n;return s<e.length&&n.push(e.slice(s)),n.join(\"\")}contains_tex(e){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(e).length>0}_remove_event_listeners(){for(const e in this._event_listeners){const t=document.getElementById(e);if(null!=t)for(const n in this._event_listeners[e]){const s=this._event_listeners[e][n];t.removeEventListener(n,s)}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}this._event_listeners={}}_setup_event_listeners(){for(const e in this.model.events){const t=document.getElementById(e);if(null!=t)for(const n of this.model.events[e]){const s=t=>{this.model.trigger_event(new a(e,(0,l.serializeEvent)(t)))};t.addEventListener(n,s),e in this._event_listeners||(this._event_listeners[e]={}),this._event_listeners[e][n]=s}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}}}n.HTMLView=h,h.__name__=\"HTMLView\";class u extends i.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=h,this.define((({Any:e})=>({events:[e,{}]})))}}n.HTML=u,u.__name__=\"HTML\",u.__module__=\"panel.models.markup\",u.init_HTML()},\n      \"3329d4aa5b\": function _(e,t,o,a,i){function n(e){const t={type:e.type};return\"value\"in e.target&&(t.value=e.target.value),e.type in c&&Object.assign(t,c[e.type](e)),t}a(),o.serializeEvent=n;const r={clipboard:e=>({clipboardData:e.clipboardData}),composition:e=>({data:e.data}),keyboard:e=>({altKey:e.altKey,charCode:e.charCode,ctrlKey:e.ctrlKey,key:e.key,keyCode:e.keyCode,locale:e.locale||null,location:e.location,metaKey:e.metaKey,repeat:e.repeat,shiftKey:e.shiftKey,which:e.which}),mouse:e=>({altKey:e.altKey,button:e.button,buttons:e.buttons,clientX:e.clientX,clientY:e.clientY,ctrlKey:e.ctrlKey,metaKey:e.metaKey,pageX:e.pageX,pageY:e.pageY,screenX:e.screenX,screenY:e.screenY,shiftKey:e.shiftKey}),pointer:e=>({pointerId:e.pointerId,width:e.width,height:e.height,pressure:e.pressure,tiltX:e.tiltX,tiltY:e.tiltY,pointerType:e.pointerType,isPrimary:e.isPrimary}),touch:e=>({altKey:e.altKey,ctrlKey:e.ctrlKey,metaKey:e.metaKey,shiftKey:e.shiftKey}),ui:e=>({detail:e.detail}),wheel:e=>({deltaMode:e.deltaMode,deltaX:e.deltaX,deltaY:e.deltaY,deltaZ:e.deltaZ}),animation:e=>({animationName:e.animationName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}),transition:e=>({propertyName:e.propertyName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime})},l={clipboard:[\"copy\",\"cut\",\"paste\"],composition:[\"compositionend\",\"compositionstart\",\"compositionupdate\"],keyboard:[\"keydown\",\"keypress\",\"keyup\"],mouse:[\"click\",\"contextmenu\",\"doubleclick\",\"drag\",\"dragend\",\"dragenter\",\"dragexit\",\"dragleave\",\"dragover\",\"dragstart\",\"drop\",\"mousedown\",\"mouseenter\",\"mouseleave\",\"mousemove\",\"mouseout\",\"mouseover\",\"mouseup\"],pointer:[\"pointerdown\",\"pointermove\",\"pointerup\",\"pointercancel\",\"gotpointercapture\",\"lostpointercapture\",\"pointerenter\",\"pointerleave\",\"pointerover\",\"pointerout\"],selection:[\"select\"],touch:[\"touchcancel\",\"touchend\",\"touchmove\",\"touchstart\"],ui:[\"scroll\"],wheel:[\"wheel\"],animation:[\"animationstart\",\"animationend\",\"animationiteration\"],transition:[\"transitionend\"]},c={};Object.keys(l).forEach((e=>{l[e].forEach((t=>{c[t]=r[e]}))})),o.default=n},\n      \"7d45bd3bc4\": function _(require,module,exports,__esModule,__esExport){__esModule();const preact_1=require(\"6f11f2ef27\"),hooks_1=require(\"4c02a9b43f\"),preact_2=require(\"b3f51db71c\"),fast_json_patch_1=require(\"cbecfde9cd\"),html_box_1=require(\"@bokehjs/models/layouts/html_box\"),layout_1=require(\"4c755983eb\"),event_to_object_1=require(\"3329d4aa5b\"),LayoutConfigContext=(0,preact_1.createContext)({});function mountLayout(e,t,o,n){(0,preact_1.render)(preact_2.html`\n            <${Layout}\n              saveUpdateHook=${t}\n              sendEvent=${o}\n              importSourceUrl=${n}\n            />\n          `,e)}function Layout({saveUpdateHook:e,sendEvent:t,importSourceUrl:o}){const[n,r]=useInplaceJsonPatch({});return(0,hooks_1.useEffect)((()=>e(r)),[r]),n.tagName?preact_2.html`\n            <${LayoutConfigContext.Provider}\n              value=${{sendEvent:t,importSourceUrl:o}}\n            >\n              <${Element} model=${n} />\n            <//>\n          `:preact_2.html`<div />`}function Element({model:e}){return e.importSource?preact_2.html`<${ImportedElement} model=${e} />`:preact_2.html`<${StandardElement} model=${e} />`}function ImportedElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=useLazyModule(e.importSource.source,t.importSourceUrl);if(o){const n=getPathProperty(o,e.tagName),r=elementChildren(e),a=elementAttributes(e,t.sendEvent);return preact_2.html`<${n} ...${a}>${r}<//>`}{const t=e.importSource.fallback;if(!t)return preact_2.html`<div />`;switch(typeof t){case\"object\":return preact_2.html`<${Element} model=${t} />`;case\"string\":return preact_2.html`<div>${t}</div>`;default:return null}}}function StandardElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=elementChildren(e),n=elementAttributes(e,t.sendEvent);return e.children&&e.children.length?preact_2.html`<${e.tagName} ...${n}>${o}<//>`:preact_2.html`<${e.tagName} ...${n} />`}function elementChildren(e){return e.children?e.children.map((e=>{switch(typeof e){case\"object\":return preact_2.html`<${Element} model=${e} />`;case\"string\":return e;default:return null}})):[]}function elementAttributes(e,t){const o=Object.assign({},e.attributes);return e.eventHandlers&&Object.keys(e.eventHandlers).forEach((n=>{const r=e.eventHandlers[n];o[n]=eventHandler(t,r)})),o}function eventHandler(e,t){return function(){const o=Array.from(arguments).map((e=>\"object\"==typeof e?(t.preventDefault&&e.preventDefault(),t.stopPropagation&&e.stopPropagation(),(0,event_to_object_1.serializeEvent)(e)):e));return new Promise((n=>{const r={data:o,target:t.target};e(r),n(r)}))}}function useLazyModule(source,sourceUrlBase=\"\"){const[module,setModule]=(0,hooks_1.useState)(null);return module||eval(`import('${joinUrl(sourceUrlBase,source)}')`).then(setModule),module}function getPathProperty(e,t){const o=t.split(\".\");let n=e[o.shift()];for(let e=0;e<o.length;e++)n=n[o[e]];return n}function useInplaceJsonPatch(e){const t=(0,hooks_1.useRef)(e),o=useForceUpdate(),n=(0,hooks_1.useCallback)(((e,n)=>{applyPatchInplace(t.current,e,n),o()}),[t,o]);return[t.current,n]}function applyPatchInplace(e,t,o){t?(0,fast_json_patch_1.applyPatch)(e,[{op:\"replace\",path:t,value:(0,fast_json_patch_1.applyPatch)((0,fast_json_patch_1.getValueByPointer)(e,t),o,!1,!1).newDocument}]):(0,fast_json_patch_1.applyPatch)(e,o)}function useForceUpdate(){const[,e]=(0,hooks_1.useState)({});return(0,hooks_1.useCallback)((()=>e({})),[])}function joinUrl(e,t){return t.startsWith(\"./\")?(e.endsWith(\"/\")?e.slice(0,-1):e)+t.slice(1):t}exports.mountLayout=mountLayout,exports.default=Layout;class IDOMView extends layout_1.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.event.change,(()=>{this._update(...this.model.event),setTimeout((()=>{requestAnimationFrame((()=>this.fix_layout()))}))}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout(),(0,layout_1.set_size)(this.el,this.model)}initialize(){super.initialize(),mountLayout(this.el,(e=>this._save_update(e)),(e=>this._send(e)),this.model.importSourceUrl)}async lazy_initialize(){await super.lazy_initialize(),await new Promise((e=>{const t=()=>{this._update?e(null):setTimeout(t,100)};t()}))}_save_update(e){this._update=e}async render(){super.render(),this._update(...this.model.event),await new Promise((e=>{const t=()=>{this.el.children.length?(this.fix_layout(),e(null)):setTimeout(t,50)};t()}))}_send(e){this.model.msg=e}}exports.IDOMView=IDOMView,IDOMView.__name__=\"IDOMView\";class IDOM extends html_box_1.HTMLBox{constructor(e){super(e)}static init_IDOM(){this.prototype.default_view=IDOMView,this.define((({Any:e,String:t})=>({event:[e,[]],importSourceUrl:[t,\"\"],msg:[e,{}]})))}}exports.IDOM=IDOM,IDOM.__name__=\"IDOM\",IDOM.__module__=\"panel.models.idom\",IDOM.init_IDOM()},\n      \"6f11f2ef27\": function _(e,n,t,_,l){_();var o,r,i,u,s,c,f={},p=[],a=/acit|ex(?:s|g|n|p|$)|rph|grid|ows|mnc|ntw|ine[ch]|zoo|^ord|itera/i;function d(e,n){for(var t in n)e[t]=n[t];return e}function h(e){var n=e.parentNode;n&&n.removeChild(e)}function v(e,n,t){var _,l,o,r=arguments,i={};for(o in n)\"key\"==o?_=n[o]:\"ref\"==o?l=n[o]:i[o]=n[o];if(arguments.length>3)for(t=[t],o=3;o<arguments.length;o++)t.push(r[o]);if(null!=t&&(i.children=t),\"function\"==typeof e&&null!=e.defaultProps)for(o in e.defaultProps)void 0===i[o]&&(i[o]=e.defaultProps[o]);return y(e,i,_,l,null)}function y(e,n,t,_,l){var r={type:e,props:n,key:t,ref:_,__k:null,__:null,__b:0,__e:null,__d:void 0,__c:null,__h:null,constructor:void 0,__v:null==l?++o.__v:l};return 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i=f(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var s=d(\"span\",\"preview-text\");s.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(s)}var a=d(\"div\",\"children\");return this.isObject&&a.classList.add(l(\"object\")),this.isArray&&a.classList.add(l(\"array\")),this.isEmpty&&a.classList.add(l(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(l(this.config.theme)),this.isOpen&&this.element.classList.add(l(\"open\")),this.element.appendChild(t),this.element.appendChild(a),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+l(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():h(i))};h(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+l(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():h(n))};h(n)}else e&&(e.innerHTML=\"\")},t}();r.default=g},\n      \"1767172ffa\": function _(e,t,i,s,l){s();const n=e(\"tslib\"),o=e(\"@bokehjs/models/widgets/input_widget\"),a=(0,n.__importStar)(e(\"@bokehjs/styles/buttons.css\")),h=a,d=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/enums\");class r extends o.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,(()=>this._update_button_style())),this.connect(this.model.properties.filename.change,(()=>this._update_download())),this.connect(this.model.properties._transfers.change,(()=>this._handle_click())),this.connect(this.model.properties.label.change,(()=>this._update_label())),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()))}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=(0,d.input)({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}styles(){return[...super.styles(),a.default]}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],s=new ArrayBuffer(t.length),l=new Uint8Array(s);for(let e=0;e<t.length;e++)l[e]=t.charCodeAt(e);return new Blob([s],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){const e=h[`btn_${this.model.button_type}`];if(this.anchor_el.hasAttribute(\"class\")){const t=this.anchor_el.classList.item(1);t&&this.anchor_el.classList.replace(t,e)}else this.anchor_el.classList.add(h.btn),this.anchor_el.classList.add(e)}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=r,r.__name__=\"FileDownloadView\";class c extends o.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t,Nullable:i,String:s})=>({auto:[e,!1],clicks:[t,0],data:[i(s),null],label:[s,\"Download\"],filename:[i(s),null],button_type:[_.ButtonType,\"default\"],_transfers:[t,0]}))),this.override({title:\"\"})}}i.FileDownload=c,c.__name__=\"FileDownload\",c.__module__=\"panel.models.widgets\",c.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i,a,n){a();const s=e(\"@bokehjs/models/widgets/markup\"),r=e(\"4c755983eb\");class l extends r.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=l,l.__name__=\"KaTeXView\";class d extends s.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=l}}i.KaTeX=d,d.__name__=\"KaTeX\",d.__module__=\"panel.models.katex\",d.init_KaTeX()},\n      \"642aa56b24\": function _(o,e,t,i,a){i();const h=o(\"@bokehjs/core/view\"),n=o(\"@bokehjs/model\");class s extends h.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,(()=>this.update(\"pathname\"))),this.connect(this.model.properties.search.change,(()=>this.update(\"search\"))),this.connect(this.model.properties.hash.change,(()=>this.update(\"hash\"))),this.connect(this.model.properties.reload.change,(()=>this.update(\"reload\")))}update(o){this.model.reload&&\"reload\"!==o?(\"pathname\"==o&&(window.location.pathname=this.model.pathname),\"search\"==o&&(window.location.search=this.model.search),\"hash\"==o&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===o&&window.location.reload())}}t.LocationView=s,s.__name__=\"LocationView\";class c extends n.Model{constructor(o){super(o)}static init_Location(){this.prototype.default_view=s,this.define((({Boolean:o,String:e})=>({href:[e,\"\"],hostname:[e,\"\"],pathname:[e,\"\"],protocol:[e,\"\"],port:[e,\"\"],search:[e,\"\"],hash:[e,\"\"],reload:[o,!1]})))}}t.Location=c,c.__name__=\"Location\",c.__module__=\"panel.models.location\",c.init_Location()},\n      \"0c21036737\": function _(e,t,a,i,s){i();const h=e(\"@bokehjs/models/widgets/markup\"),_=e(\"4c755983eb\");class n extends _.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=n,n.__name__=\"MathJaxView\";class u extends h.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=n}}a.MathJax=u,u.__name__=\"MathJax\",u.__module__=\"panel.models.mathjax\",u.init_MathJax()},\n      \"84a772681d\": function _(e,t,i,s,n){s();const o=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/sources/column_data_source\"),c=e(\"4c755983eb\"),h=[\"perspective-viewer-material\",\"perspective-viewer-material-dark\",\"perspective-viewer-material-dense\",\"perspective-viewer-material-dense-dark\",\"perspective-viewer-vaporwave\"];function p(e){return!h.includes(e)}function a(e){return\"perspective-viewer-\"+e}class u extends c.PanelHTMLBoxView{constructor(){super(...arguments),this._updating=!1,this._config_listener=null,this._event_listener=null,this._loaded=!1}connect_signals(){super.connect_signals(),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.properties.toggle_config.change,(()=>{this.perspective_element.toggleConfig(),this.fix_layout()})),this.connect(this.model.properties.columns.change,(()=>{this.updateAttribute(\"columns\",this.model.columns,!0)})),this.connect(this.model.properties.computed_columns.change,(()=>{this.updateAttribute(\"computed-columns\",this.model.computed_columns,!0)})),this.connect(this.model.properties.column_pivots.change,(()=>{this.updateAttribute(\"column-pivots\",this.model.column_pivots,!0)})),this.connect(this.model.properties.row_pivots.change,(()=>{this.updateAttribute(\"row-pivots\",this.model.row_pivots,!0)})),this.connect(this.model.properties.aggregates.change,(()=>{this.updateAttribute(\"aggregates\",this.model.aggregates,!0)})),this.connect(this.model.properties.filters.change,(()=>{this.updateAttribute(\"filters\",this.model.filters,!0)})),this.connect(this.model.properties.sort.change,(()=>{this.updateAttribute(\"sort\",this.model.sort,!0)})),this.connect(this.model.properties.plugin.change,(()=>{this.updateAttribute(\"plugin\",this.model.plugin,!1)})),this.connect(this.model.properties.selectable.change,(()=>{this.updateAttribute(\"selectable\",this.model.selectable,!0)})),this.connect(this.model.properties.editable.change,(()=>{this.updateAttribute(\"editable\",this.model.editable,!0)})),this.connect(this.model.properties.theme.change,(()=>this.updateTheme())),null!=this.model.document&&(this._event_listener=e=>this.on_event(e),this.model.document.on_change(this._event_listener))}disconnect_signals(){null!=this._config_listener&&this.perspective_element.removeEventListener(\"perspective-config-update\",this._config_listener),this._config_listener=null,null!=this.model.document&&null!=this._event_listener&&this.model.document.remove_on_change(this._event_listener),this._event_listener=null,super.disconnect_signals()}render(){super.render(),this.worker=window.perspective.worker(),this.table=this.worker.table(this.model.schema),this.table.update(this.data);const e=(0,l.div)({class:\"pnx-perspective-viewer\",style:{zIndex:0}});(0,c.set_size)(e,this.model),e.innerHTML=this.getInnerHTML(),this.perspective_element=e.children[0],(0,c.set_size)(this.perspective_element,this.model),this.el.appendChild(e),this.perspective_element.load(this.table).then((()=>{this.update_config(),this._config_listener=()=>this.sync_config(),this.model.toggle_config&&this.perspective_element.toggleConfig(),this.perspective_element.addEventListener(\"perspective-config-update\",this._config_listener),this._loaded=!0}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout()}sync_config(){if(this._updating)return;const e=this.perspective_element.save(),t={};for(const i in e){const s=i.replace(\"-\",\"_\"),n=e[i];void 0===n||\"plugin\"==s&&\"debug\"===n||(t[s]=n)}this._updating=!0,this.model.setv(t),this._updating=!1}update_config(){if(this._updating)return;const e=this.perspective_element.save();for(const t in e){const i=t.replace(\"-\",\"_\");let s=this.model.property(i).get_value();e[t]!==s&&(this._updating=!0,\"plugin\"!==i&&(s=JSON.stringify(s)),this.perspective_element.setAttribute(t,s),this._updating=!1)}}on_event(e){null!=(e=e.hint)&&null!=e.column_source&&e.column_source.id==this.model.source.id&&(void 0!==e.rollover?this.stream(e.data,e.rollover):void 0!==e.patches&&this.patch(e.patches))}get data(){const e={};for(const t of this.model.source.columns())e[t]=this.model.source.get_array(t);return e}stream(e,t){this._loaded&&(null==t?this.table.update(e):this.table.replace(this.data))}patch(e){this.table.replace(this.data)}getInnerHTML(){let e=\"<perspective-viewer style='height:100%;width:100%;'\";var t,i;return e+=(t=\"class\",null==(i=a(this.model.theme))?\"\":(\"string\"!=typeof i&&(i=JSON.stringify(i)),\" \"+t+\"='\"+i+\"'\")),e+=\"></perspective-viewer>\",e}setData(){this._loaded&&this.table.load(this.data)}updateAttribute(e,t,i){if(this._updating)return;t!=this.perspective_element.save()[e]&&(i&&(t=JSON.stringify(t)),this._updating=!0,this.perspective_element.setAttribute(e,t),this._updating=!1)}updateTheme(){let e=this.perspective_element.getAttribute(\"class\"),t=this.toNewClassAttribute(e,this.model.theme);this.perspective_element.setAttribute(\"class\",t)}toNewClassAttribute(e,t){let i=[];return null!=e&&(i=e.split(\" \").filter(p)),i.push(a(t)),i.join(\" \")}}i.PerspectiveView=u,u.__name__=\"PerspectiveView\";class d extends o.HTMLBox{constructor(e){super(e)}static init_Perspective(){this.prototype.default_view=u,this.define((({Any:e,Array:t,Boolean:i,Ref:s,Nullable:n,String:o})=>({aggregates:[e],column_pivots:[n(t(o))],columns:[t(o)],computed_columns:[n(t(o))],editable:[n(i)],filters:[n(t(e))],plugin:[o],plugin_config:[e],row_pivots:[n(t(o))],selectable:[n(i)],schema:[e,{}],toggle_config:[i,!0],sort:[n(t(t(o)))],source:[s(r.ColumnDataSource)],theme:[o]})))}}i.Perspective=d,d.__name__=\"Perspective\",d.__module__=\"panel.models.perspective\",d.init_Perspective()},\n      \"2e8044c920\": function _(e,t,i,s,o){s();const l=e(\"@bokehjs/core/kinds\"),n=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/models/widgets/widget\");function r(e){e.forEach((e=>e.style.borderStyle=\"inset\"))}function d(e){e.forEach((e=>e.style.borderStyle=\"outset\"))}class h extends a.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render())),this.connect(this.model.properties.loop_policy.change,(()=>this.set_loop_state(this.model.loop_policy))),this.connect(this.model.properties.disabled.change,(()=>this.toggle_disable())),this.connect(this.model.properties.show_loop_controls.change,(()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.groupEl.removeChild(this.loop_state)}))}toggle_disable(){this.sliderEl.disabled=this.model.disabled;for(const e of this.buttonEl.children){e.disabled=this.model.disabled}for(const e of this.loop_state.children)if(\"input\"==e.tagName){e.disabled=this.model.disabled}}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=(0,n.div)(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=(0,n.div)();this.buttonEl=e,e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",i=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",s=document.createElement(\"button\");s.style.cssText=t,s.appendChild(document.createTextNode(\"\\u2013\")),s.onclick=()=>this.slower(),e.appendChild(s);const o=document.createElement(\"button\");o.style.cssText=i,o.appendChild(document.createTextNode(\"\\u275a\\u25c0\\u25c0\")),o.onclick=()=>this.first_frame(),e.appendChild(o);const l=document.createElement(\"button\");l.style.cssText=i,l.appendChild(document.createTextNode(\"\\u275a\\u25c0\")),l.onclick=()=>this.previous_frame(),e.appendChild(l);const a=document.createElement(\"button\");a.style.cssText=i,a.appendChild(document.createTextNode(\"\\u25c0\")),a.onclick=()=>this.reverse_animation(),e.appendChild(a);const h=document.createElement(\"button\");h.style.cssText=i,h.appendChild(document.createTextNode(\"\\u275a\\u275a\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const c=document.createElement(\"button\");c.style.cssText=i,c.appendChild(document.createTextNode(\"\\u25b6\")),c.onclick=()=>this.play_animation(),e.appendChild(c);const p=document.createElement(\"button\");p.style.cssText=i,p.appendChild(document.createTextNode(\"\\u25b6\\u275a\")),p.onclick=()=>this.next_frame(),e.appendChild(p);const m=document.createElement(\"button\");m.style.cssText=i,m.appendChild(document.createTextNode(\"\\u25b6\\u25b6\\u275a\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{d([h,c]),r([a])},this._toogle_pause=()=>{d([a,c]),r([h])},this._toggle_play=()=>{d([a,h]),r([c])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.toggle_disable(),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var i=e[t];if(i.checked)return i.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,i=0;i<t.length;i++){var s=t[i];s.value==e&&(s.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval((()=>this.anim_step_forward()),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval((()=>this.anim_step_reverse()),this.model.interval))}}i.PlayerView=h,h.__name__=\"PlayerView\",i.LoopPolicy=(0,l.Enum)(\"once\",\"loop\",\"reflect\");class c extends a.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t})=>({direction:[t,0],interval:[t,500],start:[t,0],end:[t,10],step:[t,1],loop_policy:[i.LoopPolicy,\"once\"],value:[t,0],show_loop_controls:[e,!0]}))),this.override({width:400})}}i.Player=c,c.__name__=\"Player\",c.__module__=\"panel.models.widgets\",c.init_Player()},\n      \"cb7735fd77\": function _(t,e,o,i,l){i();const r=t(\"@bokehjs/core/dom\"),s=t(\"@bokehjs/core/util/object\"),a=t(\"@bokehjs/core/util/eq\"),n=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"@bokehjs/models/sources/column_data_source\"),_=t(\"99a25e6992\"),h=t(\"990b5dd5c7\"),u=t(\"4c755983eb\"),d=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let r={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||(0,h.isPlainObject)(e)||(r[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(r.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(r.pointNumbers=i.pointNumbers)),o[t]=r}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class y extends u.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=(0,_.debounce)((()=>{this._relayouting=!1}),2e3,!1)}initialize(){super.initialize(),this._layout_wrapper=(0,r.div)({style:\"height: 100%; width: 100%;\"})}connect_signals(){super.connect_signals();const{data:t,data_sources:e,layout:o,relayout:i,restyle:l}=this.model.properties;this.on_change([t,e,o],(()=>{const t=this.model._render_count;setTimeout((()=>{this.model._render_count===t&&(this.model._render_count+=1)}),250)})),this.on_change([i],(()=>{null!=this.model.relayout&&(window.Plotly.relayout(this._layout_wrapper,this.model.relayout),this.model.relayout=null)})),this.on_change([l],(()=>{null!=this.model.restyle&&(window.Plotly.restyle(this._layout_wrapper,this.model.restyle.data,this.model.restyle.traces),this.model.restyle=null)})),this.connect(this.model.properties.viewport_update_policy.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties.viewport_update_throttle.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties._render_count.change,(()=>{this.plot()})),this.connect(this.model.properties.viewport.change,(()=>this._updateViewportFromProperty())),this.connect(this.model.properties.visibility.change,(()=>{this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\"}))}async render(){super.render(),this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\",this.el.appendChild(this._layout_wrapper),await this.plot(),window.Plotly.relayout(this._layout_wrapper,this.model.relayout)}_trace_data(){const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));return t}_layout_data(){const t=(0,h.deepCopy)(this.model.layout);if(this._relayouting){const{layout:e}=this._layout_wrapper;Object.keys(e).reduce(((e,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in e&&(t[o].range=e.range)}),{})}return t}_install_callbacks(){this._layout_wrapper.on(\"plotly_relayout\",(t=>{!0!==t._update_from_property&&(this.model.relayout_data=d(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())})),this._layout_wrapper.on(\"plotly_relayouting\",(()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())})),this._layout_wrapper.on(\"plotly_restyle\",(t=>{this.model.restyle_data=d(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()})),this._layout_wrapper.on(\"plotly_click\",(t=>{this.model.click_data=d(this._layout_wrapper,t,\"click\")})),this._layout_wrapper.on(\"plotly_hover\",(t=>{this.model.hover_data=d(this._layout_wrapper,t,\"hover\")})),this._layout_wrapper.on(\"plotly_selected\",(t=>{this.model.selected_data=d(this._layout_wrapper,t,\"selected\")})),this._layout_wrapper.on(\"plotly_clickannotation\",(t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t})),this._layout_wrapper.on(\"plotly_deselect\",(()=>{this.model.selected_data=null})),this._layout_wrapper.on(\"plotly_unhover\",(()=>{this.model.hover_data=null}))}async plot(){if(!window.Plotly)return;const t=this._trace_data(),e=this._layout_data();var o,i;this._reacting=!0,await window.Plotly.react(this._layout_wrapper,t,e,this.model.config),this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized?(o=this._layout_wrapper,(i=window.getComputedStyle(o).display)&&\"none\"!==i&&window.Plotly.Plots.resize(this._layout_wrapper)):this._install_callbacks(),this._reacting=!1,this._plotInitialized=!0}after_layout(){super.after_layout(),(0,u.set_size)(this.el,this.model),window.Plotly&&this._plotInitialized&&window.Plotly.Plots.resize(this._layout_wrapper)}_get_trace(t,e){const o=(0,s.clone)(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let r=t.split(\".\"),s=r[r.length-1],a=o;for(let t of r.slice(0,-1))a=a[t];e&&1==r.length?a[s]=[l]:a[s]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce(((e,o)=>{if((0,a.isEqual)((0,h.get)(t,o),e))return!0;{let t=(0,h.deepCopy)(this.model.viewport);return t._update_from_property=!0,this._settingViewport=!0,window.Plotly.relayout(this.el,t).then((()=>{this._settingViewport=!1})),!1}}),{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=(0,h.deepCopy)(t[o].range))}(0,a.isEqual)(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=(0,h.throttle)((t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}),this.model.viewport_update_throttle)}}o.PlotlyPlotView=y,y.__name__=\"PlotlyPlotView\";class c extends n.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=y,this.define((({Array:t,Any:e,Boolean:o,Ref:i,String:l,Nullable:r,Number:s})=>({data:[t(e),[]],layout:[e,{}],config:[e,{}],data_sources:[t(i(p.ColumnDataSource)),[]],relayout:[r(e),{}],restyle:[r(e),{}],relayout_data:[e,{}],restyle_data:[t(e),[]],click_data:[e,{}],hover_data:[e,{}],clickannotation_data:[e,{}],selected_data:[e,{}],viewport:[e,{}],viewport_update_policy:[l,\"mouseup\"],viewport_update_throttle:[s,200],visibility:[o,!0],_render_count:[s,0]})))}}o.PlotlyPlot=c,c.__name__=\"PlotlyPlot\",c.__module__=\"panel.models.plotly\",c.init_PlotlyPlot()},\n      \"990b5dd5c7\": function _(t,n,r,e,o){e();r.get=(t,n,r)=>{const e=r=>String.prototype.split.call(n,r).filter(Boolean).reduce(((t,n)=>null!=t?t[n]:t),t),o=e(/[,[\\]]+?/)||e(/[,[\\].]+?/);return void 0===o||o===t?r:o},r.throttle=function(t,n){var r=0;return function(){var e=Number(new Date);e-r>=n&&(t(),r=e)}},r.deepCopy=function t(n){var r;if(null==n||\"object\"!=typeof n)return n;if(n instanceof Array){r=[];for(var e=0,o=n.length;e<o;e++)r[e]=t(n[e]);return r}if(n instanceof Object){const r={};for(const e in n){const o=e;n.hasOwnProperty(o)&&(r[o]=t(n[o]))}return r}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},r.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"fd3806082d\": function _(e,s,t,i,o){i();const r=(0,e(\"tslib\").__importStar)(e(\"@bokehjs/core/properties\")),l=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"4c755983eb\");class n extends l.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,(()=>this.setCSS())),this.connect(this.model.properties.bar_color.change,(()=>this.setCSS())),this.connect(this.model.properties.css_classes.change,(()=>this.setCSS())),this.connect(this.model.properties.value.change,(()=>this.setValue())),this.connect(this.model.properties.max.change,(()=>this.setMax()))}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),(0,h.set_size)(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null==this.model.value?this.progressEl.value=0:this.model.value>=0?this.progressEl.value=this.model.value:this.model.value<0&&this.progressEl.removeAttribute(\"value\"),console.log(this.progressEl)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new h.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=n,n.__name__=\"ProgressView\";class c extends l.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=n,this.define({active:[r.Boolean,!0],bar_color:[r.String,\"primary\"],style:[r.Any,{}],max:[r.Number,100],value:[r.Any,null]})}}t.Progress=c,c.__name__=\"Progress\",c.__module__=\"panel.models.widgets\",c.init_Progress()},\n      \"6895629dfc\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/core/dom\"),n=t(\"@bokehjs/models/layouts/html_box\"),r=t(\"4c755983eb\");class h extends r.PanelHTMLBoxView{initialize(){super.initialize(),this._container=(0,s.div)({})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.quill.enable(!this.model.disabled))),this.connect(this.model.properties.text.change,(()=>{this._editing||(this._editing=!0,this.quill.setContents([]),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this._editing=!1)}));const{mode:t,toolbar:e}=this.model.properties;this.on_change([t,e],(()=>{this.render(),this._layout_toolbar()}))}_layout_toolbar(){if(null==this._toolbar)this.el.style.removeProperty(\"padding-top\");else{const t=this._toolbar.getBoundingClientRect().height+1;this.el.style.paddingTop=t+\"px\",this._toolbar.style.marginTop=-t+\"px\"}}render(){super.render(),this.el.appendChild(this._container);const t=\"bubble\"===this.model.mode?\"bubble\":\"snow\";this.quill=new window.Quill(this._container,{modules:{toolbar:this.model.toolbar},placeholder:this.model.placeholder,theme:t}),this._editor=this.el.querySelector(\".ql-editor\"),this._toolbar=this.el.querySelector(\".ql-toolbar\"),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.on(\"text-change\",(()=>{this._editing||(this._editing=!0,this.model.text=this._editor.innerHTML,this._editing=!1)}))}after_layout(){super.after_layout(),this._layout_toolbar()}}i.QuillInputView=h,h.__name__=\"QuillInputView\";class a extends n.HTMLBox{constructor(t){super(t)}static init_QuillInput(){this.prototype.default_view=h,this.define((({Any:t,Boolean:e,String:i})=>({mode:[i,\"toolbar\"],placeholder:[i,\"\"],readonly:[e,!1],text:[i,\"\"],toolbar:[t,null]}))),this.override({height:300})}}i.QuillInput=a,a.__name__=\"QuillInput\",a.__module__=\"panel.models.quill\",a.init_QuillInput()},\n      \"eb3a49319b\": function _(e,t,n,s,i){s();const o=e(\"6f11f2ef27\"),l=e(\"4c02a9b43f\"),r=e(\"b3f51db71c\"),c=e(\"@bokehjs/core/build_views\"),a=e(\"@bokehjs/core/util/types\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/util/color\"),u=e(\"f1971f81bf\"),m=e(\"3329d4aa5b\"),p=e(\"c424a3bd17\"),f=e(\"4c755983eb\");function v(e,t,n){const s={};for(const e of n)s[`{${e}}`]=\"(.*)\";const i=[];let o=\"^\"+(e.replace(/[-\\/\\\\^$*+?.()|[\\]]/g,\"\\\\$&\")+\"$\");let l,r,c;for(const t in s)if(r=e.indexOf(t),r>-1){for(o=o.replace(t,s[t]),c={index:r,token:t},l=0;l<i.length&&i[l].index<r;l++);l<i.length?i.splice(l,0,c):i.push(c)}o=o.replace(/\\{[^{}]+\\}/g,\".*\");var a=new RegExp(o).exec(t);let d=null;if(a)for(d={},l=0;l<i.length;l++)d[i[l].token.slice(1,-1)]=a[l+1];return d}class g extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._parent=null,this._changing=!1,this._event_listeners={},this._mutation_observers=[],this._script_fns={},this._state={}}initialize(){super.initialize(),this.html=(0,p.htmlDecode)(this.model.html)||this.model.html}_recursive_connect(e,t,n){for(const s in e.properties){let i;i=n.length?`${n}.${s}`:s;const o=e[s];null!=o&&(null!=o.properties&&this._recursive_connect(o,!0,i),this.connect(e.properties[s].change,(()=>{if(t)for(const t in this.model.children)if(this.model.children[t]==s){let n=e[s];return(0,a.isArray)(n)||(n=[n]),this._render_node(t,n),void this.invalidate_layout()}this._changing||(this._update(i),this.invalidate_layout())})))}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(async()=>{this.html=(0,p.htmlDecode)(this.model.html)||this.model.html,await this.rebuild(),this.invalidate_layout()})),this._recursive_connect(this.model.data,!0,\"\"),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()})),this.connect_scripts()}connect_scripts(){const e=this.model.data.id;for(let t in this.model.scripts){const n=this.model.scripts[t];let s,i=this.model.data;if(t.indexOf(\".\")>=0){const e=t.split(\".\");s=e[e.length-1];for(const t of e.slice(0,-1))i=i[t]}else s=t;for(const o of n){const n=(0,p.htmlDecode)(o)||o,l=this._render_script(n,e);this._script_fns[t]=l;const r=i.properties[s];null!=r&&this.connect(r.change,(()=>{this._changing||this.run_script(t)}))}}}run_script(e,t=!1){const n=this._script_fns[e];if(void 0===n)return void(t||console.log(`Script '${e}' could not be found.`));const s={get_records:(e,t)=>this.get_records(e,t)};for(const e in this._script_fns)s[e]=()=>this.run_script(e);return n(this.model,this.model.data,this._state,this,(e=>this.run_script(e)),s)}get_records(e,t=!0){return(0,u.dict_to_records)(this.model.data[e],t)}disconnect_signals(){super.disconnect_signals(),this._remove_event_listeners(),this._remove_mutation_observers(),this.run_script(\"remove\",!0)}get child_models(){const e=[];for(const t in this.model.children)for(const n of this.model.children[t])\"string\"!=typeof n&&e.push(n);return e}async build_child_views(){await(0,c.build_views)(this._child_views,this.child_models,{parent:null})}compute_layout(){this.root!=this?super.compute_layout():(this.update_position(),this.after_layout(),this.notify_finished())}after_layout(){for(const e of this.child_views)e.after_layout();this.run_script(\"after_layout\",!0),this._has_finished=!0}update_layout(){for(const e of this.child_views)this._align_view(e),e.compute_viewport(),e.update_layout(),e.compute_layout();this.root!=this&&this._update_layout()}_align_view(e){const{align:t}=e.model;let n,s;(0,a.isArray)(t)?[n,s]=t:n=s=t,\"center\"===n?(e.el.style.marginLeft=\"auto\",e.el.style.marginRight=\"auto\"):\"end\"===n&&(e.el.style.marginLeft=\"auto\"),\"center\"===s?(e.el.style.marginTop=\"auto\",e.el.style.marginBottom=\"auto\"):\"end\"===s&&(e.el.style.marginTop=\"auto\")}render(){(0,h.empty)(this.el);const{background:e}=this.model;this.el.style.backgroundColor=null!=e?(0,_.color2css)(e):\"\",(0,h.classes)(this.el).clear().add(...this.css_classes()),this._update(),this._render_children(),this._setup_mutation_observers(),this._setup_event_listeners(),this.run_script(\"render\",!0)}_send_event(e,t,n){let s=(0,m.serializeEvent)(n);s.type=t,this.model.trigger_event(new p.DOMEvent(e,s))}_render_child(e,t){const n=this._child_views.get(e);null==n?t.innerHTML=(0,p.htmlDecode)(e)||e:(n._parent=this,n.renderTo(t))}resize_layout(){null!=this._parent&&this._parent.resize_layout(),this.root!=this&&super.resize_layout()}invalidate_layout(){null!=this._parent&&this._parent.invalidate_layout(),this.root!=this&&super.invalidate_layout()}update_position(){if(this.root!=this)return void super.update_position();this.el.style.display=this.model.visible?\"block\":\"none\",(0,f.set_size)(this.el,this.model);let{margin:e}=this.model,t=null;if(null==e)this.el.style.margin=\"\";else{if((0,a.isNumber)(e))t={top:e,right:e,bottom:e,left:e};else if(2==e.length){const[n,s]=e;t={top:n,right:s,bottom:n,left:s}}else{const[n,s,i,o]=e;t={top:n,right:s,bottom:i,left:o}}const{top:n,right:s,bottom:i,left:o}=t;this.el.style.padding=`${n}px ${s}px ${i}px ${o}px`}for(const e of this.child_views)e.update_position()}_render_node(e,t){const n=this.model.data.id;if(this.model.looped.indexOf(e)>-1)for(let s=0;s<t.length;s++){let i=document.getElementById(`${e}-${s}-${n}`);null!=i?this._render_child(t[s],i):console.warn(`DOM node '${e}-${s}-${n}' could not be found. Cannot render children.`)}else{let s=document.getElementById(`${e}-${n}`);if(null==s)return void console.warn(`DOM node '${e}-${n}' could not be found. Cannot render children.`);for(const e of t)this._render_child(e,s)}}_render_children(){for(const e in this.model.children){let t=this.model.children[e];\"string\"==typeof t&&(t=this.model.data[t],(0,a.isArray)(t)||(t=[t])),this._render_node(e,t)}}_render_html(e,t={}){let n=e,s=\"\";const i=[];for(const e in this.model.callbacks)for(const t of this.model.callbacks[e]){const[o,l]=t;let r;if(n=n.replace(\"${\"+l,\"$--{\"+l),l.startsWith(\"script(\")){const e=l.replace(\"('\",\"_\").replace(\"')\",\"\").replace('(\"',\"_\").replace('\")',\"\").replace(\"-\",\"_\"),t=e.replace(\"script_\",\"\");n=n.replace(l,e),r=`\\n          const ${e} = (event) => {\\n            view._state.event = event\\n            view.run_script(\"${t}\")\\n            delete view._state.event\\n          }\\n          `}else r=`\\n          const ${l} = (event) => {\\n            view._send_event(\"${e}\", \"${o}\", event)\\n          }\\n          `;i.indexOf(l)>-1||(i.push(l),s+=r)}return n=n.replaceAll(\"${model.\",\"$-{model.\").replaceAll(\"${\",\"${data.\").replaceAll(\"$-{model.\",\"${model.\").replaceAll(\"$--{\",\"${\"),new Function(\"view, model, data, state, html, useCallback\",s+\"return html`\"+n+\"`;\")(this,this.model,this.model.data,t,r.html,l.useCallback)}_render_script(e,t){const n=[];for(const s of this.model.nodes){if(s in this.model.children&&\"string\"!=typeof this.model.children[s])continue;const i=s.replace(\"-\",\"_\");if(-1===e.indexOf(i))continue;const o=`\\n      const ${i} = document.getElementById('${s}-${t}')\\n      if (${i} == null) {\\n        console.warn(\"DOM node '${s}' could not be found. Cannot execute callback.\")\\n        return\\n      }\\n      `;n.push(o)}return n.push(\"\\n    if (state.event !== undefined) {\\n      const event = state.event\\n    }\\n    \"),n.push(e),new Function(\"model, data, state, view, script, self\",n.join(\"\\n\"))}_remove_mutation_observers(){for(const e of this._mutation_observers)e.disconnect();this._mutation_observers=[]}_setup_mutation_observers(){const e=this.model.data.id;for(const t in this.model.attrs){const n=document.getElementById(`${t}-${e}`);if(null==n){console.warn(`DOM node '${t}-${e}' could not be found. Cannot set up MutationObserver.`);continue}const s=new MutationObserver((()=>{this._update_model(n,t)}));s.observe(n,{attributes:!0}),this._mutation_observers.push(s)}}_remove_event_listeners(){const e=this.model.data.id;for(const t in this._event_listeners){const n=document.getElementById(`${t}-${e}`);if(null!=n)for(const e in this._event_listeners[t]){const s=this._event_listeners[t][e];n.removeEventListener(e,s)}}this._event_listeners={}}_setup_event_listeners(){const e=this.model.data.id;for(const t in this.model.events){const n=document.getElementById(`${t}-${e}`);if(null==n){console.warn(`DOM node '${t}-${e}' could not be found. Cannot subscribe to DOM events.`);continue}const s=this.model.events[t];for(const e in s){const i=i=>{this._send_event(t,e,i),t in this.model.attrs&&s[e]&&this._update_model(n,t)};n.addEventListener(e,i),t in this._event_listeners||(this._event_listeners[t]={}),this._event_listeners[t][e]=i}}}_update(e=null){if(null==e||this.html.indexOf(`\\${${e}}`)>-1){const e=this._render_html(this.html);try{this._changing=!0,(0,o.render)(e,this.el)}finally{this._changing=!1}}}_update_model(e,t){if(this._changing)return;const n={};for(const s of this.model.attrs[t]){const[i,o,l]=s;let r=\"children\"===i?e.innerHTML:e[i];if(1===o.length&&`{${o[0]}}`===l)n[o[0]]=r;else if(\"string\"==typeof r)if(r=v(l,r,o),null==r)console.warn(`Could not resolve parameters in ${t} element ${i} attribute value ${r}.`);else for(const e in r)void 0===r[e]?console.warn(`Could not resolve ${e} in ${t} element ${i} attribute value ${r}.`):n[e]=r[e]}try{this._changing=!0,this.model.data.setv(function(e){const t={};for(const n in e){let s=e[n];\"string\"!=typeof s?s=s:\"\"===s||\"NaN\"!==s&&isNaN(Number(s))?\"false\"!==s&&\"true\"!==s||(s=\"true\"===s):s=Number(s),t[n]=s}return t}(n))}catch(e){console.log(\"Could not serialize\",n)}finally{this._changing=!1}}}n.ReactiveHTMLView=g,g.__name__=\"ReactiveHTMLView\";class $ extends d.HTMLBox{constructor(e){super(e)}static init_ReactiveHTML(){this.prototype.default_view=g,this.define((({Array:e,Any:t,String:n})=>({attrs:[t,{}],callbacks:[t,{}],children:[t,{}],data:[t],events:[t,{}],html:[n,\"\"],looped:[e(n),[]],nodes:[e(n),[]],scripts:[t,{}]})))}}n.ReactiveHTML=$,$.__name__=\"ReactiveHTML\",$.__module__=\"panel.models.reactive_html\",$.init_ReactiveHTML()},\n      \"5ed2116e26\": function _(e,t,s,i,n){i();const l=e(\"tslib\"),o=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/util/types\"),r=e(\"@bokehjs/models/widgets/input_widget\"),h=(0,l.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\"));class d extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,s;return(0,c.isString)(e)?t=s=e:[t,s]=e,(0,o.option)({value:t},s)}));this.select_el=(0,o.select)({multiple:!1,class:h.input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=d,d.__name__=\"SingleSelectView\";class a extends r.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=d,this.define((({Any:e,Array:t,Int:s,String:i})=>({value:[i,\"\"],options:[t(e),[]],size:[s,4]})))}}s.SingleSelect=a,a.__name__=\"SingleSelect\",a.__module__=\"panel.models.widgets\",a.init_SingleSelect()},\n      \"aaa48703af\": function _(t,e,i,o,n){o();const s=(0,t(\"tslib\").__importStar)(t(\"@bokehjs/core/properties\")),r=t(\"@bokehjs/models/layouts/html_box\"),h=\"Click to START the speech recognition.\",{webkitSpeechRecognition:a}=window,{webkitSpeechGrammarList:l}=window;class c extends r.HTMLBoxView{initialize(){var t,e;super.initialize(),this.recognition=new a,this.recognition.lang=this.model.lang,this.recognition.continuous=this.model.continuous,this.recognition.interimResults=this.model.interim_results,this.recognition.maxAlternatives=this.model.max_alternatives,this.recognition.serviceURI=this.model.service_uri,this.setGrammars(),this.recognition.onresult=t=>{this.model.results=function(t){const e=[];for(let o of t){let t=[],n={is_final:o.isFinal,alternatives:t};for(let e=0;e<o.length;e++){let n={confidence:(i=o[e].confidence,Math.round(100*(i+Number.EPSILON))/100),transcript:o[e].transcript};t.push(n)}n.alternatives=t,e.push(n)}var i;return e}(t.results)},this.recognition.onerror=t=>{console.log(\"SpeechToText Error\"),console.log(t)},this.recognition.onnomatch=t=>{console.log(\"SpeechToText No Match\"),console.log(t)},this.recognition.onaudiostart=()=>this.model.audio_started=!0,this.recognition.onaudioend=()=>this.model.audio_started=!1,this.recognition.onsoundstart=()=>this.model.sound_started=!0,this.recognition.onsoundend=()=>this.model.sound_started=!1,this.recognition.onspeechstart=()=>this.model.speech_started=!0,this.recognition.onspeechend=()=>this.model.speech_started=!1,this.recognition.onstart=()=>{this.buttonEl.onclick=()=>{this.recognition.stop()},this.buttonEl.innerHTML=this.iconStarted(),this.buttonEl.setAttribute(\"title\",\"Click to STOP the speech recognition.\"),this.model.started=!0},this.recognition.onend=()=>{this.buttonEl.onclick=()=>{this.recognition.start()},this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.setAttribute(\"title\",h),this.model.started=!1},this.buttonEl=(t=`<button class=\"bk bk-btn bk-btn-${this.model.button_type}\" type=\"button\" title=\"${h}\"></button>`,e=document.createElement(\"template\"),t=t.trim(),e.innerHTML=t,e.content.firstChild),this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.onclick=()=>this.recognition.start()}iconStarted(){return\"\"!==this.model.button_started?this.model.button_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic\" viewBox=\"0 0 16 16\">\\n  <path fill-rule=\"evenodd\" d=\"M3.5 6.5A.5.5 0 0 1 4 7v1a4 4 0 0 0 8 0V7a.5.5 0 0 1 1 0v1a5 5 0 0 1-4.5 4.975V15h3a.5.5 0 0 1 0 1h-7a.5.5 0 0 1 0-1h3v-2.025A5 5 0 0 1 3 8V7a.5.5 0 0 1 .5-.5z\"/>\\n  <path fill-rule=\"evenodd\" d=\"M10 8V3a2 2 0 1 0-4 0v5a2 2 0 1 0 4 0zM8 0a3 3 0 0 0-3 3v5a3 3 0 0 0 6 0V3a3 3 0 0 0-3-3z\"/>\\n</svg>'}iconNotStarted(){return\"\"!==this.model.button_not_started?this.model.button_not_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic-mute\" viewBox=\"0 0 16 16\">\\n<path fill-rule=\"evenodd\" d=\"M12.734 9.613A4.995 4.995 0 0 0 13 8V7a.5.5 0 0 0-1 0v1c0 .274-.027.54-.08.799l.814.814zm-2.522 1.72A4 4 0 0 1 4 8V7a.5.5 0 0 0-1 0v1a5 5 0 0 0 4.5 4.975V15h-3a.5.5 0 0 0 0 1h7a.5.5 0 0 0 0-1h-3v-2.025a4.973 4.973 0 0 0 2.43-.923l-.718-.719zM11 7.88V3a3 3 0 0 0-5.842-.963l.845.845A2 2 0 0 1 10 3v3.879l1 1zM8.738 9.86l.748.748A3 3 0 0 1 5 8V6.121l1 1V8a2 2 0 0 0 2.738 1.86zm4.908 3.494l-12-12 .708-.708 12 12-.708.707z\"/>\\n</svg>'}setIcon(){this.model.started?this.buttonEl.innerHTML=this.iconStarted():this.buttonEl.innerHTML=this.iconNotStarted()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.start.change,(()=>{this.model.start=!1,this.recognition.start()})),this.connect(this.model.properties.stop.change,(()=>{this.model.stop=!1,this.recognition.stop()})),this.connect(this.model.properties.abort.change,(()=>{this.model.abort=!1,this.recognition.abort()})),this.connect(this.model.properties.grammars.change,(()=>this.setGrammars())),this.connect(this.model.properties.lang.change,(()=>this.recognition.lang=this.model.lang)),this.connect(this.model.properties.continuous.change,(()=>this.recognition.continuous=this.model.continuous)),this.connect(this.model.properties.interim_results.change,(()=>this.recognition.interimResults=this.model.interim_results)),this.connect(this.model.properties.max_alternatives.change,(()=>this.recognition.maxAlternatives=this.model.max_alternatives)),this.connect(this.model.properties.service_uri.change,(()=>this.recognition.serviceURI=this.model.service_uri)),this.connect(this.model.properties.button_type.change,(()=>this.buttonEl.className=`bk bk-btn bk-btn-${this.model.button_type}`)),this.connect(this.model.properties.button_hide.change,(()=>this.render()));const{button_not_started:t,button_started:e}=this.model.properties;this.on_change([t,e],(()=>this.setIcon()))}setGrammars(){this.recognition.grammars=function(t){if(t){var e=new l;for(let i of t)i.src?e.addFromString(i.src,i.weight):i.uri&&e.addFromURI(i.uri,i.weight);return e}return null}(this.model.grammars)}render(){super.render(),this.model.button_hide||this.el.appendChild(this.buttonEl)}}i.SpeechToTextView=c,c.__name__=\"SpeechToTextView\";class d extends r.HTMLBox{constructor(t){super(t)}static init_SpeechToText(){this.prototype.default_view=c,this.define({start:[s.Boolean,!1],stop:[s.Boolean,!1],abort:[s.Boolean,!1],grammars:[s.Array,[]],lang:[s.String,\"\"],continuous:[s.Boolean,!1],interim_results:[s.Boolean,!1],max_alternatives:[s.Number,1],service_uri:[s.String],started:[s.Boolean,!1],audio_started:[s.Boolean,!1],sound_started:[s.Boolean,!1],speech_started:[s.Boolean,!1],button_type:[s.String,\"light\"],button_hide:[s.Boolean,!1],button_not_started:[s.String,\"\"],button_started:[s.String,\"\"],results:[s.Array,[]]})}}i.SpeechToText=d,d.__name__=\"SpeechToText\",d.__module__=\"panel.models.speech_to_text\",d.init_SpeechToText()},\n      \"bfa46a5f19\": function _(e,t,s,a,i){a();const o=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/core/util/array\"),n=e(\"@bokehjs/model\"),h=e(\"@bokehjs/protocol/receiver\");class _ extends o.View{renderTo(){}}s.StateView=_,_.__name__=\"StateView\";class r extends n.Model{constructor(e){super(e),this._receiver=new h.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let a=this.state;for(const e of this.values)a=a[e];a===t?this.apply_state(s):this._cache[a]&&this.apply_state(this._cache[a])}set_state(e,t){let s=(0,c.copy)(this.values);s[this.widgets[e.id]]=t;let a=this.state;for(const e of s)a=a[e];var i,o,n;this.values=s,this.json?this._cache[a]?this.apply_state(this._cache[a]):(i=a,o=e=>this._receive_json(e,a),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",i,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&o(n.responseText)},n.send(null)):this.apply_state(a)}static init_State(){this.prototype.default_view=_,this.define((({Any:e,Boolean:t})=>({json:[t,!1],state:[e,{}],widgets:[e,{}],values:[e,[]]})))}}s.State=r,r.__name__=\"State\",r.__module__=\"panel.models.state\",r.init_State()},\n      \"edf66f5228\": function _(e,t,n,i,s){i();const r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/core/bokeh_events\"),l=e(\"4c755983eb\");class h extends a.ModelEvent{constructor(e){super(),this.key=e,this.event_name=\"keystroke\"}_to_json(){return{model:this.origin,key:this.key}}}n.KeystrokeEvent=h,h.__name__=\"KeystrokeEvent\";class d extends l.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.output.change,this.write),this.connect(this.model.properties._clears.change,this.clear)}render(){super.render(),this.container=(0,o.div)({class:\"terminal-container\"}),(0,l.set_size)(this.container,this.model),this.term=this.getNewTerminal(),this.term.onData((e=>{this.handleOnData(e)})),this.webLinksAddon=this.getNewWebLinksAddon(),this.term.loadAddon(this.webLinksAddon),this.term.open(this.container),this.term.onRender((()=>{this._rendered||this.fit()})),this.write(),this.el.appendChild(this.container)}getNewTerminal(){const e=window;return e.Terminal?new e.Terminal(this.model.options):new e.xtermjs.Terminal(this.model.options)}getNewWebLinksAddon(){return new window.WebLinksAddon.WebLinksAddon}handleOnData(e){this.model.trigger_event(new h(e))}write(){const e=this.model.output;if(null==e||!e.length)return;const t=e.replace(/\\r?\\n/g,\"\\r\\n\");this.term.write(t)}clear(){this.term.clear()}fit(){const e=this.layout.inner_bbox.width,t=this.layout.inner_bbox.height,n=this.term._core._renderService,i=n.dimensions.actualCellWidth,s=n.dimensions.actualCellHeight;if(0===i||0===s)return;const r=Math.max(2,Math.floor(e/i)),o=Math.max(1,Math.floor(t/s));this.term.rows===o&&this.term.cols===r||this.term.resize(r,o),this.model.ncols=r,this.model.nrows=o,this._rendered=!0}after_layout(){super.after_layout(),this.fit()}resize_layout(){super.resize_layout(),this.fit()}}n.TerminalView=d,d.__name__=\"TerminalView\";class m extends r.HTMLBox{constructor(e){super(e)}static init_Terminal(){this.prototype.default_view=d,this.define((({Any:e,Int:t,String:n})=>({_clears:[t,0],options:[e,{}],output:[n],ncols:[t],nrows:[t]})))}}n.Terminal=m,m.__name__=\"Terminal\",m.__module__=\"panel.models.terminal\",m.init_Terminal()},\n      \"33cd2c254e\": function _(e,s,i,t,n){t();const h=e(\"@bokehjs/models/layouts/html_box\");function o(e){var s=[];for(let t of e){var i={default:t.default,lang:t.lang,local_service:t.localService,name:t.name,voice_uri:t.voiceURI};s.push(i)}return s}class c extends h.HTMLBoxView{initialize(){super.initialize(),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending,this.model.speaking=speechSynthesis.speaking,this._callback=window.setInterval((function(){!speechSynthesis.paused&&speechSynthesis.speaking&&window.speechSynthesis.resume()}),1e4);const e=()=>{\"undefined\"!=typeof speechSynthesis&&(this.voices=speechSynthesis.getVoices(),this.voices&&(this.model.voices=o(this.voices)))};e(),\"undefined\"!=typeof speechSynthesis&&void 0!==speechSynthesis.onvoiceschanged&&(speechSynthesis.onvoiceschanged=e)}remove(){null!=this._callback&&clearInterval(this._callback),speechSynthesis.cancel(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.speak.change,(()=>{this.speak()})),this.connect(this.model.properties.pause.change,(()=>{this.model.pause=!1,speechSynthesis.pause()})),this.connect(this.model.properties.resume.change,(()=>{this.model.resume=!1,speechSynthesis.resume()})),this.connect(this.model.properties.cancel.change,(()=>{this.model.cancel=!1,speechSynthesis.cancel()}))}speak(){let e=new SpeechSynthesisUtterance(this.model.speak.text);if(e.pitch=this.model.speak.pitch,e.volume=this.model.speak.volume,e.rate=this.model.speak.rate,this.model.voices)for(let s of this.voices)s.name===this.model.speak.voice&&(e.voice=s);e.onpause=()=>this.model.paused=!0,e.onstart=()=>{this.model.speaking=!0,this.model.paused=!1,this.model.pending=speechSynthesis.pending},e.onresume=()=>this.model.paused=!1,e.onend=()=>{this.model.speaking=!1,this.model.paused=!1,this.model.pending=speechSynthesis.pending},speechSynthesis.speak(e),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending}render(){super.render(),this.model.voices||(this.model.voices=o(this.voices)),null!=this.model.speak&&this.model.speak.text&&this.speak()}}i.TextToSpeechView=c,c.__name__=\"TextToSpeechView\";class p extends h.HTMLBox{constructor(e){super(e)}static init_TextToSpeech(){this.prototype.default_view=c,this.define((({Any:e,Array:s,Boolean:i})=>({paused:[i,!1],pending:[i,!1],speaking:[i,!1],voices:[s(e),[]],cancel:[i,!1],pause:[i,!1],resume:[i,!1],speak:[e,{}]})))}}i.TextToSpeech=p,p.__name__=\"TextToSpeech\",p.__module__=\"panel.models.text_to_speech\",p.init_TextToSpeech()},\n      \"effe070807\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/models/layouts/html_box\"),h=t(\"@bokehjs/core/build_views\"),a=t(\"@bokehjs/models/plots\"),n=t(\"@bokehjs/models/glyphs\"),d=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/models/sources/column_data_source\"),c=t(\"@bokehjs/models/formatters\");class p extends s.HTMLBoxView{initialize(){super.initialize(),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%;\"}),this.titleDiv=(0,d.div)({style:\"font-size: 1em; word-wrap: break-word;\"}),this.valueDiv=(0,d.div)({style:\"font-size: 2em\"}),this.value2Div=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.changeDiv=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.textDiv=(0,d.div)({},this.titleDiv,this.valueDiv,(0,d.div)({},this.changeDiv,this.value2Div)),this.updateTitle(),this.updateValue(),this.updateValue2(),this.updateValueChange(),this.updateTextFontSize(),this.plotDiv=(0,d.div)({}),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%\"},this.textDiv,this.plotDiv),this.updateLayout()}connect_signals(){super.connect_signals();const{pos_color:t,neg_color:e}=this.model.properties;this.on_change([t,e],(()=>this.updateValueChange()));const{plot_color:i,plot_type:l,width:o,height:s,sizing_mode:h}=this.model.properties;this.on_change([i,l,o,s,h],(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.updateTitle(!0))),this.connect(this.model.properties.value.change,(()=>this.updateValue(!0))),this.connect(this.model.properties.value_change.change,(()=>this.updateValue2(!0))),this.connect(this.model.properties.layout.change,(()=>this.updateLayout()))}async render(){super.render(),this.el.appendChild(this.containerDiv),await this.setPlot()}async setPlot(){this.plot=new a.Plot({background_fill_color:null,border_fill_color:null,outline_line_color:null,min_border:0,sizing_mode:\"stretch_both\",toolbar_location:null});var t=this.model.source;if(\"line\"===this.model.plot_type){var e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:4,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else if(\"step\"===this.model.plot_type){var i=new n.Step({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(i,t)}else if(\"area\"===this.model.plot_type){var l=new n.VArea({x:{field:this.model.plot_x},y1:{field:this.model.plot_y},y2:0,fill_color:this.model.plot_color,fill_alpha:.5});this.plot.add_glyph(l,t);e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else{var o=new n.VBar({x:{field:this.model.plot_x},top:{field:this.model.plot_y},width:.9,line_color:null,fill_color:this.model.plot_color});this.plot.add_glyph(o,t)}const s=await(0,h.build_view)(this.plot);this.plotDiv.innerHTML=\"\",s.renderTo(this.plotDiv)}after_layout(){super.after_layout(),this.updateTextFontSize()}updateTextFontSize(){this.updateTextFontSizeColumn()}updateTextFontSizeColumn(){let t=this.containerDiv.clientWidth,e=this.containerDiv.clientHeight;\"column\"===this.model.layout?e=Math.round(e/2):t=Math.round(t/2);const i=t/this.model.title.length*2,l=t/(2*this._value_format.length)*1.8,o=t/(this._value_change_format.length+1)*2,s=e/6,h=Math.min(i,l,o,s);this.textDiv.style.fontSize=Math.trunc(h)+\"px\",this.textDiv.style.lineHeight=\"1.3\"}updateTitle(t=!1){this.titleDiv.innerText=this.model.title,t&&this.updateTextFontSize()}updateValue(t=!1){this._value_format=this.model.formatter.doFormat([this.model.value],{loc:0})[0],this.valueDiv.innerText=this._value_format,t&&this.updateTextFontSize()}updateValue2(t=!1){this._value_change_format=this.model.change_formatter.doFormat([this.model.value_change],{loc:0})[0],this.value2Div.innerText=this._value_change_format,this.updateValueChange(),t&&this.updateTextFontSize()}updateValueChange(){this.model.value_change>0?(this.changeDiv.innerHTML=\"&#9650;\",this.changeDiv.style.color=this.model.pos_color):this.model.value_change<0?(this.changeDiv.innerHTML=\"&#9660;\",this.changeDiv.style.color=this.model.neg_color):(this.changeDiv.innerHTML=\"&nbsp;\",this.changeDiv.style.color=\"inherit\")}updateLayout(){\"column\"===this.model.layout?(this.containerDiv.style.display=\"block\",this.textDiv.style.height=\"50%\",this.textDiv.style.width=\"100%\",this.plotDiv.style.height=\"50%\",this.plotDiv.style.width=\"100%\"):(this.containerDiv.style.display=\"flex\",this.textDiv.style.height=\"100%\",this.textDiv.style.width=\"\",this.plotDiv.style.height=\"100%\",this.plotDiv.style.width=\"\",this.textDiv.style.flex=\"1\",this.plotDiv.style.flex=\"1\"),this._has_finished&&this.invalidate_layout()}}i.TrendIndicatorView=p,p.__name__=\"TrendIndicatorView\";class _ extends s.HTMLBox{constructor(t){super(t)}static init_TrendIndicator(){this.prototype.default_view=p,this.define((({Number:t,String:e,Ref:i})=>({description:[e,\"\"],formatter:[i(c.TickFormatter),()=>new c.BasicTickFormatter],change_formatter:[i(c.TickFormatter),()=>new c.NumeralTickFormatter],layout:[e,\"column\"],source:[i(r.ColumnDataSource)],plot_x:[e,\"x\"],plot_y:[e,\"y\"],plot_color:[e,\"#428bca\"],plot_type:[e,\"bar\"],pos_color:[e,\"#5cb85c\"],neg_color:[e,\"#d9534f\"],title:[e,\"\"],value:[t,0],value_change:[t,0]})))}}i.TrendIndicator=_,_.__name__=\"TrendIndicator\",_.__module__=\"panel.models.trend\",_.init_TrendIndicator()},\n      \"04fd346566\": function _(t,e,s,o,a){o();const n=t(\"@bokehjs/core/util/types\"),c=t(\"@bokehjs/models/layouts/html_box\");class i extends c.HTMLBoxView{connect_signals(){super.connect_signals();const{data:t,show_actions:e,theme:s}=this.model.properties;this.on_change([t,e,s],(()=>{this._plot()})),this.connect(this.model.properties.data_sources.change,(()=>this._connect_sources())),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null==t||!window.vegaEmbed)return;if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=(0,n.isArray)(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}const e={actions:this.model.show_actions,theme:this.model.theme};window.vegaEmbed(this.el,this.model.data,e)}}s.VegaPlotView=i,i.__name__=\"VegaPlotView\";class d extends c.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=i,this.define((({Any:t,Boolean:e,String:s})=>({data:[t,{}],data_sources:[t,{}],show_actions:[e,!1],theme:[s]})))}}s.VegaPlot=d,d.__name__=\"VegaPlot\",d.__module__=\"panel.models.vega\",d.init_VegaPlot()},\n      \"ffe54b53c3\": function _(e,i,t,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=h,h.__name__=\"VideoView\";class m extends l.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=h,this.define((({Any:e,Boolean:i,Int:t,Number:o})=>({loop:[i,!1],paused:[i,!0],time:[o,0],throttle:[t,250],value:[e,\"\"],volume:[t]})))}}t.Video=m,m.__name__=\"Video\",m.__module__=\"panel.models.widgets\",m.init_Video()},\n      \"e3e9b8e495\": function _(e,t,i,s,o){s();const h=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"4c755983eb\");class a extends l.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,(()=>this.set_timeout())),this.connect(this.model.properties.snapshot.change,(()=>this.snapshot())),this.connect(this.model.properties.paused.change,(()=>this.pause()))}pause(){this.model.paused?(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()):this.videoEl.play(),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),null!=this.model.timeout&&this.model.timeout>0&&(this.timer=setInterval((()=>this.snapshot()),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then((e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()})).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class n extends h.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define((({Any:e,Boolean:t,Int:i,Nullable:s,String:o})=>({format:[o,\"png\"],paused:[t,!1],snapshot:[t,!1],timeout:[s(i),null],value:[e]}))),this.override({height:240,width:320})}}i.VideoStream=n,n.__name__=\"VideoStream\",n.__module__=\"panel.models.widgets\",n.init_VideoStream()},\n      \"c51f25e2a7\": function _(o,V,l,K,T){K(),T(\"VTKJSPlot\",o(\"b6d9199d03\").VTKJSPlot),T(\"VTKVolumePlot\",o(\"7785475bdd\").VTKVolumePlot),T(\"VTKAxes\",o(\"204e2f98bd\").VTKAxes),T(\"VTKSynchronizedPlot\",o(\"0a57062475\").VTKSynchronizedPlot)},\n      \"b6d9199d03\": function _(e,t,n,i,s){i();const a=e(\"e13c143c7d\"),r=e(\"993f3118b2\");class _ extends a.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this.invalidate_render()}))}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=r.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=r.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=window.vtk.macro.debounce((()=>setTimeout((()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()}),100)),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=_,_.__name__=\"VTKJSPlotView\";class o extends a.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=_,this.define((({Boolean:e,Nullable:t,String:n})=>({data:[t(n)],enable_keybindings:[e,!1]})))}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n      \"e13c143c7d\": function _(e,t,i,n,s){n();const a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/util/object\"),_=e(\"@bokehjs/models/mappers/color_mapper\"),d=e(\"@bokehjs/core/kinds\"),h=e(\"4c755983eb\"),c=e(\"993f3118b2\"),l=e(\"c010237f8b\"),g=e(\"204e2f98bd\"),p={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"},m=(0,d.Enum)(\"LowerLeft\",\"LowerRight\",\"UpperLeft\",\"UpperRight\",\"LowerEdge\",\"RightEdge\",\"LeftEdge\",\"UpperEdge\");class v extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\"),i=\"350px\",n=\"30px\";t.classList.add(\"vtk_info\"),(0,c.applyStyle)(t,p),(0,c.applyStyle)(t,{width:i}),this.el.appendChild(t);const s=[];this.model.color_mappers.forEach((e=>{const i=new l.VTKColorBar(t,e);s.push(i)}));const a=document.createElement(\"div\");(0,c.applyStyle)(a,{textAlign:\"center\",fontSize:\"20px\"}),a.innerText=\"...\",t.addEventListener(\"click\",(()=>{t.style.width===n?(t.removeChild(a),(0,c.applyStyle)(t,{height:\"auto\",width:i}),s.forEach((e=>t.appendChild(e.canvas)))):(s.forEach((e=>t.removeChild(e.canvas))),(0,c.applyStyle)(t,{height:n,width:n}),t.appendChild(a))})),t.click()}_init_annotations_container(){this._annotations_container||(this._annotations_container=document.createElement(\"div\"),this._annotations_container.style.position=\"absolute\",this._annotations_container.style.width=\"100%\",this._annotations_container.style.height=\"100%\",this._annotations_container.style.top=\"0\",this._annotations_container.style.left=\"0\",this._annotations_container.style.pointerEvents=\"none\")}_clean_annotations(){if(this._annotations_container)for(;this._annotations_container.firstElementChild;)this._annotations_container.firstElementChild.remove()}_add_annotations(){this._clean_annotations();const{annotations:e}=this.model;if(null!=e)for(let t of e){const{viewport:e,color:i,fontSize:n,fontFamily:s}=t;m.values.forEach((a=>{const r=t[a];if(r){const t=document.createElement(\"div\");t.textContent=r;const{style:o}=t;o.position=\"absolute\",o.color=`rgb(${i.map((e=>255*e)).join(\",\")})`,o.fontSize=`${n}px`,o.padding=\"5px\",o.fontFamily=s,o.width=\"fit-content\",\"UpperLeft\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*e[0]+\"%\"),\"UpperRight\"==a&&(o.top=100*(1-e[3])+\"%\",o.right=100*(1-e[2])+\"%\"),\"LowerLeft\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*e[0]+\"%\"),\"LowerRight\"==a&&(o.bottom=100*e[1]+\"%\",o.right=100*(1-e[2])+\"%\"),\"UpperEdge\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LowerEdge\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LeftEdge\"==a&&(o.left=100*e[0]+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),\"RightEdge\"==a&&(o.right=100*(1-e[2])+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),this._annotations_container.appendChild(t)}}))}}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,(()=>{this._orientation_widget_visibility(this.model.orientation_widget)})),this.on_change(this.model.properties.camera,(()=>this._set_camera_state())),this.on_change(this.model.properties.axes,(()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()})),this.on_change(this.model.properties.color_mappers,(()=>this._add_colorbars())),this.on_change(this.model.properties.annotations,(()=>this._add_annotations()))}render(){super.render(),this._vtk_renwin&&this._vtk_container?((0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=(0,a.div)(),this.init_vtk_renwin(),this._init_annotations_container(),(0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation((()=>this._get_camera_state())),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this._add_annotations(),this.model.renderer_el=this._vtk_renwin),this.el.appendChild(this._annotations_container)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}resize_layout(){this.layout&&super.resize_layout()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),null!=this._orientationWidget&&this._orientationWidget.delete(),this._vtk_renwin.getRenderWindow().getInteractor().delete(),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=(0,o.clone)(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=(0,a.canvas)({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback((()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}}))),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",(()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))})),this.el.addEventListener(\"mouseleave\",(()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}))}_create_orientation_widget(){const e=c.vtkns.AxesActor.newInstance();this._orientationWidget=c.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(c.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=c.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=c.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange((({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),s=t.getViewUp(),a=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*a,i[1]+e[1]*a,i[2]+e[2]*a),e[0]&&t.setViewUp((0,c.majorAxis)(s,1,2)),e[1]&&t.setViewUp((0,c.majorAxis)(s,0,2)),e[2]&&t.setViewUp((0,c.majorAxis)(s,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()}))}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach((e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]))),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},e&&this._vtk_renwin.getRenderer().addActor(e),t&&this._vtk_renwin.getRenderer().addActor(t),i&&this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map((e=>e.unsubscribe()))}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=v,v.__name__=\"AbstractVTKView\";class w extends r.HTMLBox{constructor(e){(0,c.setup_vtkns)(),super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define((({Any:e,Ref:t,Array:i,Boolean:n,Nullable:s})=>({axes:[s(t(g.VTKAxes)),null],camera:[e],color_mappers:[i(t(_.ColorMapper)),[]],orientation_widget:[n,!1],interactive_orientation_widget:[n,!1],annotations:[s(i(e)),null]}))),this.override({height:300,width:300})}}i.AbstractVTKPlot=w,w.__name__=\"AbstractVTKPlot\",w.__module__=\"panel.models.vtk\",w.init_AbstractVTKPlot()},\n      \"993f3118b2\": function _(e,n,t,r,a){r();const o=e(\"@bokehjs/core/util/array\"),i=e(\"@bokehjs/core/kinds\");function s(){if(null!=t.vtkns.Actor)return;const e=window.vtk;t.vtkns.Actor=e.Rendering.Core.vtkActor,t.vtkns.AxesActor=e.Rendering.Core.vtkAxesActor,t.vtkns.Base64=e.Common.Core.vtkBase64,t.vtkns.BoundingBox=e.Common.DataModel.vtkBoundingBox,t.vtkns.Camera=e.Rendering.Core.vtkCamera,t.vtkns.ColorTransferFunction=e.Rendering.Core.vtkColorTransferFunction,t.vtkns.CubeSource=e.Filters.Sources.vtkCubeSource,t.vtkns.DataAccessHelper=e.IO.Core.DataAccessHelper,t.vtkns.DataArray=e.Common.Core.vtkDataArray,t.vtkns.Follower=e.Rendering.Core.vtkFollower,t.vtkns.FullScreenRenderWindow=e.Rendering.Misc.vtkFullScreenRenderWindow,t.vtkns.Glyph3DMapper=e.Rendering.Core.vtkGlyph3DMapper,t.vtkns.HttpSceneLoader=e.IO.Core.vtkHttpSceneLoader,t.vtkns.ImageData=e.Common.DataModel.vtkImageData,t.vtkns.ImageMapper=e.Rendering.Core.vtkImageMapper,t.vtkns.ImageProperty=e.Rendering.Core.vtkImageProperty,t.vtkns.ImageSlice=e.Rendering.Core.vtkImageSlice,t.vtkns.InteractiveOrientationWidget=e.Widgets.Widgets3D.vtkInteractiveOrientationWidget,t.vtkns.InteractorStyleTrackballCamera=e.Interaction.Style.vtkInteractorStyleTrackballCamera,t.vtkns.Light=e.Rendering.Core.vtkLight,t.vtkns.LineSource=e.Filters.Sources.vtkLineSource,t.vtkns.LookupTable=e.Common.Core.vtkLookupTable,t.vtkns.macro=e.macro,t.vtkns.Mapper=e.Rendering.Core.vtkMapper,t.vtkns.OpenGLRenderWindow=e.Rendering.OpenGL.vtkRenderWindow,t.vtkns.OrientationMarkerWidget=e.Interaction.Widgets.vtkOrientationMarkerWidget,t.vtkns.OutlineFilter=e.Filters.General.vtkOutlineFilter,t.vtkns.PiecewiseFunction=e.Common.DataModel.vtkPiecewiseFunction,t.vtkns.PixelSpaceCallbackMapper=e.Rendering.Core.vtkPixelSpaceCallbackMapper,t.vtkns.PlaneSource=e.Filters.Sources.vtkPlaneSource,t.vtkns.PointSource=e.Filters.Sources.vtkPointSource,t.vtkns.PolyData=e.Common.DataModel.vtkPolyData,t.vtkns.Property=e.Rendering.Core.vtkProperty,t.vtkns.Renderer=e.Rendering.Core.vtkRenderer,t.vtkns.RenderWindow=e.Rendering.Core.vtkRenderWindow,t.vtkns.RenderWindowInteractor=e.Rendering.Core.vtkRenderWindowInteractor,t.vtkns.SphereMapper=e.Rendering.Core.vtkSphereMapper,t.vtkns.SynchronizableRenderWindow=e.Rendering.Misc.vtkSynchronizableRenderWindow,t.vtkns.ThirdParty=e.ThirdParty,t.vtkns.Texture=e.Rendering.Core.vtkTexture,t.vtkns.Volume=e.Rendering.Core.vtkVolume,t.vtkns.VolumeController=e.Interaction.UI.vtkVolumeController,t.vtkns.VolumeMapper=e.Rendering.Core.vtkVolumeMapper,t.vtkns.VolumeProperty=e.Rendering.Core.vtkVolumeProperty,t.vtkns.WidgetManager=e.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:n}=t.vtkns.SynchronizableRenderWindow;n.setTypeMapping(\"vtkVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkSmartVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkFollower\",t.vtkns.Follower.newInstance,n.genericUpdater),n.setTypeMapping(\"vtkOpenGLGlyph3DMapper\",t.vtkns.Glyph3DMapper.newInstance,n.genericUpdater)}function k(e){const n=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==n.length?n:\"0\"+n}function c(e,n,t){return\"#\"+k(e)+k(n)+k(t)}function v(e){for(var n=new ArrayBuffer(e.length),t=new Uint8Array(n),r=0,a=e.length;r<a;r++)t[r]=e.charCodeAt(r);return n}t.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},t.vtkns={},t.setup_vtkns=s,window.vtk&&s(),t.Interpolation=(0,i.Enum)(\"fast_linear\",\"linear\",\"nearest\"),t.applyStyle=function(e,n){Object.keys(n).forEach((t=>{e.style[t]=n[t]}))},t.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},t.rgbToHex=c,t.vtkLutToMapper=function(e){const{scale:n,nodes:r}=e.get(\"scale\",\"nodes\");if(n!==t.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const a=r.map((e=>e.x)),i=Math.min(...a),s=Math.max(...a),k=(0,o.linspace)(i,s,255),v=[0,0,0];return{low:i,high:s,palette:k.map((n=>(e.getColor(n,v),c(255*v[0],255*v[1],255*v[2]))))}},t.data2VTKImageData=function(e){const n=t.vtkns.ImageData.newInstance({spacing:e.spacing});n.setDimensions(e.dims),n.setOrigin(null!=e.origin?e.origin:e.dims.map((e=>e/2)));const r=t.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new t.ARRAY_TYPES[e.dtype](v(atob(e.buffer)))});return n.getPointData().setScalars(r),n},t.majorAxis=function(e,n,t){const r=[0,0,0],a=Math.abs(e[n])>Math.abs(e[t])?n:t,o=e[a]>0?1:-1;return r[a]=o,r},t.cartesian_product=function(...e){return e.reduce(((e,n)=>e.flatMap((e=>n.map((n=>[].concat(e,n)))))))}},\n      \"c010237f8b\": function _(t,i,e,s,h){s();const a=t(\"@bokehjs/models/mappers\"),n=t(\"@bokehjs/core/util/array\");class c{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return(0,n.linspace)(t,i,this.options.ticksNum)}get ticks(){return this.values.map((t=>t.toExponential(3)))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach((i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(`${i}`),h=e+s;t<h&&(t=h)})),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),s=t.length;e.width=s,e.height=1;const h=e.getContext(\"2d\"),c=h.getImageData(0,0,s,1),o=new a.LinearColorMapper({palette:t}).rgba_mapper.v_compute((0,n.range)(0,t.length));c.data.set(o),h.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=(0,n.linspace)(0,this.canvas.width,5);r.forEach(((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(`${this.ticks[e]}`,t,2*(i+1))})),this.ctx.restore()}}e.VTKColorBar=c,c.__name__=\"VTKColorBar\"},\n      \"204e2f98bd\": function _(t,i,s,e,n){e();const a=(0,t(\"tslib\").__importStar)(t(\"@bokehjs/core/properties\")),r=t(\"@bokehjs/model\"),c=t(\"2f3fd5db07\"),h=t(\"993f3118b2\");class l extends r.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[a.Array],xticker:[a.Instance],yticker:[a.Instance],zticker:[a.Instance],digits:[a.Number,1],show_grid:[a.Boolean,!0],grid_opacity:[a.Number,.1],axes_opacity:[a.Number,1],fontsize:[a.Number,12]})}get xticks(){return this.xticker?this.xticker.ticks:[]}get yticks(){return this.yticker?this.yticker.ticks:[]}get zticks(){return this.zticker?this.zticker.ticks:[]}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map((t=>t.toFixed(this.digits)))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map((t=>t.toFixed(this.digits)))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map((t=>t.toFixed(this.digits)))}_make_grid_lines(t,i,s){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<i-1;t++){const a=n*i+t+s,r=[5,a,n*i+t+1+s,(n+1)*i+t+1+s,(n+1)*i+t+s,a];e.push(r)}return e}_create_grid_axes(){const t=[];t.push((0,h.cartesian_product)(this.xticks,this.yticks,[this.origin[2]])),t.push((0,h.cartesian_product)([this.origin[0]],this.yticks,this.zticks)),t.push((0,h.cartesian_product)(this.xticks,[this.origin[1]],this.zticks));const i=[];let s=0;i.push(this._make_grid_lines(this.xticks.length,this.yticks.length,s)),s+=this.xticks.length*this.yticks.length,i.push(this._make_grid_lines(this.yticks.length,this.zticks.length,s)),s+=this.yticks.length*this.zticks.length,i.push(this._make_grid_lines(this.xticks.length,this.zticks.length,s));const e=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:i.flat(2)}}),n=h.vtkns.Mapper.newInstance(),a=h.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){if(null==this.origin)return{psActor:null,axesActor:null,gridActor:null};const i=[this.xticks,this.yticks,this.zticks].map(((t,i)=>{let s=null;switch(i){case 0:s=(0,h.cartesian_product)(t,[this.origin[1]],[this.origin[2]]);break;case 1:s=(0,h.cartesian_product)([this.origin[0]],t,[this.origin[2]]);break;case 2:s=(0,h.cartesian_product)([this.origin[0]],[this.origin[1]],t)}return s})).flat(2),s=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:i},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=h.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(s),e.setUseZValues(!0),e.setCallback(((i,s,n)=>{const a=t.getContext(\"2d\");if(a){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=s.getViewMatrix();c.mat4.transpose(l,l);const o=s.getProjectionMatrix(n,-1,1);c.mat4.transpose(o,o),a.clearRect(0,0,r.width,r.height),i.forEach(((t,i)=>{const s=h.getPoint(i),e=c.vec3.fromValues(s[0],s[1],s[2]);if(c.vec3.transformMat4(e,e,l),e[2]+=.05,c.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let s;a.font=\"30px serif\",a.textAlign=\"center\",a.textBaseline=\"alphabetic\",a.fillText(\".\",t[0],r.height-t[1]+2),a.font=this.fontsize*window.devicePixelRatio+\"px serif\",a.textAlign=\"right\",a.textBaseline=\"top\",s=i<this.xticks.length?this.xlabels[i]:i>=this.xticks.length&&i<this.xticks.length+this.yticks.length?this.ylabels[i-this.xticks.length]:this.zlabels[i-(this.xticks.length+this.yticks.length)],a.fillText(`${s}`,t[0],r.height-t[1])}}))}}));const n=h.vtkns.Actor.newInstance();n.setMapper(e);const a=h.vtkns.Mapper.newInstance();a.setInputData(s);const r=h.vtkns.Actor.newInstance();r.setMapper(a),r.getProperty().setOpacity(this.axes_opacity);return{psActor:n,axesActor:r,gridActor:this._create_grid_axes()}}}s.VTKAxes=l,l.__name__=\"VTKAxes\",l.__module__=\"panel.models.vtk\",l.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a,o,r){o();const _=t(\"tslib\"),m=(0,_.__importStar)(t(\"68ca94c15c\"));a.glMatrix=m;const i=(0,_.__importStar)(t(\"7c0b8e6048\"));a.mat2=i;const n=(0,_.__importStar)(t(\"dc03f0a621\"));a.mat2d=n;const s=(0,_.__importStar)(t(\"0285c50a7e\"));a.mat3=s;const p=(0,_.__importStar)(t(\"a427635f32\"));a.mat4=p;const S=(0,_.__importStar)(t(\"eb06fc032a\"));a.quat=S;const e=(0,_.__importStar)(t(\"277615c682\"));a.quat2=e;const f=(0,_.__importStar)(t(\"c56d9ff837\"));a.vec2=f;const b=(0,_.__importStar)(t(\"2c5eb22089\"));a.vec3=b;const d=(0,_.__importStar)(t(\"c1aa33d719\"));a.vec4=d},\n      \"68ca94c15c\": function _(t,a,r,n,o){n(),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var h=Math.PI/180;r.toRadian=function(t){return t*h},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n      \"7c0b8e6048\": function _(t,n,r,a,u){a();const e=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function o(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function c(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new e.ARRAY_TYPE(4);return e.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new e.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,a){var u=new e.ARRAY_TYPE(4);return u[0]=t,u[1]=n,u[2]=r,u[3]=a,u},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=o,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=c,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],a=t[1],u=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(a-i)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(i))&&Math.abs(u-f)<=e.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(o-s)<=e.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=o,r.sub=c},\n      \"dc03f0a621\": function _(t,n,a,r,u){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function e(t,n,a){var 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i?(i=1/i,t[0]=o*i,t[1]=-r*i,t[2]=-u*i,t[3]=a*i,t[4]=(u*c-o*e)*i,t[5]=(r*e-a*c)*i,t):null},a.determinant=function(t){return t[0]*t[3]-t[1]*t[2]},a.multiply=e,a.rotate=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=Math.sin(a),h=Math.cos(a);return t[0]=r*h+o*s,t[1]=u*h+e*s,t[2]=r*-s+o*h,t[3]=u*-s+e*h,t[4]=c,t[5]=i,t},a.scale=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1];return t[0]=r*s,t[1]=u*s,t[2]=o*h,t[3]=e*h,t[4]=c,t[5]=i,t},a.translate=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=r*s+o*h+c,t[5]=u*s+e*h+i,t},a.fromRotation=function(t,n){var a=Math.sin(n),r=Math.cos(n);return t[0]=r,t[1]=a,t[2]=-a,t[3]=r,t[4]=0,t[5]=0,t},a.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t[4]=0,t[5]=0,t},a.fromTranslation=function(t,n){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=n[0],t[5]=n[1],t},a.str=function(t){return\"mat2d(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", 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Math.abs(a-s)<=o.EPSILON*Math.max(1,Math.abs(a),Math.abs(s))&&Math.abs(r-h)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(h))&&Math.abs(u-f)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(e-M)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(M))&&Math.abs(c-b)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(i-l)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(l))},a.mul=e,a.sub=c},\n      \"0285c50a7e\": function _(t,a,n,r,u){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function e(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],A=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+A*s,t[7]=P*u+S*i+A*M,t[8]=P*o+S*c+A*h,t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new o.ARRAY_TYPE(9);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new o.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,r,u,e,i,c,s){var M=new o.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=r,M[4]=u,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=e,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,A=n*s-o*e,x=r*c-u*i,d=r*s-o*i,I=u*s-o*c,L=M*m-h*l,N=M*v-f*l,O=M*E-b*l,R=h*v-f*m,p=h*E-b*m,Y=f*E-b*v,y=P*Y-S*p+A*R+x*O-d*N+I*L;return y?(y=1/y,t[0]=(i*Y-c*p+s*R)*y,t[1]=(c*O-e*Y-s*N)*y,t[2]=(e*p-i*O+s*L)*y,t[3]=(u*p-r*Y-o*R)*y,t[4]=(n*Y-u*O+o*N)*y,t[5]=(r*O-n*p-o*L)*y,t[6]=(m*I-v*d+E*x)*y,t[7]=(v*A-l*I-E*S)*y,t[8]=(l*d-m*A+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],A=a[8];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-b)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(e-m)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))},n.mul=e,n.sub=i},\n      \"a427635f32\": function _(t,a,n,r,h){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function u(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function M(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],m=a[12],v=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],L=n[3];return t[0]=S*r+I*M+O*c+L*m,t[1]=S*h+I*s+O*f+L*v,t[2]=S*o+I*e+O*b+L*P,t[3]=S*u+I*i+O*l+L*E,S=n[4],I=n[5],O=n[6],L=n[7],t[4]=S*r+I*M+O*c+L*m,t[5]=S*h+I*s+O*f+L*v,t[6]=S*o+I*e+O*b+L*P,t[7]=S*u+I*i+O*l+L*E,S=n[8],I=n[9],O=n[10],L=n[11],t[8]=S*r+I*M+O*c+L*m,t[9]=S*h+I*s+O*f+L*v,t[10]=S*o+I*e+O*b+L*P,t[11]=S*u+I*i+O*l+L*E,S=n[12],I=n[13],O=n[14],L=n[15],t[12]=S*r+I*M+O*c+L*m,t[13]=S*h+I*s+O*f+L*v,t[14]=S*o+I*e+O*b+L*P,t[15]=S*u+I*i+O*l+L*E,t}function s(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,s=h+h,e=o+o,i=r*M,c=r*s,f=r*e,b=h*s,l=h*e,m=o*e,v=u*M,P=u*s,E=u*e;return t[0]=1-(b+m),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+m),t[6]=l+v,t[7]=0,t[8]=f+P,t[9]=l-v,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function e(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],s=a[8],e=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(s,e,i),t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new o.ARRAY_TYPE(16);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new o.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,r,h,u,M,s,e,i,c,f,b,l,m,v){var P=new o.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=r,P[4]=h,P[5]=u,P[6]=M,P[7]=s,P[8]=e,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=m,P[15]=v,P},n.set=function(t,a,n,r,h,o,u,M,s,e,i,c,f,b,l,m,v){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=s,t[8]=e,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=m,t[15]=v,t},n.identity=u,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15],E=n*M-r*u,S=n*s-h*u,I=n*e-o*u,O=r*s-h*M,L=r*e-o*M,N=h*e-o*s,p=i*m-c*l,R=i*v-f*l,x=i*P-b*l,A=c*v-f*m,y=c*P-b*m,Y=f*P-b*v,g=E*Y-S*y+I*A+O*x-L*R+N*p;return g?(g=1/g,t[0]=(M*Y-s*y+e*A)*g,t[1]=(h*y-r*Y-o*A)*g,t[2]=(m*N-v*L+P*O)*g,t[3]=(f*L-c*N-b*O)*g,t[4]=(s*x-u*Y-e*R)*g,t[5]=(n*Y-h*x+o*R)*g,t[6]=(v*I-l*N-P*S)*g,t[7]=(i*N-f*I+b*S)*g,t[8]=(u*y-M*x+e*p)*g,t[9]=(r*x-n*y-o*p)*g,t[10]=(l*L-m*I+P*E)*g,t[11]=(c*I-i*L-b*E)*g,t[12]=(M*R-u*A-s*p)*g,t[13]=(n*A-r*R+h*p)*g,t[14]=(m*S-l*O-v*E)*g,t[15]=(i*O-c*S+f*E)*g,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15];return t[0]=M*(f*P-b*v)-c*(s*P-e*v)+m*(s*b-e*f),t[1]=-(r*(f*P-b*v)-c*(h*P-o*v)+m*(h*b-o*f)),t[2]=r*(s*P-e*v)-M*(h*P-o*v)+m*(h*e-o*s),t[3]=-(r*(s*b-e*f)-M*(h*b-o*f)+c*(h*e-o*s)),t[4]=-(u*(f*P-b*v)-i*(s*P-e*v)+l*(s*b-e*f)),t[5]=n*(f*P-b*v)-i*(h*P-o*v)+l*(h*b-o*f),t[6]=-(n*(s*P-e*v)-u*(h*P-o*v)+l*(h*e-o*s)),t[7]=n*(s*b-e*f)-u*(h*b-o*f)+i*(h*e-o*s),t[8]=u*(c*P-b*m)-i*(M*P-e*m)+l*(M*b-e*c),t[9]=-(n*(c*P-b*m)-i*(r*P-o*m)+l*(r*b-o*c)),t[10]=n*(M*P-e*m)-u*(r*P-o*m)+l*(r*e-o*M),t[11]=-(n*(M*b-e*c)-u*(r*b-o*c)+i*(r*e-o*M)),t[12]=-(u*(c*v-f*m)-i*(M*v-s*m)+l*(M*f-s*c)),t[13]=n*(c*v-f*m)-i*(r*v-h*m)+l*(r*f-h*c),t[14]=-(n*(M*v-s*m)-u*(r*v-h*m)+l*(r*s-h*M)),t[15]=n*(M*f-s*c)-u*(r*f-h*c)+i*(r*s-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],s=t[7],e=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],m=t[14],v=t[15];return(a*u-n*o)*(c*v-f*m)-(a*M-r*o)*(i*v-f*l)+(a*s-h*o)*(i*m-c*l)+(n*M-r*u)*(e*v-f*b)-(n*s-h*u)*(e*m-c*b)+(r*s-h*M)*(e*l-i*b)},n.multiply=M,n.translate=function(t,a,n){var r,h,o,u,M,s,e,i,c,f,b,l,m=n[0],v=n[1],P=n[2];return a===t?(t[12]=a[0]*m+a[4]*v+a[8]*P+a[12],t[13]=a[1]*m+a[5]*v+a[9]*P+a[13],t[14]=a[2]*m+a[6]*v+a[10]*P+a[14],t[15]=a[3]*m+a[7]*v+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=s,t[6]=e,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*m+M*v+c*P+a[12],t[13]=h*m+s*v+f*P+a[13],t[14]=o*m+e*v+b*P+a[14],t[15]=u*m+i*v+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,r){var h,u,M,s,e,i,c,f,b,l,m,v,P,E,S,I,O,L,N,p,R,x,A,y,Y=r[0],g=r[1],T=r[2],d=Math.hypot(Y,g,T);return d<o.EPSILON?null:(Y*=d=1/d,g*=d,T*=d,h=Math.sin(n),M=1-(u=Math.cos(n)),s=a[0],e=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],m=a[7],v=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=g*Y*M+T*h,L=T*Y*M-g*h,N=Y*g*M-T*h,p=g*g*M+u,R=T*g*M+Y*h,x=Y*T*M+g*h,A=g*T*M-Y*h,y=T*T*M+u,t[0]=s*I+f*O+v*L,t[1]=e*I+b*O+P*L,t[2]=i*I+l*O+E*L,t[3]=c*I+m*O+S*L,t[4]=s*N+f*p+v*R,t[5]=e*N+b*p+P*R,t[6]=i*N+l*p+E*R,t[7]=c*N+m*p+S*R,t[8]=s*x+f*A+v*y,t[9]=e*x+b*A+P*y,t[10]=i*x+l*A+E*y,t[11]=c*x+m*A+S*y,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],s=a[7],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+e*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=s*h+f*r,t[8]=e*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-s*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-e*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=s*h-f*r,t[8]=o*r+e*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=s*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+e*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=s*h+f*r,t[4]=e*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-s*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var r,h,u,M=n[0],s=n[1],e=n[2],i=Math.hypot(M,s,e);return i<o.EPSILON?null:(M*=i=1/i,s*=i,e*=i,r=Math.sin(a),u=1-(h=Math.cos(a)),t[0]=M*M*u+h,t[1]=s*M*u+e*r,t[2]=e*M*u-s*r,t[3]=0,t[4]=M*s*u-e*r,t[5]=s*s*u+h,t[6]=e*s*u+M*r,t[7]=0,t[8]=M*e*u+s*r,t[9]=s*e*u-M*r,t[10]=e*e*u+h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=s,n.fromQuat2=function(t,a){var n=new o.ARRAY_TYPE(3),r=-a[0],h=-a[1],u=-a[2],M=a[3],e=a[4],i=a[5],c=a[6],f=a[7],b=r*r+h*h+u*u+M*M;return b>0?(n[0]=2*(e*M+f*r+i*u-c*h)/b,n[1]=2*(i*M+f*h+c*r-e*u)/b,n[2]=2*(c*M+f*u+e*h-i*r)/b):(n[0]=2*(e*M+f*r+i*u-c*h),n[1]=2*(i*M+f*h+c*r-e*u),n[2]=2*(c*M+f*u+e*h-i*r)),s(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=e,n.getRotation=function(t,a){var n=new o.ARRAY_TYPE(3);e(n,a);var r=1/n[0],h=1/n[1],u=1/n[2],M=a[0]*r,s=a[1]*h,i=a[2]*u,c=a[4]*r,f=a[5]*h,b=a[6]*u,l=a[8]*r,m=a[9]*h,v=a[10]*u,P=M+f+v,E=0;return 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r*r+a*a}function M(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function l(n){var t=n[0],r=n[1];return t*t+r*r}var v;r.create=o,r.clone=function(n){var t=new e.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new e.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=c,r.multiply=i,r.divide=f,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=s,r.squaredDistance=h,r.length=M,r.squaredLength=l,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*e.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],a=n[1],u=t[0],o=t[1];return Math.abs(r-u)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(u))&&Math.abs(a-o)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(o))},r.len=M,r.sub=c,r.mul=i,r.div=f,r.dist=s,r.sqrDist=h,r.sqrLen=l,r.forEach=(v=o(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)v[0]=n[o],v[1]=n[o+1],u(v,v,e),n[o]=v[0],n[o+1]=v[1];return n})},\n      \"7785475bdd\": function _(e,t,i,s,n){s();const r=e(\"e13c143c7d\"),o=e(\"993f3118b2\");class a extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data),this.invalidate_render()})),this.connect(this.model.properties.colormap.change,(()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)})),this.connect(this.model.properties.shadow.change,(()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)})),this.connect(this.model.properties.sampling.change,(()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)})),this.connect(this.model.properties.edge_gradient.change,(()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)})),this.connect(this.model.properties.rescale.change,(()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.ambient.change,(()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.diffuse.change,(()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular.change,(()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular_power.change,(()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_volume.change,(()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_slices.change,(()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.slice_i.change,(()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_j.change,(()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_k.change,(()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.render_background.change,(()=>{this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.interpolation.change,(()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.controller_expanded.change,(()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})),this.connect(this.model.properties.nan_opacity.change,(()=>{const e=this.image_actor_i.getProperty().getScalarOpacity();e.get([\"nodes\"]).nodes[0].y=this.model.nan_opacity,e.modified(),this._vtk_renwin.getRenderWindow().render()}))}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=o.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=o.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",(()=>this.model.controller_expanded=this._controllerWidget.getExpanded()))}this.colormap_selector.addEventListener(\"change\",(()=>{this.model.colormap=this.colormap_selector.value})),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",(()=>{this.model.shadow=!!Number(this.shadow_selector.value)})),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",(()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)})),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",(()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)})),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=o.vtkns.ImageSlice.newInstance(),i=o.vtkns.ImageSlice.newInstance(),s=o.vtkns.ImageSlice.newInstance(),n=o.vtkns.ImageMapper.newInstance(),r=o.vtkns.ImageMapper.newInstance(),a=o.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),r.setInputData(e),r.setJSlice(this.model.slice_j),i.setMapper(r),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=o.vtkns.PiecewiseFunction.newInstance(),d=this.volume.getProperty().getRGBTransferFunction(0),c=this.volume.getMapper().getInputData().getPointData().getScalars().getRange();l.removeAllPoints(),l.addPoint(c[0]-1,this.model.nan_opacity),l.addPoint(c[0],1),l.addPoint(c[1],1);const _=t.getProperty();i.setProperty(_),s.setProperty(_),_.setRGBTransferFunction(d),_.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=o.vtkns.Volume.newInstance(),i=o.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=o.vtkns.ColorTransferFunction.newInstance();n.onModified((()=>this.model.mapper=(0,o.vtkLutToMapper)(n)));const r=o.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map((e=>e*e)).reduce(((e,t)=>e+t),0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,r),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,o.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this.image_actor_i.setVisibility(e),this.image_actor_j.setVisibility(e),this.image_actor_k.setVisibility(e)}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=a,a.__name__=\"VTKVolumePlotView\";class l extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=a,this.define((({Any:e,Array:t,Boolean:i,Int:s,Number:n,String:r,Struct:a})=>({ambient:[n,.2],colormap:[r],data:[e],diffuse:[n,.7],display_slices:[i,!1],display_volume:[i,!0],edge_gradient:[n,.2],interpolation:[o.Interpolation,\"fast_linear\"],mapper:[a({palette:t(r),low:n,high:n})],nan_opacity:[n,1],render_background:[r,\"#52576e\"],rescale:[i,!1],sampling:[n,.4],shadow:[i,!0],slice_i:[s,0],slice_j:[s,0],slice_k:[s,0],specular:[n,.3],specular_power:[n,8],controller_expanded:[i,!0]})))}}i.VTKVolumePlot=l,l.__name__=\"VTKVolumePlot\",l.init_VTKVolumePlot()},\n      \"0a57062475\": function _(e,t,n,s,i){s();const r=e(\"@bokehjs/core/util/object\"),o=e(\"e13c143c7d\"),_=e(\"877619fe71\"),a=e(\"993f3118b2\"),c=\"panel\";class h extends o.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=a.vtkns.SynchronizableRenderWindow.getSynchronizerContext(c)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,(()=>this._decode_arrays())),this.connect(this.model.properties.scene.change,(()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>{this._on_scene_ready()}))}))}})),this.connect(this.model.properties.one_time_reset.change,(()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()}))}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>this._on_scene_ready())).then((()=>{this._set_camera_state(),this._get_camera_state()}))}))}_decode_arrays(){const e=new a.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,i=this.model;Object.keys(t).forEach((r=>{this._decoded_arrays[r]||(this._decoded_arrays[r]=!0,this._promises.push(function(r){return e.loadAsync(atob(t[r])).then((e=>e.file(\"data/\"+r))).then((e=>e.async(\"arraybuffer\"))).then((e=>n(r,e))).then((()=>{s.push(r),i.properties.arrays_processed.change.emit()}))}(r)))}))}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified((()=>this._vtk_render()))),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction((e=>Promise.resolve(this._arrays[e])));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=h,h.__name__=\"VTKSynchronizedPlotView\";class d extends o.AbstractVTKPlot{constructor(e){super(e),(0,_.initialize_fullscreen_render)(),this.outline=a.vtkns.OutlineFilter.newInstance();const t=a.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=a.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}getActors(e){let t=this.renderer_el.getRenderer().getActors();if(e){const n=this.renderer_el.getSynchronizerContext(c);t=t.filter((t=>{const s=n.getInstanceId(t);return!!s&&s.slice(-16)==e.slice(1,17)}))}return t}static init_VTKSynchronizedPlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:n,String:s})=>({arrays:[e,{}],arrays_processed:[t(s),[]],enable_keybindings:[n,!1],one_time_reset:[n],rebuild:[n,!1],scene:[e,{}]}))),this.override({height:300,width:300})}}n.VTKSynchronizedPlot=d,d.__name__=\"VTKSynchronizedPlot\",d.__module__=\"panel.models.vtk\",d.init_VTKSynchronizedPlot()},\n      \"877619fe71\": function _(e,n,o,t,r){t();const i=e(\"993f3118b2\"),l={containerStyle:null,controlPanelStyle:null,listenWindowResize:!0,resizeCallback:null,controllerVisibility:!0,synchronizerContextName:\"default\"},a={position:\"absolute\",left:\"25px\",top:\"25px\",backgroundColor:\"white\",borderRadius:\"5px\",listStyle:\"none\",padding:\"5px 10px\",margin:\"0\",display:\"block\",border:\"solid 1px black\",maxWidth:\"calc(100vw - 70px)\",maxHeight:\"calc(100vh - 60px)\",overflow:\"auto\"};o.initialize_fullscreen_render=function(){let e={newInstance:window.vtk.macro.newInstance(((e,n,o={})=>{Object.assign(n,l,o),window.vtk.macro.obj(e,n),window.vtk.macro.get(e,n,[\"renderWindow\",\"openGLRenderWindow\",\"interactor\",\"rootContainer\",\"container\",\"controlContainer\",\"synchronizerContext\"]),function(e,n){n.renderWindow=i.vtkns.SynchronizableRenderWindow.newInstance({synchronizerContext:n.synchronizerContext}),n.openGLRenderWindow=i.vtkns.OpenGLRenderWindow.newInstance(),n.openGLRenderWindow.setContainer(n.container),n.renderWindow.addView(n.openGLRenderWindow),n.interactor=i.vtkns.RenderWindowInteractor.newInstance(),n.interactor.setInteractorStyle(i.vtkns.InteractorStyleTrackballCamera.newInstance()),n.interactor.setView(n.openGLRenderWindow),n.interactor.initialize(),n.interactor.bindEvents(n.container),e.getRenderer=()=>n.renderWindow.getRenderers()[0],e.removeController=()=>{const e=n.controlContainer;e&&e.parentNode.removeChild(e)},e.setControllerVisibility=e=>{n.controllerVisibility=e,n.controlContainer&&(n.controlContainer.style.display=e?\"block\":\"none\")},e.toggleControllerVisibility=()=>{e.setControllerVisibility(!n.controllerVisibility)},e.addController=o=>{n.controlContainer=document.createElement(\"div\"),(0,i.applyStyle)(n.controlContainer,n.controlPanelStyle||a),n.rootContainer.appendChild(n.controlContainer),n.controlContainer.innerHTML=o,e.setControllerVisibility(n.controllerVisibility),n.rootContainer.addEventListener(\"keypress\",(n=>{\"c\"===String.fromCharCode(n.charCode)&&e.toggleControllerVisibility()}))},e.delete=window.vtk.macro.chain(e.setContainer,n.openGLRenderWindow.delete,e.delete),e.resize=()=>{const e=n.container.getBoundingClientRect(),o=window.devicePixelRatio||1;n.openGLRenderWindow.setSize(Math.floor(e.width*o),Math.floor(e.height*o)),n.resizeCallback&&n.resizeCallback(e),n.renderWindow.render()},e.setResizeCallback=o=>{n.resizeCallback=o,e.resize()},n.listenWindowResize&&window.addEventListener(\"resize\",e.resize),e.resize()}(e,n)}))};i.vtkns.FullScreenRenderWindowSynchronized=e}},\n      }, \"4e90918c0a\", 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-       "h9MfvZsk5meo1eqo5ORkxTNWn7HR1tY2l8PhOAsUiqIolCRJcETtv/61qzNySYK5trZ2TCgUUiwW\n",
-       "S1FSUhLR+bA/kAzwXcAbHa/cFhrTXrJ/v+7IkSPu3Je4Xm5eboJv2wba5QbO5fQwxhsP679Y+nFO\n",
-       "jgAAoKSkJILFYjnBGI1G0YYNGwYBnqRoiqIQlKKojurq6gUAAAKBgKQoiuGYkJWVpTCZTOKmI1Xd\n",
-       "HwnDcm+cOnOMw+H0FxYWbqpvqv/r9EV+bky+O+/QoUPiqJRt9JphTLFHbKBCR87tWL9EPN9oNIZn\n",
-       "ZWUpXHaMCQQCEgCgsrIyEgBuoGq1+qpOp4t2GPH5/BvFxcVLHXpgYGDD8ePH/56Xl2cCAMjMzOxP\n",
-       "S0s7pWfow4RCbz/fAF9RT0+P9yeffHJySSqev+9nxLD1FaAlTR8vlJ8vxxzsFhUVLRMIBB0OvwaD\n",
-       "YRlFUdfQkpISK0EQ9J6eHgYAQEZGxl2z2Rw0MjJCBwBITk5+xOVyfzpw4ECSw5lQKKQIbxtJm4EN\n",
-       "8eZ7jPz0oNv+dK5FG/jq54eH+IFr/S1KabBy0UerAvI+++wzD4vFEpCWljYEACCTyVh2ux3FcXwS\n",
-       "BQCw2WxVdXV1bzrQRURE1FVVVTn1zMzM/pkzZ35/9OjRd0pLS19RqVQIy4/tCwDgOcPTQvFQEQBA\n",
-       "aWnpK0ERK2LbyVllN341GUJ4YDu8zD5bKyur7O+85tx9Z2fnO1ar9QjA04KkpaVFs2LFir8olcq7\n",
-       "YWFhJpFINNnX16drbGyMjY6Ovg0AIBaLjcuXL5d3d3d7XbhwIW704b3F479MeD1qVfJ5Og/bvb4R\n",
-       "LwaDMZabm9uwflNa/z/3HOIv5NsDEK7XS7FeevXPvYNLvm5S/GglCK5KpZorlUobXE8g5ObmMqVS\n",
-       "6UG1Wu1BURSHoijOiRMnwgoLC7coFAqBo+9Fm0KhEKStmvvto3TeucFN7pVJYbytarXaQyqVHsRx\n",
-       "3N15TF1BuBaljr4rV66wOzo63mAymXdzcnKuwwtIUVHRMqvVGkgQxMV7NXvyJijGvcNXB/7z5Zdf\n",
-       "bicI4gSO40NTAgD4bVnuODIAT2pElUq1FEEQO4fD6QsPD++fqixHEATj8/ntjoCrqKhwS0hIsJWV\n",
-       "leURBHEOx3G563pT3tn5+flBDAbjg6CgoMMpKSlK17GhoSFMJpMFPk04DJIkEQzDzCwW6+5UD5Oa\n",
-       "mhrfO3fufECS5GHXnf8pAAAAHMfdURTdimGYPjExsTo0NHTyj2ynEplMxurs7HyHIAiKJMlSHMct\n",
-       "U9k9N2vl5+cH0en0TRiGWX18fC65vnh+LxqNBq2oqFhgMpmi7XY7arVaj+zdu/fxn/l/4bSZl5fH\n",
-       "5nK5CQAQMtXznCRJePpEbwOAZhzHX4ix/wHzzC/tu64gcwAAAABJRU5ErkJggg=='\n",
-       "       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>\n",
-       "  \n",
-       "\n",
-       "\n",
-       "</div>\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      ":Dataset   [x,y,time]   (flux)\n",
-      ":Cube_shape\t[101, 101, 61]\n"
-     ]
-    }
-   ],
-   "source": [
-    "betapic.plot()\n",
-    "plt.shoe"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 9.2.2. Access and change attributes\n",
-    "\n",
-    "One can access the underlaying data using attributes:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# access the underlying data:\n",
-    "betapic.psf.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Attributes can also be set directly:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "if version.parse(vvip) <= version.parse(\"1.0.3\"):\n",
-    "    from vip_hci.conf import VLT_NACO\n",
-    "else:\n",
-    "    from vip_hci.config import VLT_NACO\n",
-    "    \n",
-    "betapic.px_scale = VLT_NACO[\"plsc\"]\n",
-    "betapic.px_scale"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 9.2.3. Modifying the object using methods"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Many of the operations require a normalized psf:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "betapic.normalize_psf()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "...which creates a `fwhm` attribute:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "betapic.fwhm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 9.2.4. Injecting companions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "betapic.inject_companions(flux=10000, rad_dists=30, n_branches=2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "betapic.injections_yx"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "betapic.plot()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": false,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": true
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/docs/source/tutorials/04_metrics.ipynb b/docs/source/tutorials/04_metrics.ipynb
index 38878ac6..d3d7de15 100644
--- a/docs/source/tutorials/04_metrics.ipynb
+++ b/docs/source/tutorials/04_metrics.ipynb
@@ -13,7 +13,7 @@
    "source": [
     "> Authors: *Carlos Alberto Gomez Gonzalez* and *Valentin Christiaens*  \n",
     "> Suitable for VIP *v1.0.0* onwards  \n",
-    "> Last update: *2022/05/04*"
+    "> Last update: *2022/05/12*"
    ]
   },
   {
@@ -2376,12 +2376,12 @@
        "\n",
        "\n",
        "\n",
-       "  <div class=\"bk-root\" id=\"c6904249-4baa-4b97-8b8e-59383849aa93\" data-root-id=\"1002\"></div>\n",
+       "  <div class=\"bk-root\" id=\"348533b5-119b-4afe-bf3f-212af1848b8e\" data-root-id=\"1002\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
        "  function embed_document(root) {\n",
-       "    var docs_json = 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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[101,101]}],\"x\":[-0.5],\"y\":[-0.5]},\"selected\":{\"id\":\"1039\"},\"selection_policy\":{\"id\":\"1067\"}},\"id\":\"1038\",\"type\":\"Co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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[101,101]}],\"x\":[-0.5],\"y\":[-0.5]},\"selected\":{\"id\":\"1039\"},\"selection_policy\":{\"id\":\"1067\"}},\"id\":\"1038\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"bar_line_color\":\"black\",\"color_mapper\":{\"id\":\"1037\"},\"coordinates\":null,\"group\":null,\"label_standoff\":8,\"location\":[0,0],\"major_label_policy\":{\"id\":\"1063\"},\"major_tick_line_color\":\"black\",\"ticker\":{\"id\":\"1049\"},\"width\":15},\"id\":\"1050\",\"type\":\"ColorBar\"},{\"attributes\":{\"toolbar\":{\"id\":\"1072\"},\"toolbar_location\":\"above\"},\"id\":\"1073\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"axis_label\":\"y\",\"coordinates\":null,\"formatter\":{\"id\":\"1057\"},\"group\":null,\"major_label_policy\":{\"id\":\"1058\"},\"ticker\":{\"id\":\"1021\"}},\"id\":\"1020\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1039\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1021\",\"type\":\"BasicTicker\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1037\"},\"dh\":{\"field\":\"dh\"},\"dw\":{\"field\":\"dw\"},\"image\":{\"field\":\"image\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1041\",\"type\":\"Image\"},{\"attributes\":{},\"id\":\"1026\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1058\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1063\",\"type\":\"NoOverlap\"},{\"attributes\":{\"source\":{\"id\":\"1038\"}},\"id\":\"1048\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1024\",\"type\":\"SaveTool\"},{\"attributes\":{\"high\":19.49021339416504,\"low\":-11.389810562133789,\"nan_color\":\"rgba(0, 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"reset_end\":100.5,\"reset_start\":-0.5,\"start\":-0.5,\"tags\":[[[\"y\",\"y\",null]]]},\"id\":\"1005\",\"type\":\"Range1d\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1038\"},\"glyph\":{\"id\":\"1041\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1045\"},\"nonselection_glyph\":{\"id\":\"1043\"},\"selection_glyph\":{\"id\":\"1051\"},\"view\":{\"id\":\"1048\"}},\"id\":\"1047\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text_color\":\"black\",\"text_font_size\":\"12pt\"},\"id\":\"1008\",\"type\":\"Title\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1037\"},\"dh\":{\"field\":\"dh\"},\"dw\":{\"field\":\"dw\"},\"global_alpha\":{\"value\":0.2},\"image\":{\"field\":\"image\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1045\",\"type\":\"Image\"},{\"attributes\":{\"axis\":{\"id\":\"1016\"},\"coordinates\":null,\"grid_line_color\":null,\"group\":null,\"ticker\":null},\"id\":\"1019\",\"type\":\"Grid\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1037\"},\"dh\":{\"field\":\"dh\"},\"dw\":{\"field\":\"dw\"},\"global_alpha\":{\"value\":0.1},\"image\":{\"field\":\"image\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1043\",\"type\":\"Image\"},{\"attributes\":{\"below\":[{\"id\":\"1016\"}],\"center\":[{\"id\":\"1019\"},{\"id\":\"1023\"}],\"height\":400,\"left\":[{\"id\":\"1020\"}],\"margin\":null,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"min_border_top\":10,\"renderers\":[{\"id\":\"1047\"}],\"right\":[{\"id\":\"1050\"}],\"sizing_mode\":\"fixed\",\"title\":{\"id\":\"1008\"},\"toolbar\":{\"id\":\"1030\"},\"toolbar_location\":null,\"width\":400,\"x_range\":{\"id\":\"1004\"},\"x_scale\":{\"id\":\"1012\"},\"y_range\":{\"id\":\"1005\"},\"y_scale\":{\"id\":\"1014\"}},\"id\":\"1007\",\"subtype\":\"Figure\",\"type\":\"Plot\"}],\"root_ids\":[\"1002\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.1\"}};\n",
+       "    var render_items = [{\"docid\":\"da28d03c-e806-423b-8770-914fbc63cb1a\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"348533b5-119b-4afe-bf3f-212af1848b8e\"}}];\n",
        "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
@@ -2546,7 +2546,7 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:09\n",
+      "Starting time: 2022-05-12 12:28:26\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     },
@@ -2567,7 +2567,7 @@
      "output_type": "stream",
      "text": [
       "S/N map created using 5 processes\n",
-      "Running time:  0:00:03.323966\n",
+      "Running time:  0:00:03.314252\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     }
@@ -2593,7 +2593,7 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:12\n",
+      "Starting time: 2022-05-12 12:28:29\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     },
@@ -2614,7 +2614,7 @@
      "output_type": "stream",
      "text": [
       "S/N map created using 5 processes\n",
-      "Running time:  0:00:00.512419\n",
+      "Running time:  0:00:00.425865\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     }
@@ -2927,11 +2927,11 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:15\n",
+      "Starting time: 2022-05-12 12:28:32\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Median psf reference subtracted\n",
       "Done derotating and combining\n",
-      "Running time:  0:00:01.194106\n",
+      "Running time:  0:00:01.133273\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Blobs found: 3\n",
       " ycen   xcen\n",
@@ -3032,60 +3032,60 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:16\n",
+      "Starting time: 2022-05-12 12:28:33\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "N annuli = 12, FWHM = 4.000\n",
       "PCA per annulus (or annular sectors):\n",
       "Ann 1    PA thresh: 11.42    Ann center:   2    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.041121\n",
+      "Running time:  0:00:00.032089\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 2    PA thresh:  6.94    Ann center:   6    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.376956\n",
+      "Running time:  0:00:00.333219\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 3    PA thresh:  6.04    Ann center:  10    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.626577\n",
+      "Running time:  0:00:00.481398\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 4    PA thresh:  5.65    Ann center:  14    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:00.825752\n",
+      "Running time:  0:00:00.607929\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 5    PA thresh:  5.44    Ann center:  18    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:01.007422\n",
+      "Running time:  0:00:00.758692\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 6    PA thresh:  5.30    Ann center:  22    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:01.225144\n",
+      "Running time:  0:00:00.938450\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 7    PA thresh:  5.21    Ann center:  26    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:01.422644\n",
+      "Running time:  0:00:01.132032\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 8    PA thresh:  5.14    Ann center:  30    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:01.671052\n",
+      "Running time:  0:00:01.315886\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 9    PA thresh:  5.08    Ann center:  34    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:01.905877\n",
+      "Running time:  0:00:01.485998\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 10    PA thresh:  5.04    Ann center:  38    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.189063\n",
+      "Running time:  0:00:01.706212\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 11    PA thresh:  5.01    Ann center:  42    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.509735\n",
+      "Running time:  0:00:01.875746\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Ann 12    PA thresh:  5.09    Ann center:  45    N segments: 1 \n",
       "Done PCA with lapack for current annulus\n",
-      "Running time:  0:00:02.976945\n",
+      "Running time:  0:00:02.086179\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Done derotating and combining.\n",
-      "Running time:  0:00:04.183493\n",
+      "Running time:  0:00:03.195348\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Blobs found: 4\n",
       " ycen   xcen\n",
@@ -3284,38 +3284,38 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:22\n",
+      "Starting time: 2022-05-12 12:28:38\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Cube without fake companions processed with pca\n",
-      "Running time:  0:00:01.241402\n",
+      "Running time:  0:00:01.129060\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Measured annulus-wise noise in resulting frame\n",
-      "Running time:  0:00:01.261918\n",
+      "Running time:  0:00:01.148820\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Flux in 1xFWHM aperture: 1.000\n",
       "Fake companions injected in branch 1 (pattern 1/3)\n",
-      "Running time:  0:00:01.301784\n",
+      "Running time:  0:00:01.187973\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Cube with fake companions processed with pca\n",
       "Measuring its annulus-wise throughput\n",
-      "Running time:  0:00:02.531053\n",
+      "Running time:  0:00:02.311214\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Fake companions injected in branch 1 (pattern 2/3)\n",
-      "Running time:  0:00:02.560861\n",
+      "Running time:  0:00:02.340897\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Cube with fake companions processed with pca\n",
       "Measuring its annulus-wise throughput\n",
-      "Running time:  0:00:03.790843\n",
+      "Running time:  0:00:03.468227\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Fake companions injected in branch 1 (pattern 3/3)\n",
-      "Running time:  0:00:03.814929\n",
+      "Running time:  0:00:03.490540\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Cube with fake companions processed with pca\n",
       "Measuring its annulus-wise throughput\n",
-      "Running time:  0:00:05.041242\n",
+      "Running time:  0:00:04.607704\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Finished measuring the throughput in 1 branches\n",
-      "Running time:  0:00:05.043284\n",
+      "Running time:  0:00:04.609510\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     }
@@ -3487,12 +3487,12 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:38\n",
+      "Starting time: 2022-05-12 12:28:52\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "ALGO : pca, FWHM = 4.603450563658683, # BRANCHES = 1, SIGMA = 5, STARPHOT = 764939.6\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Finished the throughput calculation\n",
-      "Running time:  0:00:04.924223\n",
+      "Running time:  0:00:04.559482\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     },
@@ -3574,12 +3574,12 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:44\n",
+      "Starting time: 2022-05-12 12:28:57\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "ALGO : pca_annular, FWHM = 4.603450563658683, # BRANCHES = 1, SIGMA = 5, STARPHOT = 764939.6\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Finished the throughput calculation\n",
-      "Running time:  0:00:14.707756\n",
+      "Running time:  0:00:11.174366\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     },
@@ -3726,12 +3726,12 @@
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:22:59\n",
+      "Starting time: 2022-05-12 12:29:09\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "ALGO : pca_annular, FWHM = 4.603450563658683, # BRANCHES = 1, SIGMA = 5, STARPHOT = 764939.6\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Finished the throughput calculation\n",
-      "Running time:  0:00:15.539316\n",
+      "Running time:  0:00:11.389965\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
     },
@@ -3842,23 +3842,43 @@
       "New shape: (15, 15)\n",
       "Contrast curve not provided => will be computed first...\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Starting time: 2022-05-06 10:23:16\n",
+      "Starting time: 2022-05-12 12:29:21\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "ALGO : pca, FWHM = 4.603450563658683, # BRANCHES = 1, SIGMA = 3, STARPHOT = 764939.6\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "Finished the throughput calculation\n",
-      "Running time:  0:00:05.056520\n",
+      "Running time:  0:00:00.448024\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Distance: 15 Final contrast 0.0017746656072788701\n",
-      "Distance: 20 Final contrast 0.00121898001551907\n",
-      "Distance: 25 Final contrast 0.0005125161932684635\n",
-      "Distance: 30 Final contrast 0.0002950341345306717\n",
-      "Distance: 35 Final contrast 0.0002187039470150246\n"
+      "Calculating initial SNR map with no injected companion...\n",
+      "*** Calculating contrast at r = 10 ***\n",
+      "Found contrast level for first TP detection: 0.0015327681548457951\n",
+      "Found lower and upper bounds of sought contrast: [0.0015327681548457951, 0.0022991522322686926]\n",
+      "=> found final contrast for 95.0% completeness: 0.0017243641742015195\n",
+      "*** Calculating contrast at r = 15 ***\n",
+      "Found contrast level for first TP detection: 0.0003616123294953311\n",
+      "Found lower and upper bounds of sought contrast: [0.0003616123294953311, 0.0005424184942429967]\n",
+      "=> found final contrast for 95.0% completeness: 0.0004221639482406645\n",
+      "*** Calculating contrast at r = 20 ***\n",
+      "Found contrast level for first TP detection: 0.0002071523791812666\n",
+      "Found lower and upper bounds of sought contrast: [0.0002071523791812666, 0.0003107285687718999]\n",
+      "=> found final contrast for 95.0% completeness: 0.00028393862916889663\n",
+      "*** Calculating contrast at r = 25 ***\n",
+      "Found contrast level for first TP detection: 0.00011326538009746645\n",
+      "Found lower and upper bounds of sought contrast: [0.00011326538009746645, 0.00016989807014619967]\n",
+      "=> found final contrast for 95.0% completeness: 0.00015042208803844033\n",
+      "*** Calculating contrast at r = 30 ***\n",
+      "Found contrast level for first TP detection: 9.565560076278946e-05\n",
+      "Found lower and upper bounds of sought contrast: [9.565560076278946e-05, None]\n",
+      "=> found final contrast for 95.0% completeness: 0.0001434834011441842\n",
+      "*** Calculating contrast at r = 35 ***\n",
+      "Found contrast level for first TP detection: 8.217772195037159e-05\n",
+      "Found lower and upper bounds of sought contrast: [8.217772195037159e-05, 0.0001232665829255574]\n",
+      "=> found final contrast for 95.0% completeness: 0.00010435646573372887\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 800x500 with 1 Axes>"
       ]
@@ -3872,10 +3892,10 @@
    "source": [
     "crop_sz = 15\n",
     "if psf.shape[-1]>crop_sz:\n",
-    "    psf = frame_crop(psf, 15)\n",
-    "an_dist, comp_curve = completeness_curve(cube, angs, psf, fwhm_naco, pca, an_dist=[15,20,25,30,35], \n",
-    "                                         pxscale=pxscale_naco, ini_contrast=None, \n",
-    "                                         starphot=starphot, plot=True, nproc=None)"
+    "    psf = frame_crop(psf, crop_sz)\n",
+    "an_dist, comp_curve = completeness_curve(cube_emp, angs, psf, fwhm_naco, pca, an_dist=np.arange(10,40,5), \n",
+    "                                         pxscale=pxscale_naco, ini_contrast=None, starphot=starphot, \n",
+    "                                         plot=True, nproc=None, algo_dict={'ncomp':3, 'imlib':'opencv'})"
    ]
   },
   {
@@ -3896,59 +3916,62 @@
    "cell_type": "code",
    "execution_count": 38,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "n_fc = 20\n",
+    "test_an_dist = 25 # tested radial distance\n",
+    "\n",
+    "# initial contrast set to value found in completeness curve\n",
+    "idx = np.where(an_dist == test_an_dist)[0]\n",
+    "ini_contrast = comp_curve[idx]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Starting annulus 25\n",
-      "Lower boundary found\n",
-      "Upper boundary found\n",
-      "Data point 0.05 found. Still 16 data point(s) missing\n",
-      "Data point 0.1 found. Still 15 data point(s) missing\n",
+      "Lower bound (5%) found: 1.1294395289843065e-05\n",
+      "Upper bound (95%) found: 0.00015042208803844033\n",
       "Data point 0.15 found. Still 14 data point(s) missing\n",
       "Data point 0.25 found. Still 13 data point(s) missing\n",
-      "Data point 0.3 found. Still 12 data point(s) missing\n",
-      "Data point 0.35 found. Still 11 data point(s) missing\n",
-      "Data point 0.4 found. Still 9 data point(s) missing\n",
-      "Data point 0.5 found. Still 8 data point(s) missing\n",
-      "Data point 0.55 found. Still 7 data point(s) missing\n",
-      "Data point 0.6 found. Still 6 data point(s) missing\n",
+      "Data point 0.3 found. Still 11 data point(s) missing\n",
+      "Data point 0.4 found. Still 10 data point(s) missing\n",
+      "Data point 0.45 found. Still 9 data point(s) missing\n",
+      "Data point 0.55 found. Still 8 data point(s) missing\n",
+      "Data point 0.65 found. Still 6 data point(s) missing\n",
       "Data point 0.7 found. Still 5 data point(s) missing\n",
-      "Data point 0.85 found. Still 3 data point(s) missing\n"
+      "Data point 0.75 found. Still 4 data point(s) missing\n",
+      "Data point 0.9 found. Still 1 data point(s) missing\n"
      ]
     }
    ],
    "source": [
-    "crop_sz = 15\n",
-    "if psf.shape[-1]>crop_sz:\n",
-    "    psf = frame_crop(psf, 15)\n",
-    "n_fc = 20\n",
-    "test_an_dist = 25 # tested radial distance\n",
-    "\n",
-    "# initial contrast set to value found in completeness curve\n",
-    "idx = an_dist.index(test_an_dist)\n",
-    "ini_contrast = [comp_curve[idx]]\n",
-    "\n",
-    "an_dist, comp_map = completeness_map(cube, angs, psf, fwhm_naco, pca, an_dist=[test_an_dist], n_fc=n_fc,\n",
-    "                                     ini_contrast=ini_contrast, starphot=starphot, nproc=None)"
+    "an_dist, comp_levels, contrasts = completeness_map(cube_emp, angs, psf, fwhm_naco, pca, an_dist=[test_an_dist], \n",
+    "                                                   n_fc=n_fc, ini_contrast=ini_contrast, starphot=starphot, \n",
+    "                                                   nproc=None, algo_dict={'ncomp':3, 'imlib':'opencv'})"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's plot how the completeness-based contrast evolves as a function of azimuth at a radial separation of 25 px:"
+    "Let's plot the achieved contrast as a function of the assumed completeness ratio, at a radial separation of 25 px:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -3960,10 +3983,8 @@
     }
    ],
    "source": [
-    "comp = np.linspace(0, 1, n_fc+1, endpoint=True)\n",
-    "\n",
     "fig = plt.figure(figsize = [5,5])\n",
-    "plt.plot(comp, comp_map[0,:])\n",
+    "plt.plot(comp_levels, contrasts[0,:])\n",
     "plt.xlabel(\"Completeness\")\n",
     "plt.ylabel(\"Contrast at {} px separation\".format(test_an_dist))\n",
     "plt.show()"
diff --git a/tests/test_fm_negfc_3d.py b/tests/test_fm_negfc_3d.py
index 4dd3afe1..5f8e247e 100644
--- a/tests/test_fm_negfc_3d.py
+++ b/tests/test_fm_negfc_3d.py
@@ -47,7 +47,7 @@ def injected_cube_position(example_dataset_adi):
                  (pca, firstguess, 3, True, None, False, None),
                  (median_sub, firstguess, None, False, 'sum', False, None),
                  (pca_annulus, mcmc_negfc_sampling, 3, False, 'stddev', False, 'gb'),
-                 (pca_annulus, mcmc_negfc_sampling, 2, True, None, True, 'ac'),
+                 (pca_annulus, mcmc_negfc_sampling, 7, True, None, True, 'ac'),
                  (pca_annulus, nested_negfc_sampling, 3, False, 'sum', False, None)
                  ])
 def test_algos(injected_cube_position, pca_algo, negfc_algo, ncomp, mu_sigma,
diff --git a/tests/test_metrics_completeness.py b/tests/test_metrics_completeness.py
index 619779b2..421808b1 100644
--- a/tests/test_metrics_completeness.py
+++ b/tests/test_metrics_completeness.py
@@ -68,16 +68,16 @@ def test_completeness_map(get_cube_empty):
 
     expected_res = np.array([0.00048027])
     psf = frame_crop(ds.psf, 11, force=True)
-    an_dist, comp_map = completeness_map(ds.cube, ds.angles, psf, ds.fwhm, pca, 
-                                         an_dist=[20], 
-                                         ini_contrast=expected_res,
-                                         starphot=starphot,
-                                         algo_dict={'imlib':'opencv'})
+    an_dist, comp_lvls, contrasts = completeness_map(ds.cube, ds.angles, psf, 
+                                                     ds.fwhm, pca, an_dist=[20], 
+                                                     ini_contrast=expected_res,
+                                                     starphot=starphot,
+                                                     algo_dict={'imlib':'opencv'})
 
-    if np.allclose(comp_map[:, -2]/expected_res, [1], atol=0.5):
+    if np.allclose(contrasts[:, -2]/expected_res, [1], atol=0.5):
         check = True
     else:
-        print(comp_map[:, -2])
+        print(contrasts[:, -2])
         check = False
 
     msg = "Issue with completeness map estimation"
diff --git a/tests/test_pipeline_adi.py b/tests/test_pipeline_adi.py
index b3b20763..a98485f6 100644
--- a/tests/test_pipeline_adi.py
+++ b/tests/test_pipeline_adi.py
@@ -77,6 +77,8 @@ def algo_nmf_annular(ds):
 def algo_pca(ds):
     return vip.psfsub.pca(ds.cube, ds.angles, svd_mode='arpack')
 
+def algo_pca_linalg(ds):
+    return vip.psfsub.pca(ds.cube, ds.angles, svd_mode='eigen')
 
 def algo_pca_drot(ds):
     return vip.psfsub.pca(ds.cube, ds.angles, ncomp=4, fwhm=ds.fwhm, 
@@ -155,11 +157,13 @@ def verify_expcoord(vectory, vectorx, exp_yx):
                  (algo_medsub_annular, snrmap_fast),
                  (algo_xloci, snrmap_fast),
                  (algo_nmf, snrmap_fast),
+                 (algo_nmf_drot, snrmap_fast),
                  (algo_nmf_annular, snrmap_fast),
                  (algo_llsg, snrmap_fast),
                  (algo_frdiff, snrmap_fast),
                  (algo_frdiff4, snrmap_fast),
                  (algo_pca, snrmap_fast),
+                 (algo_pca_linalg, snrmap_fast),
                  (algo_pca_drot, snrmap_fast),
                  (algo_pca_cevr, snrmap_fast),
                  (algo_pca_grid, snrmap_fast),
diff --git a/tests/test_pipeline_adi_andro.py b/tests/test_pipeline_adi_andro.py
index 6829352b..9942355c 100644
--- a/tests/test_pipeline_adi_andro.py
+++ b/tests/test_pipeline_adi_andro.py
@@ -43,6 +43,13 @@ def algo_andromeda(ds):
     contrast, snr, snr_n, stdcontrast, stdcontrast_n, likelihood, r = res
     return snr_n
 
+def algo_andromeda_l1(ds):
+    res = vip.invprob.andromeda(ds.cube[:, :-1, :-1], oversampling_fact=1.8,
+                                angles=ds.angles, psf=ds.psf, iwa=0.5,
+                                opt_method='l1')
+    contrast, snr, snr_n, stdcontrast, stdcontrast_n, likelihood, r = res
+    return snr_n
+
 
 def algo_andromeda_fast(ds):
     res = vip.invprob.andromeda(ds.cube[:, :-1, :-1], oversampling_fact=0.5,
@@ -98,6 +105,7 @@ def verify_expcoord(vectory, vectorx, exp_yx):
 @parametrize("algo, make_detmap",
              [
                  (algo_andromeda, None),
+                 (algo_andromeda_l1, None),
                  (algo_andromeda_fast, None)
                  # (algo_fast_paco, None),
                  # (algo_fast_paco_parallel, None),
diff --git a/tests/test_pipeline_rdi.py b/tests/test_pipeline_rdi.py
index 160260b7..f2059ea5 100644
--- a/tests/test_pipeline_rdi.py
+++ b/tests/test_pipeline_rdi.py
@@ -121,6 +121,7 @@ def verify_expcoord(vectory, vectorx, exp_yx):
 
 @parametrize("algo, make_detmap", [
     (algo_pca, snrmap_fast),
+    (algo_pca_mask, snrmap_fast),
     (algo_pca_annular_ardi, snrmap_fast),
     (algo_pca_annular_rdi, snrmap_fast),
     (algo_nmf, snrmap_fast),
diff --git a/tests/test_preproc_recentering.py b/tests/test_preproc_recentering.py
index b32d81ef..563801e6 100644
--- a/tests/test_preproc_recentering.py
+++ b/tests/test_preproc_recentering.py
@@ -1,10 +1,13 @@
 from sklearn.metrics import mean_squared_error
 from vip_hci.preproc import (cube_recenter_2dfit, cube_recenter_dft_upsampling,
                              cube_recenter_satspots, cube_recenter_via_speckles,
-                             frame_shift)
+                             cube_recenter_radon, frame_shift, cube_subsample,
+                             cube_correct_nan, approx_stellar_position)
+from vip_hci.var import frame_center
 import vip_hci as vip
 import hciplot
 from astropy.modeling import models
+from astropy.utils.data import download_file
 from .helpers import fixture, np
 import copy
 import matplotlib as mpl
@@ -66,6 +69,25 @@ def get_cube(example_dataset_adi):
 
     return dsi
 
+@fixture(scope="module")
+def get_ifs_cube(example_dataset_sdi):
+    """
+    Get the ADI+IFS sequence from conftest.py.
+
+    Parameters
+    ----------
+    example_dataset_sdi : fixture
+        Taken automatically from ``conftest.py``.
+
+    Returns
+    -------
+    dsi : VIP Dataset
+
+    """
+    dsi = copy.copy(example_dataset_sdi)
+
+    return dsi
+
 
 def shift_cube(cube, randax, randay):
     return np.array([frame_shift(cube[i], randay[i], randax[i])
@@ -178,8 +200,8 @@ def do_recenter(method, cube, shiftx, shifty, errormsg, mse=1e-2,
             print(" " * 18, unshifty)
             print("\033[33moriginal shifts\033[0m:  ", -shiftx)
             print(" " * 18, -shifty)
-        print("\033[33merrors:\033[0m", mean_squared_error(
-            shiftx, -unshiftx), mean_squared_error(shifty, -unshifty))
+        print("\033[33merrors:\033[0m", mean_squared_error(shiftx, -unshiftx), 
+              mean_squared_error(shifty, -unshifty))
 
     # ===== verify error
     assert mean_squared_error(shiftx, -unshiftx) < mse, errormsg
@@ -198,7 +220,36 @@ def do_recenter(method, cube, shiftx, shifty, errormsg, mse=1e-2,
 #   d88P"Y88b      Y88b.  Y8b.          X88 Y88b.       X88
 #  dP"     "Yb      "Y888  "Y8888   88888P'  "Y888  88888P'
 
+def test_approx_star(debug=False):
+    """
+    tests `approx_stellar_position`. The data cube is generated from a 2D 
+    gaussian (positive case).
+    """
+    global seed
+
+    if debug:
+        html("<h2>===== test_2d =====</h2>")
+
+    method = approx_stellar_position
+    errormsg = 'Error when recentering with approx. stellar position method'
+    n_frames = 6
+
 
+    for model, name in {"gauss": "Gaussian"}.items():
+
+        # ===== odd
+        cube = create_cube_with_gauss2d(shape=(n_frames, 9, 9), mean=4,
+                                        stddev=1)
+        cube += np.random.normal(0, 0.1, cube.shape)
+        cy, cx = frame_center(cube)
+        est_yx = method(cube, fwhm=1)
+        esty = est_yx[:,0]
+        estx = est_yx[:,1]
+        mse = 0.02
+        assert mean_squared_error([cy]*len(esty), esty) < mse, errormsg
+        assert mean_squared_error([cx]*len(estx), estx) < mse, errormsg
+        
+    
 def test_2d(debug=False):
     """
     tests `cube_recenter_2dfit`. The data cube is generated from a 2D gaussian
@@ -223,8 +274,8 @@ def test_2d(debug=False):
         cube = create_cube_with_gauss2d(shape=(n_frames, 9, 9), mean=4,
                                         stddev=1)
 
-        method_args = dict(fwhm=1, subi_size=5, model=model, verbose=False,
-                           negative=False, full_output=True, plot=False)
+        method_args = dict(fwhm=1, subi_size=5, model=model, verbose=True,
+                           negative=False, full_output=True, plot=True)
         do_recenter(method, cube, randax, randay,
                     errormsg=errormsg.format(name), debug=debug, **method_args)
 
@@ -232,8 +283,8 @@ def test_2d(debug=False):
         cube = create_cube_with_gauss2d(shape=(n_frames, 10, 10), mean=5,
                                         stddev=1)
 
-        method_args = dict(fwhm=1, subi_size=6, model=model, verbose=False,
-                           negative=False, full_output=True, plot=False)
+        method_args = dict(fwhm=1, subi_size=6, model=model, verbose=True,
+                           negative=False, full_output=True, plot=True)
         do_recenter(method, cube, randax, randay,
                     errormsg=errormsg.format(name), debug=debug, **method_args)
 
@@ -241,8 +292,8 @@ def test_2d(debug=False):
         cube = create_cube_with_gauss2d_ring(shape=(n_frames, 9, 9), mean=4,
                                              stddev_outer=3, stddev_inner=2)
 
-        method_args = dict(fwhm=1, subi_size=5, model=model, verbose=False,
-                           negative=True, full_output=True, plot=False)
+        method_args = dict(fwhm=1, subi_size=5, model=model, verbose=True,
+                           negative=True, full_output=True, plot=True)
         do_recenter(method, cube, randax, randay,
                     errormsg=errormsg.format(name), debug=debug, **method_args)
 
@@ -250,19 +301,19 @@ def test_2d(debug=False):
         cube = create_cube_with_gauss2d_ring(shape=(n_frames, 10, 10), mean=5,
                                              stddev_outer=3, stddev_inner=2)
 
-        method_args = dict(fwhm=1, subi_size=6, model=model, verbose=False,
-                           negative=True, full_output=True, plot=False)
+        method_args = dict(fwhm=1, subi_size=6, model=model, verbose=True,
+                           negative=True, full_output=True, plot=True)
         do_recenter(method, cube, randax, randay,
                     errormsg=errormsg.format(name), debug=debug, **method_args)
-
-
+        
+        
 def test_dft(debug=False):
     global seed
     if debug:
         html("<h2>===== test_dft =====</h2>")
 
     method = cube_recenter_dft_upsampling
-    method_args_additional = dict(verbose=True, full_output=True, plot=False)
+    method_args_additional = dict(verbose=True, full_output=True, plot=True)
     errormsg = 'Error when recentering with DFT upsampling method'
     n_frames = 6
 
@@ -346,7 +397,7 @@ def test_dft_image(debug=False):
 
     # ===== recenter
     method_args = dict(center_fr1=(51, 51), subi_size=None, verbose=True,
-                       negative=True, full_output=True, plot=False)
+                       negative=True, full_output=True, plot=True)
     do_recenter(method, cube, randax, randay, errormsg=errormsg,
                 mse_skip_first=True, debug=debug, **method_args)
 
@@ -370,8 +421,8 @@ def test_satspots_image(debug=False):
 
     # ===== recenter
     spotcoords = [(41, 109), (109, 109), (41, 41), (109, 41)]  # NW NE SW SE
-    method_args = dict(xy=spotcoords, subi_size=25, plot=False,
-                       full_output=True, verbose=False)
+    method_args = dict(xy=spotcoords, subi_size=25,
+                       full_output=True, verbose=True)
     do_recenter(method, cube, randax, randay, errormsg=errormsg, debug=debug,
                 **method_args)
 
@@ -394,16 +445,50 @@ def test_satspots(debug=False):
     randay = seed.uniform(0, shift_magnitude, size=n_frames)
 
     # ===== recenter
-    method_args = dict(xy=spotcoords, subi_size=9, plot=False,
-                       full_output=True, verbose=False)
+    method_args = dict(xy=spotcoords, subi_size=9, plot=True,
+                       full_output=True, verbose=True)
     do_recenter(method, cube, randax, randay, errormsg=errormsg, debug=debug,
                 **method_args)
 
 
+def test_radon(debug=False):
+    global seed
+    if debug:
+        html("<h2>===== test_radon =====</h2>")
+
+    method = cube_recenter_radon
+    errormsg = 'Error when recentering with Radon transform'
+    n_frames = 1
+
+    # ===== datacube
+    url_prefix = "https://github.com/vortex-exoplanet/VIP_extras/raw/master/datasets"
+
+    f1 = download_file("{}/sphere_ifs_PDS70_cen.fits".format(url_prefix),
+                       cache=True)
+
+    # load fits
+    cube = vip.fits.open_fits(f1)
+
+    # subsample and correct for NaNs
+    cube = cube_subsample(cube, 20) #discard last channels with BKG star bias
+    cube = cube_correct_nan(cube)
+
+    # ===== shift
+    shift_magnitude = 1
+    randax = seed.uniform(-shift_magnitude, 0, size=n_frames)
+    randay = seed.uniform(0, shift_magnitude, size=n_frames)
+
+    # ===== recenter
+    method_args = dict(hsize=1.5, step=0.1, cropsize=131, full_output=True, 
+                       mask_center=30, verbose=True)
+    do_recenter(method, cube, randax, randay, errormsg=errormsg, debug=debug,
+                mse=0.8, **method_args)
+    
+
 def test_speckle_recentering(get_cube, debug=False):
     global seed
     if debug:
-        html("<h2>===== test_satspots =====</h2>")
+        html("<h2>===== test_speckle_recentering =====</h2>")
 
     method = cube_recenter_via_speckles
     errormsg = 'Error when recentering via speckles'
@@ -417,8 +502,11 @@ def test_speckle_recentering(get_cube, debug=False):
     randay = np.ones(n_frames)
 
     # ===== recenter
-    method_args = dict(plot=False, full_output=True, fwhm=4.2,
-                       recenter_median=True, subframesize=49, imlib='opencv',
-                       interpolation='lanczos4')
-    do_recenter(method, ds.cube, randax, randay, errormsg=errormsg, debug=debug,
-                mse=0.2*n_frames, **method_args)
+    types = ['gaus', 'ann']
+    
+    for ty in types:
+        method_args = dict(plot=False, full_output=True, fwhm=4.2, fit_type=ty,
+                           recenter_median=True, subframesize=49, imlib='opencv',
+                           interpolation='lanczos4')
+        do_recenter(method, ds.cube, randax, randay, errormsg=errormsg, 
+                    debug=debug, mse=0.04, **method_args)
diff --git a/vip_hci/__init__.py b/vip_hci/__init__.py
index 138131b7..4e678c82 100644
--- a/vip_hci/__init__.py
+++ b/vip_hci/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "1.2.4"
+__version__ = "1.3.0"
 
 from . import preproc
 from . import config
diff --git a/vip_hci/metrics/completeness.py b/vip_hci/metrics/completeness.py
index a81651ce..0064a9fb 100644
--- a/vip_hci/metrics/completeness.py
+++ b/vip_hci/metrics/completeness.py
@@ -4,7 +4,7 @@
 Module with completeness curve and map generation function.
 """
 
-__author__ = 'C.H. Dahlqvist'
+__author__ = 'C.H. Dahlqvist, V. Christiaens'
 __all__ = ['completeness_curve',
            'completeness_map']
 
@@ -124,13 +124,17 @@ def _estimate_snr_fc(a, b, level, n_fc, cube, psf, angle_list, fwhm, algo,
     snrmap_fin[indc[0], indc[1]] = 0
     max_map = np.nan_to_num(snrmap_fin).max()
 
+    if b==2 and max_target-max_map<0:
+        from hciplot import plot_frames 
+        plot_frames((snrmap_empty, snrmap_temp, snrmap_fin))
+
     return max_target-max_map, b
 
 
 def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
                        ini_contrast=None, starphot=1, pxscale=0.1, n_fc=20,
                        completeness=0.95, snr_approximation=True, max_iter=50,
-                       nproc=1, algo_dict={'ncomp': 20}, plot=True, 
+                       nproc=1, algo_dict={}, verbose=True, plot=True, 
                        dpi=vip_figdpi, save_plot=None, object_name=None, 
                        fix_y_lim=(), figsize=vip_figsize):
     """
@@ -204,6 +208,8 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
     algo_dict: dictionary, optional
         Any other valid parameter of the post-processing algorithms can be
         passed here, including e.g. imlib and interpolation.
+    verbose : bool, optional
+        Whether to print more info while running the algorithm. Default: True.
     plot : bool, optional
         Whether to plot the final contrast curve or not. True by default.
     dpi : int optional
@@ -275,6 +281,8 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
             idx = find_nearest(ini_rads, ad)
             ini_contrast.append(ini_cc[idx])
 
+    if verbose:
+        print("Calculating initial SNR map with no injected companion...")
     argl = getfullargspec(algo).args
     if 'cube' in argl and 'angle_list' in argl:
         if 'fwhm' in argl:
@@ -303,19 +311,22 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
                                                                 psf.shape[1]))
 
     for k in range(len(an_dist)):
-
         a = an_dist[k]
         level = ini_contrast[k]
         pos_detect = []
 
+        if verbose:
+            print("*** Calculating contrast at r = {} ***".format(a))
+
         detect_bound = [None, None]
         level_bound = [None, None]
-        it = 0
+        ii = 0
         err_msg = "Could not converge on a contrast level matching required "
         err_msg += "completeness within {} iterations. Tested level: {}. "
-        err_msg += "Consider increasing min radius."
+        err_msg += "Is there too much self-subtraction? Consider decreasing "
+        err_msg += "ncomp if using PCA, or increasing minimum requested radius."
         
-        while len(pos_detect) == 0 and it < max_iter:
+        while len(pos_detect) == 0 and ii < max_iter:
             pos_detect = []
             pos_non_detect = []
             val_detect = []
@@ -323,7 +334,8 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
 
             res = pool_map(nproc, _estimate_snr_fc, a, iterable(range(0, n_fc)),
                            level, n_fc, cube, psf, angle_list, fwhm, algo,
-                           algo_dict, snrmap_empty, starphot, approximated=True)
+                           algo_dict, snrmap_empty, starphot, 
+                           approximated=snr_approximation)
 
             for res_i in res:
 
@@ -336,9 +348,13 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
 
             if len(pos_detect) == 0:
                 level = level*1.5
-            it += 1
+            ii += 1
             
-        if it == max_iter:
+        if verbose:
+            msg = "Found contrast level for first TP detection: {}"
+            print(msg.format(level))
+            
+        if ii == max_iter:
             raise ValueError(err_msg.format(max_iter, level))
 
         if len(pos_detect) > round(completeness*n_fc):
@@ -355,8 +371,8 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
         cond1 = (detect_bound[0] is None or detect_bound[1] is None)
         cond2 = (len(pos_detect) != round(completeness*n_fc))
 
-        it = 0
-        while cond1 and cond2 and it<max_iter:
+        ii = 0
+        while cond1 and cond2 and ii<max_iter:
 
             if detect_bound[0] is None:
 
@@ -369,7 +385,7 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
                 res = pool_map(nproc, _estimate_snr_fc, a, 
                                iterable(range(0, n_fc)), level, n_fc, cube, psf, 
                                angle_list, fwhm, algo, algo_dict, snrmap_empty, 
-                               starphot, approximated=True)
+                               starphot, approximated=snr_approximation)
 
                 for res_i in res:
 
@@ -399,11 +415,10 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
                                iterable(-np.sort(-np.array(pos_non_detect))),
                                level, n_fc, cube, psf, angle_list, fwhm, algo,
                                algo_dict, snrmap_empty, starphot,
-                               approximated=True)
+                               approximated=snr_approximation)
 
                 it = len(pos_non_detect)-1
                 for res_i in res:
-
                     if res_i[0] > 0:
                         pos_detect.append(res_i[1])
                         val_detect.append(res_i[0])
@@ -425,9 +440,13 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
 
             cond1 = (detect_bound[0] is None or detect_bound[1] is None)
             cond2 = (len(pos_detect) != comp_temp)
-            it += 1
+            ii += 1
+        
+        if verbose:
+            msg = "Found lower and upper bounds of sought contrast: {}"
+            print(msg.format(level_bound))
             
-        if it == max_iter:
+        if ii == max_iter:
             raise ValueError(err_msg.format(max_iter, level))
 
         if len(pos_detect) != round(completeness*n_fc):
@@ -437,8 +456,8 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
             pos_detect = pos_detect_temp.copy()
             val_detect = val_detect_temp.copy()
 
-        it = 0
-        while len(pos_detect) != round(completeness*n_fc) and it < max_iter:
+        ii = 0
+        while len(pos_detect) != round(completeness*n_fc) and ii < max_iter:
             fact = (level_bound[1]-level_bound[0]) / \
                     (detect_bound[1]-detect_bound[0])
             level = level_bound[0]+fact*(completeness*n_fc-detect_bound[0])
@@ -446,7 +465,8 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
             res = pool_map(nproc, _estimate_snr_fc, a,
                            iterable(-np.sort(-np.array(pos_non_detect))),
                            level, n_fc, cube, psf, angle_list, fwhm, algo,
-                           algo_dict, snrmap_empty, starphot, approximated=True)
+                           algo_dict, snrmap_empty, starphot, 
+                           approximated=snr_approximation)
 
             it = len(pos_non_detect)-1
             for res_i in res:
@@ -476,13 +496,14 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
                 val_non_detect = val_non_detect_temp.copy()
                 pos_detect = pos_detect_temp.copy()
                 val_detect = val_detect_temp.copy()
-            it += 1
+            ii += 1
 
-        if it == max_iter:
+        if ii == max_iter:
             raise ValueError(err_msg.format(max_iter, level))
-            
-        print("Distance: "+"{}".format(a)+" Final contrast " +
-              "{}".format(level))
+        
+        if verbose:
+            msg = "=> found final contrast for {}% completeness: {}" 
+            print(msg.format(completeness*100, level))
         cont_curve[k] = level   
             
     # plotting
@@ -533,7 +554,7 @@ def completeness_curve(cube, angle_list, psf, fwhm, algo, an_dist=None,
 
 def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
                      starphot=1, n_fc=20, snr_approximation=True, nproc=1,
-                     algo_dict={'ncomp': 20}, verbose=True):
+                     algo_dict={}, verbose=True):
     """
     Function allowing the computation of two dimensional (radius and 
     completeness) contrast curves with any psf-subtraction algorithm provided by
@@ -592,7 +613,7 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
         as 1/n_fc and the maximum is 1-1/n_fc). Default 20.
     snr_approximated : bool, optional
         If True, an approximated S/N map is generated. If False the
-        approach of Mawett et al. is used (2014). Default is True
+        approach of Mawet et al. is used (2014). Default is True
     nproc : int or None
         Number of processes for parallel computing.
     algo_dict
@@ -606,9 +627,12 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
     -------
     an_dist: 1d numpy ndarray
         Radial distances where the contrasts are calculated
+    comp_levels: 1d numpy ndarray
+        Completeness levels for which the contrasts are calculated
     cont_curve: 2d numpy ndarray
         Contrast matrix, with the first axis associated to the radial distances
-        and the second axis associated to the completeness level.
+        and the second axis associated to the completeness level, calculated 
+        from 1/n_fc to (n_fc-1)/n_fc.
 
     """
 
@@ -688,7 +712,8 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
             pos_non_detect = []
             res = pool_map(nproc, _estimate_snr_fc, a, iterable(range(0, n_fc)),
                            level, n_fc, cube, psf, angle_list, fwhm, algo,
-                           algo_dict, snrmap_empty, starphot, approximated=True)
+                           algo_dict, snrmap_empty, starphot, 
+                           approximated=snr_approximation)
 
             for res_i in res:
 
@@ -709,7 +734,8 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
             res = pool_map(nproc, _estimate_snr_fc, a,
                            iterable(-np.sort(-np.array(pos_detect))), level,
                            n_fc, cube, psf, angle_list, fwhm, algo, algo_dict,
-                           snrmap_empty, starphot, approximated=True)
+                           snrmap_empty, starphot, 
+                           approximated=snr_approximation)
 
             it = len(pos_detect)-1
             for res_i in res:
@@ -724,7 +750,7 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
                                                   list(pos_non_detect.copy())]
 
         if verbose:
-            print("Lower boundary found")
+            print("Lower bound ({:.0f}%) found: {}".format(100/n_fc, level))
 
         level = contrast_matrix[k, np.where(contrast_matrix[k, :] > 0)[0][-1]]
 
@@ -738,7 +764,8 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
             res = pool_map(nproc, _estimate_snr_fc, a,
                            iterable(-np.sort(-np.array(pos_non_detect))),
                            level, n_fc, cube, psf, angle_list, fwhm, algo,
-                           algo_dict, snrmap_empty, starphot, approximated=True)
+                           algo_dict, snrmap_empty, starphot, 
+                           approximated=snr_approximation)
 
             it = len(pos_non_detect)-1
             for res_i in res:
@@ -753,7 +780,8 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
                                                   list(pos_non_detect.copy())]
 
         if verbose:
-            print("Upper boundary found")
+            print("Upper bound ({:.0f}%) found: {}".format(100*(n_fc-1)/n_fc, 
+                                                           level))
 
         missing = np.where(contrast_matrix[k, :] == 0)[0]
         computed = np.where(contrast_matrix[k, :] > 0)[0]
@@ -784,7 +812,7 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
                                    iterable(-np.sort(-np.array(pos_detect))),
                                    level, n_fc, cube, psf, angle_list, fwhm, algo,
                                    algo_dict, snrmap_empty, starphot,
-                                   approximated=True)
+                                   approximated=snr_approximation)
 
                     it = len(pos_detect)-1
                     for res_i in res:
@@ -808,7 +836,7 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
                                    iterable(-np.sort(-np.array(pos_non_detect))),
                                    level, n_fc, cube, psf, angle_list, fwhm, algo,
                                    algo_dict, snrmap_empty, starphot,
-                                   approximated=True)
+                                   approximated=snr_approximation)
 
                     it = len(pos_non_detect)-1
                     for res_i in res:
@@ -838,4 +866,6 @@ def completeness_map(cube, angle_list, psf, fwhm, algo, an_dist, ini_contrast,
             computed = np.where(contrast_matrix[k, :] > 0)[0]
             missing = np.where(contrast_matrix[k, :] == 0)[0]
 
-    return an_dist, contrast_matrix
+    comp_levels = np.linspace(1/n_fc, 1-1/n_fc, n_fc-1, endpoint=True)
+
+    return an_dist, comp_levels, contrast_matrix[:, 1:-1]
diff --git a/vip_hci/preproc/recentering.py b/vip_hci/preproc/recentering.py
index d0189af7..14c6e8a5 100644
--- a/vip_hci/preproc/recentering.py
+++ b/vip_hci/preproc/recentering.py
@@ -616,8 +616,9 @@ def cube_recenter_satspots(array, xy, subi_size=19, sigfactor=6, plot=True,
 
 
 def frame_center_radon(array, cropsize=None, hsize=0.4, step=0.01,
-                       mask_center=None, nproc=None, satspots_cfg=None,
-                       full_output=False, verbose=True, plot=True, debug=False):
+                       mask_center=None, nproc=None, satspots_cfg=None, 
+                       theta_0=0, delta_theta=5, full_output=False, 
+                       verbose=True, plot=True, debug=False):
     """ Finding the center of a broadband (co-added) frame with speckles and
     satellite spots elongated towards the star (center). We use the radon
     transform implementation from scikit-image.
@@ -641,12 +642,20 @@ def frame_center_radon(array, cropsize=None, hsize=0.4, step=0.01,
     nproc : int, optional
         Number of processes for parallel computing. If None the number of
         processes will be set to cpu_count()/2.
-    satspots_cfg: None or str ('x' or '+'), opt
+    satspots_cfg: None or str ('x', '+' or 'custom'), opt
         If satellite spots are present, provide a string corresponding to the
-        configuration of the satellite spots: either as a cross ('x') or as a
-        plus sign ('+'). Leave to None if no satellite spots present. Usually
-        the Radon transform centering works better if bright satellite spots
-        are present.
+        configuration of the satellite spots: as a cross ('x'), as a
+        plus sign ('+') or 'custom' (provide theta_0). Leave to None if no 
+        satellite spots present. Usually the Radon transform centering works 
+        better if bright satellite spots are present.
+    theta_0: float, optional
+        Azimuth of the first satellite spot. Only considered if satspots_cfg is
+        set to 'custom'.
+    delta_theta: float, optional
+        Azimuthal half-width in degrees of the slices considered along a '+' or
+        'x' pattern to calculate the Radon transform. E.g. if set to 5 for 'x'
+        configuration, it will consider slices from 40 to 50 deg in each 
+        quadrant.
     verbose : bool optional
         Whether to print to stdout some messages and info.
     plot : bool, optional
@@ -698,23 +707,44 @@ def frame_center_radon(array, cropsize=None, hsize=0.4, step=0.01,
         if satspots_cfg is not None:
             samples = 10
             if satspots_cfg == 'x':
-                theta = np.hstack((np.linspace(start=40, stop=50, num=samples,
+                theta = np.hstack((np.linspace(start=45-delta_theta, 
+                                               stop=45+delta_theta, num=samples,
                                                endpoint=False),
-                                   np.linspace(start=130, stop=140, num=samples,
+                                   np.linspace(start=135-delta_theta, 
+                                               stop=135+delta_theta, num=samples,
                                                endpoint=False),
-                                   np.linspace(start=220, stop=230, num=samples,
+                                   np.linspace(start=225-delta_theta, 
+                                               stop=225+delta_theta, num=samples,
                                                endpoint=False),
-                                   np.linspace(start=310, stop=320, num=samples,
+                                   np.linspace(start=315-delta_theta, 
+                                               stop=315+delta_theta, num=samples,
                                                endpoint=False)))
             elif satspots_cfg == '+':
-                theta = np.hstack((np.linspace(start=-5, stop=5, num=samples,
-                                   endpoint=False),
-                                   np.linspace(start=85, stop=95, num=samples,
-                                   endpoint=False),
-                                   np.linspace(start=175, stop=185, num=samples,
-                                   endpoint=False),
-                                   np.linspace(start=265, stop=275, num=samples,
-                                   endpoint=False)))
+                theta = np.hstack((np.linspace(start=-delta_theta, 
+                                               stop=delta_theta, num=samples,
+                                               endpoint=False),
+                                   np.linspace(start=90-delta_theta, 
+                                               stop=90+delta_theta, num=samples,
+                                               endpoint=False),
+                                   np.linspace(start=180-delta_theta, 
+                                               stop=180+delta_theta, num=samples,
+                                               endpoint=False),
+                                   np.linspace(start=270-delta_theta, 
+                                               stop=270+delta_theta, num=samples,
+                                               endpoint=False)))
+            elif satspots_cfg == 'custom':
+                theta = np.hstack((np.linspace(start=theta_0-delta_theta, 
+                                               stop=theta_0+delta_theta, 
+                                               num=samples, endpoint=False),
+                                   np.linspace(start=theta_0+90-delta_theta, 
+                                               stop=theta_0+90+delta_theta, 
+                                               num=samples, endpoint=False),
+                                   np.linspace(start=theta_0+180-delta_theta, 
+                                               stop=theta_0+180+delta_theta, 
+                                               num=samples, endpoint=False),
+                                   np.linspace(start=theta_0+270-delta_theta, 
+                                               stop=theta_0+270+delta_theta, 
+                                               num=samples, endpoint=False)))                
             else:
                 msg = "If not None, satspots_cfg can only be 'x' or '+'."
                 raise ValueError(msg)
@@ -734,12 +764,13 @@ def frame_center_radon(array, cropsize=None, hsize=0.4, step=0.01,
     if nproc == 1:
         costf = []
         for coord in coords:
-            res = _radon_costf(frame, cent, radint, coord, satspots_cfg)
+            res = _radon_costf(frame, cent, radint, coord, satspots_cfg, 
+                               theta_0, delta_theta)
             costf.append(res)
         costf = np.array(costf)
     elif nproc > 1:
         res = pool_map(nproc, _radon_costf, frame, cent, radint,
-                       iterable(coords), satspots_cfg)
+                       iterable(coords), satspots_cfg, theta_0, delta_theta)
         costf = np.array(res)
 
     if verbose:
@@ -781,7 +812,8 @@ def frame_center_radon(array, cropsize=None, hsize=0.4, step=0.01,
         return optimy, optimx
 
 
-def _radon_costf(frame, cent, radint, coords, satspots_cfg=None):
+def _radon_costf(frame, cent, radint, coords, satspots_cfg=None, theta_0=0, 
+                 delta_theta=5):
     """ Radon cost function used in frame_center_radon().
     """
     frame_shifted = frame_shift(frame, coords[0], coords[1])
@@ -791,26 +823,47 @@ def _radon_costf(frame, cent, radint, coords, satspots_cfg=None):
     if satspots_cfg is None:
         theta = np.linspace(start=0, stop=360, num=frame_shifted_ann.shape[0],
                             endpoint=False)
-    elif satspots_cfg == 'x':
+    elif satspots_cfg == '+':
         samples = 10
-        theta = np.hstack((np.linspace(start=40, stop=50, num=samples,
+        theta = np.hstack((np.linspace(start=-delta_theta, stop=delta_theta, 
+                                       num=samples, endpoint=False),
+                           np.linspace(start=90-delta_theta, 
+                                       stop=90+delta_theta, num=samples,
                                        endpoint=False),
-                           np.linspace(start=130, stop=140, num=samples,
+                           np.linspace(start=180-delta_theta, 
+                                       stop=180+delta_theta, num=samples,
                                        endpoint=False),
-                           np.linspace(start=220, stop=230, num=samples,
-                                       endpoint=False),
-                           np.linspace(start=310, stop=320, num=samples,
+                           np.linspace(start=270-delta_theta, 
+                                       stop=270+delta_theta, num=samples,
                                        endpoint=False)))
-    else:
+    elif satspots_cfg == 'x':
         samples = 10
-        theta = np.hstack((np.linspace(start=-5, stop=5, num=samples,
+        theta = np.hstack((np.linspace(start=45-delta_theta, 
+                                       stop=45+delta_theta, num=samples,
                                        endpoint=False),
-                           np.linspace(start=85, stop=95, num=samples,
+                           np.linspace(start=135-delta_theta, 
+                                       stop=135+delta_theta, num=samples,
                                        endpoint=False),
-                           np.linspace(start=175, stop=185, num=samples,
+                           np.linspace(start=225-delta_theta, 
+                                       stop=225+delta_theta, num=samples,
                                        endpoint=False),
-                           np.linspace(start=265, stop=275, num=samples,
+                           np.linspace(start=315-delta_theta, 
+                                       stop=315+delta_theta, num=samples,
                                        endpoint=False)))
+    elif satspots_cfg == 'custom':
+        samples = 10
+        theta = np.hstack((np.linspace(start=theta_0-delta_theta, 
+                                       stop=theta_0+delta_theta, 
+                                       num=samples, endpoint=False),
+                           np.linspace(start=theta_0+90-delta_theta, 
+                                       stop=theta_0+90+delta_theta, 
+                                       num=samples, endpoint=False),
+                           np.linspace(start=theta_0+180-delta_theta, 
+                                       stop=theta_0+180+delta_theta, 
+                                       num=samples, endpoint=False),
+                           np.linspace(start=theta_0+270-delta_theta, 
+                                       stop=theta_0+270+delta_theta, 
+                                       num=samples, endpoint=False)))     
     sinogram = radon(frame_shifted_ann, theta=theta, circle=True)
     costf = np.sum(np.abs(sinogram[int(cent), :]))
     return costf
@@ -867,7 +920,8 @@ def cube_recenter_radon(array, full_output=False, verbose=True, imlib='vip-fft',
     cy, cx = frame_center(array[0])
     array_rec = array.copy()
 
-    for i in Progressbar(range(n_frames), desc="frames", verbose=verbose):
+    for i in Progressbar(range(n_frames), desc="Recentering frames...", 
+                         verbose=verbose):
         y[i], x[i] = frame_center_radon(array[i], verbose=False, plot=False,
                                         **kwargs)
         array_rec[i] = frame_shift(array[i], cy-y[i], cx-x[i], imlib=imlib,
@@ -878,7 +932,7 @@ def cube_recenter_radon(array, full_output=False, verbose=True, imlib='vip-fft',
         timing(start_time)
 
     if full_output:
-        return array_rec, y, x
+        return array_rec, cy-y, cx-x
     else:
         return array_rec
 
@@ -1541,7 +1595,7 @@ def cube_recenter_via_speckles(cube_sci, cube_ref=None, alignment_iter=5,
     if recenter_median and fit_type not in {'gaus', 'ann'}:
         raise TypeError("fit type not recognized. Should be 'ann' or 'gaus'")
 
-    if crop and not subframesize < y/2.:
+    if crop and not subframesize < y:
         raise ValueError('`Subframesize` is too large')
 
     if cube_ref is not None:
@@ -1618,7 +1672,11 @@ def cube_recenter_via_speckles(cube_sci, cube_ref=None, alignment_iter=5,
             else:
                 crop_sz = int(6*fwhm)
             if not crop_sz % 2:
-                crop_sz += 1
+                # size should be odd and small, but at least 7 for 2D fit
+                if crop_sz>7:
+                    crop_sz -= 1
+                else:
+                    crop_sz += 1
             sub_image, y1, x1 = get_square(alignment_cube[0], size=crop_sz,
                                            y=ceny, x=cenx, position=True)
 
diff --git a/vip_hci/psfsub/nmf_fullfr.py b/vip_hci/psfsub/nmf_fullfr.py
index 0d3d4697..f240a483 100644
--- a/vip_hci/psfsub/nmf_fullfr.py
+++ b/vip_hci/psfsub/nmf_fullfr.py
@@ -227,13 +227,13 @@ def nmf(cube, angle_list, cube_ref=None, ncomp=1, scaling=None, max_iter=10000,
                 residuals = res_result
             if handle_neg == 'mask':
                 residuals_cube[fr][yy, xx] = residuals
-                if fr == n-1:
+                if fr == n-1 and full_output:
                     for pp in range(ncomp):
                         H_tmp[pp][yy, xx] = H[pp]
                     H = H_tmp
             else:
                 residuals_cube[fr] = residuals.reshape((y, x))
-                if fr == n-1:
+                if fr == n-1 and full_output:
                     H = H.reshape(ncomp, y, x)
 
     if verbose: